tag:blogger.com,1999:blog-673581742663993292024-02-05T05:27:08.291-05:00OraProfessionals free white papers and Technology newsHello Everybody, welcome to the OraProfessionals blog, this blog is designed to provide our customers and prospects with the latest technology news that affect the database world, as well as with cool white papers that will allow your enterprise to be more efficient. Enjoy and check back from time to time.OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.comBlogger73125tag:blogger.com,1999:blog-67358174266399329.post-16555180999159183282023-06-09T13:19:00.003-04:002023-06-09T13:30:49.702-04:00The importance of joins in relational databases<div><p> Relational databases play a crucial role in organizing and managing vast amounts of data efficiently. One of the key operations in relational databases is the join operation, which allows the integration of data from multiple tables based on common attributes. This paper highlights the significance of joins in relational databases. </p></div><div>Relational databases are widely used in various industries, including finance, healthcare, e-commerce, and more, due to their ability to store and manipulate structured data. Joins enable the retrieval of relevant information by combining data from multiple tables based on common columns. <br /><br />We have spoken previously about the relational model where data is stored in tables; those tables are self-contained from the logical perspective; in other words, the student table contains information about the students, the grades table contains information about the grades, the calendar table contains information about the academic calendar and so on. But most of the time, you are going to need to collect information from multiple tables to be able to produce meaningful information, and that is where you leverage the join technique to traverse from table to table to get the information you need using the relationships among those tables. <br /><br />There are many types of joins, and they will be discussed in detail further down the road,<br /><br /><ul style="text-align: left;"><li>Inner Join </li><li>Left Join </li><li>Right Join (outer join)</li><li>Full Join </li><li>Cross Join </li><li>Self-Join</li></ul><p><br />Inner joins and right joins (also commonly known as outer joins) are the two most common types of joins; on an inner join, rows from the two tables in the join are included in the result only if their related columns match, while outer join returns rows from one table in the join even if the other table does not contain a matching row. <br /><br />Here we have six students, but only five grades; please notice that “Nathan Edwards,” with student id 6519659, has not had grades posted yet.</p><p dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 0pt;"><span style="background-color: transparent; color: #6aa84f; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre;"><span style="border: medium none; display: inline-block; height: 196px; overflow: hidden; width: 364px;"><img height="196" src="https://lh6.googleusercontent.com/2SdGtwtL7srweamfuHPbDRVWN8qtNFteIcwEwtYwopppGr3foxrIzgkCFJALOfYWpYDkr9fZjsyW78X3tUT6_3ebv15fMzRH5gogRL8K01qT3oHqSOGV3W98Eqa6Fvh5jWWYfEMbze9xO-LdnjJtgZo" style="margin-left: 0px; margin-top: 0px;" width="364" /></span></span></p><p dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 0pt;"><span style="background-color: transparent; color: #6aa84f; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre;"> </span></p>When we join both tables using the where clause, there has to be a match on both tables in order to be included in the result set. </div><div> </div><div><p dir="ltr" style="line-height: 1.38; margin-bottom: 12pt; margin-top: 0pt;"><span style="background-color: transparent; color: #6aa84f; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre;"><span style="border: medium none; display: inline-block; height: 273px; overflow: hidden; width: 383px;"><img height="273" src="https://lh6.googleusercontent.com/yVToza6MSlYiQMxJFtogogRM9hth4D41xs5N-bkGFD5L5AzUieF5-vfz287d-WXcKXkGGqMaOfld2xUjCnfEfyediLZiZ17RMmwFWWbjvmdxPxkfYnVh2xptrAj5ZleqqXqJSazkqjb20j5CjE_JWyQ" style="margin-left: 0px; margin-top: 0px;" width="383" /></span></span></p><p><br />However, there are times when you want all records to be displayed, even if it is to create awareness that a professor. To display all of the students who exist on the table, including those who do not have a grade, use the Outer Join operator. This operator, a plus sign enclosed within parentheses (+), will be placed on the side of the join condition that is deficient in information – the right side or student_grade table. </p><p><br /><img src="https://lh3.googleusercontent.com/LDCO089FcmRqjxaLSMJuxZnGHMRfhBFMjeBA0xQ6dYl24p5n9QJ_YpPtAWWKCVTYKgGzgFHtS5frZbswBpOUWeOCSGTG-Yg2eE4DBykoXraXGEd-K-a1KaeOHE1iigGjIdeus_S74ADxdseV5NXA5-A" /><br /><br />Conclusion Joins play a fundamental role in relational databases, enabling the integration and retrieval of data from multiple tables based on common attributes. The ability to combine data efficiently has significant implications for data analysis, decision-making, and business operations across diverse industries. Understanding the various types of joins, their benefits, and their challenges is crucial for database administrators, developers, and analysts to design and optimize join operations effectively. By leveraging join optimization techniques, organizations can harness the full potential of relational databases and derive valuable insights from their data.</p></div>OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-27049188162392073612021-07-21T18:40:00.001-04:002021-07-21T18:41:43.794-04:00Time Boxing<p> <b><span style="color: #04ff00;"> </span></b></p><p style="text-align: center;"><b><span style="color: #04ff00;"><img alt="" src="data:image/png;base64,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" /> <br /></span></b></p><p><b><span style="color: #04ff00;">DISCLAIMER</span>: </b>I am not the author of this article, and unfortunately I don't know how it got into my inbox, but I use this technique, and agree with the statements below, I am sharing it with you as it could be useful for you as well. the only contribution that I will add is that I also categorize with colors my to-do tasks, green for those that are not important because have a flexible deadline, red for those that are very important, orange is for research time or learning time and purple for anything personal.</p><p style="text-align: left;"><span style="color: #444444;"><span style="font-size: small;"> <span style="font-family: georgia;"><span class="summary-header font-bold" style="-moz-text-size-adjust: auto; -webkit-text-stroke-width: 0px; box-sizing: inherit; float: left; font-style: normal; font-variant-caps: normal; font-weight: 700; letter-spacing: normal; line-height: 1.75; text-align: start; text-decoration: none; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px;"><span style="color: white;">"Sunmary</span> </span><span class="summary-text" style="-moz-text-size-adjust: auto; -webkit-text-stroke-width: 0px; box-sizing: inherit; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; line-height: 1.75; margin-bottom: 1rem; margin-top: 0px; text-align: start; text-decoration: none; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px;"></span></span></span></span></p><p style="box-sizing: inherit; letter-spacing: -0.0104167em; line-height: 1.64706; margin: 0px 0px 1.25rem; padding: 0px;"><span style="font-size: small;">In a recent survey of 100 productivity hacks, timeboxing — migrating to-do lists into calendars — was ranked the most useful. Timeboxing can give you a much greater sense of control over your workday. You decide what to do and when to do it, block out all distractions for that timeboxed period, and get it done. The benefits of calendarized timeboxing are many, varied, and highly impactful. The practice improves how we feel (control), how much we achieve as individuals (personal productivity), and how much we achieve in the teams we work in (enhanced collaboration). This may be the single most important skill or practice you can possibly develop as a modern professional, as it buys you so much time to accomplish anything else. It’s also straightforwardly applied and at no cost. Box some time to implement a version of this that works for you.<span style="box-sizing: inherit; letter-spacing: 0px; line-height: 1.75; margin-bottom: 1rem; margin-top: 0px;"><button class="btn-summary-collapse text-button contextual-btn" style="background-position: 0px 0px; border-color: rgb(160, 30, 2) rgb(160, 30, 2) rgb(195, 221, 219); border-radius: 0px; border-width: 0px 0px 3px; box-sizing: inherit; display: inline; font-stretch: inherit; font-style: inherit; font-variant-caps: inherit; letter-spacing: 0px; line-height: 1; overflow: visible; padding: inherit; white-space: nowrap;">"</button></span> </span></p><p style="box-sizing: inherit; letter-spacing: -0.0104167em; line-height: 1.64706; margin: 0px 0px 1.25rem; padding: 0px;"><span style="font-size: small;">Five years ago I read Daniel Markovitz’s argument for <a href="https://hbr.org/2012/01/to-do-lists-dont-work" style="background-position: 0px 0px; box-sizing: inherit; line-height: inherit; text-decoration: none;">migrating to-do lists into calendars</a>. Since then, my productivity has at least doubled.</span></p><p></p><p style="text-align: left;"><span style="color: #444444;"><span style="font-family: georgia;"><span style="font-size: small;"><span class="summary-text" style="-moz-text-size-adjust: auto; -webkit-text-stroke-width: 0px; box-sizing: inherit; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; line-height: 1.75; margin-bottom: 1rem; margin-top: 0px; text-align: start; text-decoration: none; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px;"></span></span></span></span></p><p style="box-sizing: inherit; letter-spacing: -0.0104167em; line-height: 1.64706; margin: 0px 0px 1.25rem; padding: 0px;"><span style="font-size: small;">That momentous (at least for me) article describes five problems with the to-do list. First, they overwhelm us with too many choices. Second, we are naturally drawn to simpler tasks which are more easily accomplished. Third, we are rarely drawn to important-but-not-urgent tasks, like <a href="https://hbr.org/2018/07/take-control-of-your-learning-at-work" style="background-position: 0px 0px; box-sizing: inherit; line-height: inherit; text-decoration: none;">setting aside time for learning</a>. Fourth, to-do lists on their own lack the essential context of what time you have available. Fifth, they lack a commitment device, to keep us honest.</span></p><p style="box-sizing: inherit; letter-spacing: -0.0104167em; line-height: 1.64706; margin: 0px 0px 1.25rem; padding: 0px;"><span style="font-size: small;">This was enough for me. I converted from my religiously observed to-do list (daily work plan) to this calendar system, also known as timeboxing (a term borrowed from agile project management). All five of Markovitz’s criticisms of to-do lists have manifested for me. In a study we conducted of <a href="https://learn.filtered.com/hubfs/Definitive%20100%20Most%20Useful%20Productivity%20Hacks.pdf" style="background-position: 0px 0px; box-sizing: inherit; line-height: inherit; text-decoration: none;">100 productivity hacks</a>, timeboxing was ranked as the most useful. And over the last few years, I have also discovered several additional benefits of timeboxing, which I would like to share.</span></p><p style="box-sizing: inherit; letter-spacing: 0px; line-height: 1.75; margin: 0px 0px 1rem; padding: 0px;"><span style="font-size: small;"><span style="background-color: rgba(0, 0, 0, 0); border-color: rgb(80, 80, 80); box-sizing: inherit; letter-spacing: 0px; line-height: 1.75; margin-bottom: 1rem; margin-top: 0px;"><button class="btn-summary-collapse text-button contextual-btn" style="background-position: 0px 0px; border-color: rgb(160, 30, 2) rgb(160, 30, 2) rgb(195, 221, 219); border-radius: 0px; border-width: 0px 0px 3px; box-sizing: inherit; display: inline; font-stretch: inherit; font-style: inherit; font-variant-caps: inherit; letter-spacing: 0px; line-height: 1; overflow: visible; padding: inherit; white-space: nowrap;"></button></span><span style="letter-spacing: -0.0104167em;">First, timeboxing into a calendar enables the relative positioning of work. If you know that a promotional video has to go live on a Tuesday and that the production team needs 72 hours to work on your copy edits, then you know when to place the timebox. In fact, you know </span><span style="box-sizing: inherit; font-style: italic; letter-spacing: -0.0104167em; line-height: inherit;">where</span><span style="letter-spacing: -0.0104167em;"> to place the timebox: it’s visual, intuitive, obvious. Working hard and trying your best is sometimes not actually what’s required; the alternative — getting the right thing done at the right time — is a better outcome for all.</span></span></p><p style="box-sizing: inherit; letter-spacing: -0.0104167em; line-height: 1.64706; margin: 0px 0px 1.25rem; padding: 0px;"><span style="font-size: small;"><span style="letter-spacing: -0.0104167em;">Second, the practice enables you to communicate and collaborate more effectively. If all of your critical work (and maybe just all of your work, period) is in your calendar, colleagues can</span><span style="letter-spacing: -0.0104167em;"> </span><span style="box-sizing: inherit; font-style: italic; letter-spacing: -0.0104167em; line-height: inherit;">see</span><span style="letter-spacing: -0.0104167em;"> </span><span style="letter-spacing: -0.0104167em;">it. So not only are you more likely to plan your work to accommodate others’ schedules (the paragraph above), others are able to check that your work schedule works for them. Shared calendars (with attendant privacy options) are the norm in the corporate world now, with Microsoft and Google leading the way.</span></span></p><p></p><p style="text-align: left;"><span style="color: #444444;"><span style="font-family: georgia;"><span style="font-size: small;"><span class="summary-text" style="-moz-text-size-adjust: auto; -webkit-text-stroke-width: 0px; box-sizing: inherit; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; line-height: 1.75; margin-bottom: 1rem; margin-top: 0px; text-align: start; text-decoration: none; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px;"></span></span></span></span></p><p style="box-sizing: inherit; letter-spacing: -0.0104167em; line-height: 1.64706; margin: 0px 0px 1.25rem; padding: 0px;"><span style="font-size: small;">Third, it gives you a comprehensive record of what you’ve done. Maybe you get to the end of a blistering week and you’re not even sure what happened? It’s in your calendar. Or a performance review looms — what were the highs and lows of the last six months? It’s in your calendar. Or you’re keen to use an hour to plan the following week and need to know what’s on the horizon. It’s in your calendar. Just make sure you have your own personal (i.e. not exclusively employer-owned) version of this data, or someday it won’t be in your calendar.</span></p><p style="box-sizing: inherit; letter-spacing: -0.0104167em; line-height: 1.64706; margin: 0px 0px 1.25rem; padding: 0px;"><span style="font-size: small;">Fourth, you will feel more in control. This is especially important because control (aka volition, autonomy, etc.) may be the <a href="https://www.weforum.org/agenda/2016/08/autonomy-could-be-the-key-to-workplace-happiness" style="background-position: 0px 0px; box-sizing: inherit; line-height: inherit; text-decoration: none;">biggest driver of happiness at work</a>. Constant interruptions make us <a href="https://www.economist.com/finance-and-economics/2017/12/07/are-digital-distractions-harming-labour-productivity" style="background-position: 0px 0px; box-sizing: inherit; line-height: inherit; text-decoration: none;">less happy</a> and <a href="https://research.udemy.com/wp-content/uploads/2018/03/FINAL-Udemy_2018_Workplace_Distraction_Report.pdf" style="background-position: 0px 0px; box-sizing: inherit; line-height: inherit; text-decoration: none;">less productive</a>. Timeboxing is the proper antidote to this. You decide what to do and when to do it, block out all distractions for that timeboxed period, and get it done. Repeat. Consistent control and demonstrable accomplishment is hugely satisfying, even addictive. This is not just about productivity (largely external), this is about <a href="https://qz.com/work/1470338/time-management-tips-from-a-google-productivity-expert/" style="background-position: 0px 0px; box-sizing: inherit; line-height: inherit; text-decoration: none;">intent</a> (internal, visceral) and how we feel.</span></p><p style="box-sizing: inherit; letter-spacing: -0.0104167em; line-height: 1.64706; margin: 0px 0px 1.25rem; padding: 0px;"><span style="font-size: small;">Fifth, you will be substantially more productive. <a href="https://www.economist.com/news/1955/11/19/parkinsons-law" style="background-position: 0px 0px; box-sizing: inherit; line-height: inherit; text-decoration: none;">Parkinson’s law</a> flippantly states that work expands so as to fill the time available for its completion. Although it’s not really a law (it’s more of a wry observation), most of us would concede that there is some truth to it (especially as it <a href="https://www.thecut.com/2018/11/most-meetings-are-an-hour-and-thats-too-long.html" style="background-position: 0px 0px; box-sizing: inherit; line-height: inherit; text-decoration: none;">pertains to meetings</a>). A corollary of this observation in practice is that we often spend more time on a task than we should, influenced by the time that happens to be available (circumstantial) rather than how long the work should really take (objective). Disciplined timeboxing breaks us free of Parkinson’s law by imposing a sensible, finite time for a task and sticking to that. Although it’s hard to precisely quantify the benefits of any time management or productivity measures, this is clearly enormous. Just take a commonplace example: do you habitually take two hours (cumulatively, often drawn out over multiple sessions) to complete a task that really could have been done in a single, focused, time-boxed hour? If the answer is yes, then your personal productivity might be double what it is right now.</span></p><p style="box-sizing: inherit; letter-spacing: -0.0104167em; line-height: 1.64706; margin: 0px 0px 1.25rem; padding: 0px;"><span style="font-size: small;">The benefits of calendarized timeboxing are many, varied, and highly impactful. The practice improves how we feel (control), how much we achieve as individuals (personal productivity), and how much we achieve in the teams we work in (enhanced collaboration). This may be the single most important skill or practice you can possibly develop as a modern professional, as it buys you so much time to accomplish anything else. It’s also straightforwardly applied and at no cost. Box some time to implement a version of this that works for you."</span></p><p></p><p> </p><p> </p><p> </p><p><br /></p><p><br /></p>OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-31152574135814172952021-06-07T19:03:00.002-04:002021-06-07T19:08:02.440-04:00You are not doing the proper assessment.<p> </p><p dir="ltr" id="docs-internal-guid-b8490ccc-7fff-3a3e-50db-0f874fca906a" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhY_wbr1v4263suRkKk-NNCYv1-HIyxAfRRrsp2I_QQcKWuMq9SVNTAbk7wAvlMAMcr094i3Cbayw4qEFg9KxMmTS1L4abXVGnS2gYp13fgWs5YnLoZfr_rUeuxqH94EF3U0vPLS4iIqg/s278/Screen+Shot+2021-06-07+at+7.01.54+PM.png" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="170" data-original-width="278" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhY_wbr1v4263suRkKk-NNCYv1-HIyxAfRRrsp2I_QQcKWuMq9SVNTAbk7wAvlMAMcr094i3Cbayw4qEFg9KxMmTS1L4abXVGnS2gYp13fgWs5YnLoZfr_rUeuxqH94EF3U0vPLS4iIqg/s0/Screen+Shot+2021-06-07+at+7.01.54+PM.png" /></a></div> <span style="background-color: transparent; color: black; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre;"> </span><p></p><p dir="ltr" id="docs-internal-guid-b8490ccc-7fff-3a3e-50db-0f874fca906a" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="color: #38761d;"><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">I have been in leadership roles for at least 14 years now, and when I have a hiring need, I personally weigh my hiring decision 50% based on soft skills and 50% on hard skills. The reason is straightforward; technology is constantly changing. I have been in places where X technology was used 100% of the time, therefore very relevant for the job, and in a matter of a week, you are using a totally different technology. </span></span></p><span style="color: #38761d;"><br /></span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="color: #38761d;"><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">I look for candidates with the passion and desire to learn, candidates that can adapt to the constant technology changes, that are open to sharing their knowledge with the team, that are a cultural fit with the organization, candidates that are enthusiastic and excited about the work they do. </span></span></p><span style="color: #38761d;"><br /></span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="color: #38761d;"><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">So, if technology is constantly changing, why do we fixate on the technical skills as if that was the most critical element?. </span></span></p><span style="color: #38761d;"><br /></span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="color: #38761d;"><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">I give you an example; 20 years ago, I was working for an International Software Company leader on mobile communications, I was a Database Administrator, and I got asked to create a C program based on pseudo-code given to me by a brilliant R&D director that happened to be my boss’s boss (Let’s call him Bob); I was good at SQL and PL/SQL, I also had previous coding experience I gained while earning my bachelor degree (COBOL, Fortran, REX, Basic, etc.). However, I had no prior experience with C, so once I got the task, I told Bob that I could do it, but It may take a little time since I have no previous experience coding in C. </span></span></p><span style="color: #38761d;"><br /></span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="color: #38761d;"><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">I could see that Bob had more faith in me than what I had in myself at that time. In my mind, I was estimating two weeks to code the program as it was not trivial ( a database fail-over routine that used a heartbeat technique to check that the database was healthy and responding to calls in less than 5 seconds; otherwise, the program will shut down the ill database, start a different database, reconnect database sessions to the new database and start the heartbeat process on the new database). </span></span></p><span style="color: #38761d;"><br /></span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="color: #38761d;"><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">I have to admit that I was a bit intimidated by Bob approaching me with this request; Bob was a brilliant man that mostly kept to himself, he was very respected in the company, and previous to his request, I do not recall we interacting directly ever, but as part of group meetings. </span></span></p><span style="color: #38761d;"><br /></span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="color: #38761d;"><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">I was excited and worried at the same time, but once I started, I was able to complete the code in 3 days; just after three days, I went from not knowing C to code a relatively complex C program. Bob, was surprised as he was expecting it would take longer, he asked me to demo it to him, which I did, and he was happy with it. </span></span></p><span style="color: #38761d;"><br /></span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="color: #38761d;"><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">My point is that sometimes hiring managers are fixating on technical qualifications, to the point that it looks like a contest of who knows more about a specific technology, and if they know more than you, then you are not qualified, they often do not evaluate well the soft skills of the candidate, and ignore the potential benefit that the person can bring to the organization. </span></span></p><span style="color: #38761d;"><br /></span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="color: #38761d;"><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Ask yourself, how long will it take for a person with X technology to transition to Y similar technology? I will be surprised if you tell me more than 2 or 3 weeks, however getting a person in the team with the wrong soft skills can significantly delay work, demoralize the group and create a management nightmare for you. </span></span></p><span style="color: #38761d;"><br /></span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="color: #38761d;"><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">One of my old mentors and friend always says, </span><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: italic; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">“It is not the technology; it is the people.”</span></span></p><span style="color: #38761d;"><br /></span><p dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;"><span style="color: #38761d;"><span style="background-color: transparent; font-family: Arial; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Cheers!!</span></span></p>OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com1tag:blogger.com,1999:blog-67358174266399329.post-9586904468039867422021-04-12T17:20:00.002-04:002021-04-12T17:20:30.569-04:00-- How to create an exit loop in C++ --<p> This is another typical question from my students. </p><p>#include <iostream><br />using namespace std;<br /><br />int main()<br />{<br /> bool exit = false; // Variable to be used to signal the exit. <br /> char question; // Variable holding the value to be entered from the keyboard<br /> int x = 1;<br /> while (exit == false) // If the user indicated they want to exit skip the loop<br /> {<br /> cout<<"Hello World:" << x << endl ;<br /> cout << "Do you want to exit (Y/N): "; // Ask the question<br /> cin >> question; // Collect the answer from the keyboard<br /> if (toupper(question) == 'Y') // Evaluate the answer and change the value of exit.<br /> exit = true;<br /> <br /> }<br /> return 0;<br /></p>OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-71118392906518514752021-04-12T14:30:00.000-04:002021-04-12T14:30:09.912-04:00-- How to introduce a pause in your C++ program -- <p><span style="color: white;"> I often get asked by my students how to introduce a pause on their C++ program, the problem is that depending of the IDE you are using, after your program executes is closes the command line window automatically, so here are my 2 favorite approaches. <br /></span></p><p><span style="color: white;"> Windows Operating System</span><br /></p><div class="" style="-webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: black; font-family: Helvetica; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: auto; text-align: start; text-decoration: none; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px;"><br class="" /></div><div class="" style="-webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: black; font-family: Helvetica; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: auto; text-align: start; text-decoration: none; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px;"><div class=""><span style="color: #04ff00;">#include <iostream></span></div><div class=""><span style="color: #04ff00;">#include <cstdlib></span></div><div class=""><span style="color: #04ff00;">using namespace std;</span></div><div class=""><span style="color: #04ff00;"><br class="" /></span></div><div class=""><span style="color: #04ff00;">int main()</span></div><div class=""><span style="color: #04ff00;">{</span></div><div class=""><span style="color: #04ff00;"> cout << "Please press any key to continue";</span></div><div class=""><span style="color: #04ff00;"> system("pause");</span></div><div class=""><span style="color: #04ff00;"> return 0;</span></div><div class=""><span style="color: #04ff00;">}</span></div><div class=""><br class="" /></div><div class=""><p style="text-align: left;"><span style="color: white;"><span style="font-size: small;">If you are using either Linux / Unix unfortunately the pause command does not work, but you can use something like this</span></span></p></div><div class=""><br class="" /></div><div class=""><div class=""><span style="color: #04ff00;">#include <iostream></span></div><div class=""><span style="color: #04ff00;">#include <cstdlib></span></div><div class=""><span style="color: #04ff00;">using namespace std;</span></div><div class=""><span style="color: #04ff00;"><br class="" /></span></div><div class=""><span style="color: #04ff00;">int main()</span></div><div class=""><span style="color: #04ff00;">{</span></div><div class=""><span style="color: #04ff00;"> cout << "Please press any key to continue";</span></div><div class=""><span style="color: #04ff00;"> cin.ignore();</span></div><div class=""><span style="color: #04ff00;"> return 0;</span></div><div class=""><span style="color: #04ff00;">}</span></div></div><div class=""><br class="" /></div><div class=""><br /></div></div><p> </p>OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-5633166358512178162019-11-23T20:26:00.002-05:002019-11-23T20:33:01.284-05:00-- How to clean your screen when coding C++ in a Mac OSx --<span style="font-family: "arial" , "helvetica" , sans-serif;">While working with a Mac Xcode is the most popular compiler, the problem is that Xcode uses a pseudo-terminal to run your code and the use of system("clear") will use give you an error such as TERM environment variable not set.</span><br />
<br />
<span style="font-family: "arial" , "helvetica" , sans-serif;"> </span><br />
<a href="https://www.blogger.com/blogger.g?blogID=67358174266399329" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img alt="" border="0" height="152" src="data:image/png;base64,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" style="cursor: move;" width="400" /></a><span style="font-family: "arial" , "helvetica" , sans-serif;"> </span><br />
<span style="font-family: "arial" , "helvetica" , sans-serif;">There is really no easy way to bypass that issue in Xcode, you could try to have a loop that introduces 250 or so blank endlines (endl) and it could look like the screen was cleared and you are refreshing it, but it could get messy. </span><br />
<br />
<span style="font-family: "arial" , "helvetica" , sans-serif;">The other alternative is to run your program from the OSx Terminal, for this you first navigate to where your .cpp code is, in my case it is in my desktop under the Test/Test so I navigate there using the cd (change directory) command, then I proceed to compile the C++ program using the make command as below. It creates an executable main without the .cpp extension</span><br />
<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://www.blogger.com/blogger.g?blogID=67358174266399329" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img alt="" border="0" height="165" src="data:image/png;base64,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" style="cursor: move;" width="400" /></a></div>
<br />
<br />
<br />
<br />
<span style="font-family: "arial" , "helvetica" , sans-serif;">Next, I proceed to run the program</span><br />
<br />
<br />
<span style="font-family: "arial" , "helvetica" , sans-serif;"></span><br />
<span style="font-family: "arial" , "helvetica" , sans-serif;"><img alt="" src="data:image/png;base64,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" /></span><br />
<span style="font-family: "arial" , "helvetica" , sans-serif;">And below is the result as expected. You should only see one of the cout and that is why the screen was cleared and the first cout is gone.</span><br />
<br />
<span style="font-family: "arial" , "helvetica" , sans-serif;"> <img alt="" src="data:image/png;base64,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" /></span><br />
<br />
<br />
<br />
<br />
<br />
OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-63742103868324268622018-05-12T21:37:00.000-04:002018-05-12T21:37:47.634-04:00-- How to defy the elasticity property --<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg7uwbPmqxIbeeXoVAUnY6xHqjkpZL0sQlgR71BnYb-2n3gh8jBOX4kQExOJW1U0XMkP9WutfxW8wYdO1O7FQd2Va_NW14iZZZSf1oXjNDgilQndBQ1ZXMTYmCDar746k5wj-d3b0Yq4Q/s1600/88305922.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="500" data-original-width="877" height="182" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg7uwbPmqxIbeeXoVAUnY6xHqjkpZL0sQlgR71BnYb-2n3gh8jBOX4kQExOJW1U0XMkP9WutfxW8wYdO1O7FQd2Va_NW14iZZZSf1oXjNDgilQndBQ1ZXMTYmCDar746k5wj-d3b0Yq4Q/s320/88305922.jpg" width="320" /></a></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
Leadership in corporate America often struggles with the demands of doing more with less. This is especially true when you work for a public company where results must either meet or exceed expectations, and those expectations increase with every quarter. The pressure forces each service unit in a public company, including IT, to face the same question: How do we comply with corporate objectives while maintaining the ability to service natural organic growth without sacrificing quality? Although each situation is unique for a company, the answer always seems to require a combination of technology and efficiency.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-indent: .5in;">
They say necessity is the source of all innovation, and it is by necessity that I have found innovative ways to use technology and efficiency to accomplish more with fewer resources. With a team of just three full-time database administrators, I manage the 24x7 operation of more than 1,300 databases, spread over multiple platforms including Oracle, SQL Server, MySQL, Teradata, and MongoDB. For those of you who are not familiar with the database administration side of IT, the market standard recommends one DBA manage between 30 and 50 databases (depending on database size and complexity). Using the leanest end of that standard, my team should be composed of 26 database administrators, which doesn’t take into consideration the added complexity of having to support databases on five different platforms.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<span style="mso-tab-count: 1;"> </span>This is taking the “do more with less” mantra to the extreme. I have only 15% of the resources that industry standards say I need in order to successfully run my department. Luckily I am a technical manager, with a background in database administration so I could count myself as a resource (if I ever find a way out of the back-to-back meetings). And I am especially grateful that I was allowed to hand pick my team, and selected some of the best resources I’ve worked with over the last thirty years. Each of my three DBAs has 20+ years of experience, specialize in different technologies, and possess different professional strengths. You may argue that since we need coverage for so many databases I should have hired more junior DBAs to stretch my payroll budget, rather than just a select few with substantial experience. My response would be that time is literally money; every minute an essential database is down, the company’s earnings potential is negatively impacted. It’s important to have the right tools for the job, and my experienced DBAs know what warning signs to watch for to prevent systems from breaking down, rather than just responding when things go wrong.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-indent: .5in;">
I am proud of what my team has been able to accomplish, but if someone had told me at the interview that we would have to support such a complex operation with such a lean team… well, my mind would have been screaming, “Danger Will Robinson, danger!” and I likely would not have taken the position. To be fair, my employer was unaware of the real situation, and it was only through several years of diligent investigation that we finally uncovered all the information systems we are responsible for. It didn’t take long for me to realize that in order to succeed, I would need to:<o:p></o:p></div>
<div class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0in; margin-left: 1.0in; margin-right: .5in; margin-top: 0in; text-indent: -.2in;">
1) automate and standardize as much as possible,<o:p></o:p></div>
<div class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0in; margin-left: 1.0in; margin-right: .5in; margin-top: 0in; text-indent: -.2in;">
2) focus on proactive support,<o:p></o:p></div>
<div class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0in; margin-left: 1.0in; margin-right: .5in; margin-top: 0in; text-indent: -.2in;">
3) set multi-year objectives to bring the ecosystem to a supportable version, and, most importantly,<o:p></o:p></div>
<div class="MsoNormal" style="margin-bottom: .0001pt; margin-bottom: 0in; margin-left: 1.0in; margin-right: .5in; margin-top: 0in; text-indent: -.2in;">
4) hire and retain the best talent my budget would allow in order to reduce the technical gap.<o:p></o:p></div>
<div class="MsoNormal" style="text-indent: .5in;">
Having information systems properly supported is key to the success of any organization. While we have found ways to make a lean teamwork, I am not suggesting you reduce the size of your team: remember – we got to this formula out of necessity rather than choice. With the proper use of efficiencies and technologies, sometimes it really is possible to work smarter, not harder (or longer hours, or with more people). Some of the “smart” changes we have implemented are listed below.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-indent: .5in;">
<b style="mso-bidi-font-weight: normal;">Monitoring and diagnostics.</b> We standardized our monitoring of different technologies with a single tool, Oracle Enterprise Manager, which offers multiple plug-ins for different flavors of databases. This provides a single, streamlined process for monitoring and diagnostics regardless of the technology behind it. <o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-indent: .5in;">
<b style="mso-bidi-font-weight: normal;">Seamless response to production support emergencies.</b> We integrated Oracle Enterprise Manager’s alert system with a SaaS product (PagerDuty). The service receives the alert and contacts the on-call resource with the technical knowledge required to resolve the issue. PagerDuty has the entire team’s contact information, from the Database Administrators all the way to up the Senior Director of Database Engineering. If an alert does not receive a response within a set timeframe, the alert continues up the chain of command until a response is received. This ensures all alerts are responded to in a timely manner and encourages everyone to watch for alerts.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-indent: .5in;">
<b style="mso-bidi-font-weight: normal;">Night and weekend support. </b>With such a lean team, having everyone present during business hours is essential in order to keep up with the changing demands of the business. It would be humanly impossible for the team to support night incidents and show up for work the next day, and working every weekend is a great way to burn out a good employee. And unfortunately, the systems aren’t considerate enough to only break during office hours. We solved this problem by outsourcing our off-hours support to RDX. They are a US company who assigned named resources with skills and experience equivalent to the internal team. They are capable of working independently to solve problems, and they communicate what went wrong and what steps were taken to remedy the situation. We’ve even used their resources for overflow work during regular business hours. I am honestly impressed by the quality and capabilities of the resources at RDX.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-indent: .5in;">
<b style="mso-bidi-font-weight: normal;">Standardize as much as possible.</b> Having clear and well documented standard procedures is not only is a best practice - it also makes the diagnostic process a lot easier. We try to make documentation as detailed as possible, and this allows us to request help from helpdesk engineers that have no database knowledge. No matter who is debugging an issue, every resource is familiar with the environment. <o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-indent: .5in;">
<b style="mso-bidi-font-weight: normal;">Encourage and promote proactive support. </b>If a problem happened once in a single database, and you have a standardized ecosystem, then it is extremely likely that same problem will happen again in a different database. Proactively preventing problems from recurring in the rest of the enterprise is where I want my team to spend most of their time.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-indent: .5in;">
<b style="mso-bidi-font-weight: normal;">Communication. </b>Having consistent and recurrent communication with the application support team is priceless. They are often challenged to make changes in order to meet the demands of the business, and we have avoided numerous incidents that would have created extended downtimes by having open communication and helping build the vision of what is to come in their world.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-indent: .5in;">
<b style="mso-bidi-font-weight: normal;">Keep up with innovation.</b> Although we can’t afford to patch every quarter, we ensure that every time we perform a database upgrade we apply the latest and greatest patches. While it’s important to take advantage of the latest technology available, you want to be on the leading edge, not the bleeding edge. It’s important to have access to and understand the latest-and-greatest technology, but you don’t want the risk and downtime associated with becoming the debugging guinea pig.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-indent: .5in;">
<b style="mso-bidi-font-weight: normal;">Take ownership.</b> We are often challenged with having to solve issues related to MS Access databases. These databases are usually created by smart business users as a necessary workaround to accommodate software limitations. However, when that smart user is no longer with the company, suddenly no one knows how to maintain a system that is vital to the business operation, and often times no one knows the database exists until it breaks. Needless to say, it is a very bad idea to create this kind of dependency outside IT. Work with the business units, and provide tools that are under IT governance which allow them to have the freedom to customize their own reports and create basic applications. If you don’t take ownership of this problem, then you can expect a proliferation of Excel sheets and decentralized unsupported information systems, which will turn into an information security and support nightmare. <o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal" style="text-indent: .5in;">
<b style="mso-bidi-font-weight: normal;">Attempt to reduce the technical gap. </b>Nowadays it is impossible to be an expert in every new technology. While it is true that database systems are becoming smarter, it is also true that additional features require additional skills, and the traditional role of the Database Administrator has evolved. A lot more is expected from a DBA today compared to 10 years ago. Having a small team precludes any possibility of having technical redundancy, so cross-training is essential. One way to do this is through periodic lunch-and-learn meetings and a training-of-trainers model (ToT). This often lifts the morale of participants, promotes teamwork, and works well if you have a scarce (or non-existent) training budget. <o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
<br /></div>
<div class="MsoNormal">
The list above is just a compilation of what has worked for us, and since every situation is unique they may not work for you. When faced with a challenge, keep in mind that unconventional situations likely can’t be resolved with conventional solutions. It requires thinking outside the box.<o:p></o:p></div>
<div class="MsoNormal">
<br /></div>
<!--[if gte mso 9]><xml>
<w:WordDocument>
<w:View>Normal</w:View>
<w:Zoom>0</w:Zoom>
<w:TrackMoves/>
<w:TrackFormatting/>
<w:PunctuationKerning/>
<w:ValidateAgainstSchemas/>
<w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid>
<w:IgnoreMixedContent>false</w:IgnoreMixedContent>
<w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText>
<w:DoNotPromoteQF/>
<w:LidThemeOther>EN-US</w:LidThemeOther>
<w:LidThemeAsian>X-NONE</w:LidThemeAsian>
<w:LidThemeComplexScript>X-NONE</w:LidThemeComplexScript>
<w:Compatibility>
<w:BreakWrappedTables/>
<w:SnapToGridInCell/>
<w:WrapTextWithPunct/>
<w:UseAsianBreakRules/>
<w:DontGrowAutofit/>
<w:SplitPgBreakAndParaMark/>
<w:EnableOpenTypeKerning/>
<w:DontFlipMirrorIndents/>
<w:OverrideTableStyleHps/>
</w:Compatibility>
<w:DoNotOptimizeForBrowser/>
<m:mathPr>
<m:mathFont m:val="Cambria Math"/>
<m:brkBin m:val="before"/>
<m:brkBinSub m:val="--"/>
<m:smallFrac m:val="off"/>
<m:dispDef/>
<m:lMargin m:val="0"/>
<m:rMargin m:val="0"/>
<m:defJc m:val="centerGroup"/>
<m:wrapIndent m:val="1440"/>
<m:intLim m:val="subSup"/>
<m:naryLim m:val="undOvr"/>
</m:mathPr></w:WordDocument>
</xml><![endif]--><!--[if gte mso 9]><xml>
<w:LatentStyles DefLockedState="false" DefUnhideWhenUsed="false"
DefSemiHidden="false" DefQFormat="false" DefPriority="99"
LatentStyleCount="375">
<w:LsdException Locked="false" Priority="0" QFormat="true" Name="Normal"/>
<w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 1"/>
<w:LsdException Locked="false" Priority="9" SemiHidden="true"
UnhideWhenUsed="true" QFormat="true" Name="heading 2"/>
<w:LsdException Locked="false" Priority="9" SemiHidden="true"
UnhideWhenUsed="true" QFormat="true" Name="heading 3"/>
<w:LsdException Locked="false" Priority="9" SemiHidden="true"
UnhideWhenUsed="true" QFormat="true" Name="heading 4"/>
<w:LsdException Locked="false" Priority="9" SemiHidden="true"
UnhideWhenUsed="true" QFormat="true" Name="heading 5"/>
<w:LsdException Locked="false" Priority="9" SemiHidden="true"
UnhideWhenUsed="true" QFormat="true" Name="heading 6"/>
<w:LsdException Locked="false" Priority="9" SemiHidden="true"
UnhideWhenUsed="true" QFormat="true" Name="heading 7"/>
<w:LsdException Locked="false" Priority="9" SemiHidden="true"
UnhideWhenUsed="true" QFormat="true" Name="heading 8"/>
<w:LsdException Locked="false" Priority="9" SemiHidden="true"
UnhideWhenUsed="true" QFormat="true" Name="heading 9"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="index 1"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="index 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="index 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="index 4"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="index 5"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="index 6"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="index 7"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="index 8"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="index 9"/>
<w:LsdException Locked="false" Priority="39" SemiHidden="true"
UnhideWhenUsed="true" Name="toc 1"/>
<w:LsdException Locked="false" Priority="39" SemiHidden="true"
UnhideWhenUsed="true" Name="toc 2"/>
<w:LsdException Locked="false" Priority="39" SemiHidden="true"
UnhideWhenUsed="true" Name="toc 3"/>
<w:LsdException Locked="false" Priority="39" SemiHidden="true"
UnhideWhenUsed="true" Name="toc 4"/>
<w:LsdException Locked="false" Priority="39" SemiHidden="true"
UnhideWhenUsed="true" Name="toc 5"/>
<w:LsdException Locked="false" Priority="39" SemiHidden="true"
UnhideWhenUsed="true" Name="toc 6"/>
<w:LsdException Locked="false" Priority="39" SemiHidden="true"
UnhideWhenUsed="true" Name="toc 7"/>
<w:LsdException Locked="false" Priority="39" SemiHidden="true"
UnhideWhenUsed="true" Name="toc 8"/>
<w:LsdException Locked="false" Priority="39" SemiHidden="true"
UnhideWhenUsed="true" Name="toc 9"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Normal Indent"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="footnote text"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="annotation text"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="header"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="footer"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="index heading"/>
<w:LsdException Locked="false" Priority="35" SemiHidden="true"
UnhideWhenUsed="true" QFormat="true" Name="caption"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="table of figures"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="envelope address"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="envelope return"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="footnote reference"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="annotation reference"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="line number"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="page number"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="endnote reference"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="endnote text"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="table of authorities"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="macro"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="toa heading"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Bullet"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Number"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List 4"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List 5"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Bullet 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Bullet 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Bullet 4"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Bullet 5"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Number 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Number 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Number 4"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Number 5"/>
<w:LsdException Locked="false" Priority="10" QFormat="true" Name="Title"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Closing"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Signature"/>
<w:LsdException Locked="false" Priority="1" SemiHidden="true"
UnhideWhenUsed="true" Name="Default Paragraph Font"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Body Text"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Body Text Indent"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Continue"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Continue 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Continue 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Continue 4"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="List Continue 5"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Message Header"/>
<w:LsdException Locked="false" Priority="11" QFormat="true" Name="Subtitle"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Salutation"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Date"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Body Text First Indent"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Body Text First Indent 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Note Heading"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Body Text 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Body Text 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Body Text Indent 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Body Text Indent 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Block Text"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Hyperlink"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="FollowedHyperlink"/>
<w:LsdException Locked="false" Priority="22" QFormat="true" Name="Strong"/>
<w:LsdException Locked="false" Priority="20" QFormat="true" Name="Emphasis"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Document Map"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Plain Text"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="E-mail Signature"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Top of Form"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Bottom of Form"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Normal (Web)"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Acronym"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Address"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Cite"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Code"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Definition"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Keyboard"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Preformatted"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Sample"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Typewriter"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="HTML Variable"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Normal Table"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="annotation subject"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="No List"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Outline List 1"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Outline List 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Outline List 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Simple 1"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Simple 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Simple 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Classic 1"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Classic 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Classic 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Classic 4"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Colorful 1"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Colorful 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Colorful 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Columns 1"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Columns 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Columns 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Columns 4"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Columns 5"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Grid 1"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Grid 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Grid 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Grid 4"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Grid 5"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Grid 6"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Grid 7"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Grid 8"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table List 1"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table List 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table List 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table List 4"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table List 5"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table List 6"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table List 7"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table List 8"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table 3D effects 1"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table 3D effects 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table 3D effects 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Contemporary"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Elegant"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Professional"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Subtle 1"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Subtle 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Web 1"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Web 2"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Web 3"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Balloon Text"/>
<w:LsdException Locked="false" Priority="39" Name="Table Grid"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Table Theme"/>
<w:LsdException Locked="false" SemiHidden="true" Name="Placeholder Text"/>
<w:LsdException Locked="false" Priority="1" QFormat="true" Name="No Spacing"/>
<w:LsdException Locked="false" Priority="60" Name="Light Shading"/>
<w:LsdException Locked="false" Priority="61" Name="Light List"/>
<w:LsdException Locked="false" Priority="62" Name="Light Grid"/>
<w:LsdException Locked="false" Priority="63" Name="Medium Shading 1"/>
<w:LsdException Locked="false" Priority="64" Name="Medium Shading 2"/>
<w:LsdException Locked="false" Priority="65" Name="Medium List 1"/>
<w:LsdException Locked="false" Priority="66" Name="Medium List 2"/>
<w:LsdException Locked="false" Priority="67" Name="Medium Grid 1"/>
<w:LsdException Locked="false" Priority="68" Name="Medium Grid 2"/>
<w:LsdException Locked="false" Priority="69" Name="Medium Grid 3"/>
<w:LsdException Locked="false" Priority="70" Name="Dark List"/>
<w:LsdException Locked="false" Priority="71" Name="Colorful Shading"/>
<w:LsdException Locked="false" Priority="72" Name="Colorful List"/>
<w:LsdException Locked="false" Priority="73" Name="Colorful Grid"/>
<w:LsdException Locked="false" Priority="60" Name="Light Shading Accent 1"/>
<w:LsdException Locked="false" Priority="61" Name="Light List Accent 1"/>
<w:LsdException Locked="false" Priority="62" Name="Light Grid Accent 1"/>
<w:LsdException Locked="false" Priority="63" Name="Medium Shading 1 Accent 1"/>
<w:LsdException Locked="false" Priority="64" Name="Medium Shading 2 Accent 1"/>
<w:LsdException Locked="false" Priority="65" Name="Medium List 1 Accent 1"/>
<w:LsdException Locked="false" SemiHidden="true" Name="Revision"/>
<w:LsdException Locked="false" Priority="34" QFormat="true"
Name="List Paragraph"/>
<w:LsdException Locked="false" Priority="29" QFormat="true" Name="Quote"/>
<w:LsdException Locked="false" Priority="30" QFormat="true"
Name="Intense Quote"/>
<w:LsdException Locked="false" Priority="66" Name="Medium List 2 Accent 1"/>
<w:LsdException Locked="false" Priority="67" Name="Medium Grid 1 Accent 1"/>
<w:LsdException Locked="false" Priority="68" Name="Medium Grid 2 Accent 1"/>
<w:LsdException Locked="false" Priority="69" Name="Medium Grid 3 Accent 1"/>
<w:LsdException Locked="false" Priority="70" Name="Dark List Accent 1"/>
<w:LsdException Locked="false" Priority="71" Name="Colorful Shading Accent 1"/>
<w:LsdException Locked="false" Priority="72" Name="Colorful List Accent 1"/>
<w:LsdException Locked="false" Priority="73" Name="Colorful Grid Accent 1"/>
<w:LsdException Locked="false" Priority="60" Name="Light Shading Accent 2"/>
<w:LsdException Locked="false" Priority="61" Name="Light List Accent 2"/>
<w:LsdException Locked="false" Priority="62" Name="Light Grid Accent 2"/>
<w:LsdException Locked="false" Priority="63" Name="Medium Shading 1 Accent 2"/>
<w:LsdException Locked="false" Priority="64" Name="Medium Shading 2 Accent 2"/>
<w:LsdException Locked="false" Priority="65" Name="Medium List 1 Accent 2"/>
<w:LsdException Locked="false" Priority="66" Name="Medium List 2 Accent 2"/>
<w:LsdException Locked="false" Priority="67" Name="Medium Grid 1 Accent 2"/>
<w:LsdException Locked="false" Priority="68" Name="Medium Grid 2 Accent 2"/>
<w:LsdException Locked="false" Priority="69" Name="Medium Grid 3 Accent 2"/>
<w:LsdException Locked="false" Priority="70" Name="Dark List Accent 2"/>
<w:LsdException Locked="false" Priority="71" Name="Colorful Shading Accent 2"/>
<w:LsdException Locked="false" Priority="72" Name="Colorful List Accent 2"/>
<w:LsdException Locked="false" Priority="73" Name="Colorful Grid Accent 2"/>
<w:LsdException Locked="false" Priority="60" Name="Light Shading Accent 3"/>
<w:LsdException Locked="false" Priority="61" Name="Light List Accent 3"/>
<w:LsdException Locked="false" Priority="62" Name="Light Grid Accent 3"/>
<w:LsdException Locked="false" Priority="63" Name="Medium Shading 1 Accent 3"/>
<w:LsdException Locked="false" Priority="64" Name="Medium Shading 2 Accent 3"/>
<w:LsdException Locked="false" Priority="65" Name="Medium List 1 Accent 3"/>
<w:LsdException Locked="false" Priority="66" Name="Medium List 2 Accent 3"/>
<w:LsdException Locked="false" Priority="67" Name="Medium Grid 1 Accent 3"/>
<w:LsdException Locked="false" Priority="68" Name="Medium Grid 2 Accent 3"/>
<w:LsdException Locked="false" Priority="69" Name="Medium Grid 3 Accent 3"/>
<w:LsdException Locked="false" Priority="70" Name="Dark List Accent 3"/>
<w:LsdException Locked="false" Priority="71" Name="Colorful Shading Accent 3"/>
<w:LsdException Locked="false" Priority="72" Name="Colorful List Accent 3"/>
<w:LsdException Locked="false" Priority="73" Name="Colorful Grid Accent 3"/>
<w:LsdException Locked="false" Priority="60" Name="Light Shading Accent 4"/>
<w:LsdException Locked="false" Priority="61" Name="Light List Accent 4"/>
<w:LsdException Locked="false" Priority="62" Name="Light Grid Accent 4"/>
<w:LsdException Locked="false" Priority="63" Name="Medium Shading 1 Accent 4"/>
<w:LsdException Locked="false" Priority="64" Name="Medium Shading 2 Accent 4"/>
<w:LsdException Locked="false" Priority="65" Name="Medium List 1 Accent 4"/>
<w:LsdException Locked="false" Priority="66" Name="Medium List 2 Accent 4"/>
<w:LsdException Locked="false" Priority="67" Name="Medium Grid 1 Accent 4"/>
<w:LsdException Locked="false" Priority="68" Name="Medium Grid 2 Accent 4"/>
<w:LsdException Locked="false" Priority="69" Name="Medium Grid 3 Accent 4"/>
<w:LsdException Locked="false" Priority="70" Name="Dark List Accent 4"/>
<w:LsdException Locked="false" Priority="71" Name="Colorful Shading Accent 4"/>
<w:LsdException Locked="false" Priority="72" Name="Colorful List Accent 4"/>
<w:LsdException Locked="false" Priority="73" Name="Colorful Grid Accent 4"/>
<w:LsdException Locked="false" Priority="60" Name="Light Shading Accent 5"/>
<w:LsdException Locked="false" Priority="61" Name="Light List Accent 5"/>
<w:LsdException Locked="false" Priority="62" Name="Light Grid Accent 5"/>
<w:LsdException Locked="false" Priority="63" Name="Medium Shading 1 Accent 5"/>
<w:LsdException Locked="false" Priority="64" Name="Medium Shading 2 Accent 5"/>
<w:LsdException Locked="false" Priority="65" Name="Medium List 1 Accent 5"/>
<w:LsdException Locked="false" Priority="66" Name="Medium List 2 Accent 5"/>
<w:LsdException Locked="false" Priority="67" Name="Medium Grid 1 Accent 5"/>
<w:LsdException Locked="false" Priority="68" Name="Medium Grid 2 Accent 5"/>
<w:LsdException Locked="false" Priority="69" Name="Medium Grid 3 Accent 5"/>
<w:LsdException Locked="false" Priority="70" Name="Dark List Accent 5"/>
<w:LsdException Locked="false" Priority="71" Name="Colorful Shading Accent 5"/>
<w:LsdException Locked="false" Priority="72" Name="Colorful List Accent 5"/>
<w:LsdException Locked="false" Priority="73" Name="Colorful Grid Accent 5"/>
<w:LsdException Locked="false" Priority="60" Name="Light Shading Accent 6"/>
<w:LsdException Locked="false" Priority="61" Name="Light List Accent 6"/>
<w:LsdException Locked="false" Priority="62" Name="Light Grid Accent 6"/>
<w:LsdException Locked="false" Priority="63" Name="Medium Shading 1 Accent 6"/>
<w:LsdException Locked="false" Priority="64" Name="Medium Shading 2 Accent 6"/>
<w:LsdException Locked="false" Priority="65" Name="Medium List 1 Accent 6"/>
<w:LsdException Locked="false" Priority="66" Name="Medium List 2 Accent 6"/>
<w:LsdException Locked="false" Priority="67" Name="Medium Grid 1 Accent 6"/>
<w:LsdException Locked="false" Priority="68" Name="Medium Grid 2 Accent 6"/>
<w:LsdException Locked="false" Priority="69" Name="Medium Grid 3 Accent 6"/>
<w:LsdException Locked="false" Priority="70" Name="Dark List Accent 6"/>
<w:LsdException Locked="false" Priority="71" Name="Colorful Shading Accent 6"/>
<w:LsdException Locked="false" Priority="72" Name="Colorful List Accent 6"/>
<w:LsdException Locked="false" Priority="73" Name="Colorful Grid Accent 6"/>
<w:LsdException Locked="false" Priority="19" QFormat="true"
Name="Subtle Emphasis"/>
<w:LsdException Locked="false" Priority="21" QFormat="true"
Name="Intense Emphasis"/>
<w:LsdException Locked="false" Priority="31" QFormat="true"
Name="Subtle Reference"/>
<w:LsdException Locked="false" Priority="32" QFormat="true"
Name="Intense Reference"/>
<w:LsdException Locked="false" Priority="33" QFormat="true" Name="Book Title"/>
<w:LsdException Locked="false" Priority="37" SemiHidden="true"
UnhideWhenUsed="true" Name="Bibliography"/>
<w:LsdException Locked="false" Priority="39" SemiHidden="true"
UnhideWhenUsed="true" QFormat="true" Name="TOC Heading"/>
<w:LsdException Locked="false" Priority="41" Name="Plain Table 1"/>
<w:LsdException Locked="false" Priority="42" Name="Plain Table 2"/>
<w:LsdException Locked="false" Priority="43" Name="Plain Table 3"/>
<w:LsdException Locked="false" Priority="44" Name="Plain Table 4"/>
<w:LsdException Locked="false" Priority="45" Name="Plain Table 5"/>
<w:LsdException Locked="false" Priority="40" Name="Grid Table Light"/>
<w:LsdException Locked="false" Priority="46" Name="Grid Table 1 Light"/>
<w:LsdException Locked="false" Priority="47" Name="Grid Table 2"/>
<w:LsdException Locked="false" Priority="48" Name="Grid Table 3"/>
<w:LsdException Locked="false" Priority="49" Name="Grid Table 4"/>
<w:LsdException Locked="false" Priority="50" Name="Grid Table 5 Dark"/>
<w:LsdException Locked="false" Priority="51" Name="Grid Table 6 Colorful"/>
<w:LsdException Locked="false" Priority="52" Name="Grid Table 7 Colorful"/>
<w:LsdException Locked="false" Priority="46"
Name="Grid Table 1 Light Accent 1"/>
<w:LsdException Locked="false" Priority="47" Name="Grid Table 2 Accent 1"/>
<w:LsdException Locked="false" Priority="48" Name="Grid Table 3 Accent 1"/>
<w:LsdException Locked="false" Priority="49" Name="Grid Table 4 Accent 1"/>
<w:LsdException Locked="false" Priority="50" Name="Grid Table 5 Dark Accent 1"/>
<w:LsdException Locked="false" Priority="51"
Name="Grid Table 6 Colorful Accent 1"/>
<w:LsdException Locked="false" Priority="52"
Name="Grid Table 7 Colorful Accent 1"/>
<w:LsdException Locked="false" Priority="46"
Name="Grid Table 1 Light Accent 2"/>
<w:LsdException Locked="false" Priority="47" Name="Grid Table 2 Accent 2"/>
<w:LsdException Locked="false" Priority="48" Name="Grid Table 3 Accent 2"/>
<w:LsdException Locked="false" Priority="49" Name="Grid Table 4 Accent 2"/>
<w:LsdException Locked="false" Priority="50" Name="Grid Table 5 Dark Accent 2"/>
<w:LsdException Locked="false" Priority="51"
Name="Grid Table 6 Colorful Accent 2"/>
<w:LsdException Locked="false" Priority="52"
Name="Grid Table 7 Colorful Accent 2"/>
<w:LsdException Locked="false" Priority="46"
Name="Grid Table 1 Light Accent 3"/>
<w:LsdException Locked="false" Priority="47" Name="Grid Table 2 Accent 3"/>
<w:LsdException Locked="false" Priority="48" Name="Grid Table 3 Accent 3"/>
<w:LsdException Locked="false" Priority="49" Name="Grid Table 4 Accent 3"/>
<w:LsdException Locked="false" Priority="50" Name="Grid Table 5 Dark Accent 3"/>
<w:LsdException Locked="false" Priority="51"
Name="Grid Table 6 Colorful Accent 3"/>
<w:LsdException Locked="false" Priority="52"
Name="Grid Table 7 Colorful Accent 3"/>
<w:LsdException Locked="false" Priority="46"
Name="Grid Table 1 Light Accent 4"/>
<w:LsdException Locked="false" Priority="47" Name="Grid Table 2 Accent 4"/>
<w:LsdException Locked="false" Priority="48" Name="Grid Table 3 Accent 4"/>
<w:LsdException Locked="false" Priority="49" Name="Grid Table 4 Accent 4"/>
<w:LsdException Locked="false" Priority="50" Name="Grid Table 5 Dark Accent 4"/>
<w:LsdException Locked="false" Priority="51"
Name="Grid Table 6 Colorful Accent 4"/>
<w:LsdException Locked="false" Priority="52"
Name="Grid Table 7 Colorful Accent 4"/>
<w:LsdException Locked="false" Priority="46"
Name="Grid Table 1 Light Accent 5"/>
<w:LsdException Locked="false" Priority="47" Name="Grid Table 2 Accent 5"/>
<w:LsdException Locked="false" Priority="48" Name="Grid Table 3 Accent 5"/>
<w:LsdException Locked="false" Priority="49" Name="Grid Table 4 Accent 5"/>
<w:LsdException Locked="false" Priority="50" Name="Grid Table 5 Dark Accent 5"/>
<w:LsdException Locked="false" Priority="51"
Name="Grid Table 6 Colorful Accent 5"/>
<w:LsdException Locked="false" Priority="52"
Name="Grid Table 7 Colorful Accent 5"/>
<w:LsdException Locked="false" Priority="46"
Name="Grid Table 1 Light Accent 6"/>
<w:LsdException Locked="false" Priority="47" Name="Grid Table 2 Accent 6"/>
<w:LsdException Locked="false" Priority="48" Name="Grid Table 3 Accent 6"/>
<w:LsdException Locked="false" Priority="49" Name="Grid Table 4 Accent 6"/>
<w:LsdException Locked="false" Priority="50" Name="Grid Table 5 Dark Accent 6"/>
<w:LsdException Locked="false" Priority="51"
Name="Grid Table 6 Colorful Accent 6"/>
<w:LsdException Locked="false" Priority="52"
Name="Grid Table 7 Colorful Accent 6"/>
<w:LsdException Locked="false" Priority="46" Name="List Table 1 Light"/>
<w:LsdException Locked="false" Priority="47" Name="List Table 2"/>
<w:LsdException Locked="false" Priority="48" Name="List Table 3"/>
<w:LsdException Locked="false" Priority="49" Name="List Table 4"/>
<w:LsdException Locked="false" Priority="50" Name="List Table 5 Dark"/>
<w:LsdException Locked="false" Priority="51" Name="List Table 6 Colorful"/>
<w:LsdException Locked="false" Priority="52" Name="List Table 7 Colorful"/>
<w:LsdException Locked="false" Priority="46"
Name="List Table 1 Light Accent 1"/>
<w:LsdException Locked="false" Priority="47" Name="List Table 2 Accent 1"/>
<w:LsdException Locked="false" Priority="48" Name="List Table 3 Accent 1"/>
<w:LsdException Locked="false" Priority="49" Name="List Table 4 Accent 1"/>
<w:LsdException Locked="false" Priority="50" Name="List Table 5 Dark Accent 1"/>
<w:LsdException Locked="false" Priority="51"
Name="List Table 6 Colorful Accent 1"/>
<w:LsdException Locked="false" Priority="52"
Name="List Table 7 Colorful Accent 1"/>
<w:LsdException Locked="false" Priority="46"
Name="List Table 1 Light Accent 2"/>
<w:LsdException Locked="false" Priority="47" Name="List Table 2 Accent 2"/>
<w:LsdException Locked="false" Priority="48" Name="List Table 3 Accent 2"/>
<w:LsdException Locked="false" Priority="49" Name="List Table 4 Accent 2"/>
<w:LsdException Locked="false" Priority="50" Name="List Table 5 Dark Accent 2"/>
<w:LsdException Locked="false" Priority="51"
Name="List Table 6 Colorful Accent 2"/>
<w:LsdException Locked="false" Priority="52"
Name="List Table 7 Colorful Accent 2"/>
<w:LsdException Locked="false" Priority="46"
Name="List Table 1 Light Accent 3"/>
<w:LsdException Locked="false" Priority="47" Name="List Table 2 Accent 3"/>
<w:LsdException Locked="false" Priority="48" Name="List Table 3 Accent 3"/>
<w:LsdException Locked="false" Priority="49" Name="List Table 4 Accent 3"/>
<w:LsdException Locked="false" Priority="50" Name="List Table 5 Dark Accent 3"/>
<w:LsdException Locked="false" Priority="51"
Name="List Table 6 Colorful Accent 3"/>
<w:LsdException Locked="false" Priority="52"
Name="List Table 7 Colorful Accent 3"/>
<w:LsdException Locked="false" Priority="46"
Name="List Table 1 Light Accent 4"/>
<w:LsdException Locked="false" Priority="47" Name="List Table 2 Accent 4"/>
<w:LsdException Locked="false" Priority="48" Name="List Table 3 Accent 4"/>
<w:LsdException Locked="false" Priority="49" Name="List Table 4 Accent 4"/>
<w:LsdException Locked="false" Priority="50" Name="List Table 5 Dark Accent 4"/>
<w:LsdException Locked="false" Priority="51"
Name="List Table 6 Colorful Accent 4"/>
<w:LsdException Locked="false" Priority="52"
Name="List Table 7 Colorful Accent 4"/>
<w:LsdException Locked="false" Priority="46"
Name="List Table 1 Light Accent 5"/>
<w:LsdException Locked="false" Priority="47" Name="List Table 2 Accent 5"/>
<w:LsdException Locked="false" Priority="48" Name="List Table 3 Accent 5"/>
<w:LsdException Locked="false" Priority="49" Name="List Table 4 Accent 5"/>
<w:LsdException Locked="false" Priority="50" Name="List Table 5 Dark Accent 5"/>
<w:LsdException Locked="false" Priority="51"
Name="List Table 6 Colorful Accent 5"/>
<w:LsdException Locked="false" Priority="52"
Name="List Table 7 Colorful Accent 5"/>
<w:LsdException Locked="false" Priority="46"
Name="List Table 1 Light Accent 6"/>
<w:LsdException Locked="false" Priority="47" Name="List Table 2 Accent 6"/>
<w:LsdException Locked="false" Priority="48" Name="List Table 3 Accent 6"/>
<w:LsdException Locked="false" Priority="49" Name="List Table 4 Accent 6"/>
<w:LsdException Locked="false" Priority="50" Name="List Table 5 Dark Accent 6"/>
<w:LsdException Locked="false" Priority="51"
Name="List Table 6 Colorful Accent 6"/>
<w:LsdException Locked="false" Priority="52"
Name="List Table 7 Colorful Accent 6"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Mention"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Smart Hyperlink"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Hashtag"/>
<w:LsdException Locked="false" SemiHidden="true" UnhideWhenUsed="true"
Name="Unresolved Mention"/>
</w:LatentStyles>
</xml><![endif]--> <style> <!-- /* Font Definitions */ @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:3 0 0 0 1 0;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-parent:""; margin:0in; margin-bottom:.0001pt; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial",sans-serif; mso-fareast-font-family:Arial;} .MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-size:11.0pt; mso-ansi-font-size:11.0pt; mso-bidi-font-size:11.0pt; font-family:"Arial",sans-serif; mso-ascii-font-family:Arial; mso-fareast-font-family:Arial; mso-hansi-font-family:Arial; mso-bidi-font-family:Arial;} .MsoPapDefault {mso-style-type:export-only; line-height:115%;} @page WordSection1 {size:595.45pt 841.7pt; margin:1.0in 1.0in 1.0in 1.0in; mso-header-margin:0in; mso-footer-margin:.5in; mso-page-numbers:1; mso-paper-source:0;} div.WordSection1 {page:WordSection1;} --> </style> <!--[if gte mso 10]>
<style>
/* Style Definitions */
table.MsoNormalTable
{mso-style-name:"Table Normal";
mso-tstyle-rowband-size:0;
mso-tstyle-colband-size:0;
mso-style-noshow:yes;
mso-style-priority:99;
mso-style-parent:"";
mso-padding-alt:0in 5.4pt 0in 5.4pt;
mso-para-margin:0in;
mso-para-margin-bottom:.0001pt;
line-height:115%;
mso-pagination:widow-orphan;
font-size:11.0pt;
font-family:"Arial",sans-serif;}
</style>
<![endif]--> <!--StartFragment--> <!--EndFragment--><br />
<div class="MsoNormal">
Rafael Orta<o:p></o:p></div>
OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-34735667335892341092017-08-16T15:11:00.003-04:002017-08-16T15:11:42.824-04:00-- Some Teradata SQLs for newbies --<span style="font-family: "verdana" , sans-serif;">As I am learning Teradata Database Administration, I thought about sharing some of the SQLs that I found useful for the day to day operation. I will be adding to this list.</span><br />
<span style="font-family: "verdana" , sans-serif;"><br /></span>
<br />
<div 13px="" arial="" color:="" egoe="" font-family:="" font-size:="" helvetica="" quot="" sans-serif="" segoe="" tahoma="" ui="">
<strong><span style="color: red; font-family: "verdana" , sans-serif;">How to check if a user is locked</span></strong></div>
<div 13px="" arial="" color:="" egoe="" font-family:="" font-size:="" helvetica="" quot="" sans-serif="" segoe="" tahoma="" ui="">
<strong><span style="font-family: "verdana" , sans-serif;"><br /></span></strong></div>
<div 13px="" arial="" color:="" egoe="" font-family:="" font-size:="" helvetica="" quot="" sans-serif="" segoe="" tahoma="" ui="">
<span style="font-family: "verdana" , sans-serif;">You connect to the database as sysdba, dbc won't have the privileges required.</span></div>
<div 13px="" arial="" color:="" egoe="" font-family:="" font-size:="" helvetica="" quot="" sans-serif="" segoe="" tahoma="" ui="">
<span style="font-family: "verdana" , sans-serif;"><br /></span></div>
<div 13px="" arial="" color:="" egoe="" font-family:="" font-size:="" helvetica="" quot="" sans-serif="" segoe="" tahoma="" ui="">
<span style="font-family: "verdana" , sans-serif;">Execute from Teradata SQL Assistant</span></div>
<div 13px="" arial="" color:="" egoe="" font-family:="" font-size:="" helvetica="" quot="" sans-serif="" segoe="" tahoma="" ui="">
<span style="color: red; font-family: "verdana" , sans-serif;"><br /></span></div>
<div 13px="" arial="" color:="" egoe="" font-family:="" font-size:="" helvetica="" quot="" sans-serif="" segoe="" tahoma="" ui="">
<span style="font-size: x-small;"><b><span style="color: lime; font-family: "verdana" , sans-serif;"><span style="color: lime;"><span style="font-weight: bold;">SELECT</span><span style="color: black;"> </span><span style="color: grey;">*</span><span style="color: black;"> </span><span style="font-weight: bold;">FROM</span><span style="color: black;"> </span>.</span>USERS </span><span style="color: lime; font-family: verdana, sans-serif;">WHERE</span><span style="color: black; font-family: verdana, sans-serif;"> </span><span style="color: lime; font-family: verdana, sans-serif;">lockedCount1</span><span style="color: lime; font-family: verdana, sans-serif;">;</span><span bold="" font-weight:="" style="font-family: "verdana" , sans-serif;"> </span></b></span><br />
<br />
<span bold="" font-weight:="" style="color: red; font-family: "verdana" , sans-serif;"><b>If there is a locked user, you can unlock it using the following command</b></span><br />
<span style="font-size: x-small;"><span style="font-family: verdana, sans-serif;"><br /></span><span style="font-family: Verdana, sans-serif;"><b><span style="color: lime; font-family: Verdana, sans-serif;"><span style="font-weight: bold;">modify</span><span style="color: black;"> </span><span style="font-weight: bold;">USER</span><span style="color: black;"> </span>"tariqn"</span><span style="color: black;"> </span><span style="color: lime;"><span style="font-weight: bold;">as</span> <span style="font-weight: bold;">release</span><span style="color: black;"> </span><span style="font-weight: bold;">password</span> <span style="font-weight: bold;">lock</span><span style="font-weight: bold;">;</span><span style="color: red; font-family: Verdana, sans-serif; font-weight: bold;"> </span></span></b></span></span><br />
<span style="color: lime; font-family: verdana, sans-serif;"><b><br /></b></span><span style="font-family: "verdana" , sans-serif;">where tariqn is the name of the account that you are attempting to unlock.</span><br />
<span style="font-family: "verdana" , sans-serif;"><b><br /></b></span>
<span style="color: red; font-family: "verdana" , sans-serif;"><b>How to modify your password</b></span><br />
<span style="font-family: verdana, sans-serif;"><br /></span>
<span style="color: lime; font-family: Verdana, sans-serif; font-size: x-small;"><b>MODIFY USER "USERNAME" AS PASSWORD = "ParsiPPany12!";</b></span><br />
<br />
<span style="color: red;"><span style="font-family: verdana, sans-serif;"><br /></span><span style="font-family: "verdana" , sans-serif;"><strong 13px="" arial="" color:="" egoe="" font-family:="" font-size:="" helvetica="" quot="" sans-serif="" segoe="" tahoma="" ui="">How to assign a temporary password to a user and prompt the user to enter a new password.</strong></span></span><br />
<br />
<span style="color: lime; font-family: Verdana, sans-serif; font-size: x-small;"><b>MODIFY USER ORTAR as password=******** FOR USER;</b></span></div>
OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-43003951896130080912016-08-18T17:23:00.000-04:002016-08-18T17:23:09.372-04:00-- Do not forget about the Database recycle bin --Hello Everybody<br />
<br />
Just a quick post reminder to keep in mind that starting on Oracle 10g when you drop objects they still recide in your recycle bin. So if you wonder why after dropping all those tables you do not see the space back, you got your answer. This is specially important if you have some DW like environment where you drop and recreate tables every day part of your ETL.<br />
<br />
Every schema in the database has its own recyclebin, if you want to know what is the content of the entire database recycle bin you can do this query.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQ3Cr7qbKLpUth8CZnukRB-34UyGZMo-kOSXlo10mZlAdiQIHNJz5T5uFe4mcmMvQbSc49-nQyMH7qqxlWUZ5lqMKBxNkXT9Y8m1Yvhkz95vzjULys9aGdGTZN3U5dOI-XNjB60VPlyA/s1600/Screen+Shot+2016-08-18+at+4.24.47+PM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="25" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjQ3Cr7qbKLpUth8CZnukRB-34UyGZMo-kOSXlo10mZlAdiQIHNJz5T5uFe4mcmMvQbSc49-nQyMH7qqxlWUZ5lqMKBxNkXT9Y8m1Yvhkz95vzjULys9aGdGTZN3U5dOI-XNjB60VPlyA/s400/Screen+Shot+2016-08-18+at+4.24.47+PM.png" width="400" /></a></div>
<div class="separator" style="clear: both; text-align: center;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
If you only want to query your schema recycle bin then you execute the following.</div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh-x7M47FaQE69caPS975nSv-7Al92b8t9sYQnZ-iL7sD_fcil8RK40utxWxq4cpZPXU0h8cbmqD8H1UUaRG4V4237_EWNr6l2PreaGrUrktWc93rh6ugYgU1lcB19FDWrQCnVcW21hrw/s1600/Screen+Shot+2016-08-18+at+4.27.13+PM.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="21" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh-x7M47FaQE69caPS975nSv-7Al92b8t9sYQnZ-iL7sD_fcil8RK40utxWxq4cpZPXU0h8cbmqD8H1UUaRG4V4237_EWNr6l2PreaGrUrktWc93rh6ugYgU1lcB19FDWrQCnVcW21hrw/s400/Screen+Shot+2016-08-18+at+4.27.13+PM.png" width="400" /></a></div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
In order to be able to purge an object from the recycle bin you need to either own the object or you need to have the "drop any" system privilege assigned to you. </div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
If you want to purge objects in the recyclebin for the entire database, you need to have the sysdba privilege, be connected as sysdba and execute the following.</div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
<span style="font-family: Arial, Helvetica, sans-serif; font-size: x-small;">SQL> purge dba_recyclebin;</span></div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
If you want to purge your own recycle bin you do the following.</div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
<span style="font-family: Arial, Helvetica, sans-serif; font-size: x-small;">SQL> purge recyclebin;</span></div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
If you want to purge objects in the recycle bin stored in an specific tablespace you execute the following:</div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
<span style="font-family: Arial, Helvetica, sans-serif; font-size: x-small;">SQL> purge tablespace <tablespace_name>;</tablespace_name></span></div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
If you want to be more specific and purge objects in a specific tablespace for a specific user you execute the following.</div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
<span style="font-family: Arial, Helvetica, sans-serif; font-size: x-small;">SQL> purge tablespace <tablespace_name> user <username>;</username></tablespace_name></span></div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
Last but no least if you want to purge the recycle bin for a table you own and you just dropped you execute the following.</div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
<span style="font-family: Arial, Helvetica, sans-serif; font-size: x-small;">SQL> purge table <table_name>;</table_name></span></div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
If that table has indexes associated you execute the following.</div>
<div class="separator" style="clear: both; text-align: justify;">
<span style="font-family: Arial, Helvetica, sans-serif; font-size: x-small;"><br /></span></div>
<div class="separator" style="clear: both; text-align: justify;">
<span style="font-family: Arial, Helvetica, sans-serif; font-size: x-small;">SQL> purge index <index_name>;</index_name></span></div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
Enjoy. </div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<div class="separator" style="clear: both; text-align: justify;">
<br /></div>
<br />
<br />
<br />OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-437937121667433372016-06-01T18:08:00.000-04:002016-06-01T18:20:10.150-04:00-- A Quick handy guide to generating SQL Trace --We all have done this a time or another, and then we have to do it again and we have to go back to our notes to remember the steps, this is well-known information, but I encourage you to bookmark it and have it handy as you will eventually need to use it as well.<br />
<span style="background-color: black; color: red; font-family: "arial"; font-weight: 700; line-height: 1.38; white-space: pre-wrap;"><br /></span>
<span style="background-color: black; color: red; font-family: "arial"; font-weight: 700; line-height: 1.38; white-space: pre-wrap;">Tracing the execution of a SQL</span><br />
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: black; font-family: "arial"; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="color: lime;"> </span></span><br />
<span style="background-color: black; color: lime; font-family: "courier new" , "courier" , monospace; font-weight: 700; line-height: 1.38; white-space: pre-wrap;">alter session set tracefile_identifier='10046'; </span><br />
<span style="background-color: black; color: lime; font-family: "courier new" , "courier" , monospace; font-weight: 700; line-height: 1.38; white-space: pre-wrap;">alter session set timed_statistics = true;</span><br />
<span style="background-color: black; color: lime; font-family: "courier new" , "courier" , monospace; font-weight: 700; line-height: 1.38; white-space: pre-wrap;">alter session set statistics_level=all;</span><br />
<span style="background-color: black; color: lime; font-family: "courier new" , "courier" , monospace; font-weight: 700; line-height: 1.38; white-space: pre-wrap;">alter session set max_dump_file_size = unlimited;</span></div>
<span style="background-color: black; color: lime; font-family: "courier new" , "courier" , monospace; font-weight: 700; line-height: 1.38; white-space: pre-wrap;">alter session set events '10046 trace name context forever,level 12';</span><br />
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: black; font-family: "courier new"; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="color: lime;"><br /></span></span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: black; font-family: "courier new"; font-size: 12px; font-style: normal; font-variant: normal; font-weight: 700; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="color: lime;"><now or="" run="" statement="" statements="" the="" to="" trace="" want="" you=""></now></span></span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
/* now you execute the sql that you want to trace */<br />
<br />
exit;<br />
<br /></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
The trace file will be located in your diagnostic destination and will have the number 10046 as part of the file_name, you want to go there to format it using tkprof. </div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: black; color: lime; font-family: "courier new" , "courier" , monospace; line-height: 1.38; white-space: pre-wrap;"><br /></span>
<span style="background-color: black; color: lime; font-family: "courier new" , "courier" , monospace; line-height: 1.38; white-space: pre-wrap;">tkprof input_file output_file waits=yes explain=username/password </span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: black; font-family: "arial"; font-size: 14.6667px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="color: lime;"><br /></span></span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
Note: you can use the sort clause to sort the output in many ways, for a complete description of options please check the following resources:<br />
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: "arial"; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><br /></span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; color: black; font-family: "arial"; font-size: 14.666666666666666px; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><a href="https://docs.oracle.com/cd/B28359_01/server.111/b28274/sqltrace.htm#i4191" target="_blank">- A tkprof guide.</a></span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<a href="https://support.oracle.com/epmos/faces/SearchDocDisplay?_afrLoop=408748222184086&_afrWindowMode=0&_adf.ctrl-state=8jdwfwjvc_77#FIX" target="_blank">- A Guide to tune poor performing SQLs.</a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<a href="https://support.oracle.com/epmos/faces/DocumentDisplay?_afrLoop=408879794329382&parent=DOCUMENT&sourceId=33089.1&id=21154.1&_afrWindowMode=0&_adf.ctrl-state=8jdwfwjvc_150" target="_blank">- More about the 10046 event </a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<a href="https://support.oracle.com/epmos/faces/DocumentDisplay?_afrLoop=408942696533123&parent=DOCUMENT&sourceId=33089.1&id=39817.1&_afrWindowMode=0&_adf.ctrl-state=8jdwfwjvc_199" target="_blank">- How to interpret the Trace</a></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<br /></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
Cheers!!!!</div>
<br />
<br /></div>
OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-88069340416120276552016-02-13T15:32:00.000-05:002016-02-13T15:32:46.809-05:00-- Oracle 11g Optimizer and Incremental Statistics --As I was doing some research about the 11g optimizer I found out that in 11g you can now gather Incremental statistics for partitioned tables. The idea behind this feature is to be able to capture global statistics on large partitioned tables at a lower resource cost by minimizing the time required to collect statistics.<br />
<br />
This makes complete sense, think about a large range partitioned table, for example, SALES_DATA. Let's assume that your SALES_DATA table is partitioned by month, it is very unlikely that old sales data will change, especially data that correspond to previous years. As you know Oracle keeps statistics at the partition level and overall statistics for the table, Oracle monitors DML operations at the table and subpartition levels, normally statistics are gathered only for those partitions that changed (> than 10%), however, global statistics are gathered by scanning the entire table and that makes it a very expensive operation.<br />
<br />
In order to do that, you need to first set the table preferences to incremental.<br />
<br />
SQL> exec dbms_stats.set_table_prefs('TPM','SALES_DATA','INCREMENTAL','TRUE');<br />
<br />
Next we gather the global statistics<br />
<br />
SQL> exec dbms_stats.gather_table_stats('TPM','SALES_DATA', GRANULARITY=> 'GLOBAL');<br />
<br />
If you query the last analyzed column from users_table you will see that the timestamp is updated, however when you query the same column on user_tab_partitions you will see that not all the partitions got updated, furthermore you should see a different on the time it took to gather the statistics.<br />
<br />
<br />
<br />
<br />OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-77481104748332180632016-01-26T16:21:00.001-05:002016-01-26T16:54:21.498-05:00-- Oracle 12c Grid Infrastructure Management Repository MGMTDB --After installing Oracle 12c Grid Infrastructure on an ODA X3-2 we started getting a warning from Enterprise Manager alerting us that the target MGMTDB Database SYSMGMTDATA tablespace is 85% full. As you can imagine we were surprised as we did not recognize that database. We reached out to few people before and realized that this must be something new.<br />
<br />
Starting 12.1.0.2 Oracle creates a new mandatory database called MGMTDB, Oracle creates on it Cluster Health Monitoring (CHM) Data among others, this database gets failover to a surviving node in case one node goes down, the database needs to be up and running, it starts up automatically.<br />
<br />
<b>Please note:</b> There is a minus sign in from of the database name<br />
<br />
<b>Database name:</b> -MGMTDB<br />
<b>ORACLE_HOME: S</b>ame as the GRID_HOME<br />
<br />
I am not sure about the password for SYS or SYSTEM on it, but you can connect as sysdba<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgVr7mYMdrSqKkko2Pe0fQUVcQxEFVUIvu5qSRLVRZ6cDKkATj1s2U56nkrK9QAHTqv-K4RCT_U-0gkXzTJ6TOeoZ4GYrRKPTXXcy2qI6voOTNhMG65aggZ1H1Afc0MilpUfRcXiZ6kjw/s1600/mgmtbd.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="164" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgVr7mYMdrSqKkko2Pe0fQUVcQxEFVUIvu5qSRLVRZ6cDKkATj1s2U56nkrK9QAHTqv-K4RCT_U-0gkXzTJ6TOeoZ4GYrRKPTXXcy2qI6voOTNhMG65aggZ1H1Afc0MilpUfRcXiZ6kjw/s640/mgmtbd.jpg" width="640" /></a></div>
<br />
There are 3 tablespaces on it (UNDO, SYSTEM and SYSAUX) , you do not have to worry about space management since the datafiles are auto-extensible.<br />
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhFo0eHoakKeoStzLNO1aj0wJ7_9gNEDW_YK16syGUVkqZok8AeawKPiflN9898o_-in9ybH5swMX8RIQqerdR1zwXo0lbnc5MwU1u3ZBsnULEAgH2KyHL0EkdWTt2ihA3YQJVJVDfijA/s1600/tablespace.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="88" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhFo0eHoakKeoStzLNO1aj0wJ7_9gNEDW_YK16syGUVkqZok8AeawKPiflN9898o_-in9ybH5swMX8RIQqerdR1zwXo0lbnc5MwU1u3ZBsnULEAgH2KyHL0EkdWTt2ihA3YQJVJVDfijA/s640/tablespace.jpg" width="640" /></a></div>
<div class="separator" style="clear: both; text-align: center;">
<br /></div>
<div class="separator" style="clear: both; text-align: left;">
<a href="https://support.oracle.com/epmos/faces/DocumentDisplay?_afrLoop=316641388854891&id=2065175.1&_adf.ctrl-state=ao7v6xcsp_533" target="_blank">MOS 2065175.1</a> contains information about how to use MDBUtil tool, this tool allows you to perform a variety of operations with the management repository. The best article I found with information related to this topic is from Amit Bansai and you can access it on this <a href="http://askdba.org/weblog/2013/07/mgmtdb-grid-infrastructure-management-repository/" target="_blank">link</a>.</div>
<div class="separator" style="clear: both; text-align: left;">
<br /></div>
<div class="separator" style="clear: both; text-align: left;">
<br /></div>
OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-37460152889708450902015-03-05T11:56:00.000-05:002015-03-05T11:56:02.698-05:00-- Oracle Compression Offerings --<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;">I rece</span><span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;">ntly was approached by a consultant that was confused about the different compression offerings from Oracle, so I decided to write a high-level short summary to provide some clarity.</span><br />
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;">Oracle offers 3 types of Compression:</span><br />
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><b>A) Basic Table and Index Compression (Good for Data Warehouses):</b> This feature has many years in the market (at least 10 (Oracle 9i)) and it is part of Oracle Enterprise Edition (no additional license cost for you), when Oracle designed this feature the goal as the name of the feature says was to compress data to save space, however, what they found is that by compressing the data, and as a natural consequence you reduced the I/O, and if you add to it the fact that their compression / decompression algorithm is very light and simple (just consume negligent additional CPU amounts) the query performance often increases.</span><br />
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><b>A.1) What are the disadvantages of it:</b> With this type of compression Oracle only compresses the data when you are inserting it into the table, and you need to insert it using <b>“direct path insert”</b>. The other disadvantage is that during updates Oracle needs to decompress the records and after updating them it does not compress it again, therefore you will end with a mix of compressed and uncompressed records. This type of compression is not good for OLTP databases, but ideal for Data Warehouses where you mostly do read-only transactions and you populate the data through an ETL tool doing the direct path insert.</span><br />
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><b>A.2) What is direct path insert and what does this means:</b> Direct path insert is a special mode if the insert where Oracle while inserting data will ignore the available free space on the table, in other words, it will not reuse the available free space on the table, it will do the insert after the existing data in the table, therefore wasting disk space, but increasing performance because it bypasses the buffer cache and writes directly to the data files.</span><br />
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><b>A.3) What queries will see a performance advantage:</b> Those queries that requires fetching millions of records and do aggregations where I/O is the bottleneck over tables that have a high compression ratio, tables with small numbers of rows or small size will see adverse performance impact due to the CPU overhead.</span><br />
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><b>A.4) What compression ratio can be achieved:</b> It depends on the nature of the data, tables with duplicated data will achieve higher compression while tables with almost no data duplication will achieve less to none.</span><br />
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><b>B) Oracle Advanced Compression (Available 11g and above) (a.k.a OLTP Compression):</b> This is a licensed feature that can be implemented on top of Oracle Enterprise Edition only, it works similar to Basic table compression but it allows data to be compressed during all types of DML operations such as Insert or Updates, the compression algorithm is enhanced therefore reducing the overhead of write operations. The other advantage is that Oracle is able to read the rows without uncompressing them, therefore, there is almost no performance degradation in accessing compressed data, in fact in many cases you may see performance improvement due to the reduced I/O.</span><br />
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"><b>C) Hybrid Columnar compression (HCC):</b> This is a feature available on Oracle Exadata, and recent rumors say that is available on the ODA X5-2. HCC uses an orchestration of Hardware and Software capabilities, it achieves higher compression rates than the other 2 methods, it has 4 different types of setting (Query high / Query Low/ Archive high / Archive low) that tells Oracle how you want to balance the compression vs. performance impact; in other words the more compression the higher the CPU cost involved in performing operations, the lower compression the less CPU cost . Different from the other 2 methods this one stores the data in columnar format and that is the secret sauce for achieving higher compression, the disadvantage is that you could have adverse performance effects if you query more than one column at a time, although this is often offset by the use of the Exadata Smart scan feature. You still need to do bulk load of the information to maximize the compression ratio. Oracle includes an advisor that tells you what kind of compression you could expect to achieve.</span><span style="color: #6aa84f; font-family: Arial, Helvetica, sans-serif;"> </span>OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-72839071025053285862014-10-27T12:57:00.002-04:002014-10-28T14:48:32.161-04:00-- How to quickly change the AWR Interval and how to create one on demand --<span style="font-family: Verdana, sans-serif;"><b><br /></b></span>
<span style="font-family: Verdana, sans-serif;"><b><br /></b></span>
<span style="font-family: Verdana, sans-serif;"><b>Check the current defaults.</b></span><br />
<div>
<span style="font-family: Verdana, sans-serif;"><br /></span></div>
<div>
<span style="font-family: Verdana, sans-serif;"></span><br />
<div>
<span style="font-family: Verdana, sans-serif;"><span style="font-size: x-small;">set linesize 100</span></span></div>
<span style="font-family: Verdana, sans-serif;">
</span>
<br />
<div>
<span style="font-family: Verdana, sans-serif;"><span style="font-size: x-small;">col snap_interval format a20</span></span></div>
<span style="font-family: Verdana, sans-serif;">
</span>
<div>
<span style="font-family: Verdana, sans-serif;"><span style="font-size: x-small;">col retention format a20</span></span></div>
<span style="font-family: Verdana, sans-serif;">
<div>
<span style="font-size: x-small;">col topnsql format a20</span></div>
<div>
<span style="font-size: x-small;">select * from dba_hist_wr_control;</span></div>
<div>
<br /></div>
<div>
<div>
<span style="font-size: x-small;">DBID SNAP_INTERVAL RETENTION TOPNSQL </span></div>
<div>
<span style="font-size: x-small;">---------- -------------------- -------------------- --------------------</span></div>
<div>
<span style="font-size: x-small;">3610569430 0 0:60:0.0 7 0:0:0.0 DEFAULT </span> </div>
</div>
<div>
<br /></div>
<div>
<br /></div>
<div>
<b>Below we are changing the interval from 1 hour (Default) to 30 min.</b></div>
<div>
<br /></div>
<div>
<span style="font-size: x-small;">execute dbms_workload_repository.modify_snapshot_settings ( interval => 30);</span></div>
<div>
<span style="font-size: x-small;"><br /></span></div>
<div>
<span style="font-size: x-small;">anonymous block completed</span></div>
<div>
<br /></div>
<div>
<b>Check that the change was applied.</b></div>
<div>
<br /></div>
<div>
<div>
<span style="font-size: x-small;">set linesize 100</span></div>
<div>
<span style="font-size: x-small;">col snap_interval format a20</span></div>
<div>
<span style="font-size: x-small;">col retention format a20</span></div>
<div>
<span style="font-size: x-small;">col topnsql format a20</span></div>
<div>
<span style="font-size: x-small;">select * from dba_hist_wr_control;</span></div>
</div>
<div>
<span style="font-size: x-small;"><br /></span></div>
<div>
<div>
<span style="font-size: x-small;">DBID SNAP_INTERVAL RETENTION TOPNSQL </span></div>
<div>
<span style="font-size: x-small;">---------- -------------------- -------------------- --------------------</span></div>
</div>
<div>
<span style="font-size: x-small;">3610569430 0 0:30:0.0 7 0:0:0.0 DEFAULT </span><br />
<span style="font-size: x-small;"><br /></span>
<b>Create AWR on demand</b><br />
<b><br /></b>
<span style="font-size: x-small;">When debugging SQLs you may want to get an AWR snapshot before and after you run an specific SQL.</span><br />
<span style="font-size: x-small;"><br /></span>
<span style="font-size: x-small;">exec dbms_workload_repository.create_snapshot();</span><br />
<span style="font-size: x-small;"><br /></span>
<span style="font-size: x-small;">select * from xxxx /* Your query */</span><br />
<span style="font-size: x-small;"><br /></span>
<span style="font-size: x-small;"></span><br />
<span style="font-size: x-small;">exec dbms_workload_repository.create_snapshot();</span><br />
<span style="font-size: x-small;"><br /></span></div>
<div>
<br /></div>
</span></div>
OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-3082552430533889732014-10-01T19:14:00.000-04:002014-10-01T19:14:10.765-04:00-- Oracle Openworld 2014 --During my visit to the 2014 Oracle Openworld I had the opportunity to talk with some of Oracle's customers and with different vendors who are leaders in their industries.<br />
<div class="p2">
<br /></div>
<div class="p1">
This year there is a big focus on the cloud, which is not surprise. Companies are becoming more aggressive in adopting a hybrid between cloud and traditional information systems on premises. Oracle is trying to determine how to support 20 year old applications which are no longer supported by the original vendors, and how to avoid for those apps to age out placing customers on a bad spot in the future. A lot of companies are embracing the SaS schema, especially companies with global operations because that allows them standardization and also resolves the problem of keeping up with application upgrades.</div>
<div class="p2">
<br /></div>
<div class="p1">
The other emphasis is to provide real time data to the executives, including information from social media. The goal here is to enable executives to make decisions on the spot rather than weeks or months after obtaining the data when they finally get the results from their analytics. Companies believe that there is traditionally a big gap between the time they obtain the information and the time they react to it. By the time they shift gears in their business they missed some or all of the momentum. In order to achieve rapid response time, there are dedicated people constantly studying customer science and interpreting the volume and complexity of the data. This allows them to engage the customer digitally in real time before the analytics age out. </div>
<div class="p2">
<br /></div>
<div class="p1">
Many companies find they are experiencing the same types of problems. Some common trends are: reducing the number of legacy applications; moving into a single CRM and ERP systems; achieving globalization and standardization by leveraging Cloud-like technologies; and simplification and modularization of infrastructure technology to enable the use of common computing power.</div>
<div class="p2">
<br /></div>
<div class="p1">
There has been a shift where companies are not longer organizing and following sales leads by territory and region, but by customers that are most likely to buy, with the implementation of digital technology, it is not longer that relevant to have a presence on a specific territory or region, and companies can save in OPEX by making strategic use of their sales force. </div>
<div class="p2">
<br /></div>
<div class="p1">
On the technical side Oracle is promoting the consolidation trend by recommending to implement multi tenant databases, this is specially good and true for environments such as development and test sharing the same hardware, but maintaining their inter-independence. On the analytics side once we get to Oracle 12c there is a paid feature called in memory database which allows you non only to store tables in memory, but to organize them in a columnar fashion, which makes your analytics performance many times faster. </div>
<div class="p2">
<br /></div>
<div class="p1">
Talking to some of the vendors they tell me nobody is doing money with Big Data, companies simple do not have interest on it yet, but they see a lot of potential and started to see tangible sales on SaS and other Cloud like technologies, the big concern here is still security and the big challenge is extracting your data if you decide to no longer be on a hosted Cloud service. </div>
OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-1474976757876953052014-02-10T15:42:00.003-05:002014-02-10T15:42:34.562-05:00-- Resetting a table or Index high water mark --<span style="font-family: Georgia, Times New Roman, serif;">We recently got confronted in our Data Warehouse database with an issue where one of the database files was a "bigfile" tablespace and it was located on a drive that can't be expanded. Yes, I know that is the rule No.1 about using "bigfile" tablespaces, if you are going to have storage limitations do not use tablespaces. In my defense I inherited the environment, someone else designed it :) . </span><br />
<span style="font-family: Georgia, Times New Roman, serif;"><br /></span>
<span style="font-family: Georgia, Times New Roman, serif;">Our application administrator told us that he deleted a humongous amount of space from the biggest table, however you will not see that space back in the tablespace as it is still being help as empty blocks on the table. Out grid control critical threshold of 97% was triggered. </span><br />
<span style="font-family: Georgia, Times New Roman, serif;"><br /></span>
<span style="font-family: Georgia, Times New Roman, serif;">Although the application administrator told us not to worry about it, because the table will reuse the empty space and won't try to consume more space in the tablespace, I didn't feel well just knowing that the next time that we get an issue I won't get an alert, I will get a call from the application administrator telling me that the system in halt because of the space. Since this is a 1.7TB database, it will take long time for me to move that tablespace to somewhere else with more space.</span><br />
<span style="font-family: Georgia, Times New Roman, serif;"><br /></span>
<span style="font-family: Georgia, Times New Roman, serif;">So what I decided to do was to reset the high water mark of those tables and indexes so it returns the space to the tablespace and I get my Grid control alert clear again.</span><br />
<span style="font-family: Georgia, Times New Roman, serif;"><br /></span>
<span style="font-family: Georgia, Times New Roman, serif;">This is the way you accomplish that.</span><br />
<span style="font-family: Georgia, Times New Roman, serif;"><br /></span>
<span style="font-family: Georgia, Times New Roman, serif;">SQL> alter table <table_name> enable row movement;</table_name></span><br />
<span style="font-family: Georgia, Times New Roman, serif;">SQL > alter table <table_name> shrink space;</table_name></span><br />
<span style="font-family: Georgia, Times New Roman, serif;"><br /></span>
<span style="font-family: Georgia, Times New Roman, serif;">If you want to reset the high water mark for all dependent objects yo do this:</span><br />
<span style="font-family: Georgia, Times New Roman, serif;"><br /></span>
<span style="font-family: Georgia, 'Times New Roman', serif;">SQL > alter table <table_name> shrink space cascade;</table_name></span><br />
<span style="font-family: Georgia, 'Times New Roman', serif;"><br /></span>
<span style="font-family: Georgia, 'Times New Roman', serif;">If you just want to compact the table without resetting the high ware mark you do</span><br />
<span style="font-family: Georgia, 'Times New Roman', serif;"><br /></span>
<span style="font-family: Georgia, 'Times New Roman', serif;">SQL > alter table <table_name> shrink space compact;</table_name></span><br />
<span style="font-family: Georgia, 'Times New Roman', serif;"><br /></span>
<span style="font-family: Georgia, 'Times New Roman', serif;">Please note that the operations above can be done online with minimum impact (row level locking for a brief moment). </span><br />
<span style="font-family: Georgia, 'Times New Roman', serif;"><br /></span>
<span style="font-family: Georgia, 'Times New Roman', serif;">For indexed you do</span><br />
<span style="font-family: Georgia, 'Times New Roman', serif;"><br /></span>
<span style="font-family: Georgia, 'Times New Roman', serif;"><br /></span>
<span style="font-family: Georgia, 'Times New Roman', serif;">SQL > alter index <index_name> shrink space;</index_name></span><br />
<span style="font-family: Georgia, 'Times New Roman', serif;"><br /></span>
<span style="font-family: Georgia, 'Times New Roman', serif;">Enjoy. </span><br />
<span style="font-family: Georgia, Times New Roman, serif;"><br /></span>
<span style="font-family: Georgia, Times New Roman, serif;"><br /></span>
<span style="font-family: Georgia, Times New Roman, serif;"><br /></span>OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-12966051280791648032014-01-20T16:48:00.001-05:002014-01-20T16:53:56.075-05:00-- Challenges of Project Managing & Agile Methodologies --Although these two subjects could be seen as two different topics (and they are), they are intimate related and therefore I decided to cover both of them on the same paper. In my personal opinion Agile surges as a solution to the drastic increase of many Information System Development (ISD) projects failures. However rather that analyzing the failures and correcting them, we decided to re-invent the wheel.<br />
<br />
Let me explain, for a project to be successful there are few elements that are needed, you need the resources (people), they need to have the technical knowledge adequate to be able to develop the solution, you need a problem or requirements (what is needed, what is the problem that I am trying to solve), you need a solution or solutions (how I am going to resolve of mitigate the issue), and you need a plan to get there.<br />
<br />
I learned earlier in my career that the most important elements on Developing information system are<br />
<br />
1.- You need to have a clear understanding of what is that you are trying to solve.<br />
2.- You need to understand how the proposed solution will solve the problem.<br />
3.- You need to have a fix scope of what is that you are going to do, and make the business sign on it.<br />
<br />
It is often that software engineers don't understand the problem (many times because the business do not understand it either, and provides very vague description and requirements). I find often that the issue here is the technological gap in communication. Depending who is the person from the business that you are getting the requirements from that person will be able to provide the exact requirements needed or will just give you a vague idea, which will likely translate in a poor design that does not meet the business requirements.<br />
<br />
Many times business owners wants to set deadlines that are just not feasible, and developers need to compromise in the quality or their programs in order to meet the deadline, which end creating production issues. Another typical issue is that due to the constants business changes the scope of the project is changing all the time. So basically if you spend time understanding the requirements, you have solid knowledge of the technology that you will use for the development, you have a clear scope of the project, your deadlines are feasible and you have a project manager supporting you, then you have a project that have a very high percentage of success rate.<br />
<br />
Another challenge that was introduced in the last 10 years is that a big portion of the development projects are outsourced overseas, with this the communication issue that I explained above gets exponentially worse. The other problem that is difficult to solve is the constant changing requirements, and that is where Agile plays a role, the idea behind agile is to create a virtual team that will be able to address the constant changes on the fly, what Agile provides as well is a series of micro managing tools that ensure the project is on track before is too late.<br />
<br />
Agile in theory looks good, however I have not seeing a lot of adoption on it, and the degree of success of Agile projects vs non-agile projects is still to be proven. At this point you may be asking yourself, if we do not use Agile how else can we close this gap, what other methodology can we use, to what I will answer that it depends of each business and organization needs, there is not a single solution that fixes all the problems.<br />
<br />
Regarding to what would I propose for a project where the scope is constantly changing, my answer would be to have additional development groups that will start new development at the tail ending of the other, in that way you can take in production a complete project and you are already working on a new version.<br />
<br />
<br />
<br />OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-30033284000142515472014-01-08T00:04:00.002-05:002014-01-08T00:04:37.234-05:00-- The Future of Enterprise Applications --<br />
Like any other technology "Enterprise Applications" surged from a need, initially companies were trying to resolve very specific problems. Initially there were MRP. (Material Requirement Planning) systems (1970) that intended to aid in accomplish tasks such as schedule production. Later on that need evolved in good part because companies saw the capabilities of the technology and how it turned over time more efficient and more cost effective, the second wave of enterprise systems is constituted by what is call MRP. II (Manufacturing Resource Planning) Systems (1980), these application not only focused exclusively in production data, but exploded the relationships with Marketing and Finance data between others. Later in 1990 these systems evolved once more into what is noways called ERP. or Enterprise Resource Planning.<br />
<br />
As you can imagine by the word Enterprise the idea behind is to integrate in an orchestrated way all business functions with the goal of improving operations, some key features that characterize these applications are.<br />
<ul>
<li>Global Scale.</li>
<li>Focus in Collaboration and Product Strategy.</li>
<li>Based on a particular business model.</li>
<li>Aims to adapt and correct based on the markets conditions.</li>
<li>Leverage business intelligence and analytic techniques.</li>
<li>Integrated Information Exchange.</li>
</ul>
<br />
So what is next in the ERP arena?. Well to start with we are in the era of mobility (access your data any time any where from any device). Mobility will not only add convenience to Enterprise Systems but also will add a new level of real time data. But what do we need for that to happen, well there is an implicit cost in all these systems, so how do you manage this cost?.<br />
<br />
The answer is to use SAS. (Software as a Service) which is usually stored in the cloud where you pay a fraction of the cost or (pay per use). So why this has not taken off?<br />
<br />
Below are some of the few reasons:<br />
<br />
<ul>
<li> Hesitant due to security. </li>
<li> Technology not being totally there. </li>
<li> Scalability. </li>
<li> Interdependence, could not exist without supporting range of other services.</li>
</ul>
<br />
What can you do to mitigate the risks<br />
<br />
<ul>
<li> You need to build fault tolerance infrastructure or hire a third party vendor that offers this.</li>
<li> You need to plan for it instead of stay away from it..</li>
</ul>
<br />
<br />OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-982393916481191782013-07-10T13:47:00.001-04:002013-07-10T13:47:36.473-04:00-- Oracle RDBMS 12c was formaly released today --The new version of Oracle has over 500 new features, some of those features indicate to me that in order to achieve them they did a massive re-architecture. The one that called my attention the most was pluggable database, apparently you create a database defined as a container, and you can add up to 255 pluggable databases to the same container, now this is the interesting part, in the past 1 instance belongs to one and only one database, however a database can have many instances (RAC), well now that instance that is the container is shared among all the pluggable databases on it. All the databases in the same container inherit the features of the container database (RAC, DG, etc).<br />
<br />
Tom Kyte presented his favorite 12 features of 12C, he mentioned that it was a challenge because there were 500 new features, which he narrowed to 80 and then to 12 :). Here they are.<br />
<br />
<ol>
<li>Default to Column</li>
<li>Even better PL/SQL</li>
<li>Increase of size limits for certain data types.</li>
<li>Easy Top-N and pagination queries</li>
<li>Row pattern matching (good for analysis of data)</li>
<li>Lots of partitioning improvements (move partitions online)</li>
<li>Adaptive execution plan (Your execution plan changes on the fly)</li>
<li>Enhanced Statistics (New histograms).</li>
<li>Temporary undo (Temporary tables store undo on temporary tablespace)</li>
<li>New Data Optimization capabilities (Heat map)</li>
<li>Application continuity (this is an extension of TAF), Transaction guard (this ensures web transaction do not get duplicated by error).</li>
<li>Pluggable Databases.</li>
</ol>
You can get more details about this at http://otn.oracle.com<br />
<br />
OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-30927296428812486792013-07-02T10:53:00.000-04:002013-07-02T10:53:00.005-04:00-- Oracle RDBMS 12c Is here --Breaking the tradition of releasing it's new version of the RDBMS during their Oracle OpenWorld, Oracle announced the introduction of their 12c on July 10th 12 pm est. Tom Kyte will be presenting the Top 12 New Features of it. Some of the new features include<br />
<br />
<!--[if gte mso 9]><xml>
<o:OfficeDocumentSettings>
<o:AllowPNG/>
</o:OfficeDocumentSettings>
</xml><![endif]--><br />
<!--[if gte mso 9]><xml>
<w:WordDocument>
<w:View>Normal</w:View>
<w:Zoom>0</w:Zoom>
<w:TrackMoves/>
<w:TrackFormatting/>
<w:PunctuationKerning/>
<w:ValidateAgainstSchemas/>
<w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid>
<w:IgnoreMixedContent>false</w:IgnoreMixedContent>
<w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText>
<w:DoNotPromoteQF/>
<w:LidThemeOther>EN-US</w:LidThemeOther>
<w:LidThemeAsian>X-NONE</w:LidThemeAsian>
<w:LidThemeComplexScript>X-NONE</w:LidThemeComplexScript>
<w:Compatibility>
<w:BreakWrappedTables/>
<w:SnapToGridInCell/>
<w:WrapTextWithPunct/>
<w:UseAsianBreakRules/>
<w:DontGrowAutofit/>
<w:SplitPgBreakAndParaMark/>
<w:EnableOpenTypeKerning/>
<w:DontFlipMirrorIndents/>
<w:OverrideTableStyleHps/>
</w:Compatibility>
<m:mathPr>
<m:mathFont m:val="Cambria Math"/>
<m:brkBin m:val="before"/>
<m:brkBinSub m:val="--"/>
<m:smallFrac m:val="off"/>
<m:dispDef/>
<m:lMargin m:val="0"/>
<m:rMargin m:val="0"/>
<m:defJc m:val="centerGroup"/>
<m:wrapIndent m:val="1440"/>
<m:intLim m:val="subSup"/>
<m:naryLim m:val="undOvr"/>
</m:mathPr></w:WordDocument>
</xml><![endif]--><!--[if gte mso 9]><xml>
<w:LatentStyles DefLockedState="false" DefUnhideWhenUsed="true"
DefSemiHidden="true" DefQFormat="false" DefPriority="99"
LatentStyleCount="267">
<w:LsdException Locked="false" Priority="0" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Normal"/>
<w:LsdException Locked="false" Priority="9" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="heading 1"/>
<w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 2"/>
<w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 3"/>
<w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 4"/>
<w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 5"/>
<w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 6"/>
<w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 7"/>
<w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 8"/>
<w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 9"/>
<w:LsdException Locked="false" Priority="39" Name="toc 1"/>
<w:LsdException Locked="false" Priority="39" Name="toc 2"/>
<w:LsdException Locked="false" Priority="39" Name="toc 3"/>
<w:LsdException Locked="false" Priority="39" Name="toc 4"/>
<w:LsdException Locked="false" Priority="39" Name="toc 5"/>
<w:LsdException Locked="false" Priority="39" Name="toc 6"/>
<w:LsdException Locked="false" Priority="39" Name="toc 7"/>
<w:LsdException Locked="false" Priority="39" Name="toc 8"/>
<w:LsdException Locked="false" Priority="39" Name="toc 9"/>
<w:LsdException Locked="false" Priority="35" QFormat="true" Name="caption"/>
<w:LsdException Locked="false" Priority="10" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Title"/>
<w:LsdException Locked="false" Priority="1" Name="Default Paragraph Font"/>
<w:LsdException Locked="false" Priority="11" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Subtitle"/>
<w:LsdException Locked="false" Priority="22" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Strong"/>
<w:LsdException Locked="false" Priority="20" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Emphasis"/>
<w:LsdException Locked="false" Priority="59" SemiHidden="false"
UnhideWhenUsed="false" Name="Table Grid"/>
<w:LsdException Locked="false" UnhideWhenUsed="false" Name="Placeholder Text"/>
<w:LsdException Locked="false" Priority="1" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="No Spacing"/>
<w:LsdException Locked="false" Priority="60" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Shading"/>
<w:LsdException Locked="false" Priority="61" SemiHidden="false"
UnhideWhenUsed="false" Name="Light List"/>
<w:LsdException Locked="false" Priority="62" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Grid"/>
<w:LsdException Locked="false" Priority="63" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 1"/>
<w:LsdException Locked="false" Priority="64" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 2"/>
<w:LsdException Locked="false" Priority="65" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 1"/>
<w:LsdException Locked="false" Priority="66" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 2"/>
<w:LsdException Locked="false" Priority="67" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 1"/>
<w:LsdException Locked="false" Priority="68" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 2"/>
<w:LsdException Locked="false" Priority="69" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 3"/>
<w:LsdException Locked="false" Priority="70" SemiHidden="false"
UnhideWhenUsed="false" Name="Dark List"/>
<w:LsdException Locked="false" Priority="71" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Shading"/>
<w:LsdException Locked="false" Priority="72" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful List"/>
<w:LsdException Locked="false" Priority="73" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Grid"/>
<w:LsdException Locked="false" Priority="60" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Shading Accent 1"/>
<w:LsdException Locked="false" Priority="61" SemiHidden="false"
UnhideWhenUsed="false" Name="Light List Accent 1"/>
<w:LsdException Locked="false" Priority="62" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Grid Accent 1"/>
<w:LsdException Locked="false" Priority="63" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 1 Accent 1"/>
<w:LsdException Locked="false" Priority="64" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 2 Accent 1"/>
<w:LsdException Locked="false" Priority="65" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 1 Accent 1"/>
<w:LsdException Locked="false" UnhideWhenUsed="false" Name="Revision"/>
<w:LsdException Locked="false" Priority="34" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="List Paragraph"/>
<w:LsdException Locked="false" Priority="29" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Quote"/>
<w:LsdException Locked="false" Priority="30" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Intense Quote"/>
<w:LsdException Locked="false" Priority="66" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 2 Accent 1"/>
<w:LsdException Locked="false" Priority="67" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 1 Accent 1"/>
<w:LsdException Locked="false" Priority="68" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 2 Accent 1"/>
<w:LsdException Locked="false" Priority="69" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 3 Accent 1"/>
<w:LsdException Locked="false" Priority="70" SemiHidden="false"
UnhideWhenUsed="false" Name="Dark List Accent 1"/>
<w:LsdException Locked="false" Priority="71" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Shading Accent 1"/>
<w:LsdException Locked="false" Priority="72" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful List Accent 1"/>
<w:LsdException Locked="false" Priority="73" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Grid Accent 1"/>
<w:LsdException Locked="false" Priority="60" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Shading Accent 2"/>
<w:LsdException Locked="false" Priority="61" SemiHidden="false"
UnhideWhenUsed="false" Name="Light List Accent 2"/>
<w:LsdException Locked="false" Priority="62" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Grid Accent 2"/>
<w:LsdException Locked="false" Priority="63" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 1 Accent 2"/>
<w:LsdException Locked="false" Priority="64" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 2 Accent 2"/>
<w:LsdException Locked="false" Priority="65" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 1 Accent 2"/>
<w:LsdException Locked="false" Priority="66" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 2 Accent 2"/>
<w:LsdException Locked="false" Priority="67" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 1 Accent 2"/>
<w:LsdException Locked="false" Priority="68" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 2 Accent 2"/>
<w:LsdException Locked="false" Priority="69" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 3 Accent 2"/>
<w:LsdException Locked="false" Priority="70" SemiHidden="false"
UnhideWhenUsed="false" Name="Dark List Accent 2"/>
<w:LsdException Locked="false" Priority="71" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Shading Accent 2"/>
<w:LsdException Locked="false" Priority="72" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful List Accent 2"/>
<w:LsdException Locked="false" Priority="73" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Grid Accent 2"/>
<w:LsdException Locked="false" Priority="60" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Shading Accent 3"/>
<w:LsdException Locked="false" Priority="61" SemiHidden="false"
UnhideWhenUsed="false" Name="Light List Accent 3"/>
<w:LsdException Locked="false" Priority="62" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Grid Accent 3"/>
<w:LsdException Locked="false" Priority="63" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 1 Accent 3"/>
<w:LsdException Locked="false" Priority="64" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 2 Accent 3"/>
<w:LsdException Locked="false" Priority="65" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 1 Accent 3"/>
<w:LsdException Locked="false" Priority="66" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 2 Accent 3"/>
<w:LsdException Locked="false" Priority="67" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 1 Accent 3"/>
<w:LsdException Locked="false" Priority="68" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 2 Accent 3"/>
<w:LsdException Locked="false" Priority="69" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 3 Accent 3"/>
<w:LsdException Locked="false" Priority="70" SemiHidden="false"
UnhideWhenUsed="false" Name="Dark List Accent 3"/>
<w:LsdException Locked="false" Priority="71" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Shading Accent 3"/>
<w:LsdException Locked="false" Priority="72" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful List Accent 3"/>
<w:LsdException Locked="false" Priority="73" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Grid Accent 3"/>
<w:LsdException Locked="false" Priority="60" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Shading Accent 4"/>
<w:LsdException Locked="false" Priority="61" SemiHidden="false"
UnhideWhenUsed="false" Name="Light List Accent 4"/>
<w:LsdException Locked="false" Priority="62" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Grid Accent 4"/>
<w:LsdException Locked="false" Priority="63" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 1 Accent 4"/>
<w:LsdException Locked="false" Priority="64" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 2 Accent 4"/>
<w:LsdException Locked="false" Priority="65" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 1 Accent 4"/>
<w:LsdException Locked="false" Priority="66" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 2 Accent 4"/>
<w:LsdException Locked="false" Priority="67" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 1 Accent 4"/>
<w:LsdException Locked="false" Priority="68" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 2 Accent 4"/>
<w:LsdException Locked="false" Priority="69" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 3 Accent 4"/>
<w:LsdException Locked="false" Priority="70" SemiHidden="false"
UnhideWhenUsed="false" Name="Dark List Accent 4"/>
<w:LsdException Locked="false" Priority="71" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Shading Accent 4"/>
<w:LsdException Locked="false" Priority="72" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful List Accent 4"/>
<w:LsdException Locked="false" Priority="73" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Grid Accent 4"/>
<w:LsdException Locked="false" Priority="60" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Shading Accent 5"/>
<w:LsdException Locked="false" Priority="61" SemiHidden="false"
UnhideWhenUsed="false" Name="Light List Accent 5"/>
<w:LsdException Locked="false" Priority="62" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Grid Accent 5"/>
<w:LsdException Locked="false" Priority="63" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 1 Accent 5"/>
<w:LsdException Locked="false" Priority="64" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 2 Accent 5"/>
<w:LsdException Locked="false" Priority="65" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 1 Accent 5"/>
<w:LsdException Locked="false" Priority="66" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 2 Accent 5"/>
<w:LsdException Locked="false" Priority="67" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 1 Accent 5"/>
<w:LsdException Locked="false" Priority="68" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 2 Accent 5"/>
<w:LsdException Locked="false" Priority="69" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 3 Accent 5"/>
<w:LsdException Locked="false" Priority="70" SemiHidden="false"
UnhideWhenUsed="false" Name="Dark List Accent 5"/>
<w:LsdException Locked="false" Priority="71" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Shading Accent 5"/>
<w:LsdException Locked="false" Priority="72" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful List Accent 5"/>
<w:LsdException Locked="false" Priority="73" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Grid Accent 5"/>
<w:LsdException Locked="false" Priority="60" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Shading Accent 6"/>
<w:LsdException Locked="false" Priority="61" SemiHidden="false"
UnhideWhenUsed="false" Name="Light List Accent 6"/>
<w:LsdException Locked="false" Priority="62" SemiHidden="false"
UnhideWhenUsed="false" Name="Light Grid Accent 6"/>
<w:LsdException Locked="false" Priority="63" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 1 Accent 6"/>
<w:LsdException Locked="false" Priority="64" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Shading 2 Accent 6"/>
<w:LsdException Locked="false" Priority="65" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 1 Accent 6"/>
<w:LsdException Locked="false" Priority="66" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium List 2 Accent 6"/>
<w:LsdException Locked="false" Priority="67" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 1 Accent 6"/>
<w:LsdException Locked="false" Priority="68" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 2 Accent 6"/>
<w:LsdException Locked="false" Priority="69" SemiHidden="false"
UnhideWhenUsed="false" Name="Medium Grid 3 Accent 6"/>
<w:LsdException Locked="false" Priority="70" SemiHidden="false"
UnhideWhenUsed="false" Name="Dark List Accent 6"/>
<w:LsdException Locked="false" Priority="71" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Shading Accent 6"/>
<w:LsdException Locked="false" Priority="72" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful List Accent 6"/>
<w:LsdException Locked="false" Priority="73" SemiHidden="false"
UnhideWhenUsed="false" Name="Colorful Grid Accent 6"/>
<w:LsdException Locked="false" Priority="19" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Subtle Emphasis"/>
<w:LsdException Locked="false" Priority="21" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Intense Emphasis"/>
<w:LsdException Locked="false" Priority="31" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Subtle Reference"/>
<w:LsdException Locked="false" Priority="32" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Intense Reference"/>
<w:LsdException Locked="false" Priority="33" SemiHidden="false"
UnhideWhenUsed="false" QFormat="true" Name="Book Title"/>
<w:LsdException Locked="false" Priority="37" Name="Bibliography"/>
<w:LsdException Locked="false" Priority="39" QFormat="true" Name="TOC Heading"/>
</w:LatentStyles>
</xml><![endif]--><!--[if gte mso 10]>
<style>
/* Style Definitions */
table.MsoNormalTable
{mso-style-name:"Table Normal";
mso-tstyle-rowband-size:0;
mso-tstyle-colband-size:0;
mso-style-noshow:yes;
mso-style-priority:99;
mso-style-parent:"";
mso-padding-alt:0in 5.4pt 0in 5.4pt;
mso-para-margin:0in;
mso-para-margin-bottom:.0001pt;
mso-pagination:widow-orphan;
font-size:10.0pt;
font-family:"Times New Roman","serif";}
</style>
<![endif]--><span style="font-family: Symbol; font-size: 10.0pt; mso-bidi-font-family: Symbol; mso-bidi-font-size: 11.0pt; mso-fareast-font-family: Symbol;"><span style="mso-list: Ignore;">- <span style="font: 7.0pt "Times New Roman";"> </span></span></span><span style="mso-fareast-font-family: "Times New Roman";">Simplify
database consolidation</span><br />
<span style="mso-fareast-font-family: "Times New Roman";">- </span><span style="mso-fareast-font-family: "Times New Roman";">Automatically
compress and tier data</span><br />
<span style="mso-fareast-font-family: "Times New Roman";">- </span><span style="mso-fareast-font-family: "Times New Roman";">Improve
database and application continuit</span><span style="mso-fareast-font-family: "Times New Roman";"> </span><br />
<span style="mso-fareast-font-family: "Times New Roman";">- Redact
sensitive data </span><br />
<br />
<span style="mso-fareast-font-family: "Times New Roman";">To register click <a href="https://event.on24.com/eventRegistration/EventLobbyServlet?target=registration.jsp&eventid=617926&sessionid=1&key=8D5918DABF87924314A8E84FA29A9178&partnerref=DB_db12claunch_internal_71013&sourcepage=register#a" target="_blank">here</a>. </span><br />
<br />
<br />
<span style="mso-fareast-font-family: "Times New Roman";"> </span><span style="mso-fareast-font-family: "Times New Roman";"></span>
OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-16664226734314642612013-06-18T16:31:00.000-04:002013-06-18T16:31:17.137-04:00-- Can DBMS_JOBS Failover when using instance affinity? --One of my customers recently approached me asking this question, first let me explain what is instance affinity for DBMS_JOBS.<br />
<br />
Let's assume you have 3 jobs you need to run and you are using Oracle RAC, you have 3 instances (1 Database), and you want to be able to balance the load (not using SQL Net load balancing), you could use node affinity to ensure that a particular job only runs from one node.<br />
<br />
<i>DBMS_JOB.INSTANCE (JOB IN BINERY_INTEGER,</i><br />
<i> INSTANCE IN BINARY_INTEGER,</i><br />
<i> FORCE IN BOOLEAN DEFAULT FALSE);</i><br />
<i><br /></i>
In the above syntax the INSTANCE parameter represent the instance number where you want the job to run, the FORCE when FALSE (Default) and having INSTANCE > 0 will alter the job affinity for the specified instance assuming that instance is running, if INSTANCE = 0 then the job will be executed by any instance, If FORCE = TRUE then the job will be altered regardless of the state of the instance as long as the INSTANCE parameter is not negative or null.<br />
<br />
Leaving that clear the answer is no, <u>DBMS_JOB node affinity will not failover to a surviving instance during an Oracle RAC instance failover</u>, it will simple not run while the instance is down.<br />
<br />
People have suggested that Oracle should enhance DBMS_JOB to achieve that function, the answer is that they did, the DBMS_SCHEDULER uses job classes that you can associate to an specific service, and as long as you failover the service to the surviving instance the job will be executed there.<br />
<br />
<i>BEGIN</i><br />
<i>DBMS_SCHEDULER.CREATE_J0B_CLASS(</i><br />
<i> JOB_CLASS_NAME => '[CLASS_NAME]',</i><br />
<i> SERVICE => '[SERVICE_NAME]');</i><br />
<i>END;</i><br />
<i>/</i><br />
<i><br /></i>
<i>BEGIN</i><br />
<i>SYS.DBMS_SCHEDULER.CREATE_JOB(</i><br />
<i> JOB_NAME => '[JOB_NAME]',</i><br />
<i> PROGRAM_NAME => '[PROGRAM_NAME]',</i><br />
<i> START_DATE => '[START_DATE]',</i><br />
<i> JOB_CLASS => '[CLASS_NAME]',</i><br />
<i> COMMENTS => '[COMMENTS]',</i><br />
<i> AUTO_DROP => FALSE,</i><br />
<i> ENABLES => TRUE);</i><br />
<i>END;</i><br />
<i><br /></i>
In this way you can distribute job across RAC instances using job classes and services.<br />
<i><br /></i>
<i><br /></i>
<br />
<br />OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-29420586927694218792013-06-18T15:54:00.002-04:002013-06-18T15:54:08.761-04:00-- Oracle Materialized Views real case Performance Improvements --Recently I got pulled into a case where our customer was complaining that Materialized Views were taking too long to refresh, upon research I found the following:<br />
<br />
<br />
<ul>
<li>Materialized Views are located on the same server as the source tables.</li>
<li>They use the Materialized views to do joins of tables and views for reporting purposes.</li>
<li>They have an Active Data Guard Database on the DR Data Center.</li>
<li>They created 3 refresh groups in an attempt to improve performance</li>
<li>They are not using the scheduler but DBA_JOBS.</li>
<li>They do complete refresh every 2 hours.</li>
<li>Their database is a 3 node RAC cluster.</li>
</ul>
<div>
These were my recommendations:</div>
<div>
<br /></div>
<div>
<ul>
<li>Do you really need Materialized views, or a view using the proper partitioning and parallel query will do the job, never underestimate the power of Parallel Query using partitioned tables and having the right indexes in place.</li>
<li>Use your Active Data Guard (ADG) for reporting purposes.</li>
<li>Favor Fast Refresh over Complete refresh.</li>
<li>Use the Oracle Scheduler rather than DBA_JOBS.</li>
<li>Use node affinity so you do not tax a single server consuming a bunch of resources during the refresh.</li>
</ul>
<div>
I know this is just common sense, but I though about share it with you as there may be some other people having similar issues.</div>
<div>
<br /></div>
</div>
<div>
<br /></div>
OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-58564676107035640232013-03-04T16:04:00.001-05:002013-03-04T16:04:07.451-05:00-- Oracle 11g SQL Plan Management (SPM) --<h2>
What is SQL Plan Management (SPM)</h2>
A big part of the performance of an application depends on its query execution, for the most part the Oracle Optimizer does a fair job without human intervention, however problems may arise for many reasons, until now there has not been guarantee that a plan execution will always change for better, many people have opted to use stored outlines (freeze execution plans) or lock their optimizer statistics, however the risk her is that you may be as well avoiding a more optimal execution plan. <br />
<br />
SQL Plan Management provides a framework for completely transparently controlled execution plan evolution. It is a mechanism that records and evaluates your SQL plans over time and creates SQL Plan baselines which is composed by a group of plans known to be efficient. The idea is to use this as a preventive method to preserve the performance of SQL statements. With SPM the optimizer automatically managed execution plans and ensures that only known or verified plans are used. In other words when a new plan is found for a SQL Statement, it will not be used until it has been verified by the database to have comparable or better performance than the current plan.<br />
<br />
Let me explain that better, to produce this guarantee only accepted (trusted) execution plans will be used; any plan evolution will be tracked and evaluated at a later point in time and only accepted as verified if the new plan causes no runtime change or an improvement of the runtime.<br />
<br />
The main advantages of SPM is that it minimizes potential performance regressions that may occur due to event such as new deployments or upgrades. <br />
<br />
<h2>
SPM Components</h2>
<h4>
<b><span style="font-weight: normal;">A)</span> SQL Plan Baseline Capture</b></h4>
Process of creating SQL plan baselines that represent accepted executions plans for all relevant SQL statements. For it to work you must seed the SQL management base with the execution plans, which will become the new SQL plan baseline. There are 2 ways to achieve this<br />
<br />
<ul><ul>
<li><b> A.1 - Automatic Plan Capture: </b>Automatic plan capture can be switched on by setting the parameter OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES to TRUE (<i>The default value is false</i>), once enabled the SPM repository will be populated with any repeatable SQL statement.</li>
<li><b>A.2 - Bulk load execution plans: </b>This is specially useful when a database upgraded from previous a version of Oracle to 11g, or for new deployments. You can use achieve this in three different ways.</li>
<ul>
<li><b>A.2.1 - Using SQL Tuning Sets (STS): </b>Capture the plan for a workload into a STS, then load the plan into the SQL Management Base as SQL Plan baslines using the PL/SQL Procedure DBMS_SPM.LOAD_PLANS_FROM_SQLSET. These are the steps to follow for this approach</li>
<ul>
<li>Create a STS that contain the execution plan for each of the SQL Statements.</li>
<li>Load the STS into a staging table and export the staging table into a flat file.</li>
<li>import the staging table from a flat file into the Database and unload the STS.</li>
<li>Use DBMS_SPM.LOAD_PLANS_FROM_SQLSET to load the execution plans into the SQL Management base.</li>
</ul>
<li><b>A.2.2 - Using the plan in the Cursor Cache: </b>Identify the SQL Statements you wish to capture and load them using the procedure DBMS_SPM.LOAD_PLANS_FROM_CURSOR_CACHE.</li>
<li><b>A.2.3 - Unpack existing SQL plan baselines from as staging table: </b> If an application is developed in house, you can export a good plan from the test system into production using the following procedure.</li>
<ul>
<li>Create a staging table using the DBMS_SPM.CREATE_STGTAB_BASELINE procedure.</li>
<li>Pack the plan beselines you want to export into the table using DBMS_SPM.PACK_STGTAB_BASLINE function.</li>
<li>Export the staging table into a flat using the export command or data pump.</li>
<li>Transfer this flat file to the target system. </li>
<li>Import the staging table from the flat file using the import command or data pump</li>
<li>Unpack the SQL plan baselines from the staging table into the SQL Management base using the DBMS_SPM.UNPACK_STGTAB_BASELINE function.</li>
</ul>
</ul>
</ul>
</ul>
<h4>
<b><span style="font-weight: normal;"><b>B) SQL Plan Baseline selection</b></span></b></h4>
<h4>
<span style="font-weight: normal;">Process of ensuring that only accepted execution plans are used for statements with a SQL Plan baseline</span> <span style="font-weight: normal;">and track all new executions in the plan history for a particular statement. Each time a SQL Statement gets compiled, the optimizer uses the traditional cost-based search method to build the best cost plan. Having the initialization parameter OPTIMIZER_USE_PLAN_BESELINES is set to TRUE <i>(Default value) </i>the optimizer will try to find a matching plan in the SQL Plan baselines. If a match if found then it is used, if not the newly generated plan will be added to the plan history; it will have to be verified before it can be accepted as a SQL Plan baseline. Instead of executing the new plan the optimizer will cost each of the accepted plans for the SQL statement and pick the one with the lower cost.</span></h4>
<h4>
C) SQL Plan Baseline evolution</h4>
<h4>
<span style="font-weight: normal;">Process of evaluating all unverified executions plans for a given statement in the plan history to be come either accepted or rejected. When a new plan if found, it is added to the plan history as a non-accepted plan that needs to be verified. it is possible to evolve a SQL statement execution plan using DBMS_SPM.EVOLVE_SQL_PLAN_BASELINE using either of the following methods</span></h4>
<h4>
<span style="font-weight: normal;"> - Accept the plan only if it performs better than the existing SQL plan baselines.</span></h4>
<h4>
<span style="font-weight: normal;"> - Accept the plan without doing performance verification</span></h4>
<h4>
<span style="font-weight: normal;"> - Run the performance comparison and generate a report without evolving the new plan. </span></h4>
<b>NOTE:</b> The plan history includes all accepted and unaccepted plans, An unaccepted plan can be unverified (newly found but not verified) or rejected (verified but not found to be a performer ). The Plan baselines are stored in the plan history in the SQL Management base in the SYSAUX tablespace. It is possible to influence the optimizer's choice of plan by marking a SQL Plan as fixed, Fixed SQL plans baselines tells the optimizer that they are preferred. <br />
<h2>
How to Enable / Disable SQL Plan Management tracing</h2>
You can enable tracing by executing the command below connected as a DBA. This will enable traces for all SPM session which will be located in <diagnostic_dest>/diag/rdbms/<dbname>/<instname>/trace/</instname></dbname></diagnostic_dest><br />
<br />
<br />
<table border="1">
<tbody>
<tr>
<td><span style="color: #38761d;">exec dbms_spm.configure('spm_tracing',1);</span></td>
</tr>
</tbody></table>
<br />
The following command will disable the tracing.<br />
<br />
<table border="1">
<tbody>
<tr>
<td><span style="color: #38761d;">exec dbms_spm.configure('spm_tracing',0);</span></td>
</tr>
</tbody></table>
<br />
You can verify if tracing is enable or disables by executing the following command<br />
<br />
<table border="1">
<tbody>
<tr>
<td><span style="color: #38761d;">SELECT parameter_name, parameter_value </span><br />
<span style="color: #38761d;">FROM sys.smb$config WHERE parameter_name='SPM_TRACING';</span></td>
</tr>
</tbody></table>
<br />
In addition you can also enable tracing at the session level as follow<br />
<br />
<table border="1">
<tbody>
<tr>
<td><span style="color: #38761d;">alter session set events 'trace [sql_planmanagement.*]';</span></td>
</tr>
</tbody></table>
<br />
<br />OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-43511561751738192062012-10-25T15:58:00.000-04:002012-10-25T15:58:04.632-04:00-- Basic knowledge about some Network Artifacts --<span style="font-family: Arial, Helvetica, sans-serif;">As it had happened to any other DBAs out there, our roles have been evolving and mine hasn't been the exception. I recently have been more involved with Network architectures, I am sharing this information with you hoping that it can be useful.</span><br />
<br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;"><b>VIP (Virtual IP): </b>It is an IP that is not bound to a single physical interface.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;"><b>LB (Load Balancer): </b>Artifact that allows you to share network requests (following some algorithm) across multiple resources.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;"><b>GSLB (Global Server Load Balancing): </b>Allows you to route network traffic to multiple locations. It's main objective is to route your connection to the most efficient server available to you. </span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;"><b>GSS (Global Site Selector): </b>This is a Cisco GSLB Product.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;"><b>GTM (Global Traffic Manager): </b>This is a F5 GSLB Product.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<br />
<span style="font-family: Arial, Helvetica, sans-serif;"><b>Broadcast: </b>When you need to have more than two nodes see the traffic on the same subnet.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /><b>Unicast: </b><span 14px="14px" 18px="18px" arial="arial" ejavu="ejavu" font-family:="font-family:" font-size:="font-size:" iberation="iberation" line-height:="line-height:" sans-serif="sans-serif" sans="sans">Unicast is used when two network nodes need to talk to each other.</span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /><b>Anycast: </b>With <span 0px="0px" 14px="14px" 18px="18px" arial="arial" baseline="baseline" border:="border:" ejavu="ejavu" font-family:="font-family:" font-size:="font-size:" iberation="iberation" line-height:="line-height:" margin:="margin:" padding:="padding:" sans-serif="sans-serif" sans="sans" vertical-align:="vertical-align:">anycast</span><span 14px="14px" 18px="18px" arial="arial" ejavu="ejavu" font-family:="font-family:" font-size:="font-size:" iberation="iberation" line-height:="line-height:" sans-serif="sans-serif" sans="sans"> you advertise the same network in multiple spots of the Internet, and rely on shortest-path calculations to funnel clients to your multiple locations. As far the network nodes themselves are concerned, they're using a </span><span 0px="0px" 14px="14px" 18px="18px" arial="arial" baseline="baseline" border:="border:" ejavu="ejavu" font-family:="font-family:" font-size:="font-size:" iberation="iberation" line-height:="line-height:" margin:="margin:" padding:="padding:" sans-serif="sans-serif" sans="sans" vertical-align:="vertical-align:">unicast</span><span 14px="14px" 18px="18px" arial="arial" ejavu="ejavu" font-family:="font-family:" font-size:="font-size:" iberation="iberation" line-height:="line-height:" sans-serif="sans-serif" sans="sans"> connection to talk to your nodes</span></span><br />
<br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;"><b>Multicast: I</b><span 14px="14px" 18px="18px" arial="arial" ejavu="ejavu" font-family:="font-family:" font-size:="font-size:" iberation="iberation" line-height:="line-height:" sans-serif="sans-serif" sans="sans">s like a broadcast that can cross subnets, but unlike broadcast does not touch all nodes. Nodes have to subscribe to a multicast group to receive information.</span></span><br />
<span 14px="14px" 18px="18px" arial="arial" ejavu="ejavu" font-family:="font-family:" font-size:="font-size:" iberation="iberation" line-height:="line-height:" sans-serif="sans-serif" sans="sans" style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<br />
<br />
<pre>------------------------------------------------------------
| <b>TYPE | ASSOCIATIONS | SCOPE | EXAMPLE</b> |
------------------------------------------------------------
| Unicast | 1 to 1 | Whole network | HTTP |
------------------------------------------------------------
| Broadcast | 1 to Many | Subnet | ARP |
------------------------------------------------------------
| Multicast | One/Many to Many | Defined horizon | SLP |
------------------------------------------------------------
| Anycast | Many to Few | Whole network | 6to4 |
------------------------------------------------------------</pre>
OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0tag:blogger.com,1999:blog-67358174266399329.post-81816342531229461902012-10-25T14:42:00.000-04:002012-10-25T14:54:21.129-04:00Developers vs. DBAs who will win the battle?<span style="font-size: small;">In the last 9 months I have been involved in several battles with the development group, and before I continue let me be clear DBAs are humans and we do mistakes. I have tried several approaches to those issues, but only 1 has provided me the satisfaction and the benefits expected.<br /><br /><span style="font-weight: bold;">"A natural approach is to say, I didn't do anything, the problem is not in the database, it is in your code, and it is not my business since I am not a developer. "<br /><br /><span style="font-weight: bold;"></span></span>As a DBA we tent to think this way. "I did not change anything in the database, I see no errors in the alert.log therefore is not my problem. "<br /><br />My question is, for how long are we going to say the same, over and over, even that is technically true. I lose a tremendous amount of time in useless RCA meetings (Root Cause Analysis) where everybody points the finger to everybody else, and people worry more about who to blame it to, instead of how are we going to get it fix for good and avoid future recurrences.<br /><br />Let me be clear, <span style="font-weight: bold;">"No one in a organization, DBA nor Developers wants for outages or problems to happen"</span>, if there were no problems, we will have no jobs, therefore problems will happen, Focus on learning from the problems and avoid them in the future.<br /><br />The approach that has worked for me, and have provided the satisfaction and the benefits expected is to research about where is the problem, even that it may not database related. Yes don't be afraid to put your nose into somebody's else business (I know it does not sound right but you know what I mean with it ;-) ), you are getting affected so they need to understand clearly your interest.<br /><br />In the past I have found that some of the problems are:<br /><br />- The developers are been push by the project managers into meeting unrealistic and <br /> unnecessary deadlines, and they sacrifice quality for meeting the deadline, in other words<br /> if it works is good enough, I don't care the resources it will consume or how long will take to<br /> run.<br /><br />- Very inefficient spaghetti code produced for a constant change in the scope of the project.<br /><br />- Lack of coding standards, and in this case the DBA produced coding standards for them and<br /> the DBA is the watcher that those standards are met. (Yes, I know it is not in our job<br /> description, but it works).<br /><br />- The developer does not know how to code, they just know a reduced set of instructions and<br /> try to program with whatever they know, therefore producing tons on inefficient code. For<br /> this case we are providing the developers with a database architecture workshop and a SQL<br /> and SQL tuning workshop. In other words I have to help them so they can help me. (Yes,<br /> another one that is not in your job description).<br /><br /><b>Conclusion:</b> Don't be afraid to think out of the box, rather than complaining about the problems<br /> try to find out where are the problems (even if they are outside your<br /> boundaries) and try to be part of the solution.<br /><br /><br /><br /><br /><br /><br /><br /><span style="font-weight: bold;"><br /></span></span>OraProfessionalshttp://www.blogger.com/profile/08294268250351415794noreply@blogger.com0