database queries - Page 440

Store a formula in a table and use the formula in a javascript/PHP function

- by Muhaimin Abdul

I have a MySql database where part of it handles instrument's depth of water. Each instrument has its own formula of calculation how depth the water when the operator collect the reading I stored the formula for each instrument in database/MySql. Example formula: [55-57] this is the simple minus operation, where the number is actually represent the id of a row. How do I represent those number with id of a row and later convert it to javascript readable code. I simply want to do keyup event where everytime user key in something into text field then the other part of HTML would reflect changes based on formula that I fetched from database FYI, I'm using BackboneJS together with RequireJS

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Oracle apresenta resultados do ano

- by pfolgado

A Oracle acabou de apresentar os resultados do 4º trimestre e do ano fiscal FY11. Os resultados mais relevantes são: Receitas de Vendas cresceram 33%, atingindo um total de 35,6 mil milhões de dólares Vendas de Novas licenças cresceram 23% Receitas de Hardware de 4,4 mil milhões de dólares Resultados operacionais cresceram 39% Resultados por acção de cresceram 38% para 1,67 dólares “In Q4, we achieved a 19% new software license growth rate with almost no help from acquisitions,” said Oracle President and CFO, Safra Catz. “This strong organic growth combined with continuously improving operational efficiencies enabled us to deliver a 48% operating margin in the quarter. As our results reflect, we clearly exceeded even our own high expectations for Sun’s business.” “In addition to record setting software sales, our Exadata and Exalogic systems also made a strong contribution to our growth in Q4,” said Oracle President, Mark Hurd. “Today there are more than 1,000 Exadata machines installed worldwide. Our goal is to triple that number in FY12.” “In FY11 Oracle’s database business experienced its fastest growth in a decade,” said Oracle CEO, Larry Ellison. “Over the past few years we added features to the Oracle database for both cloud computing and in-memory databases that led to increased database sales this past year. Lately we’ve been focused on the big business opportunity presented by Big Data.” Oracle Reports Q4 GAAP EPS Up 34% To 62 Cents; Q4 NON-GAAP EPS Up 25% To 75 Cents Q4 Software New License Sales Up 19%, Q4 Total Revenue Up 13% Oracle today announced fiscal 2011 Q4 GAAP total revenues were up 13% to $10.8 billion, while non-GAAP total revenues were up 12% to $10.8 billion. Both GAAP and non-GAAP new software license revenues were up 19% to $3.7 billion. Both GAAP and non-GAAP software license updates and product support revenues were up 15% to $4.0 billion. Both GAAP and non-GAAP hardware systems products revenues were down 6% to $1.2 billion. GAAP operating income was up 32% to $4.4 billion, and GAAP operating margin was 40%. Non-GAAP operating income was up 19% to $5.2 billion, and non-GAAP operating margin was 48%. GAAP net income was up 36% to $3.2 billion, while non-GAAP net income was up 27% to $3.9 billion. GAAP earnings per share were $0.62, up 34% compared to last year while non-GAAP earnings per share were up 25% to $0.75. GAAP operating cash flow on a trailing twelve-month basis was $11.2 billion. For fiscal year 2011, GAAP total revenues were up 33% to $35.6 billion, while non-GAAP total revenues were up 33% to $35.9 billion. Both GAAP and non-GAAP new software license revenues were up 23% to $9.2 billion. GAAP software license updates and product support revenues were up 13% to $14.8 billion, while non-GAAP software license updates and product support revenues were up 13% to $14.9 billion. Both GAAP and non-GAAP hardware systems products revenues were $4.4 billion. GAAP operating income was up 33% to $12.0 billion, and GAAP operating margin was 34%. Non-GAAP operating income was up 27% to $15.9 billion, and non-GAAP operating margin was 44%. GAAP net income was up 39% to $8.5 billion, while non-GAAP net income was up 34% to $11.4 billion. GAAP earnings per share were $1.67, up 38% compared to last year while non-GAAP earnings per share were up 33% to $2.22. “In Q4, we achieved a 19% new software license growth rate with almost no help from acquisitions,” said Oracle President and CFO, Safra Catz. “This strong organic growth combined with continuously improving operational efficiencies enabled us to deliver a 48% operating margin in the quarter. As our results reflect, we clearly exceeded even our own high expectations for Sun’s business.” “In addition to record setting software sales, our Exadata and Exalogic systems also made a strong contribution to our growth in Q4,” said Oracle President, Mark Hurd. “Today there are more than 1,000 Exadata machines installed worldwide. Our goal is to triple that number in FY12.” “In FY11 Oracle’s database business experienced its fastest growth in a decade,” said Oracle CEO, Larry Ellison. “Over the past few years we added features to the Oracle database for both cloud computing and in-memory databases that led to increased database sales this past year. Lately we’ve been focused on the big business opportunity presented by Big Data.” In addition, Oracle also announced that its Board of Directors declared a quarterly cash dividend of $0.06 per share of outstanding common stock. This dividend will be paid to stockholders of record as of the close of business on July 13, 2011, with a payment date of August 3, 2011.

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Big Data – Data Mining with Hive – What is Hive? – What is HiveQL (HQL)? – Day 15 of 21

- by Pinal Dave

In yesterday’s blog post we learned the importance of the operational database in Big Data Story. In this article we will understand what is Hive and HQL in Big Data Story. Yahoo started working on PIG (we will understand that in the next blog post) for their application deployment on Hadoop. The goal of Yahoo to manage their unstructured data. Similarly Facebook started deploying their warehouse solutions on Hadoop which has resulted in HIVE. The reason for going with HIVE is because the traditional warehousing solutions are getting very expensive. What is HIVE? Hive is a datawarehouseing infrastructure for Hadoop. The primary responsibility is to provide data summarization, query and analysis. It supports analysis of large datasets stored in Hadoop’s HDFS as well as on the Amazon S3 filesystem. The best part of HIVE is that it supports SQL-Like access to structured data which is known as HiveQL (or HQL) as well as big data analysis with the help of MapReduce. Hive is not built to get a quick response to queries but it it is built for data mining applications. Data mining applications can take from several minutes to several hours to analysis the data and HIVE is primarily used there. HIVE Organization The data are organized in three different formats in HIVE. Tables: They are very similar to RDBMS tables and contains rows and tables. Hive is just layered over the Hadoop File System (HDFS), hence tables are directly mapped to directories of the filesystems. It also supports tables stored in other native file systems. Partitions: Hive tables can have more than one partition. They are mapped to subdirectories and file systems as well. Buckets: In Hive data may be divided into buckets. Buckets are stored as files in partition in the underlying file system. Hive also has metastore which stores all the metadata. It is a relational database containing various information related to Hive Schema (column types, owners, key-value data, statistics etc.). We can use MySQL database over here. What is HiveSQL (HQL)? Hive query language provides the basic SQL like operations. Here are few of the tasks which HQL can do easily. Create and manage tables and partitions Support various Relational, Arithmetic and Logical Operators Evaluate functions Download the contents of a table to a local directory or result of queries to HDFS directory Here is the example of the HQL Query: SELECT upper(name), salesprice FROM sales; SELECT category, count(1) FROM products GROUP BY category; When you look at the above query, you can see they are very similar to SQL like queries. Tomorrow In tomorrow’s blog post we will discuss about very important components of the Big Data Ecosystem – Pig. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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Getting Started with StreamInsight 2.1

- by Roman Schindlauer

If you're just beginning to get familiar with StreamInsight, you may be looking for a way to get started. What are the basics? How can I get my first StreamInsight application running so I can see how it works? Where is the 'front door' that will get me going? If that describes you, then this blog entry might be just what you need. If you're already a StreamInsight wiz, keep reading anyway - you may find some helpful links here that you weren't aware of. But here's what we'd like from you experienced readers in particular: if you know of other good resources that we missed, please feel free to add them in the comments below. We appreciate you sharing your expertise. The Book The basic documentation for StreamInsight is located in the MSDN Library (Microsoft StreamInsight 2.1). You'll notice that previous versions of StreamInsight are still there (1.2 and 2.0), but if you're just getting started you can stick to the 2.1 section. The documentation has been organized to function as reference material, which is fine after you're familiar with the technology. But if you're trying to learn the basics, you might want to take a different path instead of just starting at the top. The following is one map you can use. What Is StreamInsight? Here is a sequence of topics that should give you a good overview of what StreamInsight is and how it works: Overview answers the question, "what is it?" StreamInsight Server Architecture gives you a quick look at a high-level architectural drawing StreamInsight Concepts lays out an overview of the basic components Deploying StreamInsight Entities to a StreamInsight Server describes the mechanics of how these components work together Getting an Example Running Once you have this background, go ahead and install StreamInsight and get a basic example up and running: Installation download and install the software StreamInsight Examples walk through a set of 3 simple StreamInsight applications that work together to demonstrate what you learned in the topics above; you can copy and paste the code into Visual Studio, compile, and run That's it - you now have a real, functioning StreamInsight system! Now that you have a handle on the basics, you might want to start digging deeper. Digging Deeper Here's a suggested path through the documentation to help you understand the next layer of StreamInsight technologies: Using Event Sources and Event Sinks sources supply data and sinks consume it; this topic gives you an overview of how they work Publishing and Connecting to the StreamInsight Server practical details on how to set up a StreamInsight server A Hitchhiker’s Guide to StreamInsight 2.1 Queries queries are the heart of how StreamInsight performs data analytics, and this whitepaper will help you really understand how they work Using StreamInsight LINQ root through this section for technical details on specific query components Using the StreamInsight Event Flow Debugger in addition to troubleshooting, the debugger is a great way to learn more about what goes on inside a StreamInsight application And Even Deeper Finally, to get a handle on some of the more complex things you can do with StreamInsight, dig into these: Input and Output Adapters adapters can be useful for handling more complex sources and sinks Building Resilient StreamInsight Applications a resilient application is able to recover from system failures Operations this section will help you monitor and troubleshoot a running StreamInsight system The StreamInsight Community As you're designing and developing your StreamInsight solutions, you probably will find it helpful to see working examples or to learn tips and tricks from others. Or maybe you need a place to post a vexing question. Here are some community resources that we have found useful. If you know of others, please add them in the comments below. Code samples and tools Official StreamInsight code samples Introduction to LinqPad Driver for StreamInsight 2.1 - LinqPad is a very useful tool for developing queries The following case studies are based on earlier versions of StreamInsight, but they still are useful examples: Microsoft Media Analytics - real-time monitoring and analytic Edgenet - responding to information from multiple source ICONICS - managing energy usage Blogs Microsoft StreamInsight Ruminations of J.net Richard Seroter's Architecture Musings pluralsight Forums MSDN StreamInsight Forum stackoverflow Training Microsoft StreamInsight Fundamentals (“Introducing StreamInsight” is free) from pluralsight Twitter @streaminsight You’re a StreamInsight Expert That should get you going. Please add any other resources you have found useful in the comments below. Regards, The StreamInsight Team

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Looking under the hood of SSRS

- by Jim Giercyk

SSRS is a powerful tool, but there is very little available to measure it’s performance or view the SSRS execution log or catalog in detail. Here are a few simple queries that will give you insight to the system that you never had before. ACTIVE REPORTS: Have you ever seen your SQL Server performance take a nose dive due to a long-running report? If the SPID is executing under a generic Report ID, or it is a scheduled job, you may have no way to tell which report is killing your server. Running this query will show you which reports are executing at a given time, and WHO is executing them. USE ReportServerNative SELECT runningjobs.computername, runningjobs.requestname, runningjobs.startdate, users.username, Datediff(s,runningjobs.startdate, Getdate()) / 60 AS 'Active Minutes' FROM runningjobs INNER JOIN users ON runningjobs.userid = users.userid ORDER BY runningjobs.startdate SSRS CATALOG: We have all asked “What was the last thing that changed”, or better yet, “Who in the world did that!”. Here is a query that will show all of the reports in your SSRS catalog, when they were created and changed, and by who. USE ReportServerNative SELECT DISTINCT catalog.PATH, catalog.name, users.username AS [Created By], catalog.creationdate, users_1.username AS [Modified By], catalog.modifieddate FROM catalog INNER JOIN users ON catalog.createdbyid = users.userid INNER JOIN users AS users_1 ON catalog.modifiedbyid = users_1.userid INNER JOIN executionlogstorage ON catalog.itemid = executionlogstorage.reportid WHERE ( catalog.name <> '' ) SSRS EXECUTION LOG: Sometimes we need to know what was happening on the SSRS report server at a given time in the past. This query will help you do just that. You will need to set the timestart and timeend in the WHERE clause to suit your needs. USE ReportServerNative SELECT catalog.name AS report, executionlogstorage.username AS [User], executionlogstorage.timestart, executionlogstorage.timeend, Datediff(mi,e.timestart,e.timeend) AS ‘Time In Minutes', catalog.modifieddate AS [Report Last Modified], users.username FROM catalog (nolock) INNER JOIN executionlogstorage e (nolock) ON catalog.itemid = executionlogstorage.reportid INNER JOIN users (nolock) ON catalog.modifiedbyid = users.userid WHERE executionlogstorage.timestart >= Dateadd(s, -1, '03/31/2012') AND executionlogstorage.timeend <= Dateadd(DAY, 1, '04/02/2012') LONG RUNNING REPORTS: This query will show the longest running reports over a given time period. Note that the “>5” in the WHERE clause sets the report threshold at 5 minutes, so anything that ran less than 5 minutes will not appear in the result set. Adjust the threshold and start/end times to your liking. With this information in hand, you can better optimize your system by tweaking the longest running reports first. USE ReportServerNative SELECT executionlogstorage.instancename, catalog.PATH, catalog.name, executionlogstorage.username, executionlogstorage.timestart, executionlogstorage.timeend, Datediff(mi, e.timestart, e.timeend) AS 'Minutes', executionlogstorage.timedataretrieval, executionlogstorage.timeprocessing, executionlogstorage.timerendering, executionlogstorage.[RowCount], users_1.username AS createdby, CONVERT(VARCHAR(10), catalog.creationdate, 101) AS 'Creation Date', users.username AS modifiedby, CONVERT(VARCHAR(10), catalog.modifieddate, 101) AS 'Modified Date' FROM executionlogstorage e INNER JOIN catalog ON executionlogstorage.reportid = catalog.itemid INNER JOIN users ON catalog.modifiedbyid = users.userid INNER JOIN users AS users_1 ON catalog.createdbyid = users_1.userid WHERE ( e.timestart > '03/31/2012' ) AND ( e.timestart <= '04/02/2012' ) AND Datediff(mi, e.timestart, e.timeend) > 5 AND catalog.name <> '' ORDER BY 'Minutes' DESC I have used these queries to build SSRS reports that I can refer to quickly, and export to Excel if I need to report or quantify my findings. I encourage you to look at the data in the ReportServerNative database on your report server to understand the queries and create some of your own. For instance, you may want a query to determine which reports are using which shared data sources. Work smarter, not harder!

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Getting a handle on mobile data

- by Eric Jensen

Normal 0 false false false EN-US X-NONE X-NONE /* 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-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} written by Ashok Joshi The proliferation of mobile devices in the corporate world is both a blessing as well as a challenge. Mobile devices improve productivity and the velocity of business for the end users; on the other hand, IT departments need to manage the corporate data and applications that run on these devices. Oracle Database Mobile Server (DMS for short) provides a simple and effective way to deal with the management challenge. DMS supports data synchronization between a central Oracle database server and data on mobile devices. It also provides authentication, encryption and application and device management. Finally, DMS is a highly scalable solution that can be used to manage hundreds of thousands of devices. Here’s a simplified outline of how such a solution might work. Each device runs local sync and mgmt agents that handle bidirectional data flow with an Oracle enterprise backend, run remote commands, and provide status to the management console. For example, mobile admins could monitor multiple networks of mobile devices, upgrade their software remotely, and even destroy the local database on a compromised device. DMS supports either Oracle Berkeley DB or SQLite for device-local storage, and runs on a wide variety of mobile platforms. The schema for the device-local database is pretty simple – it contains the name of the application that’s installed on the device as well as details such as product name, version number, time of last access etc. Each mobile user has an account on the monitoring system. DMS supports authentication via the Oracle database authentication mechanisms or alternately, via an external authentication server such as Oracle Identity Management. DMS also provides the option of encrypting the data on disk as well as while it is being synchronized. Whenever a device connects with DMS, it sends the list of all local application changes to the server; the server updates the central repository with this information. Synchronization can be triggered on-demand, whenever there’s a change on the device (e.g. new application installed or an existing application removed) or via a rule-based schedule (e.g. every Saturday). Synchronization is very fast and efficient, since only the changes are propagated. This includes resume capability; should synchronization be interrupted for any reason, the next synchronization will resume where the previous synchronization was interrupted. If the device should be lost or stolen, DMS has the capability to remove the applications and/or data from the device. This ability to control access to sensitive data and applications is critical in the corporate environment. The central repository also allows the IT manager to track the kinds of applications that mobile users use and recommend patches and upgrades, while still allowing the mobile user full control over what applications s/he downloads and uses on the device. This is useful since most devices are used for corporate as well as personal information. In certain restricted use scenarios, the IT manager can also control whether a certain application can be installed on a mobile device. Should an unapproved application be installed, it can easily be removed the next time the device connects with the central server. Oracle Database mobile server provides a simple, effective and highly secure and scalable solution for managing the data and applications for the mobile workforce.

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Announcement Oracle Solaris 11.1 Availability!

- by uwes

On 25th of October Oracle announced the availability of Oracle Solaris 11.1. Highlights include: 8x faster database startup and shutdown and online resizing of the database SGA with a new optimized shared memory interface between the database and Oracle Solaris 11.1 Up to 20% throughput increases for Oracle Real Application Clusters by offloading lock management into the Oracle Solaris kernel Expanded support for Software Defined Networks (SDN) with Edge Virtual Bridging enhancements to maximize network resource utilization and manage bandwidth in cloud environments 4x faster Solaris Zone updates with parallel operations shorten maintenance windows New built-in memory predictor monitors application memory use and provides optimized memory page sizes and resource location to speed overall application performance. More information could be found under the following links: Oracle Solaris 11.1 Data Sheet What's New in Oracle Solaris 11.1 Oracle Solaris 11.1 FAQs Oracle.com Oracle Solaris page Oracle Technology Network Oracle Solaris page Resources for downloading: Download Solaris 11.1 Order Solaris 11.1 media kit Existing customers can quickly and simply update using the network based repository

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Latest Edition of Security Inside Out Newsletter Now Available

- by Troy Kitch

The latest edition of Security Inside Out newsletter is now available. If you don't get this bi-monthly security newsletter in your inbox, then subscribe to get the latest database security news. This bi-monthly edition includes: Q&A: Oracle CSO Mary Ann Davidson on Meeting Tomorrow's Security Threats Oracle Chief Security Officer Mary Ann Davidson shares her thoughts on next-generation security threats. Read More New Study: Increased Security Spending Still Not Protecting Right Assets Despite widespread belief that database breaches represent the greatest security risk to their business, organizations continue to devote a far greater share of their security resources to network assets rather than database assets, according to a new report issued by CSO and sponsored by Oracle. Read More

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Technology Fórum eloadások

- by Lajos Sárecz

Ma délelott lezajlott az Oracle Technology Fórum rendezvény. A Database szekcióban Tóth Csaba tartotta a nyitó eloadást, melyben az IT költségek csökkentési lehetoségeirol beszélt Oracle Database 11g felhasználásával. Ot követoen én beszéltem az Oracle Enterprise Manager által kínált extrém menedzsment képességekrol, amely ma már nem csak adatbázis menedzsmentet jelent, hanem a teljes alkalmazás infrastruktúra üzemeltetésre koncentrál, kiemelt figyelmet fordítva az üzlet valós kiszolgálására. Szünet elott még Mosolygó Feri tartott egy eloadást az adatbázis-kezelo és a felho kapcsolatáról, majd szünet után Fekete Zoltán folytatta a Database Machine bemutatásával. Zoli után ismét Mosolygó Feri tartott eloadást ezúttal az adatbázis biztonságról, majd én zártam a napot a kockázatmentes változáskezelés témával.

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SQL SERVER – Puzzle #1 – Querying Pattern Ranges and Wild Cards

- by Pinal Dave

Note: Read at the end of the blog post how you can get five Joes 2 Pros Book #1 and a surprise gift. I have been blogging for almost 7 years and every other day I receive questions about Querying Pattern Ranges. The most common way to solve the problem is to use Wild Cards. However, not everyone knows how to use wild card properly. SQL Queries 2012 Joes 2 Pros Volume 1 – The SQL Queries 2012 Hands-On Tutorial for Beginners Book On Amazon | Book On Flipkart Learn SQL Server get all the five parts combo kit Kit on Amazon | Kit on Flipkart Many people know wildcards are great for finding patterns in character data. There are also some special sequences with wildcards that can give you even more power. This series from SQL Queries 2012 Joes 2 Pros® Volume 1 will show you some of these cool tricks. All supporting files are available with a free download from the www.Joes2Pros.com web site. This example is from the SQL 2012 series Volume 1 in the file SQLQueries2012Vol1Chapter2.2Setup.sql. If you need help setting up then look in the “Free Videos” section on Joes2Pros under “Getting Started” called “How to install your labs” Querying Pattern Ranges The % wildcard character represents any number of characters of any length. Let’s find all first names that end in the letter ‘A’. By using the percentage ‘%’ sign with the letter ‘A’, we achieve this goal using the code sample below: SELECT * FROM Employee WHERE FirstName LIKE '%A' To find all FirstName values beginning with the letters ‘A’ or ‘B’ we can use two predicates in our WHERE clause, by separating them with the OR statement. Finding names beginning with an ‘A’ or ‘B’ is easy and this works fine until we want a larger range of letters as in the example below for ‘A’ thru ‘K’: SELECT * FROM Employee WHERE FirstName LIKE 'A%' OR FirstName LIKE 'B%' OR FirstName LIKE 'C%' OR FirstName LIKE 'D%' OR FirstName LIKE 'E%' OR FirstName LIKE 'F%' OR FirstName LIKE 'G%' OR FirstName LIKE 'H%' OR FirstName LIKE 'I%' OR FirstName LIKE 'J%' OR FirstName LIKE 'K%' The previous query does find FirstName values beginning with the letters ‘A’ thru ‘K’. However, when a query requires a large range of letters, the LIKE operator has an even better option. Since the first letter of the FirstName field can be ‘A’, ‘B’, ‘C’, ‘D’, ‘E’, ‘F’, ‘G’, ‘H’, ‘I’, ‘J’ or ‘K’, simply list all these choices inside a set of square brackets followed by the ‘%’ wildcard, as in the example below: SELECT * FROM Employee WHERE FirstName LIKE '[ABCDEFGHIJK]%' A more elegant example of this technique recognizes that all these letters are in a continuous range, so we really only need to list the first and last letter of the range inside the square brackets, followed by the ‘%’ wildcard allowing for any number of characters after the first letter in the range. Note: A predicate that uses a range will not work with the ‘=’ operator (equals sign). It will neither raise an error, nor produce a result set. --Bad query (will not error or return any records) SELECT * FROM Employee WHERE FirstName = '[A-K]%' Question: You want to find all first names that start with the letters A-M in your Customer table and end with the letter Z. Which SQL code would you use? a. SELECT * FROM Customer WHERE FirstName LIKE 'm%z' b. SELECT * FROM Customer WHERE FirstName LIKE 'a-m%z' c. SELECT * FROM Customer WHERE FirstName LIKE 'a-m%z' d. SELECT * FROM Customer WHERE FirstName LIKE '[a-m]%z' e. SELECT * FROM Customer WHERE FirstName LIKE '[a-m]z%' f. SELECT * FROM Customer WHERE FirstName LIKE '[a-m]%z' g. SELECT * FROM Customer WHERE FirstName LIKE '[a-m]z%' Contest Leave a valid answer before June 18, 2013 in the comment section. 5 winners will be selected from all the valid answers and will receive Joes 2 Pros Book #1. 1 Lucky person will get a surprise gift from Joes 2 Pros. The contest is open for all the countries where Amazon ships the book (USA, UK, Canada, India and many others). Special Note: Read all the options before you provide valid answer as there is a small trick hidden in answers. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Joes 2 Pros, PostADay, SQL, SQL Authority, SQL Puzzle, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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Design review for application facing memory issues

- by Mr Moose

I apologise in advance for the length of this post, but I want to paint an accurate picture of the problems my app is facing and then pose some questions below; I am trying to address some self inflicted design pain that is now leading to my application crashing due to out of memory errors. An abridged description of the problem domain is as follows; The application takes in a “dataset” that consists of numerous text files containing related data An individual text file within the dataset usually contains approx 20 “headers” that contain metadata about the data it contains. It also contains a large tab delimited section containing data that is related to data in one of the other text files contained within the dataset. The number of columns per file is very variable from 2 to 256+ columns. The original application was written to allow users to load a dataset, map certain columns of each of the files which basically indicating key information on the files to show how they are related as well as identify a few expected column names. Once this is done, a validation process takes place to enforce various rules and ensure that all the relationships between the files are valid. Once that is done, the data is imported into a SQL Server database. The database design is an EAV (Entity-Attribute-Value) model used to cater for the variable columns per file. I know EAV has its detractors, but in this case, I feel it was a reasonable choice given the disparate data and variable number of columns submitted in each dataset. The memory problem Given the fact the combined size of all text files was at most about 5 megs, and in an effort to reduce the database transaction time, it was decided to read ALL the data from files into memory and then perform the following; perform all the validation whilst the data was in memory relate it using an object model Start DB transaction and write the key columns row by row, noting the Id of the written row (all tables in the database utilise identity columns), then the Id of the newly written row is applied to all related data Once all related data had been updated with the key information to which it relates, these records are written using SqlBulkCopy. Due to our EAV model, we essentially have; x columns by y rows to write, where x can by 256+ and rows are often into the tens of thousands. Once all the data is written without error (can take several minutes for large datasets), Commit the transaction. The problem now comes from the fact we are now receiving individual files containing over 30 megs of data. In a dataset, we can receive any number of files. We’ve started seen datasets of around 100 megs coming in and I expect it is only going to get bigger from here on in. With files of this size, data can’t even be read into memory without the app falling over, let alone be validated and imported. I anticipate having to modify large chunks of the code to allow validation to occur by parsing files line by line and am not exactly decided on how to handle the import and transactions. Potential improvements I’ve wondered about using GUIDs to relate the data rather than relying on identity fields. This would allow data to be related prior to writing to the database. This would certainly increase the storage required though. Especially in an EAV design. Would you think this is a reasonable thing to try, or do I simply persist with identity fields (natural keys can’t be trusted to be unique across all submitters). Use of staging tables to get data into the database and only performing the transaction to copy data from staging area to actual destination tables. Questions For systems like this that import large quantities of data, how to you go about keeping transactions small. I’ve kept them as small as possible in the current design, but they are still active for several minutes and write hundreds of thousands of records in one transaction. Is there a better solution? The tab delimited data section is read into a DataTable to be viewed in a grid. I don’t need the full functionality of a DataTable, so I suspect it is overkill. Is there anyway to turn off various features of DataTables to make them more lightweight? Are there any other obvious things you would do in this situation to minimise the memory footprint of the application described above? Thanks for your kind attention.

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ASP.NET 4.0 and the Entity Framework 4 - Part 2: Perform CRUD Operations Using the Entity Framework

In this article, Vince demonstrates the usage of the Entity Framework 4 to create, read, update, and delete records in the database which was created in Part 1 of this series. After a short introduction, he discusses the various step involved in the modification of the database, creation of a web form, the selection records to load a drop down list, and the adding, updating, deletion and retrieval of records from the database with the help of relevant source code and screen shots.Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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DBaaS Online Forum - Now available on-demand

- by Javier Puerta

The Database-as-a-Service Online Forum was originally broadcasted on Monday, October 21, 2013, at a US-timezones time. All the content of the forum is now available on-demand for customers and partners to watch and listen to. The content is available on demand here. Watch the on-demand forum to hear from analysts and experts on how companies are beginning to transform with Database as a Service, and learn the prescriptive steps your organization can take to design, deploy, and deliver Database as a Service today Agenda Keynote Carl Olofson, Research VP, IDC Juan Loaiza, Senior Vice President, Oracle Systems Technology Todd Kimbriel, Director, State of Texas, eGovernment Division Eric Zonneveld, Oracle Architect, KPN James Anthony, Technology Director, e-DBA Breakout 1: Design DBaaS Alan Levine, Senior Director, Oracle Enterprise Architects Breakout 2: Deploy DBaaS Michael Timpanaro-Perrotta, Director of Product Management, Oracle Breakout 3: Deliver DBaaS Sudip Datta, Vice President of Product Management, Oracle Closing Session Michelle Malcher, IOUG President Juan Loaiza, Senior Vice President, Oracle Systems Technology

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DBaaS Online Forum - Now available on-demand

- by Javier Puerta

The Database-as-a-Service Online Forum was originally broadcasted on Monday, October 21, 2013, at a US-timezones time. All the content of the forum is now available on-demand for customers and partners to watch and listen to. The content is available on demand here. Watch the on-demand forum to hear from analysts and experts on how companies are beginning to transform with Database as a Service, and learn the prescriptive steps your organization can take to design, deploy, and deliver Database as a Service today Agenda Keynote Carl Olofson, Research VP, IDC Juan Loaiza, Senior Vice President, Oracle Systems Technology Todd Kimbriel, Director, State of Texas, eGovernment Division Eric Zonneveld, Oracle Architect, KPN James Anthony, Technology Director, e-DBA Breakout 1: Design DBaaS Alan Levine, Senior Director, Oracle Enterprise Architects Breakout 2: Deploy DBaaS Michael Timpanaro-Perrotta, Director of Product Management, Oracle Breakout 3: Deliver DBaaS Sudip Datta, Vice President of Product Management, Oracle Closing Session Michelle Malcher, IOUG President Juan Loaiza, Senior Vice President, Oracle Systems Technology

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Tuning Red Gate: #1 of Many

- by Grant Fritchey

Everyone runs into performance issues at some point. Same thing goes for Red Gate software. Some of our internal systems were running into some serious bottlenecks. It just so happens that we have this nice little SQL Server monitoring tool. What if I were to, oh, I don't know, use the monitoring tool to identify the bottlenecks, figure out the causes and then apply a fix (where possible) and then start the whole thing all over again? Just a crazy thought. OK, I was asked to. This is my first time looking through these servers, so here's how I'd go about using SQL Monitor to get a quick health check, sort of like checking the vitals on a patient. First time opening up our internal SQL Monitor instance and I was greeted with this: Oh my. Maybe I need to get our internal guys to read my blog. Anyway, I know that there are two servers where most of the load is. I'll drill down on the first. I'm selecting the server, not the instance, by clicking on the server name. That opens up the Global Overview page for the server. The information here much more applicable to the "oh my gosh, I have a problem now" type of monitoring. But, looking at this, I am seeing something immediately. There are four(4) drives on the system. The C:\ has an average read time of 16.9ms, more than double the others. Is that a problem? Not sure, but it's something I'll look at. It's write time is higher too. I'll keep drilling down, first, to the unclosed alerts on the server. Now things get interesting. SQL Monitor has a number of different types of alerts, some related to error states, others to service status, and then some related to performance. Guess what I'm seeing a bunch of right here: Long running queries and long job durations. If you check the dates, they're all recent, within the last 24 hours. If they had just been old, uncleared alerts, I wouldn't be that concerned. But with all these, all performance related, and all in the last 24 hours, yeah, I'm concerned. At this point, I could just start responding to the Alerts. If I click on one of the the Long-running query alerts, I'll get all kinds of cool data that can help me determine why the query ran long. But, I'm not in a reactive mode here yet. I'm still gathering data, trying to understand how the server works. I have the information that we're generating a lot of performance alerts, let's sock that away for the moment. Instead, I'm going to back up and look at the Global Overview for the SQL Instance. It shows all the databases on the server and their status. Then it shows a number of basic metrics about the SQL Server instance, again for that "what's happening now" view or things. Then, down at the bottom, there is the Top 10 expensive queries list: This is great stuff. And no, not because I can see the top queries for the last 5 minutes, but because I can adjust that out 3 days. Now I can see where some serious pain is occurring over the last few days. Databases have been blocked out to protect the guilty. That's it for the moment. I have enough knowledge of what's going on in the system that I can start to try to figure out why the system is running slowly. But, I want to look a little more at some historical data, to understand better how this server is behaving. More next time.

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SQL Saturday #154 | St.Louis, MO

Sept 15th, 2012 at the CAIT Campus of Washington University in St.Louis - 5 Jackson Avenue, Clayton, MO 63105 SQL Saturday #154 is the very first SQL Saturday event in the St.Louis area. It is a free one day event for SQL Server professionals and those wanting to learn about SQL Server. We are planning on a 4 track event with 200 attendees. We currently have several sessions aligned towards Database Administration, Application Development, Business Intelligence and professional Development Tracks. We also have several sessions focused on SQL Server 2012! Please visit our event website for more details and free registration. Keep your database and application development in syncSQL Connect is a Visual Studio add-in that brings your databases into your solution. It then makes it easy to keep your database in sync, and commit to your existing source control system. Find out more.

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Oracle Security Webcast Slides and Replay now available

- by Alex Blyth

Hi EveryoneThanks for attending the "Oracle Database Security" last week. Slides are available here Oracle Database Security OverviewView more presentations from Oracle Australia. You can download the replay here. Next week's session is on Oracle Application Express. APEX is one of the best kept secrets in the Oracle database and can be used to make very simple apps such as phone directories all the way to complex knowledge base style apps that are driven heavily by data. You can enroll for this session here. Thanks again Cheers Alex

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Using Transaction Logging to Recover Post-Archived Essbase data

- by Keith Rosenthal

Data recovery is typically performed by restoring data from an archive. Data added or removed since the last archive took place can also be recovered by enabling transaction logging in Essbase. Transaction logging works by writing transactions to a log store. The information in the log store can then be recovered by replaying the log store entries in sequence since the last archive took place. The following information is recorded within a transaction log entry: Sequence ID Username Start Time End Time Request Type A request type can be one of the following categories: Calculations, including the default calculation as well as both server and client side calculations Data loads, including data imports as well as data loaded using a load rule Data clears as well as outline resets Locking and sending data from SmartView and the Spreadsheet Add-In. Changes from Planning web forms are also tracked since a lock and send operation occurs during this process. You can use the Display Transactions command in the EAS console or the query database MAXL command to view the transaction log entries. Enabling Transaction Logging Transaction logging can be enabled at the Essbase server, application or database level by adding the TRANSACTIONLOGLOCATION essbase.cfg setting. The following is the TRANSACTIONLOGLOCATION syntax: TRANSACTIONLOGLOCATION [appname [dbname]] LOGLOCATION NATIVE ENABLE | DISABLE Note that you can have multiple TRANSACTIONLOGLOCATION entries in the essbase.cfg file. For example: TRANSACTIONLOGLOCATION Hyperion/trlog NATIVE ENABLE TRANSACTIONLOGLOCATION Sample Hyperion/trlog NATIVE DISABLE The first statement will enable transaction logging for all Essbase applications, and the second statement will disable transaction logging for the Sample application. As a result, transaction logging will be enabled for all applications except the Sample application. A location on a physical disk other than the disk where ARBORPATH or the disk files reside is recommended to optimize overall Essbase performance. Configuring Transaction Log Replay Although transaction log entries are stored based on the LOGLOCATION parameter of the TRANSACTIONLOGLOCATION essbase.cfg setting, copies of data load and rules files are stored in the ARBORPATH/app/appname/dbname/Replay directory to optimize the performance of replaying logged transactions. The default is to archive client data loads, but this configuration setting can be used to archive server data loads (including SQL server data loads) or both client and server data loads. To change the type of data to be archived, add the TRANSACTIONLOGDATALOADARCHIVE configuration setting to the essbase.cfg file. Note that you can have multiple TRANSACTIONLOGDATALOADARCHIVE entries in the essbase.cfg file to adjust settings for individual applications and databases. Replaying the Transaction Log and Transaction Log Security Considerations To replay the transactions, use either the Replay Transactions command in the EAS console or the alter database MAXL command using the replay transactions grammar. Transactions can be replayed either after a specified log time or using a range of transaction sequence IDs. The default when replaying transactions is to use the security settings of the user who originally performed the transaction. However, if that user no longer exists or that user's username was changed, the replay operation will fail. Instead of using the default security setting, add the REPLAYSECURITYOPTION essbase.cfg setting to use the security settings of the administrator who performs the replay operation. REPLAYSECURITYOPTION 2 will explicitly use the security settings of the administrator performing the replay operation. REPLAYSECURITYOPTION 3 will use the administrator security settings if the original user’s security settings cannot be used. Removing Transaction Logs and Archived Replay Data Load and Rules Files Transaction logs and archived replay data load and rules files are not automatically removed and are only removed manually. Since these files can consume a considerable amount of space, the files should be removed on a periodic basis. The transaction logs should be removed one database at a time instead of all databases simultaneously. The data load and rules files associated with the replayed transactions should be removed in chronological order from earliest to latest. In addition, do not remove any data load and rules files with a timestamp later than the timestamp of the most recent archive file. Partitioned Database Considerations For partitioned databases, partition commands such as synchronization commands cannot be replayed. When recovering data, the partition changes must be replayed manually and logged transactions must be replayed in the correct chronological order. If the partitioned database includes any @XREF commands in the calc script, the logged transactions must be selectively replayed in the correct chronological order between the source and target databases. References For additional information, please see the Oracle EPM System Backup and Recovery Guide. For EPM 11.1.2.2, the link is http://docs.oracle.com/cd/E17236_01/epm.1112/epm_backup_recovery_1112200.pdf

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Partner Blog Series: PwC Perspectives - The Gotchas, The Do's and Don'ts for IDM Implementations

- by Tanu Sood

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mso-tstyle-border-bottom-themecolor:accent6; font-family:"Arial Narrow","sans-serif"; mso-ascii-font-family:Georgia; mso-ascii-theme-font:major-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:major-fareast; mso-hansi-font-family:Georgia; mso-hansi-theme-font:major-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:major-bidi;} table.MsoTableMediumList1Accent6LastRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; color:#968C6D; mso-themecolor:text2; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6FirstCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-column; mso-style-priority:65; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6LastCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6OddColumn {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} table.MsoTableMediumList1Accent6OddRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} It is generally accepted among business communities that technology by itself is not a silver bullet to all problems, but when it is combined with leading practices, strategy, careful planning and execution, it can create a recipe for success. This post attempts to highlight some of the best practices along with dos & don’ts that our practice has accumulated over the years in the identity & access management space in general, and also in the context of R2, in particular. Best Practices The following section illustrates the leading practices in “How” to plan, implement and sustain a successful OIM deployment, based on our collective experience. Planning is critical, but often overlooked A common approach to planning an IAM program that we identify with our clients is the three step process involving a current state assessment, a future state roadmap and an executable strategy to get there. It is extremely beneficial for clients to assess their current IAM state, perform gap analysis, document the recommended controls to address the gaps, align future state roadmap to business initiatives and get buy in from all stakeholders involved to improve the chances of success. When designing an enterprise-wide solution, the scalability of the technology must accommodate the future growth of the enterprise and the projected identity transactions over several years. Aligning the implementation schedule of OIM to related information technology projects increases the chances of success. As a baseline, it is recommended to match hardware specifications to the sizing guide for R2 published by Oracle. Adherence to this will help ensure that the hardware used to support OIM will not become a bottleneck as the adoption of new services increases. If your Organization has numerous connected applications that rely on reconciliation to synchronize the access data into OIM, consider hosting dedicated instances to handle reconciliation. Finally, ensure the use of clustered environment for development and have at least three total environments to help facilitate a controlled migration to production. If your Organization is planning to implement role based access control, we recommend performing a role mining exercise and consolidate your enterprise roles to keep them manageable. In addition, many Organizations have multiple approval flows to control access to critical roles, applications and entitlements. If your Organization falls into this category, we highly recommend that you limit the number of approval workflows to a small set. Most Organizations have operations managed across data centers with backend database synchronization, if your Organization falls into this category, ensure that the overall latency between the datacenters when replicating the databases is less than ten milliseconds to ensure that there are no front office performance impacts. Ingredients for a successful implementation During the development phase of your project, there are a number of guidelines that can be followed to help increase the chances for success. Most implementations cannot be completed without the use of customizations. If your implementation requires this, it’s a good practice to perform code reviews to help ensure quality and reduce code bottlenecks related to performance. We have observed at our clients that the development process works best when team members adhere to coding leading practices. Plan for time to correct coding defects and ensure developers are empowered to report their own bugs for maximum transparency. Many organizations struggle with defining a consistent approach to managing logs. This is particularly important due to the amount of information that can be logged by OIM. We recommend Oracle Diagnostics Logging (ODL) as an alternative to be used for logging. ODL allows log files to be formatted in XML for easy parsing and does not require a server restart when the log levels are changed during troubleshooting. Testing is a vital part of any large project, and an OIM R2 implementation is no exception. We suggest that at least one lower environment should use production-like data and connectors. Configurations should match as closely as possible. For example, use secure channels between OIM and target platforms in pre-production environments to test the configurations, the migration processes of certificates, and the additional overhead that encryption could impose. Finally, we ask our clients to perform database backups regularly and before any major change event, such as a patch or migration between environments. In the lowest environments, we recommend to have at least a weekly backup in order to prevent significant loss of time and effort. Similarly, if your organization is using virtual machines for one or more of the environments, it is recommended to take frequent snapshots so that rollbacks can occur in the event of improper configuration. Operate & sustain the solution to derive maximum benefits When migrating OIM R2 to production, it is important to perform certain activities that will help achieve a smoother transition. At our clients, we have seen that splitting the OIM tables into their own tablespaces by categories (physical tables, indexes, etc.) can help manage database growth effectively. If we notice that a client hasn’t enabled the Oracle-recommended indexing in the applicable database, we strongly suggest doing so to improve performance. Additionally, we work with our clients to make sure that the audit level is set to fit the organization’s auditing needs and sometimes even allocate UPA tables and indexes into their own table-space for better maintenance. Finally, many of our clients have set up schedules for reconciliation tables to be archived at regular intervals in order to keep the size of the database(s) reasonable and result in optimal database performance. For our clients that anticipate availability issues with target applications, we strongly encourage the use of the offline provisioning capabilities of OIM R2. This reduces the provisioning process for a given target application dependency on target availability and help avoid broken workflows. To account for this and other abnormalities, we also advocate that OIM’s monitoring controls be configured to alert administrators on any abnormal situations. Within OIM R2, we have begun advising our clients to utilize the ‘profile’ feature to encapsulate multiple commonly requested accounts, roles, and/or entitlements into a single item. By setting up a number of profiles that can be searched for and used, users will spend less time performing the same exact steps for common tasks. We advise our clients to follow the Oracle recommended guides for database and application server tuning which provides a good baseline configuration. It offers guidance on database connection pools, connection timeouts, user interface threads and proper handling of adapters/plug-ins. All of these can be important configurations that will allow faster provisioning and web page response times. Many of our clients have begun to recognize the value of data mining and a remediation process during the initial phases of an implementation (to help ensure high quality data gets loaded) and beyond (to support ongoing maintenance and business-as-usual processes). A successful program always begins with identifying the data elements and assigning a classification level based on criticality, risk, and availability. It should finish by following through with a remediation process. Dos & Don’ts Here are the most common dos and don'ts that we socialize with our clients, derived from our experience implementing the solution. Dos Don’ts Scope the project into phases with realistic goals. Look for quick wins to show success and value to the stake holders. Avoid “boiling the ocean” and trying to integrate all enterprise applications in the first phase. Establish an enterprise ID (universal unique ID across the enterprise) earlier in the program. Avoid major UI customizations that require code changes. Have a plan in place to patch during the project, which helps alleviate any major issues or roadblocks (product and database). Avoid publishing all the target entitlements if you don't anticipate their usage during access request. Assess your current state and prepare a roadmap to address your operations, tactical and strategic goals, align it with your business priorities. Avoid integrating non-production environments with your production target systems. Defer complex integrations to the later phases and take advantage of lessons learned from previous phases Avoid creating multiple accounts for the same user on the same system, if there is an opportunity to do so. Have an identity and access data quality initiative built into your plan to identify and remediate data related issues early on. Avoid creating complex approval workflows that would negative impact productivity and SLAs. Identify the owner of the identity systems with fair IdM knowledge and empower them with authority to make product related decisions. This will help ensure overcome any design hurdles. Avoid creating complex designs that are not sustainable long term and would need major overhaul during upgrades. Shadow your internal or external consulting resources during the implementation to build the necessary product skills needed to operate and sustain the solution. Avoid treating IAM as a point solution and have appropriate level of communication and training plan for the IT and business users alike. Conclusion In our experience, Identity programs will struggle with scope, proper resourcing, and more. We suggest that companies consider the suggestions discussed in this post and leverage them to help enable their identity and access program. This concludes PwC blog series on R2 for the month and we sincerely hope that the information we have shared thus far has been beneficial. For more information or if you have questions, you can reach out to Rex Thexton, Senior Managing Director, PwC and or Dharma Padala, Director, PwC. We look forward to hearing from you. Normal 0 false false false EN-US X-NONE X-NONE /* 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-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0in; line-height:12.0pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial","sans-serif"; mso-ascii-font-family:Arial; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Arial; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Meet the Writers: Dharma Padala is a Director in the Advisory Security practice within PwC. He has been implementing medium to large scale Identity Management solutions across multiple industries including utility, health care, entertainment, retail and financial sectors. Dharma has 14 years of experience in delivering IT solutions out of which he has been implementing Identity Management solutions for the past 8 years. Praveen Krishna is a Manager in the Advisory Security practice within PwC. Over the last decade Praveen has helped clients plan, architect and implement Oracle identity solutions across diverse industries. His experience includes delivering security across diverse topics like network, infrastructure, application and data where he brings a holistic point of view to problem solving. Scott MacDonald is a Director in the Advisory Security practice within PwC. He has consulted for several clients across multiple industries including financial services, health care, automotive and retail. Scott has 10 years of experience in delivering Identity Management solutions. John Misczak is a member of the Advisory Security practice within PwC. He has experience implementing multiple Identity and Access Management solutions, specializing in Oracle Identity Manager and Business Process Engineering Language (BPEL).

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Sweet and Sour Source Control

A recent survey on SQL Server Central showed that most database developers don't use Source Control. At first glance, it's a surprising thought. Unfortunately, the survey didn't ask about the scale of the database development. If there is only one database developer within a schema, who has an automated approach to regular generation of build scripts, then the need for a formal source control system is questionable....Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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Can't Install php5-msql

- by user210445

Hello friends I'm finishing the process of installing Apache/Php/mysql installations but this shows up: # sudo apt-get install mysql-server php5-msql Reading package lists... Done Building dependency tree Reading state information... Done E: Unable to locate package php5-msql After some adjustments this happened: angel@Voix:~$ sudo apt-get install mysql-server php5-mysql Reading package lists... Done Building dependency tree Reading state information... Done mysql-server is already the newest version. php5-mysql is already the newest version. The following packages were automatically installed and are no longer required: gir1.2-ubuntuoneui-3.0 libubuntuoneui-3.0-1 thunderbird-globalmenu Use 'apt-get autoremove' to remove them. The following extra packages will be installed: mysql-server-5.5 Suggested packages: tinyca mailx The following packages will be upgraded: mysql-server-5.5 1 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 4 not fully installed or removed. Need to get 0 B/8,827 kB of archives. After this operation, 32.7 MB of additional disk space will be used. Do you want to continue [Y/n]? debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable (Reading database ... dpkg: warning: files list file for package `mysql-server-5.5' missing, assuming package has no files currently installed. (Reading database ... 172971 files and directories currently installed.) Preparing to replace mysql-server-5.5 5.5.34-0ubuntu0.12.04.1 (using .../mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb) ... debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error processing /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb (--unpack): subprocess new pre-installation script returned error exit status 1 debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error while cleaning up: subprocess new post-removal script returned error exit status 1 Errors were encountered while processing: /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb E: Sub-process /usr/bin/dpkg returned an error code (1) angel@Voix:~$ sudo apt-get install mysql-server-5.5 Reading package lists... Done Building dependency tree Reading state information... Done The following packages were automatically installed and are no longer required: gir1.2-ubuntuoneui-3.0 libubuntuoneui-3.0-1 thunderbird-globalmenu Use 'apt-get autoremove' to remove them. Suggested packages: tinyca mailx The following packages will be upgraded: mysql-server-5.5 1 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 4 not fully installed or removed. Need to get 0 B/8,827 kB of archives. After this operation, 32.7 MB of additional disk space will be used. debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable (Reading database ... dpkg: warning: files list file for package `mysql-server-5.5' missing, assuming package has no files currently installed. (Reading database ... 172971 files and directories currently installed.) Preparing to replace mysql-server-5.5 5.5.34-0ubuntu0.12.04.1 (using .../mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb) ... debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error processing /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb (--unpack): subprocess new pre-installation script returned error exit status 1 debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error while cleaning up: subprocess new post-removal script returned error exit status 1 Errors were encountered while processing: /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb E: Sub-process /usr/bin/dpkg returned an error code (1) angel@Voix:~$ sudo apt-get install mysql-server php5-mysql Reading package lists... Done Building dependency tree Reading state information... Done mysql-server is already the newest version. php5-mysql is already the newest version. The following packages were automatically installed and are no longer required: gir1.2-ubuntuoneui-3.0 libubuntuoneui-3.0-1 thunderbird-globalmenu Use 'apt-get autoremove' to remove them. The following extra packages will be installed: mysql-server-5.5 Suggested packages: tinyca mailx The following packages will be upgraded: mysql-server-5.5 1 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 4 not fully installed or removed. Need to get 0 B/8,827 kB of archives. After this operation, 32.7 MB of additional disk space will be used. Do you want to continue [Y/n]? y debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable (Reading database ... dpkg: warning: files list file for package `mysql-server-5.5' missing, assuming package has no files currently installed. (Reading database ... 172971 files and directories currently installed.) Preparing to replace mysql-server-5.5 5.5.34-0ubuntu0.12.04.1 (using .../mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb) ... debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error processing /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb (--unpack): subprocess new pre-installation script returned error exit status 1 debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error while cleaning up: subprocess new post-removal script returned error exit status 1 Errors were encountered while processing: /var/cache/apt/archives/mysql-server-5.5_5.5.34-0ubuntu0.12.04.1_amd64.deb E: Sub-process /usr/bin/dpkg returned an error code (1)

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Újabb házassági terv az adatbázis piacon: Sybase és SAP

- by Fekete Zoltán

Az Oracle az utóbbi évben technológiai és alkalmazás oldalon több mint 50 céget vásárolt meg, legutóbb a hardver-operációs rendszer, Java, IDM, virtualizáció és számos más téren is innovatív Sun céget. Ráadásul az Oracle best-of-breed azaz iparági vezeto cégekkel és mogoldásokkal erosíti a portfólióját. Az Oracle hosszú évek óta az adattárházak (data wrehouse) területén is a Gartner szerint a piacvezetok mágikus négyzetében van. Ennek a területnek vezeto megoldása az Oracle Database optimalizált hardveren futtatása az Exadata / Database Machine területen. Az Oracle Database mind tranzakciókezelésre mind adattárház feldolgozásra, mind ezen megoldások egy környezetben futtatására optimalizált megoldás. Az SAP korábban meglehetosen elítélte az Oracle best-of-breed felvásárlási stratégiáját, mondván az nem vezet semmire. :) Most a megmaradék önálló cégek közül a Sybase-t szemelte ki. A BBC híre. Kicsit soknak tunik az 5,8 milliárd dollár? Érdekes, hogy a cikk szerint a felvásárlási terv hírére az SAP részvény árfolyam 40 centtel esett.

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Attachment handling for web application with Jackrabbit

- by Andrea Girardi

I need to manage attachments on my Spring web application and I thought to use an open source repository. My app it's a job approval system using J2EE / SPRING 3 Framework and Postgress DB to allow user to tracks the job,right through every step of the approval process. It is a fully managed, collaborative system that operates from a central server and is accessed by a standard internet browser. An user should be able to add an attach to a request or an approval step, so, I though to use Jackrabbit with Postgres database persistence manager. I took a look to this post: http://onjava.com/pub/a/onjava/2006/10/04/what-is-java-content-repository.html?page=1 It's really interesting but, I've some question about this kind of solution :- I seen that Jackrabbit standalone as a Derby database embedded solution for persistence, is it enough for a professional use of the repository with more than 50 request / days (with attachment) ? Is there a reason for which I should use another database manager for persistence instead of the default one ?

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SQL Server Optimizer Malfunction?

- by Tony Davis

There was a sharp intake of breath from the audience when Adam Machanic declared the SQL Server optimizer to be essentially "stuck in 1997". It was during his fascinating "Query Tuning Mastery: Manhandling Parallelism" session at the recent PASS SQL Summit. Paraphrasing somewhat, Adam (blog | @AdamMachanic) offered a convincing argument that the optimizer often delivers flawed plans based on assumptions that are no longer valid with today’s hardware. In 1997, when Microsoft engineers re-designed the database engine for SQL Server 7.0, SQL Server got its initial implementation of a cost-based optimizer. Up to SQL Server 2000, the developer often had to deploy a steady stream of hints in SQL statements to combat the occasionally wilful plan choices made by the optimizer. However, with each successive release, the optimizer has evolved and improved in its decision-making. It is still prone to the occasional stumble when we tackle difficult problems, join large numbers of tables, perform complex aggregations, and so on, but for most of us, most of the time, the optimizer purrs along efficiently in the background. Adam, however, challenged further any assumption that the current optimizer is competent at providing the most efficient plans for our more complex analytical queries, and in particular of offering up correctly parallelized plans. He painted a picture of a present where complex analytical queries have become ever more prevalent; where disk IO is ever faster so that reads from disk come into buffer cache faster than ever; where the improving RAM-to-data ratio means that we have a better chance of finding our data in cache. Most importantly, we have more CPUs at our disposal than ever before. To get these queries to perform, we not only need to have the right indexes, but also to be able to split the data up into subsets and spread its processing evenly across all these available CPUs. Improvements such as support for ColumnStore indexes are taking things in the right direction, but, unfortunately, deficiencies in the current Optimizer mean that SQL Server is yet to be able to exploit properly all those extra CPUs. Adam’s contention was that the current optimizer uses essentially the same costing model for many of its core operations as it did back in the days of SQL Server 7, based on assumptions that are no longer valid. One example he gave was a "slow disk" bias that may have been valid back in 1997 but certainly is not on modern disk systems. Essentially, the optimizer assesses the relative cost of serial versus parallel plans based on the assumption that there is no IO cost benefit from parallelization, only CPU. It assumes that a single request will saturate the IO channel, and so a query would not run any faster if we parallelized IO because the disk system simply wouldn’t be able to handle the extra pressure. As such, the optimizer often decides that a serial plan is lower cost, often in cases where a parallel plan would improve performance dramatically. It was challenging and thought provoking stuff, as were his techniques for driving parallelism through query logic based on subsets of rows that define the "grain" of the query. I highly recommend you catch the session if you missed it. I’m interested to hear though, when and how often people feel the force of the optimizer’s shortcomings. Barring mistakes, such as stale statistics, how often do you feel the Optimizer fails to find the plan you think it should, and what are the most common causes? Is it fighting to induce it toward parallelism? Combating unexpected plans, arising from table partitioning? Something altogether more prosaic? Cheers, Tony.

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Can Separation of Duties Deter Cybercrime? YES!

- by roxana.bradescu

According to the CERT 2010 CyberSecurity Watch Survey: The public may not be aware of the number of incidents because almost three-quarters (72%), on average, of the insider incidents are handled internally without legal action or the involvement of law enforcement. However, cybercrimes committed by insiders are often more costly and damaging than attacks from outside. When asked what security policies and procedures supported or played a role in the deterrence of a potential cybercriminal, 36% said technically-enforced segregation of duties. In fact, many data protection regulations call for separation of duties and enforcement of least privilege. Oracle Database Security solutions can help you meet these requirements and prevent insider threats by preventing privileged IT staff from accessing the data they are charged with managing, ensuring developers and testers don't have access to production data, making sure that all database activity is monitored and audited to prevent abuse, and more. All without changes to your existing applications or costly infrastructure investments. To learn more, watch our Oracle Database Management Separation of Duties for Security and Regulatory Compliance webcast.

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