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  • mocha testing for the lazies, single key-press for all possible tests

    - by laggingreflex
    I have a batch file that lists all the test files I have and asks me which test I want to perform, like Test. [U]nit, [I]ntegration : i (user input) Integration. [A]ll, [2][U]serInteraction, [3][R]esultGeneration : u 2 User Interaction. Running "mocha integration\2userint.js" ... So essentially I have configured a batch "option" for each test file I have, which I can choose to run individually or all together. But adding and removing tests is a pain. Is there something that does this or anything like this automatically? Like reads all the files and asks me which file(s) I want to test. A GUI with checkboxes would be ultimate! but I'll take anything. I'm working in node.js

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  • Software, script or a tool to automate managing which tests to run

    - by laggingreflex
    I have a batch file that lists all the test files I have and asks me which test I want to perform, like Test. [U]nit, [I]ntegration : i (user input) Integration. [A]ll, [2][U]serInteraction, [3][R]esultGeneration : u 2 User Interaction. Running "mocha integration\2userint.js" ... So essentially I have configured a batch "option" for each test file I have, which I can choose to run individually or all together. But adding and removing tests is a pain. I have to update the batch file everytime a new file is added or changed. Is there a software, script or a tool, that does this automatically, or makes it easier for me to do so? I basically need it to be aware of and ask me which file(s) I want to test. A GUI with checkboxes would be ultimate! but I'll take anything. I'm working in node.js

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  • Oracle Data Integration 12c: Simplified, Future-Ready, High-Performance Solutions

    - by Thanos Terentes Printzios
    In today’s data-driven business environment, organizations need to cost-effectively manage the ever-growing streams of information originating both inside and outside the firewall and address emerging deployment styles like cloud, big data analytics, and real-time replication. Oracle Data Integration delivers pervasive and continuous access to timely and trusted data across heterogeneous systems. Oracle is enhancing its data integration offering announcing the general availability of 12c release for the key data integration products: Oracle Data Integrator 12c and Oracle GoldenGate 12c, delivering Simplified and High-Performance Solutions for Cloud, Big Data Analytics, and Real-Time Replication. The new release delivers extreme performance, increase IT productivity, and simplify deployment, while helping IT organizations to keep pace with new data-oriented technology trends including cloud computing, big data analytics, real-time business intelligence. With the 12c release Oracle becomes the new leader in the data integration and replication technologies as no other vendor offers such a complete set of data integration capabilities for pervasive, continuous access to trusted data across Oracle platforms as well as third-party systems and applications. Oracle Data Integration 12c release addresses data-driven organizations’ critical and evolving data integration requirements under 3 key themes: Future-Ready Solutions : Supporting Current and Emerging Initiatives Extreme Performance : Even higher performance than ever before Fast Time-to-Value : Higher IT Productivity and Simplified Solutions  With the new capabilities in Oracle Data Integrator 12c, customers can benefit from: Superior developer productivity, ease of use, and rapid time-to-market with the new flow-based mapping model, reusable mappings, and step-by-step debugger. Increased performance when executing data integration processes due to improved parallelism. Improved productivity and monitoring via tighter integration with Oracle GoldenGate 12c and Oracle Enterprise Manager 12c. Improved interoperability with Oracle Warehouse Builder which enables faster and easier migration to Oracle Data Integrator’s strategic data integration offering. Faster implementation of business analytics through Oracle Data Integrator pre-integrated with Oracle BI Applications’ latest release. Oracle Data Integrator also integrates simply and easily with Oracle Business Analytics tools, including OBI-EE and Oracle Hyperion. Support for loading and transforming big and fast data, enabled by integration with big data technologies: Hadoop, Hive, HDFS, and Oracle Big Data Appliance. Only Oracle GoldenGate provides the best-of-breed real-time replication of data in heterogeneous data environments. With the new capabilities in Oracle GoldenGate 12c, customers can benefit from: Simplified setup and management of Oracle GoldenGate 12c when using multiple database delivery processes via a new Coordinated Delivery feature for non-Oracle databases. Expanded heterogeneity through added support for the latest versions of major databases such as Sybase ASE v 15.7, MySQL NDB Clusters 7.2, and MySQL 5.6., as well as integration with Oracle Coherence. Enhanced high availability and data protection via integration with Oracle Data Guard and Fast-Start Failover integration. Enhanced security for credentials and encryption keys using Oracle Wallet. Real-time replication for databases hosted on public cloud environments supported by third-party clouds. Tight integration between Oracle Data Integrator 12c and Oracle GoldenGate 12c and other Oracle technologies, such as Oracle Database 12c and Oracle Applications, provides a number of benefits for organizations: Tight integration between Oracle Data Integrator 12c and Oracle GoldenGate 12c enables developers to leverage Oracle GoldenGate’s low overhead, real-time change data capture completely within the Oracle Data Integrator Studio without additional training. Integration with Oracle Database 12c provides a strong foundation for seamless private cloud deployments. Delivers real-time data for reporting, zero downtime migration, and improved performance and availability for Oracle Applications, such as Oracle E-Business Suite and ATG Web Commerce . Oracle’s data integration offering is optimized for Oracle Engineered Systems and is an integral part of Oracle’s fast data, real-time analytics strategy on Oracle Exadata Database Machine and Oracle Exalytics In-Memory Machine. Oracle Data Integrator 12c and Oracle GoldenGate 12c differentiate the new offering on data integration with these many new features. This is just a quick glimpse into Oracle Data Integrator 12c and Oracle GoldenGate 12c. Find out much more about the new release in the video webcast "Introducing 12c for Oracle Data Integration", where customer and partner speakers, including SolarWorld, BT, Rittman Mead will join us in launching the new release. Resource Kits Meet Oracle Data Integration 12c  Discover what's new with Oracle Goldengate 12c  Oracle EMEA DIS (Data Integration Solutions) Partner Community is available for all your questions, while additional partner focused webcasts will be made available through our blog here, so stay connected. For any questions please contact us at partner.imc-AT-beehiveonline.oracle-DOT-com Stay Connected Oracle Newsletters

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  • VerifyError When Running jUnit Test on Android 1.6

    - by DKnowles
    Here's what I'm trying to run on Android 1.6: package com.healthlogger.test; public class AllTests extends TestSuite { public static Test suite() { return new TestSuiteBuilder(AllTests.class).includeAllPackagesUnderHere().build(); } } and: package com.healthlogger.test; public class RecordTest extends AndroidTestCase { /** * Ensures that the constructor will not take a null data tag. */ @Test(expected=AssertionFailedError.class) public void testNullDataTagInConstructor() { Record r = new Record(null, Calendar.getInstance(), "Data"); fail("Failed to catch null data tag."); } } The main project is HealthLogger. These are run from a separate test project (HealthLoggerTest). HealthLogger and jUnit4 are in HealthLoggerTest's build path. jUnit4 is also in HealthLogger's build path. The class "Record" is located in com.healthlogger. Commenting out the "@Test..." and "Record r..." lines allows this test to run. When they are uncommented, I get a VerifyError exception. I am severely blocked by this; why is it happening? EDIT: some info from logcat after the crash: E/AndroidRuntime( 3723): Uncaught handler: thread main exiting due to uncaught exception E/AndroidRuntime( 3723): java.lang.VerifyError: com.healthlogger.test.RecordTest E/AndroidRuntime( 3723): at java.lang.Class.getDeclaredConstructors(Native Method) E/AndroidRuntime( 3723): at java.lang.Class.getConstructors(Class.java:507) E/AndroidRuntime( 3723): at android.test.suitebuilder.TestGrouping$TestCasePredicate.hasValidConstructor(TestGrouping.java:226) E/AndroidRuntime( 3723): at android.test.suitebuilder.TestGrouping$TestCasePredicate.apply(TestGrouping.java:215) E/AndroidRuntime( 3723): at android.test.suitebuilder.TestGrouping$TestCasePredicate.apply(TestGrouping.java:211) E/AndroidRuntime( 3723): at android.test.suitebuilder.TestGrouping.select(TestGrouping.java:170) E/AndroidRuntime( 3723): at android.test.suitebuilder.TestGrouping.selectTestClasses(TestGrouping.java:160) E/AndroidRuntime( 3723): at android.test.suitebuilder.TestGrouping.testCaseClassesInPackage(TestGrouping.java:154) E/AndroidRuntime( 3723): at android.test.suitebuilder.TestGrouping.addPackagesRecursive(TestGrouping.java:115) E/AndroidRuntime( 3723): at android.test.suitebuilder.TestSuiteBuilder.includePackages(TestSuiteBuilder.java:103) E/AndroidRuntime( 3723): at android.test.InstrumentationTestRunner.onCreate(InstrumentationTestRunner.java:321) E/AndroidRuntime( 3723): at android.app.ActivityThread.handleBindApplication(ActivityThread.java:3848) E/AndroidRuntime( 3723): at android.app.ActivityThread.access$2800(ActivityThread.java:116) E/AndroidRuntime( 3723): at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1831) E/AndroidRuntime( 3723): at android.os.Handler.dispatchMessage(Handler.java:99) E/AndroidRuntime( 3723): at android.os.Looper.loop(Looper.java:123) E/AndroidRuntime( 3723): at android.app.ActivityThread.main(ActivityThread.java:4203) E/AndroidRuntime( 3723): at java.lang.reflect.Method.invokeNative(Native Method) E/AndroidRuntime( 3723): at java.lang.reflect.Method.invoke(Method.java:521) E/AndroidRuntime( 3723): at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:791) E/AndroidRuntime( 3723): at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:549) E/AndroidRuntime( 3723): at dalvik.system.NativeStart.main(Native Method)

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  • EBS 12.1.1 Test Starter Kit now Available for Oracle Application Testing Suite

    - by Steven Chan
    We've discussed automated testing tools for the E-Business Suite several times on this blog, since testing is such a key part of everyone's implementation lifecycle.  An important part of our testing arsenal in E-Business Suite Development is the Oracle Application Testing Suite.  The Oracle Automated Testing Suite (OATS) is built on the foundation of the e-TEST suite of products acquired from Empirix  in 2008.  The testing suite is comprised of:   1. Oracle Load Testing for scalability, performance, and load testing   2. Oracle Functional Testing for automated functional and regression testing   3. Oracle Test Manager for test process management, test execution, and defect trackingOracle Application Testing Suite 9.0 has been supported for use with the E-Business Suite since 2009.  I'm very pleased to let you know that our E-Business Suite Release 12.1.1 Test Starter Kit is now available for Oracle Application Testing Suite 9.1.  You can download it here:Oracle Application Testing Suite Downloads

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  • SQL SERVER – What is Page Life Expectancy (PLE) Counter

    - by pinaldave
    During performance tuning consultation there are plenty of counters and values, I often come across. Today we will quickly talk about Page Life Expectancy counter, which is commonly known as PLE as well. You can find the value of the PLE by running following query. SELECT [object_name], [counter_name], [cntr_value] FROM sys.dm_os_performance_counters WHERE [object_name] LIKE '%Manager%' AND [counter_name] = 'Page life expectancy' The recommended value of the PLE counter is 300 seconds. I have seen on busy system this value to be as low as even 45 seconds and on unused system as high as 1250 seconds. Page Life Expectancy is number of seconds a page will stay in the buffer pool without references. In simple words, if your page stays longer in the buffer pool (area of the memory cache) your PLE is higher, leading to higher performance as every time request comes there are chances it may find its data in the cache itself instead of going to hard drive to read the data. Now check your system and post back what is this counter value for you during various time of the day. Is this counter any way relates to performance issues for your system? Note: There are various other counters which are important to discuss during the performance tuning and this counter is not everything. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • EPM 11.1.1 - EPM Infrastructure Tuning Guide v11.1.1.3

    - by Ahmed Awan
    This edition applies to EPM 9.3.1, 11.1.1.1, 11.1.1.2 & 11.1.1.3 only. INTRODUCTION:One of the most challenging aspects of performance tuning is knowing where to begin. To maximize Oracle EPM System performance, all components need to be monitored, analyzed, and tuned. This guide describe the techniques used to monitor performance and the techniques for optimizing the performance of EPM components. Click to Download the EPM 11.1.1.3 Infrastructure Tuning Whitepaper (Right click or option-click the link and choose "Save As..." to download this file)

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  • SQL Profiler: Read/Write units

    - by Ian Boyd
    i've picked a query out of SQL Server Profiler that says it took 1,497 reads: EventClass: SQL:BatchCompleted TextData: SELECT Transactions.... CPU: 406 Reads: 1497 Writes: 0 Duration: 406 So i've taken this query into Query Analyzer, so i may try to reduce the number of reads. But when i turn on SET STATISTICS IO ON to see the IO activity for the query, i get nowhere close to one thousand reads: Table Scan Count Logical Reads =================== ========== ============= FintracTransactions 4 20 LCDs 2 4 LCTs 2 4 FintracTransacti... 0 0 Users 1 2 MALs 0 0 Patrons 0 0 Shifts 1 2 Cages 1 1 Windows 1 3 Logins 1 3 Sessions 1 6 Transactions 1 7 Which if i do my math right, there is a total of 51 reads; not 1,497. So i assume Reads in SQL Profiler is an arbitrary metric. Does anyone know the conversion of SQL Server Profiler Reads to IO Reads? See also SQL Profiler CPU / duration unit Query Analyzer VS. Query Profiler Reads, Writes, and Duration Discrepencies

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  • How to Test and Deploy Applications Faster

    - by rickramsey
    photo courtesy of mtoleric via Flickr If you want to test and deploy your applications much faster than you could before, take a look at these OTN resources. They won't disappoint. Developer Webinar: How to Test and Deploy Applications Faster - April 10 Our second developer webinar, conducted by engineers Eric Reid and Stephan Schneider, will focus on how the zones and ZFS filesystem in Oracle Solaris 11 can simplify your development environment. This is a cool topic because it will show you how to test and deploy apps in their likely real-world environments much quicker than you could before. April 10 at 9:00 am PT Video Interview: Tips for Developing Faster Applications with Oracle Solaris 11 Express We recorded this a while ago, and it talks about the Express version of Oracle Solaris 11, but most of it applies to the production release. George Drapeau, who manages a group of engineers whose sole mission is to help customers develop better, faster applications for Oracle Solaris, shares some tips and tricks for improving your applications. How ZFS and Zones create the perfect developer sandbox. What's the best way for a developer to use DTrace. How Crossbow's network bandwidth controls can improve an application's performance. To borrow the classic Ed Sullivan accolade, it's a "really good show." "White Paper: What's New For Application Developers Excellent in-depth analysis of exactly how the capabilities of Oracle Solaris 11 help you test and deploy applications faster. Covers the tools in Oracle Solaris Studio and what you can do with each of them, plus source code management, scripting, and shells. How to replicate your development, test, and production environments, and how to make sure your application runs as it should in those different environments. How to migrate Oracle Solaris 10 applications to Oracle Solaris 11. How to find and diagnose faults in your application. And lots, lots more. - Rick Website Newsletter Facebook Twitter

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  • LINQ To objects: Quicker ideas?

    - by SDReyes
    Do you see a better approach to obtain and concatenate item.Number in a single string? Current: var numbers = new StringBuilder( ); // group is the result of a previous group by var basenumbers = group.Select( item => item.Number ); basenumbers.Aggregate ( numbers, ( res, element ) => res.AppendFormat( "{0:00}", element ) );

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  • Announcing SO-Aware Test Workbench

    - by gsusx
    Yesterday was a big day for Tellago Studios . After a few months hands down working, we announced the release of the SO-Aware Test Workbench tool which brings sophisticated performance testing and test visualization capabilities to theWCF world. This work has been the result of the feedback received by many of our SO-Aware and Tellago customers in terms of how to improve the WCF testing. More importantly, with the SO-Aware Test Workbench we are trying to address what has been one of the biggest challenges...(read more)

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  • Logging library for (c++) games

    - by Klaim
    I know a lot of logging libraries but didn't test a lot of them. (GoogleLog, Pantheios, the coming boost::log library...) In games, especially in remote multiplayer and multithreaded games, logging is vital to debugging, even if you remove all logs in the end. Let's say I'm making a PC game (not console) that needs logs (multiplayer and multithreaded and/or multiprocess) and I have good reasons for looking for a library for logging (like, I don't have time or I'm not confident in my ability to write one correctly for my case). Assuming that I need : performance ease of use (allow streaming or formating or something like that) reliable (don't leak or crash!) cross-platform (at least Windows, MacOSX, Linux/Ubuntu) Wich logging library would you recommand? Currently, I think that boost::log is the most flexible one (you can even log to remotely!), but have not good performance update: is for high performance, but isn't released yet. Pantheios is often cited but I don't have comparison points on performance and usage. I've used my own lib for a long time but I know it don't manage multithreading so it's a big problem, even if it's fast enough. Google Log seems interesting, I just need to test it but if you already have compared those libs and more, your advice might be of good use. Games are often performance demanding while complex to debug so it would be good to know logging libraries that, in our specific case, have clear advantages.

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  • Data in two databases, eager spool resulting in query

    - by Valkyrie
    I have two databases in SQL2k5: one that holds a large amount of static data (SQL Database 1) (never updated but frequently inserted into) and one that holds relational data (SQL Database 2) related to the static data. They're separated mainly because of corporate guidelines and business requirements: assume for the following problem that combining them is not practical. There are places in SQLDB2 that PKs in SQLDB1 are referenced; triggers control the referential integrity, since cross-database relationships are troublesome in SQL Server. BUT, because of the large amount of data in SQLDB1, I'm getting eager spools on queries that join from the Id in SQLDB2 that references the data in SQLDB1. (With me so far? Maybe an example will help:) SELECT t.Id, t.Name, t2.Company FROM SQLDB1.table t INNER JOIN SQLDB2.table t2 ON t.Id = t2.FKId This query results in a eager spool that's 84% of the load of the query; the table in SQLDB1 has 35M rows, so it's completely choking this query. I can't create a view on the table in SQLDB1 and use that as my FK/index; it doesn't want me to create a constraint based on a view. Anyone have any idea how I can fix this huge bottleneck? (Short of putting the static data in the first db: believe me, I've argued that one until I'm blue in the face to no avail.) Thanks! valkyrie Edit: also can't create an indexed view because you can't put schemabinding on a view that references a table outside the database where the view resides. Dang it.

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  • Free eBook with SQL Server performance tips and nuggets

    - by Claire Brooking
    I’ve often found that the kind of tips that turn out to be helpful are the ones that encourage me to make a small step outside of a routine. No dramatic changes – just a quick suggestion that changes an approach. As a languages student at university, one of the best I spotted came from outside the lecture halls and ended up saving me time (and lots of huffing and puffing) – the use of a rainbow of sticky notes for well-used pages and letter categories in my dictionary. Simple, but armed with a heavy dictionary that could double up as a step stool, those markers were surprisingly handy. When the Simple-Talk editors told me about a book they were planning that would give a series of tips for developers on how to improve database performance, we all agreed it needed to contain a good range of pointers for big-hitter performance topics. But we wanted to include some of the smaller, time-saving nuggets too. We hope we’ve struck a good balance. The 45 Database Performance Tips eBook covers different tips to help you avoid code that saps performance, whether that’s the ‘gotchas’ to be aware of when using Object to Relational Mapping (ORM) tools, or what to be aware of for indexes, database design, and T-SQL. The eBook is also available to download with SQL Prompt from Red Gate. We often hear that it’s the productivity-boosting side of SQL Prompt that makes it useful for everyday coding. So when a member of the SQL Prompt team mentioned an idea to make the most of tab history, a new feature in SQL Prompt 6 for SQL Server Management Studio, we were intrigued. Now SQL Prompt can save tabs we have been working on in SSMS as a way to maintain an active template for queries we often recycle. When we need to reuse the same code again, we search for our saved tab (and we can also customize its name to speed up the search) to get started. We hope you find the eBook helpful, and as always on Simple-Talk, we’d love to hear from you too. If you have a performance tip for SQL Server you’d like to share, email Melanie on the Simple-Talk team ([email protected]) and we’ll publish a collection in a follow-up post.

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  • When is assembler faster than C?

    - by Adam Bellaire
    One of the stated reasons for knowing assembler is that, on occasion, it can be employed to write code that will be more performant than writing that code in a higher-level language, C in particular. However, I've also heard it stated many times that although that's not entirely false, the cases where assembler can actually be used to generate more performant code are both extremely rare and require expert knowledge of and experience with assembler. This question doesn't even get into the fact that assembler instructions will be machine-specific and non-portable, or any of the other aspects of assembler. There are plenty of good reasons for knowing assembler besides this one, of course, but this is meant to be a specific question soliciting examples and data, not an extended discourse on assembler versus higher-level languages. Can anyone provide some specific examples of cases where assembler will be faster than well-written C code using a modern compiler, and can you support that claim with profiling evidence? I am pretty confident these cases exist, but I really want to know exactly how esoteric these cases are, since it seems to be a point of some contention.

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  • How to scale MySQL with multiple machines?

    - by erotsppa
    I have a web app running LAMP. We recently have an increase in load and is now looking at solutions to scale. Scaling apache is pretty easy we are just going to have multiple multiple machines hosting it and round robin the incoming traffic. However, each instance of apache will talk with MySQL and eventually MySQL will be overloaded. How to scale MySQL across multiple machines in this setup? I have already looked at this but specifically we need the updates from the DB available immediately so I don't think replication is a good strategy here? Also hopefully this can be done with minimal code change. PS. We have around a 1:1 read-write ratio.

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  • SQL SERVER – BI Quiz Hint – Performance Tuning Cubes – Hints

    - by pinaldave
    I earlier wrote about SQL BI Quiz over here and here. The details of the quiz is here: Working with huge data is very common when it is about Data Warehousing. It is necessary to create Cubes on the data to make it meaningful and consumable. There are cases when retrieving the data from cube takes lots of the time. Let us assume that your cube is returning you data very quickly. Suddenly on one day it is returning the data very slowly. What are the three things will you to diagnose this. After diagnose what you will do to resolve performance issue. Participate in my question over here I required BI Expert Jason Thomas to help with few hints to blog readers. He is one of the leading SSAS expert and writes a complicated subject in simple words. If queries were executing properly before but now take a long time to return the data, it means that there has been a change in the environment in which it is running. Some possible changes are listed below:-  1) Data factors:- Compare the data size then and now. Increase in data can result in different execution times. Poorly written queries as well as poor design will not start showing issues till the data grows. How to find it out? (Ans : SQL Server profiler and Perfmon Counters can be used for identifying the issues and performance  tuning the MDX queries)  2) Internal Factors:- Is some slow MDX query / multiple mdx queries running at the same time, which was not running when you had tested it before? Is there any locking happening due to proactive caching or processing operations? Are the measure group caches being cleared by processing operations? (Ans : Again, profiler and perfmon counters will help in finding it out. Load testing can be done using AS Performance Workbench (http://asperfwb.codeplex.com/) by running multiple queries at once)  3) External factors:- Is some other application competing for the same resources?  HINT : Read “Identifying and Resolving MDX Query Performance Bottlenecks in SQL Server 2005 Analysis Services” (http://sqlcat.com/whitepapers/archive/2007/12/16/identifying-and-resolving-mdx-query-performance-bottlenecks-in-sql-server-2005-analysis-services.aspx) Well, these are great tips. Now win big prizes by participate in my question over here. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Columnstore Case Study #2: Columnstore faster than SSAS Cube at DevCon Security

    - by aspiringgeek
    Preamble This is the second in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in my big deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. See also Columnstore Case Study #1: MSIT SONAR Aggregations Why Columnstore? As stated previously, If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. The Customer DevCon Security provides home & business security services & has been in business for 135 years. I met DevCon personnel while speaking to the Utah County SQL User Group on 20 February 2012. (Thanks to TJ Belt (b|@tjaybelt) & Ben Miller (b|@DBADuck) for the invitation which serendipitously coincided with the height of ski season.) The App: DevCon Security Reporting: Optimized & Ad Hoc Queries DevCon users interrogate a SQL Server 2012 Analysis Services cube via SSRS. In addition, the SQL Server 2012 relational back end is the target of ad hoc queries; this DW back end is refreshed nightly during a brief maintenance window via conventional table partition switching. SSRS, SSAS, & MDX Conventional relational structures were unable to provide adequate performance for user interaction for the SSRS reports. An SSAS solution was implemented requiring personnel to ramp up technically, including learning enough MDX to satisfy requirements. Ad Hoc Queries Even though the fact table is relatively small—only 22 million rows & 33GB—the table was a typical DW table in terms of its width: 137 columns, any of which could be the target of ad hoc interrogation. As is common in DW reporting scenarios such as this, it is often nearly to optimize for such queries using conventional indexing. DevCon DBAs & developers attended PASS 2012 & were introduced to the marvels of columnstore in a session presented by Klaus Aschenbrenner (b|@Aschenbrenner) The Details Classic vs. columnstore before-&-after metrics are impressive. Scenario   Conventional Structures   Columnstore   Δ SSRS via SSAS 10 - 12 seconds 1 second >10x Ad Hoc 5-7 minutes (300 - 420 seconds) 1 - 2 seconds >100x Here are two charts characterizing this data graphically.  The first is a linear representation of Report Duration (in seconds) for Conventional Structures vs. Columnstore Indexes.  As is so often the case when we chart such significant deltas, the linear scale doesn’t expose some the dramatically improved values corresponding to the columnstore metrics.  Just to make it fair here’s the same data represented logarithmically; yet even here the values corresponding to 1 –2 seconds aren’t visible.  The Wins Performance: Even prior to columnstore implementation, at 10 - 12 seconds canned report performance against the SSAS cube was tolerable. Yet the 1 second performance afterward is clearly better. As significant as that is, imagine the user experience re: ad hoc interrogation. The difference between several minutes vs. one or two seconds is a game changer, literally changing the way users interact with their data—no mental context switching, no wondering when the results will appear, no preoccupation with the spinning mind-numbing hurry-up-&-wait indicators.  As we’ve commonly found elsewhere, columnstore indexes here provided performance improvements of one, two, or more orders of magnitude. Simplified Infrastructure: Because in this case a nonclustered columnstore index on a conventional DW table was faster than an Analysis Services cube, the entire SSAS infrastructure was rendered superfluous & was retired. PASS Rocks: Once again, the value of attending PASS is proven out. The trip to Charlotte combined with eager & enquiring minds let directly to this success story. Find out more about the next PASS Summit here, hosted this year in Seattle on November 4 - 7, 2014. DevCon BI Team Lead Nathan Allan provided this unsolicited feedback: “What we found was pretty awesome. It has been a game changer for us in terms of the flexibility we can offer people that would like to get to the data in different ways.” Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the second in a series of reports on columnstore implementations, results from DevCon Security, a live customer production app for which performance increased by factors of from 10x to 100x for all report queries, including canned queries as well as reducing time for results for ad hoc queries from 5 - 7 minutes to 1 - 2 seconds. As a result of columnstore performance, the customer retired their SSAS infrastructure. I invite you to consider leveraging columnstore in your own environment. Let me know if you have any questions.

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  • NSMutableArray Vs Stack

    - by Chandan Shetty SP
    I am developing 2D game for iphone in Objectice-C.In this project I need to use stack, I can do it using STL(Standard template library) stacks or NSMutableArray, since this stack is widely used in the game which one is more efficient? @interface CarElement : NSObject { std::stack<myElement*> *mBats; } or @interface CarElement : NSObject { NSMutableArray *mBats; } Thanks,

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  • Programming test for ASP.NET C# developer job - Opinions please!

    - by Indy
    Hi all, We are hiring a .NET C# developer and I have developed a technical test for the candidates to complete. They have an hour and it has two parts, some knowledge based questions covering asp.net, C# and SQL and a small practical test. I'd appreciate feedback on the test, is it sufficient to test the programmers ability? What would you change if anything? Part One. What the are events fired as part of the ASP.NET Page lifecycle. What interesting things can you do at each? How does ViewState work and why is it either useful or bad? What is a common way to create web services in ASP.NET 2.0? What is the GAC? What is boxing? What is a delegate? The C# keyword .int. maps to which .NET type? Explain the difference between a Stored Procedure and a Trigger? What is an OUTER Join? What is @@IDENTITY? Part Two: You are provided with the Northwind Database and the attached DB relationship diagram. Please create a page which provides users with the following functionality. You don’t need to be too concerned with the presentation detail of the page. Select a customer from a list, and see all the orders placed by that customer. For the same customer, find all their orders which are Beverages and the quantity is more than 5. I was aware of setting the right balance of difficulty on this as there is an hour's test. I was able to complete the practical test in under 30 mins using SQLDatasource and the query designer in visual studio and the test questions, I am looking to see how they approach it logically and whether they use the tools available. Many thanks!

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  • App Engine Hangout - chat with an App Engine Software Engineer in Test

    App Engine Hangout - chat with an App Engine Software Engineer in Test We'll be chatting with Robert Schuppenies, who is an App Engine Software Engineer in Test. He'll describe a bit about what he does, and talk about/demo some App Engine test frameworks, like the testbed module, code.google.com and code.google.com From: GoogleDevelopers Views: 0 0 ratings Time: 00:00 More in Science & Technology

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  • Failed to spawn test

    - by Lost
    Running a simple test in Ubuntu 12.04: sudo lxc-execute -n test /bin/bash -l debug -o outout Got error message: lxc-execute: failed to spawn 'test' cat outout: lxc-execute 1347053658.113 DEBUG lxc_start - sigchild handler set lxc-execute 1347053658.113 INFO lxc_start - 'test' is initialized lxc-execute 1347053658.366 DEBUG lxc_start - Dropping cap_sys_boot and watching utmp lxc-execute 1347053658.366 DEBUG lxc_cgroup - checking '/' (rootfs) lxc-execute 1347053658.366 DEBUG lxc_cgroup - checking '/sys' (sysfs) lxc-execute 1347053658.366 DEBUG lxc_cgroup - checking '/proc' (proc) lxc-execute 1347053658.366 DEBUG lxc_cgroup - checking '/dev' (devtmpfs) lxc-execute 1347053658.366 DEBUG lxc_cgroup - checking '/dev/pts' (devpts) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/run' (tmpfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/' (ext3) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/sys/fs/fuse/connections' (fusectl) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/sys/kernel/debug' (debugfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/sys/kernel/security' (securityfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/run/lock' (tmpfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/run/shm' (tmpfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/run/rpc_pipefs' (rpc_pipefs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/scratch/WAMC-Simulation' (nfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/share' (nfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/proj/WAMC-Simulation' (nfs) lxc-execute 1347053658.367 DEBUG lxc_cgroup - checking '/users/bhu' (nfs) lxc-execute 1347053658.367 ERROR lxc_start - failed to spawn 'test' Run command: sudo lxc-checkconfig Kernel config /proc/config.gz not found, looking in other places... Found kernel config file /boot/config-2.6.38.7-1.0emulab --- Namespaces --- Namespaces: enabled Utsname namespace: enabled Ipc namespace: enabled Pid namespace: enabled User namespace: enabled Network namespace: enabled Multiple /dev/pts instances: enabled --- Control groups --- Cgroup: enabled Cgroup namespace: enabled Cgroup device: enabled Cgroup sched: enabled Cgroup cpu account: enabled Cgroup memory controller: enabled Cgroup cpuset: enabled --- Misc --- Veth pair device: enabled Macvlan: enabled Vlan: enabled File capabilities: enabled Note : Before booting a new kernel, you can check its configuration usage : CONFIG=/path/to/config /usr/bin/lxc-checkconfig What's the problem? Thanks a lot

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