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• Apache server-side files caching via .htaccess?

  - by purpler

  Hi, I'm starting new website and gonna include several JS libs and would like to know how .htaccess file template should look like with caching of media and JS files on? Whats better for compression, GZip or Deflate? Is it better/faster solution to serve those JS libs of the Google CDN perhaps then locally? I'm asking CDN question since some of scripts served off GoogleCDN are potentially going to update and eventually break the website layout so i thought it would be better for me to host them locally and cache via webserver if its going to work with same/near-same speed.

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• GZIP .htaccess and php session problem

  - by Suresh

  Hi, I am trying to implement GZIP compression for my website. I copied the below code in my .htaccess file: ExpiresActive On ExpiresDefault A604800 Header append Cache-Control "public" <IfModule mod_deflate.c> <FilesMatch "\.(js|css)$"> SetOutputFilter DEFLATE </FilesMatch> </IfModule> what happens is when I type username and password the page reloads but still the login form is displayed but session is set. When I refresh the page using ctrl + R the login form goes and the username is displayed. what will be the problem. wwaiting for ur reply.

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• Pushing app to heroku error

  - by Ryan Max

  Hello, I am getting the following error when I try to push my app to heroku. I saw a similar thread on here, but the issues seemed related to OSX. I am running windows 7 $ git push heroku master Counting objects: 1652, done. Delta compression using up to 4 threads. fatal: object 91f5d3ee9e2edcd42e961ed2eb254d5181cbc734 inconsistent object lengt h (476 vs 8985) error: pack-objects died with strange error error: failed to push some refs to '[email protected]:floating-stone-94.git I'm not sure what this means. I can't find any consistent answers on the internet. I tried re-creating my ssh public key but still the same.

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• Traffic consumed by Team Foundation Server 2010

  - by micha12

  We are currently selecting a source control and issue tracking software, and are looking towards Team Foundation Server 2010. Some participants of our project often have slow Internet connection (for example during travel), and therefore it is important for us to have a source control system that does not consume too much traffic. I was unable to find information on traffic consumption when using TFS 2010. Does anyone has such info? Does TFS 2010 support traffic compression? Do other source control systems (like SVN, for example) produce less or more traffic than TFS 2010?

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• Any way to chunk gzip with Apache and PHP

  - by donatJ

  I have a web application on a site that takes a while (~10 seconds) to complete a portion of the page near the bottom - it has been as optimized as it can be, and caching is not an option. We have compression enabled on the server via an .htaccess directive SetOutputFilter DEFLATE the problem is this causes the whole page to be held until completion before it starts outputting to the user, this is not optimal as the user sees nothing until the page completes. I have also tried it via the php ob_start("ob_gzhandler"); method. Currently I have a <FilesMatch > in my .htaccess restricting this specific script from being compressed. Basically my question is this - Is there a way to say chunk gzip or deflate so that the user gets it in pieces, so they can see that the page has begun loading?

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• android steganography

  - by poo123

  Im doing steganography on android...my code is as below.. public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); mBitmap = BitmapFactory.decodeResource(getResources(), R.drawable.src); picw = mBitmap.getWidth(); pich = mBitmap.getHeight(); pix= new int[picw * pich]; mBitmap.getPixels(pix, 0, picw, 0, 0, picw, pich); try { FileOutputStream fos = super.openFileOutput("dest.png", MODE_WORLD_READABLE); mBitmap.compress(CompressFormat.PNG, 100, fos); fos.flush(); fos.close(); }catch (Exception e) { tv.setText(e.getMessage()); } but whenever i save source image with Bitmap.compress() method pix[0] value before and after compression changed..so i'm unable to extract original data...please help me

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• Where does Subversion physically stores its DataBase ?

  - by Mika Jacobi

  After reading many introductions, starting guides, and documentation on SVN, I still cannot figure out where is my versioning data stored. I mean physically. I have over 3 GB of code checked in, and the repo is just a few MB large. This is still Voodoo for me. And, as a coder, I don't really believe in Magic. EDIT : A contributor stated that not all the code was stored in the repo, is that true ? I mean, if I delete my local working copy I still can get back my source code for the repository... If so, I still can't understand how such a compression can occur on my code...

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• Is node.js ready for production use?

  - by Simon Wentley

  Starting a new project. It's basically a blogging/commenting system. We're considering node.js as the back end server. Is node.js ready for this sort of thing or is it too early and experimental? We need HTTPS and gzip compression - perhaps a front end nginx server could provide this? What's missing from node.js that would make developing a web app difficult? From a production ready perspective, we're wondering if it is stable enough for building a commercial app on top of. Thanks

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• Why is C++ fwrite() producing larger output in release?

  - by waffleShirt

  I recently wrote an implementation of the Canonical Huffman compression algorithm. I have a 500kb test file that can be compressed to about 250kb when running the debug and release builds from within Visual Studio 2008. However when I run the release build straight from the executeable the test file only compresses to about 330kb. I am assuming that something is going wrong when the file is written using fwrite(). I have tested the program and confirmed that uncompressing the files always produces the correct uncompressed file. Does anyone know why this could possibly be? How could the same executeable file be producing different sized outputs based on where it is launched from?

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• MPMoviePlayerController iPhone 3G & .mov file format

  - by Matt

  Just posting a question to the world... My app is currently setup to play video files. The app is setup to play .mov files and when tested on a 3GS, iPhone 4, and an iPad, it works great. But when playing on an iPhone 3G, the file does not play. Is this based on different compression standards that the 3G can't handle? I liked the .mov extension as it was compressed nicely to stream to the device. I have now converted the video files to .m4v so it will play on the 3G, but the file is now 3 times the size. Thanks in advance for any answers I get!!

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• DB2 increase bufferpool size and compressed tables not equal better performance. Why?

  - by Mestika

  Hi, I’m working on tuning and increasing the performance of my IBM DB2 version 9.7 database. I’ve been searching around the net for the last couple of days and learned that if I created my tables in COMPRESS mode and created one more bufferpool and set both of them to access 1024mb, then the performance in my queries should increase because of the less I/Os to the disks. However, when I run my time analysis, the performance Decrease. I added the new additions to my regular database with the indexes I’ve used all the time. Each time I search google I come up with the statement that: Increased bufferpool size and several bufferpools AND a table compression SHOULD prove to get better performance. I’m very puzzled about the total unexpected result. Are there some tuning mechanisms I’ve forgot or does anyone have a explanation for this odd behavior? Sincerely Mestika

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• Sharepoint Web performance optimization

  - by hertzel

  We are running on SSL on following server topology: 1 ISA (SSL Terminate/cache/proxy+AD authentication) 1 Sharepoint 1 IBM DB2 Database as enterprise/corporate DB 1 MS SQL Server as local DB We have recently optimized the caching, compression, minification, and other ASP.net best practices such as viewstate and cookie sizes, minimizing round trips, parallel connections/domain sharding and a lot more.... Now we are not convinced that the we are in an optimized position as the network resources i.e. bandwidth and especially latency are out of our control!! The client/browser to server/sharepoint is trans-Atlantic i.e. (ASIA, USA, EUROPE). As of my understanding the only ways to improve the network (latency) are: - TCP/SSL optimization - hardware/software? - CDNs - cloud or our own ? Your opinion and insights would be much appreciated Best regards Hertzel

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• Why does my git push hang after successfully pushing?

  - by John

  On a newly set up ssh git repo, whenever I push, I get normal output like this: ? git push Counting objects: 15, done. Delta compression using up to 4 threads. Compressing objects: 100% (9/9), done. Writing objects: 100% (9/9), 989 bytes, done. Total 9 (delta 7), reused 0 (delta 0) It happens very quickly, and the changes are immediately available on the server repo. But the output hangs there for about a minute, and then finishes with: To [email protected]:baz.git c8c391c..1de5e80 branch_name -> branch_name If I control-c before it finishes, everything seems to continue to be normal and healthy, locally and remotely. What is it doing while hanging? Is something configured incorrectly on the server side?

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• How Can I Determine if HTTP Requests/Responses are compressed in IE7?

  - by DTS

  I'm trying to use Fiddler (v2.2.2.0) to see if HTTP traffic through IE7 is being compressed. I'm not seeing Accept-Encoding or Content-Encoding request/response headers being sent/returned and I do not need to decode the response data once it's arrived, which leads me to believe that the responses are NOT coming back compressed. However, when making the same requests using FireFox 3.5.7, I could see through FireBug that FF was sending Accept-Encoding and YSlow at least thought my data was coming back compressed. A comment in this question: http://stackoverflow.com/questions/897989/using-fiddler-to-check-iis-compression suggested that a proxy server may be to blame for stripping out headers and decompressing the content for security reasons. I am using Verizon FIOS for my broadband at home and am now wondering if Verizon is proxying my HTTP traffic? In short, how can I positively confirm/deny that responses are coming back compressed through IE? Thanks.

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• SQL Server – Learning SQL Server Performance: Indexing Basics – Video

  - by pinaldave

  Today I remember one of my older cartoon years ago created for Indexing and Performance. Every single time when Performance is discussed, Indexes are mentioned along with it. In recent times, data and application complexity is continuously growing.  The demand for faster query response, performance, and scalability by organizations is increasing and developers and DBAs need to now write efficient code to achieve this. DBA and Developers A DBA’s role is critical, because a production environment has to run 24×7, hence maintenance, trouble shooting, and quick resolutions are the need of the hour.  The first baby step into any performance tuning exercise in SQL Server involves creating, analysing, and maintaining indexes. Though we have learnt indexing concepts from our college days, indexing implementation inside SQL Server can vary.  Understanding this behaviour and designing our applications appropriately will make sure the application is performed to its highest potential. Video Learning Vinod Kumar and myself we often thought about this and realized that practical understanding of the indexes is very important. One can not master every single aspects of the index. However there are some minimum expertise one should gain if performance is one of the concern. We decided to build a course which just addresses the practical aspects of the performance. In this course, we explored some of these indexing fundamentals and we elaborated on how SQL Server goes about using indexes.  At the end of this course of you will know the basic structure of indexes, practical insights into implementation, and maintenance tips and tricks revolving around indexes.  Finally, we will introduce SQL Server 2012 column store indexes.  We have refrained from discussing internal storage structure of the indexes but have taken a more practical, demo-oriented approach to explain these core concepts. Course Outline Here are salient topics of the course. We have explained every single concept along with a practical demonstration. Additionally shared our personal scripts along with the same. Introduction Fundamentals of Indexing Index Fundamentals Index Fundamentals – Visual Representation Practical Indexing Implementation Techniques Primary Key Over Indexing Duplicate Index Clustered Index Unique Index Included Columns Filtered Index Disabled Index Index Maintenance and Defragmentation Introduction to Columnstore Index Indexing Practical Performance Tips and Tricks Index and Page Types Index and Non Deterministic Columns Index and SET Values Importance of Clustered Index Effect of Compression and Fillfactor Index and Functions Dynamic Management Views (DMV) – Fillfactor Table Scan, Index Scan and Index Seek Index and Order of Columns Final Checklist: Index and Performance Well, we believe we have done our part, now waiting for your comments and feedback. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Index, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology, Video

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• SQL SERVER – What the Business Says Is Not What the Business Wants

  - by pinaldave

  This blog post is written in response to T-SQL Tuesday hosted by Steve Jones. Steve raised a very interesting question; every DBA and Database Developer has already faced this situation. When I read the topic, I felt that I can write several different examples here. Today, I will cover this scenario, which seems quite amusing. Shrinking Database Earlier this year, I was working on SQL Server Performance Tuning consultancy; I had faced very interesting situation. No matter how much I attempt to reduce the fragmentation, I always end up with heavy fragmentation on the server. After careful research, I figured out that one of the jobs was continuously Shrinking the Database – which is a very bad practice. I have blogged about my experience over here SQL SERVER – SHRINKDATABASE For Every Database in the SQL Server. I removed the incorrect shrinking process right away; once it was removed, everything continued working as it should be. After a couple of days, I learned that one of their DBAs had put back the same DBCC process. I requested the Senior DBA to find out what is going on and he came up with the following reason: “Business Requirement.” I cannot believe this! Now, it was time for me to go deep into the subject. Moreover, it had become necessary to understand the need. After talking to the concerned people here, I understood what they needed. Please read the exact business need in their own language. The Shrinking “Business Need” “We shrink the database because if we take backup after shrinking the database, the size of the same is smaller. Once we take backup, we have to send it to our remote location site. Our business requirement is that we need to always make sure that the file is smallest when we transfer it to remote server.” The backup is not affected in any way if you shrink the database or not. The size of backup will be the same. After a couple of the tests, they agreed with me. Shrinking will create performance issues for the same as it will introduce heavy fragmentation in the database. The Real Solution The real business need was that they needed the smallest possible backup file. We finally implemented a quick solution which they are still using to date. The solution was compressed backup. I have written about this subject in detail few years before SQL SERVER – 2008 – Introduction to New Feature of Backup Compression. Compressed backup not only creates a small filesize but also increases the speed of the database as well. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Best Practices, Pinal Dave, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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• Don&rsquo;t Forget! In-Memory Databases are Hot

  - by andrewbrust

  If you’re left scratching your head over SAP’s intention to acquire Sybase for almost $6 million, you’re not alone.  Despite Sybase’s 1990s reign as the supreme database standard in certain sectors (including Wall Street), the company’s flagship product has certainly fallen from grace.  Why would SAP pay a greater than 50% premium over Sybase’s closing price on the day of the announcement just to acquire a relational database which is firmly stuck in maintenance mode? Well there’s more to Sybase than the relational database product.  Take, for example, its mobile application platform.  It hit Gartner’s “Leaders’ Quadrant” in January of last year, and SAP needs a good mobile play.  Beyond the platform itself, Sybase has a slew of mobile services; click this link to look them over. There’s a second major asset that Sybase has though, and I wonder if it figured prominently into SAP’s bid: Sybase IQ.  Sybase IQ is a columnar database.  Columnar databases place values from a given database column contiguously, unlike conventional relational databases, which store all of a row’s data in close proximity.  Storing column values together works well in aggregation reporting scenarios, because the figures to be aggregated can be scanned in one efficient step.  It also makes for high rates of compression because values from a single column tend to be close to each other in magnitude and may contain long sequences of repeating values.  Highly compressible databases use much less disk storage and can be largely or wholly loaded into memory, resulting in lighting fast query performance.  For an ERP company like SAP, with its own legacy BI platform (SAP BW) and the entire range of Business Objects and Crystal Reports BI products (which it acquired in 2007) query performance is extremely important. And it’s a competitive necessity too.  QlikTech has built an entire company on a columnar, in-memory BI product (QlikView).  So too has startup company Vertica.  IBM’s TM1 product has been doing in-memory OLAP for years.  And guess who else has the in-memory religion?  Microsoft does, in the form of its new PowerPivot product.  I expect the technology in PowerPivot to become strategic to the full-blown SQL Server Analysis Services product and the entire Microsoft BI stack.  I sure don’t blame SAP for jumping on the in-memory bandwagon, if indeed the Sybase acquisition is, at least in part, motivated by that. It will be interesting to watch and see what SAP does with Sybase’s product line-up (assuming the acquisition closes), including the core database, the mobile platform, IQ, and even tools like PowerBuilder.  It is also fascinating to watch columnar’s encroachment on relational.  Perhaps this acquisition will be columnar’s tipping point and people will no longer see it as a fad.  Are you listening Larry Ellison?

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• Getting Started With nServiceBus on VAN Mar 31

  - by van

  Topic: nServiceBus is mature and powerful open source framework that enables to design robust, scalable, message-based, service-oriented architectures. Latest improvements in the configuration API enables developers to quickly get started and build a working simple system that uses messaging infrastructure. The goal of this session is to give a jump start with the framework, introduce basic concepts such as message handlers, Sagas, Pub/Sub, Generic Host and also create a working demo application that uses publish/subscribe messaging. The content of the session is addressed to developers that are interested in learning how to get started using nServiceBus in order to design and build distributed systems. Bio: Bernard Kowalski is currently a Software Developer at Microdesk, one of Autodesk's leading partners in providing variety of Geospatial and Computer-Aided Design solutions. Bernard has experience developing .NET framework-based applications utilizing Windows Forms, Windows Services, ASP.NET MVC, and Web services. In a recent project, Bernard architected and implemented a distributed system based on SOA principles using an open source implementation of an Enterprise Service Bus. Bernard develops software with Agile patterns and practices using Domain Driven Design combined with TDD (Test Driven Development). He is familiar with all of the following APIs: Autodesk Vault/Product Stream API, AutoCAD ActiveX/VBA/.NET API, AutoCAD Mechanical API, Autodesk Inventor API, Autodesk MapGuide Enterprise. Prior to joining Microdesk, Bernard worked as a researcher and teacher at the University of Science and Technology in Krakow, Poland where he was awarded with a PhD in Computer Methods in Materials Science. He also participated in research projects where he developed applications for analysis of hot compression test results using advanced optimization techniques. He also developed Finite Element Method-based programs for thermal and stress analysis using C++ and FORTRAN. Bernard is a member of the Domain Driven Design and ALT.NET user groups in NYC. Virtual ALT.NET (VAN) is the online gathering place of the ALT.NET community. Through conversations, presentations, pair programming and dojos, we strive to improve, explore, and challenge the way we create software. Using net conferencing technology such as Skype and LiveMeeting, we hold regular meetings, open to anyone, usually taking the form of a presentation or an Open Space Technology-style conversation. Please see the Calendar(http://www.virtualaltnet.com/Home/Calendar) to find a VAN group that meets at a time convenient to you, and feel welcome to join a meeting. Past sessions can be found on the Recording page. To stay informed about VAN activities, you can subscribe to the Virtual ALT.NET Google Group and follow the Virtual ALT.NET blog. Times below are Central Standard Time Start Time: Wed, Mar 31, 2010 8:00 PM UTC/GMT -5 hours End Time: Wed, Mar 31, 2010 10:00 PM UTC/GMT -5 hours Attendee URL: http://www.virtualaltnet.com/van Zach Young http://www.virtualaltnet.com

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• Have you really fixed that problem?

  - by DavidWimbush

  The day before yesterday I saw our main live server's CPU go up to constantly 100% with just the occasional short drop to a lower level. The exact opposite of what you'd want to see. We're log shipping every 15 minutes and part of that involves calling WinRAR to compress the log backups before copying them over. (We're on SQL2005 so there's no native compression and we have bandwidth issues with the connection to our remote site.) I realised the log shipping jobs were taking about 10 minutes and that most of that was spent shipping a 'live' reporting database that is completely rebuilt every 20 minutes. (I'm just trying to keep this stuff alive until I can improve it.) We can rebuild this database in minutes if we have to fail over so I disabled log shipping of that database. The log shipping went down to less than 2 minutes and I went off to the SQL Social evening in London feeling quite pleased with myself. It was a great evening - fun, educational and thought-provoking. Thanks to Simon Sabin & co for laying that on, and thanks too to the guests for making the effort when they must have been pretty worn out after doing DevWeek all day first. The next morning I came down to earth with a bump: CPU still at 100%. WTF? I looked in the activity monitor but it was confusing because some sessions have been running for a long time so it's not a good guide what's using the CPU now. I tried the standard reports showing queries by CPU (average and total) but they only show the top 10 so they just show my big overnight archiving and data cleaning stuff. But the Profiler showed it was four queries used by our new website usage tracking system. Four simple indexes later the CPU was back where it should be: about 20% with occasional short spikes. So the moral is: even when you're convinced you've found the cause and fixed the problem, you HAVE to go back and confirm that the problem has gone. And, yes, I have checked the CPU again today and it's still looking sweet.

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• Oracle Optimized Solutions at Oracle OpenWorld 2012

  - by ferhatSF

  Have you registered for Oracle OpenWorld 2012 in San Francisco from September 30 to October 4? Visit the Oracle OpenWorld 2012 site today for registration and more information. Come join us to hear how Oracle Optimized Solutions can help you save money, reduce integration risks, and improve user productivity. Oracle Optimized Solutions are designed, pre-tested, tuned and fully documented architectures for optimal performance and availability. They provide written guidelines to help size, configure, purchase and deploy enterprise solutions that address common IT problems. Built with flexibility in mind, Oracle Optimized Solutions can be deployed as complete solutions or easily tailored to meet your specific needs - they are proven to save money, reduce integration risks and improve user productivity. Here is a preview of the planned Oracle OpenWorld sessions(*) on Oracle Optimized Solutions. October 1, 2012 Monday Time Session ID Title Location 12:15 PM CON7916 Accelerate Oracle E-Business Suite Deployment with SPARC SuperCluster Moscone West - 2001 03:15 PM GEN9691 General Session: Accelerate Your Business with the Oracle Hardware Advantage Moscone North - Hall D 04:45 PM CON4821 Building a Flexible Enterprise Cloud Infrastructure on Oracle SPARC Systems Moscone West - 2001 October 2, 2012 Tuesday Time Session ID Title Location 10:15 AM CON4561 Backup-and-Recovery Best Practices with Oracle Engineered Systems Products Moscone South - 252 11:45 AM CON3851 Optimizing JD Edwards EnterpriseOne on SPARC T4 Servers for Best Performance Moscone West - 2000 01:15 PM GEN11472 General Session: Breakthrough Efficiency in Private Cloud Infrastructure Moscone West - 3014 01:15 PM CON4600 Extreme Storage Scale and Efficiency: Lessons from a 100,000-Person Organization Moscone South - 252 05:00 PM CON9465 Next-Generation Directory: Oracle Unified Directory Moscone West - 3008 05:00 PM CON4088 Accelerate Your SAP Landscape with the Oracle SPARC SuperCluster Moscone West - 2001 05:00 PM CON7743 High-Performance Security for Oracle Applications Using SPARC T4 Systems Moscone West - 2000 05:00 PM CON3857 Archive Strategies for 100 Percent Data Availability Moscone South - 270 October 3, 2012 Wednesday Time Session ID Title Location 10:15 AM CON6528 Configure Oracle Hybrid Columnar Compression to Optimize Query Database Performance up to 10x Moscone South - 252 11:45 AM CON2590 Breakthrough in Private Cloud Management on SPARC T-Series Servers Moscone South - 270 01:15 PM CON4289 Oracle Optimized Solution for Siebel CRM at ACCOR Moscone West - 2000 05:00 PM CON7570 Improve PeopleSoft HCM Performance and Reliability with SPARC SuperCluster Moscone South - 252 * Schedule subject to change In addition, there will be Oracle Optimized Solutions Hands-On-Labs sessions planned. Please enroll ahead of time as space is limited: Oracle Optimized Solutions: Hands on Labs in Oracle OpenWorld Place: Marriott Marquis - Salon 14/15 Date and Time Session ID Title Monday October 1, 2012 01:45 PM HOL9868 Enterprise Cloud Infrastructure for SPARC with Oracle Enterprise Manager Ops Center 12c Monday October 1, 2012 03:15 PM HOL9907 Oracle Virtual Desktop Infrastructure Performance and Tablet Mobility Wednesday October 3, 2012 05:00 PM HOL9870 x86 Enterprise Cloud Infrastructure with Oracle VM 3.x and Sun ZFS Storage Appliance Thursday October 4, 2012 11:15 AM HOL9869 0 to Database Backup and Recovery in 60 Minutes Oracle Optimized Solutions executives and experts will also be at hand for discussions and follow ups. And don’t forget to catch live demonstrations of our complete Oracle Optimized Solutions while at Oracle OpenWorld 2012 in San Francisco. We recommend the use of the Schedule Builder tool to plan your visit to the conference and for pre-enrollment in sessions of your interest. We hope to see you there!

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• Using CTAS & Exchange Partition Replace IAS for Copying Partition on Exadata

  - by Bandari Huang

  Usage Scenario: Copy data&index from one partition to another partition in a partitioned table. Solution: Create a partition definition Copy data from one partition to another partiton by 'Insert as select (IAS)' Create a nonpartitioned table by 'Create table as select (CTAS)' Convert a nonpartitioned table into a partition of partitoned table by exchangng their data segments. Rebuild unusable index Exchange Partition Convertion Mutual convertion between a partition (or subpartition) and a nonpartitioned table Mutual convertion between a hash-partitioned table and a partition of a composite *-hash partitioned table Mutual convertiton a [range | list]-partitioned table into a partition of a composite *-[range | list] partitioned table. Exchange Partition Usage Scenario High-speed data loading of new, incremental data into an existing partitioned table in DW environment Exchanging old data partitions out of a partitioned table, the data is purged from the partitioned table without actually being deleted and can be archived separately Exchange Partition Syntax ALTER TABLE schema.table EXCHANGE [PARTITION|SUBPARTITION] [partition|subprtition] WITH TABLE schema.table [INCLUDE|EXCLUDING] INDEX [WITH|WITHOUT] VALIDATION UPDATE [INDEXES|GLOBAL INDEXES] INCLUDING | EXCLUDING INDEXES Specify INCLUDING INDEXES if you want local index partitions or subpartitions to be exchanged with the corresponding table index (for a nonpartitioned table) or local indexes (for a hash-partitioned table). Specify EXCLUDING INDEXES if you want all index partitions or subpartitions corresponding to the partition and all the regular indexes and index partitions on the exchanged table to be marked UNUSABLE. If you omit this clause, then the default is EXCLUDING INDEXES. WITH | WITHOUT VALIDATION Specify WITH VALIDATION if you want Oracle Database to return an error if any rows in the exchanged table do not map into partitions or subpartitions being exchanged. Specify WITHOUT VALIDATION if you do not want Oracle Database to check the proper mapping of rows in the exchanged table. If you omit this clause, then the default is WITH VALIDATION.  UPADATE INDEX|GLOBAL INDEX Unless you specify UPDATE INDEXES, the database marks UNUSABLE the global indexes or all global index partitions on the table whose partition is being exchanged. Global indexes or global index partitions on the table being exchanged remain invalidated. (You cannot use UPDATE INDEXES for index-organized tables. Use UPDATE GLOBAL INDEXES instead.) Exchanging Partitions&Subpartitions Notes Both tables involved in the exchange must have the same primary key, and no validated foreign keys can be referencing either of the tables unless the referenced table is empty.  When exchanging partitioned index-organized tables: – The source and target table or partition must have their primary key set on the same columns, in the same order. – If key compression is enabled, then it must be enabled for both the source and the target, and with the same prefix length. – Both the source and target must be index organized. – Both the source and target must have overflow segments, or neither can have overflow segments. Also, both the source and target must have mapping tables, or neither can have a mapping table. – Both the source and target must have identical storage attributes for any LOB columns. 

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• After 10 Years, MySQL Still the Right Choice for ScienceLogic's "Best Network Monitoring System on the Planet"

  - by Rebecca Hansen

  ScienceLogic has a pretty fantastic network monitoring appliance.  So good in fact that InfoWorld gave it their "2013 Best Network Monitoring System on the Planet" award.  Inside their "ultraflexible, ultrascalable, carrier-grade" enterprise appliance, ScienceLogic relies on MySQL and has since their start in 2003.  Check out some of the things they've been able to do with MySQL and their reasons for continuing to use MySQL in these highlights from our new MySQL ScienceLogic case study. Science Logic's larger customers use their appliance to monitor and manage  20,000+ devices, each of which generates a steady stream of data and a workload that is 85% write. On a large system, the MySQL database: Averages 8,000 queries every second or about 1 billion queries a day Can reach 175,000 tables and up to 20 million rows in a single table Is 2 terabytes on average and up to 6 terabytes "We told our customers they could add more and more devices. With MySQL, we haven't had any problems. When our customers have problems, we get calls. Not getting calls is a huge benefit." Matt Luebke, ScienceLogic Chief Software Architect.? ScienceLogic was approached by a number of Big Data / NoSQL vendors, but decided against using a NoSQL-only solution. Said Matt, "There are times when you really need SQL. NoSQL can't show me the top 10 users of CPU, or show me the bottom ten consumer of hard disk. That's why we weren't interested in changing and why we are very interested in MySQL 5.6. It's great that it can do relational and key-value using memcached." The ScienceLogic team is very cautious about putting only very stable technology into their product, and according to Matt, MySQL has been very stable: "We've been using MySQL for 10 years and we have never had any reliability problems. Ever." ScienceLogic now uses SSDs for their write-intensive appliance and that change alone has helped them achieve a 5x performance increase. Learn more>> ScienceLogic MySQL Case Study MySQL 5.6 InnoDB Compression options for better SSD performance Tuning MySQL 5.6 for Great Product Performance - on demand webinar Developer and DBA Guide to MySQL 5.6 white paper Guide to MySQL and NoSQL: The Best of Both Worlds white paper

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• Reading a ZFS USB drive with Mac OS X Mountain Lion

  - by Karim Berrah

  The problem: I'm using a MacBook, mainly with Solaris 11, but something with Mac OS X (ML). The only missing thing is that Mac OS X can't read my external ZFS based USB drive, where I store all my data. So, I decided to look for a solution. Possible solution: I decided to use VirtualBox with a Solaris 11 VM as a passthrough to my data. Here are the required steps: Installing a Solaris 11 VM Install VirtualBox on your Mac OS X, add the extension pack (needed for USB) Plug your ZFS based USB drive on your Mac, ignore it when asked to initialize it. Create a VM for Solaris (bridged network), and before installing it, create a USB filter (in the settings of your Vbox VM, go to Ports, then USB, then add a new USB filter from the attached device "grey usb-connector logo with green plus sign")  Install a Solaris 11 VM, boot it, and install the Guest addition check with "ifconfg -a" the IP address of your Solaris VM Creating a path to your ZFS USB drive In MacOS X, use the "Disk Utility" to unmount the USB attached drive, and unplug the USB device. Switch back to VirtualBox, select the top of the window where your Solaris 11 is running plug your ZFS USB drive, select "ignore" if Mac OS invite you to initialize the disk In the VirtualBox VM menu, go to "Devices" then "USB Devices" and select from the dropping menu your "USB device" Connection your Solaris VM to the USB drive Inside Solaris, you might now check that your device is accessible by using the "format" cli command If not, repeat previous steps Now, with root privilege, force a zpool import -f myusbdevicepoolname because this pool was created on another system check that you see your new pool with "zpool status" share your pool with NFS: share -F NFS /myusbdevicepoolname Accessing the USB ZFS drive from Mac OS X This is the easiest step: access an NFS share from mac OS Create a "ZFSdrive" folder on your MacOS desktop from a terminal under mac OS: mount -t nfs IPadressofMySoalrisVM:/myusbdevicepoolname  /Users/yourusername/Desktop/ZFSdrive et voila ! you might access your data, on a ZFS USB drive, directly from your Mountain Lion Desktop. You might play with the share rights in order to alter any read/write rights as needed. You might activate compression, encryption inside the Solaris 11 VM ...

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• Building a Solaris 11 repository without network connection

  - by user12611852

  Solaris 11 has been released and is a fantastic new iteration of Oracle's rock solid, enterprise operating system.  One of the great new features is the repository based Image Packaging system.  IPS not only introduces new cloud based package installation services, it is also integrated with our zones, boot environment and ZFS file systems to provide a safe, easy and fast way to perform system updates. My customers typically don't have network access and, in fact, can't connect to any network until they have "Authority to connect."  It's useful, however, to build up a Solaris 11 system with additional software using the new Image Packaging System and locally stored repository. The Solaris 11 documentation describes how to create a locally stored repository with full explanations of what the commands do. I'm simply providing the quick and dirty steps.  The easiest way is to download the ISO image, burn to a DVD and insert into your DVD drive.  Then as root: pkg set-publisher -G '*' -g file:///cdrom/sol11repo_full/repo solaris Now you can to install software using the GUI package manager or the pkg commands.  If you would like something more permanent (or don't have a DVD drive), however, it takes a little more work. After installing Solaris 11, download (on another system perhaps) the two files that make up the Solaris 11 repository from our download site Sneaker-net the files to your Solaris 11 system Unzip and cat the two files together to create one large ISO image. The file is about 6.9 GB in size zfs create rpool/export/repoSolaris11 zfs set atime=off rpool/export/repoSolaris11 zfs set compression=on rpool/export/repoSolaris11 (save some space) lofiadm -a sol-11-1111-repo-full.iso /dev/lofi/1 mount -F hsfs /dev/lofi/1 /mnt You could stop here and set the publisher to point to the /mnt/repo location, however, this mount will not be persistent across reboots. Copy the repository from the mounted ISO image to a permanent, on disk location. rsync -aP /mnt/repo /export/repoSolaris11 pkgrepo -s /export/repoSolaris11 refresh pkg set-publisher -G '*' -g /export/repoSolaris11/repo solaris You now have a locally installed repository for adding additional software packages for Solaris 11.  The documentation also takes you through publishing your repository on the network so that others can access it.

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• ClearTrace Performance on 170GB of Trace Files

  - by Bill Graziano

  I’ve always worked to make ClearTrace perform well.  That’s probably because I spend so much time watching it work.  I’m often going through two or three gigabytes of trace files but I rarely get the chance to run it on a really large set of files. One of my clients wanted to run a full trace for a week and then analyze the results.  At the end of that week we had 847 200MB trace files for a total of nearly 170GB. I regularly use 200MB trace files when I monitor production systems.  I usually get around 300,000 statements in a file that size if it’s mostly stored procedures.  So those 847 trace files contained roughly 250 million statements.  (That’s 730 bytes per statement if you’re keeping track.  Newer trace files have some compression in them but I’m not exactly sure what they’re doing.)  On a system running 1,000 statements per second I get a new file every five minutes or so. It took 27 hours to process these files on an older development box.  That works out to 1.77MB/second.  That means ClearTrace processed about 2,654 statements per second. You can query the data while you’re loading it but I’ve found it works better to use a second instance of ClearTrace to do this.  I’m not sure why yet but I think there’s still some dependency between the two processes. ClearTrace is almost always CPU bound.  It’s really just a huge, ugly collection of regular expressions.  It only writes a summary to its database at the end of each trace file so that usually isn’t a bottleneck.  At the end of this process, the executable was using roughly 435MB of RAM.  Certainly more than when it started but I think that’s acceptable. The database where all this is stored started out at 100MB.  After processing 170GB of trace files the database had grown to 203MB.  The space savings are due to the “datawarehouse-ish” design and only storing a summary of each trace file. You can download ClearTrace for SQL Server 2008 or test out the beta version for SQL Server 2012.  Happy Tuning!

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