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  • Crond offset five minute schedule

    - by sam
    Is it possible to offset a cron script set to run every 5 minutes? I have two scripts, script 1 collects some data from one database and inserts it into another, script 2 pulls out this data and a lot of other data and creates some pretty reports from it. Both scripts need to run every 5 minutes. I want to offset script 2 by one minute so that it can create a report from the new data. E.G. I want script one to run at :00, :05, :10, :15 [...] and script two to run at :01, :06, :11, :16 [...] every hour. The scripts are not dependent on each other, and script 2 must run regardless of whether script one was successful or not. But it would be useful if the reports could have hte latest data. Is this possible with cron? Post; I have thought about using both commands in a shell script so they run immediately after each other but this wouldn't work, sometimes script 1 can get hung up on waiting for external APIs etc. so might take up to 15 mins to run, but script 2 must run every 5 minutes so doing it this way would stop/delay the execution of script 2. If I could set this in Cron it would mean script 2 would run regardless of what script 1 was doing

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  • How to implement a virtual server running Ubuntu inside a fileserver in windows?

    - by user541445
    I work in a company that has some limitations regarding their budget. They need client/server aplication. I can code the aplication, I've made mini tests on primordial applications that work. The thing is that they only have fileservers, and the application they need must be concurrent compliant, so the database must be in their local network (Fileserver is the only choice). So far, I have explored almost any option available, starting with: Desktop databases. Access (We have a license)(But concurreny is just not effective, besides it's a windows software, yuck). Sqlite (Nice, but since the information they manage is a lot, I've performed some concurrency tests with INSERTs and doing SELECTS at the same time). It fails, somehow it just stops inserting. Open office Base (I dismember a base office only to see that it was a file mode HSQLDB). I've tried, not concurrent at all. Etc (You name the Open source Desktop Database manager, and yes, I've tried that one.) Server databases Call me a stubborn person, but reading some server databases documentation say that their databases will work in a file mode. I've tried a lot of products. Postgres, MySQL, FireBird, H2, Derby, Oracle Express, IBM DB2 Express, etc. So, I really need a hand here, I've been doing this install/delete/depression thing with a lot of databases for 3 weeks, until I got with a crazy idea and I just came here to express it. So, my question comes down to this: Installing a light virtual OS software like Virtual PC and then installing in there a Server OS like an Ubuntu server inside that virtual software will work? Will it work 24/7 or when I close the virtual pc software? Will this work in a fileserver? Any suggestion, answer, critic to the place I work, crazy new concurrent database that will work in fileserver will be most than welcome.

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  • Why database partitioning didn't work? Extract from thedailywtf.com

    - by questzen
    Original link. http://thedailywtf.com/Articles/The-Certified-DBA.aspx. Article summary: The DBA suggests an approach involving rigorous partitioning, 10 partitions per disk (3 actual disks and 3 raid). The stats show that the performance is non-optimal. Then the DBA suggests an alternative of 1 partition per disk (with more added disks). This also fails. The sys-admin then sets up a single disk, single partition and saves the day. The size of disks was not mentioned but given today,s typical disk sizes (of the order of 100 GB), the partitions ; would be huge, it surprises me that a single disk with all partitions outperformed. Initially I suspect that the data was segregated and hence faster reads. But how come the performance didn't degrade as time went by with all the inserts and updates happening? Saw this on reddit, but the explanation was by far spindle/platter centered. There was no mention in the article about this. Is there any other reason? I can only guess that the tables were using a incorrect hash distribution causing non-uniform allocation across disks (wrong partitioning); this would increase fetch times. Any thoughts?

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  • Printing a PDF results in garbled text (sometimes)

    - by Scott Whitlock
    We have a system that renders a report as a PDF, and displays it in the browser for the user. In the browser, the document always appears to display fine, but when printed on one machine, it sometimes changes some of the data in the report to seemingly random characters. Here are some examples of the strings it inserts: Ebuf; Bvhvt ul1: -!3122 Ti jqqf e!Wjb; Nfttf ohf s!Tf swjdf Additionally, the inter-character spacing is weird. It sometimes writes characters overlapping each other. I noticed some repetition in the garbled text, so I typed a few of them into Google, and surprisingly got a lot of hits. Here is the string I searched for: pdf cjmp ebuf nftf up! The Google search summaries contain the garbled text. However, when I click on those links in Google, I get perfectly readable PDF files. It's as if Google's PDF crawler has the same bug. Has anyone figured this out? Is this an Acrobat Reader bug?

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  • How to find the IP Address of a vm running on VMware (or other methods of using VM)

    - by sixtyfootersdude
    I am running VMware Workstation on a Linux box. When I power on a centOS (Linux) virtual machine I cannot get mouse or keyboard control of the machine. I suspect that it has something to do with the error message: You do not have VMware Tools installed in this guest. Chose "Install VMware Tools" from the VM menu. If I click on that menu option it inserts a virtual cd with drivers etc. This does not help me since I don't have keyboard or mouse control over the machine. I was thinking that if I could figure out the IP address or hostname I could use any number of protocols to get into the machine (SSH comes to mind). How can I get the IP address or hostname of this machine? Note: I did not create this machine. A coworker created it who is no longer with the company. Would save me a lot of time if I could get into the machine. I have login credentials so that won't be a problem.

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  • Vim: auto-comment in new line

    - by padde
    Vim automatically inserts a comment when I start a new line from a commented out line, because I have set formatoptions=tcroql. For example (cursor is *): // this is a comment* and after hitting <Enter> (insert mode) or o (normal mode) i am left with: // this is a comment // * This feature is very handy when writing long multi-line comments, but often I just want a single line comment. Now if I want to end the comment series I have several options: hit <Esc>S hit <BS> three times Both of these afford three keystrokes, taken together with the <Enter> this means four keystrokes for a new line, which I think is too much. Ideally, I would like to just hit <Enter> a second time to be left with: // this is a comment * It is important that the solution will also work with different indentation levels, i.e. int main(void) { // this is a comment* } hit <Enter> int main(void) { // this is a comment // * } hit <Enter> int main(void) { // this is a comment * } I think I have seen this feature in some text editor a few years ago but I do not recall which one it was. Is anyone aware of a solution that will do this for me in Vim? Pointers in the right direction on how to roll my own solution are also very welcome.

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  • Understanding MySQL Query Caches and when to implement it?

    - by Jeff
    On our current MySQL server query cache is enabled. Qchache_hits: 31913 Qchache_inserts: 50959 Qchache_lowmem_prunes: 9320 Qchache_not_chached: 209320 Qchache_queries_in_chace: 986 com_update: 0 com_delete: 0 I do not fully understand the Query cache - I am reading about it currently and trying to understand it. Our database holds inventory data, customer data, employee data, sales data and so forth. The query is very rarely run more than once. The possibility of a query being run twice is viewing a specific sales information twice. But basically everything in our system changes constantly. It is always being updated, deleted, insterted and off the top of my head I can't picture users running the same query twice within a week. Do I even need to have the query cache enabled? I am guessing that the inserts means 51k entries have been added, but only 986 of those are being stored? Would an idea be to refresh the cache, and watch it for a week and check how many of the queries in cached are accessed maybe on a weekly basis to see if it is actually returning any benefits? Any help/guidance on this is appreciated, thanks

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  • 5 year old server upgrade

    - by rizzo0917
    I am looking to upgrade a server for a web app. Currently the application is running very sluggish. We've made some adjustments to mysql (that's another issue in itself) and made some adjustments so that heaviest quires get run on a copy of the database on another server was have as a backup, however this will not last that much longer and we are looking to upgrade. Currently the servers CPUs are (4) Intel(R) XEON(TM) CPU 2.00GHz, with 1 gig of ram. The database is 442.5 MiB, with about 1,743,808 records. There are two parts of the program, the one, side a, inserts and updates most of the data. Side b, reads the data and does some minor updates. Currently our biggest day for side a are 800 users (of 40,000 users all year) imputing the system. And our Side b is currently unknown, however we have a total of 1000 clients. The system is most likely going to cap out at 5000 side b clients, with about a year 300,000 side a users. The current database is 5 years old, so we can most likely expect the database to grow pretty rapidly, possibly double each year (which we can most likely archive older records if it comes to that). So with that being said, should we get a server for each side of the app, side a being the master, side b being the slave, any updates made on side b are router to side a. So the question is should i get 2 of these or 1. 2 x Intel Nehalem Xeon E5520 2.26Ghz (8 Cores) 12GB DDRIII Memory 500GB SATAII HDD 100Mbps Port Speed And Naturally I would need to have a redundant backup so it could potentially be 4 of them.

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  • MongoDB usage best practices

    - by andresv
    The project I'm working on uses MongoDB for some stuff so I'm creating some documents to help developers speedup the learning curve and also avoid mistakes and help them write clean & reliable code. This is my first version of it, so I'm pretty sure I will be adding more stuff to it, so stay tuned! C# Official driver notes The 10gen official MongoDB driver should always be referenced in projects by using NUGET. Do not manually download and reference assemblies in any project. C# driver quickstart guide: http://www.mongodb.org/display/DOCS/CSharp+Driver+Quickstart Reference links C# Language Center: http://www.mongodb.org/display/DOCS/CSharp+Language+Center MongoDB Server Documentation: http://www.mongodb.org/display/DOCS/Home MongoDB Server Downloads: http://www.mongodb.org/downloads MongoDB client drivers download: http://www.mongodb.org/display/DOCS/Drivers MongoDB Community content: http://www.mongodb.org/display/DOCS/CSharp+Community+Projects Tutorials Tutorial MongoDB con ASP.NET MVC - Ejemplo Práctico (Spanish):http://geeks.ms/blogs/gperez/archive/2011/12/02/tutorial-mongodb-con-asp-net-mvc-ejemplo-pr-225-ctico.aspx MongoDB and C#:http://www.codeproject.com/Articles/87757/MongoDB-and-C C# driver LINQ tutorial:http://www.mongodb.org/display/DOCS/CSharp+Driver+LINQ+Tutorial C# driver reference: http://www.mongodb.org/display/DOCS/CSharp+Driver+Tutorial Safe Mode Connection The C# driver supports two connection modes: safe and unsafe. Safe connection mode (only applies to methods that modify data in a database like Inserts, Deletes and Updates. While the current driver defaults to unsafe mode (safeMode == false) it's recommended to always enable safe mode, and force unsafe mode on specific things we know aren't critical. When safe mode is enabled, the driver internal code calls the MongoDB "getLastError" function to ensure the last operation is completed before returning control the the caller. For more information on using safe mode and their implicancies on performance and data reliability see: http://www.mongodb.org/display/DOCS/getLastError+Command If safe mode is not enabled, all data modification calls to the database are executed asynchronously (fire & forget) without waiting for the result of the operation. This mode could be useful for creating / updating non-critical data like performance counters, usage logging and so on. It's important to know that not using safe mode implies that data loss can occur without any notification to the caller. As with any wait operation, enabling safe mode also implies dealing with timeouts. For more information about C# driver safe mode configuration see: http://www.mongodb.org/display/DOCS/CSharp+getLastError+and+SafeMode The safe mode configuration can be specified at different levels: Connection string: mongodb://hostname/?safe=true Database: when obtaining a database instance using the server.GetDatabase(name, safeMode) method Collection: when obtaining a collection instance using the database.GetCollection(name, safeMode) method Operation: for example, when executing the collection.Insert(document, safeMode) method Some useful SafeMode article: http://stackoverflow.com/questions/4604868/mongodb-c-sharp-safemode-official-driver Exception Handling The driver ensures that an exception will be thrown in case of something going wrong, in case of using safe mode (as said above, when not using safe mode no exception will be thrown no matter what the outcome of the operation is). As explained here https://groups.google.com/forum/?fromgroups#!topic/mongodb-user/mS6jIq5FUiM there is no need to check for any returned value from a driver method inserting data. With updates the situation is similar to any other relational database: if an update command doesn't affect any records, the call will suceed anyway (no exception thrown) and you manually have to check for something like "records affected". For MongoDB, an Update operation will return an instance of the "SafeModeResult" class, and you can verify the "DocumentsAffected" property to ensure the intended document was indeed updated. Note: Please remember that an Update method might return a null instance instead of an "SafeModeResult" instance when safe mode is not enabled. Useful Community Articles Comments about how MongoDB works and how that might affect your application: http://ethangunderson.com/blog/two-reasons-to-not-use-mongodb/ FourSquare using MongoDB had serious scalability problems: http://mashable.com/2010/10/07/mongodb-foursquare/ Is MongoDB a replacement for Memcached? http://www.quora.com/Is-MongoDB-a-good-replacement-for-Memcached/answer/Rick-Branson MongoDB Introduction, shell, when not to use, maintenance, upgrade, backups, memory, sharding, etc: http://www.markus-gattol.name/ws/mongodb.html MongoDB Collection level locking support: https://jira.mongodb.org/browse/SERVER-1240 MongoDB performance tips: http://www.quora.com/MongoDB/What-are-some-best-practices-for-optimal-performance-of-MongoDB-particularly-for-queries-that-involve-multiple-documents Lessons learned migrating from SQL Server to MongoDB: http://www.wireclub.com/development/TqnkQwQ8CxUYTVT90/read MongoDB replication performance: http://benshepheard.blogspot.com.ar/2011/01/mongodb-replication-performance.html

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  • Oracle’s New Memory-Optimized x86 Servers: Getting the Most Out of Oracle Database In-Memory

    - by Josh Rosen, x86 Product Manager-Oracle
    With the launch of Oracle Database In-Memory, it is now possible to perform real-time analytics operations on your business data as it exists at that moment – in the DRAM of the server – and immediately return completely current and consistent data. The Oracle Database In-Memory option dramatically accelerates the performance of analytics queries by storing data in a highly optimized columnar in-memory format.  This is a truly exciting advance in database technology.As Larry Ellison mentioned in his recent webcast about Oracle Database In-Memory, queries run 100 times faster simply by throwing a switch.  But in order to get the most from the Oracle Database In-Memory option, the underlying server must also be memory-optimized. This week Oracle announced new 4-socket and 8-socket x86 servers, the Sun Server X4-4 and Sun Server X4-8, both of which have been designed specifically for Oracle Database In-Memory.  These new servers use the fastest Intel® Xeon® E7 v2 processors and each subsystem has been designed to be the best for Oracle Database, from the memory, I/O and flash technologies right down to the system firmware.Amongst these subsystems, one of the most important aspects we have optimized with the Sun Server X4-4 and Sun Server X4-8 are their memory subsystems.  The new In-Memory option makes it possible to select which parts of the database should be memory optimized.  You can choose to put a single column or table in memory or, if you can, put the whole database in memory.  The more, the better.  With 3 TB and 6 TB total memory capacity on the Sun Server X4-4 and Sun Server X4-8, respectively, you can memory-optimize more, if not your entire database.   Sun Server X4-8 CMOD with 24 DIMM slots per socket (up to 192 DIMM slots per server) But memory capacity is not the only important factor in selecting the best server platform for Oracle Database In-Memory.  As you put more of your database in memory, a critical performance metric known as memory bandwidth comes into play.  The total memory bandwidth for the server will dictate the rate in which data can be stored and retrieved from memory.  In order to achieve real-time analysis of your data using Oracle Database In-Memory, even under heavy load, the server must be able to handle extreme memory workloads.  With that in mind, the Sun Server X4-8 was designed with the maximum possible memory bandwidth, providing over a terabyte per second of total memory bandwidth.  Likewise, the Sun Server X4-4 also provides extreme memory bandwidth in an even more compact form factor with over half a terabyte per second, providing customers with scalability and choice depending on the size of the database.Beyond the memory subsystem, Oracle’s Sun Server X4-4 and Sun Server X4-8 systems provide other key technologies that enable Oracle Database to run at its best.  The Sun Server X4-4 allows for up 4.8 TB of internal, write-optimized PCIe flash while the Sun Server X4-8 allows for up to 6.4 TB of PCIe flash.  This enables dramatic acceleration of data inserts and updates to Oracle Database.  And with the new elastic computing capability of Oracle’s new x86 servers, server performance can be adapted to your specific Oracle Database workload to ensure that every last bit of processing power is utilized.Because Oracle designs and tests its x86 servers specifically for Oracle workloads, we provide the highest possible performance and reliability when running Oracle Database.  To learn more about Sun Server X4-4 and Sun Server X4-8, you can find more details including data sheets and white papers here. Josh Rosen is a Principal Product Manager for Oracle’s x86 servers, focusing on Oracle’s operating systems and software.  He previously spent more than a decade as a developer and architect of system management software. Josh has worked on system management for many of Oracle's hardware products ranging from the earliest blade systems to the latest Oracle x86 servers. 

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  • AdventureWorks2012 now available for all on SQL Azure

    - by jamiet
    Three days ago I tweeted this: Idea. MSFT could host read-only copies of all the [AdventureWorks] DBs up on #sqlazure for the SQL community to use. RT if agree #sqlfamily — Jamie Thomson (@jamiet) March 24, 2012 Evidently I wasn't the only one that thought this was a good idea because as you can see from the screenshot that tweet has, so far, been retweeted more than fifty times. Clearly there is a desire to see the AdventureWorks databases made available for the community to noodle around on so I am pleased to announce that as of today you can do just that - [AdventureWorks2012] now resides on SQL Azure and is available for anyone, absolutely anyone, to connect to and use* for their own means. *By use I mean "issue some SELECT statements". You don't have permission to issue INSERTs, UPDATEs, DELETEs or EXECUTEs I'm afraid - if you want to do that then you can get the bits and host it yourself. This database is free for you to use but SQL Azure is of course not free so before I give you the credentials please lend me your ears eyes for a short while longer. AdventureWorks on Azure is being provided for the SQL Server community to use and so I am hoping that that same community will rally around to support this effort by making a voluntary donation to support the upkeep which, going on current pricing, is going to be $119.88 per year. If you would like to contribute to keep AdventureWorks on Azure up and running for that full year please donate via PayPal to [email protected]: Any amount, no matter how small, will help. If those 50+ people that retweeted me beforehand all contributed $2 then that would just about be enough to keep this up for a year. If the community contributes more that we need then there are a number of additional things that could be done: Host additional databases (Northwind anyone??) Host in more datacentres (this first one is in Western Europe) Make a charitable donation That last one, a charitable donation, is something I would really like to do. The SQL Community have proved before that they can make a significant contribution to charitable orgnisations through purchasing the SQL Server MVP Deep Dives book and I harbour hopes that AdventureWorks on Azure can continue in that vein. So please, if you think AdventureWorks on Azure is something that is worth supporting please make a contribution. OK, with the prickly subject of begging for cash out of the way let me share the details that you need to connect to [AdventureWorks2012] on SQL Azure: Server mhknbn2kdz.database.windows.net  Database AdventureWorks2012 User sqlfamily Password sqlf@m1ly That user sqlfamily has all the permissions required to enable you to query away to your heart's content. Here is the code that I used to set it up: CREATE USER sqlfamily FOR LOGIN sqlfamily;CREATE ROLE sqlfamilyrole;EXEC sp_addrolemember 'sqlfamilyrole','sqlfamily';GRANT VIEW DEFINITION ON Database::AdventureWorks2012 TO sqlfamilyrole;GRANT VIEW DATABASE STATE ON Database::AdventureWorks2012 TO sqlfamilyrole;GRANT SHOWPLAN TO sqlfamilyrole;EXEC sp_addrolemember 'db_datareader','sqlfamilyrole'; You can connect to the database using SQL Server Management Studio (instructions to do that are provided at Walkthrough: Connecting to SQL Azure via the SSMS) or you can use the web interface at https://mhknbn2kdz.database.windows.net: Lastly, just for a bit of fun I created a table up there called [dbo].[SqlFamily] into which you can leave a small calling card. Simply execute the following SQL statement (changing the values of course): INSERT [dbo].[SqlFamily]([Name],[Message],[TwitterHandle],[BlogURI])VALUES ('Your name here','Some Message','your twitter handle (optional)','Blog URI (optional)'); [Id] is an IDENTITY field and there is a default constraint on [DT] hence there is no need to supply a value for those. Note that you only have INSERT permissions, not UPDATE or DELETE so make sure you get it right first time! Any offensive or distasteful remarks will of course be deleted :) Thank you for reading this far and have fun using AdventureWorks on Azure. I hope it proves to be useful for some of you. @jamiet AdventureWorks on Azure - Provided by the SQL Server community, for the SQL Server community!

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  • #altnetseattle &ndash; REST Services

    - by GeekAgilistMercenary
    Below are the notes I made in the REST Architecture Session I helped kick off with Andrew. RSS, ATOM, and such needed for better discovery.  i.e. there still is a need for some type of discovery. Difficult is modeling behaviors in a RESTful way.  ??  Invoking some type of state against an object.  For instance in the case of a POST vs. a GET.  The GET is easy, comes back as is, but what about a POST, which often changes some state or something. Challenge is doing multiple workflows with stateful workflows.  How does batch work.  Maybe model the batch as a resource. Frameworks aren’t particularly part of REST, REST is REST.  But point argued that REST is modeled, or part of modeling a state machine of some sort… ? Nothing is 100% reliable w/ REST – comparisons drawn with TCP/IP.  Sufficient probability is made however for the communications, but the idea of a possible failure has to be built into the usage model of REST. Ruby on Rails / RESTfully, and others used.  What were their issues, what do they do.  ATOM feeds, object serialized, using LINQ to XML w/ this.  No state machine libraries. Idempotent areas around REST and single change POST changes are inherent in the architecture. REST – one of the constrained languages is for the interaction w/ the system.  Limiting what can be done on the resources.  - disagreement, there is no agreed upon REST verbs. Sam Ruby – RESTful services.  Expanded the verbs within REST/HTTP pushes you off the web.  Of the existing verbs POST leaves the most up for debate. Robert Reem used Factory to deal with the POST to handle the new state.  The POST identifying what it just did by the return. Different states are put into POST, so that new prospective verbs, without creating verbs for REST/HTTP can be used to advantage without breaking universal clients. Biggest issue with REST services is their lack of state, yet it is also one of their biggest strengths.  What happens is that the client takes up the often onerous task of handling all state, state machines, and other extraneous resource management.  All the GETs, POSTs, DELETEs, INSERTs get all pushed into abstraction.  My 2 cents is that this in a way ends up pushing a huge proprietary burden onto the REST services often removing the point of REST to be simple and to the point. WADL does provide discovery and some state control (sort of?) Statement made, "WADL" isn't needed.  The JSON, XML, or other client side returned data handles this. I then applied the law of 2 feet rule for myself and headed to finish up these notes, post to the Wiki, and figure out what I was going to do next.  For the original Wiki entry check it out here. I will be adding more to this post with a subsequent post.  Please do feel free to post your thoughts and ideas about this, as I am sure everyone in the session will have more for elaboration.

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  • MySql Connector/NET 6.7.4 GA has been released

    - by fernando
    MySQL Connector/Net 6.7.4, a new version of the all-managed .NET driver for MySQL has been released.  This is the GA, is feature complete. It is recommended for production environments.  It is appropriate for use with MySQL server versions 5.0-5.7.  It is now available in source and binary form from http://dev.mysql.com/downloads/connector/net/#downloads and mirror sites (note that not all mirror sites may be up to date at this point-if you can't find this version on some mirror, please try again later or choose another download site.) The 6.7 version of MySQL Connector/Net brings the following new features: -  WinRT Connector. -  Load Balancing support. -  Entity Framework 5.0 support. -  Memcached support for Innodb Memcached plugin. -  This version also splits the product in two: from now on, starting version 6.7, Connector/NET will include only the former Connector/NET ADO.NET driver, Entity Framework and ASP.NET providers (Core libraries of MySql.Data, MySql.Data.Entity & MySql.Web). While all the former product Visual Studio integration (Design support, Intellisense, Debugger) are available as part of MySql Windows Installer under the name "MySql for Visual Studio".  WinRT Connector  ------------------------------------------- Now you can write MySql data access apps in Windows Runtime (aka Store Apps) using the familiar API of Connector/NET for .NET.  Load Balancing Support  -------------------------------------------  Now you can setup a Replication or Cluster configuration in the backend, and Connector/NET will balance the load of queries among all servers making up the backend topology.  Entity Framework 5.0  -------------------------------------------  Connector/NET is now compatible with EF 5, including special features of EF 5 like spatial types.  Memcached  -------------------------------------------  Just setup Innodb memcached plugin and use Connector/NET new APIs to establish a client to MySql 5.6 server's memcached daemon.  Bug fixes included in this release: - Fix for Entity Framework when inserts data having Identity columns (Oracle bug #16494585). - Fix for Connector/NET cannot read data from a MySql table using UTF-16/UTF-32 (MySql bug #69169, Oracle bug #16776818). - Fix for Malformed query in Entity Framework when eager loading due to multiple projections (MySql bug #67183, Oracle bug #16872852). - Fix for database objects with 'dbo' prefix when using automatic migrations in Entity Framework 5.0 (Oracle bug #16909439). - Fix for bug IIS application pool reset worker process causes website to crash (Oracle bug #16909237, Mysql Bug #67665). - Fix for bug Error in LINQ to Entities query when using Distinct().Count() (MySql Bug #68513, Oracle bug #16950146). - Fix for occasionally return no data when socket connection is slow, interrupted or delayed (MySql bug #69039, Oracle bug #16950212). - Fix for ConstraintException when filling a datatable (MySql bug #65065, Oracle bug #16952323). - Fix for Data Provider is not found after uninstalling Mysql for visual studio (Oracle bug #16973456). - Fix for nested sql generated for LINQ to Entities query with Take and Order by (MySql bug #65723, Oracle bug #16973939). The documentation is available at http://dev.mysql.com/doc/refman/5.7/en/connector-net.html  Enjoy and thanks for the support!  --  Fernando Gonzalez Sanchez | Software Engineer |  Oracle MySQL Windows Experience Team, Connector/NET  Guadalajara | Jalisco | Mexico 

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  • T-SQL Tuesday #025 &ndash; CHECK Constraint Tricks

    - by Most Valuable Yak (Rob Volk)
    Allen White (blog | twitter), marathoner, SQL Server MVP and presenter, and all-around awesome author is hosting this month's T-SQL Tuesday on sharing SQL Server Tips and Tricks.  And for those of you who have attended my Revenge: The SQL presentation, you know that I have 1 or 2 of them.  You'll also know that I don't recommend using anything I talk about in a production system, and will continue that advice here…although you might be sorely tempted.  Suffice it to say I'm not using these examples myself, but I think they're worth sharing anyway. Some of you have seen or read about SQL Server constraints and have applied them to your table designs…unless you're a vendor ;)…and may even use CHECK constraints to limit numeric values, or length of strings, allowable characters and such.  CHECK constraints can, however, do more than that, and can even provide enhanced security and other restrictions. One tip or trick that I didn't cover very well in the presentation is using constraints to do unusual things; specifically, limiting or preventing inserts into tables.  The idea was to use a CHECK constraint in a way that didn't depend on the actual data: -- create a table that cannot accept data CREATE TABLE dbo.JustTryIt(a BIT NOT NULL PRIMARY KEY, CONSTRAINT chk_no_insert CHECK (GETDATE()=GETDATE()+1)) INSERT dbo.JustTryIt VALUES(1)   I'll let you run that yourself, but I'm sure you'll see that this is a pretty stupid table to have, since the CHECK condition will always be false, and therefore will prevent any data from ever being inserted.  I can't remember why I used this example but it was for some vague and esoteric purpose that applies to about, maybe, zero people.  I come up with a lot of examples like that. However, if you realize that these CHECKs are not limited to column references, and if you explore the SQL Server function list, you could come up with a few that might be useful.  I'll let the names describe what they do instead of explaining them all: CREATE TABLE NoSA(a int not null, CONSTRAINT CHK_No_sa CHECK (SUSER_SNAME()<>'sa')) CREATE TABLE NoSysAdmin(a int not null, CONSTRAINT CHK_No_sysadmin CHECK (IS_SRVROLEMEMBER('sysadmin')=0)) CREATE TABLE NoAdHoc(a int not null, CONSTRAINT CHK_No_AdHoc CHECK (OBJECT_NAME(@@PROCID) IS NOT NULL)) CREATE TABLE NoAdHoc2(a int not null, CONSTRAINT CHK_No_AdHoc2 CHECK (@@NESTLEVEL>0)) CREATE TABLE NoCursors(a int not null, CONSTRAINT CHK_No_Cursors CHECK (@@CURSOR_ROWS=0)) CREATE TABLE ANSI_PADDING_ON(a int not null, CONSTRAINT CHK_ANSI_PADDING_ON CHECK (@@OPTIONS & 16=16)) CREATE TABLE TimeOfDay(a int not null, CONSTRAINT CHK_TimeOfDay CHECK (DATEPART(hour,GETDATE()) BETWEEN 0 AND 1)) GO -- log in as sa or a sysadmin server role member, and try this: INSERT NoSA VALUES(1) INSERT NoSysAdmin VALUES(1) -- note the difference when using sa vs. non-sa -- then try it again with a non-sysadmin login -- see if this works: INSERT NoAdHoc VALUES(1) INSERT NoAdHoc2 VALUES(1) GO -- then try this: CREATE PROCEDURE NotAdHoc @val1 int, @val2 int AS SET NOCOUNT ON; INSERT NoAdHoc VALUES(@val1) INSERT NoAdHoc2 VALUES(@val2) GO EXEC NotAdHoc 2,2 -- which values got inserted? SELECT * FROM NoAdHoc SELECT * FROM NoAdHoc2   -- and this one just makes me happy :) INSERT NoCursors VALUES(1) DECLARE curs CURSOR FOR SELECT 1 OPEN curs INSERT NoCursors VALUES(2) CLOSE curs DEALLOCATE curs INSERT NoCursors VALUES(3) SELECT * FROM NoCursors   I'll leave the ANSI_PADDING_ON and TimeOfDay tables for you to test on your own, I think you get the idea.  (Also take a look at the NoCursors example, notice anything interesting?)  The real eye-opener, for me anyway, is the ability to limit bad coding practices like cursors, ad-hoc SQL, and sa use/abuse by using declarative SQL objects.  I'm sure you can see how and why this would come up when discussing Revenge: The SQL.;) And the best part IMHO is that these work on pretty much any version of SQL Server, without needing Policy Based Management, DDL/login triggers, or similar tools to enforce best practices. All seriousness aside, I highly recommend that you spend some time letting your mind go wild with the possibilities and see how far you can take things.  There are no rules! (Hmmmm, what can I do with rules?) #TSQL2sDay

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  • Crime Scene Investigation: SQL Server

    - by Rodney Landrum
    “The packages are running slower in Prod than they are in Dev” My week began with this simple declaration from one of our lead BI developers, quickly followed by an emailed spreadsheet demonstrating that, over 5 executions, an extensive ETL process was running average 630 seconds faster on Dev than on Prod. The situation needed some scientific investigation to determine why the same code, the same data, the same schema would yield consistently slower results on a more powerful server. Prod had yet to be officially christened with a “Go Live” date so I had the time, and having recently been binge watching CSI: New York, I also had the inclination. An inspection of the two systems, Prod and Dev, revealed the first surprise: although Prod was indeed a “bigger” system, with double the amount of RAM of Dev, the latter actually had twice as many processor cores. On neither system did I see much sign of resources being heavily taxed, while the ETL process was running. Without any real supporting evidence, I jumped to a conclusion that my years of performance tuning should have helped me avoid, and that was that the hardware differences explained the better performance on Dev. We spent time setting up a Test system, similarly scoped to Prod except with 4 times the cores, and ported everything across. The results of our careful benchmarks left us truly bemused; the ETL process on the new server was slower than on both other systems. We burned more time tweaking server configurations, monitoring IO and network latency, several times believing we’d uncovered the smoking gun, until the results of subsequent test runs pitched us back into confusion. Finally, I decided, enough was enough. Hadn’t I learned very early in my DBA career that almost all bottlenecks were caused by code and database design, not hardware? It was time to get back to basics. With over 100 SSIS packages and hundreds of queries, each handling specific tasks such as file loads, bulk inserts, transforms, logging, and so on, the task seemed formidable. And yet, after barely an hour spent with Profiler, Extended Events, and wait statistics DMVs, I had a lead in the shape of a query that joined three tables, containing millions of rows, returned 3279 results, but performed 239K logical reads. As soon as I looked at the execution plans for the query in Dev and Test I saw the culprit, an implicit conversion warning on a join predicate field that was numeric in one table and a varchar(50) in another! I turned this information over to the BI developers who quickly resolved the data type mismatches and found and fixed “several” others as well. After the schema changes the same query with the same databases ran in under 1 second on all systems and reduced the logical reads down to fewer than 300. The analysis also revealed that on Dev, the ETL task was pulling data across a LAN, whereas Prod and Test were connected across slower WAN, in large part explaining why the same process ran slower on the latter two systems. Loading the data locally on Prod delivered a further 20% gain in performance. As we progress through our DBA careers we learn valuable lessons. Sometimes, with a project deadline looming and pressure mounting, we choose to forget them. I was close to giving into the temptation to throw more hardware at the problem. I’m pleased at least that I resisted, though I still kick myself for not looking at the code on day one. It can seem a daunting prospect to return to the fundamentals of the code so close to roll out, but with the right tools, and surprisingly little time, you can collect the evidence that reveals the true problem. It is a lesson I trust I will remember for my next 20 years as a DBA, if I’m ever again tempted to bypass the evidence.

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  • E-Business Suite : Role of CHUNK_SIZE in Oracle Payroll

    - by Giri Mandalika
    Different batch processes in Oracle Payroll flow have the ability to spawn multiple child processes (or threads) to complete the work in hand. The number of child processes to fork is controlled by the THREADS parameter in APPS.PAY_ACTION_PARAMETERS view. THREADS parameter The default value for THREADS parameter is 1, which is fine for a single-processor system but not optimal for the modern multi-core multi-processor systems. Setting the THREADS parameter to a value equal to or less than the total number of [virtual] processors available on the system may improve the performance of payroll processing. However on the down side, since multiple child processes operate against the same set of payroll tables in HR schema, database may experience undesired consequences such as buffer busy waits and index contention, which results in giving up some of the gains achieved by using multiple child processes/threads to process the work. Couple of other action parameters, CHUNK_SIZE and CHUNK_SHUFFLE, help alleviate the database contention. eg., Set a value for THREADS parameter as shown below. CONNECT APPS/APPS_PASSWORD UPDATE PAY_ACTION_PARAMETERS SET PARAMETER_VALUE = DESIRED_VALUE WHERE PARAMETER_NAME = 'THREADS'; COMMIT; (I am not aware of any maximum value for THREADS parameter) CHUNK_SIZE parameter The size of each commit unit for the batch process is controlled by the CHUNK_SIZE action parameter. In other words, chunking is the act of splitting the assignment actions into commit groups of desired size represented by the CHUNK_SIZE parameter. The default value is 20, and each thread processes one chunk at a time -- which means each child process inserts or processes 20 assignment actions at any time. When multiple threads are configured, each thread picks up a chunk to process, completes the assignment actions and then picks up another chunk. This is repeated until all the chunks are exhausted. It is possible to use different chunk sizes in different batch processes. During the initial phase of processing, CHUNK_SIZE number of assignment actions are inserted into relevant table(s). When multiple child processes are inserting data at the same time into the same set of tables, as explained earlier, database may experience contention. The default value of 20 is mostly optimal in such a case. Experiment with different values for the initial phase by +/-10 for CHUNK_SIZE parameter and observe the performance impact. A larger value may make sense during the main processing phase. Again experimentation is the key in finding the suitable value for your environment. Start with a large value such as 2000 for the chunk size, then increment or decrement the size by 500 at a time until an optimal value is found. eg., Set a value for CHUNK_SIZE parameter as shown below. CONNECT APPS/APPS_PASSWORD UPDATE PAY_ACTION_PARAMETERS SET PARAMETER_VALUE = DESIRED_VALUE WHERE PARAMETER_NAME = 'CHUNK_SIZE'; COMMIT; CHUNK_SIZE action parameter accepts a value that is as low as 1 or as high as 16000. CHUNK SHUFFLE parameter By default, chunks of assignment actions are processed sequentially by all threads - which may not be a good thing especially given that all child processes/threads performing similar actions against the same set of tables almost at the same time. By saying not a good thing, I mean to say that the default behavior leads to contention in the database (in data blocks, for example). It is possible to relieve some of that database contention by randomizing the processing order of chunks of assignment actions. This behavior is controlled by the CHUNK SHUFFLE action parameter. Chunk processing is not randomized unless explicitly configured. eg., Set chunk shuffling as shown below. CONNECT APPS/APPS_PASSWORD UPDATE PAY_ACTION_PARAMETERS SET PARAMETER_VALUE = 'Y' WHERE PARAMETER_NAME = 'CHUNK SHUFFLE'; COMMIT; Finally I recommend checking the following document out for additional details and additional pay action tunable parameters that may speed up the processing of Oracle Payroll.     My Oracle Support Doc ID: 226987.1 Oracle 11i & R12 Human Resources (HRMS) & Benefits (BEN) Tuning & System Health Checks Also experiment with different combinations of parameters and values until the right set of action parameters and values are found for your deployment.

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  • What is a good design pattern / lib for iOS 5 to synchronize with a web service?

    - by Junto
    We are developing an iOS application that needs to synchronize with a remote server using web services. The existing web services have an "operations" style rather than REST (implemented in WCF but exposing JSON HTTP endpoints). We are unsure of how to structure the web services to best fit with iOS and would love some advice. We are also interested in how to manage the synchronization process within iOS. Without going into detailed specifics, the application allows the user to estimate repair costs at a remote site. These costs are broken down by room and item. If the user has an internet connection this data can be sent back to the server. Multiple photographs can be taken of each item, but they will be held in a separate queue, which sends when the connection is optimal (ideally wifi). Our backend application controls the unique ids for each room and item. Thus, each time we send these costs to the server, the server echoes the central database ids back, thus, that they can be synchronized in the mobile app. I have simplified this a little, since the operations contract is actually much larger, but I just want to illustrate the basic requirements without complicating matters. Firstly, the web service architecture: We currently have two operations: GetCosts and UpdateCosts. My assumption is that if we used a strict REST architecture we would need to break our single web service operations into multiple smaller services. This would make the services much more chatty and we would also have to guarantee a delivery order from the app. For example, we need to make sure that containing rooms are added before the item. Although this seems much more RESTful, our perception is that these extra calls are expensive connections (security checks, database calls, etc). Does the type of web api (operation over service focus) determine chunky vs chatty? Since this is mobile (3G), are we better handling lots of smaller messages, or a few large ones? Secondly, the iOS side. What is the current advice on how to manage data synchronization within the iOS (5) app itself. We need multiple queues and we need to guarantee delivery order in each queue (and technically, ordering between queues). The server needs to control unique ids and other properties and echo them back to the application. The application then needs to update an internal database and when re-updating, make sure the correct ids are available in the update message (essentially multiple inserts and updates in one call). Our backend has a ton of business logic operating on these cost estimates. We don't want any of this in the app itself. Currently the iOS app sends the cost data, and then the server echoes that data back with populated ids (and other data). The existing cost data is deleted and the echoed response data is added to the client database on the device. This is causing us problems, because any photos might not have been sent, but the original entity tree has been removed and replaced. Obviously updating the costs tree rather than replacing it would remove this problem, but I'm not sure if there are any nice xcode libraries out there to do such things. I welcome any advice you might have.

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  • Internet of Things Becoming Reality

    - by kristin.jellison
    The Internet of Things is not just on the radar—it’s becoming a reality. A globally connected continuum of devices and objects will unleash untold possibilities for businesses and the people they touch. But the “things” are only a small part of a much larger, integrated architecture. A great example of this comes from the healthcare industry. Imagine an expectant mother who needs to watch her blood pressure. She lives in a mountain village 100 miles away from medical attention. Luckily, she can use a small “wearable” device to monitor her status and wirelessly transmit the information to a healthcare hub in her village. Now, say the healthcare hub identifies that the expectant mother’s blood pressure is dangerously high. It sends a real-time alert to the patient’s wearable device, advising her to contact her doctor. It also pushes an alert with the patient’s historical data to the doctor’s tablet PC. He inserts a smart security card into the tablet to verify his identity. This ensures that only the right people have access to the patient’s data. Then, comparing the new data with the patient’s medical history, the doctor decides she needs urgent medical attention. GPS tracking devices on ambulances in the field identify and dispatch the closest one available. An alert also goes to the closest hospital with the necessary facilities. It sends real-time information on her condition directly from the ambulance. So when she arrives, they already have a treatment plan in place to ensure she gets the right care. The Internet of Things makes a huge difference for the patient. She receives personalized and responsive healthcare. But this technology also helps the businesses involved. The healthcare provider achieves a competitive advantage in its services. The hospital benefits from cost savings through more accurate treatment and better application of services. All of this, in turn, translates into savings on insurance claims. This is an ideal scenario for the Internet of Things—when all the devices integrate easily and when the relevant organizations have all the right systems in place. But in reality, that can be difficult to achieve. Core design principles are required to make the whole system work. Open standards allow these systems to talk to each other. Integrated security protects personal, financial, commercial and regulatory information. A reliable and highly available systems infrastructure is necessary to keep these systems running 24/7. If this system were just made up of separate components, it would be prohibitively complex and expensive for almost any organization. The solution is integration, and Oracle is leading the way. We’re developing converged solutions, not just from device to datacenter, but across devices, utilizing the Java platform, and through data acquisition and management, integration, analytics, security and decision-making. The Internet of Things (IoT) requires the predictable action and interaction of a potentially endless number of components. It’s in that convergence that the true value of the Internet of Things emerges. Partners who take the comprehensive view and choose to engage with the Internet of Things as a fully integrated platform stand to gain the most from the Internet of Things’ many opportunities. To discover what else Oracle is doing to connect the world, read about Oracle’s Internet of Things Platform. Learn how you can get involved as a partner by checking out the Oracle Java Knowledge Zone. Best regards, David Hicks

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  • bulk insert and update with ADO.NET Entity Framework

    - by Keith Barrows
    I am writing a small application that does a lot of feed processing. I want to use LINQ EF for this as speed is not an issue, it is a single user app and, in the end, will only be used once a month. My questions revolves around the best way to do bulk inserts using LINQ EF. After parsing the incoming data stream I end up with a List of values. Since the end user may end up trying to import some duplicate data I would like to "clean" the data during insert rather than reading all the records, doing a for loop, rejecting records, then finally importing the remainder. This is what I am currently doing: DateTime minDate = dataTransferObject.Min(c => c.DoorOpen); DateTime maxDate = dataTransferObject.Max(c => c.DoorOpen); using (LabUseEntities myEntities = new LabUseEntities()) { var recCheck = myEntities.ImportDoorAccess.Where(a => a.DoorOpen >= minDate && a.DoorOpen <= maxDate).ToList(); if (recCheck.Count > 0) { foreach (ImportDoorAccess ida in recCheck) { DoorAudit da = dataTransferObject.Where(a => a.DoorOpen == ida.DoorOpen && a.CardNumber == ida.CardNumber).First(); if (da != null) da.DoInsert = false; } } ImportDoorAccess newIDA; foreach (DoorAudit newDoorAudit in dataTransferObject) { if (newDoorAudit.DoInsert) { newIDA = new ImportDoorAccess { CardNumber = newDoorAudit.CardNumber, Door = newDoorAudit.Door, DoorOpen = newDoorAudit.DoorOpen, Imported = newDoorAudit.Imported, RawData = newDoorAudit.RawData, UserName = newDoorAudit.UserName }; myEntities.AddToImportDoorAccess(newIDA); } } myEntities.SaveChanges(); } I am also getting this error: System.Data.UpdateException was unhandled Message="Unable to update the EntitySet 'ImportDoorAccess' because it has a DefiningQuery and no element exists in the element to support the current operation." Source="System.Data.SqlServerCe.Entity" What am I doing wrong? Any pointers are welcome.

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  • InvalidOperationException when calling SaveChanges in .NET Entity framework

    - by Pär Björklund
    Hi, I'm trying to learn how to use the Entity framework but I've hit an issue I can't solve. What I'm doing is that I'm walking through a list of Movies that I have and inserts each one into a simple database. This is the code I'm using private void AddMovies(DirectoryInfo dir) { MovieEntities db = new MovieEntities(); foreach (DirectoryInfo d in dir.GetDirectories()) { Movie m = new Movie { Name = d.Name, Path = dir.FullName }; db.AddToMovies(movie); } db.SaveChanges(); } When I do this I get an exception at db.SaveChanges() that read. The changes to the database were committed successfully, but an error occurred while updating the object context. The ObjectContext might be in an inconsistent state. Inner exception message: AcceptChanges cannot continue because the object's key values conflict with another object in the ObjectStateManager. Make sure that the key values are unique before calling AcceptChanges. I haven't been able to find out what's causing this issue. My database table contains three columns Id int autoincrement Name nchar(255) Path nchar(255) Update: I Checked my edmx file and the SSDL section have the StoreGeneratedPattern="Identity" as suggested. I also followed the blog post and tried to add ClientAutoGenerated="true" and StoreGenerated="true" in the CSDL as suggested there. This resulted in compile errors ( Error 5: The 'ClientAutoGenerated' attribute is not allowed.). Since the blog post is from 2006 and it has a link to a follow up post I assume it's been changed. However, I cannot read the followup post since it seems to require an msdn account.

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  • How to Authenticate to Active Directory Services (ADs) using .NET 3.5 / C#

    - by Ranger Pretzel
    After much struggling, I've figured out how to authenticate to my company's Active Directory using just 2 lines of code with the Domain, Username, and Password in .NET 2.0 (in C#): // set domain, username, password, and security parameters DirectoryEntry entry = new DirectoryEntry("LDAP://" + domain, username, password, AuthenticationTypes.Secure | AuthenticationTypes.SecureSocketsLayer); // force Bind to AD server to authenticate object obj = entry.NativeObject; If the 2nd line throws an exception, then the credentials and/or parameters were bad. (Specific reason can be found in the exception.) If no exception, then the credentials are good. Trying to do this in .NET 3.5 looks like it should be easy, but has me at a roadblock instead. Specifically, I've been working with this example: PrincipalContext domainContext = new PrincipalContext(ContextType.Domain, domain); using (domainContext) { return domainContext.ValidateCredentials(UserName, Password); } Unfortunately, this doesn't work for me as I don't have both ContextOptions set to Sealed/Secure and SSL (like I did above in the .NET 2.0 code.) There is an alternate constructor for PrincipalContext that allows setting the ContextOptions, but this also requires supplying a Distinguished Name (DN) of a Container Object and I don't know exactly what mine is or how I would find out. public PrincipalContext(ContextType contextType, string name, string container, ContextOptions options); // container: // The container on the store to use as the root of the context. All queries // are performed under this root, and all inserts are performed into this container. // For System.DirectoryServices.AccountManagement.ContextType.Domain and System.DirectoryServices.AccountManagement.ContextType.ApplicationDirectory // context types, this parameter is the distinguished name of a container object. Any suggestions?

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  • Wicket, Spring and Hibernate - Testing with Unitils - Error: Table not found in statement [select re

    - by John
    Hi there. I've been following a tutorial and a sample application, namely 5 Days of Wicket - Writing the tests: http://www.mysticcoders.com/blog/2009/03/10/5-days-of-wicket-writing-the-tests/ I've set up my own little project with a simple shoutbox that saves messages to a database. I then wanted to set up a couple of tests that would make sure that if a message is stored in the database, the retrieved object would contain the exact same data. Upon running mvn test all my tests fail. The exception has been pasted in the first code box underneath. I've noticed that even though my unitils.properties says to use the 'hdqldb'-dialect, this message is still output in the console window when starting the tests: INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect. I've added the entire dump from the console as well at the bottom of this post (which goes on for miles and miles :-)). Upon running mvn test all my tests fail, and the exception is: Caused by: java.sql.SQLException: Table not found in statement [select relname from pg_class] at org.hsqldb.jdbc.Util.sqlException(Unknown Source) at org.hsqldb.jdbc.jdbcStatement.fetchResult(Unknown Source) at org.hsqldb.jdbc.jdbcStatement.executeQuery(Unknown Source) at org.apache.commons.dbcp.DelegatingStatement.executeQuery(DelegatingStatement.java:188) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.initSequences(DatabaseMetadata.java:151) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.(DatabaseMetadata.java:69) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.(DatabaseMetadata.java:62) at org.springframework.orm.hibernate3.LocalSessionFactoryBean$3.doInHibernate(LocalSessionFactoryBean.java:958) at org.springframework.orm.hibernate3.HibernateTemplate.doExecute(HibernateTemplate.java:419) ... 49 more I've set up my unitils.properties file like so: database.driverClassName=org.hsqldb.jdbcDriver database.url=jdbc:hsqldb:mem:PUBLIC database.userName=sa database.password= database.dialect=hsqldb database.schemaNames=PUBLIC My abstract IntegrationTest class: @SpringApplicationContext({"/com/upbeat/shoutbox/spring/applicationContext.xml", "applicationContext-test.xml"}) public abstract class AbstractIntegrationTest extends UnitilsJUnit4 { private ApplicationContext applicationContext; } applicationContext-test.xml: <?xml version="1.0" encoding="UTF-8"? <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:tx="http://www.springframework.org/schema/tx" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.5.xsd" <bean id="dataSource" class="org.unitils.database.UnitilsDataSourceFactoryBean"/ </beans and finally, one of the test classes: package com.upbeat.shoutbox.web; import org.apache.wicket.spring.injection.annot.test.AnnotApplicationContextMock; import org.apache.wicket.util.tester.WicketTester; import org.junit.Before; import org.junit.Test; import org.unitils.spring.annotation.SpringBeanByType; import com.upbeat.shoutbox.HomePage; import com.upbeat.shoutbox.integrations.AbstractIntegrationTest; import com.upbeat.shoutbox.persistence.ShoutItemDao; import com.upbeat.shoutbox.services.ShoutService; public class TestHomePage extends AbstractIntegrationTest { @SpringBeanByType private ShoutService svc; @SpringBeanByType private ShoutItemDao dao; protected WicketTester tester; @Before public void setUp() { AnnotApplicationContextMock appctx = new AnnotApplicationContextMock(); appctx.putBean("shoutItemDao", dao); appctx.putBean("shoutService", svc); tester = new WicketTester(); } @Test public void testRenderMyPage() { //start and render the test page tester.startPage(HomePage.class); //assert rendered page class tester.assertRenderedPage(HomePage.class); //assert rendered label component tester.assertLabel("message", "If you see this message wicket is properly configured and running"); } } Dump from console when running mvn test: [INFO] Scanning for projects... [INFO] ------------------------------------------------------------------------ [INFO] Building shoutbox [INFO] task-segment: [test] [INFO] ------------------------------------------------------------------------ [INFO] [resources:resources {execution: default-resources}] [WARNING] File encoding has not been set, using platform encoding Cp1252, i.e. build is platform dependent! [WARNING] Using platform encoding (Cp1252 actually) to copy filtered resources, i.e. build is platform dependent! [INFO] Copying 3 resources [INFO] Copying 4 resources [INFO] [compiler:compile {execution: default-compile}] [INFO] Nothing to compile - all classes are up to date [INFO] [resources:testResources {execution: default-testResources}] [WARNING] File encoding has not been set, using platform encoding Cp1252, i.e. build is platform dependent! [WARNING] Using platform encoding (Cp1252 actually) to copy filtered resources, i.e. build is platform dependent! [INFO] Copying 2 resources [INFO] [compiler:testCompile {execution: default-testCompile}] [INFO] Nothing to compile - all classes are up to date [INFO] [surefire:test {execution: default-test}] [INFO] Surefire report directory: F:\Projects\shoutbox\target\surefire-reports INFO - ConfigurationLoader - Loaded main configuration file unitils-default.properties from classpath. INFO - ConfigurationLoader - Loaded custom configuration file unitils.properties from classpath. INFO - ConfigurationLoader - No local configuration file unitils-local.properties found. ------------------------------------------------------- T E S T S ------------------------------------------------------- Running com.upbeat.shoutbox.web.TestViewShoutsPage Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.02 sec INFO - Version - Hibernate Annotations 3.4.0.GA INFO - Environment - Hibernate 3.3.0.SP1 INFO - Environment - hibernate.properties not found INFO - Environment - Bytecode provider name : javassist INFO - Environment - using JDK 1.4 java.sql.Timestamp handling INFO - Version - Hibernate Commons Annotations 3.1.0.GA INFO - AnnotationBinder - Binding entity from annotated class: com.upbeat.shoutbox.models.ShoutItem INFO - QueryBinder - Binding Named query: item.getById = from ShoutItem item where item.id = :id INFO - QueryBinder - Binding Named query: item.find = from ShoutItem item order by item.timestamp desc INFO - QueryBinder - Binding Named query: item.count = select count(item) from ShoutItem item INFO - EntityBinder - Bind entity com.upbeat.shoutbox.models.ShoutItem on table SHOUT_ITEMS INFO - AnnotationConfiguration - Hibernate Validator not found: ignoring INFO - notationSessionFactoryBean - Building new Hibernate SessionFactory INFO - earchEventListenerRegister - Unable to find org.hibernate.search.event.FullTextIndexEventListener on the classpath. Hibernate Search is not enabled. INFO - ConnectionProviderFactory - Initializing connection provider: org.springframework.orm.hibernate3.LocalDataSourceConnectionProvider INFO - SettingsFactory - RDBMS: HSQL Database Engine, version: 1.8.0 INFO - SettingsFactory - JDBC driver: HSQL Database Engine Driver, version: 1.8.0 INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - TransactionFactoryFactory - Transaction strategy: org.springframework.orm.hibernate3.SpringTransactionFactory INFO - actionManagerLookupFactory - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) INFO - SettingsFactory - Automatic flush during beforeCompletion(): disabled INFO - SettingsFactory - Automatic session close at end of transaction: disabled INFO - SettingsFactory - JDBC batch size: 1000 INFO - SettingsFactory - JDBC batch updates for versioned data: disabled INFO - SettingsFactory - Scrollable result sets: enabled INFO - SettingsFactory - JDBC3 getGeneratedKeys(): disabled INFO - SettingsFactory - Connection release mode: auto INFO - SettingsFactory - Default batch fetch size: 1 INFO - SettingsFactory - Generate SQL with comments: disabled INFO - SettingsFactory - Order SQL updates by primary key: disabled INFO - SettingsFactory - Order SQL inserts for batching: disabled INFO - SettingsFactory - Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory INFO - ASTQueryTranslatorFactory - Using ASTQueryTranslatorFactory INFO - SettingsFactory - Query language substitutions: {} INFO - SettingsFactory - JPA-QL strict compliance: disabled INFO - SettingsFactory - Second-level cache: enabled INFO - SettingsFactory - Query cache: enabled INFO - SettingsFactory - Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge INFO - FactoryCacheProviderBridge - Cache provider: org.hibernate.cache.HashtableCacheProvider INFO - SettingsFactory - Optimize cache for minimal puts: disabled INFO - SettingsFactory - Structured second-level cache entries: disabled INFO - SettingsFactory - Query cache factory: org.hibernate.cache.StandardQueryCacheFactory INFO - SettingsFactory - Echoing all SQL to stdout INFO - SettingsFactory - Statistics: disabled INFO - SettingsFactory - Deleted entity synthetic identifier rollback: disabled INFO - SettingsFactory - Default entity-mode: pojo INFO - SettingsFactory - Named query checking : enabled INFO - SessionFactoryImpl - building session factory INFO - essionFactoryObjectFactory - Not binding factory to JNDI, no JNDI name configured INFO - UpdateTimestampsCache - starting update timestamps cache at region: org.hibernate.cache.UpdateTimestampsCache INFO - StandardQueryCache - starting query cache at region: org.hibernate.cache.StandardQueryCache INFO - notationSessionFactoryBean - Updating database schema for Hibernate SessionFactory INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [org/springframework/jdbc/support/sql-error-codes.xml] INFO - SQLErrorCodesFactory - SQLErrorCodes loaded: [DB2, Derby, H2, HSQL, Informix, MS-SQL, MySQL, Oracle, PostgreSQL, Sybase] INFO - DefaultListableBeanFactory - Destroying singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@3e0ebb: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy INFO - sPathXmlApplicationContext - Refreshing org.springframework.context.support.ClassPathXmlApplicationContext@a8e586: display name [org.springframework.context.support.ClassPathXmlApplicationContext@a8e586]; startup date [Tue May 04 18:19:58 CEST 2010]; root of context hierarchy INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [com/upbeat/shoutbox/spring/applicationContext.xml] INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [applicationContext-test.xml] INFO - DefaultListableBeanFactory - Overriding bean definition for bean 'dataSource': replacing [Generic bean: class [org.apache.commons.dbcp.BasicDataSource]; scope=singleton; abstract=false; lazyInit=false; autowireMode=0; dependencyCheck=0; autowireCandidate=true; primary=false; factoryBeanName=null; factoryMethodName=null; initMethodName=null; destroyMethodName=close; defined in class path resource [com/upbeat/shoutbox/spring/applicationContext.xml]] with [Generic bean: class [org.unitils.database.UnitilsDataSourceFactoryBean]; scope=singleton; abstract=false; lazyInit=false; autowireMode=0; dependencyCheck=0; autowireCandidate=true; primary=false; factoryBeanName=null; factoryMethodName=null; initMethodName=null; destroyMethodName=null; defined in class path resource [applicationContext-test.xml]] INFO - sPathXmlApplicationContext - Bean factory for application context [org.springframework.context.support.ClassPathXmlApplicationContext@a8e586]: org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1 INFO - pertyPlaceholderConfigurer - Loading properties file from class path resource [application.properties] INFO - DefaultListableBeanFactory - Pre-instantiating singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy INFO - AnnotationBinder - Binding entity from annotated class: com.upbeat.shoutbox.models.ShoutItem INFO - QueryBinder - Binding Named query: item.getById = from ShoutItem item where item.id = :id INFO - QueryBinder - Binding Named query: item.find = from ShoutItem item order by item.timestamp desc INFO - QueryBinder - Binding Named query: item.count = select count(item) from ShoutItem item INFO - EntityBinder - Bind entity com.upbeat.shoutbox.models.ShoutItem on table SHOUT_ITEMS INFO - AnnotationConfiguration - Hibernate Validator not found: ignoring INFO - notationSessionFactoryBean - Building new Hibernate SessionFactory INFO - earchEventListenerRegister - Unable to find org.hibernate.search.event.FullTextIndexEventListener on the classpath. Hibernate Search is not enabled. INFO - ConnectionProviderFactory - Initializing connection provider: org.springframework.orm.hibernate3.LocalDataSourceConnectionProvider INFO - SettingsFactory - RDBMS: HSQL Database Engine, version: 1.8.0 INFO - SettingsFactory - JDBC driver: HSQL Database Engine Driver, version: 1.8.0 INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - TransactionFactoryFactory - Transaction strategy: org.springframework.orm.hibernate3.SpringTransactionFactory INFO - actionManagerLookupFactory - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) INFO - SettingsFactory - Automatic flush during beforeCompletion(): disabled INFO - SettingsFactory - Automatic session close at end of transaction: disabled INFO - SettingsFactory - JDBC batch size: 1000 INFO - SettingsFactory - JDBC batch updates for versioned data: disabled INFO - SettingsFactory - Scrollable result sets: enabled INFO - SettingsFactory - JDBC3 getGeneratedKeys(): disabled INFO - SettingsFactory - Connection release mode: auto INFO - SettingsFactory - Default batch fetch size: 1 INFO - SettingsFactory - Generate SQL with comments: disabled INFO - SettingsFactory - Order SQL updates by primary key: disabled INFO - SettingsFactory - Order SQL inserts for batching: disabled INFO - SettingsFactory - Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory INFO - ASTQueryTranslatorFactory - Using ASTQueryTranslatorFactory INFO - SettingsFactory - Query language substitutions: {} INFO - SettingsFactory - JPA-QL strict compliance: disabled INFO - SettingsFactory - Second-level cache: enabled INFO - SettingsFactory - Query cache: enabled INFO - SettingsFactory - Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge INFO - FactoryCacheProviderBridge - Cache provider: org.hibernate.cache.HashtableCacheProvider INFO - SettingsFactory - Optimize cache for minimal puts: disabled INFO - SettingsFactory - Structured second-level cache entries: disabled INFO - SettingsFactory - Query cache factory: org.hibernate.cache.StandardQueryCacheFactory INFO - SettingsFactory - Echoing all SQL to stdout INFO - SettingsFactory - Statistics: disabled INFO - SettingsFactory - Deleted entity synthetic identifier rollback: disabled INFO - SettingsFactory - Default entity-mode: pojo INFO - SettingsFactory - Named query checking : enabled INFO - SessionFactoryImpl - building session factory INFO - essionFactoryObjectFactory - Not binding factory to JNDI, no JNDI name configured INFO - UpdateTimestampsCache - starting update timestamps cache at region: org.hibernate.cache.UpdateTimestampsCache INFO - StandardQueryCache - starting query cache at region: org.hibernate.cache.StandardQueryCache INFO - notationSessionFactoryBean - Updating database schema for Hibernate SessionFactory INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - DefaultListableBeanFactory - Destroying singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 1.34 sec <<< FAILURE! Running com.upbeat.shoutbox.integrations.ShoutItemIntegrationTest Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0 sec <<< FAILURE! Running com.upbeat.shoutbox.mocks.ShoutServiceTest Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.01 sec <<< FAILURE! Results : Tests in error: initializationError(com.upbeat.shoutbox.web.TestViewShoutsPage) testRenderMyPage(com.upbeat.shoutbox.web.TestHomePage) initializationError(com.upbeat.shoutbox.integrations.ShoutItemIntegrationTest) initializationError(com.upbeat.shoutbox.mocks.ShoutServiceTest) Tests run: 4, Failures: 0, Errors: 4, Skipped: 0 [INFO] ------------------------------------------------------------------------ [ERROR] BUILD FAILURE [INFO] ------------------------------------------------------------------------ [INFO] There are test failures. Please refer to F:\Projects\shoutbox\target\surefire-reports for the individual test results. [INFO] ------------------------------------------------------------------------ [INFO] For more information, run Maven with the -e switch [INFO] ------------------------------------------------------------------------ [INFO] Total time: 3 seconds [INFO] Finished at: Tue May 04 18:19:58 CEST 2010 [INFO] Final Memory: 13M/31M [INFO] ------------------------------------------------------------------------ Any help is greatly appreciated.

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  • Sitecore not resolving rich text editor URLS in page renders

    - by adam
    Hi We're having issues inserting links into rich text in Sitecore 6.1.0. When a link to a sitecore item is inserted, it is outputted as: http://domain/~/link.aspx?_id=8A035DC067A64E2CBBE2662F6DB53BC5&_z=z Rather than the actual resolved url: http://domain/path/to/page.aspx This article confirms that this should be resolved in the render pipeline: in Sitecore 6 it inserts a specially formatted link that contains the Guid of the item you want to link to, then when the item is rendered the special link is replaced with the actual link to the item The pipeline has the method ShortenLinks added in web.config <convertToRuntimeHtml> <processor type="Sitecore.Pipelines.ConvertToRuntimeHtml.PrepareHtml, Sitecore.Kernel"/> <processor type="Sitecore.Pipelines.ConvertToRuntimeHtml.ShortenLinks, Sitecore.Kernel"/> <processor type="Sitecore.Pipelines.ConvertToRuntimeHtml.SetImageSizes, Sitecore.Kernel"/> <processor type="Sitecore.Pipelines.ConvertToRuntimeHtml.ConvertWebControls, Sitecore.Kernel"/> <processor type="Sitecore.Pipelines.ConvertToRuntimeHtml.FixBullets, Sitecore.Kernel"/> <processor type="Sitecore.Pipelines.ConvertToRuntimeHtml.FinalizeHtml, Sitecore.Kernel"/> </convertToRuntimeHtml> So I really can't see why links are still rendering in ID format rather than as full SEO-tastic urls. Anyone got any clues? Thanks, Adam

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  • How to bulk insert a CSV file into SQLite C#

    - by Lirik
    I have seen similar questions (1, 2), but none of them discuss how to insert CSV files into SQLite. About the only thing I could think of doing is to use a CSVDataAdapter and fill the SQLiteDataSet, then use the SQLiteDataSet to update the tables in the database: The only DataAdapter for CSV files I found is not actually available: CSVDataAdapter CSVda = new CSVDataAdapter(@"c:\MyFile.csv"); CSVda.HasHeaderRow = true; DataSet ds = new DataSet(); // <-- Use an SQLiteDataSet instead CSVda.Fill(ds); To write to a CSV file: CSVDataAdapter CSVda = new CSVDataAdapter(@"c:\MyFile.csv"); bool InclHeader = true; CSVda.Update(MyDataSet,"MyTable",InclHeader); I found the above code @ http://devintelligence.com/2005/02/dataadapter-for-csv-files/ The CSVDataAdapter was supposed to come with OpenNetCF's SDF, but it doesn't seem to be available anymore. Does anybody know where I can get a CSVDataAdapter? Perhaps somebody knows the much simpler thing: how to do bulk inserts of CSV files into SQLite... your help would be greatly appreciated!

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  • again about JPA/Hibernate bulk(batch) insert

    - by abovesun
    Here is simple example I've created after reading several topics about jpa bulk inserts, I have 2 persistent objects User, and Site. One user could have many site, so we have one to many relations here. Suppose I want to create user and create/link several sites to user account. Here is how code looks like, considering my willing to use bulk insert for Site objects. User user = new User("John Doe"); user.getSites().add(new Site("google.com", user)); user.getSites().add(new Site("yahoo.com", user)); EntityTransaction tx = entityManager.getTransaction(); tx.begin(); entityManager.persist(user); tx.commit(); But when I run this code (I'm using hibernate as jpa implementation provider) I see following sql output: Hibernate: insert into User (id, name) values (null, ?) Hibernate: call identity() Hibernate: insert into Site (id, url, user_id) values (null, ?, ?) Hibernate: call identity() Hibernate: insert into Site (id, url, user_id) values (null, ?, ?) Hibernate: call identity() So, I means "real" bulk insert not works or I am confused? Here is source code for this example project, this is maven project so you have only download and run mvn install to check output.

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