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  • MS Access 2003 - VBA for altering a table after a "SELECT * INTO tblTemp FROM tblMain" statement

    - by Justin
    Hi. I use functions like the following to make temporary tables out of crosstabs queries. Function SQL_Tester() Dim sql As String If DCount("*", "MSysObjects", "[Name]='tblTemp'") Then DoCmd.DeleteObject acTable, "tblTemp" End If sql = "SELECT * INTO tblTemp from TblMain;" Debug.Print (sql) Set db = CurrentDb db.Execute (sql) End Function I do this so that I can then use more vba to take the temporary table to excel, use some of excel functionality (formulas and such) and then return the values to the original table (tblMain). Simple spot i am getting tripped up is that after the Select INTO statement I need to add a brand new additional column to that temporary table and I do not know how to do this: sql = "Create Table..." is like the only way i know how to do this and of course this doesn't work to well with the above approach because I can't create a table that has already been created after the fact, and I cannot create it before because the SELECT INTO statement approach will return a "table already exists" message. Any help? thanks guys!

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  • How to restore your production database without needing additional storage

    - by David Atkinson
    Production databases can get very large. This in itself is to be expected, but when a copy of the database is needed the database must be restored, requiring additional and costly storage.  For example, if you want to give each developer a full copy of your production server, you'll need n times the storage cost for your n-developer team. The same is true for any test databases that are created during the course of your project lifecycle. If you've read my previous blog posts, you'll be aware that I've been focusing on the database continuous integration theme. In my CI setup I create a "production"-equivalent database directly from its source control representation, and use this to test my upgrade scripts. Despite this being a perfectly valid and practical thing to do as part of a CI setup, it's not the exact equivalent to running the upgrade script on a copy of the actual production database. So why shouldn't I instead simply restore the most recent production backup as part of my CI process? There are two reasons why this would be impractical. 1. My CI environment isn't an exact copy of my production environment. Indeed, this would be the case in a perfect world, and it is strongly recommended as a good practice if you follow Jez Humble and David Farley's "Continuous Delivery" teachings, but in practical terms this might not always be possible, especially where storage is concerned. It may just not be possible to restore a huge production database on the environment you've been allotted. 2. It's not just about the storage requirements, it's also the time it takes to do the restore. The whole point of continuous integration is that you are alerted as early as possible whether the build (yes, the database upgrade script counts!) is broken. If I have to run an hour-long restore each time I commit a change to source control I'm just not going to get the feedback quickly enough to react. So what's the solution? Red Gate has a technology, SQL Virtual Restore, that is able to restore a database without using up additional storage. Although this sounds too good to be true, the explanation is quite simple (although I'm sure the technical implementation details under the hood are quite complex!) Instead of restoring the backup in the conventional sense, SQL Virtual Restore will effectively mount the backup using its HyperBac technology. It creates a data and log file, .vmdf, and .vldf, that becomes the delta between the .bak file and the virtual database. This means that both read and write operations are permitted on a virtual database as from SQL Server's point of view it is no different from a conventional database. Instead of doubling the storage requirements upon a restore, there is no 'duplicate' storage requirements, other than the trivially small virtual log and data files (see illustration below). The benefit is magnified the more databases you mount to the same backup file. This technique could be used to provide a large development team a full development instance of a large production database. It is also incredibly easy to set up. Once SQL Virtual Restore is installed, you simply run a conventional RESTORE command to create the virtual database. This is what I have running as part of a nightly "release test" process triggered by my CI tool. RESTORE DATABASE WidgetProduction_virtual FROM DISK=N'C:\WidgetWF\ProdBackup\WidgetProduction.bak' WITH MOVE N'WidgetProduction' TO N'C:\WidgetWF\ProdBackup\WidgetProduction_WidgetProduction_Virtual.vmdf', MOVE N'WidgetProduction_log' TO N'C:\WidgetWF\ProdBackup\WidgetProduction_log_WidgetProduction_Virtual.vldf', NORECOVERY, STATS=1, REPLACE GO RESTORE DATABASE mydatabase WITH RECOVERY   Note the only change from what you would do normally is the naming of the .vmdf and .vldf files. SQL Virtual Restore intercepts this by monitoring the extension and applies its magic, ensuring the 'virtual' restore happens rather than the conventional storage-heavy restore. My automated release test then applies the upgrade scripts to the virtual production database and runs some validation tests, giving me confidence that were I to run this on production for real, all would go smoothly. For illustration, here is my 8Gb production database: And its corresponding backup file: Here are the .vldf and .vmdf files, which represent the only additional used storage for the new database following the virtual restore.   The beauty of this product is its simplicity. Once it is installed, the interaction with the backup and virtual database is exactly the same as before, as the clever stuff is being done at a lower level. SQL Virtual Restore can be downloaded as a fully functional 14-day trial. Technorati Tags: SQL Server

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  • Performing a clean database creation using msbuild

    - by Robert May
    So I’m taking a break from writing about other Agile stuff for a post. :)  I’m still going to get back to the other subjects, but this is fun too. Something I’ve done quite a bit of is MSBuild and CI work.  I’m experimenting with ways to improve what I’ve done in the past, particularly around database CI. Today, I developed a mechanism for starting from scratch with your database.  By scratch, I mean blowing away the existing database and creating it again from a single command line call.  I’m a firm believer that developers should be able to get to a known clean state at the database level with a single command and that they should be operating off of their own isolated database to improve productivity.  These scripts will help that. Here’s how I did it.  First, we have to disconnect users.  I did so using the help of a script from sql server central.  Note that I’m using sqlcmd variable replacement. -- kills all the users in a particular database -- dlhatheway/3M, 11-Jun-2000 declare @arg_dbname sysname declare @a_spid smallint declare @msg varchar(255) declare @a_dbid int set @arg_dbname = '$(DatabaseName)' select @a_dbid = sdb.dbid from master..sysdatabases sdb where sdb.name = @arg_dbname declare db_users insensitive cursor for select sp.spid from master..sysprocesses sp where sp.dbid = @a_dbid open db_users fetch next from db_users into @a_spid while @@fetch_status = 0 begin select @msg = 'kill '+convert(char(5),@a_spid) print @msg execute (@msg) fetch next from db_users into @a_spid end close db_users deallocate db_users GO Once all users are booted from the database, we can commence with recreating the database.  I generated the script that is used to create a database from SQL Server management studio, so I’m only going to show the bits that weren’t generated that are important.  There are a bunch of Alter Database statements that aren’t shown. First, I had to find the default location of the database files in the install, since they can be in many different locations.  I used Method 1 from a technet blog and then modified it a bit to do what I needed to do.  I ended up using dynamic SQL because for the life of me, I couldn’t get the “Filename” property to not return an error when I used anything besides a string.  I’m dropping the database first, if it exists.  Here’s the code:   IF EXISTS(SELECT 1 FROM [master].[sys].[databases] WHERE [name] = N'$(DatabaseName)') BEGIN drop database $(DatabaseName) END; go IF EXISTS(SELECT 1 FROM [master].[sys].[databases] WHERE [name] = 'zzTempDBForDefaultPath') BEGIN DROP DATABASE zzTempDBForDefaultPath END; -- Create temp database. Because no options are given, the default data and --- log path locations are used CREATE DATABASE zzTempDBForDefaultPath; DECLARE @Default_Data_Path VARCHAR(512), @Default_Log_Path VARCHAR(512); --Get the default data path SELECT @Default_Data_Path = ( SELECT LEFT(physical_name,LEN(physical_name)-CHARINDEX('\',REVERSE(physical_name))+1) FROM sys.master_files mf INNER JOIN sys.[databases] d ON mf.[database_id] = d.[database_id] WHERE d.[name] = 'zzTempDBForDefaultPath' AND type = 0); --Get the default Log path SELECT @Default_Log_Path = ( SELECT LEFT(physical_name,LEN(physical_name)-CHARINDEX('\',REVERSE(physical_name))+1) FROM sys.master_files mf INNER JOIN sys.[databases] d ON mf.[database_id] = d.[database_id] WHERE d.[name] = 'zzTempDBForDefaultPath' AND type = 1); --Clean up. IF EXISTS(SELECT 1 FROM [master].[sys].[databases] WHERE [name] = 'zzTempDBForDefaultPath') BEGIN DROP DATABASE zzTempDBForDefaultPath END; DECLARE @SQL nvarchar(max) SET @SQL= 'CREATE DATABASE $(DatabaseName) ON PRIMARY ( NAME = N''$(DatabaseName)'', FILENAME = N''' + @Default_Data_Path + N'$(DatabaseName)' + '.mdf' + ''', SIZE = 2048KB , FILEGROWTH = 1024KB ) LOG ON ( NAME = N''$(DatabaseName)Log'', FILENAME = N''' + @Default_Log_Path + N'$(DatabaseName)' + '.ldf' + ''', SIZE = 1024KB , FILEGROWTH = 10%) ' exec (@SQL) GO And with that, your database is created.  You can run these scripts on any server and on any database name.  To do that, I created an MSBuild script that looks like this: <Project xmlns="http://schemas.microsoft.com/developer/msbuild/2003" ToolsVersion="4.0"> <PropertyGroup> <DatabaseName>MyDatabase</DatabaseName> <Server>localhost</Server> <SqlCmd>sqlcmd -v DatabaseName=$(DatabaseName) -S $(Server) -i </SqlCmd> <ScriptDirectory>.\Scripts</ScriptDirectory> </PropertyGroup> <Target Name ="Rebuild"> <ItemGroup> <ScriptFiles Include="$(ScriptDirectory)\*.sql"/> </ItemGroup> <Exec Command="$(SqlCmd) &quot;%(ScriptFiles.Identity)&quot;" ContinueOnError="false"/> </Target> </Project> Note that the Scripts directory is underneath the directory where I’m running the msbuild command and is relative to that directory.  Note also that the target is using batching to run each script in the scripts subdirectory, one after the other.  Each script is passed to the sqlcmd command line execution using the .Identity property on the itemgroup that is created.  This target file is saved in the file “Database.target”. To make this work, you’ll need msbuild in your path, and then run the following command: msbuild database.target /target:Rebuild Once you’ve got your virgin database setup, you’d then need to use a tool like dbdeploy.net to determine that it was a virgin database, build a change script based on the change scripts, and then you’d want another sqlcmd call to update the database with the appropriate scripts.  I’m doing that next, so I’ll post a blog update when I’ve got it working. Technorati Tags: MSBuild,Agile,CI,Database

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  • The advantages and disadvantages of using ORM

    - by JHarley1
    Good Morning, I would like to discuss today the advantages and disadvantages of using ORM (such as ADO.NET). Advantages: Speeds-up Development - eliminates the need for repetitive SQL code. Reduces Development Time. Reduces Development Costs. Overcomes vendor specific SQL differences - the ORM knows how to write vendor specific SQL so you don't have to. Disadvantages: Loss in developer productivity whilst they learn to program with ORM. Developers loose understanding of what the code is actually doing - the developer is more in control using SQL. ORM has a tendency to be slow. ORM fail to compete against SQL queries for complex queries. In summary, I believe that the disadvantages of using an ORM (mainly the reduced time taken to perform repetitive tasks) is far outweighed by the disadvantages of ORM e.g. its difficulty to get to grips with. Can people point out were I am going wrong and suggest any further advantages/disadvantages. Many Thanks, J

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  • Sharepoint Foundation 2010 development single machine installation problems

    - by Robert Koritnik
    I'm having problems installing development machine for Sharepoint (Foundation) 2010. This is what I did so far on the same machine: Installed a clean Windows 7 x64 with 4GB of RAM without being part of any domain. Just a simple standalone machine. Enabled IIS related features as described here except IIS6 related ones (two of them) Installed SQL Server 2008 R2 Development Edition (DB Engine and Writer being enabled but not SQL Agent) Installed Visual Studio 2010 Premium Started installing Sharepoint Foundation 2010 with first extracting files, changing config to enable Windows 7 installation and then installed it as Server Farm (then Complete) to avoid installing SQL Express. Created a separate SPF_CONFIG local user with Logon on as a service right. Opened SPF Management Shell and run New-SPConfigurationDatabase so I am able to use a non-domain username (SPF_CONFIG that I created in the previous step) But all I get is this: The outcome after this error is: Database Sharepoint2010Config is created User SPF_CONFIG is added to SQL Server and attached to this newly created database as dbowner and checking SQL server security logins this user has following rights: dbcreator securityadmin public

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  • Extending Database-as-a-Service to Provision Databases with Application Data

    - by Nilesh A
    Oracle Enterprise Manager 12c Database as a Service (DBaaS) empowers Self Service/SSA Users to rapidly spawn databases on demand in cloud. The configuration and structure of provisioned databases depends on respective service template selected by Self Service user while requesting for database. In EM12c, the DBaaS Self Service/SSA Administrator has the option of hosting various service templates in service catalog and based on underlying DBCA templates.Many times provisioned databases require production scale data either for UAT, testing or development purpose and managing DBCA templates with data can be unwieldy. So, we need to populate the database using post deployment script option and without any additional work for the SSA Users. The SSA Administrator can automate this task in few easy steps. For details on how to setup DBaaS Self Service Portal refer to the DBaaS CookbookIn this article, I will list steps required to enable EM 12c DBaaS to provision databases with application data in two distinct ways using: 1) Data pump 2) Transportable tablespaces (TTS). The steps listed below are just examples of how to extend EM 12c DBaaS and you can even have your own method plugged in part of post deployment script option. Using Data Pump to populate databases These are the steps to be followed to implement extending DBaaS using Data Pump methodolgy: Production DBA should run data pump export on the production database and make the dump file available to all the servers participating in the database zone [sample shown in Fig.1] -- Full exportexpdp FULL=y DUMPFILE=data_pump_dir:dpfull1%U.dmp, data_pump_dir:dpfull2%U.dmp PARALLEL=4 LOGFILE=data_pump_dir:dpexpfull.log JOB_NAME=dpexpfull Figure-1:  Full export of database using data pump Create a post deployment SQL script [sample shown in Fig. 2] and this script can either be uploaded into the software library by SSA Administrator or made available on a shared location accessible from servers where databases are likely to be provisioned Normal 0 -- Full importdeclare    h1   NUMBER;begin-- Creating the directory object where source database dump is backed up.    execute immediate 'create directory DEST_LOC as''/scratch/nagrawal/OracleHomes/oradata/INITCHNG/datafile''';-- Running import    h1 := dbms_datapump.open (operation => 'IMPORT', job_mode => 'FULL', job_name => 'DB_IMPORT10');    dbms_datapump.set_parallel(handle => h1, degree => 1);    dbms_datapump.add_file(handle => h1, filename => 'IMP_GRIDDB_FULL.LOG', directory => 'DATA_PUMP_DIR', filetype => 3);    dbms_datapump.add_file(handle => h1, filename => 'EXP_GRIDDB_FULL_%U.DMP', directory => 'DEST_LOC', filetype => 1);    dbms_datapump.start_job(handle => h1);    dbms_datapump.detach(handle => h1);end;/ Figure-2: Importing using data pump pl/sql procedures Using DBCA, create a template for the production database – include all the init.ora parameters, tablespaces, datafiles & their sizes SSA Administrator should customize “Create Database Deployment Procedure” and provide DBCA template created in the previous step. In “Additional Configuration Options” step of Customize “Create Database Deployment Procedure” flow, provide the name of the SQL script in the Custom Script section and lock the input (shown in Fig. 3). Continue saving the deployment procedure. Figure-3: Using Custom script option for calling Import SQL Now, an SSA user can login to Self Service Portal and use the flow to provision a database that will also  populate the data using the post deployment step. Using Transportable tablespaces to populate databases Copy of all user/application tablespaces will enable this method of populating databases. These are the required steps to extend DBaaS using transportable tablespaces: Production DBA needs to create a backup of tablespaces. Datafiles may need conversion [such as from Big Endian to Little Endian or vice versa] based on the platform of production and destination where DBaaS created the test database. Here is sample backup script shows how to find out if any conversion is required, describes the steps required to convert datafiles and backup tablespace. SSA Administrator should copy the database (tablespaces) backup datafiles and export dumps to the backup location accessible from the hosts participating in the database zone(s). Create a post deployment SQL script and this script can either be uploaded into the software library by SSA Administrator or made available on a shared location accessible from servers where databases are likely to be provisioned. Here is sample post deployment SQL script using transportable tablespaces. Using DBCA, create a template for the production database – all the init.ora parameters should be included. NOTE: DO NOT choose to bring tablespace data into this template as they will be created SSA Administrator should customize “Create Database Deployment Procedure” and provide DBCA template created in the previous step. In the “Additional Configuration Options” step of the flow, provide the name of the SQL script in the Custom Script section and lock the input. Continue saving the deployment procedure. Now, an SSA user can login to Self Service Portal and use the flow to provision a database that will also populate the data using the post deployment step. More Information: Database-as-a-Service on Exadata Cloud Podcast on Database as a Service using Oracle Enterprise Manager 12c Oracle Enterprise Manager 12c Installation and Administration guide, Cloud Administration guide DBaaS Cookbook Screenwatch: Private Database Cloud: Set Up the Cloud Self-Service Portal Screenwatch: Private Database Cloud: Use the Cloud Self-Service Portal Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Newsletter

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  • Sharepoint Foundation 2010 development environment installation problems

    - by Robert Koritnik
    I'm having problems installing development machine for Sharepoint (Foundation) 2010. This is what I did so far on the same machine: Installed a clean Windows 7 x64 with 4GB of RAM without being part of any domain. Just a simple standalone machine. Enabled IIS related features as described here except IIS6 related ones (two of them) Installed SQL Server 2008 R2 Development Edition (DB Engine and Writer being enabled but not SQL Agent) Installed Visual Studio 2010 Premium Started installing Sharepoint Foundation 2010 with first extracting files, changing config to enable Windows 7 installation and then installed it as Server Farm (then Complete) to avoid installing SQL Express. Created a separate SPF_CONFIG local user with Logon on as a service right. Opened SPF Management Shell and run New-SPConfigurationDatabase so I am able to use a non-domain username (SPF_CONFIG that I created in the previous step) But all I get is this: The outcome after this error is: Database Sharepoint2010Config is created User SPF_CONFIG is added to SQL Server and attached to this newly created database as dbowner Checking SQL server security logins this user has following rights: dbcreator securityadmin public

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  • Notepad++ Associate custom ext for use by ctags

    - by user185420
    Hi, I use .pkb and pkh extensions for PL/SQL files (rather than .sql). I have already associated .pkb and .pkh extension in the langs.xml (Styler Config) so that Notepad++ recognizes the syntax highlight to use when I open pkb and pkh files (the syntax highlighting would be the same as for sql ext). Now the problem is that I cannot use plugins that parse code using ctags (like SourceCookifier, OpenCtag,GtagSearch) because these plugins do not recognize the pkb and pkh extension. THe only way I could use them is to change my file to sql and when done change to the pkh or pkb ext. Is there any config that could make ctags based plugin work with non-sql ext? I tried changing various config for the plugins but did not succeed in making them work. Thanks.

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  • Sharepoint Foundation 2010 installation problems

    - by Robert Koritnik
    I'm having problems installing development machine for Sharepoint (Foundation) 2010. This is what I did so far on the same machine: Installed a clean Windows 7 x64 with 4GB of RAM without being part of any domain. Just a simple standalone machine. Enabled IIS related features as described here except IIS6 related ones (two of them) Installed SQL Server 2008 R2 Development Edition (DB Engine and Writer being enabled but not SQL Agent) Installed Visual Studio 2010 Premium Started installing Sharepoint Foundation 2010 with first extracting files, changing config to enable Windows 7 installation and then installed it as Server Farm (then Complete) to avoid installing SQL Express. Created a separate SPF_CONFIG local user with Logon on as a service right. Opened SPF Management Shell and run New-SPConfigurationDatabase so I am able to use a non-domain username (SPF_CONFIG that I created in the previous step) But all I get is this: The outcome after this error is: Database Sharepoint2010Config is created User SPF_CONFIG is added to SQL Server and attached to this newly created database as dbowner and checking SQL server security logins this user has following rights: dbcreator securityadmin public

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  • Cloud Computing - just get started already!

    - by BuckWoody
    OK - you've been hearing about "cloud" (I really dislike that term, but whatever) for over two years. You've equated it with just throwing some VM's in some vendor's datacenter - which is certainly part of it, but not the whole story. There's a whole world of - wait for it - *coding* out there that you should be working on. If you're a developer, this is just a set of servers with operating systems and the runtime layer (like.NET, Java, PHP, etc.) that you can deploy code to and have it run. It can expand in a horizontal way, allowing massive - and I really, honestly mean massive, not just marketing talk kind of scale. We see this every day. If you're not a developer, well, now's the time to learn. Explore a little. Try it. We'll help you. There's a free conference you can attend in November, and you can sign up for it now. It's all on-line, and the tools you need to code are free. Put down Facebook and Twitter for a minute - go sign up. Learn. Do. :) See you there. http://www.windowsazureconf.net/

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  • DataSource or ConnectionPoolDataSource for Application Server JDBC resources

    - by Vinnie
    When creating JNDI JDBC connection pools in an application server, I always specified the type as javax.sql.ConnectionPoolDataSource. I never really gave it too much thought as it always seemed natural to prefer pooled connections over non-pooled. However, in looking at some examples (specifically for Tomcat) I noticed that they specify javax.sql.DataSource. Further, it seems there are settings for maxIdle and maxWait giving the impression that these connections are pooled as well. Glassfish also allows these parameters regardless of the type of data source selected. Are javax.sql.DataSource pooled in an application server (or servlet container)? What (if any) advantages are there for choosing javax.sql.ConnectionPoolDataSource over javax.sql.DataSource (or vice versa)?

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  • Migrate a Django project from MySQL to Oracle

    - by pablo
    Hi, I have a Django1.1 project that works with a legacy MySQL db. I'm trying to migrate this project to Oracle (xe and 11g). We have two options for the migration: - Use SQL developer to create a migration sql script. - Use Django fixtures. The schema created with the sql script from sql developer doesn't match the schema created from syncdb. For example, Django expects TIMESTAMP columns while sql developer creates DATE columns. Using syncdb with Django fixtures could be great but when trying to load the MySQL fixtures into Oracle, after using syncdb, I'm getting: IntegrityError: ORA-00001: unique constraint (USER.SYS_C004253) violated How can I find what part create the integrity error? Thanks

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  • World Backup Day

    - by red(at)work
    Here at Red Gate Towers, the SQL Backup development team have been hunkered down in their shed for the last few months, with the toolbox, blowtorch and chamois leather out, upgrading SQL Backup. When we started, autumn leaves were falling. Now we're about to finish, spring flowers are budding. If not quite a gleaming new machine, at the very least a familiar, reliable engine with some shiny new bits on it will trundle magnificently out of the workshop. One of the interesting things I've noticed about working on software development teams is that the team is together for so long 'implementing' stuff - designing, coding, testing, fixing bugs and so on - that you occasionally forget why you're doing what you're doing. Doubt creeps in. It feels like a long time since we launched this project in a fanfare of optimism and enthusiasm, and all that clarity of purpose and mission "yee-haw" has dissipated with the daily pressures of development. Every now and again, we look up from our bunker and notice all those thousands of users out there, with their different configurations and working practices and each with their own set of problems and requirements, and we ask ourselves "does anyone care about what we're doing?" Has the world moved on while we've been busy? Could we have been doing something more useful with the time and talent of all these excellent people we've assembled? In truth, you can research and test and validate all you like, but you never really know if you've done the right thing (or at least, something valuable for some users) until you release. All projects suffer this insecurity. If they don't, maybe you're not worrying enough about what you're building. The two enemies of software development are certainty and complacency. Oh, and of course, rival teams with Nerf guns. The goal of SQL Backup 7 is to make it so easy to schedule regular restores of your backups that you have no excuse not to. Why schedule a restore? Because your data is not as good as your last backup. It's only as good as your last successful restore. If you're not checking your backups by restoring them and running an integrity check on the database, you're only doing half the job. It seems that most DBAs know that this is best practice, but it can be tricky and time-consuming to set up, so it's one of those tasks that can get forgotten in the midst all the other demands on their time. Sometimes, they're just too busy firefighting. But if it was simple to do? That was our inspiration for SQL Backup 7. So it was heartening to read Brent Ozar's blog post the other day about World Backup Day. To be honest, I'd never heard of World Backup Day (Talk Like a Pirate Day, yes, but not this one); however, its emphasis on not just backing up your data but checking the validity of those backups was exactly the same message we had in mind when building SQL Backup 7. It's printed on a piece of A3 above our planning board - "Make backup verification so easy to do that no DBA has an excuse for not doing it" It's the missing piece that completes the puzzle. Simple idea, great concept, useful feature, but, as it turned out, far from straightforward to implement. The problem is the future. As Marty McFly discovered over the course of three movies, the future is uncertain and hard to predict - so when you are scheduling a restore to take place an hour, day, week or month after the backup, there are all kinds of questions that you wouldn't normally have to consider. Where will this backup live? Will it even exist at the time? Will it be split into multiple files? What will the file names be? Will it be encrypted? What files should it be restored to? SQL Backup needs to know what to expect at the time the restore job is actually run. Of course, a DBA will know the answer to all these questions, but to deliver the whole point of version 7, we wanted to make it easy for them to input that information into SQL Backup. We think we've done that. When you create your scheduled backup job, there is now an option to create a "reminder" to follow it up with a scheduled restore to verify the resulting backups. Actually, it's much more than a reminder, as it stores all the relevant data so you can click it and pre-populate the wizard with all the right settings to set up your verification restores. Simple. But, what do you think? We'd love you to try it. Post by Brian Harris

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  • Developing Schema Compare for Oracle (Part 4): Script Configuration

    - by Simon Cooper
    If you've had a chance to play around with the Schema Compare for Oracle beta, you may have come across this screen in the synchronization wizard: This screen is one of the few screens that, along with the project configuration form, doesn't come from SQL Compare. This screen was designed to solve a couple of issues that, although aren't specific to Oracle, are much more of a problem than on SQL Server: Datatype conversions and NOT NULL columns. 1. Datatype conversions SQL Server is generally quite forgiving when it comes to datatype conversions using ALTER TABLE. For example, you can convert from a VARCHAR to INT using ALTER TABLE as long as all the character values are parsable as integers. Oracle, on the other hand, only allows ALTER TABLE conversions that don't change the internal data format. Essentially, every change that requires an actual datatype conversion has to be done using a rebuild with a conversion function. That's OK, as we can simply hard-code the various conversion functions for the valid datatype conversions and insert those into the rebuild SELECT list. However, as there always is with Oracle, there's a catch. Have a look at the NUMTODSINTERVAL function. As well as specifying the value (or column) to convert, you have to specify an interval_unit, which tells oracle how to interpret the input number. We can't hardcode a default for this parameter, as it is entirely dependent on the user's data context! So, in order to convert NUMBER to INTERVAL DAY TO SECOND/INTERVAL YEAR TO MONTH, we need to have feedback from the user as to what to put in this parameter while we're generating the sync script - this requires a new step in the engine action/script generation to insert these values into the script, as well as new UI to allow the user to specify these values in a sensible fashion. In implementing the engine and UI infrastructure to allow this it made much more sense to implement it for any rebuild datatype conversion, not just NUMBER to INTERVALs. For conversions which we can do, we pre-fill the 'value' box with the appropriate function from the documentation. The user can also type in arbitary SQL expressions, which allows the user to specify optional format parameters for the relevant conversion functions, or indeed call their own functions to convert between values that don't have a built-in conversion defined. As the value gets inserted as-is into the rebuild SELECT list, any expression that is valid in that context can be specified as the conversion value. 2. NOT NULL columns Another problem that is solved by the new step in the sync wizard is adding a NOT NULL column to a table. If the table contains data (as most database tables do), you can't just add a NOT NULL column, as Oracle doesn't know what value to put in the new column for existing rows - the DDL statement will fail. There are actually 3 separate scenarios for this problem that have separate solutions within the engine: Adding a NOT NULL column to a table without a rebuild Here, the workaround is to add a column default with an appropriate value to the column you're adding: ALTER TABLE tbl1 ADD newcol NUMBER DEFAULT <value> NOT NULL; Note, however, there is something to bear in mind about this solution; once specified on a column, a default cannot be removed. To 'remove' a default from a column you change it to have a default of NULL, hence there's code in the engine to treat a NULL default the same as no default at all. Adding a NOT NULL column to a table, where a separate change forced a table rebuild Fortunately, in this case, a column default is not required - we can simply insert the default value into the rebuild SELECT clause. Changing an existing NULL to a NOT NULL column To implement this, we run an UPDATE command before the ALTER TABLE to change all the NULLs in the column to the required default value. For all three, we need some way of allowing the user to specify a default value to use instead of NULL; as this is essentially the same problem as datatype conversion (inserting values into the sync script), we can re-use the UI and engine implementation of datatype conversion values. We also provide the option to alter the new column to allow NULLs, or to ignore the problem completely. Note that there is the same (long-running) problem in SQL Compare, but it is much more of an issue in Oracle as you cannot easily roll back executed DDL statements if the script fails at some point during execution. Furthermore, the engine of SQL Compare is far less conducive to inserting user-supplied values into the generated script. As we're writing the Schema Compare engine from scratch, we used what we learnt from the SQL Compare engine and designed it to be far more modular, which makes inserting procedures like this much easier.

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  • Is MS Reporting Services suitable for stand-alone reports?

    - by JMarsch
    Hello all: I work for a ISV. Our product can use both SQL Server and Oracle as its back-end server. It includes a number of reports (currently in Crystal). We are investigating moving to Micrsoft Reporting Services, but I'm beginning to think that it's a bad idea. We want for our reports to look and feel as though they are a part of our application, and we will not require SQL Server (the customer can choose Oracle). Although I see the reporting services supports a stand-alone mode (RDLC), the boundry between what requires SQL server and what doesn't looks extremely ambiguous. (example, the stand-alone report builder appears to require SQL Server, most of the documentation appears to be part of SQL Server's documentation) It looks to me like if I want to keep my application DB-agnostic, I had better steer clear of Reporting Services. Have I missed the boat here?

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  • Rails 3 Join Question for Votes Table

    - by Dex
    I have a table posts and a polymorphic table votes. The votes table looks like this: create_table :votes do |t| t.references :user # user_id t.vote # the vote value t.references :votable # votable_type and votable_id end I want to list all posts that the user has not yet voted on. Right now I'm basically taking all the posts they've already voted on and subtracting that from the entire set of posts. It works but it's not very convenient as I currently have it. def self.where_not_voted_on_by(user) sql = "SELECT P.* FROM posts P LEFT OUTER JOIN (" sql << where_voted_on_by(user).to_sql sql << ") ALREADY_VOTED_FOR ON P.id = ALREADY_VOTED_FOR.id WHERE (user_id is null)" puts sql resultset = connection.select_all(sql) results = [] resultset.each do |r| results << Post.new(r) end results end def self.where_voted_on_by(user) joins(:votes.outer).where("user_id = #{user.id}").select("posts.*, votes.user_id") end

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  • Jet Database (ms access) ExecuteNonQuery - Can I make it faster?

    - by bluebill
    Hi all, I have this generic routine that I wrote that takes a list of sql strings and executes them against the database. Is there any way I can make this work faster? Typically it'll see maybe 200 inserts or deletes or updates at a time. Sometimes there is a mixture of updates, inserts and deletes. Would it be a good idea to separate the queries by type (i.e. group inserts together, then updates and then deletes)? I am running this against an ms access database and using vb.net 2005. Public Function ExecuteNonQuery(ByVal sql As List(Of String), ByVal dbConnection as String) As Integer If sql Is Nothing OrElse sql.Count = 0 Then Return 0 Dim recordCount As Integer = 0 Using connection As New OleDb.OleDbConnection(dbConnection) connection.Open() Dim transaction As OleDb.OleDbTransaction = connection.BeginTransaction() 'Using cmd As New OleDb.OleDbCommand() Using cmd As OleDb.OleDbCommand = connection.CreateCommand cmd.Connection = connection cmd.Transaction = transaction For Each s As String In sql If Not String.IsNullOrEmpty(s) Then cmd.CommandText = s recordCount += cmd.ExecuteNonQuery() End If Next transaction.Commit() End Using End Using Return recordCount End Function

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  • VS 2012 Code Review &ndash; Before Check In OR After Check In?

    - by Tarun Arora
    “Is Code Review Important and Effective?” There is a consensus across the industry that code review is an effective and practical way to collar code inconsistency and possible defects early in the software development life cycle. Among others some of the advantages of code reviews are, Bugs are found faster Forces developers to write readable code (code that can be read without explanation or introduction!) Optimization methods/tricks/productive programs spread faster Programmers as specialists "evolve" faster It's fun “Code review is systematic examination (often known as peer review) of computer source code. It is intended to find and fix mistakes overlooked in the initial development phase, improving both the overall quality of software and the developers' skills. Reviews are done in various forms such as pair programming, informal walkthroughs, and formal inspections.” Wikipedia No where does the definition mention whether its better to review code before the code has been committed to version control or after the commit has been performed. No matter which side you favour, Visual Studio 2012 allows you to request for a code review both before check in and also request for a review after check in. Let’s weigh the pros and cons of the approaches independently. Code Review Before Check In or Code Review After Check In? Approach 1 – Code Review before Check in Developer completes the code and feels the code quality is appropriate for check in to TFS. The developer raises a code review request to have a second pair of eyes validate if the code abides to the recommended best practices, will not result in any defects due to common coding mistakes and whether any optimizations can be made to improve the code quality.                                             Image 1 – code review before check in Pros Everything that gets committed to source control is reviewed. Minimizes the chances of smelly code making its way into the code base. Decreases the cost of fixing bugs, remember, the earlier you find them, the lesser the pain in fixing them. Cons Development Code Freeze – Since the changes aren’t in the source control yet. Further development can only be done off-line. The changes have not been through a CI build, hard to say whether the code abides to all build quality standards. Inconsistent! Cumbersome to track the actual code review process.  Not every change to the code base is worth reviewing, a lot of effort is invested for very little gain. Approach 2 – Code Review after Check in Developer checks in, random code reviews are performed on the checked in code.                                                      Image 2 – Code review after check in Pros The code has already passed the CI build and run through any code analysis plug ins you may have running on the build server. Instruct the developer to ensure ZERO fx cop, style cop and static code analysis before check in. Code is cleaner and smell free even before the code review. No Offline development, developers can continue to develop against the source control. Cons Bad code can easily make its way into the code base. Since the review take place much later in the cycle, the cost of fixing issues can prove to be much higher. Approach 3 – Hybrid Approach The community advocates a more hybrid approach, a blend of tooling and human accountability quotient.                                                               Image 3 – Hybrid Approach 1. Code review high impact check ins. It is not possible to review everything, by setting up code review check in policies you can end up slowing your team. More over, the code that you are reviewing before check in hasn't even been through a green CI build either. 2. Tooling. Let the tooling work for you. By running static analysis, fx cop, style cop and other plug ins on the build agent, you can identify the real issues that in my opinion can't possibly be identified using human reviews. Configure the tooling to report back top 10 issues every day. Mandate the manual code review of individuals who keep making it to this list of shame more often. 3. During Merge. I would prefer eliminating some of the other code issues during merge from Main branch to the release branch. In a scrum project this is still easier because cheery picking the merges is a possibility and the size of code being reviewed is still limited. Let the tooling work for you, if some one breaks the CI build often, put them on a gated check in build course until you see improvement. If some one appears on the top 10 list of shame generated via the build then ensure that all their code is reviewed till you see improvement. At the end of the day, the goal is to ensure that the code being delivered is top quality. By enforcing a code review before any check in, you force the developer to work offline or stay put till the review is complete. What do the experts say? So I asked a few expects what they thought of “Code Review quality gate before Checking in code?" Terje Sandstrom | Microsoft ALM MVP You mean a review quality gate BEFORE checking in code????? That would mean a lot of code staying either local or in shelvesets, and not even been through a CI build, and a green CI build being the main criteria for going further, f.e. to the review state. I would not like code laying around with no checkin’s. Having a requirement that code is checked in small pieces, 4-8 hours work max, and AT LEAST daily checkins, a manual code review comes second down the lane. I would expect review quality gates to happen before merging back to main, or before merging to release.  But that would all be on checked-in code.  Branching is absolutely one way to ease the pain.   Another way we are using is automatic quality builds, running metrics, coverage, static code analysis.  Unfortunately it takes some time, would be great to be on CI’s – but…., so it’s done scheduled every night. Based on this we get, among other stuff,  top 10 lists of suspicious code, which is then subjected to reviews.  If a person seems to be very popular on these top 10 lists, we subject every check in from that person to a review for a period. That normally helps.   None of the clients I have can afford to have every checkin reviewed, so we need to find ways around it. I don’t disagree with the nicety of having all the code reviewed, but I find it hard to find those resources in today’s enterprises. David V. Corbin | Visual Studio ALM Ranger I tend to agree with both sides. I hate having code that is not checked in, but at the same time hate having “bad” code in the repository. I have found that branching is one approach to solving this dilemma. Code is checked into the private/feature branch before the review, but is not merged over to the “official” branch until after the review. I advocate both, depending on circumstance (especially team dynamics)   - The “pre-checkin” is usually for elements that may impact the project as a whole. Think of it as another “gate” along with passing unit tests. - The “post-checkin” may very well not be at the changeset level, but correlates to a review at the “user story” level.   Again, this depends on team dynamics in play…. Robert MacLean | Microsoft ALM MVP I do not think there is no right answer for the industry as a whole. In short the question is why do you do reviews? Your question implies risk mitigation, so in low risk areas you can get away with it after check in while in high risk you need to do it before check in. An example is those new to a team or juniors need it much earlier (maybe that is before checkin, maybe that is soon after) than seniors who have shipped twenty sprints on the team. Abhimanyu Singhal | Visual Studio ALM Ranger Depends on per scenario basis. We recommend post check-in reviews when: 1. We don't want to block other checks and processes on manual code reviews. Manual reviews take time, and some pieces may not require manual reviews at all. 2. We need to trace all changes and track history. 3. We have a code promotion strategy/process in place. For risk mitigation, post checkin code can be promoted to Accepted branches. Or can be rejected. Pre Checkin Reviews are used when 1. There is a high risk factor associated 2. Reviewers are generally (most of times) have immediate availability. 3. Team does not have strict tracking needs. Simply speaking, no single process fits all scenarios. You need to select what works best for your team/project. Thomas Schissler | Visual Studio ALM Ranger This is an interesting discussion, I’m right now discussing details about executing code reviews with my teams. I see and understand the aspects you brought in, but there is another side as well, I’d like to point out. 1.) If you do reviews per check in this is not very practical as a hard rule because this will disturb the flow of the team very often or it will lead to reduce the checkin frequency of the devs which I would not accept. 2.) If you do later reviews, for example if you review PBIs, it is not easy to find out which code you should review. Either you review all changesets associate with the PBI, but then you might review code which has been changed with a later checkin and the dev maybe has already fixed the issue. Or you review the diff of the latest changeset of the PBI with the first but then you might also review changes of other PBIs. Jakob Leander | Sr. Director, Avanade In my experience, manual code review: 1. Does not get done and at the very least does not get redone after changes (regardless of intentions at start of project) 2. When a project actually do it, they often do not do it right away = errors pile up 3. Requires a lot of time discussing/defining the standard and for the team to learn it However code review is very important since e.g. even small memory leaks in a high volume web solution have big consequences In the last years I have advocated following approach for code review - Architects up front do “at least one best practice example” of each type of component and tell the team. Copy from this one. This should include error handling, logging, security etc. - Dev lead on project continuously browse code to validate that the best practices are used. Especially that patterns etc. are not broken. You can do this formally after each sprint/iteration if you want. Once this is validated it is unlikely to “go bad” even during later code changes Agree with customer to rely on static code analysis from Visual Studio as the one and only coding standard. This has HUUGE benefits - You can easily tweak to reach the level you desire together with customer - It is easy to measure for both developers/management - It is 100% consistent across code base - It gets validated all the time so you never end up getting hammered by a customer review in the end - It is easy to tell the developer that you do not want code back unless it has zero errors = minimize communication You need to track this at least during nightly builds and make sure team sees total # issues. Do not allow #issues it to grow uncontrolled. On the project I run I require code analysis to have run on code before checkin (checkin rule). This means -  You have to have clean compile (or CA wont run) so this is extra benefit = very few broken builds - You can change a few of the rules to compile as errors instead of warnings. I often do this for “missing dispose” issues which you REALLY do not want in your app Tip: Place your custom CA rules files as part of solution. That  way it works when you do branching etc. (path to CA file is relative in VS) Some may argue that CA is not as good as manual inspection. But since manual inspection in reality suffers from the 3 issues in start it is IMO a MUCH better (and much cheaper) approach from helicopter perspective Tirthankar Dutta | Director, Avanade I think code review should be run both before and after check ins. There are some code metrics that are meant to be run on the entire codebase … Also, especially on multi-site projects, one should strive to architect in a way that lets men manage the framework while boys write the repetitive code… scales very well with the need to review less by containment and imposing architectural restrictions to emphasise the design. Bruno Capuano | Microsoft ALM MVP For code reviews (means peer reviews) in distributed team I use http://www.vsanywhere.com/default.aspx  David Jobling | Global Sr. Director, Avanade Peer review is the only way to scale and its a great practice for all in the team to learn to perform and accept. In my experience you soon learn who's code to watch more than others and tune the attention. Mikkel Toudal Kristiansen | Manager, Avanade If you have several branches in your code base, you will need to merge often. This requires manual merging, when a file has been changed in both branches. It offers a good opportunity to actually review to changed code. So my advice is: Merging between branches should be done as often as possible, it should be done by a senior developer, and he/she should perform a full code review of the code being merged. As for detecting architectural smells and code smells creeping into the code base, one really good third party tools exist: Ndepend (http://www.ndepend.com/, for static code analysis of the current state of the code base). You could also consider adding StyleCop to the solution. Jesse Houwing | Visual Studio ALM Ranger I gave a presentation on this subject on the TechDays conference in NL last year. See my presentation and slides here (talk in Dutch, but English presentation): http://blog.jessehouwing.nl/2012/03/did-you-miss-my-techdaysnl-talk-on-code.html  I’d like to add a few more points: - Before/After checking is mostly a trust issue. If you have a team that does diligent peer reviews and regularly talk/sit together or peer review, there’s no need to enforce a before-checkin policy. The peer peer-programming and regular feedback during development can take care of most of the review requirements as long as the team isn’t under stress. - Under stress, enforce pre-checkin reviews, it might sound strange, if you’re already under time or budgetary constraints, but it is under such conditions most real issues start to be created or pile up. - Use tools to catch most common errors, Code Analysis/FxCop was already mentioned. HP Fortify, Resharper, Coderush etc can help you there. There are also a lot of 3rd party rules you can add to Code Analysis. I’ve written a few myself (http://fccopcontrib.codeplex.com) and various teams from Microsoft have added their own rules (MSOCAF for SharePoint, WSSF for WCF). For common errors that keep cropping up, see if you can define a rule. It’s much easier. But more importantly make sure you have a good help page explaining *WHY* it's wrong. If you have small feature or developer branches/shelvesets, you might want to review pre-merge. It’s still better to do peer reviews and peer programming, but the most important thing is that bad quality code doesn’t make it into the important branch. So my philosophy: - Use tooling as much as possible. - Make sure the team understands the tooling and the importance of the things it flags. It’s too easy to just click suppress all to ignore the warnings. - Under stress, tighten process, it’s under stress that the problems of late reviews will really surface - Most importantly if you do reviews do them as early as possible, but never later than needed. In other words, pre-checkin/post checking doesn’t really matter, as long as the review is done before the code is released. It’ll just be much more expensive to fix any review outcomes the later you find them. --- I would love to hear what you think!

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  • SSAS processing error: Client unable to establish connection; 08001; Encryption not supported on the client.; 08001

    - by Kevin Shyr
    After getting the cube to successfully deploy and process on Friday, I was baffled on Monday that the newly added dimension caused the cube processing to break.  I then followed the first instinct, discarded all my changes to reverted back to the version on Friday, and had no luck.  The error message (attached below) did not help as I was looking for some kind of SQL service error.  After examining the windows server log and the SQL server log, I just couldn't see anything wrong with it.After swearing for some time, and with the help of going off and working on something else for a while.  I came back to the solution and looked at the data source.  Even though I know I have never changed the provider (the default setup gave me SQL native client), I decided to change it and give OLE DB a try.This simple change allows my cube to process successfully again.  While I don't understand why the same settings that worked last week doesn't work this week, I don't have all the information to say with certainty that nothing has changed in the environment (firewall changes, server updates, etc.).SSAS processing error:<Batch >  <Parallel>    <Process xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ddl2="http://schemas.microsoft.com/analysisservices/2003/engine/2" xmlns:ddl2_2="http://schemas.microsoft.com/analysisservices/2003/engine/2/2" xmlns:ddl100_100="http://schemas.microsoft.com/analysisservices/2008/engine/100/100" xmlns:ddl200="http://schemas.microsoft.com/analysisservices/2010/engine/200" xmlns:ddl200_200="http://schemas.microsoft.com/analysisservices/2010/engine/200/200">      <Object>        <DatabaseID>DWH Sales Facts</DatabaseID>        <CubeID>DWH Sales Facts</CubeID>      </Object>      <Type>ProcessFull</Type>      <WriteBackTableCreation>UseExisting</WriteBackTableCreation>    </Process>  </Parallel></Batch>                Processing Dimension 'Date' completed.                                Errors and Warnings from Response                OLE DB error: OLE DB or ODBC error: A network-related or instance-specific error has occurred while establishing a connection to SQL Server. Server is not found or not accessible. Check if instance name is correct and if SQL Server is configured to allow remote connections. For more information see SQL Server Books Online.; 08001; Client unable to establish connection; 08001; Encryption not supported on the client.; 08001.                Errors in the high-level relational engine. A connection could not be made to the data source with the DataSourceID of 'DWH Sales Facts', Name of 'DWH Sales Facts'.                Errors in the OLAP storage engine: An error occurred while the dimension, with the ID of 'Currency', Name of 'Currency' was being processed.                Errors in the OLAP storage engine: An error occurred while the 'Currency Dim ID' attribute of the 'Currency' dimension from the 'DWH Sales Facts' database was being processed.                Internal error: The operation terminated unsuccessfully.                Server: The operation has been cancelled.

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  • Web Services for Info Explorer Zones

    - by Anthony Shorten
    One of the most interesting uses for XAI and Configurable objects is the exposure of a query portal as a Web Service. Let me illustrate this with an example. Say you have an interface that requires a list of data from a number of product tables. In the past you would have to build a java program to do this with SQL then use an application service but it is now possible with just configuration. The first step in the process is to create the SQL you want to use for the interface. It can be any valid static SQL or use host variables for the WHERE clause (we call that filtered). Once you are happy with the SQL (and it performs acceptably) you can incorporate that SQL into a Info-Explorer Zone. You can use any of the explorer zone types but I typically recommend F1-DE-SINGLE as it supports a single SQL statement with multiple filters (up to 15) as well as hidden filters (up to 5). Hidden filters are typically not displayed in the UI for criteria (remember explorer zones can be used on the user Interface as well) but for web services they can be used as normal filters (this means you can use up to 20 filters all up). Once you are happy with the zone, you now need to define it as a Business Service. We have a generic service called FWLZDEXP which allows a explorer zone to be defined as a Business Service. If you open any Business Service based upon FWLZDEXP you will see some examples. The schema is standard and pretty self explanatory in terms of the structure. The schema pattern looks like this: Zone element - maps to the ZONE_CD element and the default value is the zone name you just created. This links the business service to the zone. Filter elements - You name the filters as you like but the mapField is set to Fx_VALUE where x is the filter number corresponding to the filter element in the zone definition. Hidden filter elements - You name the filters as you like but the mapField is set to Hx_VALUE where x is the filter number corresponding to the hidden filter element in the zone definition. results group - this holds the elements of the result set. Each element in your result set has a tagname and is linked to the COL_VALUE mapField and the row element is lists the SEQNO of the column. This corresponds to the column number in the results set in the zone. An example schema is shown below for the F1-USGRACML zone, which returns the access modes for a user group and application service filters. In the example, the userGroup and applicationService elements are the filters and the rows would contain a list of accessModeDescr. This is just a simple example to illustrate the point. There are lots of examples in the product that you can investigate. One recommendation, to save time, is that you copy the schema from one of the examples to save you typing it from scratch. You can simply modify the tags and other elements to suit your needs. Once the Business Service is defined it can simply be defined as a Web Service by registering an XAI Inbound Service using the Business Service definition as a basis. You now have a Web Service based upon a Info Explorer Zone. This is one of my favorite components as it allows interfaces to be simplified. This will be my last blog entry for this year. I hope you all have a great and safe Christmas and an even greater new year. Next year promises to be an exciting year and I look forward to communicating exciting developments we are working on at the moment as they are released.

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  • Four New Java Champions

    - by Tori Wieldt
    Four luminaries in the Java community have been selected as new Java Champions. The are Agnes Crepet, Lars Vogel, Yara Senger and Martijn Verburg. They were selected for their technical knowledge, leadership, inspiration, and tireless work for the community. Here is how they rock the Java world: Agnes Crepet Agnes Crepet (France) is a passionate technologist with over 11 years of software engineering experience, especially in the Java technologies, as a Developer, Architect, Consultant and Trainer. She has been using Java since 1999, implementing multiple kinds of applications (from 20 days to 10000 men days) for different business fields (banking, retail, and pharmacy). Currently she is a Java EE Architect for a French pharmaceutical company, the homeopathy world leader. She is also the co-founder, with other passionate Java developers, of a software company named Ninja Squad, dedicated to Software Craftsmanship. Agnes is the leader of two Java User Groups (JUG), the Lyon JUG Duchess France and the founder of the Mix-IT Conferenceand theCast-IT Podcast, two projects about Java and Agile Development. She speaks at Java and JUG conferences around the world and regularly writes articles about the Java Ecosystem for the French print Developer magazine Programmez! and for the Duchess Blog. Follow Agnes @agnes_crepet. Lars Vogel Lars Vogel (Germany) is the founder and CEO of the vogella GmbH and works as Java, Eclipse and Android consultant, trainer and book author. He is a regular speaker at international conferences, such as EclipseCon, Devoxx, Droidcon and O'Reilly's Android Open. With more than one million visitors per month, his website vogella.com is one of the central sources for Java, Eclipse and Android programming information. Lars is committer in the Eclipse project and received in 2010 the "Eclipse Top Contributor Award" and 2012 the "Eclipse Top Newcomer Evangelist Award." Follow Lars on Twitter @vogella. Yara Senger Yara Senger (Brazil) has been a tireless Java activist in Brazil for many years. She is President of SouJava and she is an alternate representative of the group on the JCP Executive Committee. Yara has led SouJava in many initiatives, from technical events to social activities. She is co-founder and director of GlobalCode, which trains developers throughout Brazil.  Last year, she was recipient of the Duke Choice's Award, for the JHome embedded environment.  Yara is also an active speaker, giving presentations in many countries, including JavaOne SF, JavaOne Latin Ameria, JavaOne India, JFokus, and JUGs throughout Brazil. Yara is editor of InfoQ Brasil and also frequently posts at http://blog.globalcode.com.br/search/label/Yara. Follow Yara @YaraSenger. Martijn Verburg Martijn Verburg (UK) is the CTO of jClarity (a Java/JVM performance cloud tooling start-up) and has over 12 years experience as a Java/JVM technology professional and OSS mentor in a variety of organisations from start-ups to large enterprises. He is the co-leader of the London Java Community (~2800 developers) and leads the global effort for the Java User Group "Adopt a JSR" and "Adopt OpenJDK" programmes. These programmes encourage day to day Java developer involvement with OpenJDK, Java standards (JSRs), an important relationship for keeping the Java ecosystem relevant to the 9 million Java developers out there today. As a leading expert on technical team optimisation, his talks and presentations are in high demand by major conferences (JavaOne, Devoxx, OSCON, QCon) where you'll often find him challenging the industry status quo via his alter ego "The Diabolical Developer." You can read more in the OTN ariticle "Challenging the Diabolical Developer: A Conversation with JavaOne Rock Star Martijn Verburg." Follow Martijn @karianna. The Java Champions are an exclusive group of passionate Java technology and community leaders who are community-nominated and selected under a project sponsored by Oracle. Java Champions get the opportunity to provide feedback, ideas, and direction that will help Oracle grow the Java Platform. Congratulations to these new Java Champions!

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  • Visual Studio 2010 SP1

    - by ScottGu
    Last week we shipped Service Pack 1 of Visual Studio 2010 and the Visual Studio Express Tools.  In addition to bug fixes and performance improvements, SP1 includes a number of feature enhancements.  This includes improved local help support, IntelliTrace support for 64-bit applications and SharePoint, built-in Silverlight 4 Tooling support in the box, unit testing support when targeting .NET 3.5, a new performance wizard for Silverlight, IIS Express and SQL CE Tooling support for web projects, HTML5 Intellisense for ASP.NET, and more.  TFS 2010 SP1 was also released last week, together with a new TFS Project Server Integration Pack and Load Test Feature Pack.  Brian Harry has a good blog post about the TFS updates here. VS 2010 SP1 Download Click here to download and install SP1 for all versions of Visual Studio (including express).  This installer examines what you have installed on your machine, and only downloads the servicing downloads necessary to update them to SP1.  The time it takes to download and update will consequently depend on what all you have installed.  Jon Galloway has a good blog post on tips to speed up the SP1 install by uninstalling unused components. Web Platform Installer Bundles In addition to the core VS 2010 SP1 installer, we have also put together two Web Platform Installer (WebPI) bundles that automate installing SP1 together with additional web-specific components: VS 2010 SP1 WebPI Bundle Visual Web Developer 2010 SP1 WebPI Bundle The above WebPI bundles automate installing: VS 2010/VWD 2010 SP1 ASP.NET MVC 3 (runtime + tools support) IIS 7.5 Express SQL Server Compact Edition 4.0 (runtime + tools support) Web Deployment 2.0 Only the components that are not already installed on your machine will be downloaded when you use the above WebPI bundles.  This means that you can run the WebPI bundle at any time (even if you have already installed SP1 or ASP.NET MVC 3) and not have to worry about wasting time downloading/installing these components again. Earlier this year I did two posts that discussed how to use IIS Express and SQL CE with ASP.NET projects in SP1.  Read the below posts to learn more about how to use them after you run the above bundles: Visual Studio 2010 SP1 and IIS Express Visual Studio 2010 SP1 and SQL CE for ASP.NET The above feature additions work with any web project type – including both ASP.NET Web Forms and ASP.NET MVC. Additional SP1 Notes Two additional notes about VS 2010 SP1: 1) One change we made between RTM and SP1 is that by default Visual Studio now uses software rendering instead of hardware acceleration when running on Windows XP.  We made this change because we’ve seen reports of (often inconsistent) performance issues caused by older video drivers.  Running in software mode eliminates these and delivers consistent speeds.  You can optionally re-enable hardware acceleration with SP1 using Visual Studio’s Tools->Options menu command – we did not remove support for HW acceleration on XP, we simply changed the default setting for it.  Jason Zander has written more details on the change and how to re-enable HW acceleration inside VS here. 2) We have discovered an issue where installing SP1 can cause TSQL intellisense within SQL Server Management Studio 2008 R2 to stop working (typing still works – but intellisense doesn’t show up).  The SQL team is investigating this now and I’ll post an update on how to fix this once more details are known.  Hope this helps, Scott P.S. I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

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  • Editing sqlcmdvariable nodes in SSDT Publish Profile files using msbuild

    - by jamiet
    Publish profile files are a new feature of SSDT database projects that enable you to package up all environment-specific properties into a single file for use at publish time; I have written about them before at Publish Profile Files in SQL Server Data Tools (SSDT) and if it wasn’t obvious from that blog post, I’m a big fan! As I have used Publish Profile files more and more I have realised that there may be times when you need to edit those Publish profile files during your build process, you may think of such an operation as a kind of pre-processor step. In my case I have a sqlcmd variable called DeployTag, it holds a value representing the current build number that later gets inserted into a table using a Post-Deployment script (that’s a technique that I wrote about in Implementing SQL Server solutions using Visual Studio 2010 Database Projects – a compendium of project experiences – search for “Putting a build number into the DB”). Here are the contents of my Publish Profile file (simplified for demo purposes) : Notice that DeployTag defaults to “UNKNOWN”. On my current project we are using msbuild scripts to control what gets built and what I want to do is take the build number from our build engine and edit the Publish profile files accordingly. Here is the pertinent portion of the the msbuild script I came up with to do that:   <ItemGroup>     <Namespaces Include="myns">       <Prefix>myns</Prefix>       <Uri>http://schemas.microsoft.com/developer/msbuild/2003</Uri>     </Namespaces>   </ItemGroup>   <Target Name="UpdateBuildNumber">     <ItemGroup>       <SSDTPublishFiles Include="$(DESTINATION)\**\$(CONFIGURATION)\**\*.publish.xml" />     </ItemGroup>     <MSBuild.ExtensionPack.Xml.XmlFile Condition="%(SSDTPublishFiles.Identity) != ''"                                        TaskAction="UpdateElement"                                        File="%(SSDTPublishFiles.Identity)"                                        Namespaces="@(Namespaces)"                                         XPath="//myns:SqlCmdVariable[@Include='DeployTag']/myns:Value"                                         InnerText="$(BuildNumber)"/>   </Target> The important bits here are the definition of the namespace http://schemas.microsoft.com/developer/msbuild/2003: and the XPath expression //myns:SqlCmdVariable[@Include='DeployTag']/myns:Value: Some extra info: I use a fantastic tool called XMLPad to discover/test XPath expressions, read more at XMLPad – a new tool in my developer utility belt MSBuild.ExtensionPack.Xml.XmlFile is a msbuild task used to edit XML files and is available from Mike Fourie’s MSBuild Extension Pack I’m using a property called $(BuildNumber) to hold the value to substitute into the file and also $(DESTINATION)\**\$(CONFIGURATION)\**\*.publish.xml to define an ItemGroup all of my Publish Profile files. Populating those properties is basic msbuild stuff and is therefore outside the scope of this blog post however if you want to learn more check out MSBuild properties & How To: Use Wildcards to Build All Files in a Directory. Hope this is useful! @Jamiet

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  • Oracle Big Data Software Downloads

    - by Mike.Hallett(at)Oracle-BI&EPM
    Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Oracle offers a broad integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data Connectors Downloads here, includes: Oracle SQL Connector for Hadoop Distributed File System Release 2.1.0 Oracle Loader for Hadoop Release 2.1.0 Oracle Data Integrator Companion 11g Oracle R Connector for Hadoop v 2.1 Oracle Big Data Documentation The Oracle Big Data solution offers an integrated portfolio of products to help you organize and analyze your diverse data sources alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data, Release 2.2.0 - E41604_01 zip (27.4 MB) Integrated Software and Big Data Connectors User's Guide HTML PDF Oracle Data Integrator (ODI) Application Adapter for Hadoop Apache Hadoop is designed to handle and process data that is typically from data sources that are non-relational and data volumes that are beyond what is handled by relational databases. Typical processing in Hadoop includes data validation and transformations that are programmed as MapReduce jobs. Designing and implementing a MapReduce job usually requires expert programming knowledge. However, when you use Oracle Data Integrator with the Application Adapter for Hadoop, you do not need to write MapReduce jobs. Oracle Data Integrator uses Hive and the Hive Query Language (HiveQL), a SQL-like language for implementing MapReduce jobs. Employing familiar and easy-to-use tools and pre-configured knowledge modules (KMs), the application adapter provides the following capabilities: Loading data into Hadoop from the local file system and HDFS Performing validation and transformation of data within Hadoop Loading processed data from Hadoop to an Oracle database for further processing and generating reports Oracle Database Loader for Hadoop Oracle Loader for Hadoop is an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. It pre-partitions the data if necessary and transforms it into a database-ready format. Oracle Loader for Hadoop is a Java MapReduce application that balances the data across reducers to help maximize performance. Oracle R Connector for Hadoop Oracle R Connector for Hadoop is a collection of R packages that provide: Interfaces to work with Hive tables, the Apache Hadoop compute infrastructure, the local R environment, and Oracle database tables Predictive analytic techniques, written in R or Java as Hadoop MapReduce jobs, that can be applied to data in HDFS files You install and load this package as you would any other R package. Using simple R functions, you can perform tasks such as: Access and transform HDFS data using a Hive-enabled transparency layer Use the R language for writing mappers and reducers Copy data between R memory, the local file system, HDFS, Hive, and Oracle databases Schedule R programs to execute as Hadoop MapReduce jobs and return the results to any of those locations Oracle SQL Connector for Hadoop Distributed File System Using Oracle SQL Connector for HDFS, you can use an Oracle Database to access and analyze data residing in Hadoop in these formats: Data Pump files in HDFS Delimited text files in HDFS Hive tables For other file formats, such as JSON files, you can stage the input in Hive tables before using Oracle SQL Connector for HDFS. Oracle SQL Connector for HDFS uses external tables to provide Oracle Database with read access to Hive tables, and to delimited text files and Data Pump files in HDFS. Related Documentation Cloudera's Distribution Including Apache Hadoop Library HTML Oracle R Enterprise HTML Oracle NoSQL Database HTML Recent Blog Posts Big Data Appliance vs. DIY Price Comparison Big Data: Architecture Overview Big Data: Achieve the Impossible in Real-Time Big Data: Vertical Behavioral Analytics Big Data: In-Memory MapReduce Flume and Hive for Log Analytics Building Workflows in Oozie

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  • A temporary disagreement

    - by Tony Davis
    Last month, Phil Factor caused a furore amongst some MVPs with an article that attempted to offer simple advice to developers regarding the use of table variables, versus local and global temporary tables, in their code. Phil makes clear that the table variables do come with some fairly major limitations.no distribution statistics, no parallel query plans for queries that modify table variables.but goes on to suggest that for reasonably small-scale strategic uses, and with a bit of due care and testing, table variables are a "good thing". Not everyone shares his opinion; in fact, I imagine he was rather aghast to learn that there were those felt his article was akin to pulling the pin out of a grenade and tossing it into the database; table variables should be avoided in almost all cases, according to their advice, in favour of temp tables. In other words, a fairly major feature of SQL Server should be more-or-less 'off limits' to developers. The problem with temp tables is that, because they are scoped either in the procedure or the connection, it is easy to allow them to hang around for too long, eating up precious memory and bulking up the shared tempdb database. Unless they are explicitly dropped, global temporary tables, and local temporary tables created within a connection rather than within a stored procedure, will persist until the connection is closed or, with connection pooling, until the connection is reused. It's also quite common with ASP.NET applications to have connection leaks, as Bill Vaughn explains in his chapter in the "SQL Server Deep Dives" book, meaning that the web page exits without closing the connection object, maybe due to an error condition. This will then hang around in the heap for what might be hours before picked up by the garbage collector. Table variables are much safer in this regard, since they are batch-scoped and so are cleaned up automatically once the batch is complete, which also means that they are intuitive to use for the developer because they conform to scoping rules that are closer to those in procedural code. On the surface then, an ideal way to deal with issues related to tempdb memory hogging. So why did Phil qualify his recommendation to use Table Variables? This is another of those cases where, like scalar UDFs and table-valued multi-statement UDFs, developers can sometimes get into trouble with a relatively benign-looking feature, due to way it's been implemented in SQL Server. Once again the biggest problem is how they are handled internally, by the SQL Server query optimizer, which can make very poor choices for JOIN orders and so on, in the absence of statistics, especially when joining to tables with highly-skewed data. The resulting execution plans can be horrible, as will be the resulting performance. If the JOIN is to a large table, that will hurt. Ideally, Microsoft would simply fix this issue so that developers can't get burned in this way; they've been around since SQL Server 2000, so Microsoft has had a bit of time to get it right. As I commented in regard to UDFs, when developers discover issues like with such standard features, the database becomes an alien planet to them, where death lurks around each corner, and they continue to avoid these "killer" features years after the problems have been eventually resolved. In the meantime, what is the right approach? Is it to say "hammers can kill, don't ever use hammers", or is it to try to explain, as Phil's article and follow-up blog post have tried to do, what the feature was intended for, why care must be applied in its use, and so enable developers to make properly-informed decisions, without requiring them to delve deep into the inner workings of SQL Server? Cheers, Tony.

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