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• My First Post @ geekswithblogs

  - by sathya

  Dear Friends, Here is my first post on geekswithblogs. I am happy that I have got a separate space here to blog. I am an MCTS certified Professional in .Net 2.0 Web applications, working as a Senior Software Engineer. Willing to share my knowledge on all topics whatever I know. I am also an active presenter / speaker in Microsoft Developer User Group HyderabadTechies. And I have presented many online sessions there. I keep myself updated on the latest technologies in Microsoft. You can see my posts here on the following subjects : C# ASP.NET SQL Server SQL Server Integration Services (SSIS) SQL Server Analysis Services (SSAS) SQL Server Reporting Services (SSRS) I have a personal blog too where I share my knowledge. Pls take a note of it. http://cybersathya.blogspot.com You can see me here often posting the updates on technologies and the technical challenges that I faced and the solutions for the same. Stay Tuned !!! Regards Sathya Narayanan Srinivasan

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• Architecting multi-model multi-DB ASP.NET MVC solution

  - by A. Murray

  I have an ASP.NET MVC 4 solution that I'm putting together, leveraging IoC and the repository pattern using Entity Framework 5. I have a new requirement to be able to pull data from a second database (from another internal application) which I don't have control over. There is no API available unfortunately for the second application and the general pattern at my place of work is to go direct to the database. I want to maintain a consistent approach to modeling the domain and use entity framework to pull the data out, so thus far I have used Entity Framework's database first approach to generate a domain model and database context over the top of this. However, I've become a little stuck on how to include the second domain model in the application. I have a generic repository which I've now moved out to a common DataAccess project, but short of creating two distinct wrappers for the generic repository (so each can identify with a specific database context), I'm struggling to see how I can elegantly include multiple models?

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• Windows Azure Recipe: Big Data

  - by Clint Edmonson

  As the name implies, what we’re talking about here is the explosion of electronic data that comes from huge volumes of transactions, devices, and sensors being captured by businesses today. This data often comes in unstructured formats and/or too fast for us to effectively process in real time. Collectively, we call these the 4 big data V’s: Volume, Velocity, Variety, and Variability. These qualities make this type of data best managed by NoSQL systems like Hadoop, rather than by conventional Relational Database Management System (RDBMS). We know that there are patterns hidden inside this data that might provide competitive insight into market trends.  The key is knowing when and how to leverage these “No SQL” tools combined with traditional business such as SQL-based relational databases and warehouses and other business intelligence tools. Drivers Petabyte scale data collection and storage Business intelligence and insight Solution The sketch below shows one of many big data solutions using Hadoop’s unique highly scalable storage and parallel processing capabilities combined with Microsoft Office’s Business Intelligence Components to access the data in the cluster. Ingredients Hadoop – this big data industry heavyweight provides both large scale data storage infrastructure and a highly parallelized map-reduce processing engine to crunch through the data efficiently. Here are the key pieces of the environment: Pig - a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. Mahout - a machine learning library with algorithms for clustering, classification and batch based collaborative filtering that are implemented on top of Apache Hadoop using the map/reduce paradigm. Hive - data warehouse software built on top of Apache Hadoop that facilitates querying and managing large datasets residing in distributed storage. Directly accessible to Microsoft Office and other consumers via add-ins and the Hive ODBC data driver. Pegasus - a Peta-scale graph mining system that runs in parallel, distributed manner on top of Hadoop and that provides algorithms for important graph mining tasks such as Degree, PageRank, Random Walk with Restart (RWR), Radius, and Connected Components. Sqoop - a tool designed for efficiently transferring bulk data between Apache Hadoop and structured data stores such as relational databases. Flume - a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large log data amounts to HDFS. Database – directly accessible to Hadoop via the Sqoop based Microsoft SQL Server Connector for Apache Hadoop, data can be efficiently transferred to traditional relational data stores for replication, reporting, or other needs. Reporting – provides easily consumable reporting when combined with a database being fed from the Hadoop environment. Training These links point to online Windows Azure training labs where you can learn more about the individual ingredients described above. Hadoop Learning Resources (20+ tutorials and labs) Huge collection of resources for learning about all aspects of Apache Hadoop-based development on Windows Azure and the Hadoop and Windows Azure Ecosystems SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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• alternative to environment variables

  - by tonyl7126

  The amount of servers and the complexity of our application is growing and we now have servers in different regions (hosted on AWS). Certain database operations require low latency so we have stuck a database in each region (which is basically a user cache) to keep the network latency low. The way the application server currently knows which user cache/database to make its call to depends on an environemnt variable set in it. This has been working fine, but it seems hacky and not optimal. Is there any way for this to be done automatically? I was considering using a package like fping and pinging each database when the app server reloads (or caching it the first time) and using the corresponding latencies to decide which database has the lowest latency for each app server. Not sure if this is the best idea though.

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• Naming Convention for Dedicated Thread Locking objects

  - by Chris Sinclair

  A relatively minor question, but I haven't been able to find official documentation or even blog opinion/discussions on it. Simply put: when I have a private object whose sole purpose is to serve for private lock, what do I name that object? class MyClass { private object LockingObject = new object(); void DoSomething() { lock(LockingObject) { //do something } } } What should we name LockingObject here? Also consider not just the name of the variable but how it looks in-code when locking. I've seen various examples, but seemingly no solid go-to advice: Plenty of usages of SyncRoot (and variations such as _syncRoot). Code Sample: lock(SyncRoot), lock(_syncRoot) This appears to be influenced by VB's equivalent SyncLock statement, the SyncRoot property that exists on some of the ICollection classes and part of some kind of SyncRoot design pattern (which arguably is a bad idea) Being in a C# context, not sure if I'd want to have a VBish naming. Even worse, in VB naming the variable the same as the keyword. Not sure if this would be a source of confusion or not. thisLock and lockThis from the MSDN articles: C# lock Statement, VB SyncLock Statement Code Sample: lock(thisLock), lock(lockThis) Not sure if these were named minimally purely for the example or not Kind of weird if we're using this within a static class/method. Several usages of PadLock (of varying casing) Code Sample: lock(PadLock), lock(padlock) Not bad, but my only beef is it unsurprisingly invokes the image of a physical "padlock" which I tend to not associate with the abstract threading concept. Naming the lock based on what it's intending to lock Code Sample: lock(messagesLock), lock(DictionaryLock), lock(commandQueueLock) In the VB SyncRoot MSDN page example, it has a simpleMessageList example with a private messagesLock object I don't think it's a good idea to name the lock against the type you're locking around ("DictionaryLock") as that's an implementation detail that may change. I prefer naming around the concept/object you're locking ("messagesLock" or "commandQueueLock") Interestingly, I very rarely see this naming convention for locking objects in code samples online or on StackOverflow. Question: What's your opinion generally about naming private locking objects? Recently, I've started naming them ThreadLock (so kinda like option 3), but I'm finding myself questioning that name. I'm frequently using this locking pattern (in the code sample provided above) throughout my applications so I thought it might make sense to get a more professional opinion/discussion about a solid naming convention for them. Thanks!

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• Script to email files content

  - by Tarun

  I have created a shell script that takes backups everyday and emails its execution as successfull or unsuccessfull. Now I want that it send the contents of log file it creates with the mail as well. I have seen how to send file as attachement but I want to send the contents of the file as email message and not the file. Please Help. Its code is like #Email Settings Message_Success="Database Backup generated successfully" Message_Failure="Problem occured while generating Database Backup please verify" Subject="Database Backup Status Mail" Recipients="[email protected]" #Verify Backup Created if [ -f "$Path_Mysql_Dump" ]; then echo "Database Backup Created" >> $Path_Log_File echo "$Message_Success" | mail -s "$Subject" "$Recipients" else echo "Database Backup not created please verify the process will terminate" >> $Path_Log_File echo "$Message_Failure" | mail -s "$Subject" "$Recipients" exit -1 fi

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• OBJECT_Name parameters and dbid

  - by steveh99999

  If you've been using SQL Server for a long time, you may have been used to using the OBJECT_NAME system function in the past - especially useful when converting table IDs into table names when querying sysobjects and sysindexes..... However, if you're an old-school DBA  - did you know since SQL 2005 service pack 2 it  accepts a  second parameter ? database_id.. For example, this can be used to summarize some useful information from sys.dm_exec_query_stats. When reviewing SQL Server performance - it can be useful to look at the most heavily used stored procedures rather than inefficient less frequently used procedures.  Here's a query to summarize performance data on the most-heavily used stored procedures across all databases on a server  :-SELECT TOP 20 DENSE_RANK() OVER (ORDER BY SUM(execution_count) DESC) AS rank, OBJECT_NAME(qt.objectid, qt.dbid) AS 'proc name', (CASE WHEN qt.dbid = 32767 THEN 'mssqlresource' ELSE DB_NAME(qt.dbid) END ) AS 'Database', OBJECT_SCHEMA_NAME(qt.objectid,qt.dbid) AS 'schema', SUM(execution_count) AS 'TotalExecutions',SUM(total_worker_time) AS 'TotalCPUTimeMS', SUM(total_elapsed_time) AS 'TotalRunTimeMS', SUM(total_logical_reads) AS 'TotalLogicalReads',SUM(total_logical_writes) AS 'TotalLogicalWrites', MIN(creation_time) AS 'earliestPlan', MAX(last_execution_time) AS 'lastExecutionTime' FROM sys.dm_exec_query_stats qs CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt WHERE OBJECT_NAME(qt.objectid, qt.dbid) IS NOT NULL GROUP BY OBJECT_NAME(qt.objectid, qt.dbid),qt.dbid,OBJECT_SCHEMA_NAME(qt.objectid,qt.dbid)      

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• Roadmap for Thinktecture IdentityServer

  - by Your DisplayName here!

  I got asked today if I could publish a roadmap for thinktecture IdentityServer (idrsv in short). Well – I got a lot of feedback after B1 and one of the biggest points here was the data access layer. So I made two changes: I moved to configuration database access code to EF 4.1 code first. That makes it much easier to change the underlying database. So it is now just a matter of changing the connection string to use real SQL Server instead of SQL Compact. Important when you plan to do scale out. I included the ASP.NET Universal Providers in the download. This adds official support for SQL Azure, SQL Server and SQL Compact for the membership, roles and profile features. Unfortunately the Universal Provider use a different schema than the original ASP.NET providers (that sucks btw!) – so I made them optional. If you want to use them go to web.config and uncomment the new provider. Then there are some other small changes: The relying party registration entries now have added fields to add extra data that you want to couple with the RP. One use case could be to give the UI a hint how the login experience should look like per RP. This allows to have a different look and feel for different relying parties. I also included a small helper API that you can use to retrieve the RP record based on the incoming WS-Federation query string. WS-Federation single sign out is now conforming to the spec. I made certificate based endpoint identities for SSL endpoints optional. This caused some problems with configuration and versioning of existing clients. I hope I can release the RC in the next days. If there are no major issues, there will be RTM very soon!

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• Alter SQLServer 2005 Most Recent List

  Demonstrates how to Adjust the SQL2005 MRU using Reflection and the SQL Assemblies

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• Logging connection strings

  If you some of the dynamic features of SSIS such as package configurations or property expressions then sometimes trying to work out were your connections are pointing can be a bit confusing. You will work out in the end but it can be useful to explicitly log this information so that when things go wrong you can just review the logs. You may wish to develop this idea further and encapsulate such logging into a custom task, but for now lets keep it simple and use the Script Task. The Script Task code below will raise an Information event showing the name and connection string for a connection. Imports System Imports Microsoft.SqlServer.Dts.Runtime Public Class ScriptMain Public Sub Main() Dim fireAgain As Boolean ' Get the connection string, we need to know the name of the connection Dim connectionName As String = "My OLE-DB Connection" Dim connectionString As String = Dts.Connections(connectionName).ConnectionString ' Format the message and log it via an information event Dim message As String = String.Format("Connection ""{0}"" has a connection string of ""{1}"".", _ connectionName, connectionString) Dts.Events.FireInformation(0, "Information", message, Nothing, 0, fireAgain) Dts.TaskResult = Dts.Results.Success End Sub End Class Building on that example it is probably more flexible to log all connections in a package as shown in the next example. Imports System Imports Microsoft.SqlServer.Dts.Runtime Public Class ScriptMain Public Sub Main() Dim fireAgain As Boolean ' Loop through all connections in the package For Each connection As ConnectionManager In Dts.Connections ' Get the connection string and log it via an information event Dim message As String = String.Format("Connection ""{0}"" has a connection string of ""{1}"".", _ connection.Name, connection.ConnectionString) Dts.Events.FireInformation(0, "Information", message, Nothing, 0, fireAgain) Next Dts.TaskResult = Dts.Results.Success End Sub End Class By using the Information event it makes it readily available in the designer, for example the Visual Studio Output window (Ctrl+Alt+O) or the package designer Execution Results tab, and also allows you to readily control the logging by choosing which events to log in the normal way. Now before somebody starts commenting that this is a security risk, I would like to highlight good practice for building connection managers. Firstly the Password property, or any other similar sensitive property is always defined as write-only, and secondly the connection string property only uses the public properties to assemble the connection string value when requested. In other words the connection string will never contain the password. I have seen a couple of cases where this is not true, but that was just bad development by third-parties, you won’t find anything like that in the box from Microsoft.   Whilst writing this code it made me wish that there was a custom log entry that you could just turn on that did this for you, but alas connection managers do not even seem to support custom events. It did however remind me of a very useful event that is often overlooked and fits rather well alongside connection string logging, the Execute SQL Task’s custom ExecuteSQLExecutingQuery event. To quote the help reference Custom Messages for Logging - Provides information about the execution phases of the SQL statement. Log entries are written when the task acquires connection to the database, when the task starts to prepare the SQL statement, and after the execution of the SQL statement is completed. The log entry for the prepare phase includes the SQL statement that the task uses. It is the last part that is so useful, how often have you used an expression to derive a SQL statement and you want to log that to make sure the correct SQL is being returned? You need to turn it one, by default no custom log events are captured, but I’ll refer you to a walkthrough on setting up the logging for ExecuteSQLExecutingQuery by Jamie.

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• Indexing data from multiple tables with Oracle Text

  - by Roger Ford

  It's well known that Oracle Text indexes perform best when all the data to be indexed is combined into a single index. The query select * from mytable where contains (title, 'dog') 0 or contains (body, 'cat') 0 will tend to perform much worse than select * from mytable where contains (text, 'dog WITHIN title OR cat WITHIN body') 0 For this reason, Oracle Text provides the MULTI_COLUMN_DATASTORE which will combine data from multiple columns into a single index. Effectively, it constructs a "virtual document" at indexing time, which might look something like: <title>the big dog</title> <body>the ginger cat smiles</body> This virtual document can be indexed using either AUTO_SECTION_GROUP, or by explicitly defining sections for title and body, allowing the query as expressed above. Note that we've used a column called "text" - this might have been a dummy column added to the table simply to allow us to create an index on it - or we could created the index on either of the "real" columns - title or body. It should be noted that MULTI_COLUMN_DATASTORE doesn't automatically handle updates to columns used by it - if you create the index on the column text, but specify that columns title and body are to be indexed, you will need to arrange triggers such that the text column is updated whenever title or body are altered. That works fine for single tables. But what if we actually want to combine data from multiple tables? In that case there are two approaches which work well: Create a real table which contains a summary of the information, and create the index on that using the MULTI_COLUMN_DATASTORE. This is simple, and effective, but it does use a lot of disk space as the information to be indexed has to be duplicated. Create our own "virtual" documents using the USER_DATASTORE. The user datastore allows us to specify a PL/SQL procedure which will be used to fetch the data to be indexed, returned in a CLOB, or occasionally in a BLOB or VARCHAR2. This PL/SQL procedure is called once for each row in the table to be indexed, and is passed the ROWID value of the current row being indexed. The actual contents of the procedure is entirely up to the owner, but it is normal to fetch data from one or more columns from database tables. In both cases, we still need to take care of updates - making sure that we have all the triggers necessary to update the indexed column (and, in case 1, the summary table) whenever any of the data to be indexed gets changed. I've written full examples of both these techniques, as SQL scripts to be run in the SQL*Plus tool. You will need to run them as a user who has CTXAPP role and CREATE DIRECTORY privilege. Part of the data to be indexed is a Microsoft Word file called "1.doc". You should create this file in Word, preferably containing the single line of text: "test document". This file can be saved anywhere, but the SQL scripts need to be changed so that the "create or replace directory" command refers to the right location. In the example, I've used C:\doc. multi_table_indexing_1.sql : creates a summary table containing all the data, and uses multi_column_datastore Download link / View in browser multi_table_indexing_2.sql : creates "virtual" documents using a procedure as a user_datastore Download link / View in browser

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• High Jinks, Hi Jacks, Exceptional DBA Awards and PASS

  - by Rodney

  The countdown to PASS has counted down.  The day after tomorrow I will board a plane, like many others, on my way for the 4th year in a row to SQL PASS Summit.  The anticipation has been excruciating but luckily I have this little thing called a day job as a DBA that has kept me busy and not thinking too much about the event. Well that is not exactly true since my beautiful wife works for PASS so we get to talk about SQL from the time we wake up until late in the evening. I would not have it any other way and I feel very fortunate to be a part of this great event and to have been chosen as the Exceptional DBA Award judge also for the 4th year in a row.  This year, I will have been again tasked with presenting the award to the winner, Mr. Jeff Moden and it will be a true honor to meet him in person as I have read many of his articles on SSC and have attended his session at PASS previously.  The speech is all ready but one item remains, which will be a surprise to all who attend the party on Tuesday night in Seattle (see links below).  Let's face it, Exceptional DBAs everywhere work very hard protecting our data stores, tuning queries, mentoring, saving money, installing clusters, etc and once in a while there is time to be exceptionally non-professional and have a bit of fun. Once incident that happened this year that falls under the High Jinks category was when my network admin asked if I could Telnet into a SQL instance and see if I could make the connection through the firewall that he had just configured. I was able to establish a connection on port 1433 and it occurred to me that it would be very interesting if I could actually run T-SQL queries via a Telnet session much like you might do with an SMTP server. With that thought, I proceeded to demonstrate this could be possible by convincing my senior DBA Shawn McGehee that I was able to do so. At first he did not believe me. It shook his world view.  It was inconceivable.  What I had done, behind the scenes, of course, was to copy and rename SQLCMD.exe to Telnet.exe and used it to connect and run a simple, "Select * from sys.databases" on the SQL instance. I think if it had been anyone other than Shawn I could have extended this ruse indefinitely but he caught on within 30 seconds. It was a fun thirty seconds though. On the High Jacks side of the house, which is really merged to be SQL HACKS, I finally, after several years of struggling with how to connect to an untrusted domain like in a DMZ with a windows account in SSMS, I stumbled upon a solution that does away with the requirement to use SQL Authentication.  While "Runas" is a great command to use to run an application with a higher privileged account, I had not previously been able to figure out how to connect to the remote domain with SSMS and "Runsas". It never connected and caused a login failure every time for the remote windows domain account. Then I ran across an option for "Runas",   "/netonly".  This option postpones the login until a connection is made and only then passes the remote login you supply when you first launch SSMS with the "Runas" command. So a typical shortcut would look like: "C:\Windows\System32\runas.exe /netonly /user:remotedomain.com\rodlandrum "C:\Program Files\Microsoft SQL Server\100\Tools\Binn\VSShell\Common7\IDE\Ssms.exe" You will want to make sure the passwords are synced between the two domains, your local domain and the remote domain, otherwise you may have account lockout issues, but I have found in weeks of testing this is a stable solution. Now it is time to get ready to head for Seattle. Please, if you see me (@SQLBeat) or my wife (@Karlakay22) please run up and high five me (wait..High Jinks.High Jacks.High Fives.Need to change the title) or give me a big bear hug if you are strong enough to lift me off the ground. And if you do actually do that, I will think you are awesome and will not embarrass you by crying out for help or complaining of a broken back or sciatic nerve damage. And now the links to others who have all of the details. First, for the MVP Deep Dives 2, of which, like John, I was lucky enough to be able to participate in this year. http://www.simple-talk.com/community/blogs/johnm/archive/2011/09/29/103577.aspx And the details of the SSC party where the Exceptional DBA of 2011, Jeff Moden, will be awarded. http://www.simple-talk.com/community/blogs/rebecca_amos/archive/2011/10/05/103661.aspx   Cheers! Rodney

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• Attunity Oracle CDC Solution for SSIS - Beta

  We in no way work for Attunity but we were asked to test drive a beta version of their Oracle CDC solution for SSIS.  Everybody should know that moving more data than you need to takes too much time and uses resources that may better be employed doing something else.  Change data Capture is a technology that is designed to help you identify only the data that has had something done to it and you can therefore move only what is needed.  Microsoft have implemented this exact functionality into SQL server 2008 and I really like it there.  Attunity though are doing it on Oracle. DISCLAIMER: This is a BETA release and some of the parts are a bit ugly/difficult to work with.  The idea though is definitely right and the product once working does exactly what it says on the tin.  They have always been helpful to me when I have had a problem with the product and if that continues then beta testing pain should be eased somewhat. In due course I am going to be doing some videos around me using the product.  If you use Oracle and SSIS then give it a go. Here is their product description.   Attunity is a Microsoft SQL Server technology partner and the creator of the Microsoft Connectors for Oracle and Teradata, currently available in SQL Server 2008 Enterprise Edition. Attunity released a beta version of the Attunity Oracle-CDC for SSIS, a product that integrates continually changing Oracle data into SSIS, efficiently and in real-time. Attunity designed the product and integrated it into SSIS to create the simple creation of change data capture (CDC) solutions, accelerate implementation time, and reduce resources and costs. They also utilize log-based CDC so the solution has minimal impact on the Oracle source system. You can use the product to implement enterprise-class data replication, synchronization, and real-time business intelligence (BI) and data warehousing projects, quickly and efficiently, leveraging their existing SQL Server investments and resource skills. Attunity architected the product specifically for the Microsoft SSIS developer community and the product is available for both SQL Server 2005 and SQL Server 2008. It offers the following key capabilities: · Log-based, non-intrusive Oracle CDC · Full integration into SSIS and the Business Intelligence Developer Studio · Automatic generation of SSIS packages for CDC as well as full-loads of Oracle data · Filtering of Oracle tables and columns at the source · Monitoring and control of CDC processing Click to learn more and download the beta.

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• Instead of alter table column to turn IDENTITY on and off, turn IDENTITY_INSERT on and off

  - by Kevin Shyr

  First of all, I don't know which version of SQL this post (http://www.techonthenet.com/sql/tables/alter_table.php) is based on, but at least for Microsoft SQL Server 2008, the syntax is not: ALTER TABLE [table_name] MODIFY [column_name] [data_type] NOT NULL; Instead, it should be: ALTER TABLE [table_name] ALTER COLUMN [column_name] [data_type] NOT NULL;   Then, as several posts point out, you can't use T-SQL to run an existing column into an IDENTITY column.  Instead, use the IDENTITY_INSERT to copy data from other tables.  http://msdn.microsoft.com/en-us/library/ms188059.aspx SET IDENTITY_INSERT [table_name] ON INSERT .... SET IDENTITY_INSERT [table_name] OFF     http://www.sqlservercentral.com/Forums/Topic126147-8-1.aspx http://www.sqlteam.com/forums/topic.asp?TOPIC_ID=65257

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• Is DQS-in-the-cloud on its way?

  - by jamiet

  LinkedIn profiles are always a useful place to find out what's really going on in Microsoft. Today I stumbled upon this little nugget from former SSIS product team member Matt Carroll: March 2012 – December 2012 (10 months)Redmond, WA Took ownership of the SQL 2012 Data Quality Services box product and re-architected and extended it to become a cloud service. Led team and managed product to add dynamic scale, security, multi-tenancy, deployment, logging, monitoring, and telemetry as well as creating new Excel add-in and new ecosystem experience around easily sharing and finding cleansing agents. Personally designed, coded, and unit tested in-memory trigram matching algorithm core to better performance, scale and maintainability. Delivered and supported successful private preview of the new service prior to SQL wide reorganization.  http://www.linkedin.com/profile/view?id=9657184  Sounds as though a Data-Quality-Services-in-the-cloud (which I spoke of as being a useful addition to Microsoft's BI portfolio in my previous blog post Thoughts on Power BI for Office 365 ) might be on its way some time in the future. And what's this SQL wide reorganization? Interesting stuff. @Jamiet  

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• WebLogic JDBC Use of Oracle Wallet for SSL

  - by Steve Felts

  Introduction Secure Sockets Layer (SSL) can be used to secure the connection between the middle tier “client”, WebLogic Server (WLS) in this case, and the Oracle database server.  Data between WLS and database can be encrypted.  The server can be authenticated so you have proof that the database can be trusted by validating a certificate from the server.  The client can be authenticated so that the database only accepts connections from clients that it trusts. Similar to the discussion in an earlier article about using the Oracle wallet for database credentials, the Oracle wallet can also be used with SSL to store the keys and certificates.  By using it correctly, clear text passwords can be eliminated from the JDBC configuration and client/server configuration can be simplified by sharing the wallet across multiple datasources. There is a very good Oracle Technical White Paper on using SSL with the Oracle thin driver at http://www.oracle.com/technetwork/database/enterprise-edition/wp-oracle-jdbc-thin-ssl-130128.pdf [LINK1].  The link http://www.oracle.com/technetwork/middleware/weblogic/index-087556.html [LINK2] describes how to use WebLogic Server with Oracle JDBC Driver SSL. The information in this article is a guide on what steps need to be taken in the variety of available options; use the links above for details. SSL from the driver to the database server is basically turned on by specifying a protocol of “tcps” in the URL.  However, there is a fair amount of setup needed.  Also remember that there is an overhead in performance. Creating the wallets The common use cases are 1. “data encryption and server-only authentication”, requiring just a trust store, or 2. “data encryption and authentication of both tiers” (client and server), requiring a trust store and a key store. It is recommended to use the auto-login wallet type so that clear text passwords are not needed in the datasource configuration to open the wallet.  The store type for an auto-login wallet is “SSO” (Single Sign On), not “JKS” or “PKCS12” as in [LINK2].  The file name is “cwallet.sso”. Wallets are created using the orapki tool.  They need to be created based on the usage (encryption and/or authentication).  This is discussed in detail in [LINK1] in Appendix B or in the Advanced Security Administrator’s Guide of the Database documentation. Database Server Configuration It is necessary to update the sqlnet.ora and listener.ora files with the directory location of the wallet using WALLET_LOCATION.  These files also indicate whether or not SSL_CLIENT_AUTHENTICATION is being used (true or false). The Oracle Listener must also be configured to use the TCPS protocol.  The recommended port is 2484. LISTENER = (ADDRESS_LIST= (ADDRESS=(PROTOCOL=tcps)(HOST=servername)(PORT=2484))) WebLogic Server Classpath The WebLogic Server CLASSPATH must have three additional security files. The files that need to be added to the WLS CLASSPATH are $MW_HOME/modules/com.oracle.osdt_cert_1.0.0.0.jar $MW_HOME/modules/com.oracle.osdt_core_1.0.0.0.jar $MW_HOME/modules/com.oracle.oraclepki_1.0.0.0.jar One way to do this is to add them to PRE_CLASSPATH environment variable for use with the standard WebLogic scripts. Setting the Oracle Security Provider It’s necessary to enable the Oracle PKI provider on the client side.  This can either be done statically by updating the java.security file under the JRE or dynamically by setting it in a WLS startup class using java.security.Security.insertProviderAt(new oracle.security.pki.OraclePKIProvider (), 3); See the full example of the startup class in [LINK2]. Datasource Configuration When creating a WLS datasource, set the PROTOCOL in the URL to tcps as in the following. jdbc:oracle:thin:@(DESCRIPTION=(ADDRESS=(PROTOCOL=tcps)(HOST=host)(PORT=port))(CONNECT_DATA=(SERVICE_NAME=myservice))) For encryption and server authentication, use the datasource connection properties: - javax.net.ssl.trustStore=location of wallet file on the client - javax.net.ssl.trustStoreType=”SSO” For client authentication, use the datasource connection properties: - javax.net.ssl.keyStore=location of wallet file on the client - javax.net.ssl.keyStoreType=”SSO” Note that the driver connection properties for the wallet require a file name, not a directory name. Active GridLink ONS over SSL For completeness, there is another SSL usage for WLS datasources.  The communication with the Oracle Notification Service (ONS) for load balancing information and node up/down events can use SSL also. Create an auto-login wallet and use the wallet on the client and server.  The following is a sample sequence to create a test wallet for use with ONS. orapki wallet create -wallet ons -auto_login -pwd ONS_Wallet orapki wallet add -wallet ons -dn "CN=ons_test,C=US" -keysize 1024 -self_signed -validity 9999 -pwd ONS_Wallet orapki wallet export -wallet ons -dn "CN=ons_test,C=US" -cert ons/cert.txt -pwd ONS_Wallet On the database server side, it’s necessary to define the walletfile directory in the file $CRS_HOME/opmn/conf/ons.config and run onsctl stop/start. When configuring an Active GridLink datasource, the connection to the ONS must be defined.  In addition to the host and port, the wallet file directory must be specified.  By not giving a password, a SSO wallet is assumed. Summary To use SSL with the Oracle thin driver without any clear text passwords, use an SSO Oracle Wallet.  SSL support in the Oracle thin driver is available starting in 10g Release 2.

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• RoundhousE now supports Oracle, SQL2000

  - by Robz / Fervent Coder

  RoundhousE, the database migration software that is based on sql scripts has added support for Oracle and SQL 2000.  There have also been numerous other little things, including better logging and a script run errors table. The script errors table captures what went wrong when/if your scripts are not quite up to par or there is some other issue. A special thanks goes out to http://twitter.com/PascalMestdach and http://twitter.com/jochenjonc. They worked hard on this and all I did was provide guidance and help bring it back to the trunk. This is what an entry in the database looks like: This is a preview of new log: ================================================== Versioning ================================================== Attempting to resolve version from C:\code\roundhouse\code_drop\sample\deployment\_BuildInfo.xml using //buildInfo/version. Found version 0.5.0.188 from C:\code\roundhouse\code_drop\sample\deployment\_BuildInfo.xml. Migrating TestRoundhousE from version 0 to 0.5.0.188. Versioning TestRoundhousE database with version 0.5.0.188 based on http://roundhouse.googlecode.com/svn. ================================================== Migration Scripts ================================================== Looking for Update scripts in "C:\code\roundhouse\code_drop\sample\deployment\..\db\TestRoundhousE\up". These should be one time only scripts. -------------------------------------------------- Running 0001_CreateTables.sql on (local) - TestRoundhousE. Running 0002_ChangeTable.sql on (local) - TestRoundhousE. Running 0003_TestBatchSplitter.sql on (local) - TestRoundhousE. -------------------------------------------------- But what are you waiting for? Head out and grab the latest release today!

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• What are some of the benefits of a "Micro-ORM"?

  - by Wayne M

  I've been looking into the so-called "Micro ORMs" like Dapper and (to a lesser extent as it relies on .NET 4.0) Massive as these might be easier to implement at work than a full-blown ORM since our current system is highly reliant on stored procedures and would require significant refactoring to work with an ORM like NHibernate or EF. What is the benefit of using one of these over a full-featured ORM? It seems like just a thin layer around a database connection that still forces you to write raw SQL - perhaps I'm wrong but I was always told the reason for ORMs in the first place is so you didn't have to write SQL, it could be automatically generated; especially for multi-table joins and mapping relationships between tables which are a pain to do in pure SQL but trivial with an ORM. For instance, looking at an example of Dapper: var connection = new SqlConnection(); // setup here... var person = connection.Query<Person>("select * from people where PersonId = @personId", new { PersonId = 42 }); How is that any different than using a handrolled ADO.NET data layer, except that you don't have to write the command, set the parameters and I suppose map the entity back using a Builder. It looks like you could even use a stored procedure call as the SQL string. Are there other tangible benefits that I'm missing here where a Micro ORM makes sense to use? I'm not really seeing how it's saving anything over the "old" way of using ADO.NET except maybe a few lines of code - you still have to write to figure out what SQL you need to execute (which can get hairy) and you still have to map relationships between tables (the part that IMHO ORMs help the most with).

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• Virtual NIC on VM couldn't ping externally after Vmotion

  - by ToreTrygg

  Today I vmotioned 5 MS SQL 2005 servers over to a new DRS Cluster. All SQL servers use the "Production_LAN" network and a single virtual NIC of type "VMXNET 3". The first 4 SQL VM (Windows 2003 Standard or Enterprise x32 bit) vmotioned over without a hitch. The last SQL VM I vmotioned (Windows 2003 Standard x64 bit R2) vmotioned over without error, but I upon completion, I could no longer ping the VM. I went into the VM and could not even ping the gateway, however I could ping the loopback. This SQL server is extremely busy in comparison with the previous 4 VM's. I restarted the server and it came back up with the virtual nic working just fine. The build of both servers (vmotioner and vmotionee) is ESX 4.0.0 175625 - So, pre-update 1. Should I suspect the network switch/VM for possibly not updating the mac table on the switch? Anybody else ever have this issue or know what may have caused it? Thank you!

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• Microsoft and innovation: IIF() method

  This Saturday I was watching a couple of eLearning videos from TrainSignal (thanks to the subscription I have with Pluralsight) on Querying Microsoft SQL Server 2012 (exam 70-461). 'Innovation' by Microsoft I kept myself busy learning 'new' things about Microsoft SQL Server 2012 and some best practices. It was incredible 'innovative' to see that there is an additional logic function called IIF() available now: Returns one of two values depending on the value of a logical expression. IIF(lExpression, eExpression1, eExpression2) Ups, my bad... That's actually taken from the syntax page of Visual FoxPro 9.0 SP 2. And tada, at least seven (7+) years later, there's the recent IIF() Transact-SQL version of that function: Returns one of two values, depending on whether the Boolean expression evaluates to true or false in SQL Server 2012. IIF ( boolean_expression, true_value, false_value ) Now, that's what I call innovation! But we all know what happened to Visual FoxPro... It has been reincarnated in form of Visual Studio LightSwitch (and SQL Server). Enough ranting... Happy coding!

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• Math with Timestamp

  - by Knut Vatsendvik

  table.sql { border-width: 1px; border-spacing: 2px; border-style: dashed; border-color: #0023ff; border-collapse: separate; background-color: white; } table.sql th { border-width: 1px; padding: 1px; border-style: none; border-color: gray; background-color: white; -moz-border-radius: 0px 0px 0px 0px; } table.sql td { border-width: 1px; padding: 3px; border-style: none; border-color: gray; background-color: white; -moz-border-radius: 0px 0px 0px 0px; } .sql-keyword { color: #0000cd; background-color: inherit; } .sql-result { color: #458b74; background-color: inherit; } Got this little SQL quiz from a colleague.  How to add or subtract exactly 1 second from a Timestamp?  Sounded simple enough at first blink, but was a bit trickier than expected. If the data type had been a Date, we knew that we could add or subtract days, minutes or seconds using + or – sysdate + 1 to add one day sysdate - (1 / 24) to subtract one hour sysdate + (1 / 86400) to add one second Would the same arithmetic work with Timestamp as with Date? Let’s test it out with the following query SELECT   systimestamp , systimestamp + (1 / 86400) FROM dual; ---------- 03.05.2010 22.11.50,240887 +02:00 03.05.2010 The first result line shows us the system time down to fractions of seconds. The second result line shows the result as Date (as used for date calculation) meaning now that the granularity is reduced down to a second.   By using the PL/SQL dump() function, we can confirm this with the following query SELECT   dump(systimestamp) , dump(systimestamp + (1 / 86400)) FROM dual; ---------- Typ=188 Len=20: 218,7,5,4,8,53,9,0,200,46,89,20,2,0,5,0,0,0,0,0 Typ=13 Len=8: 218,7,5,4,10,53,10,0 Where typ=13 is a runtime representation for Date. So how can we increase the precision to include fractions of second? After investigating it a bit, we found out that the interval data type INTERVAL DAY TO SECOND could be used with the result of addition or subtraction being a Timestamp. Let’s try again our first query again, now using the interval data type. SELECT systimestamp,    systimestamp + INTERVAL '0 00:00:01.0' DAY TO SECOND(1) FROM dual; ---------- 03.05.2010 22.58.32,723659000 +02:00 03.05.2010 22.58.33,723659000 +02:00 Yes, it worked! To finish the story, here is one example showing how to specify an interval of 2 days, 6 hours, 30 minutes, 4 seconds and 111 thousands of a second. INTERVAL ‘2 6:30:4.111’ DAY TO SECOND(3)

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• PASS Business Intelligence Virtual Chapter Upcoming Sessions (November 2013)

  - by Sergio Govoni

  Let me point out the upcoming live events, dedicated to Business Intelligence with SQL Server, that PASS Business Intelligence Virtual Chapter has scheduled for November 2013. The "Accidental Business Intelligence Project Manager"Date: Thursday 7th November - 8:00 PM GMT / 3:00 PM EST / Noon PSTSpeaker: Jen StirrupURL: https://attendee.gotowebinar.com/register/5018337449405969666 You've watched the Apprentice with Donald Trump and Lord Alan Sugar. You know that the Project Manager is usually the one gets firedYou've heard that Business Intelligence projects are prone to failureYou know that a quick Bing search for "why do Business Intelligence projects fail?" produces a search result of 25 million hits!Despite all this… you're now Business Intelligence Project Manager – now what do you do?In this session, Jen will provide a "sparks from the anvil" series of steps and working practices in Business Intelligence Project Management. What about waterfall vs agile? What is a Gantt chart anyway? Is Microsoft Project your friend or a problematic aspect of being a BI PM? Jen will give you some ideas and insights that will help you set your BI project right: assess priorities, avoid conflict, empower the BI team and generally deliver the Business Intelligence project successfully! Dimensional Modelling Design Patterns: Beyond BasicsDate: Tuesday 12th November - Noon AEDT / 1:00 AM GMT / Monday 11th November 5:00 PM PSTSpeaker: Jason Horner, Josh Fennessy and friendsURL: https://attendee.gotowebinar.com/register/852881628115426561 This session will provide a deeper dive into the art of dimensional modeling. We will look at the different types of fact tables and dimension tables, how and when to use them. We will also some approaches to creating rich hierarchies that make reporting a snap. This session promises to be very interactive and engaging, bring your toughest Dimensional Modeling quandaries. Data Vault Data Warehouse ArchitectureDate: Tuesday 19th November - 4:00 PM PST / 7 PM EST / Wednesday 20th November 11:00 PM AEDTSpeaker: Jeff Renz and Leslie WeedURL: https://attendee.gotowebinar.com/register/1571569707028142849 Data vault is a compelling architecture for an enterprise data warehouse using SQL Server 2012. A well designed data vault data warehouse facilitates fast, efficient and maintainable data integration across business systems. In this session Leslie and I will review the basics about enterprise data warehouse design, introduce you to the data vault architecture and discuss how you can leverage new features of SQL Server 2012 help make your data warehouse solution provide maximum value to your users. 

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• Function Folding in #PowerQuery

  - by Darren Gosbell

  Originally posted on: http://geekswithblogs.net/darrengosbell/archive/2014/05/16/function-folding-in-powerquery.aspxLooking at a typical Power Query query you will noticed that it's made up of a number of small steps. As an example take a look at the query I did in my previous post about joining a fact table to a slowly changing dimension. It was roughly built up of the following steps: Get all records from the fact table Get all records from the dimension table do an outer join between these two tables on the business key (resulting in an increase in the row count as there are multiple records in the dimension table for each business key) Filter out the excess rows introduced in step 3 remove extra columns that are not required in the final result set. If Power Query was to execute a query like this literally, following the same steps in the same order it would not be overly efficient. Particularly if your two source tables were quite large. However Power Query has a feature called function folding where it can take a number of these small steps and push them down to the data source. The degree of function folding that can be performed depends on the data source, As you might expect, relational data sources like SQL Server, Oracle and Teradata support folding, but so do some of the other sources like OData, Exchange and Active Directory. To explore how this works I took the data from my previous post and loaded it into a SQL database. Then I converted my Power Query expression to source it's data from that database. Below is the resulting Power Query which I edited by hand so that the whole thing can be shown in a single expression: let     SqlSource = Sql.Database("localhost", "PowerQueryTest"),     BU = SqlSource{[Schema="dbo",Item="BU"]}[Data],     Fact = SqlSource{[Schema="dbo",Item="fact"]}[Data],     Source = Table.NestedJoin(Fact,{"BU_Code"},BU,{"BU_Code"},"NewColumn"),     LeftJoin = Table.ExpandTableColumn(Source, "NewColumn"                                   , {"BU_Key", "StartDate", "EndDate"}                                   , {"BU_Key", "StartDate", "EndDate"}),     BetweenFilter = Table.SelectRows(LeftJoin, each (([Date] >= [StartDate]) and ([Date] <= [EndDate])) ),     RemovedColumns = Table.RemoveColumns(BetweenFilter,{"StartDate", "EndDate"}) in     RemovedColumns If the above query was run step by step in a literal fashion you would expect it to run two queries against the SQL database doing "SELECT * …" from both tables. However a profiler trace shows just the following single SQL query: select [_].[BU_Code],     [_].[Date],     [_].[Amount],     [_].[BU_Key] from (     select [$Outer].[BU_Code],         [$Outer].[Date],         [$Outer].[Amount],         [$Inner].[BU_Key],         [$Inner].[StartDate],         [$Inner].[EndDate]     from [dbo].[fact] as [$Outer]     left outer join     (         select [_].[BU_Key] as [BU_Key],             [_].[BU_Code] as [BU_Code2],             [_].[BU_Name] as [BU_Name],             [_].[StartDate] as [StartDate],             [_].[EndDate] as [EndDate]         from [dbo].[BU] as [_]     ) as [$Inner] on ([$Outer].[BU_Code] = [$Inner].[BU_Code2] or [$Outer].[BU_Code] is null and [$Inner].[BU_Code2] is null) ) as [_] where [_].[Date] >= [_].[StartDate] and [_].[Date] <= [_].[EndDate] The resulting query is a little strange, you can probably tell that it was generated programmatically. But if you look closely you'll notice that every single part of the Power Query formula has been pushed down to SQL Server. Power Query itself ends up just constructing the query and passing the results back to Excel, it does not do any of the data transformation steps itself. So now you can feel a bit more comfortable showing Power Query to your less technical Colleagues knowing that the tool will do it's best fold all the  small steps in Power Query down the most efficient query that it can against the source systems.

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• Finally! Entity Framework working in fully disconnected N-tier web app

  - by oazabir

  Entity Framework was supposed to solve the problem of Linq to SQL, which requires endless hacks to make it work in n-tier world. Not only did Entity Framework solve none of the L2S problems, but also it made it even more difficult to use and hack it for n-tier scenarios. It’s somehow half way between a fully disconnected ORM and a fully connected ORM like Linq to SQL. Some useful features of Linq to SQL are gone – like automatic deferred loading. If you try to do simple select with join, insert, update, delete in a disconnected architecture, you will realize not only you need to make fundamental changes from the top layer to the very bottom layer, but also endless hacks in basic CRUD operations. I will show you in this article how I have  added custom CRUD functions on top of EF’s ObjectContext to make it finally work well in a fully disconnected N-tier web application (my open source Web 2.0 AJAX portal – Dropthings) and how I have produced a 100% unit testable fully n-tier compliant data access layerfollowing the repository pattern. http://www.codeproject.com/KB/linq/ef.aspx In .NET 4.0, most of the problems are solved, but not all. So, you should read this article even if you are coding in .NET 4.0. Moreover, there’s enough insight here to help you troubleshoot EF related problems. You might think “Why bother using EF when Linq to SQL is doing good enough for me.” Linq to SQL is not going to get any innovation from Microsoft anymore. Entity Framework is the future of persistence layer in .NET framework. All the innovations are happening in EF world only, which is frustrating. There’s a big jump on EF 4.0. So, you should plan to migrate your L2S projects to EF soon.

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• SSIS Denali as part of “Enterprise Information Management”

  - by jorg

  When watching the SQL PASS session “What’s Coming Next in SSIS?” of Steve Swartz, the Group Program Manager for the SSIS team, an interesting question came up: Why is SSIS thought of to be BI, when we use it so frequently for other sorts of data problems? The answer of Steve was that he breaks the world of data work into three parts: Process of inputs BI   Enterprise Information Management All the work you have to do when you have a lot of data to make it useful and clean and get it to the right place. This covers master data management, data quality work, data integration and lineage analysis to keep track of where the data came from. All of these are part of Enterprise Information Management. Next, Steve told Microsoft is developing SSIS as part of a large push in all of these areas in the next release of SQL. So SSIS will be, next to a BI tool, part of Enterprise Information Management in the next release of SQL Server. I'm interested in the different ways people use SSIS, I've basically used it for ETL, data migrations and processing inputs. In which ways did you use SSIS?

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