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Hive metadata permission issue

- by Chandramohan

We are getting this error on Hive, while creating a DB / table hive> CREATE TABLE pokes (foo INT, bar STRING); FAILED: Error in metadata: javax.jdo.JDOFatalDataStoreException: Cannot get a connection, pool error Could not create a validated object, cause: A read-only user or a user in a read-only database is not permitted to disable read-only mode on a connection. NestedThrowables: org.apache.commons.dbcp.SQLNestedException: Cannot get a connection, pool error Could not create a validated object, cause: A read-only user or a user in a read-only database is not permitted to disable read-only mode on a connection. FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask Hive log : org.apache.commons.dbcp.SQLNestedException: Cannot get a connection, pool error Could not create a validated object, cause: A read-only user or a user in a read-only database is not permitted to disable read-only mode on a connection. at org.datanucleus.jdo.NucleusJDOHelper.getJDOExceptionForNucleusException(NucleusJDOHelper.java:298) at org.datanucleus.jdo.JDOPersistenceManagerFactory.freezeConfiguration(JDOPersistenceManagerFactory.java:601) at org.datanucleus.jdo.JDOPersistenceManagerFactory.createPersistenceManagerFactory(JDOPersistenceManagerFactory.java:286) at org.datanucleus.jdo.JDOPersistenceManagerFactory.getPersistenceManagerFactory(JDOPersistenceManagerFactory.java:182) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at javax.jdo.JDOHelper$16.run(JDOHelper.java:1958) at java.security.AccessController.doPrivileged(Native Method) at javax.jdo.JDOHelper.invoke(JDOHelper.java:1953) at javax.jdo.JDOHelper.invokeGetPersistenceManagerFactoryOnImplementation(JDOHelper.java:1159) at javax.jdo.JDOHelper.getPersistenceManagerFactory(JDOHelper.java:803) at javax.jdo.JDOHelper.getPersistenceManagerFactory(JDOHelper.java:698) at org.apache.hadoop.hive.metastore.ObjectStore.getPMF(ObjectStore.java:234) at org.apache.hadoop.hive.metastore.ObjectStore.getPersistenceManager(ObjectStore.java:261) at org.apache.hadoop.hive.metastore.ObjectStore.initialize(ObjectStore.java:196) at org.apache.hadoop.hive.metastore.ObjectStore.setConf(ObjectStore.java:171) at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:62) at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:117) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.getMS(HiveMetaStore.java:354) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.executeWithRetry(HiveMetaStore.java:306) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:451) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:232) at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.<init>(HiveMetaStore.java:197) at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:108) at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:1868) at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:1878) at org.apache.hadoop.hive.ql.metadata.Hive.createTable(Hive.java:470) ... 15 more Caused by: org.apache.commons.dbcp.SQLNestedException: Cannot get a connection, pool error Could not create a validated object, cause: A read-only user or a user in a read-only database is not permitted to disable read-only mode on a connection. at org.apache.commons.dbcp.PoolingDataSource.getConnection(PoolingDataSource.java:114) at org.datanucleus.store.rdbms.ConnectionFactoryImpl$ManagedConnectionImpl.getConnection(ConnectionFactoryImpl.java:521) at org.datanucleus.store.rdbms.RDBMSStoreManager.<init>(RDBMSStoreManager.java:290) at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:39) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:27) at java.lang.reflect.Constructor.newInstance(Constructor.java:513) at org.datanucleus.plugin.NonManagedPluginRegistry.createExecutableExtension(NonManagedPluginRegistry.java:588) at org.datanucleus.plugin.PluginManager.createExecutableExtension(PluginManager.java:300) at org.datanucleus.ObjectManagerFactoryImpl.initialiseStoreManager(ObjectManagerFactoryImpl.java:161) at org.datanucleus.jdo.JDOPersistenceManagerFactory.freezeConfiguration(JDOPersistenceManagerFactory.java:583) ... 42 more Caused by: java.util.NoSuchElementException: Could not create a validated object, cause: A read-only user or a user in a read-only database is not permitted to disable read-only mode on a connection. at org.apache.commons.pool.impl.GenericObjectPool.borrowObject(GenericObjectPool.java:1191) at org.apache.commons.dbcp.PoolingDataSource.getConnection(PoolingDataSource.java:106) ... 52 more 2011-08-11 18:02:36,964 ERROR ql.Driver (SessionState.java:printError(343)) - FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask

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SQL SERVER – DQS Error – Cannot connect to server – A .NET Framework error occurred during execution of user-defined routine or aggregate “SetDataQualitySessions” – SetDataQualitySessionPhaseTwo

- by pinaldave

Earlier I wrote a blog post about how to install DQS in SQL Server 2012. Today I decided to write a second part of this series where I explain how to use DQS, however, as soon as I started the DQS client, I encountered an error that will not let me pass through and connect with DQS client. It was a bit strange to me as everything was functioning very well when I left it last time. The error was very big but here are the first few words of it. Cannot connect to server. A .NET Framework error occurred during execution of user-defined routine or aggregate “SetDataQualitySessions”: System.Data.SqlClient.SqlException (0×80131904): A .NET Framework error occurred during execution of user-defined routine or aggregate “SetDataQualitySessionPhaseTwo”: The error continues – here is the quick screenshot of the error. As my initial attempts could not fix the error I decided to search online and I finally received a wonderful solution from Microsoft Site. The error has happened due to latest update I had installed on .NET Framework 4. There was a mismatch between the Module Version IDs (MVIDs) of the SQL Common Language Runtime (SQLCLR) assemblies in the SQL Server 2012 database and the Global Assembly Cache (GAC). This mismatch was to be resolved for the DQS to work properly. The workaround is specified here in detail. Scroll to subtopic 4.23 Some .NET Framework 4 Updates Might Cause DQS to Fail. The script was very much straight forward. Here are the few things to not to miss while applying workaround. Make sure DQS client is properly closed The NETAssemblies is based on your OS. NETAssemblies for 64 bit machine – which is my machine is “c:\windows\Microsoft.NET\Framework64\v4.0.30319″. If you have Winodws installed on any other drive other than c:\windows do not forget to change that in the above path. Additionally if you have 32 bit version installed on c:\windows you should use path as ”c:\windows\Microsoft.NET\Framework\v4.0.30319″ Make sure that you execute the script specified in 4.23 sections in this article in the database DQS_MAIN. Do not run this in the master database as this will not fix your error. Do not forget to restart your SQL Services once above script has been executed. Once you open the client it will work this time. Here is the script which I have bit modified from original script. I strongly suggest that you use original script mentioned 4.23 sections. However, this one is customized my own machine. /* Original source: http://bit.ly/PXX4NE (Technet) Modifications: -- Added Database context -- Added environment variable @NETAssemblies -- Main script modified to use @NETAssemblies */ USE DQS_MAIN GO BEGIN -- Set your environment variable -- assumption - Windows is installed in c:\windows folder DECLARE @NETAssemblies NVARCHAR(200) -- For 64 bit uncomment following line SET @NETAssemblies = 'c:\windows\Microsoft.NET\Framework64\v4.0.30319\' -- For 32 bit uncomment following line -- SET @NETAssemblies = 'c:\windows\Microsoft.NET\Framework\v4.0.30319\' DECLARE @AssemblyName NVARCHAR(200), @RefreshCmd NVARCHAR(200), @ErrMsg NVARCHAR(200) DECLARE ASSEMBLY_CURSOR CURSOR FOR SELECT name AS NAME FROM sys.assemblies WHERE name NOT LIKE '%ssdqs%' AND name NOT LIKE '%microsoft.sqlserver.types%' AND name NOT LIKE '%practices%' AND name NOT LIKE '%office%' AND name NOT LIKE '%stdole%' AND name NOT LIKE '%Microsoft.Vbe.Interop%' OPEN ASSEMBLY_CURSOR FETCH NEXT FROM ASSEMBLY_CURSOR INTO @AssemblyName WHILE @@FETCH_STATUS = 0 BEGIN BEGIN TRY SET @RefreshCmd = 'ALTER ASSEMBLY [' + @AssemblyName + '] FROM ''' + @NETAssemblies + @AssemblyName + '.dll' + ''' WITH PERMISSION_SET = UNSAFE' EXEC sp_executesql @RefreshCmd PRINT 'Successfully upgraded assembly ''' + @AssemblyName + '''' END TRY BEGIN CATCH IF ERROR_NUMBER() != 6285 BEGIN SET @ErrMsg = ERROR_MESSAGE() PRINT 'Failed refreshing assembly ' + @AssemblyName + '. Error message: ' + @ErrMsg END END CATCH FETCH NEXT FROM ASSEMBLY_CURSOR INTO @AssemblyName END CLOSE ASSEMBLY_CURSOR DEALLOCATE ASSEMBLY_CURSOR END GO Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Error Messages, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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July, the 31 Days of SQL Server DMO’s – Day 23 (sys.dm_db_index_usage_stats)

- by Tamarick Hill

The sys.dm_db_index_usage_stats Dynamic Management View is used to return usage information about the various indexes on your SQL Server instance. Let’s have a look at this DMV against our AdventureWorks2012 database so we can examine the information returned. SELECT * FROM sys.dm_db_index_usage_stats WHERE database_id = db_id('AdventureWorks2012') The first three columns in the result set represent the database_id, object_id, and index_id of a given row. You can join these columns back to other system tables to extract the actual database, object, and index names. The next four columns are probably the most beneficial columns within this DMV. First, the user_seeks column represents the number of times that a user query caused a seek operation against a particular index. The user_scans column represents how many times a user query caused a scan operation on a particular index. The user_lookups column represents how many times an index was used to perform a lookup operation. The user_updates column refers to how many times an index had to be updated due to a write operation that effected a particular index. The last_user_seek, last_user_scan, last_user_lookup, and last_user_update columns provide you with DATETIME information about when the last user scan, seek, lookup, or update operation was performed. The remaining columns in the result set are the same as the ones we previously discussed, except instead of the various operations being generated from user requests, they are generated from system background requests. This is an extremely useful DMV and one of my favorites when it comes to Index Maintenance. As we all know, indexes are extremely beneficial with improving the performance of your read operations. But indexes do have a downside as well. Indexes slow down the performance of your write operations, and they also require additional resources for storage. For this reason, in my opinion, it is important to regularly analyze the indexes on your system to make sure the indexes you have are being used efficiently. My AdventureWorks2012 database is only used for demonstrating or testing things, so I dont have a lot of meaningful information here, but for a Production system, if you see an index that is never getting any seeks, scans, or lookups, but is constantly getting a ton of updates, it more than likely would be a good candidate for you to consider removing. You would not be getting much benefit from the index, but yet it is incurring a cost on your system due to it constantly having to be updated for your write operations, not to mention the additional storage it is consuming. You should regularly analyze your indexes to ensure you keep your database systems as efficient and lean as possible. One thing to note is that these DMV statistics are reset every time SQL Server is restarted. Therefore it would not be a wise idea to make decisions about removing indexes after a Server Reboot or a cluster roll. If you restart your SQL Server instances frequently, for example if you schedule weekly/monthly cluster rolls, then you may not capture indexes that are being used for weekly/monthly reports that run for business users. And if you remove them, you may have some upset people at your desk on Monday morning. If you would like to begin analyzing your indexes to possibly remove the ones that your system is not using, I would recommend building a process to load this DMV information into a table on scheduled basis, depending on how frequently you perform an operation that would reset these statistics, then you can analyze the data over a period of time to get a more accurate view of what indexes are really being used and which ones or not. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms188755.aspx Follow me on Twitter @PrimeTimeDBA

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SQL 2005 Transaction Rollback Hung–unresolved deadlock

- by steveh99999

Encountered an interesting issue recently with a SQL 2005 sp3 Enterprise Edition system. Every weekend, a full database reindex was being run on this system – normally this took around one and a half hours. Then, one weekend, the job ran for over 17 hours - and had yet to complete... At this point, DBA cancelled the job. Job status is now cancelled – issue over… However, cancelling the job had not killed the reindex transaction – DBCC OPENTRAN was still showing the transaction being open. The oldest open transaction in the database was now over 17 hours old. Consequently, transaction log % used growing dramatically and locks still being held in the database... Further attempts to kill the transaction did nothing. ie we had a transaction which could not be killed. In sysprocesses, it was apparent the SPID was in rollback status, but the spid was not accumulating CPU or IO. Was the SPID stuck ? On examination of the SQL errorlog – shortly after the reindex had started, a whole bunch of deadlock output had been produced by trace flag 1222. Then this :- spid5s ***Stack Dump being sent to xxxxxxx\SQLDump0042.txt spid5s * ******************************************************************************* spid5s * spid5s * BEGIN STACK DUMP: spid5s * 12/05/10 01:04:47 spid 5 spid5s * spid5s * Unresolved deadlock spid5s * spid5s * spid5s * ******************************************************************************* spid5s * ------------------------------------------------------------------------------- spid5s * Short Stack Dump spid5s Stack Signature for the dump is 0x000001D7 spid5s External dump process return code 0x20000001. Unresolved deadlock – don’t think I’ve ever seen one of these before…. A quick call to Microsoft support confirmed the following bug had been hit :- http://support.microsoft.com/kb/961479 So, only option to get rid of the hung spid – to restart SQL Server… Fortunately SQL Server restarted without any issues. I was pleasantly surprised to see that recovery on this particular database was fast. However, restarting SQL Server to fix an issue is not something I would normally rush to do... Short term fix – the reindex was changed to use MAXDOP of 1. Longer term fix will be to apply the correct CU, or wait for SQL 2005 sp 4 ?? This should be released any day soon I hope..

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

- by Thanos Terentes Printzios

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

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SQLAuthority News – Follow up on – Replace a Column Name in Multiple Stored Procedure all together

- by pinaldave

Last month I had a fantastic time with lots of puzzles and brain teasers, the amount of participation which I have received on the blog is indeed inspiring to write more. One of the blog post was about how to replace a column name in all the stored procedures. The article had very interesting conversation as a follow up. Please read the original article Replace a Column Name in Multiple Stored Procedure all together before reading this blog further as they are connected. Let us start few of the interesting comments. SQL Server Expert Imran Mohammed had a wonderful first and excellent note. I suggest all of you to read it. Imran stresses on the Data Modelling and Logical as well as Physical Design. Developers must create a logical design and get approval on naming convention, data types, references, constraints, indexes etc. He further suggested that one should not cut steps but must follow all the industry standards and guidelines. Here extended my blog post with following note – “Extending Pinal’s answer, what you can do is go to database properties, all tasks, scripts objects, in scripting wizard select all the stored procedure for which you want to change column name, export the query to a new window and then do find and replace, all in once window and execute the script. But make sure you check what you are replacing, sometimes column names are also used in table names, for ex:Table Name: Product and Column Name: ProductId, ProductName”. Thanks Imran Great Points! Gatej Alexandru suggested that it is not good idea to DROP or CREATE but rather use ALTER as quite possible there may be permissions issue as well. Very good point let me see if I can write blog post over it. Vinay Kumar and SQLStudent144 have proposed another method to achieve the same. I am combining their solution and writing them here. Step 1. Press Ctrl+T or change “Result to Text” mode. Step 2. Execute below commands.SELECT 'EXEC sp_helptext [' + referencing_schema_name + '.' + referencing_entity_name + ']' FROM sys.dm_sql_referencing_entities('schema.objectname','OBJECT') Where schema.objectname is the object or table you are searching for. Step 3. Now copy the result and paste in new window. Again Press Ctrl+T or change “Result to Text” mode. Step 4. Copy the result and paste in new window. Execute the query. Step 5. Copy the result and paste in new window. Step 6. Now find your searching text in the script, make necessary changes and execute this script. Do not forget to remove the code which is generated in resultset which are not relevant to the T-SQL Script. Digitqr suggest we can do this for other objects besides Stored Procedure as well. Iosif suggests to use tool SQL Search from RedGate. I guess this sums it well. We have an alternative perspective to our original issue of replacing the column name in multiple stored procedure. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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career in Mobile sw/Application Development [closed]

- by pramod

i m planning to do a course on Wireless & mobile computing.The syllabus are given below.Please check & let me know whether its worth to do.How is the job prospects after that.I m a fresher & from electronic Engg.The modules are- *Wireless and Mobile Computing (WiMC) – Modules* C, C++ Programming and Data Structures 100 Hours C Revision C, C++ programming tools on linux(Vi editor, gdb etc.) OOP concepts Programming constructs Functions Access Specifiers Classes and Objects Overloading Inheritance Polymorphism Templates Data Structures in C++ Arrays, stacks, Queues, Linked Lists( Singly, Doubly, Circular) Trees, Threaded trees, AVL Trees Graphs, Sorting (bubble, Quick, Heap , Merge) System Development Methodology 18 Hours Software life cycle and various life cycle models Project Management Software: A Process Various Phases in s/w Development Risk Analysis and Management Software Quality Assurance Introduction to Coding Standards Software Project Management Testing Strategies and Tactics Project Management and Introduction to Risk Management Java Programming 110 Hours Data Types, Operators and Language Constructs Classes and Objects, Inner Classes and Inheritance Inheritance Interface and Package Exceptions Threads Java.lang Java.util Java.awt Java.io Java.applet Java.swing XML, XSL, DTD Java n/w programming Introduction to servlet Mobile and Wireless Technologies 30 Hours Basics of Wireless Technologies Cellular Communication: Single cell systems, multi-cell systems, frequency reuse, analog cellular systems, digital cellular systems GSM standard: Mobile Station, BTS, BSC, MSC, SMS sever, call processing and protocols CDMA standard: spread spectrum technologies, 2.5G and 3G Systems: HSCSD, GPRS, W-CDMA/UMTS,3GPP and international roaming, Multimedia services CDMA based cellular mobile communication systems Wireless Personal Area Networks: Bluetooth, IEEE 802.11a/b/g standards Mobile Handset Device Interfacing: Data Cables, IrDA, Bluetooth, Touch- Screen Interfacing Wireless Security, Telemetry Java Wireless Programming and Applications Development(J2ME) 100 Hours J2ME Architecture The CLDC and the KVM Tools and Development Process Classification of CLDC Target Devices CLDC Collections API CLDC Streams Model MIDlets MIDlet Lifecycle MIDP Programming MIDP Event Architecture High-Level Event Handling Low-Level Event Handling The CLDC Streams Model The CLDC Networking Package The MIDP Implementation Introduction to WAP, WML Script and XHTML Introduction to Multimedia Messaging Services (MMS) Symbian Programming 60 Hours Symbian OS basics Symbian OS services Symbian OS organization GUI approaches ROM building Debugging Hardware abstraction Base porting Symbian OS reference design porting File systems Overview of Symbian OS Development – DevKits, CustKits and SDKs CodeWarrior Tool Application & UI Development Client Server Framework ECOM STDLIB in Symbian iPhone Programming 80 Hours Introducing iPhone core specifications Understanding iPhone input and output Designing web pages for the iPhone Capturing iPhone events Introducing the webkit CSS transforms transitions and animations Using iUI for web apps Using Canvas for web apps Building web apps with Dashcode Writing Dashcode programs Debugging iPhone web pages SDK programming for web developers An introduction to object-oriented programming Introducing the iPhone OS Using Xcode and Interface builder Programming with the SDK Toolkit OS Concepts & Linux Programming 60 Hours Operating System Concepts What is an OS? Processes Scheduling & Synchronization Memory management Virtual Memory and Paging Linux Architecture Programming in Linux Linux Shell Programming Writing Device Drivers Configuring and Building GNU Cross-tool chain Configuring and Compiling Linux Virtual File System Porting Linux on Target Hardware WinCE.NET and Database Technology 80 Hours Execution Process in .NET Environment Language Interoperability Assemblies Need of C# Operators Namespaces & Assemblies Arrays Preprocessors Delegates and Events Boxing and Unboxing Regular Expression Collections Multithreading Programming Memory Management Exceptions Handling Win Forms Working with database ASP .NET Server Controls and client-side scripts ASP .NET Web Server Controls Validation Controls Principles of database management Need of RDBMS etc Client/Server Computing RDBMS Technologies Codd’s Rules Data Models Normalization Techniques ER Diagrams Data Flow Diagrams Database recovery & backup SQL Android Application 80 Hours Introduction of android Why develop for android Android SDK features Creating android activities Fundamental android UI design Intents, adapters, dialogs Android Technique for saving data Data base in Androids Maps, Geocoding, Location based services Toast, using alarms, Instant messaging Using blue tooth Using Telephony Introducing sensor manager Managing network and wi-fi connection Advanced androids development Linux kernel security Implement AIDL Interface. Project 120 Hours

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October 2012 Critical Patch Update and Critical Patch Update for Java SE Released

- by Eric P. Maurice

Hi, this is Eric Maurice. Oracle has just released the October 2012 Critical Patch Update and the October 2012 Critical Patch Update for Java SE. As a reminder, the release of security patches for Java SE continues to be on a different schedule than for other Oracle products due to commitments made to customers prior to the Oracle acquisition of Sun Microsystems. We do however expect to ultimately bring Java SE in line with the regular Critical Patch Update schedule, thus increasing the frequency of scheduled security releases for Java SE to 4 times a year (as opposed to the current 3 yearly releases). The schedules for the “normal” Critical Patch Update and the Critical Patch Update for Java SE are posted online on the Critical Patch Updates and Security Alerts page. The October 2012 Critical Patch Update provides a total of 109 new security fixes across a number of product families including: Oracle Database Server, Oracle Fusion Middleware, Oracle E-Business Suite, Supply Chain Products Suite, Oracle PeopleSoft Enterprise, Oracle Customer Relationship Management (CRM), Oracle Industry Applications, Oracle FLEXCUBE, Oracle Sun products suite, Oracle Linux and Virtualization, and Oracle MySQL. Out of these 109 new vulnerabilities, 5 affect Oracle Database Server. The most severe of these Database vulnerabilities has received a CVSS Base Score of 10.0 on Windows platforms and 7.5 on Linux and Unix platforms. This vulnerability (CVE-2012-3137) is related to the “Cryptographic flaws in Oracle Database authentication protocol” disclosed at the Ekoparty Conference. Because of timing considerations (proximity to the release date of the October 2012 Critical Patch Update) and the need to extensively test the fixes for this vulnerability to ensure compatibility across the products stack, the fixes for this vulnerability were not released through a Security Alert, but instead mitigation instructions were provided prior to the release of the fixes in this Critical Patch Update in My Oracle Support Note 1492721.1. Because of the severity of these vulnerabilities, Oracle recommends that this Critical Patch Update be installed as soon as possible. Another 26 vulnerabilities fixed in this Critical Patch Update affect Oracle Fusion Middleware. The most severe of these Fusion Middleware vulnerabilities has received a CVSS Base Score of 10.0; it affects Oracle JRockit and is related to Java vulnerabilities fixed in the Critical Patch Update for Java SE. The Oracle Sun products suite gets 18 new security fixes with this Critical Patch Update. Note also that Oracle MySQL has received 14 new security fixes; the most severe of these MySQL vulnerabilities has received a CVSS Base Score of 9.0. Today’s Critical Patch Update for Java SE provides 30 new security fixes. The most severe CVSS Base Score for these Java SE vulnerabilities is 10.0 and this score affects 10 vulnerabilities. As usual, Oracle reports the most severe CVSS Base Score, and these CVSS 10.0s assume that the user running a Java Applet or Java Web Start application has administrator privileges (as is typical on Windows XP). However, when the user does not run with administrator privileges (as is typical on Solaris and Linux), the corresponding CVSS impact scores for Confidentiality, Integrity, and Availability are "Partial" instead of "Complete", typically lowering the CVSS Base Score to 7.5 denoting that the compromise does not extend to the underlying Operating System. Also, as is typical in the Critical Patch Update for Java SE, most of the vulnerabilities affect Java and Java FX client deployments only. Only 2 of the Java SE vulnerabilities fixed in this Critical Patch Update affect client and server deployments of Java SE, and only one affects server deployments of JSSE. This reflects the fact that Java running on servers operate in a more secure and controlled environment. As discussed during a number of sessions at JavaOne, Oracle is considering security enhancements for Java in desktop and browser environments. Finally, note that the Critical Patch Update for Java SE is cumulative, in other words it includes all previously released security fixes, including the fix provided through Security Alert CVE-2012-4681, which was released on August 30, 2012. For More Information: The October 2012 Critical Patch Update advisory is located at http://www.oracle.com/technetwork/topics/security/cpuoct2012-1515893.html The October 2012 Critical Patch Update for Java SE advisory is located at http://www.oracle.com/technetwork/topics/security/javacpuoct2012-1515924.html. An online video about the importance of keeping up with Java releases and the use of the Java auto update is located at http://medianetwork.oracle.com/video/player/1218969104001 More information about Oracle Software Security Assurance is located at http://www.oracle.com/us/support/assurance/index.html

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Do I need to be worried about these SMART drive temperatures?

- by Steve Lorimer

I have 5 hard drives in a machine sitting in a cupboard. /dev/sda is a 500GB Seagate drive, and is the boot disk. /dev/sd{b,c,d,e} are 2TB drives in a raid6 configuration. smartctl is showing significantly higher temperatures (like ~140 degrees celsius) on the raid drives than the boot drive. Do I need to be worried? /dev/sdb and /dev/sde are new Western Digital Black drives (new=1 week) /dev/sdc and /dev/sdd are 5 year old Hitachi drives /dev/sda [SAT], Temperature_Celsius changed from 40 to 39 /dev/sdc [SAT], Temperature_Celsius changed from 142 to 146 /dev/sdc [SAT], Temperature_Celsius changed from 146 to 142 /dev/sdd [SAT], Temperature_Celsius changed from 142 to 146 /dev/sda [SAT], Airflow_Temperature_Cel changed from 61 to 62 /dev/sda [SAT], Temperature_Celsius changed from 39 to 38 /dev/sde [SAT], Temperature_Celsius changed from 107 to 108 /dev/sdb [SAT], Temperature_Celsius changed from 108 to 109 /dev/sdc [SAT], Temperature_Celsius changed from 146 to 150 /dev/sdc [SAT], Temperature_Celsius changed from 146 to 150 /dev/sda [SAT], Airflow_Temperature_Cel changed from 62 to 61 /dev/sda [SAT], Temperature_Celsius changed from 38 to 39 Update: Adding detailed drive information as per request: /dev/sda =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Model Family: Seagate Pipeline HD 5900.2 Device Model: ST3500312CS Serial Number: 5VV47HXA LU WWN Device Id: 5 000c50 02aad5ad6 Firmware Version: SC13 User Capacity: 500,107,862,016 bytes [500 GB] Sector Size: 512 bytes logical/physical Rotation Rate: 5900 rpm Device is: In smartctl database [for details use: -P show] ATA Version is: ATA8-ACS T13/1699-D revision 4 SATA Version is: SATA 2.6, 1.5 Gb/s (current: 1.5 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sdb =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Device Model: WDC WD2003FZEX-00Z4SA0 Serial Number: WD-WMC1F1398726 LU WWN Device Id: 5 0014ee 003b8bd25 Firmware Version: 01.01A01 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Sizes: 512 bytes logical, 4096 bytes physical Rotation Rate: 7200 rpm Device is: Not in smartctl database [for details use: -P showall] ATA Version is: ACS-2 (minor revision not indicated) SATA Version is: SATA 3.0, 6.0 Gb/s (current: 3.0 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sdc =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Model Family: Hitachi Deskstar 7K3000 Device Model: Hitachi HDS723020BLA642 Serial Number: MN1220F30WSTUD LU WWN Device Id: 5 000cca 369cc9f5d Firmware Version: MN6OA580 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Size: 512 bytes logical/physical Rotation Rate: 7200 rpm Device is: In smartctl database [for details use: -P show] ATA Version is: ATA8-ACS T13/1699-D revision 4 SATA Version is: SATA 2.6, 6.0 Gb/s (current: 3.0 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sdd =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Model Family: Hitachi Deskstar 7K3000 Device Model: Hitachi HDS723020BLA642 Serial Number: MN1220F30WST4D LU WWN Device Id: 5 000cca 369cc9f48 Firmware Version: MN6OA580 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Size: 512 bytes logical/physical Rotation Rate: 7200 rpm Device is: In smartctl database [for details use: -P show] ATA Version is: ATA8-ACS T13/1699-D revision 4 SATA Version is: SATA 2.6, 6.0 Gb/s (current: 1.5 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sde =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Device Model: WDC WD2003FZEX-00Z4SA0 Serial Number: WD-WMC1F1483782 LU WWN Device Id: 5 0014ee 3002d235c Firmware Version: 01.01A01 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Sizes: 512 bytes logical, 4096 bytes physical Rotation Rate: 7200 rpm Device is: Not in smartctl database [for details use: -P showall] ATA Version is: ACS-2 (minor revision not indicated) SATA Version is: SATA 3.0, 6.0 Gb/s (current: 1.5 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled

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A quick look at: sys.dm_os_buffer_descriptors

- by Jonathan Allen

SQL Server places data into cache as it reads it from disk so as to speed up future queries. This dmv lets you see how much data is cached at any given time and knowing how this changes over time can help you ensure your servers run smoothly and are adequately resourced to run your systems. This dmv gives the number of cached pages in the buffer pool along with the database id that they relate to: USE [tempdb] GO SELECT COUNT(*) AS cached_pages_count , CASE database_id WHEN 32767 THEN 'ResourceDb' ELSE DB_NAME(database_id) END AS Database_name FROM sys.dm_os_buffer_descriptors GROUP BY DB_NAME(database_id) , database_id ORDER BY cached_pages_count DESC; This gives you results which are quite useful, but if you add a new column with the code: …to convert the pages value to show a MB value then they become more relevant and meaningful. To see how your server reacts to queries, start up SSMS and connect to a test server and database – mine is called AdventureWorks2008. Make sure you start from a know position by running: -- Only run this on a test server otherwise your production server's-- performance may drop off a cliff and your phone will start ringing. DBCC DROPCLEANBUFFERS GO Now we can run a query that would normally turn a DBA’s hair white: USE [AdventureWorks2008] go SELECT * FROM [Sales].[SalesOrderDetail] AS sod INNER JOIN [Sales].[SalesOrderHeader] AS soh ON [sod].[SalesOrderID] = [soh].[SalesOrderID] …and then check our cache situation: A nice low figure – not! Almost 2000 pages of data in cache equating to approximately 15MB. Luckily these tables are quite narrow; if this had been on a table with more columns then this could be even more dramatic. So, let’s make our query more efficient. After resetting the cache with the DROPCLEANBUFFERS and FREEPROCCACHE code above, we’ll only select the columns we want and implement a WHERE predicate to limit the rows to a specific customer. SELECT [sod].[OrderQty] , [sod].[ProductID] , [soh].[OrderDate] , [soh].[CustomerID] FROM [Sales].[SalesOrderDetail] AS sod INNER JOIN [Sales].[SalesOrderHeader] AS soh ON [sod].[SalesOrderID] = [soh].[SalesOrderID] WHERE [soh].[CustomerID] = 29722 …and check our effect cache: Now that is more sympathetic to our server and the other systems sharing its resources. I can hear you asking: “What has this got to do with logging, Jonathan?” Well, a smart DBA will keep an eye on this metric on their servers so they know how their hardware is coping and be ready to investigate anomalies so that no ‘disruptive’ code starts to unsettle things. Capturing this information over a period of time can lead you to build a picture of how a database relies on the cache and how it interacts with other databases. This might allow you to decide on appropriate schedules for over night jobs or otherwise balance the work of your server. You could schedule this job to run with a SQL Agent job and store the data in your DBA’s database by creating a table with: IF OBJECT_ID('CachedPages') IS NOT NULL DROP TABLE CachedPages CREATE TABLE CachedPages ( cached_pages_count INT , MB INT , Database_Name VARCHAR(256) , CollectedOn DATETIME DEFAULT GETDATE() ) …and then filling it with: INSERT INTO [dbo].[CachedPages] ( [cached_pages_count] , [MB] , [Database_Name] ) SELECT COUNT(*) AS cached_pages_count , ( COUNT(*) * 8.0 ) / 1024 AS MB , CASE database_id WHEN 32767 THEN 'ResourceDb' ELSE DB_NAME(database_id) END AS Database_name FROM sys.dm_os_buffer_descriptors GROUP BY database_id After this has been left logging your system metrics for a while you can easily see how your databases use the cache over time and may see some spikes that warrant your attention. This sort of logging can be applied to all sorts of server statistics so that you can gather information that will give you baseline data on how your servers are performing. This means that when you get a problem you can see what statistics are out of their normal range and target you efforts to resolve the issue more rapidly.

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MySQL Cluster 7.3: On-Demand Webinar and Q&A Available

- by Mat Keep

The on-demand webinar for the MySQL Cluster 7.3 Development Release is now available. You can learn more about the design, implementation and getting started with all of the new MySQL Cluster 7.3 features from the comfort and convenience of your own device, including: - Foreign Key constraints in MySQL Cluster - Node.js NoSQL API - Auto-installation of higher performance distributed, clusters We received some great questions over the course of the webinar, and I wanted to share those for the benefit of a broader audience. Q. What Foreign Key actions are supported: A. The core referential actions defined in the SQL:2003 standard are implemented: CASCADE RESTRICT NO ACTION SET NULL Q. Where are Foreign Keys implemented, ie data nodes or SQL nodes? A. They are implemented in the data nodes, therefore can be enforced for both the SQL and NoSQL APIs Q. Are they compatible with the InnoDB Foreign Key implementation? A. Yes, with the following exceptions: - InnoDB doesn’t support “No Action” constraints, MySQL Cluster does - You can choose to suspend FK constraint enforcement with InnoDB using the FOREIGN_KEY_CHECKS parameter; at the moment, MySQL Cluster ignores that parameter. - You cannot set up FKs between 2 tables where one is stored using MySQL Cluster and the other InnoDB. - You cannot change primary keys through the NDB API which means that the MySQL Server actually has to simulate such operations by deleting and re-adding the row. If the PK in the parent table has a FK constraint on it then this causes non-ideal behaviour. With Restrict or No Action constraints, the change will result in an error. With Cascaded constraints, you’d want the rows in the child table to be updated with the new FK value but, the implicit delete of the row from the parent table would remove the associated rows from the child table and the subsequent implicit insert into the parent wouldn’t reinstate the child rows. For this reason, an attempt to add an ON UPDATE CASCADE where the parent column is a primary key will be rejected. Q. Does adding or dropping Foreign Keys cause downtime due to a schema change? A. Nope, this is an online operation. MySQL Cluster supports a number of on-line schema changes, ie adding and dropping indexes, adding columns, etc. Q. Where can I see an example of node.js with MySQL Cluster? A. Check out the tutorial and download the code from GitHub Q. Can I use the auto-installer to support remote deployments? How about setting up MySQL Cluster 7.2? A. Yes to both! Q. Can I get a demo Check out the tutorial. You can download the code from http://labs.mysql.com/ Go to Select Build drop-down box Q. What is be minimum internet speen required for Geo distributed cluster with synchronous replication? A. if you're splitting you cluster between sites then we recommend a network latency of 20ms or less. Alternatively, use MySQL asynchronous replication where the latency of your WAN doesn't impact the latency of your reads/writes. Q. Where you can one learn more about the PayPal project with MySQL Cluster? A. Take a look at the following - you'll find press coverage, a video and slides from their keynote presentation So, if you want to learn more, listen to the new MySQL Cluster 7.3 on-demand webinar MySQL Cluster 7.3 is still in the development phase, so it would be great to get your feedback on these new features, and things you want to see!

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FairWarning Privacy Monitoring Solutions Rely on MySQL to Secure Patient Data

- by Rebecca Hansen

FairWarning® solutions have audited well over 120 billion events, each of which was processed and stored in a MySQL database. FairWarning is the world's leading supplier of privacy monitoring solutions for electronic health records, relied on by over 1,200 Hospitals and 5,000 Clinics to keep their patients' data safe. In January 2014, FairWarning was awarded the highest commendation in healthcare IT as the first ever Category Leader for Patient Privacy Monitoring in the "2013 Best in KLAS: Software & Services" report[1]. FairWarning has used MySQL as their solutions’ database from their start in 2005 to worldwide expansion and market leadership. FairWarning recently migrated their solutions from MyISAM to InnoDB and updated from MySQL 5.5 to 5.6. Following are some of benefits they’ve had as a result of those changes and reasons for their continued reliance on MySQL (from FairWarning MySQL Case Study). Scalability to Handle Terabytes of Data FairWarning's customers have a lot of data: On average, FairWarning customers receive over 700,000 events to be processed daily. Over 25% of their customers receive over 30 million events per day, which equates to over 1 billion events and nearly one terabyte (TB) of new data each month. Databases range in size from a few hundred GBs to 10+ TBs for enterprise deployments (data are rolled off after 13 months). Low or Zero Admin = Few DBAs "MySQL has not required a lot of administration. After it's been tuned, configured, and optimized for size on initial setup, we have very low administrative costs. I can scale and add more customers without adding DBAs. This has had a big, positive impact on our business.” - Chris Arnold, FairWarning Vice President of Product Management and Engineering. Performance Schema As the size of FairWarning's customers has increased, so have their tables and data volumes. MySQL 5.6’ new maintenance and management features have helped FairWarning keep up. In particular, MySQL 5.6 performance schema’s low-level metrics have provided critical insight into how the system is performing and why. Support for Mutli-CPU Threads MySQL 5.6' support for multiple concurrent CPU threads, and FairWarning's custom data loader allow multiple files to load into a single table simultaneously vs. one at a time. As a result, their data load time has been reduced by 500%. MySQL Enterprise Hot Backup Because hospitals and clinics never stop, FairWarning solutions can’t either. FairWarning changed from using mysqldump to MySQL Enterprise Hot Backup, which has reduced downtime, restore time, and storage requirements. For many of their larger customers, restore time has decreased by 80%. MySQL Enterprise Edition and Product Roadmap Provide Complete Solution "MySQL's product roadmap fully addresses our needs. We like the fact that MySQL Enterprise Edition has everything included; there's no need to purchase separate modules." - Chris Arnold Learn More>> FairWarning MySQL Case Study Why MySQL 5.6 is an Even Better Embedded Database for Your Products presentation Updating Your Products to MySQL 5.6, Best Practices for OEMs on-demand webinar (audio and / or slides + Q&A transcript) MyISAM to InnoDB – Why and How on-demand webinar (same stuff) Top 10 Reasons to Use MySQL as an Embedded Database white paper [1] 2013 Best in KLAS: Software & Services report, January, 2014. © 2014 KLAS Enterprises, LLC. All rights reserved.

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Is this simple XOR encrypted communication absolutely secure?

- by user3123061

Say Alice have 4GB USB flash memory and Peter also have 4GB USB flash memory. They once meet and save on both of memories two files named alice_to_peter.key (2GB) and peter_to_alice.key (2GB) which is randomly generated bits. Then they never meet again and communicate electronicaly. Alice also maintains variable called alice_pointer and Peter maintains variable called peter_pointer which is both initially set to zero. Then when Alice needs to send message to Peter they do: encrypted_message_to_peter[n] = message_to_peter[n] XOR alice_to_peter.key[alice_pointer + n] Where n i n-th byte of message. Then alice_pointer is attached at begining of the encrypted message and (alice_pointer + encrypted message) is sent to Peter and then alice_pointer is incremented by length of message (and for maximum security can be used part of key erased) Peter receives encrypted_message, reads alice_pointer stored at beginning of message and do this: message_to_peter[n] = encrypted_message_to_peter[n] XOR alice_to_peter.key[alice_pointer + n] And for maximum security after reading of message also erases used part of key. - EDIT: In fact this step with this simple algorithm (without integrity check and authentication) decreases security, see Paulo Ebermann post below. When Peter needs to send message to Alice they do analogical steps with peter_to_alice.key and with peter_pointer. With this trivial schema they can send for next 50 years each day 2GB / (50 * 365) = cca 115kB of encrypted data in both directions. If they need more data to send, they simple use larger memory for keys for example with today 2TB harddiscs (1TB keys) is possible to exchange next 50years 60MB/day ! (thats practicaly lots of data for example with using compression its more than hour of high quality voice communication) It Seems to me there is no way for attacker to read encrypted message without keys even if they have infinitely fast computer. because even with infinitely fast computer with brute force they get ever possible message that can fit to length of message, but this is astronomical amount of messages and attacker dont know which of them is actual message. I am right? Is this communication schema really absolutely secure? And if its secure, has this communication method its own name? (I mean XOR encryption is well-known, but whats name of this concrete practical application with use large memories at both communication sides for keys? I am humbly expecting that this application has been invented someone before me :-) ) Note: If its absolutely secure then its amazing because with today low cost large memories it is practicaly much cheeper way of secure communication than expensive quantum cryptography and with equivalent security! EDIT: I think it will be more and more practical in future with lower a lower cost of memories. It can solve secure communication forever. Today you have no certainty if someone succesfuly atack to existing ciphers one year later and make its often expensive implementations unsecure. In many cases before comunication exist step where communicating sides meets personaly, thats time to generate large keys. I think its perfect for military communication for example for communication with submarines which can have installed harddrive with large keys and military central can have harddrive for each submarine they have. It can be also practical in everyday life for example for control your bank account because when you create your account you meet with bank etc.

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BizTalk 2009 - Pipeline Component Wizard

- by Stuart Brierley

Recently I decided to try out the BizTalk Server Pipeline Component Wizard when creating a new pipeline component for BizTalk 2009. There are different versions of the wizard available, so be sure to download the appropriate version for the BizTalk environment that you are working with. Following the download and expansion of the zip file, you should be left with a Visual Studio solution. Open this solution and build the project. Following this installation is straight foward - locate and run the built setup.exe file in the PipelineComponentWizard Setup project and click through the small number of installation screens. Once you have completed installation you will be ready to use the wizard in Visual Studio to create your BizTalk Pipeline Component. Start by creating a new project, selecting BizTalk Projects then BizTalk Server Pipeline Component. You will then be presented with the splash screen. The next step is General Setup, where you will detail the classname, namespace, pipeline and component types, and the implementation language for your Pipeline Component. The options for pipeline type are Receive, Send or Any. Depending on the pipeline type chosen there are different options presented for the component type, matching those available within the BizTalk Pipelines themselves: Receive - Decoder, Disassembling Parser, Validate, Party Resolver, Any. Send - Encoder, Assembling Serializer, Any. Any - Any. The options for implementation language are C# or VB.Net Next you must set up the UI settings - these are the settings that affect the appearance of the pipeline component within Visual Studio. You must detail the component name, version, description and icon. Next is the definition of the variables that the pipeline component will use. The values for these variables will be defined in Visual Studio when creating a pipeline. The options for each variable you require are: Designer Property - The name of the variable. Data Type - String, Boolean, Integer, Long, Short, Schema List, Schema With None Clicking finish now will complete the wizard stage of the creation of your pipeline component. Once the wizard has completed you will be left with a BizTalk Server Pipeline Component project containing a skeleton code file for you to complete. Within this code file you will mainly be interested in the execute method, which is left mostly empty ready for you to implement your custom pipeline code: #region IComponent members /// <summary> /// Implements IComponent.Execute method. /// </summary> /// <param name="pc">Pipeline context</param> /// <param name="inmsg">Input message</param> /// <returns>Original input message</returns> /// <remarks> /// IComponent.Execute method is used to initiate /// the processing of the message in this pipeline component. /// </remarks> public Microsoft.BizTalk.Message.Interop.IBaseMessage Execute(Microsoft.BizTalk.Component.Interop.IPipelineContext pc, Microsoft.BizTalk.Message.Interop.IBaseMessage inmsg) { // // TODO: implement component logic // // this way, it's a passthrough pipeline component return inmsg; } #endregion Once you have implemented your custom code, build and compile your Custom Pipeline Component then add the compiled .dll to C:\Program Files\Microsoft BizTalk Server 2009\Pipeline Components . When creating a new pipeline, in Visual Studio reset the toolbox and the custom pipeline component should appear ready for you to use in your Biztalk Pipeline. Drop the pipeline component into the relevant pipeline stage and configure the component properties (the variables defined in the wizard). You can now deploy and use the pipeline as you would any other custom pipeline.

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Building a Data Mart with Pentaho Data Integration Video Review by Diethard Steiner, Packt Publishing

- by Compudicted

Originally posted on: http://geekswithblogs.net/Compudicted/archive/2014/06/01/building-a-data-mart-with-pentaho-data-integration-video-review.aspx The Building a Data Mart with Pentaho Data Integration Video by Diethard Steiner from Packt Publishing is more than just a course on how to use Pentaho Data Integration, it also implements and uses the principals of the Data Warehousing (and I even heard the name of Ralph Kimball in the video). Indeed, a video watcher should be familiar with its concepts as the Star Schema, Slowly Changing Dimension types, etc. so I suggest prior to watching this course to consider skimming through the Data Warehouse concepts (if unfamiliar) or even better, read the excellent Ralph’s The Data Warehouse Tooolkit. By the way, the author expands beyond using Pentaho along to MySQL and MonetDB which is a real icing on the cake! Indeed, I even suggest the name of the course should be ‘Building a Data Warehouse with Pentaho’. To successfully complete the course one needs to know some Linux (Ubuntu used in the course), the VI editor and the Bash command shell, but it seems that similar requirements would also apply to the Weindows OS. Additionally, knowing some basic SQL would not hurt. As I had said, MonetDB is used in this course several times which seems to be not anymore complex than say MySQL, but based on what I read is very well suited for fast querying big volumes of data thanks to having a columnstore (vertical data storage). I don’t see what else can be a barrier, the material is very digestible. On this note, I must add that the author does not cover how to acquire the software, so here is what I found may help: Pentaho: the free Community Edition must be more than anyone needs to learn it. Or even go into a POC. MonetDB can be downloaded (exists for both, Linux and Windows) from http://goo.gl/FYxMy0 (just see the appropriate link on the left). The author seems to be using Eclipse to run SQL code, one can get it from http://goo.gl/5CcuN. To create, or edit database entities and/or schema otherwise one can use a universal tool called SQuirreL, get it from http://squirrel-sql.sourceforge.net. Next, I must confess Diethard is very knowledgeable in what he does and beyond. However, there will be some accent heard to the user of the course especially if one’s mother tongue language is English, but it I got over it in a few chapters. I liked the rate at which the material is being presented, it makes me feel I paid for every second Eventually, my impressions are: Pentaho is an awesome ETL offering, it is worth learning it very much (I am an ETL fan and a heavy user of SSIS) MonetDB is nice, it tickles my fancy to know it more Data Warehousing, despite all the BigData tool offerings (Hive, Scoop, Pig on Hadoop), using the traditional tools still rocks Chapters 2 to 6 were the most fun to me with chapter 8 being the most difficult. In terms of closing, I highly recommend this video to anyone who needs to grasp Pentaho concepts quick, likewise, the course is very well suited for any developer on a “supposed to be done yesterday” type of a project. It is for a beginner to intermediate level ETL/DW developer. But one would need to learn more on Data Warehousing and Pentaho, for such I recommend the 5 star Pentaho Data Integration 4 Cookbook. Enjoy it! Disclaimer: I received this video from the publisher for the purpose of a public review.

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Building a Data Mart with Pentaho Data Integration Video Review by Diethard Steiner, Packt Publishing

- by Compudicted

Originally posted on: http://geekswithblogs.net/Compudicted/archive/2014/06/01/building-a-data-mart-with-pentaho-data-integration-video-review-again.aspx The Building a Data Mart with Pentaho Data Integration Video by Diethard Steiner from Packt Publishing is more than just a course on how to use Pentaho Data Integration, it also implements and uses the principals of the Data Warehousing (and I even heard the name of Ralph Kimball in the video). Indeed, a video watcher should be familiar with its concepts as the Star Schema, Slowly Changing Dimension types, etc. so I suggest prior to watching this course to consider skimming through the Data Warehouse concepts (if unfamiliar) or even better, read the excellent Ralph’s The Data Warehouse Tooolkit. By the way, the author expands beyond using Pentaho along to MySQL and MonetDB which is a real icing on the cake! Indeed, I even suggest the name of the course should be ‘Building a Data Warehouse with Pentaho’. To successfully complete the course one needs to know some Linux (Ubuntu used in the course), the VI editor and the Bash command shell, but it seems that similar requirements would also apply to the Windows OS. Additionally, knowing some basic SQL would not hurt. As I had said, MonetDB is used in this course several times which seems to be not anymore complex than say MySQL, but based on what I read is very well suited for fast querying big volumes of data thanks to having a columnstore (vertical data storage). I don’t see what else can be a barrier, the material is very digestible. On this note, I must add that the author does not cover how to acquire the software, so here is what I found may help: Pentaho: the free Community Edition must be more than anyone needs to learn it. Or even go into a POC. MonetDB can be downloaded (exists for both, Linux and Windows) from http://goo.gl/FYxMy0 (just see the appropriate link on the left). The author seems to be using Eclipse to run SQL code, one can get it from http://goo.gl/5CcuN. To create, or edit database entities and/or schema otherwise one can use a universal tool called SQuirreL, get it from http://squirrel-sql.sourceforge.net. Next, I must confess Diethard is very knowledgeable in what he does and beyond. However, there will be some accent heard to the user of the course especially if one’s mother tongue language is English, but it I got over it in a few chapters. I liked the rate at which the material is being presented, it makes me feel I paid for every second Eventually, my impressions are: Pentaho is an awesome ETL offering, it is worth learning it very much (I am an ETL fan and a heavy user of SSIS) MonetDB is nice, it tickles my fancy to know it more Data Warehousing, despite all the BigData tool offerings (Hive, Scoop, Pig on Hadoop), using the traditional tools still rocks Chapters 2 to 6 were the most fun to me with chapter 8 being the most difficult. In terms of closing, I highly recommend this video to anyone who needs to grasp Pentaho concepts quick, likewise, the course is very well suited for any developer on a “supposed to be done yesterday” type of a project. It is for a beginner to intermediate level ETL/DW developer. But one would need to learn more on Data Warehousing and Pentaho, for such I recommend the 5 star Pentaho Data Integration 4 Cookbook. Enjoy it! Disclaimer: I received this video from the publisher for the purpose of a public review.

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ATG Live Webcast June 14: Technical Preview of EBS 12.2 Online Patching

- by BillSawyer

Online Patching is is one of the cornerstone new features in our upcoming Oracle E-Business Suite 12.2 release. This ground-breaking feature is based upon Edition-Based Redefinition, a new 11gR2 Database feature that was built to Oracle Applications division specifications to allow the E-Business Suite's database tier to be patched while the environment is running. Online Patching combines the use of Edition-Based Redefinition and new E-Business Suite technologies to allow patching to the E-Business Suite's database and application tier servers while the environment is being actively used by its end-users. This webcast provides a detailed technical preview of: How this new feature works How it affects E-Business Suite end-users How it affects E-Business Suite database administrators and patching lifecycles How it affects developers and third-party software vendors responsible for E-Business Suite customizations and extensions The presenter for this event is Kevin Hudson, Senior Director and one of the Online Patching architects. There will be a special extended Q&A Session at the end of this presentation, given the nature of the materials and the questions that we expect from you. ATG Development staff supporting the Q&A session will include Elke Phelps, Santiago Bastidas, Max Arderius, and other ATG architects. Date: Thursday, June 14, 2012Time: 8:00 AM - 10:00 AM Pacific Standard Time (Special 2-hour Time)Presenter: Kevin Hudson, Senior Director, Applications Technology IntegrationWebcast Registration Link (Preregistration is optional but encouraged) To hear the audio feed: Domestic Participant Dial-In Number: 877-697-8128 International Participant Dial-In Number: 706-634-9568 Dial-In Passcode: 100815To see the presentation: The Direct Access Web Conference details are: Website URL: https://ouweb.webex.com Meeting Number: 597470987If you miss the webcast, or you have missed any webcast, don't worry -- we'll post links to the recording as soon as it's available from Oracle University. You can monitor this blog for pointers to the replay. And, you can find our archive of our past webcasts and training here. When will Oracle E-Business Suite 12.2 be released? Oracle's Revenue Recognition rules prohibit us from discussing certification and release dates, but you're welcome to monitor or subscribe to this blog. We'll post updates here as soon as soon as they're available.

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The EXECUTE permission was denied on the object 'bam_Metadata_GetConfigurationXml'

- by Andy Morrison

We were seeing this exception on two servers when we tried to access the BAM Portal... after having to reconfigure the BAM Portal and Tools for reasons unrelated to the error: --- Log Name: Application Source: Bam Web Service Date: 2/18/2011 10:24:07 AM Event ID: 1534 Task Category: None Level: Error Keywords: Classic User: N/A Computer: yyyyyyyyyyyyyyyyyyyy Description: Current User: yy\yyyyyyyy EXCEPTION: Microsoft.BizTalk.Bam.Management.BamManagerException: Encountered error while executing command on SQL Server "yyyyyyyyyyyyyyy". ---> System.Data.SqlClient.SqlException: The EXECUTE permission was denied on the object 'bam_Metadata_GetConfigurationXml', database 'BAMPrimaryImport', schema 'dbo'. at System.Data.SqlClient.SqlConnection.OnError(SqlException exception, Boolean breakConnection) at System.Data.SqlClient.SqlInternalConnection.OnError(SqlException exception, Boolean breakConnection) at System.Data.SqlClient.TdsParser.ThrowExceptionAndWarning(TdsParserStateObject stateObj) at System.Data.SqlClient.TdsParser.Run(RunBehavior runBehavior, SqlCommand cmdHandler, SqlDataReader dataStream, BulkCopySimpleResultSet bulkCopyHandler, TdsParserStateObject stateObj) at System.Data.SqlClient.SqlDataReader.ConsumeMetaData() at System.Data.SqlClient.SqlDataReader.get_MetaData() at System.Data.SqlClient.SqlCommand.FinishExecuteReader(SqlDataReader ds, RunBehavior runBehavior, String resetOptionsString) at System.Data.SqlClient.SqlCommand.RunExecuteReaderTds(CommandBehavior cmdBehavior, RunBehavior runBehavior, Boolean returnStream, Boolean async) at System.Data.SqlClient.SqlCommand.RunExecuteReader(CommandBehavior cmdBehavior, RunBehavior runBehavior, Boolean returnStream, String method, DbAsyncResult result) at System.Data.SqlClient.SqlCommand.RunExecuteReader(CommandBehavior cmdBehavior, RunBehavior runBehavior, Boolean returnStream, String method) at System.Data.SqlClient.SqlCommand.ExecuteReader(CommandBehavior behavior, String method) at System.Data.SqlClient.SqlCommand.ExecuteReader(CommandBehavior behavior) at Microsoft.BizTalk.Bam.Management.SqlHelper.ExecuteQuery(String cmdText, CommandType cmdType, Transaction transaction) --- End of inner exception stack trace --- at Microsoft.BizTalk.Bam.Management.SqlHelper.ExecuteQuery(String cmdText, CommandType cmdType, Transaction transaction) at Microsoft.BizTalk.Bam.Management.BamConfigurationManager.GetConfigurationXmlFromPrimaryImportDb() at Microsoft.BizTalk.Bam.Management.BamConfigurationManager..ctor(String piServer, String piDatabase, Int32 sqlHelperCmdTimeout, Boolean validateServerNames) at Microsoft.BizTalk.Bam.Management.BamManager..ctor(String primaryImportServer, String primaryImportDatabase, Int32 sqlCmdTimeout, Boolean validateServerNames) at Microsoft.BizTalk.Bam.Management.BamManager..ctor(String primaryImportServer, String primaryImportDatabase) at Microsoft.BizTalk.Bam.WebServices.Utilities.FetchBamManager() at Microsoft.BizTalk.Bam.WebServices.Management.BamManagementService.GetViewSummaryForCurrentUser() EXCEPTION: Microsoft.BizTalk.Bam.Management.BamManagerException: Encountered error while executing command on SQL Server "yyyyyyyyyyyyyyyyyy". ---> System.Data.SqlClient.SqlException: The EXECUTE permission was denied on the object 'bam_Metadata_GetConfigurationXml', database 'BAMPrimaryImport', schema 'dbo'. at System.Data.SqlClient.SqlConnection.OnError(SqlException exception, Boolean breakConnection) at System.Data.SqlClient.SqlInternalConnection.OnError(SqlException exception, Boolean breakConnection) at System.Data.SqlClient.TdsParser.ThrowExceptionAndWarning(TdsParserStateObject stateObj) at System.Data.SqlClient.TdsParser.Run(RunBehavior runBehavior, SqlCommand cmdHandler, SqlDataReader dataStream, BulkCopySimpleResultSet bulkCopyHandler, TdsParserStateObject stateObj) at System.Data.SqlClient.SqlDataReader.ConsumeMetaData() at System.Data.SqlClient.SqlDataReader.get_MetaData() at System.Data.SqlClient.SqlCommand.FinishExecuteReader(SqlDataReader ds, RunBehavior runBehavior, String resetOptionsString) at System.Data.SqlClient.SqlCommand.RunExecuteReaderTds(CommandBehavior cmdBehavior, RunBehavior runBehavior, Boolean returnStream, Boolean async) at System.Data.SqlClient.SqlCommand.RunExecuteReader(CommandBehavior cmdBehavior, RunBehavior runBehavior, Boolean returnStream, String method, DbAsyncResult result) at System.Data.SqlClient.SqlCommand.RunExecuteReader(CommandBehavior cmdBehavior, RunBehavior runBehavior, Boolean returnStream, String method) at System.Data.SqlClient.SqlCommand.ExecuteReader(CommandBehavior behavior, String method) at System.Data.SqlClient.SqlCommand.ExecuteReader(CommandBehavior behavior) at Microsoft.BizTalk.Bam.Management.SqlHelper.ExecuteQuery(String cmdText, CommandType cmdType, Transaction transaction) --- End of inner exception stack trace --- at Microsoft.BizTalk.Bam.Management.SqlHelper.ExecuteQuery(String cmdText, CommandType cmdType, Transaction transaction) at Microsoft.BizTalk.Bam.Management.BamConfigurationManager.GetConfigurationXmlFromPrimaryImportDb() at Microsoft.BizTalk.Bam.Management.BamConfigurationManager..ctor(String piServer, String piDatabase, Int32 sqlHelperCmdTimeout, Boolean validateServerNames) at Microsoft.BizTalk.Bam.Management.BamManager..ctor(String primaryImportServer, String primaryImportDatabase, Int32 sqlCmdTimeout, Boolean validateServerNames) at Microsoft.BizTalk.Bam.Management.BamManager..ctor(String primaryImportServer, String primaryImportDatabase) at Microsoft.BizTalk.Bam.WebServices.Utilities.FetchBamManager() at Microsoft.BizTalk.Bam.WebServices.Management.BamManagementService.GetViewSummaryForCurrentUser() --- We reconfigured the BAM Portal and Tools multiple times, trying to fix this issue, but kept getting the exception. The fix was to add the BizTalk Server Administrators and BizTalk Application Users to the BAM_ManagementWS role in the BAMPrimaryImport database. (Note that these two groups do not appear to be added to this role in a "clean" configuration. Thanks go to Ed at http://talentedmonkeys.wordpress.com/ for figuring out a solution.

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Implementing a modern web application with Web API on top of old services

- by Gaui

My company has many WCF services which may or may not be replaced in the near future. The old web application is written in WebForms and communicates straight with these services via SOAP and returns DataTables. Now I am designing a new modern web application in a modern style, an AngularJS client which communicates with an ASP.NET Web API via JSON. The Web API then communicates with the WCF services via SOAP. In the future I want to let the Web API handle all requests and go straight to the database, but because the business logic implemented in the WCF services is complicated it's going to take some time to rewrite and replace it. Now to the problem: I'm trying to make it easy in the near future to replace the WCF services with some other data storage, e.g. another endpoint, database or whatever. I also want to make it easy to unit test the business logic. That's why I have structured the Web API with a repository layer and a service layer. The repository layer has a straight communication with the data storage (WCF service, database, or whatever) and the service layer then uses the repository (Dependency Injection) to get the data. It doesn't care where it gets the data from. Later on I can be in control and structure the data returned from the data storage (DataTable to POCO) and be able to test the logic in the service layer with some mock repository (using Dependency Injection). Below is some code to explain where I'm going with this. But my question is, does this all make sense? Am I making this overly complicated and could this be simplified in any way possible? Does this simplicity make this too complicated to maintain? My main goal is to make it as easy as possible to switch to another data storage later on, e.g. an ORM and be able to test the logic in the service layer. And because the majority of the business logic is implemented in these WCF services (and they return DataTables), I want to be in control of the data and the structure returned to the client. Any advice is greatly appreciated. Update 20/08/14 I created a repository factory, so services would all share repositories. Now it's easy to mock a repository, add it to the factory and create a provider using that factory. Any advice is much appreciated. I want to know if I'm making things more complicated than they should be. So it looks like this: 1. Repository Factory public class RepositoryFactory { private Dictionary<Type, IServiceRepository> repositories; public RepositoryFactory() { this.repositories = new Dictionary<Type, IServiceRepository>(); } public void AddRepository<T>(IServiceRepository repo) where T : class { if (this.repositories.ContainsKey(typeof(T))) { this.repositories.Remove(typeof(T)); } this.repositories.Add(typeof(T), repo); } public dynamic GetRepository<T>() { if (this.repositories.ContainsKey(typeof(T))) { return this.repositories[typeof(T)]; } throw new RepositoryNotFoundException("No repository found for " + typeof(T).Name); } } I'm not very fond of dynamic but I don't know how to retrieve that repository otherwise. 2. Repository and service // Service repository interface // All repository interfaces extend this public interface IServiceRepository { } // Invoice repository interface // Makes it easy to mock the repository later on public interface IInvoiceServiceRepository : IServiceRepository { List<Invoice> GetInvoices(); } // Invoice repository // Connects to some data storage to retrieve invoices public class InvoiceServiceRepository : IInvoiceServiceRepository { public List<Invoice> GetInvoices() { // Get the invoices from somewhere // This could be a WCF, a database, or whatever using(InvoiceServiceClient proxy = new InvoiceServiceClient()) { return proxy.GetInvoices(); } } } // Invoice service // Service that handles talking to a real or a mock repository public class InvoiceService { // Repository factory RepositoryFactory repoFactory; // Default constructor // Default connects to the real repository public InvoiceService(RepositoryFactory repo) { repoFactory = repo; } // Service function that gets all invoices from some repository (mock or real) public List<Invoice> GetInvoices() { // Query the repository return repoFactory.GetRepository<IInvoiceServiceRepository>().GetInvoices(); } }

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Bitmask data insertions in SSDT Post-Deployment scripts

- by jamiet

On my current project we are using SQL Server Data Tools (SSDT) to manage our database schema and one of the tasks we need to do often is insert data into that schema once deployed; the typical method employed to do this is to leverage Post-Deployment scripts and that is exactly what we are doing. Our requirement is a little different though, our data is split up into various buckets that we need to selectively deploy on a case-by-case basis. I was going to use a SQLCMD variable for each bucket (defaulted to some value other than “Yes”) to define whether it should be deployed or not so we could use something like this in our Post-Deployment script: IF ($(DeployBucket1Flag) = 'Yes')BEGIN :r .\Bucket1.data.sqlENDIF ($(DeployBucket2Flag) = 'Yes')BEGIN :r .\Bucket2.data.sqlENDIF ($(DeployBucket3Flag) = 'Yes')BEGIN :r .\Bucket3.data.sqlEND That works fine and is, I’m sure, a very common technique for doing this. It is however slightly ugly because we have to litter our deployment with various SQLCMD variables. My colleague James Rowland-Jones (whom I’m sure many of you know) suggested another technique – bitmasks. I won’t go into detail about how this works (James has already done that at Using a Bitmask - a practical example) but I’ll summarise by saying that you can deploy different combinations of the buckets simply by supplying a different numerical value for a single SQLCMD variable. Each bit of that value’s binary representation signifies whether a particular bucket should be deployed or not. This is better demonstrated using the following simple script (which can be easily leveraged inside your Post-Deployment scripts): /* $(DeployData) is a SQLCMD variable that would, if you were using this in SSDT, be declared in the SQLCMD variables section of your project file. It should contain a numerical value, defaulted to 0. In this example I have declared it using a :setvar statement. Test the affect of different values by changing the :setvar statement accordingly. Examples: :setvar DeployData 1 will deploy bucket 1 :setvar DeployData 2 will deploy bucket 2 :setvar DeployData 3 will deploy buckets 1 & 2 :setvar DeployData 6 will deploy buckets 2 & 3 :setvar DeployData 31 will deploy buckets 1, 2, 3, 4 & 5 */ :setvar DeployData 0 DECLARE @bitmask VARBINARY(MAX) = CONVERT(VARBINARY,$(DeployData)); IF (@bitmask & 1 = 1) BEGIN PRINT 'Bucket 1 insertions'; END IF (@bitmask & 2 = 2) BEGIN PRINT 'Bucket 2 insertions'; END IF (@bitmask & 4 = 4) BEGIN PRINT 'Bucket 3 insertions'; END IF (@bitmask & 8 = 8) BEGIN PRINT 'Bucket 4 insertions'; END IF (@bitmask & 16 = 16) BEGIN PRINT 'Bucket 5 insertions'; END An example of running this using DeployData=6 The binary representation of 6 is 110. The second and third significant bits of that binary number are set to 1 and hence buckets 2 and 3 are “activated”. Hope that makes sense and is useful to some of you! @Jamiet P.S. I used the awesome HTML Copy feature of Visual Studio’s Productivity Power Tools in order to format the T-SQL code above for this blog post.

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What Counts For a DBA – Decisions

- by Louis Davidson

It’s Friday afternoon, and the lead DBA, a very talented guy, is getting ready to head out for two well-earned weeks of vacation, with his family, when this error message pops up in his inbox: Msg 211, Level 23, State 51, Line 1. Possible schema corruption. Run DBCC CHECKCATALOG. His heart sinks. It’s ten…no eight…minutes till it’s time to walk out the door. He glances around at his coworkers, competent to handle many problems, but probably not up to the challenge of fixing possible database corruption. What does he do? After a few agonizing moments of indecision, he clicks shut his laptop. He’ll just wait and see. It was unlikely to come to anything; after all, it did say “possible” schema corruption, not definite. In that moment, his fate was sealed. The start of the solution to the problem (run DBCC CHECKCATALOG) had been right there in the error message. Had he done this, or at least took two of those eight minutes to delegate the task to a coworker, then he wouldn’t have ended up spending two-thirds of an idyllic vacation (for the rest of the family, at least) dealing with a problem that got consistently worse as the weekend progressed until the entire system was down. When I told this story to a friend of mine, an opera fan, he smiled and said it described the basic plotline of almost every opera or ‘Greek Tragedy’ ever written. The particular joy in opera, he told me, isn’t the warbly voiced leading ladies, or the plump middle-aged romantic leads, or even the music. No, what packs the opera houses in Italy is the drama of characters who, by the very nature of their life-experiences and emotional baggage, make all sorts of bad choices when faced with ordinary decisions, and so move inexorably to their fate. The audience is gripped by the spectacle of exotic characters doomed by their inability to see the obvious. I confess, my personal experience with opera is limited to Bugs Bunny in “What’s Opera, Doc?” (Elmer Fudd is a great example of a bad decision maker, if ever one existed), but I was struck by my friend’s analogy. If all the DBA cubicles were a stage, I think we would hear many similarly tragic tales, played out to music: “Error handling? We write our code to never experience errors, so nah…“ “Backups failed today, but it’s okay, we’ll back up tomorrow (we’ll back up tomorrow)“ And similarly, they would leave their audience gasping, not necessarily at the beauty of the music, or poetry of the lyrics, but at the inevitable, grisly fate of the protagonists. If you choose not to use proper error handling, or if you choose to skip a backup because, hey, you haven’t had a server crash in 10 years, then inevitably, in that moment you expected to be enjoying a vacation, or a football game, with your family and friends, you will instead be sitting in front of a computer screen, paying for your poor choices. Tragedies are very much part of IT. Most of a DBA’s day to day work has limited potential to wreak havoc; paperwork, timesheets, random anonymous threats to developers, routine maintenance and whatnot. However, just occasionally, you, as a DBA, will face one of those decisions that really matter, and which has the possibility to greatly affect your future and the future of your user’s data. Make those decisions count, and you’ll avoid the tragic fate of many an operatic hero or villain.

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SQL SERVER – Select the Most Optimal Backup Methods for Server

- by pinaldave

Backup and Restore are very interesting concepts and one should be very much with the concept if you are dealing with production database. One never knows when a natural disaster or user error will surface and the first thing everybody wants is to get back on point in time when things were all fine. Well, in this article I have attempted to answer a few of the common questions related to Backup methodology. How to Select a SQL Server Backup Type In order to select a proper SQL Server backup type, a SQL Server administrator needs to understand the difference between the major backup types clearly. Since a picture is worth a thousand words, let me offer it to you below. Select a Recovery Model First The very first question that you should ask yourself is: Can I afford to lose at least a little (15 min, 1 hour, 1 day) worth of data? Resist the temptation to save it all as it comes with the overhead – majority of businesses outside finances can actually afford to lose a bit of data. If your answer is YES, I can afford to lose some data – select a SIMPLE (default) recovery model in the properties of your database, otherwise you need to select a FULL recovery model. The additional advantage of the Full recovery model is that it allows you to restore the data to a specific point in time vs to only last backup time in the Simple recovery model, but it exceeds the scope of this article Backups in SIMPLE Recovery Model In SIMPLE recovery model you can select to do just Full backups or Full + Differential. Full Backup This is the simplest type of backup that contains all information needed to restore the database and should be your first choice. It is often sufficient for small databases, but note that it makes a big impact on the performance of your database Full + Differential Backup After Full, Differential backup picks up all of the changes since the last Full backup. This means if you made Full, Diff, Diff backup – the last Diff backup contains all of the changes and you don’t need the previous Differential backup. Differential backup is obviously smaller and carries less performance overhead Backups in FULL Recovery Model In FULL recovery model you can select Full + Transaction Log or Full + Differential + Transaction Log backup. You have to create Transaction Log backup, because at that time the log is being truncated. Otherwise your Transaction Log will grow uncontrollably. Full + Transaction Log Backup You would always need to perform a Full backup first. Then a series of Transaction log backup. Note that (in contrast to Differential) you need ALL transactions to log since the last Full of Diff backup to properly restore. Transaction log backups have the smallest performance overhead and can be performed often. Full + Differential + Transaction Log Backup If you want to ease the performance overhead on your server, you can replace some of the Full backup in the previous scenario with Differential. You restore scenario would start from Full, then the Last Differential, then all of the remaining transactions log backups Typical backup Scenarios You may say “Well, it is all nice – give me the examples now”. As you may already know, my favorite SQL backup software is SQLBackupAndFTP. If you go to Advanced Backup Schedule form in this program and click “Load a typical backup plan…” link, it will give you these scenarios that I think are quite common – see the image below. The Simplest Way to Schedule SQL Backups I hate to repeat myself, but backup scheduling in SQL agent leaves a lot to be desired. I do not know the simple way to schedule your SQL server backups than in SQLBackupAndFTP – see the image below. The whole backup scheduling with compression, encryption and upload to a Network Folder / HDD / NAS Drive / FTP / Dropbox / Google Drive / Amazon S3 takes just a few minutes – see my previous post for the review. Final Words This post offered an explanation for major backup types only. For more complicated scenarios or to research other options as usually go to MSDN. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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MaxTotalSizeInBytes - Blind spots in Usage file and Web Analytics Reports

- by Gino Abraham

Originally posted on: http://geekswithblogs.net/GinoAbraham/archive/2013/10/28/maxtotalsizeinbytes---blind-spots-in-usage-file-and-web-analytics.aspx http://blogs.msdn.com/b/sharepoint_strategery/archive/2012/04/16/usage-file-and-web-analytics-reports-with-blind-spots.aspx In my previous post (Troubleshooting SharePoint 2010 Web Analytics), I referenced a problem that can occur when exceeding the daily partition size for the LoggingDB, which generates the ULS message “[Partition] has exceeded the max bytes”. Below, I wanted to provide some additional info on this particular issue and help identify some options if this occurs. As an aside, this post only applies if you are missing portions of Usage data - think blind spots on intermittent days or user activity regularly sparse for the afternoon/evening. If this fits your scenario - read on. But if Usage logs are outright missing, go check out my Troubleshooting post first. Background on the problem:The LoggingDB database has a default maximum size of ~6GB. However, SharePoint evenly splits this total size into fixed sized logical partitions – and the number of partitions is defined by the number of days to retain Usage data (by default 14 days). In this case, 14 partitions would be created to account for the 14 days of retention. If the retention were halved to 7 days, the LoggingDBwould be split into 7 corresponding partitions at twice the size. In other words, the partition size is generally defined as [max size for DB] / [number of retention days].Going back to the default scenario, the “max size” for the LoggingDB is 6200000000 bytes (~6GB) and the retention period is 14 days. Using our formula, this would be [~6GB] / [14 days], which equates to 444858368 bytes (~425MB) per partition per day. Again, if the retention were halved to 7 days (which halves the number of partitions), the resulting partition size becomes [~6GB] / [7 days], or ~850MB per partition.From my experience, when the partition size for any given day is exceeded, the usage logging for the remainder of the day is essentially thrown away because SharePoint won’t allow any more to be written to that day’s partition. The only clue that this is occurring (beyond truncated usage data) is an error such as the following that gets reported in the ULS:04/08/2012 09:30:04.78 OWSTIMER.EXE (0x1E24) 0x2C98 SharePoint Foundation Health i0m6 High Table RequestUsage_Partition12 has 444858368 bytes that has exceeded the max bytes 444858368It’s also worth noting that the exact bytes reported (e.g. ‘444858368’ above) may slightly vary among farms. For example, you may instead see 445226812, 439123456, or something else in the ballpark. The exact number itself doesn't matter, but this error message intends to indicates that the reporting usage has exceeded the partition size for the given day.What it means:The error itself is easy to miss, which can lead to substantial gaps in the reporting data (your mileage may vary) if not identified. At this point, I can only advise to periodically check the ULS logs for this message. Down the road, I plan to explore if [Developing a Custom Health Rule] could be leveraged to identify the issue (If you've ever built Custom Health Rules, I'd be interested to hear about your experiences). Overcoming this issue also poses a challenge, with workaround options including:Lower the retentionBecause the partition size is generally defined as [max size] / [number of retention days], the first option is to lower the number of days to retain the data – the lower the retention, the lower the divisor and thus a bigger partition. For example, halving the retention from 14 to 7 days would halve the number of partitions, but double the partition size to ~850MB (e.g. [6200000000 bytes] / [7 days] = ~850GB partitions). Lowering it to 2 days would result in two ~3GB partitions… and so on.Recreate the LoggingDB with an increased sizeThe property MaxTotalSizeInBytes is exposed by OM code for the SPUsageDefinition object and can be updated with the example PowerShell snippet below. However, updating this value has no immediate impact because this size only applies when creating a LoggingDB. Therefore, you must create a newLoggingDB for the Usage Service Application. The gotcha: this effectively deletes all prior Usage databecause the Usage Service Application can only have a single LoggingDB.Here is an example snippet to update the "Page Requests" Usage Definition:$def=Get-SPUsageDefinition -Identity "page requests" $def.MaxTotalSizeInBytes=12400000000 $def.update()Create a new Logging database and attach to the Usage Service Application using the following command: Get-spusageapplication | Set-SPUsageApplication -DatabaseServer <dbServer> -DatabaseName <newDBname> Updated (5/10/2012): Once the new database has been created, you can confirm the setting has truly taken by running the following SQL Query (be sure to replace the database name in the following query with the name provided in the PowerShell above)SELECT * FROM [WSS_UsageApplication].[dbo].[Configuration] WITH (nolock) WHERE ConfigName LIKE 'Max Total Bytes - RequestUsage'

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Best of OTN - Week of Oct 21st

- by CassandraClark-OTN

This week's Best of OTN, for you, the best devs, dba's, sysadmins and architects out there! In these weekly posts the OTN team will highlight the top content from each community; Architect, Database, Systems and Java. Since we'll be publishing this on Fridays, we'll also mix in a little fun! Architect Community Top Content- The Road Ahead for WebLogic 12c | Edwin BiemondOracle ACE Edwin Biemond shares his thoughts on announced new features in Oracle WebLogic 12.1.3 & 12.1.4 and compares those upcoming releases to Oracle WebLogic 12.1.2. A Roadmap for SOA Development and Delivery | Mark NelsonDo you know the way to S-O-A? Mark Nelson does. His latest blog post, part of an ongoing series, will help to keep you from getting lost along the way. Updated ODI Statement of Direction | Robert SchweighardtHeads up Oracle Data Integrator fans! A new statement of product direction document is available, offering an overview of the strategic product plans for Oracle’s data integration products for bulk data movement and transformation, specifically Oracle Data Integrator (ODI) and Oracle Warehouse Builder (OWB). Bob Rhubart, Architect Community Manager Friday Funny - "Some people approach every problem with an open mouth." — Adlai E. Stevenson (October 23, 1835 – June 14, 1914) 23rd Vice President of the United States Database Community Top Content - Pre-Built Developer VMs (for Oracle VM VirtualBox)Heard all the chatter about Oracle VirtualBox? Over 1 million downloads per week and look: pre-built virtual appliances designed specifically for developers. Video: Big Data, or BIG DATA?Oracle Ace Director Ben Prusinski explains the differences.?? Webcast Series - Developing Applications in Oracle's Public CloudTime to get started on developing and deploying cloud applications by moving to the cloud. Good friend Gene Eun from Oracle's Cloud team posted this two-part Webcast series that has an overview and demonstration of the Oracle Database Cloud Service. Check out the demos on how to migrate your data to the cloud, extend your application with interactive reporting, and create and access RESTful Web services. Registration required, but so worth it! Laura Ramsey, Database Community Manager Friday Funny - Systems Community Top Content - Video: What Kind of Scalability is Better, Horizontal or Vertical?Rick Ramsey asks the question "Is Oracle's approach to large vertically scaled servers at odds with today's trend of combining lots and lots of small, low-cost servers systems with networking to build a cloud, or is it a better approach?" Michael Palmeter, Director of Solaris Product Management, and Renato Ribeiro, Director Product Management for SPARC Servers, discuss.Video: An Engineer Takes a Minute to Explain CloudBart Smaalders, long-time Oracle Solaris core engineer, takes a minute to explain cloud from a sysadmin point of view. ?Hands-On Lab: How to Deploy and Manage a Private IaaS Cloud Soup to nuts. This lab shows you how to set up and manage a private cloud with Oracle Enterprise Manager Cloud Control 12c in an Infrastructure as a service (IaaS) model. You will first configure the IaaS cloud as the cloud administrator and then deploy guest virtual machines (VMs) as a self-service user. Rick Ramsey, Systems Community Manager Friday Funny - Video: Drunk Airline Pilot - Dean Martin - Foster Brooks Java Community Top Content - Video: NightHacking Interview with James GoslingJames Gosling, the Father of Java, discusses robotics, Java and how to keep his autonomous WaveGliders in the ocean for weeks at a time. Live from Hawaii. Video: Raspberry Pi Developer Challenge: Remote Controller A developer who knew nothing about Java Embedded or Raspberry Pi shows how he can now control a robot with his phone. The project was built during the Java Embedded Challenge for Raspberry Pi at JavaOne 2013.Java EE 7 Certification Survey - Participants NeededHelp us define how to server your training and certification needs for Java EE 7. Tori Wieldt, Java Community Manager Friday Funny - Programmers have a strong sensitivity to Yak's pheromone. Causes irresistible desire to shave said Yak. Thanks, @rickasaurus! To follow and take part in the conversation follow/like etc. at one or all of the resources below - OTN TechBlog The Java Source Blog The OTN Garage Blog The OTN ArchBeat Blog @oracletechnet @java @OTN_Garage @OTNArchBeat @OracleDBDev OTN I Love Java OTN Garage OTN ArchBeat Oracle DB Dev OTN Java

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SQL Constraints – CHECK and NOCHECK

- by David Turner

One performance issue i faced at a recent project was with the way that our constraints were being managed, we were using Subsonic as our ORM, and it has a useful tool for generating your ORM code called SubStage – once configured, you can regenerate your DAL code easily based on your database schema, and it can even be integrated into your build as a pre-build event if you want to do this. SubStage also offers the useful feature of being able to generate DDL scripts for your entire database, and can script your data for you too. The problem came when we decided to use the generate scripts feature to migrate the database onto a test database instance – it turns out that the DDL scripts that it generates include the WITH NOCHECK option, so when we executed them on the test instance, and performed some testing, we found that performance wasn’t as expected. A constraint can be disabled, enabled but not trusted, or enabled and trusted. When it is disabled, data can be inserted that violates the constraint because it is not being enforced, this is useful for bulk load scenarios where performance is important. So what does it mean to say that a constraint is trusted or not trusted? Well this refers to the SQL Server Query Optimizer, and whether it trusts that the constraint is valid. If it trusts the constraint then it doesn’t check it is valid when executing a query, so the query can be executed much faster. Here is an example base in this article on TechNet, here we create two tables with a Foreign Key constraint between them, and add a single row to each. We then query the tables: 1 DROP TABLE t2 2 DROP TABLE t1 3 GO 4 5 CREATE TABLE t1(col1 int NOT NULL PRIMARY KEY) 6 CREATE TABLE t2(col1 int NOT NULL) 7 8 ALTER TABLE t2 WITH CHECK ADD CONSTRAINT fk_t2_t1 FOREIGN KEY(col1) 9 REFERENCES t1(col1) 10 11 INSERT INTO t1 VALUES(1) 12 INSERT INTO t2 VALUES(1) 13 GO14 15 SELECT COUNT(*) FROM t2 16 WHERE EXISTS17 (SELECT *18 FROM t1 19 WHERE t1.col1 = t2.col1) This all works fine, and in this scenario the constraint is enabled and trusted. We can verify this by executing the following SQL to query the ‘is_disabled’ and ‘is_not_trusted’ properties: 1 select name, is_disabled, is_not_trusted from sys.foreign_keys This gives the following result: We can disable the constraint using this SQL: 1 alter table t2 NOCHECK CONSTRAINT fk_t2_t1 And when we query the constraints again, we see that the constraint is disabled and not trusted: So the constraint won’t be enforced and we can insert data into the table t2 that doesn’t match the data in t1, but we don’t want to do this, so we can enable the constraint again using this SQL: 1 alter table t2 CHECK CONSTRAINT fk_t2_t1 But when we query the constraints again, we see that the constraint is enabled, but it is still not trusted: This means that the optimizer will check the constraint each time a query is executed over it, which will impact the performance of the query, and this is definitely not what we want, so we need to make the constraint trusted by the optimizer again. First we should check that our constraints haven’t been violated, which we can do by running DBCC: 1 DBCC CHECKCONSTRAINTS (t2) Hopefully you see the following message indicating that DBCC completed without finding any violations of your constraint: Having verified that the constraint was not violated while it was disabled, we can simply execute the following SQL: 1 alter table t2 WITH CHECK CHECK CONSTRAINT fk_t2_t1 At first glance this looks like it must be a typo to have the keyword CHECK repeated twice in succession, but it is the correct syntax and when we query the constraints properties, we find that it is now trusted again: To fix our specific problem, we created a script that checked all constraints on our tables, using the following syntax: 1 ALTER TABLE t2 WITH CHECK CHECK CONSTRAINT ALL

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