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• What is causing the unusual high load average?

  - by James

  I noticed on Tuesday night of last week, the load average went up sharply and it seemed abnormal since the traffic is small. Usually, the numbers usually average around .40 or lower and my server stuff (mysql, php and apache) are optimized. I noticed that the IOWait is unusually high even though the processes is barely using any CPU. top - 01:44:39 up 1 day, 21:13, 1 user, load average: 1.41, 1.09, 0.86 Tasks: 60 total, 1 running, 59 sleeping, 0 stopped, 0 zombie Cpu0 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu1 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu2 : 0.0%us, 0.3%sy, 0.0%ni, 99.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu3 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu4 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu5 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu6 : 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu7 : 0.0%us, 0.0%sy, 0.0%ni, 91.5%id, 8.5%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 331944k used, 716632k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 15 0 2468 1376 1140 S 0 0.1 0:00.92 init 1656 root 15 0 13652 5212 664 S 0 0.5 0:00.00 apache2 9323 root 18 0 13652 5212 664 S 0 0.5 0:00.00 apache2 10079 root 18 0 3972 1248 972 S 0 0.1 0:00.00 su 10080 root 15 0 4612 1956 1448 S 0 0.2 0:00.01 bash 11298 root 15 0 13652 5212 664 S 0 0.5 0:00.00 apache2 11778 chikorit 15 0 2344 1092 884 S 0 0.1 0:00.05 top 15384 root 18 0 17544 13m 1568 S 0 1.3 0:02.28 miniserv.pl 15585 root 15 0 8280 2736 2168 S 0 0.3 0:00.02 sshd 15608 chikorit 15 0 8280 1436 860 S 0 0.1 0:00.02 sshd Here is the VMStat procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 1 0 0 768644 0 0 0 0 14 23 0 10 1 0 99 0 IOStat - Nothing unusal Total DISK READ: 67.13 K/s | Total DISK WRITE: 0.00 B/s TID PRIO USER DISK READ DISK WRITE SWAPIN IO COMMAND 19496 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19501 be/4 mysql 3.95 K/s 0.00 B/s 0.00 % 0.00 % mysqld 19568 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19569 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19570 be/4 chikorit 11.85 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19571 be/4 chikorit 7.90 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 19573 be/4 chikorit 7.90 K/s 0.00 B/s 0.00 % 0.00 % apache2 -k start 1 be/4 root 0.00 B/s 0.00 B/s 0.00 % 0.00 % init 11778 be/4 chikorit 0.00 B/s 0.00 B/s 0.00 % 0.00 % top 19470 be/4 mysql 0.00 B/s 0.00 B/s 0.00 % 0.00 % mysqld Load Average Chart - http://i.stack.imgur.com/kYsD0.png I want to be sure if this is not a MySQL problem before making sure. Also, this is a Ubuntu 10.04 LTS Server on OpenVZ. Edit: This will probably give a good picture on the IO Wait top - 22:12:22 up 17:41, 1 user, load average: 1.10, 1.09, 0.93 Tasks: 33 total, 1 running, 32 sleeping, 0 stopped, 0 zombie Cpu(s): 0.6%us, 0.2%sy, 0.0%ni, 89.0%id, 10.1%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 260708k used, 787868k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 15 0 2468 1376 1140 S 0 0.1 0:00.88 init 5849 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 8063 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 9732 root 16 0 8280 2728 2168 S 0 0.3 0:00.02 sshd 9746 chikorit 18 0 8412 1444 864 S 0 0.1 0:01.10 sshd 9747 chikorit 18 0 4576 1960 1488 S 0 0.2 0:00.24 bash 13706 chikorit 15 0 2344 1088 884 R 0 0.1 0:00.03 top 15745 chikorit 15 0 12968 5108 1280 S 0 0.5 0:00.00 apache2 15751 chikorit 15 0 72184 25m 18m S 0 2.5 0:00.37 php5-fpm 15790 chikorit 18 0 12472 4640 1192 S 0 0.4 0:00.00 apache2 15797 chikorit 15 0 72888 23m 16m S 0 2.3 0:00.06 php5-fpm 16038 root 15 0 67772 2848 592 D 0 0.3 0:00.00 php5-fpm 16309 syslog 18 0 24084 1316 992 S 0 0.1 0:00.07 rsyslogd 16316 root 15 0 5472 908 500 S 0 0.1 0:00.00 sshd 16326 root 15 0 2304 908 712 S 0 0.1 0:00.02 cron 17464 root 15 0 10252 7560 856 D 0 0.7 0:01.88 psad 17466 root 18 0 1684 276 208 S 0 0.0 0:00.31 psadwatchd 17559 root 18 0 11444 2020 732 S 0 0.2 0:00.47 sendmail-mta 17688 root 15 0 10252 5388 1136 S 0 0.5 0:03.81 python 17752 teamspea 19 0 44648 7308 4676 S 0 0.7 1:09.70 ts3server_linux 18098 root 15 0 12336 6380 3032 S 0 0.6 0:00.47 apache2 18099 chikorit 18 0 10368 2536 464 S 0 0.2 0:00.00 apache2 18120 ntp 15 0 4336 1316 984 S 0 0.1 0:00.87 ntpd 18379 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 18387 mysql 15 0 62796 36m 5864 S 0 3.6 1:43.26 mysqld 19584 root 15 0 12336 4028 668 S 0 0.4 0:00.02 apache2 22498 root 16 0 12336 4028 668 S 0 0.4 0:00.00 apache2 24260 root 15 0 67772 3612 1356 S 0 0.3 0:00.22 php5-fpm 27712 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 27730 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 30343 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 30366 root 15 0 12336 4028 668 S 0 0.4 0:00.00 apache2 This is the free ram as of today. total used free shared buffers cached Mem: 1024 302 721 0 0 0 -/+ buffers/cache: 302 721 Swap: 0 0 0 Update: Looking into the logs, particularly the PHP5-FPM, which is causing the CPU spike. I found that its segment faulting for some apparent reason. [03-Jun-2012 06:11:20] NOTICE: [pool www] child 14132 started [03-Jun-2012 06:11:25] WARNING: [pool www] child 13664 exited on signal 11 (SIGSEGV) after 53.686322 seconds from start [03-Jun-2012 06:11:25] NOTICE: [pool www] child 14328 started [03-Jun-2012 06:11:25] WARNING: [pool www] child 14132 exited on signal 11 (SIGSEGV) after 4.708681 seconds from start [03-Jun-2012 06:11:25] NOTICE: [pool www] child 14329 started [03-Jun-2012 06:11:58] WARNING: [pool www] child 14328 exited on signal 11 (SIGSEGV) after 32.981228 seconds from start [03-Jun-2012 06:11:58] NOTICE: [pool www] child 15745 started [03-Jun-2012 06:12:25] WARNING: [pool www] child 15745 exited on signal 11 (SIGSEGV) after 27.442864 seconds from start [03-Jun-2012 06:12:25] NOTICE: [pool www] child 17446 started [03-Jun-2012 06:12:25] WARNING: [pool www] child 14329 exited on signal 11 (SIGSEGV) after 60.411278 seconds from start [03-Jun-2012 06:12:25] NOTICE: [pool www] child 17447 started [03-Jun-2012 06:13:02] WARNING: [pool www] child 17446 exited on signal 11 (SIGSEGV) after 36.746793 seconds from start [03-Jun-2012 06:13:02] NOTICE: [pool www] child 18133 started [03-Jun-2012 06:13:48] WARNING: [pool www] child 17447 exited on signal 11 (SIGSEGV) after 82.710107 seconds from start I'm thinking that this might be causing the problem. If that is the cause, probably switching it off that to fastcgi/fcgid might resolve it... but still, I want to see if something else might be causing it to do this.

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• Hibernate unable to instantiate default tuplizer - cannot find getter

  - by ZeldaPinwheel

  I'm trying to use Hibernate to persist a class that looks like this: public class Item implements Serializable, Comparable<Item> { // Item id private Integer id; // Description of item in inventory private String description; // Number of items described by this inventory item private int count; //Category item belongs to private String category; // Date item was purchased private GregorianCalendar purchaseDate; public Item() { } public Integer getId() { return id; } public void setId(Integer id) { this.id = id; } public String getDescription() { return description; } public void setDescription(String description) { this.description = description; } public int getCount() { return count; } public void setCount(int count) { this.count = count; } public String getCategory() { return category; } public void setCategory(String category) { this.category = category; } public GregorianCalendar getPurchaseDate() { return purchaseDate; } public void setPurchasedate(GregorianCalendar purchaseDate) { this.purchaseDate = purchaseDate; } My Hibernate mapping file contains the following: <property name="puchaseDate" type="java.util.GregorianCalendar"> <column name="purchase_date"></column> </property> When I try to run, I get error messages indicating there is no getter function for the purchaseDate attribute: 577 [main] INFO org.hibernate.connection.DriverManagerConnectionProvider - Using Hibernate built-in connection pool (not for production use!) 577 [main] INFO org.hibernate.connection.DriverManagerConnectionProvider - Hibernate connection pool size: 20 577 [main] INFO org.hibernate.connection.DriverManagerConnectionProvider - autocommit mode: false 592 [main] INFO org.hibernate.connection.DriverManagerConnectionProvider - using driver: com.mysql.jdbc.Driver at URL: jdbc:mysql://localhost:3306/home_inventory 592 [main] INFO org.hibernate.connection.DriverManagerConnectionProvider - connection properties: {user=root, password=****} 1078 [main] INFO org.hibernate.cfg.SettingsFactory - RDBMS: MySQL, version: 5.1.45 1078 [main] INFO org.hibernate.cfg.SettingsFactory - JDBC driver: MySQL-AB JDBC Driver, version: mysql-connector-java-5.1.12 ( Revision: ${bzr.revision-id} ) 1103 [main] INFO org.hibernate.dialect.Dialect - Using dialect: org.hibernate.dialect.MySQLDialect 1107 [main] INFO org.hibernate.engine.jdbc.JdbcSupportLoader - Disabling contextual LOB creation as JDBC driver reported JDBC version [3] less than 4 1109 [main] INFO org.hibernate.transaction.TransactionFactoryFactory - Using default transaction strategy (direct JDBC transactions) 1110 [main] INFO org.hibernate.transaction.TransactionManagerLookupFactory - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) 1110 [main] INFO org.hibernate.cfg.SettingsFactory - Automatic flush during beforeCompletion(): disabled 1110 [main] INFO org.hibernate.cfg.SettingsFactory - Automatic session close at end of transaction: disabled 1110 [main] INFO org.hibernate.cfg.SettingsFactory - JDBC batch size: 15 1110 [main] INFO org.hibernate.cfg.SettingsFactory - JDBC batch updates for versioned data: disabled 1111 [main] INFO org.hibernate.cfg.SettingsFactory - Scrollable result sets: enabled 1111 [main] INFO org.hibernate.cfg.SettingsFactory - JDBC3 getGeneratedKeys(): enabled 1111 [main] INFO org.hibernate.cfg.SettingsFactory - Connection release mode: auto 1111 [main] INFO org.hibernate.cfg.SettingsFactory - Maximum outer join fetch depth: 2 1111 [main] INFO org.hibernate.cfg.SettingsFactory - Default batch fetch size: 1 1111 [main] INFO org.hibernate.cfg.SettingsFactory - Generate SQL with comments: disabled 1111 [main] INFO org.hibernate.cfg.SettingsFactory - Order SQL updates by primary key: disabled 1111 [main] INFO org.hibernate.cfg.SettingsFactory - Order SQL inserts for batching: disabled 1112 [main] INFO org.hibernate.cfg.SettingsFactory - Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory 1113 [main] INFO org.hibernate.hql.ast.ASTQueryTranslatorFactory - Using ASTQueryTranslatorFactory 1113 [main] INFO org.hibernate.cfg.SettingsFactory - Query language substitutions: {} 1113 [main] INFO org.hibernate.cfg.SettingsFactory - JPA-QL strict compliance: disabled 1113 [main] INFO org.hibernate.cfg.SettingsFactory - Second-level cache: enabled 1113 [main] INFO org.hibernate.cfg.SettingsFactory - Query cache: disabled 1113 [main] INFO org.hibernate.cfg.SettingsFactory - Cache region factory : org.hibernate.cache.impl.NoCachingRegionFactory 1113 [main] INFO org.hibernate.cfg.SettingsFactory - Optimize cache for minimal puts: disabled 1114 [main] INFO org.hibernate.cfg.SettingsFactory - Structured second-level cache entries: disabled 1117 [main] INFO org.hibernate.cfg.SettingsFactory - Echoing all SQL to stdout 1118 [main] INFO org.hibernate.cfg.SettingsFactory - Statistics: disabled 1118 [main] INFO org.hibernate.cfg.SettingsFactory - Deleted entity synthetic identifier rollback: disabled 1118 [main] INFO org.hibernate.cfg.SettingsFactory - Default entity-mode: pojo 1118 [main] INFO org.hibernate.cfg.SettingsFactory - Named query checking : enabled 1118 [main] INFO org.hibernate.cfg.SettingsFactory - Check Nullability in Core (should be disabled when Bean Validation is on): enabled 1151 [main] INFO org.hibernate.impl.SessionFactoryImpl - building session factory org.hibernate.HibernateException: Unable to instantiate default tuplizer [org.hibernate.tuple.entity.PojoEntityTuplizer] at org.hibernate.tuple.entity.EntityTuplizerFactory.constructTuplizer(EntityTuplizerFactory.java:110) at org.hibernate.tuple.entity.EntityTuplizerFactory.constructDefaultTuplizer(EntityTuplizerFactory.java:135) at org.hibernate.tuple.entity.EntityEntityModeToTuplizerMapping.<init>(EntityEntityModeToTuplizerMapping.java:80) at org.hibernate.tuple.entity.EntityMetamodel.<init>(EntityMetamodel.java:323) at org.hibernate.persister.entity.AbstractEntityPersister.<init>(AbstractEntityPersister.java:475) at org.hibernate.persister.entity.SingleTableEntityPersister.<init>(SingleTableEntityPersister.java:133) at org.hibernate.persister.PersisterFactory.createClassPersister(PersisterFactory.java:84) at org.hibernate.impl.SessionFactoryImpl.<init>(SessionFactoryImpl.java:295) at org.hibernate.cfg.Configuration.buildSessionFactory(Configuration.java:1385) at service.HibernateSessionFactory.currentSession(HibernateSessionFactory.java:53) at service.ItemSvcHibImpl.generateReport(ItemSvcHibImpl.java:78) at service.test.ItemSvcTest.testGenerateReport(ItemSvcTest.java:226) 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 junit.framework.TestCase.runTest(TestCase.java:164) at junit.framework.TestCase.runBare(TestCase.java:130) at junit.framework.TestResult$1.protect(TestResult.java:106) at junit.framework.TestResult.runProtected(TestResult.java:124) at junit.framework.TestResult.run(TestResult.java:109) at junit.framework.TestCase.run(TestCase.java:120) at junit.framework.TestSuite.runTest(TestSuite.java:230) at junit.framework.TestSuite.run(TestSuite.java:225) at org.eclipse.jdt.internal.junit.runner.junit3.JUnit3TestReference.run(JUnit3TestReference.java:130) at org.eclipse.jdt.internal.junit.runner.TestExecution.run(TestExecution.java:38) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:467) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:683) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.run(RemoteTestRunner.java:390) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.main(RemoteTestRunner.java:197) Caused by: java.lang.reflect.InvocationTargetException 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.hibernate.tuple.entity.EntityTuplizerFactory.constructTuplizer(EntityTuplizerFactory.java:107) ... 29 more Caused by: org.hibernate.PropertyNotFoundException: Could not find a getter for puchaseDate in class domain.Item at org.hibernate.property.BasicPropertyAccessor.createGetter(BasicPropertyAccessor.java:328) at org.hibernate.property.BasicPropertyAccessor.getGetter(BasicPropertyAccessor.java:321) at org.hibernate.mapping.Property.getGetter(Property.java:304) at org.hibernate.tuple.entity.PojoEntityTuplizer.buildPropertyGetter(PojoEntityTuplizer.java:299) at org.hibernate.tuple.entity.AbstractEntityTuplizer.<init>(AbstractEntityTuplizer.java:158) at org.hibernate.tuple.entity.PojoEntityTuplizer.<init>(PojoEntityTuplizer.java:77) ... 34 more I'm new to Hibernate, so I don't know all the ins and outs, but I do have the getter and setter for the purchaseDate attribute. I don't know what I'm missing here - does anyone else? Thanks!

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• SQL SERVER – Introduction to SQL Server 2014 In-Memory OLTP

  - by Pinal Dave

  In SQL Server 2014 Microsoft has introduced a new database engine component called In-Memory OLTP aka project “Hekaton” which is fully integrated into the SQL Server Database Engine. It is optimized for OLTP workloads accessing memory resident data. In-memory OLTP helps us create memory optimized tables which in turn offer significant performance improvement for our typical OLTP workload. The main objective of memory optimized table is to ensure that highly transactional tables could live in memory and remain in memory forever without even losing out a single record. The most significant part is that it still supports majority of our Transact-SQL statement. Transact-SQL stored procedures can be compiled to machine code for further performance improvements on memory-optimized tables. This engine is designed to ensure higher concurrency and minimal blocking. In-Memory OLTP alleviates the issue of locking, using a new type of multi-version optimistic concurrency control. It also substantially reduces waiting for log writes by generating far less log data and needing fewer log writes. Points to remember Memory-optimized tables refer to tables using the new data structures and key words added as part of In-Memory OLTP. Disk-based tables refer to your normal tables which we used to create in SQL Server since its inception. These tables use a fixed size 8 KB pages that need to be read from and written to disk as a unit. Natively compiled stored procedures refer to an object Type which is new and is supported by in-memory OLTP engine which convert it into machine code, which can further improve the data access performance for memory –optimized tables. Natively compiled stored procedures can only reference memory-optimized tables, they can’t be used to reference any disk –based table. Interpreted Transact-SQL stored procedures, which is what SQL Server has always used. Cross-container transactions refer to transactions that reference both memory-optimized tables and disk-based tables. Interop refers to interpreted Transact-SQL that references memory-optimized tables. Using In-Memory OLTP In-Memory OLTP engine has been available as part of SQL Server 2014 since June 2013 CTPs. Installation of In-Memory OLTP is part of the SQL Server setup application. The In-Memory OLTP components can only be installed with a 64-bit edition of SQL Server 2014 hence they are not available with 32-bit editions. Creating Databases Any database that will store memory-optimized tables must have a MEMORY_OPTIMIZED_DATA filegroup. This filegroup is specifically designed to store the checkpoint files needed by SQL Server to recover the memory-optimized tables, and although the syntax for creating the filegroup is almost the same as for creating a regular filestream filegroup, it must also specify the option CONTAINS MEMORY_OPTIMIZED_DATA. Here is an example of a CREATE DATABASE statement for a database that can support memory-optimized tables: CREATE DATABASE InMemoryDB ON PRIMARY(NAME = [InMemoryDB_data], FILENAME = 'D:\data\InMemoryDB_data.mdf', size=500MB), FILEGROUP [SampleDB_mod_fg] CONTAINS MEMORY_OPTIMIZED_DATA (NAME = [InMemoryDB_mod_dir], FILENAME = 'S:\data\InMemoryDB_mod_dir'), (NAME = [InMemoryDB_mod_dir], FILENAME = 'R:\data\InMemoryDB_mod_dir') LOG ON (name = [SampleDB_log], Filename='L:\log\InMemoryDB_log.ldf', size=500MB) COLLATE Latin1_General_100_BIN2; Above example code creates files on three different drives (D:  S: and R:) for the data files and in memory storage so if you would like to run this code kindly change the drive and folder locations as per your convenience. Also notice that binary collation was specified as Windows (non-SQL). BIN2 collation is the only collation support at this point for any indexes on memory optimized tables. It is also possible to add a MEMORY_OPTIMIZED_DATA file group to an existing database, use the below command to achieve the same. ALTER DATABASE AdventureWorks2012 ADD FILEGROUP hekaton_mod CONTAINS MEMORY_OPTIMIZED_DATA; GO ALTER DATABASE AdventureWorks2012 ADD FILE (NAME='hekaton_mod', FILENAME='S:\data\hekaton_mod') TO FILEGROUP hekaton_mod; GO Creating Tables There is no major syntactical difference between creating a disk based table or a memory –optimized table but yes there are a few restrictions and a few new essential extensions. Essentially any memory-optimized table should use the MEMORY_OPTIMIZED = ON clause as shown in the Create Table query example. DURABILITY clause (SCHEMA_AND_DATA or SCHEMA_ONLY) Memory-optimized table should always be defined with a DURABILITY value which can be either SCHEMA_AND_DATA or  SCHEMA_ONLY the former being the default. A memory-optimized table defined with DURABILITY=SCHEMA_ONLY will not persist the data to disk which means the data durability is compromised whereas DURABILITY= SCHEMA_AND_DATA ensures that data is also persisted along with the schema. Indexing Memory Optimized Table A memory-optimized table must always have an index for all tables created with DURABILITY= SCHEMA_AND_DATA and this can be achieved by declaring a PRIMARY KEY Constraint at the time of creating a table. The following example shows a PRIMARY KEY index created as a HASH index, for which a bucket count must also be specified. CREATE TABLE Mem_Table ( [Name] VARCHAR(32) NOT NULL PRIMARY KEY NONCLUSTERED HASH WITH (BUCKET_COUNT = 100000), [City] VARCHAR(32) NULL, [State_Province] VARCHAR(32) NULL, [LastModified] DATETIME NOT NULL, ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA); Now as you can see in the above query example we have used the clause MEMORY_OPTIMIZED = ON to make sure that it is considered as a memory optimized table and not just a normal table and also used the DURABILITY Clause= SCHEMA_AND_DATA which means it will persist data along with metadata and also you can notice this table has a PRIMARY KEY mentioned upfront which is also a mandatory clause for memory-optimized tables. We will talk more about HASH Indexes and BUCKET_COUNT in later articles on this topic which will be focusing more on Row and Index storage on Memory-Optimized tables. So stay tuned for that as well. Now as we covered the basics of Memory Optimized tables and understood the key things to remember while using memory optimized tables, let’s explore more using examples to understand the Performance gains using memory-optimized tables. I will be using the database which i created earlier in this article i.e. InMemoryDB in the below Demo Exercise. USE InMemoryDB GO -- Creating a disk based table CREATE TABLE dbo.Disktable ( Id INT IDENTITY, Name CHAR(40) ) GO CREATE NONCLUSTERED INDEX IX_ID ON dbo.Disktable (Id) GO -- Creating a memory optimized table with similar structure and DURABILITY = SCHEMA_AND_DATA CREATE TABLE dbo.Memorytable_durable ( Id INT NOT NULL PRIMARY KEY NONCLUSTERED Hash WITH (bucket_count =1000000), Name CHAR(40) ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA) GO -- Creating an another memory optimized table with similar structure but DURABILITY = SCHEMA_Only CREATE TABLE dbo.Memorytable_nondurable ( Id INT NOT NULL PRIMARY KEY NONCLUSTERED Hash WITH (bucket_count =1000000), Name CHAR(40) ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_only) GO -- Now insert 100000 records in dbo.Disktable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Disktable(Name) VALUES('sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END -- Do the same inserts for Memory table dbo.Memorytable_durable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Memorytable_durable VALUES(@i_t, 'sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END -- Now finally do the same inserts for Memory table dbo.Memorytable_nondurable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Memorytable_nondurable VALUES(@i_t, 'sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END The above 3 Inserts took 1.20 minutes, 54 secs, and 2 secs respectively to insert 100000 records on my machine with 8 Gb RAM. This proves the point that memory-optimized tables can definitely help businesses achieve better performance for their highly transactional business table and memory- optimized tables with Durability SCHEMA_ONLY is even faster as it does not bother persisting its data to disk which makes it supremely fast. Koenig Solutions is one of the few organizations which offer IT training on SQL Server 2014 and all its updates. Now, I leave the decision on using memory_Optimized tables on you, I hope you like this article and it helped you understand  the fundamentals of IN-Memory OLTP . Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Koenig

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• SQL Monitor’s data repository

  - by Chris Lambrou

  As one of the developers of SQL Monitor, I often get requests passed on by our support people from customers who are looking to dip into SQL Monitor’s own data repository, in order to pull out bits of information that they’re interested in. Since there’s clearly interest out there in playing around directly with the data repository, I thought I’d write some blog posts to start to describe how it all works. The hardest part for me is knowing where to begin, since the schema of the data repository is pretty big. Hmmm… I guess it’s tricky for anyone to write anything but the most trivial of queries against the data repository without understanding the hierarchy of monitored objects, so perhaps my first post should start there. I always imagine that whenever a customer fires up SSMS and starts to explore their SQL Monitor data repository database, they become immediately bewildered by the schema – that was certainly my experience when I did so for the first time. The following query shows the number of different object types in the data repository schema: SELECT type_desc, COUNT(*) AS [count] FROM sys.objects GROUP BY type_desc ORDER BY type_desc;  type_desccount 1DEFAULT_CONSTRAINT63 2FOREIGN_KEY_CONSTRAINT181 3INTERNAL_TABLE3 4PRIMARY_KEY_CONSTRAINT190 5SERVICE_QUEUE3 6SQL_INLINE_TABLE_VALUED_FUNCTION381 7SQL_SCALAR_FUNCTION2 8SQL_STORED_PROCEDURE100 9SYSTEM_TABLE41 10UNIQUE_CONSTRAINT54 11USER_TABLE193 12VIEW124 With 193 tables, 124 views, 100 stored procedures and 381 table valued functions, that’s quite a hefty schema, and when you browse through it using SSMS, it can be a bit daunting at first. So, where to begin? Well, let’s narrow things down a bit and only look at the tables belonging to the data schema. That’s where all of the collected monitoring data is stored by SQL Monitor. The following query gives us the names of those tables: SELECT sch.name + '.' + obj.name AS [name] FROM sys.objects obj JOIN sys.schemas sch ON sch.schema_id = obj.schema_id WHERE obj.type_desc = 'USER_TABLE' AND sch.name = 'data' ORDER BY sch.name, obj.name; This query still returns 110 tables. I won’t show them all here, but let’s have a look at the first few of them:  name 1data.Cluster_Keys 2data.Cluster_Machine_ClockSkew_UnstableSamples 3data.Cluster_Machine_Cluster_StableSamples 4data.Cluster_Machine_Keys 5data.Cluster_Machine_LogicalDisk_Capacity_StableSamples 6data.Cluster_Machine_LogicalDisk_Keys 7data.Cluster_Machine_LogicalDisk_Sightings 8data.Cluster_Machine_LogicalDisk_UnstableSamples 9data.Cluster_Machine_LogicalDisk_Volume_StableSamples 10data.Cluster_Machine_Memory_Capacity_StableSamples 11data.Cluster_Machine_Memory_UnstableSamples 12data.Cluster_Machine_Network_Capacity_StableSamples 13data.Cluster_Machine_Network_Keys 14data.Cluster_Machine_Network_Sightings 15data.Cluster_Machine_Network_UnstableSamples 16data.Cluster_Machine_OperatingSystem_StableSamples 17data.Cluster_Machine_Ping_UnstableSamples 18data.Cluster_Machine_Process_Instances 19data.Cluster_Machine_Process_Keys 20data.Cluster_Machine_Process_Owner_Instances 21data.Cluster_Machine_Process_Sightings 22data.Cluster_Machine_Process_UnstableSamples 23… There are two things I want to draw your attention to: The table names describe a hierarchy of the different types of object that are monitored by SQL Monitor (e.g. clusters, machines and disks). For each object type in the hierarchy, there are multiple tables, ending in the suffixes _Keys, _Sightings, _StableSamples and _UnstableSamples. Not every object type has a table for every suffix, but the _Keys suffix is especially important and a _Keys table does indeed exist for every object type. In fact, if we limit the query to return only those tables ending in _Keys, we reveal the full object hierarchy: SELECT sch.name + '.' + obj.name AS [name] FROM sys.objects obj JOIN sys.schemas sch ON sch.schema_id = obj.schema_id WHERE obj.type_desc = 'USER_TABLE' AND sch.name = 'data' AND obj.name LIKE '%_Keys' ORDER BY sch.name, obj.name;  name 1data.Cluster_Keys 2data.Cluster_Machine_Keys 3data.Cluster_Machine_LogicalDisk_Keys 4data.Cluster_Machine_Network_Keys 5data.Cluster_Machine_Process_Keys 6data.Cluster_Machine_Services_Keys 7data.Cluster_ResourceGroup_Keys 8data.Cluster_ResourceGroup_Resource_Keys 9data.Cluster_SqlServer_Agent_Job_History_Keys 10data.Cluster_SqlServer_Agent_Job_Keys 11data.Cluster_SqlServer_Database_BackupType_Backup_Keys 12data.Cluster_SqlServer_Database_BackupType_Keys 13data.Cluster_SqlServer_Database_CustomMetric_Keys 14data.Cluster_SqlServer_Database_File_Keys 15data.Cluster_SqlServer_Database_Keys 16data.Cluster_SqlServer_Database_Table_Index_Keys 17data.Cluster_SqlServer_Database_Table_Keys 18data.Cluster_SqlServer_Error_Keys 19data.Cluster_SqlServer_Keys 20data.Cluster_SqlServer_Services_Keys 21data.Cluster_SqlServer_SqlProcess_Keys 22data.Cluster_SqlServer_TopQueries_Keys 23data.Cluster_SqlServer_Trace_Keys 24data.Group_Keys The full object type hierarchy looks like this: Cluster Machine LogicalDisk Network Process Services ResourceGroup Resource SqlServer Agent Job History Database BackupType Backup CustomMetric File Table Index Error Services SqlProcess TopQueries Trace Group Okay, but what about the individual objects themselves represented at each level in this hierarchy? Well that’s what the _Keys tables are for. This is probably best illustrated by way of a simple example – how can I query my own data repository to find the databases on my own PC for which monitoring data has been collected? Like this: SELECT clstr._Name AS cluster_name, srvr._Name AS instance_name, db._Name AS database_name FROM data.Cluster_SqlServer_Database_Keys db JOIN data.Cluster_SqlServer_Keys srvr ON db.ParentId = srvr.Id -- Note here how the parent of a Database is a Server JOIN data.Cluster_Keys clstr ON srvr.ParentId = clstr.Id -- Note here how the parent of a Server is a Cluster WHERE clstr._Name = 'dev-chrisl2' -- This is the hostname of my own PC ORDER BY clstr._Name, srvr._Name, db._Name;  cluster_nameinstance_namedatabase_name 1dev-chrisl2SqlMonitorData 2dev-chrisl2master 3dev-chrisl2model 4dev-chrisl2msdb 5dev-chrisl2mssqlsystemresource 6dev-chrisl2tempdb 7dev-chrisl2sql2005SqlMonitorData 8dev-chrisl2sql2005TestDatabase 9dev-chrisl2sql2005master 10dev-chrisl2sql2005model 11dev-chrisl2sql2005msdb 12dev-chrisl2sql2005mssqlsystemresource 13dev-chrisl2sql2005tempdb 14dev-chrisl2sql2008SqlMonitorData 15dev-chrisl2sql2008master 16dev-chrisl2sql2008model 17dev-chrisl2sql2008msdb 18dev-chrisl2sql2008mssqlsystemresource 19dev-chrisl2sql2008tempdb These results show that I have three SQL Server instances on my machine (a default instance, one named sql2005 and one named sql2008), and each instance has the usual set of system databases, along with a database named SqlMonitorData. Basically, this is where I test SQL Monitor on different versions of SQL Server, when I’m developing. There are a few important things we can learn from this query: Each _Keys table has a column named Id. This is the primary key. Each _Keys table has a column named ParentId. A foreign key relationship is defined between each _Keys table and its parent _Keys table in the hierarchy. There are two exceptions to this, Cluster_Keys and Group_Keys, because clusters and groups live at the root level of the object hierarchy. Each _Keys table has a column named _Name. This is used to uniquely identify objects in the table within the scope of the same shared parent object. Actually, that last item isn’t always true. In some cases, the _Name column is actually called something else. For example, the data.Cluster_Machine_Services_Keys table has a column named _ServiceName instead of _Name (sorry for the inconsistency). In other cases, a name isn’t sufficient to uniquely identify an object. For example, right now my PC has multiple processes running, all sharing the same name, Chrome (one for each tab open in my web-browser). In such cases, multiple columns are used to uniquely identify an object within the scope of the same shared parent object. Well, that’s it for now. I’ve given you enough information for you to explore the _Keys tables to see how objects are stored in your own data repositories. In a future post, I’ll try to explain how monitoring data is stored for each object, using the _StableSamples and _UnstableSamples tables. If you have any questions about this post, or suggestions for future posts, just submit them in the comments section below.

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• java.lang.NoSuchMethodError: javax.persistence.OneToMany.orphanRemoval()Z

  - by Panayiotis Karabassis

  I am getting this error: java.lang.NoSuchMethodError: javax.persistence.OneToMany.orphanRemoval()Z These are the jars in my classpath: com.sun.faces/jsf-api/jars/jsf-api-2.0.0.jar com.sun.faces/jsf-impl/jars/jsf-impl-2.0.0.jar org.apache.myfaces.orchestra/myfaces-orchestra-core20/jars/myfaces-orchestra-core20-1.5-SNAPSHOT.jar commons-lang/commons-lang/jars/commons-lang-2.1.jar commons-logging/commons-logging/jars/commons-logging-1.1.1.jar org.springframework/spring/jars/spring-2.5.6.jar commons-el/commons-el/jars/commons-el-1.0.jar org.richfaces.ui/richfaces-ui/jars/richfaces-ui-3.3.3.Final.jar org.richfaces.framework/richfaces-api/jars/richfaces-api-3.3.3.Final.jar commons-collections/commons-collections/jars/commons-collections-3.2.jar commons-beanutils/commons-beanutils/jars/commons-beanutils-1.8.0.jar org.richfaces.framework/richfaces-impl-jsf2/jars/richfaces-impl-jsf2-3.3.3.Final.jar com.sun.facelets/jsf-facelets/jars/jsf-facelets-1.1.14.jar org.hibernate/hibernate-core/jars/hibernate-core-3.6.0.Final.jar antlr/antlr/jars/antlr-2.7.6.jar dom4j/dom4j/jars/dom4j-1.6.1.jar org.hibernate/hibernate-commons-annotations/jars/hibernate-commons-annotations-3.2.0.Final.jar org.slf4j/slf4j-api/jars/slf4j-api-1.6.1.jar org.hibernate.javax.persistence/hibernate-jpa-2.0-api/jars/hibernate-jpa-2.0-api-1.0.0.Final.jar javax.transaction/jta/jars/jta-1.1.jar org.hibernate/hibernate-c3p0/jars/hibernate-c3p0-3.6.0.Final.jar c3p0/c3p0/jars/c3p0-0.9.1.jar org.hibernate/hibernate-entitymanager/jars/hibernate-entitymanager-3.6.0.Final.jar cglib/cglib/jars/cglib-2.2.jar asm/asm/jars/asm-3.1.jar javassist/javassist/jars/javassist-3.12.0.GA.jar org.hibernate/hibernate-search/jars/hibernate-search-3.3.0.Final.jar org.hibernate/hibernate-search-analyzers/jars/hibernate-search-analyzers-3.3.0.Final.jar org.apache.lucene/lucene-core/jars/lucene-core-3.0.3.jar org.apache.lucene/lucene-analyzers/jars/lucene-analyzers-3.0.3.jar mysql/mysql-connector-java/jars/mysql-connector-java-5.1.13.jar com.ocpsoft/prettyfaces-jsf2/jars/prettyfaces-jsf2-3.0.1.jar commons-digester/commons-digester/jars/commons-digester-2.0.jar org.slf4j/slf4j-log4j12/jars/slf4j-log4j12-1.6.1.jar log4j/log4j/bundles/log4j-1.2.16.jar xom/xom/jars/xom-1.2.5.jar xml-apis/xml-apis/jars/xml-apis-1.3.03.jar xerces/xercesImpl/jars/xercesImpl-2.8.0.jar xalan/xalan/jars/xalan-2.7.0.jar org.jboss.jsfunit/jboss-jsfunit-core/jars/jboss-jsfunit-core-1.3.0.Final.jar net.sourceforge.htmlunit/htmlunit/jars/htmlunit-2.8.jar xalan/xalan/jars/xalan-2.7.1.jar xalan/serializer/jars/serializer-2.7.1.jar xml-apis/xml-apis/jars/xml-apis-1.3.04.jar commons-collections/commons-collections/jars/commons-collections-3.2.1.jar commons-lang/commons-lang/jars/commons-lang-2.4.jar org.apache.httpcomponents/httpclient/jars/httpclient-4.0.1.jar org.apache.httpcomponents/httpcore/jars/httpcore-4.0.1.jar commons-codec/commons-codec/jars/commons-codec-1.4.jar org.apache.httpcomponents/httpmime/jars/httpmime-4.0.1.jar org.apache.james/apache-mime4j/jars/apache-mime4j-0.6.jar net.sourceforge.htmlunit/htmlunit-core-js/jars/htmlunit-core-js-2.8.jar xerces/xercesImpl/jars/xercesImpl-2.9.1.jar net.sourceforge.nekohtml/nekohtml/jars/nekohtml-1.9.14.jar net.sourceforge.cssparser/cssparser/jars/cssparser-0.9.5.jar org.w3c.css/sac/jars/sac-1.3.jar commons-io/commons-io/jars/commons-io-1.4.jar cactus/cactus/jars/cactus-13-1.7.1.jar cactus/cactus-ant/jars/cactus-ant-13-1.7.1.jar commons-httpclient/commons-httpclient/jars/commons-httpclient-2.0.2.jar junit/junit/jars/junit-3.8.1.jar aspectj/aspectjrt/jars/aspectjrt-1.2.1.jar cargo/cargo/jars/cargo-0.5.jar ant/ant/jars/ant-1.5.4.jar and this is my ivy.xml: <dependencies> <!-- JSF 2.0 RI --> <dependency org="com.sun.faces" name="jsf-api" rev="2.0.0"/> <dependency org="com.sun.faces" name="jsf-impl" rev="2.0.0"/> <!-- MyFaces Orchestra --> <dependency org="org.apache.myfaces.orchestra" name="myfaces-orchestra-core20" rev="1.5-SNAPSHOT"/> <dependency org="org.springframework" name="spring" rev="2.5.6"/> <dependency org="commons-el" name="commons-el" rev="1.0"/> <!-- RichFaces --> <dependency org="org.richfaces.ui" name="richfaces-ui" rev="3.3.3.Final"/> <dependency org="org.richfaces.framework" name="richfaces-impl-jsf2" rev="3.3.3.Final"/> <dependency org="com.sun.facelets" name="jsf-facelets" rev="1.1.14"/> <!-- Hibernate --> <dependency org="org.hibernate" name="hibernate-core" rev="3.6.0.Final"/> <dependency org="org.hibernate" name="hibernate-c3p0" rev="3.6.0.Final"/> <dependency org="org.hibernate" name="hibernate-entitymanager" rev="3.6.0.Final"/> <dependency org="org.hibernate" name="hibernate-search" rev="3.3.0.Final"/> <dependency org="mysql" name="mysql-connector-java" rev="5.1.13"/> <!-- PrettyFaces --> <dependency org="com.ocpsoft" name="prettyfaces-jsf2" rev="3.0.1"/> <!-- SLF4J --> <dependency org="org.slf4j" name="slf4j-api" rev="1.6.1"/> <dependency org="org.slf4j" name="slf4j-log4j12" rev="1.6.1"/> <!-- XOM --> <dependency org="xom" name="xom" rev="1.2.5"/> <!-- JSF Unit --> <dependency org="org.jboss.jsfunit" name="jboss-jsfunit-core" rev="1.3.0.Final" conf="development"/> </dependencies> I am deploying to tomcat 6.0 Update After the answer below, I solved this by adding the following dependency to my ivy.xml: <dependency org="org.hibernate.javax.persistence" name="hibernate-jpa-2.0-api" rev="1.0.0.Final"/> then putting this jar above everything else under Eclipse's build order tab. I was using JRE/JDK 6.

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• Microsoft Sql Server driver for Nodejs - Part 2

  - by chanderdhall

  Nodejs, Sql server and Json response with Rest This post is part 2 of Microsoft Sql Server driver for Node js.In this post we will look at the JSON responses from the Microsoft Sql Server driver for Node js. Pre-requisites: If you have read the Part 1 of the series, you should be good. We will be using a framework for Rest within Nodejs - Restify, but that would need no prior learning. Restify: Restify is a simple node module for building RESTful services. It is slimmer than Express. Express is a complete module that has all what you need to create a full-blown browser app. However, Restify does not have additional overhead of templating, rendering etc that would be needed if your app has views. So, as the name suggests it's an awesome framework for building RESTful services and is very light-weight. Set up - You can continue with the same directory or project structure we had in the previous post, or can start a new one. Install restify using npm and you are good to go. npm install restify Go to Server.js and include Restify in your solution. Then create the server object using restify.CreateServer() - SLICK - ha? var restify = require('restify'); var server = restify.createServer(); server.listen(8080, function () { console.log('%s listening at %s', server.name, server.url); }); Then make sure you provide a port for the Server to listen at. The call back function is optional but helps you for debugging purposes. Once you are done, save the file and then go to the command prompt and hit 'node server.js' and you should see the following:   To test the server, go to your browser and type the address 'http://localhost:8080/' and oops you will see an error.   Why is that? - Well because we haven't defined any routes. Let's go ahead and create a route. To begin with I'd like to return whatever is typed in the url after my name and the following code should do it. server.get('/ChanderDhall/:status', function respond(req, res, next) { res.end("hello " + req.params.name + "") }); You can also avoid writing call backs inline. Something like this. function respond(req, res, next) { res.end("Chander Dhall " + req.params.name + ""); } server.get('/hello/:name', respond); Now if you go ahead and type http://localhost:8080/ChanderDhall/LovesNode you will get the response 'Chander Dhall loves node'. NOTE: Make sure your url has the right case as it's case-sensitive. You could have also typed it in as 'server.get('/chanderdhall/:name', respond);' Stored procedure: We've talked a lot about Restify now, but keep in mind the post is about being able to use Sql server with Node and return JSON. To see this in action, let's go ahead and create another route to a list of Employees from a stored procedure. server.get('/Employees', Employees); The following code will return a JSON response.  function Employees(req, res, next) { res.header("Content-Type: application/json"); //Need to specify the Content-Type which is //JSON in our case. sql.open(conn_str, function (err, conn) { if (err) { //Logs an error console.log("Error opening the database connection!"); return; } console.log("before query!"); conn.queryRaw("exec sp_GetEmployees", function (err, results) { if (err) { //Connection is open but an error occurs whileWhat else can be done? May be create a formatter or may be even come up with a hypermedia type but that may upset some pragmatists. Well, that's going to be a totally different discussion and is really not part of this series. Summary: We've discussed how to execute a stored procedure using Microsoft Sql Server driver for Node. Also, we have discussed how to format and send out a clean JSON to the app calling this API.  

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• java.lang.NoSuchMethodError: javax.persistence.OneToMany.orphanRemoval()Z

  - by Panayiotis Karabassis

  I am getting this error: java.lang.NoSuchMethodError: javax.persistence.OneToMany.orphanRemoval()Z These are the jars in my classpath: com.sun.faces/jsf-api/jars/jsf-api-2.0.0.jar com.sun.faces/jsf-impl/jars/jsf-impl-2.0.0.jar org.apache.myfaces.orchestra/myfaces-orchestra-core20/jars/myfaces-orchestra-core20-1.5-SNAPSHOT.jar commons-lang/commons-lang/jars/commons-lang-2.1.jar commons-logging/commons-logging/jars/commons-logging-1.1.1.jar org.springframework/spring/jars/spring-2.5.6.jar commons-el/commons-el/jars/commons-el-1.0.jar org.richfaces.ui/richfaces-ui/jars/richfaces-ui-3.3.3.Final.jar org.richfaces.framework/richfaces-api/jars/richfaces-api-3.3.3.Final.jar commons-collections/commons-collections/jars/commons-collections-3.2.jar commons-beanutils/commons-beanutils/jars/commons-beanutils-1.8.0.jar org.richfaces.framework/richfaces-impl-jsf2/jars/richfaces-impl-jsf2-3.3.3.Final.jar com.sun.facelets/jsf-facelets/jars/jsf-facelets-1.1.14.jar org.hibernate/hibernate-core/jars/hibernate-core-3.6.0.Final.jar antlr/antlr/jars/antlr-2.7.6.jar dom4j/dom4j/jars/dom4j-1.6.1.jar org.hibernate/hibernate-commons-annotations/jars/hibernate-commons-annotations-3.2.0.Final.jar org.slf4j/slf4j-api/jars/slf4j-api-1.6.1.jar org.hibernate.javax.persistence/hibernate-jpa-2.0-api/jars/hibernate-jpa-2.0-api-1.0.0.Final.jar javax.transaction/jta/jars/jta-1.1.jar org.hibernate/hibernate-c3p0/jars/hibernate-c3p0-3.6.0.Final.jar c3p0/c3p0/jars/c3p0-0.9.1.jar org.hibernate/hibernate-entitymanager/jars/hibernate-entitymanager-3.6.0.Final.jar cglib/cglib/jars/cglib-2.2.jar asm/asm/jars/asm-3.1.jar javassist/javassist/jars/javassist-3.12.0.GA.jar org.hibernate/hibernate-search/jars/hibernate-search-3.3.0.Final.jar org.hibernate/hibernate-search-analyzers/jars/hibernate-search-analyzers-3.3.0.Final.jar org.apache.lucene/lucene-core/jars/lucene-core-3.0.3.jar org.apache.lucene/lucene-analyzers/jars/lucene-analyzers-3.0.3.jar mysql/mysql-connector-java/jars/mysql-connector-java-5.1.13.jar com.ocpsoft/prettyfaces-jsf2/jars/prettyfaces-jsf2-3.0.1.jar commons-digester/commons-digester/jars/commons-digester-2.0.jar org.slf4j/slf4j-log4j12/jars/slf4j-log4j12-1.6.1.jar log4j/log4j/bundles/log4j-1.2.16.jar xom/xom/jars/xom-1.2.5.jar xml-apis/xml-apis/jars/xml-apis-1.3.03.jar xerces/xercesImpl/jars/xercesImpl-2.8.0.jar xalan/xalan/jars/xalan-2.7.0.jar org.jboss.jsfunit/jboss-jsfunit-core/jars/jboss-jsfunit-core-1.3.0.Final.jar net.sourceforge.htmlunit/htmlunit/jars/htmlunit-2.8.jar xalan/xalan/jars/xalan-2.7.1.jar xalan/serializer/jars/serializer-2.7.1.jar xml-apis/xml-apis/jars/xml-apis-1.3.04.jar commons-collections/commons-collections/jars/commons-collections-3.2.1.jar commons-lang/commons-lang/jars/commons-lang-2.4.jar org.apache.httpcomponents/httpclient/jars/httpclient-4.0.1.jar org.apache.httpcomponents/httpcore/jars/httpcore-4.0.1.jar commons-codec/commons-codec/jars/commons-codec-1.4.jar org.apache.httpcomponents/httpmime/jars/httpmime-4.0.1.jar org.apache.james/apache-mime4j/jars/apache-mime4j-0.6.jar net.sourceforge.htmlunit/htmlunit-core-js/jars/htmlunit-core-js-2.8.jar xerces/xercesImpl/jars/xercesImpl-2.9.1.jar net.sourceforge.nekohtml/nekohtml/jars/nekohtml-1.9.14.jar net.sourceforge.cssparser/cssparser/jars/cssparser-0.9.5.jar org.w3c.css/sac/jars/sac-1.3.jar commons-io/commons-io/jars/commons-io-1.4.jar cactus/cactus/jars/cactus-13-1.7.1.jar cactus/cactus-ant/jars/cactus-ant-13-1.7.1.jar commons-httpclient/commons-httpclient/jars/commons-httpclient-2.0.2.jar junit/junit/jars/junit-3.8.1.jar aspectj/aspectjrt/jars/aspectjrt-1.2.1.jar cargo/cargo/jars/cargo-0.5.jar ant/ant/jars/ant-1.5.4.jar and this is my ivy.xml: <dependencies> <!-- JSF 2.0 RI --> <dependency org="com.sun.faces" name="jsf-api" rev="2.0.0"/> <dependency org="com.sun.faces" name="jsf-impl" rev="2.0.0"/> <!-- MyFaces Orchestra --> <dependency org="org.apache.myfaces.orchestra" name="myfaces-orchestra-core20" rev="1.5-SNAPSHOT"/> <dependency org="org.springframework" name="spring" rev="2.5.6"/> <dependency org="commons-el" name="commons-el" rev="1.0"/> <!-- RichFaces --> <dependency org="org.richfaces.ui" name="richfaces-ui" rev="3.3.3.Final"/> <dependency org="org.richfaces.framework" name="richfaces-impl-jsf2" rev="3.3.3.Final"/> <dependency org="com.sun.facelets" name="jsf-facelets" rev="1.1.14"/> <!-- Hibernate --> <dependency org="org.hibernate" name="hibernate-core" rev="3.6.0.Final"/> <dependency org="org.hibernate" name="hibernate-c3p0" rev="3.6.0.Final"/> <dependency org="org.hibernate" name="hibernate-entitymanager" rev="3.6.0.Final"/> <dependency org="org.hibernate" name="hibernate-search" rev="3.3.0.Final"/> <dependency org="mysql" name="mysql-connector-java" rev="5.1.13"/> <!-- PrettyFaces --> <dependency org="com.ocpsoft" name="prettyfaces-jsf2" rev="3.0.1"/> <!-- SLF4J --> <dependency org="org.slf4j" name="slf4j-api" rev="1.6.1"/> <dependency org="org.slf4j" name="slf4j-log4j12" rev="1.6.1"/> <!-- XOM --> <dependency org="xom" name="xom" rev="1.2.5"/> <!-- JSF Unit --> <dependency org="org.jboss.jsfunit" name="jboss-jsfunit-core" rev="1.3.0.Final" conf="development"/> </dependencies> I am deploying to tomcat 6.0 Update After the answer below, I solved this by adding the following dependency to my ivy.xml: <dependency org="org.hibernate.javax.persistence" name="hibernate-jpa-2.0-api" rev="1.0.0.Final"/> then putting this jar above everything else under Eclipse's build order tab. I was using JRE/JDK 6.

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• SQL SERVER – Weekly Series – Memory Lane – #035

  - by Pinal Dave

  Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 Row Overflow Data Explanation  In SQL Server 2005 one table row can contain more than one varchar(8000) fields. One more thing, the exclusions has exclusions also the limit of each individual column max width of 8000 bytes does not apply to varchar(max), nvarchar(max), varbinary(max), text, image or xml data type columns. Comparison Index Fragmentation, Index De-Fragmentation, Index Rebuild – SQL SERVER 2000 and SQL SERVER 2005 An old but like a gold article. Talks about lots of concepts related to Index and the difference from earlier version to the newer version. I strongly suggest that everyone should read this article just to understand how SQL Server has moved forward with the technology. Improvements in TempDB SQL Server 2005 had come up with quite a lots of improvements and this blog post describes them and explains the same. If you ask me what is my the most favorite article from early career. I must point out to this article as when I wrote this one I personally have learned a lot of new things. Recompile All The Stored Procedure on Specific TableI prefer to recompile all the stored procedure on the table, which has faced mass insert or update. sp_recompiles marks stored procedures to recompile when they execute next time. This blog post explains the same with the help of a script.  2008 SQLAuthority Download – SQL Server Cheatsheet You can download and print this cheat sheet and use it for your personal reference. If you have any suggestions, please let me know and I will see if I can update this SQL Server cheat sheet. Difference Between DBMS and RDBMS What is the difference between DBMS and RDBMS? DBMS – Data Base Management System RDBMS – Relational Data Base Management System or Relational DBMS High Availability – Hot Add Memory Hot Add CPU and Hot Add Memory are extremely interesting features of the SQL Server, however, personally I have not witness them heavily used. These features also have few restriction as well. I blogged about them in detail. 2009 Delete Duplicate Rows I have demonstrated in this blog post how one can identify and delete duplicate rows. Interesting Observation of Logon Trigger On All Servers – Solution The question I put forth in my previous article was – In single login why the trigger fires multiple times; it should be fired only once. I received numerous answers in thread as well as in my MVP private news group. Now, let us discuss the answer for the same. The answer is – It happens because multiple SQL Server services are running as well as intellisense is turned on. Blog post demonstrates how we can do the same with the help of SQL scripts. Management Studio New Features I have selected my favorite 5 features and blogged about it. IntelliSense for Query Editing Multi Server Query Query Editor Regions Object Explorer Enhancements Activity Monitors Maximum Number of Index per Table One of the questions I asked in my user group was – What is the maximum number of Index per table? I received lots of answers to this question but only two answers are correct. Let us now take a look at them in this blog post. 2010 Default Statistics on Column – Automatic Statistics on Column The truth is, Statistics can be in a table even though there is no Index in it. If you have the auto- create and/or auto-update Statistics feature turned on for SQL Server database, Statistics will be automatically created on the Column based on a few conditions. Please read my previously posted article, SQL SERVER – When are Statistics Updated – What triggers Statistics to Update, for the specific conditions when Statistics is updated. 2011 T-SQL Scripts to Find Maximum between Two Numbers In this blog post there are two different scripts listed which demonstrates way to find the maximum number between two numbers. I need your help, which one of the script do you think is the most accurate way to find maximum number? Find Details for Statistics of Whole Database – DMV – T-SQL Script I was recently asked is there a single script which can provide all the necessary details about statistics for any database. This question made me write following script. I was initially planning to use sp_helpstats command but I remembered that this is marked to be deprecated in future. 2012 Introduction to Function SIGN SIGN Function is very fundamental function. It will return the value 1, -1 or 0. If your value is negative it will return you negative -1 and if it is positive it will return you positive +1. Let us start with a simple small example. Template Browser – A Very Important and Useful Feature of SSMS Templates are like a quick cheat sheet or quick reference. Templates are available to create objects like databases, tables, views, indexes, stored procedures, triggers, statistics, and functions. Templates are also available for Analysis Services as well. The template scripts contain parameters to help you customize the code. You can Replace Template Parameters dialog box to insert values into the script. An invalid floating point operation occurred If you run any of the above functions they will give you an error related to invalid floating point. Honestly there is no workaround except passing the function appropriate values. SQRT of a negative number will give you result in real numbers which is not supported at this point of time as well LOG of a negative number is not possible (because logarithm is the inverse function of an exponential function and the exponential function is NEVER negative). Validating Spatial Object with IsValidDetailed Function SQL Server 2012 has introduced the new function IsValidDetailed(). This function has made my life very easy. In simple words, this function will check if the spatial object passed is valid or not. If it is valid it will give information that it is valid. If the spatial object is not valid it will return the answer that it is not valid and the reason for the same. This makes it very easy to debug the issue and make the necessary correction. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• How to nest transactions nicely - &quot;begin transaction&quot; vs &quot;save transaction&quot; and SQL Server

  - by Brian Biales

  Do you write stored procedures that might be used by others?  And those others may or may not have already started a transaction?  And your SP does several things, but if any of them fail, you have to undo them all and return with a code indicating it failed? Well, I have written such code, and it wasn’t working right until I finally figured out how to handle the case when we are already in a transaction, as well as the case where the caller did not start a transaction.  When a problem occurred, my “ROLLBACK TRANSACTION” would roll back not just my nested transaction, but the caller’s transaction as well.  So when I tested the procedure stand-alone, it seemed to work fine, but when others used it, it would cause a problem if it had to rollback.  When something went wrong in my procedure, their entire transaction was rolled back.  This was not appreciated. Now, I knew one could "nest" transactions, but the technical documentation was very confusing.  And I still have not found the approach below documented anywhere.  So here is a very brief description of how I got it to work, I hope you find this helpful. My example is a stored procedure that must figure out on its own if the caller has started a transaction or not.  This can be done in SQL Server by checking the @@TRANCOUNT value.  If no BEGIN TRANSACTION has occurred yet, this will have a value of 0.  Any number greater than zero means that a transaction is in progress.  If there is no current transaction, my SP begins a transaction. But if a transaction is already in progress, my SP uses SAVE TRANSACTION and gives it a name.  SAVE TRANSACTION creates a “save point”.  Note that creating a save point has no effect on @@TRANCOUNT.  So my SP starts with something like this: DECLARE @startingTranCount int SET @startingTranCount = @@TRANCOUNT IF @startingTranCount > 0 SAVE TRANSACTION mySavePointName ELSE BEGIN TRANSACTION -- … Then, when ready to commit the changes, you only need to commit if we started the transaction ourselves: IF @startingTranCount = 0 COMMIT TRANSACTION And finally, to roll back just your changes so far: -- Roll back changes... IF @startingTranCount > 0 ROLLBACK TRANSACTION MySavePointName ELSE ROLLBACK TRANSACTION Here is some code that you can try that will demonstrate how the save points work inside a transaction. This sample code creates a temporary table, then executes selects and updates, documenting what is going on, then deletes the temporary table. if running in SQL Management Studio, set Query Results to: Text for best readability of the results. -- Create a temporary table to test with, we'll drop it at the end. CREATE TABLE #ATable( [Column_A] [varchar](5) NULL ) ON [PRIMARY] GO SET NOCOUNT ON -- Ensure just one row - delete all rows, add one DELETE #ATable -- Insert just one row INSERT INTO #ATable VALUES('000') SELECT 'Before TRANSACTION starts, value in table is: ' AS Note, * FROM #ATable SELECT @@trancount AS CurrentTrancount --insert into a values ('abc') UPDATE #ATable SET Column_A = 'abc' SELECT 'UPDATED without a TRANSACTION, value in table is: ' AS Note, * FROM #ATable BEGIN TRANSACTION SELECT 'BEGIN TRANSACTION, trancount is now ' AS Note, @@TRANCOUNT AS TranCount UPDATE #ATable SET Column_A = '123' SELECT 'Row updated inside TRANSACTION, value in table is: ' AS Note, * FROM #ATable SAVE TRANSACTION MySavepoint SELECT 'Save point MySavepoint created, transaction count now:' as Note, @@TRANCOUNT AS TranCount UPDATE #ATable SET Column_A = '456' SELECT 'Updated after MySavepoint created, value in table is: ' AS Note, * FROM #ATable SAVE TRANSACTION point2 SELECT 'Save point point2 created, transaction count now:' as Note, @@TRANCOUNT AS TranCount UPDATE #ATable SET Column_A = '789' SELECT 'Updated after point2 savepoint created, value in table is: ' AS Note, * FROM #ATable ROLLBACK TRANSACTION point2 SELECT 'Just rolled back savepoint "point2", value in table is: ' AS Note, * FROM #ATable ROLLBACK TRANSACTION MySavepoint SELECT 'Just rolled back savepoint "MySavepoint", value in table is: ' AS Note, * FROM #ATable SELECT 'Both save points were rolled back, transaction count still:' as Note, @@TRANCOUNT AS TranCount ROLLBACK TRANSACTION SELECT 'Just rolled back the entire transaction..., value in table is: ' AS Note, * FROM #ATable DROP TABLE #ATable The output should look like this: Note                                           Column_A ---------------------------------------------- -------- Before TRANSACTION starts, value in table is:  000 CurrentTrancount ---------------- 0 Note                                               Column_A -------------------------------------------------- -------- UPDATED without a TRANSACTION, value in table is:  abc Note                                 TranCount ------------------------------------ ----------- BEGIN TRANSACTION, trancount is now  1 Note                                                Column_A --------------------------------------------------- -------- Row updated inside TRANSACTION, value in table is:  123 Note                                                   TranCount ------------------------------------------------------ ----------- Save point MySavepoint created, transaction count now: 1 Note                                                   Column_A ------------------------------------------------------ -------- Updated after MySavepoint created, value in table is:  456 Note                                              TranCount ------------------------------------------------- ----------- Save point point2 created, transaction count now: 1 Note                                                        Column_A ----------------------------------------------------------- -------- Updated after point2 savepoint created, value in table is:  789 Note                                                     Column_A -------------------------------------------------------- -------- Just rolled back savepoint "point2", value in table is:  456 Note                                                          Column_A ------------------------------------------------------------- -------- Just rolled back savepoint "MySavepoint", value in table is:  123 Note                                                        TranCount ----------------------------------------------------------- ----------- Both save points were rolled back, transaction count still: 1 Note                                                            Column_A --------------------------------------------------------------- -------- Just rolled back the entire transaction..., value in table is:  abc

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• Anatomy of a .NET Assembly - Custom attribute encoding

  - by Simon Cooper

  In my previous post, I covered how field, method, and other types of signatures are encoded in a .NET assembly. Custom attribute signatures differ quite a bit from these, which consequently affects attribute specifications in C#. Custom attribute specifications In C#, you can apply a custom attribute to a type or type member, specifying a constructor as well as the values of fields or properties on the attribute type: public class ExampleAttribute : Attribute { public ExampleAttribute(int ctorArg1, string ctorArg2) { ... } public Type ExampleType { get; set; } } [Example(5, "6", ExampleType = typeof(string))] public class C { ... } How does this specification actually get encoded and stored in an assembly? Specification blob values Custom attribute specification signatures use the same building blocks as other types of signatures; the ELEMENT_TYPE structure. However, they significantly differ from other types of signatures, in that the actual parameter values need to be stored along with type information. There are two types of specification arguments in a signature blob; fixed args and named args. Fixed args are the arguments to the attribute type constructor, named arguments are specified after the constructor arguments to provide a value to a field or property on the constructed attribute type (PropertyName = propValue) Values in an attribute blob are limited to one of the basic types (one of the number types, character, or boolean), a reference to a type, an enum (which, in .NET, has to use one of the integer types as a base representation), or arrays of any of those. Enums and the basic types are easy to store in a blob - you simply store the binary representation. Strings are stored starting with a compressed integer indicating the length of the string, followed by the UTF8 characters. Array values start with an integer indicating the number of elements in the array, then the item values concatentated together. Rather than using a coded token, Type values are stored using a string representing the type name and fully qualified assembly name (for example, MyNs.MyType, MyAssembly, Version=1.0.0.0, Culture=neutral, PublicKeyToken=0123456789abcdef). If the type is in the current assembly or mscorlib then just the type name can be used. This is probably done to prevent direct references between assemblies solely because of attribute specification arguments; assemblies can be loaded in the reflection-only context and attribute arguments still processed, without loading the entire assembly. Fixed and named arguments Each entry in the CustomAttribute metadata table contains a reference to the object the attribute is applied to, the attribute constructor, and the specification blob. The number and type of arguments to the constructor (the fixed args) can be worked out by the method signature referenced by the attribute constructor, and so the fixed args can simply be concatenated together in the blob without any extra type information. Named args are different. These specify the value to assign to a field or property once the attribute type has been constructed. In the CLR, fields and properties can be overloaded just on their type; different fields and properties can have the same name. Therefore, to uniquely identify a field or property you need: Whether it's a field or property (indicated using byte values 0x53 and 0x54, respectively) The field or property type The field or property name After the fixed arg values is a 2-byte number specifying the number of named args in the blob. Each named argument has the above information concatenated together, mostly using the basic ELEMENT_TYPE values, in the same way as a method or field signature. A Type argument is represented using the byte 0x50, and an enum argument is represented using the byte 0x55 followed by a string specifying the name and assembly of the enum type. The named argument property information is followed by the argument value, using the same encoding as fixed args. Boxed objects This would be all very well, were it not for object and object[]. Arguments and properties of type object allow a value of any allowed argument type to be specified. As a result, more information needs to be specified in the blob to interpret the argument bytes as the correct type. So, the argument value is simple prepended with the type of the value by specifying the ELEMENT_TYPE or name of the enum the value represents. For named arguments, a field or property of type object is represented using the byte 0x51, with the actual type specified in the argument value. Some examples... All property signatures start with the 2-byte value 0x0001. Similar to my previous post in the series, names in capitals correspond to a particular byte value in the ELEMENT_TYPE structure. For strings, I'll simply give the string value, rather than the length and UTF8 encoding in the actual blob. I'll be using the following enum and attribute types to demonstrate specification encodings: class AttrAttribute : Attribute { public AttrAttribute() {} public AttrAttribute(Type[] tArray) {} public AttrAttribute(object o) {} public AttrAttribute(MyEnum e) {} public AttrAttribute(ushort x, int y) {} public AttrAttribute(string str, Type type1, Type type2) {} public int Prop1 { get; set; } public object Prop2 { get; set; } public object[] ObjectArray; } enum MyEnum : int { Val1 = 1, Val2 = 2 } Now, some examples: Here, the the specification binds to the (ushort, int) attribute constructor, with fixed args only. The specification blob starts off with a prolog, followed by the two constructor arguments, then the number of named arguments (zero): [Attr(42, 84)] 0x0001 0x002a 0x00000054 0x0000 An example of string and type encoding: [Attr("MyString", typeof(Array), typeof(System.Windows.Forms.Form))] 0x0001 "MyString" "System.Array" "System.Windows.Forms.Form, System.Windows.Forms, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089" 0x0000 As you can see, the full assembly specification of a type is only needed if the type isn't in the current assembly or mscorlib. Note, however, that the C# compiler currently chooses to fully-qualify mscorlib types anyway. An object argument (this binds to the object attribute constructor), and two named arguments (a null string is represented by 0xff and the empty string by 0x00) [Attr((ushort)40, Prop1 = 12, Prop2 = "")] 0x0001 U2 0x0028 0x0002 0x54 I4 "Prop1" 0x0000000c 0x54 0x51 "Prop2" STRING 0x00 Right, more complicated now. A type array as a fixed argument: [Attr(new[] { typeof(string), typeof(object) })] 0x0001 0x00000002 // the number of elements "System.String" "System.Object" 0x0000 An enum value, which is simply represented using the underlying value. The CLR works out that it's an enum using information in the attribute constructor signature: [Attr(MyEnum.Val1)] 0x0001 0x00000001 0x0000 And finally, a null array, and an object array as a named argument: [Attr((Type[])null, ObjectArray = new object[] { (byte)2, typeof(decimal), null, MyEnum.Val2 })] 0x0001 0xffffffff 0x0001 0x53 SZARRAY 0x51 "ObjectArray" 0x00000004 U1 0x02 0x50 "System.Decimal" STRING 0xff 0x55 "MyEnum" 0x00000002 As you'll notice, a null object is encoded as a null string value, and a null array is represented using a length of -1 (0xffffffff). How does this affect C#? So, we can now explain why the limits on attribute arguments are so strict in C#. Attribute specification blobs are limited to basic numbers, enums, types, and arrays. As you can see, this is because the raw CLR encoding can only accommodate those types. Special byte patterns have to be used to indicate object, string, Type, or enum values in named arguments; you can't specify an arbitary object type, as there isn't a generalised way of encoding the resulting value in the specification blob. In particular, decimal values can't be encoded, as it isn't a 'built-in' CLR type that has a native representation (you'll notice that decimal constants in C# programs are compiled as several integer arguments to DecimalConstantAttribute). Jagged arrays also aren't natively supported, although you can get around it by using an array as a value to an object argument: [Attr(new object[] { new object[] { new Type[] { typeof(string) } }, 42 })] Finally... Phew! That was a bit longer than I thought it would be. Custom attribute encodings are complicated! Hopefully this series has been an informative look at what exactly goes on inside a .NET assembly. In the next blog posts, I'll be carrying on with the 'Inside Red Gate' series.

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• SQL SERVER – Beginning New Weekly Series – Memory Lane – #001

  - by pinaldave

  I am introducing a new series today.  This series is called “Memory Lane.”  From the last six years and 2,300 articles, there are fantastic articles I keep revisiting.  Sometimes when I read old blog posts I think I should have included something or added a bit more to the topic.  But for many articles, I still feel they are fantastic (even after six years) and could be read again and again. I have also found that after six years of blogging, readers will write to me and say “Pinal, why don’t you write about X, Y or Z.”  The answer is: I already did!  It is here on the blog, or in the comments, or possibly in one of my books.  The solution has always been there, it is simply a matter of finding it and presenting it again.  That is why I have created Memory Lane.  I will be listing the best articles from the same week of the past six years.  You will find plenty of reading material every Saturday from articles of SQLAuthority past. Here is the list of curetted articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2006 Query to Display Foreign Key Relationships and Name of the Constraint for Each Table in Database My blogging journey began with this blog post. As many of you know my journey began with creating a repository of my scripts. This was very first script which I had written to find out foreign key relationship and constraints. The same query was updated later on using the new SYS schema modification in SQL Server. Version 1: Using sys.schema Version 2: Using sys.schema and additional columns 2007 Milestone Posts – 1 Year (365 blogs) and 1 Million Views When I reached 1st week of Nov in 2007 SQLAuthority.com blog had around 365 blog posts and 1 Million Views. I was not obsessed with the statistics before but this was indeed an interesting moment for me as I was blogging for myself and did not realize that so many people are reading my blog. In year 2006 there were not many bloggers so blogging was new to me as well. I was learning it as I go. 2008 Stored Procedure WITH ENCRYPTION and Execution Plan If you have stored procedure and its code is encrypted when you execute it what will be displayed in the execution plan. There are two kinds of execution plans 1) Estimated and 2) Actual. It will be indeed interesting to know what is displayed in both the cases when Stored Procedure is encrypted. What is your guess? Now go ahead and click on here and figure out your answer. If the user is not able to login into SQL Server due to any error or issues there were two different blog post addresses the same issue here and here. 2009 It seems like Nov is the month of SQLPASS month. In 2009 on the same week I was in USA attending SQLPASS event. I had a fantastic experience attending the event. Here are the blog posts covering the subject Day 1, Day 2, Day 3, Day 4 2010 Finding the last backup time for all the databases This little script is very powerful and instantly gives details when was the last time your database backup performed. If you are reading this blog post – I say just go ahead and check if everything is alright on your server and you have all the necessary latest backup. It is better to be safe than sorrow. Version 1: Above script was improved to get more details about the database Version 2: This version of the script will include pretty much have all the backup related information in a single script. Do not miss to save it for future use. Are you a Database Administrator or a Database Developer? Three years ago I created a very small survey and the results which I have received are very interesting. The question was asking what is the profile of the visitor of that blog post and I noticed that DBA and Developers have balanced with little inclination towards Developers. Have you voted so far? If not, go ahead! 2011 New Book Released – SQL Server Interview Questions And Answers One year ago, on November 3, 2011 I published my book SQL Server Interview Questions and Answers.  The book has a lot of great reviews, and we have even received emails telling us this book was a life changer because it helped get them a great new job.  I don’t think anyone can get a job just from my book.  It was the individual who studied hard and took it seriously, and was determined to learn something new.  The book might have helped guide them and show them the topics to study, but they spent their own energy on it.  It was their own skills that helped them pass the exam. So, in this very first installment, I would like to thank the readers for accepting our book, for giving it great reviews and for using it and sharing it.  Our goal in writing this book was to help others, and it seems like we succeeded. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• SQL SERVER – Weekly Series – Memory Lane – #034

  - by Pinal Dave

  Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 UDF – User Defined Function to Strip HTML – Parse HTML – No Regular Expression The UDF used in the blog does fantastic task – it scans entire HTML text and removes all the HTML tags. It keeps only valid text data without HTML task. This is one of the quite commonly requested tasks many developers have to face everyday. De-fragmentation of Database at Operating System to Improve Performance Operating system skips MDF file while defragging the entire filesystem of the operating system. It is absolutely fine and there is no impact of the same on performance. Read the entire blog post for my conversation with our network engineers. Delay Function – WAITFOR clause – Delay Execution of Commands How do you delay execution of the commands in SQL Server – ofcourse by using WAITFOR keyword. In this blog post, I explain the same with the help of T-SQL script. Find Length of Text Field To measure the length of TEXT fields the function is DATALENGTH(textfield). Len will not work for text field. As of SQL Server 2005, developers should migrate all the text fields to VARCHAR(MAX) as that is the way forward. Retrieve Current Date Time in SQL Server CURRENT_TIMESTAMP, GETDATE(), {fn NOW()} There are three ways to retrieve the current datetime in SQL SERVER. CURRENT_TIMESTAMP, GETDATE(), {fn NOW()} Explanation and Comparison of NULLIF and ISNULL An interesting observation is NULLIF returns null if it comparison is successful, whereas ISNULL returns not null if its comparison is successful. In one way they are opposite to each other. Here is my question to you - How to create infinite loop using NULLIF and ISNULL? If this is even possible? 2008 Introduction to SERVERPROPERTY and example SERVERPROPERTY is a very interesting system function. It returns many of the system values. I use it very frequently to get different server values like Server Collation, Server Name etc. SQL Server Start Time We can use DMV to find out what is the start time of SQL Server in 2008 and later version. In this blog you can see how you can do the same. Find Current Identity of Table Many times we need to know what is the current identity of the column. I have found one of my developers using aggregated function MAX () to find the current identity. However, I prefer following DBCC command to figure out current identity. Create Check Constraint on Column Some time we just need to create a simple constraint over the table but I have noticed that developers do many different things to make table column follow rules than just creating constraint. I suggest constraint is a very useful concept and every SQL Developer should pay good attention to this subject. 2009 List Schema Name and Table Name for Database This is one of the blog post where I straight forward display script. One of the kind of blog posts, which I still love to read and write. Clustered Index on Separate Drive From Table Location A table devoid of primary key index is called heap, and here data is not arranged in a particular order, which gives rise to issues that adversely affect performance. Data must be stored in some kind of order. If we put clustered index on it then the order will be forced by that index and the data will be stored in that particular order. Understanding Table Hints with Examples Hints are options and strong suggestions specified for enforcement by the SQL Server query processor on DML statements. The hints override any execution plan the query optimizer might select for a query. 2010 Data Pages in Buffer Pool – Data Stored in Memory Cache One of my earlier year article, which I still read it many times and point developers to read it again. It is clear from the Resultset that when more than one index is used, datapages related to both or all of the indexes are stored in Memory Cache separately. TRANSACTION, DML and Schema Locks Can you create a situation where you can see Schema Lock? Well, this is a very simple question, however during the interview I notice over 50 candidates failed to come up with the scenario. In this blog post, I have demonstrated the situation where we can see the schema lock in database. 2011 Solution – Puzzle – Statistics are not updated but are Created Once In this example I have created following situation: Create Table Insert 1000 Records Check the Statistics Now insert 10 times more 10,000 indexes Check the Statistics – it will be NOT updated Auto Update Statistics and Auto Create Statistics for database is TRUE Now I have requested two things in the example 1) Why this is happening? 2) How to fix this issue? Selecting Domain from Email Address This is a straight to script blog post where I explain how to select only domain name from entire email address. Solution – Generating Zero Without using Any Numbers in T-SQL How to get zero digit without using any digit? This is indeed a very interesting question and the answer is even interesting. Try to come up with answer in next 10 minutes and if you can’t come up with the answer the blog post read this post for solution. 2012 Simple Explanation and Puzzle with SOUNDEX Function and DIFFERENCE Function In simple words - SOUNDEX converts an alphanumeric string to a four-character code to find similar-sounding words or names. DIFFERENCE function returns an integer value. The  integer returned is the number of characters in the SOUNDEX values that are the same. Read Only Files and SQL Server Management Studio (SSMS) I have come across a very interesting feature in SSMS related to “Read Only” files. I believe it is a little unknown feature as well so decided to write a blog about the same. Identifying Column Data Type of uniqueidentifier without Querying System Tables How do I know if any table has a uniqueidentifier column and what is its value without using any DMV or System Catalogues? Only information you know is the table name and you are allowed to return any kind of error if the table does not have uniqueidentifier column. Read the blog post to find the answer. Solution – User Not Able to See Any User Created Object in Tables – Security and Permissions Issue Interesting question – “When I try to connect to SQL Server, it lets me connect just fine as well let me open and explore the database. I noticed that I do not see any user created instances but when my colleague attempts to connect to the server, he is able to explore the database as well see all the user created tables and other objects. Can you help me fix it?” Importing CSV File Into Database – SQL in Sixty Seconds #018 – Video Here is interesting small 60 second video on how to import CSV file into Database. ColumnStore Index – Batch Mode vs Row Mode Here is the logic behind when Columnstore Index uses Batch Mode and when it uses Row Mode. A batch typically represents about 1000 rows of data. Batch mode processing also uses algorithms that are optimized for the multicore CPUs and increased memory throughput. Follow up – Usage of $rowguid and $IDENTITY This is an excellent follow up blog post of my earlier blog post where I explain where to use $rowguid and $identity.  If you do not know the difference between them, this is a blog with a script example. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Database Owner Conundrum

  - by Johnm

  Have you ever restored a database from a production environment on Server A into a development environment on Server B and had some items, such as Service Broker, mysteriously cease functioning? You might want to consider reviewing the database owner property of the database. The Scenario Recently, I was developing some messaging functionality that utilized the Service Broker feature of SQL Server in a development environment. Within the instance of the development environment resided two databases: One was a restored version of a production database that we will call "RestoreDB". The second database was a brand new database that has yet to exist in the production environment that we will call "DevDB". The goal is to setup a communication path between RestoreDB and DevDB that will later be implemented into the production database. After implementing all of the Service Broker objects that are required to communicate within a database as well as between two databases on the same instance I found myself a bit confounded. My testing was showing that the communication was successful when it was occurring internally within DevDB; but the communication between RestoreDB and DevDB did not appear to be working. Profiler to the rescue After carefully reviewing my code for any misspellings, missing commas or any other minor items that might be a syntactical cause of failure, I decided to launch Profiler to aid in the troubleshooting. After simulating the cross database messaging, I noticed the following error appearing in Profiler: An exception occurred while enqueueing a message in the target queue. Error: 33009, State: 2. The database owner SID recorded in the master database differs from the database owner SID recorded in database '[Database Name Here]'. You should correct this situation by resetting the owner of database '[Database Name Here]' using the ALTER AUTHORIZATION statement. Now, this error message is a helpful one. Not only does it identify the issue in plain language, it also provides a potential solution. An execution of the following query that utilizes the catalog view sys.transmission_queue revealed the same error message for each communication attempt: SELECT     * FROM        sys.transmission_queue; Seeing the situation as a learning opportunity I dove a bit deeper. Reviewing the database properties  The owner of a specific database can be easily viewed by right-clicking the database in SQL Server Management Studio and selecting the "properties" option. The owner is listed on the "General" page of the properties screen. In my scenario, the database in the production server was created by Frank the DBA; therefore his server login appeared as the owner: "ServerName\Frank". While this is interesting information, it certainly doesn't tell me much in regard to the SID (security identifier) and its existence, or lack thereof, in the master database as the error suggested. I pulled together the following query to gather more interesting information: SELECT     a.name     , a.owner_sid     , b.sid     , b.name     , b.type_desc FROM        master.sys.databases a     LEFT OUTER JOIN master.sys.server_principals b         ON a.owner_sid = b.sid WHERE     a.name not in ('master','tempdb','model','msdb'); This query also helped identify how many other user databases in the instance were experiencing the same issue. In this scenario, I saw that there were no matching SIDs in server_principals to the owner SID for my database. What login should be used as the database owner instead of Frank's? The system stored procedure sp_helplogins will provide a list of the valid logins that can be used. Here is an example of its use, revealing all available logins: EXEC sp_helplogins;  Fixing a hole The error message stated that the recommended solution was to execute the ALTER AUTHORIZATION statement. The full statement for this scenario would appear as follows: ALTER AUTHORIZATION ON DATABASE:: [Database Name Here] TO [Login Name]; Another option is to execute the following statement using the sp_changedbowner system stored procedure; but please keep in mind that this stored procedure has been deprecated and will likely disappear in future versions of SQL Server: EXEC dbo.sp_changedbowner @loginname = [Login Name]; .And They Lived Happily Ever After Upon changing the database owner to an existing login and simulating the inner and cross database messaging the errors have ceased. More importantly, all messages sent through this feature now successfully complete their journey. I have added the ownership change to my restoration script for the development environment.

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• Can Google Employees See My Saved Google Chrome Passwords?

  - by Jason Fitzpatrick

  Storing your passwords in your web browser seems like a great time saver, but are the passwords secure and inaccessible to others (even employees of the browser company) when squirreled away? Today’s Question & Answer session comes to us courtesy of SuperUser—a subdivision of Stack Exchange, a community-driven grouping of Q&A web sites. The Question SuperUser reader MMA is curious if Google employees have (or could have) access to the passwords he stores in Google Chrome: I understand that we are really tempted to save our passwords in Google Chrome. The likely benefit is two fold, You don’t need to (memorize and) input those long and cryptic passwords. These are available wherever you are once you log in to your Google account. The last point sparked my doubt. Since the password is available anywhere, the storage must in some central location, and this should be at Google. Now, my simple question is, can a Google employee see my passwords? Searching over the Internet revealed several articles/messages. Do you save passwords in Chrome? Maybe you should reconsider: Talks about your passwords being stolen by someone who has access to your computer account. Nothing mentioned about the central storage security and vulnerability. There is even a response from Chrome browser security tech lead about the first issue. Chrome’s insane password security strategy: Mostly along the same line. You can steal password from somebody if you have access to the computer account. How to Steal Passwords Saved in Google Chrome in 5 Simple Steps: Teaches you how to actually perform the act mentioned in the previous two when you have access to somebody else’s account. There are many more (including this one at this site), mostly along the same line, points, counter-points, huge debates. I refrain from mentioning them here, simply carry a search if you want to find them. Coming back to my original query, can a Google employee see my password? Since I can view the password using a simple button, definitely they can be unhashed (decrypted) even if encrypted. This is very different from the passwords saved in Unix-like OS’s where the saved password can never be seen in plain text. They use a one-way encryption algorithm to encrypt your passwords. This encrypted password is then stored in the passwd or shadow file. When you attempt to login, the password you type in is encrypted again and compared with the entry in the file that stores your passwords. If they match, it must be the same password, and you are allowed access. Thus, a superuser can change my password, can block my account, but he can never see my password. So are his concerns well founded or will a little insight dispel his worry? The Answer SuperUser contributor Zeel helps put his mind at ease: Short answer: No* Passwords stored on your local machine can be decrypted by Chrome, as long as your OS user account is logged in. And then you can view those in plain text. At first this seems horrible, but how did you think auto-fill worked? When that password field gets filled in, Chrome must insert the real password into the HTML form element – or else the page wouldn’t work right, and you could not submit the form. And if the connection to the website is not over HTTPS, the plain text is then sent over the internet. In other words, if chrome can’t get the plain text passwords, then they are totally useless. A one way hash is no good, because we need to use them. Now the passwords are in fact encrypted, the only way to get them back to plain text is to have the decryption key. That key is your Google password, or a secondary key you can set up. When you sign into Chrome and sync the Google servers will transmit the encrypted passwords, settings, bookmarks, auto-fill, etc, to your local machine. Here Chrome will decrypt the information and be able to use it. On Google’s end all that info is stored in its encrpyted state, and they do not have the key to decrypt it. Your account password is checked against a hash to log in to Google, and even if you let chrome remember it, that encrypted version is hidden in the same bundle as the other passwords, impossible to access. So an employee could probably grab a dump of the encrypted data, but it wouldn’t do them any good, since they would have no way to use it.* So no, Google employees can not** access your passwords, since they are encrypted on their servers. * However, do not forget that any system that can be accessed by an authorized user can be accessed by an unauthorized user. Some systems are easier to break than other, but none are fail-proof. . . That being said, I think I will trust Google and the millions they spend on security systems, over any other password storage solution. And heck, I’m a wimpy nerd, it would be easier to beat the passwords out of me than break Google’s encryption. ** I am also assuming that there isn’t a person who just happens to work for Google gaining access to your local machine. In that case you are screwed, but employment at Google isn’t actually a factor any more. Moral: Hit Win + L before leaving machine. While we agree with zeel that it’s a pretty safe bet (as long as your computer is not compromised) that your passwords are in fact safe while stored in Chrome, we prefer to encrypt all our logins and passwords in a LastPass vault. Have something to add to the explanation? Sound off in the the comments. Want to read more answers from other tech-savvy Stack Exchange users? Check out the full discussion thread here.     

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• Dynamic Class Inheritance For PHP

  - by VirtuosiMedia

  I have a situation where I think I might need dynamic class inheritance in PHP 5.3, but the idea doesn't sit well and I'm looking for a different design pattern to solve my problem if it's possible. Use Case I have a set of DB abstraction layer classes that dynamically compiles SQL queries, with one DAL class for each DB type (MySQL, MsSQL, Oracle, etc.). Each table in the database has its own class that extends the appropriate DAL class. The idea is that you interact with the table classes, but never directly use the DAL class. If you want to support a different DB type for your app, you don't need to rewrite any queries or even any code, you simply change a setting that swaps one DAL class out for another...and that's it. To give you a better idea of how this is used, you can take a look at the DAL class, the table classes, and how they are used on this StackExchange Code Review page. To really understand what I'm trying to do, please take a look at my implementation first before suggesting a solution. Issues The strategy that I had used previously was to have all of the DAL classes share the same class name. This eliminated autoloading, so I had to manually load the appropriate DAL class in a switch statement. However, this approach presents some problems for testing and documentation purposes, so I'd like to find a different way to solve the problem of loading the correct DAL class more elegantly. Update to clarify the issue The problem basically boils down to inconsistencies in the class name (pre-PHP 5.3) or class namespace (PHP 5.3) and its location in the directory structure. At this point, all of my DAL classes have the same name, DBObject, but reside in different folders, MySQL, Oracle, etc. My table classes all extend DBObject, but which DBObject they extend varies depending on which one has been loaded. Basically, I'm trying to have my cake and eat it too. The table classes act as a stable API and extend a dynamic backend, the DAL (DBObject) classes. It works great, but I outsmarted myself and because of the inconsistencies with the class names and their locations, I can't autoload the DBObject, which makes running unit tests and generating API docs impossible for the DBObject classes because the tests and docs rely on auto-loading. Just loading the appropriate DBObject into memory using a factory method won't work because there will be times when I need to load multiple DBObjects for testing. Because the classes currently share a name, this causes a class is already defined error. I can make exceptions for the DBObjects in my test code, obviously, but I'm looking for something a little less hacky as there may future instances where something similar would need to be done. Solutions? Worst case scenario, I can continue my current strategy, but I don't like it very much, especially as I'll soon be converting my code to PHP 5.3. I suspect that I can use some sort of dynamic inheritance via either namespaces (preferred) or a dynamic class extension, but I haven't been able to find good examples of this implemented in the wild. In your answers, please suggest either an alternate pattern that would work for this use case or an example of dynamic inheritance done right. Please assume PHP 5.3 with namespaced code. Any code examples are greatly encouraged. The preferred constraints for the solution are: DAL class can be autoloaded. DAL classes don't share the same exact same namespace, but share the same class name. As an example, I would prefer to use classes named DbObject that use namespaces like Vm\Db\MySql and Vm\Db\Oracle. Table classes don't have to be rewritten with a change in DB type. The appropriate DB type is determined via a single setting only. That setting is the only thing that should need to change to interchange DB types. Ideally, the setting check should occur only once per page load, but I'm flexible on that.

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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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• SQL SERVER – Another lesser known feature of SQL Server Management Studio 2012 – Guest Post by Balmukund Lakhani

  - by Pinal Dave

  This is a fantastic blog post from my dear friend Balmukund ( blog | twitter | facebook ). He had presented a fantastic session in our last UG and there were lots of requests from attendees that he blogs about it. Well, here is the blog post about the same very popular UG session. Let us read the entire blog post in the voice of the Balmukund himself. In one of my previous guest blog on SQL Authority, I wrote about “Additional Connection Parameter” tab of login screen in SQL Server Management Studio (a.k.a. SSMS). On the similar lines, this blog is going to show little less known new feature of login main screen (“Connect to Server”) of SSMS 2012. You might have seen below screen countless times and you might wonder what is there is blog about in this simple screen. Well, continue reading and you would get the answer. Many times, DBA have to login to production server from non-regular machine, may be a developer’s workstation. Once you login to SQL, do your work and close the management studio. Do you know that your server name is saved in management studio? Of course, very useful feature because you may not like to type server name/IP address every time. Whatever servers you have connected, it would be stored by management studio. But sometime, it’s annoying! What you would do if you want SQL Server Management Studio to forget “all” the servers listed in drop down of Server name? To do that, you need to know how and where it’s stored. You can use one of my favorite tool from sysinternals called Process Monitor (also known as ProcMon) and easily figure out that this is stored in a file under your windows user profile. Below is the file in SQL 2008 R2 Management Studio. %appdata%\Microsoft\Microsoft SQL Server\100\Tools\Shell\SqlStudio.bin For SQL Server 2012, here is what we can see in ProcMon So, the path is %appdata%\Microsoft\Microsoft SQL Server\110\Tools\Shell\SqlStudio.bin So far, you might wonder, where is the new feature? I have been asked by many users to delete entries from SSMS “Connect to Server” server name list. Well, unofficially, you can delete the file directly which we found via ProcMon. Note that delete file to get rid of server list is not officially supported by Microsoft. Better way to achieve this is provided in SSMS 2012. To delete the servers from the list, highlight the name we want to delete (via keyboard or mouse) and then press delete key via keyboard. We can’t be multi-select and has to be done one by one. We can delete as many entries we want. I have delete few from first screenshot taken and here is the modified version. This is not available in SQL 2008 R2 and its previous version. This came from feedback given to SQL Server Product group. Hope you have learned something new today! Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology

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• Big Data – Data Mining with Hive – What is Hive? – What is HiveQL (HQL)? – Day 15 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the operational database in Big Data Story. In this article we will understand what is Hive and HQL in Big Data Story. Yahoo started working on PIG (we will understand that in the next blog post) for their application deployment on Hadoop. The goal of Yahoo to manage their unstructured data. Similarly Facebook started deploying their warehouse solutions on Hadoop which has resulted in HIVE. The reason for going with HIVE is because the traditional warehousing solutions are getting very expensive. What is HIVE? Hive is a datawarehouseing infrastructure for Hadoop. The primary responsibility is to provide data summarization, query and analysis. It  supports analysis of large datasets stored in Hadoop’s HDFS as well as on the Amazon S3 filesystem. The best part of HIVE is that it supports SQL-Like access to structured data which is known as HiveQL (or HQL) as well as big data analysis with the help of MapReduce. Hive is not built to get a quick response to queries but it it is built for data mining applications. Data mining applications can take from several minutes to several hours to analysis the data and HIVE is primarily used there. HIVE Organization The data are organized in three different formats in HIVE. Tables: They are very similar to RDBMS tables and contains rows and tables. Hive is just layered over the Hadoop File System (HDFS), hence tables are directly mapped to directories of the filesystems. It also supports tables stored in other native file systems. Partitions: Hive tables can have more than one partition. They are mapped to subdirectories and file systems as well. Buckets: In Hive data may be divided into buckets. Buckets are stored as files in partition in the underlying file system. Hive also has metastore which stores all the metadata. It is a relational database containing various information related to Hive Schema (column types, owners, key-value data, statistics etc.). We can use MySQL database over here. What is HiveSQL (HQL)? Hive query language provides the basic SQL like operations. Here are few of the tasks which HQL can do easily. Create and manage tables and partitions Support various Relational, Arithmetic and Logical Operators Evaluate functions Download the contents of a table to a local directory or result of queries to HDFS directory Here is the example of the HQL Query: SELECT upper(name), salesprice FROM sales; SELECT category, count(1) FROM products GROUP BY category; When you look at the above query, you can see they are very similar to SQL like queries. Tomorrow In tomorrow’s blog post we will discuss about very important components of the Big Data Ecosystem – Pig. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Certify October Updates

  - by Sadia2

  Normal 0 false false false EN-US X-NONE X-NONE We have added some release and platform certifications to MOS Certify. Applications: Oracle Demantra 12.2.2 Collaboration Technologies: Oracle On Track Communication 1.0.0.0.0 Database : Oracle Database 11.2.0.4.0, Oracle Database Client 11.2.0.4.0, 11.2.0.3.0, Oracle Clusterware 12.1.0.1.0, 11.2.0.4.0, Oracle Real Application Clusters 12.1.0.1.0, 11.2.0.4.0, Oracle TimesTen In-Memory Database 11.2.2.5.0, Oracle Audit Vault and Database Firewall 12.1.1.0.0, Oracle Database Client 10.2.0.5, Oracle Secure Enterprise Search 11.2.2.2.0 E-Business Suite: Oracle E-Business Suite 12.2.2, 12.1.3, 12.1.2, 12.1.1, 12.0.4, 11.5.10.2, 11.5.9.2 Edge Applications: Oracle Transportation Management 6.3.2 Enterprise Manager: Enterprise Manager Base Platform – OMS 12.1.0.3.0 FSGBU Insurance Group: Oracle Health Insurance Back Office 10.13.2.0.0 Fusion Middleware: Oracle Application Development Framework 11.1.1.6.0, Oracle Business Intelligence Enterprise Edition 11.1.1.7.0, Oracle BI Answers 11.1.1.7.0, Oracle BI Composer 11.1.1.7.0, Oracle BI Presentation Services 11.1.1.7.0, Oracle BI Delivers 11.1.1.7.0, Oracle BI Interactive Dashboards 11.1.1.7.0, Oracle BI Scorecard and Strategy Management 11.1.1.7.0, Oracle BI Catalog Manager 11.1.1.7.0, Oracle BI Search 11.1.1.7.0, Oracle BIP Enterprise 11.1.1.7.0, Oracle BIP Scheduler 11.1.1.7.0, Oracle Real-Time Decision Center 11.1.1.7.0, Oracle Segmentation Server 11.1.1.7.0, Oracle JRE 1.7.0_45, 1.7.0_40, 1.7.0_25, 1.7.0_21, 1.7.0_17, 1.7.0_15, 1.7.0_13, 1.7.0_11, 1.7.0_10, 1.6.0_65, 1.6.0_26, Oracle JDK 1.7.0_45, 1.7.0_25, 1.7.0_17, 1.7.0_15, 1.7.0_13, 1.7.0_11, 1.6.0_65, 1.6.0_41, 1.6.0_26, Oracle Discoverer 11.1.1.7.0, 11.1.1.6.0, Discoverer Administrator 11.1.1.7.0, 11.1.1.6.0, Discoverer Desktop 11.1.1.7.0, 11.1.1.6.0, Oracle GoldenGate 12.1.2.0.0, Oracle GoldenGate Director 12.1.2.0.0, Java 1.7.0_10, Oracle Fusion Middleware 12.1.2.0.0, Oracle Data Integrator Agent 12.1.2.0.0, Oracle Data Integrator Studio 12.1.2.0.0, Oracle Data Integrator Console 12.1.2.0.0 JD Edwards EnterpriseOne: JD Edwards EnterpriseOne Enterprise Server 9.1.3.0, JD Edwards EnterpriseOne One View Reporting 9.1.3.0, JD Edwards EnterpriseOne Mobile Applications 9.0.2.0, 9.0.0.0, 9.1.2.0, JD Edwards EnterpriseOne for iPad 1.0.0.0 Linux & Server Virtualization (x86): Oracle VM Server for x86 3.2.6.0.0, 3.2.4.0.0, 3.2.3.0.0, 3.2.2.0.0, 3.2.1.0.0 MySQL: MySQL Database Server 5.6, 5.5, MySQL Cluster 7.3, 7.2, 7.1 Oracle Fusion Applications : Oracle Fusion Applications 11.1.7.0.0, 11.1.6.0.0, 11.1.5.0.0, 11.1.4.0.0 PeopleSoft: PeopleSoft PeopleTools 8.53, 8.52, 8.51, 8.5 Primavera GBU: Primavera Project Portfolio Mgmt 6.2.1, Primavera P6 Enterprise Project Portfolio Management 8.3.0.0.0 Siebel Enterprise: Siebel Application Server 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Database Server 8.2.2.4.0, 8.1.1.11.0 Siebel Web Server Extension 8.1.1.10.0 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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• Data Security Through Structure, Procedures, Policies, and Governance

  Security Structure and Procedures One of the easiest ways to implement security is through the use of structure, in particular the structure in which data is stored. The preferred method for this through the use of User Roles, these Roles allow for specific access to be granted based on what role a user plays in relation to the data that they are manipulating. Typical data access actions are defined by the CRUD Principle. CRUD Principle: Create New Data Read Existing Data Update Existing Data Delete Existing Data Based on the actions assigned to a role assigned, User can manipulate data as they need to preform daily business operations.  An example of this can be seen in a hospital where doctors have been assigned Create, Read, Update, and Delete access to their patient’s prescriptions so that a doctor can prescribe and adjust any existing prescriptions as necessary. However, a nurse will only have Read access on the patient’s prescriptions so that they will know what medicines to give to the patients. If you notice, they do not have access to prescribe new prescriptions, update or delete existing prescriptions because only the patient’s doctor has access to preform those actions. With User Roles comes responsibility, companies need to constantly monitor data access to ensure that the proper roles have the most appropriate access levels to ensure users are not exposed to inappropriate data.  In addition this also protects rouge employees from gaining access to critical business information that could be destroyed, altered or stolen. It is important that all data access is monitored because of this threat. Security Governance Current Data Governance laws regarding security Health Insurance Portability and Accountability Act (HIPAA) Sarbanes-Oxley Act Database Breach Notification Act The US Department of Health and Human Services defines HIIPAA as a Privacy Rule. This legislation protects the privacy of individually identifiable health information. Currently, HIPAA   sets the national standards for securing electronically protected health records. Additionally, its confidentiality provisions protect identifiable information being used to analyze patient safety events and improve patient safety. In 2002 after the wake of the Enron and World Com Financial scandals Senator Paul Sarbanes and Representative Michael Oxley lead the creation of the Sarbanes-Oxley Act. This act administered by the Securities and Exchange Commission (SEC) dramatically altered corporate financial practices and data governance. In addition, it also set specific deadlines for compliance. The Sarbanes-Oxley is not a set of standard business rules and does not specify how a company should retain its records; In fact, this act outlines which pieces of data are to be stored as well as the storage duration. The Database Breach Notification Act requires companies, in the event of a data breach containing personally identifiable information, to notify all California residents whose information was stored on the compromised system at the time of the event, according to Gregory Manter. He further explains that this act is only California legislation. However, it does affect “any person or business that conducts business in California, and that owns or licenses computerized data that includes personal information,” regardless of where the compromised data is located.  This will force any business that maintains at least limited interactions with California residents will find themselves subject to the Act’s provisions. Security Policies All companies must work in accordance with the appropriate city, county, state, and federal laws. One way to ensure that a company is legally compliant is to enforce security policies that adhere to the appropriate legislation in their area or areas that they service. These types of polices need to be mandated by a company’s Security Officer. For smaller companies, these policies need to come from executives, Directors, and Owners.

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• Oracle EMEA News Digest - May 2014

  - by Steve Walker

  Systems Oracle introduced a technology preview of an OpenStack® distribution that allows Oracle Linux and Oracle VM users to work with the open source cloud software. This provides customers with additional choices and interoperability while taking advantage of the efficiency, performance, scalability, and security of Oracle Linux and Oracle VM. The distribution is delivered as part of the Oracle Linux and Oracle VM Premier Support offerings, at no additional cost. Oracle plans to work further with the OpenStack community to develop and enhance its enterprise-class capabilities to meet customer demands. Also in the Open Source arena, Oracle announced the general availability of MySQL Fabric. MySQL Fabric provides an integrated system that makes it simpler to manage groups of MySQL databases. It delivers both high availability - via failure detection and failover - and scalability through automated data sharding. Oracle Database, Middleware and Technology The company made two announcements for Oracle Tuxedo, the #1 application server for C, C++, COBOL and Java deployments in private cloud or traditional data center environments. With enhanced management and monitoring features and tighter integration with Oracle technologies, the latest release of Oracle Tuxedo 12c enables organizations to dramatically increase application throughput, while reducing total cost of ownership and time to market for new application development and deployment. Oracle also introduced the latest release of its mainframe application rehosting platform, Oracle Tuxedo ART 12c, to help organizations speed up migration projects and accelerate the adoption of the new environment by current IT staff. It enables organizations to accelerate the rehosting of IBM mainframe applications and greatly enhance management and supportability of the rehosted applications while reducing costs and risk. Applications According to new Oracle studies, B2B and B2C commerce professionals find integrated, omni-channel customer experiences increasingly valuable to their organizations, and are continuing to invest in technologies and digital content strategies to facilitate them. The studies—one for B2B and one for B2C—surveyed e-commerce professionals in business and technology departments from around the world. Although the priorities, success metrics, and technology investments differed between the two groups, customer acquisition and retention emerged as common themes across B2B and B2C. Growing market share and enhancing customer experience are cited as top investment areas for all e-commerce professionals. In product news, Oracle announced the latest release of Oracle Business Intelligence (BI) Applications (version 11.1.1.8.1, in case anyone asks). It includes prebuilt connectors between Oracle Procurement and Spend Analytics and Oracle’s JD Edwards. Additionally, a new Oracle Human Resources Analytics module for developing and maintaining a skilled workforce has been introduced. In use at more than 4,000 companies worldwide, Oracle BI Applications support leading enterprise applications, including Oracle E-Business Suite, Oracle’s PeopleSoft, Oracle's Siebel CRM, Oracle’s JD Edwards EnterpriseOne offering high-performing analytics at a lower cost. Industries For the Communications Industry, Oracle has launched a new release of the Oracle Communications Core Session Manager. This gives CSPs a new way to design, deploy and manage complex networking services and embrace next-generation technology, It provides them with an immediate entry point for  network function virtualization (NFV) efforts, allowing them to realize immediate benefits associated with network virtualization – including increased service agility and improved network resource sharing. And for the Utilities Industry, Oracle is releasing solutions with new business features and enhanced technical architecture that help position utilities for success now and into the future. Oracle has provided new releases for its customer information system,  meter data management system, customer self-service solution and mobile workforce management solution.

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• How views are changing in future versions of SQL

  - by Rob Farley

  April is here, and this weekend, SQL v11.0 (previous known as Denali, now known as SQL Server 2012) reaches general availability. And so I thought I’d share some news about what’s coming next. I didn’t hear this at the MVP Summit earlier this year (where there was lots of NDA information given, but I didn’t go), so I think I’m free to share it. I’ve written before about CTEs being query-scoped views. Well, the actual story goes a bit further, and will continue to develop in future versions. A CTE is a like a “temporary temporary view”, scoped to a single query. Due to globally-scoped temporary objects using a two-hashes naming style, and session-scoped (or ‘local’) temporary objects a one-hash naming style, this query-scoped temporary object uses a cunning zero-hash naming style. We see this implied in Books Online in the CREATE TABLE page, but as we know, temporary views are not yet supported in the SQL Server. However, in a breakaway from ANSI-SQL, Microsoft is moving towards consistency with their naming. We know that a CTE is a “common table expression” – this is proving to be a more strategic than you may have appreciated. Within the Microsoft product group, the term “Table Expression” is far more widely used than just CTEs. Anything that can be used in a FROM clause is referred to as a Table Expression, so long as it doesn’t actually store data (which would make it a Table, rather than a Table Expression). You can see this is not just restricted to the product group by doing an internet search for how the term is used without ‘common’. In the past, Books Online has referred to a view as a “virtual table” (but notice that there is no SQL 2012 version of this page). However, it was generally decided that “virtual table” was a poor name because it wasn’t completely accurate, and it’s typically accepted that virtualisation and SQL is frowned upon. That page I linked to says “or stored query”, which is slightly better, but when the SQL 2012 version of that page is actually published, the line will be changed to read: “A view is a stored table expression (STE)”. This change will be the first of many. During the SQL 2012 R2 release, the keyword VIEW will become deprecated (this will be SQL v11 SP1.5). Three versions later, in SQL 14.5, you will need to be in compatibility mode 140 to allow “CREATE VIEW” to work. Also consistent with Microsoft’s deprecation policy, the execution of any query that refers to an object created as a view (rather than the new “CREATE STE”), will cause a Deprecation Event to fire. This will all be in preparation for the introduction of Single-Column Table Expressions (to be introduced in SQL 17.3 SP6) which will finally shut up those people waiting for a decent implementation of Inline Scalar Functions. And of course, CTEs are “Common” because the Table Expression definition needs to be repeated over and over throughout a stored procedure. ...or so I think I heard at some point. Oh, and congratulations to all the new MVPs on this April 1st. @rob_farley

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• Organization &amp; Architecture UNISA Studies &ndash; Chap 6

  - by MarkPearl

  Learning Outcomes Discuss the physical characteristics of magnetic disks Describe how data is organized and accessed on a magnetic disk Discuss the parameters that play a role in the performance of magnetic disks Describe different optical memory devices Magnetic Disk The way data is stored on and retried from magnetic disks Data is recorded on and later retrieved form the disk via a conducting coil named the head (in many systems there are two heads) The writ mechanism exploits the fact that electricity flowing through a coil produces a magnetic field. Electric pulses are sent to the write head, and the resulting magnetic patterns are recorded on the surface below with different patterns for positive and negative currents The physical characteristics of a magnetic disk   Summarize from book   The factors that play a role in the performance of a disk Seek time – the time it takes to position the head at the track Rotational delay / latency – the time it takes for the beginning of the sector to reach the head Access time – the sum of the seek time and rotational delay Transfer time – the time it takes to transfer data RAID The rate of improvement in secondary storage performance has been considerably less than the rate for processors and main memory. Thus secondary storage has become a bit of a bottleneck. RAID works on the concept that if one disk can be pushed so far, additional gains in performance are to be had by using multiple parallel components. Points to note about RAID… RAID is a set of physical disk drives viewed by the operating system as a single logical drive Data is distributed across the physical drives of an array in a scheme known as striping Redundant disk capacity is used to store parity information, which guarantees data recoverability in case of a disk failure (not supported by RAID 0 or RAID 1) Interesting to note that the increase in the number of drives, increases the probability of failure. To compensate for this decreased reliability RAID makes use of stored parity information that enables the recovery of data lost due to a disk failure.   The RAID scheme consists of 7 levels…   Category Level Description Disks Required Data Availability Large I/O Data Transfer Capacity Small I/O Request Rate Striping 0 Non Redundant N Lower than single disk Very high Very high for both read and write Mirroring 1 Mirrored 2N Higher than RAID 2 – 5 but lower than RAID 6 Higher than single disk Up to twice that of a signle disk for read Parallel Access 2 Redundant via Hamming Code N + m Much higher than single disk Highest of all listed alternatives Approximately twice that of a single disk Parallel Access 3 Bit interleaved parity N + 1 Much higher than single disk Highest of all listed alternatives Approximately twice that of a single disk Independent Access 4 Block interleaved parity N + 1 Much higher than single disk Similar to RAID 0 for read, significantly lower than single disk for write Similar to RAID 0 for read, significantly lower than single disk for write Independent Access 5 Block interleaved parity N + 1 Much higher than single disk Similar to RAID 0 for read, lower than single disk for write Similar to RAID 0 for read, generally  lower than single disk for write Independent Access 6 Block interleaved parity N + 2 Highest of all listed alternatives Similar to RAID 0 for read; lower than RAID 5 for write Similar to RAID 0 for read, significantly lower than RAID 5  for write   Read page 215 – 221 for detailed explanation on RAID levels Optical Memory There are a variety of optical-disk systems available. Read through the table on page 222 – 223 Some of the devices include… CD CD-ROM CD-R CD-RW DVD DVD-R DVD-RW Blue-Ray DVD Magnetic Tape Most modern systems use serial recording – data is lade out as a sequence of bits along each track. The typical recording used in serial is referred to as serpentine recording. In this technique when data is being recorded, the first set of bits is recorded along the whole length of the tape. When the end of the tape is reached the heads are repostioned to record a new track, and the tape is again recorded on its whole length, this time in the opposite direction. That process continued back and forth until the tape is full. To increase speed, the read-write head is capable of reading and writing a number of adjacent tracks simultaneously. Data is still recorded serially along individual tracks, but blocks in sequence are stored on adjacent tracks as suggested. A tape drive is a sequential access device. Magnetic tape was the first kind of secondary memory. It is still widely used as the lowest-cost, slowest speed member of the memory hierarchy.

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• UPOS RFIDScanner data format

  - by Robert Snyder

  A lot of work that I do currently is based in the OPOS/UPOS world. My company has a device that can read 13.56Mhz tags (RFID), Smart Cards, and Mag Stripe cards. Up until somewhat recently I have only been working with RFID for a very specific scenario. That was to read UltraLight C and Desfire cards. These cards were all setup very specifically so that I could take the data read from those cards and force it into a MSR track2 format. The past couple of weeks, however, I have been working on reading RFID credit cards (since I have a Visa card I've been using mine), and Smart Card credit cards. (The visa card I have has both) In learning how to communicate with SmartCard and reading ISO7816 and EMVCO documents I became a little more familiar with how info is stored. But now I have a question regarding UPOS. The RFID data on my Visa is stored (and read) very similar to how the data is stored and read from the Smart Card on my Visa. Cool. Well in the UPOS spec for SmartCardRW the ReadData method returns a byte array. That's cool, I can just return all that data and then parse it as my heart desires. The RFID though has a LinkedList of Tags. Well this makes sense in terms of my Visa card (reminds me of a question I have in regards to SmartCard, but that is for another question) but what about ULC and Desfire, or for that matter any Mifare card. Pages, Files, Purses don't exactly fit the Tag profile. For instance lets just say I read pages 4-12 on my ULC card. Each page I read is 4 bytes long. Does this mean I have 9 tags in my LinkedList? Is my Tag id the page number? Or then how does that translate to Desfire? I open application 123456 and read file 1 and file 2, Do I have 2 tags? and if so what is my tag id? At least with my Visa I think that I have to use the Tag id (ex 5F24 for my expiration date) and value of {0x15, 0x10, 0x31} Part of me says yes..that makes sense. Another part of me says, "well if that is the case then why doesn't SmartCardRW have Tags?" So that is my question. How do I format my data from those different types of media? or is that the job of my Control Object (the application)? Is so how does it know? The only protocols I have are: // Summary: // Enumerates the available predefined RFID tag protocols the device supports. [Flags] public enum RFIDProtocols { EpcClass0 = 1, RFIDSdt0Plus = 2, EpcClass1 = 4, EpcClass1Gen2 = 8, EpcClass2 = 16, Iso14443A = 4096, Iso14443B = 8192, Iso15693 = 12288, Iso180006B = 16384, Other = 16777216, All = 1073741824, } If I use that well all of my cards that I have are all Iso14443A. I use the ATQA and the SAK to know what type of card I really have. There is no RFID property that lets me specify that. So I'm lost.

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• Cloud – the forecast is improving

  - by Rob Farley

  There is a lot of discussion about “the cloud”, and how that affects people’s data stories. Today the discussion enters the realm of T-SQL Tuesday, hosted this month by Jorge Segarra. Over the years, companies have invested a lot in making sure that their data is good, and I mean every aspect of it – the quality of it, the security of it, the performance of it, and more. Experts such as those of us at LobsterPot Solutions have helped these companies with this, and continue to work with clients to make sure that data is a strong part of their business, not an oversight. Whether business intelligence systems are being utilised or not, every business needs to be able to rely on its data, and have the confidence in it. Data should be a foundation upon which a business is built. In the past, data had been stored in paper-based systems. Filing cabinets stored vital information. Today, people have server rooms with storage of various kinds, recognising that filing cabinets don’t necessarily scale particularly well. It’s easy to ‘lose’ data in a filing cabinet, when you have people who need to make sure that the sheets of paper are in the right spot, and that you know how things are stored. Databases help solve that problem, but still the idea of a large filing cabinet continues, it just doesn’t involve paper. If something happens to the physical ‘filing cabinet’, then the problems are larger still. Then the data itself is under threat. Many clients have generators in case the power goes out, redundant cables in case the connectivity dies, and spare servers in other buildings just in case they’re required. But still they’re maintaining filing cabinets. You see, people like filing cabinets. There’s something to be said for having your data ‘close’. Even if the data is not in readable form, living as bits on a disk somewhere, the idea that its home is ‘in the building’ is comforting to many people. They simply don’t want to move their data anywhere else. The cloud offers an alternative to this, and the human element is an obstacle. By leveraging the cloud, companies can have someone else look after their filing cabinet. A lot of people really don’t like the idea of this, partly because the administrators of the data, those people who could potentially log in with escalated rights and see more than they should be allowed to, who need to be trusted to respond if there’s a problem, are now a faceless entity in the cloud. But this doesn’t mean that the cloud is bad – this is simply a concern that some people may have. In new functionality that’s on its way, we see other hybrid mechanisms that mean that people can leverage parts of the cloud with less fear. Companies can use cloud storage to hold their backup data, for example, backups that have been encrypted and are therefore not able to be read by anyone (including administrators) who don’t have the right password. Companies can have a database instance that runs locally, but which has its data files in the cloud, complete with Transparent Data Encryption if needed. There can be a higher level of control, making the change easier to accept. Hybrid options allow people who have had fears (potentially very justifiable) to take a new look at the cloud, and to start embracing some of the benefits of the cloud (such as letting someone else take care of storage, high availability, and more) without losing the feeling of the data being close. @rob_farley

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