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    public by cghersi  3360  3  6  4

    Change the location of MS SQL Server database files

    When you start playing with serious DB, one of the most important parts is to place (if possible) the files in different drives (physical, not only logical partitions!!!). But what if you already have your DB in production with tons of data on the same location? This script helps in solving the issue. It should be executed in three steps: 1) p
    -- 1) Execute this first chunk to put the DB offline
    ALTER DATABASE MyDBName SET SINGLE_USER WITH ROLLBACK IMMEDIATE;
    ALTER DATABASE MyDBName SET OFFLINE;
    ALTER DATABASE MyDBName MODIFY FILE 
    (
       Name = MyDBName_Data,
       Filename = 'D:\DB\MyDBName.mdf'
    );
    
    ALTER DATABASE MyDBName MODIFY FILE 
    (
       Name = MyDBName_Log, 
       Filename = 'D:\DBLog\MyDBName_log.ldf'
    );
    
    ALTER DATABASE MyDBName MODIFY FILE 
    (
       Name = MyDBName_Idx, 
       Filename = 'E:\DBIndex\MyDBName_log.ndf'
    );
    
    -- 2) Manually move the files in the right location
    
    -- 3) Execute this second chunk to put the DB online
    ALTER DATABASE my SET ONLINE;
    
    ALTER DATABASE my SET MULTI_USER;

    public by cghersi  3161  1  7  1

    Find worst SQL performing queries

    You might have seen a number of queries which provides you with top 10 or top 5 worst performing queries either by Logical IO’s or by CPU time or by Elapsed Time.. I have similar query but it does many more thing. I personally do not query either by total logical reads or total cpu time or total elapsed time individually. I usually use this quer
    with PerformanceMetrics
    as
    (
    select
    --dest.text,
    --statement_start_offset,
    --statement_end_offset,
    --LEN(dest.text) ln,
    substring
    (
    dest.text,
    statement_start_offset/2,
    case when statement_end_offset = -1 then LEN(dest.text)
    else statement_end_offset
    end /2
    ) as 'Text of the SQL' ,
    deqs.plan_generation_num as 'Number of times the plan was generated for this SQL',
    execution_count as 'Total Number of Times the SQL was executed',
    DENSE_RANK() over(order by execution_count desc) as 'Rank of the SQL by Total number of Executions',
    total_elapsed_time/1000 as 'Total Elapsed Time in ms consumed by this SQL',
    DENSE_RANK() over(order by total_elapsed_time desc) as 'Rank of the SQL by Total Elapsed Time',
    Max_elapsed_time/1000 as 'Maximum Elapsed Time in ms consumed by this SQL',
    min_elapsed_time/1000 as 'Minimum Elapsed Time in ms consumed by this SQL',
    total_elapsed_time/1000*nullif(execution_count,0) as 'Average Elapsed Time in ms consumed by this SQL',
    DENSE_RANK() over(order by total_elapsed_time/nullif(execution_count,0) desc) as 'Rank of the SQL by Average Elapsed Time',
    total_worker_time as 'Total CPU Time in ms consumed by this SQL',
    DENSE_RANK() over(order by total_worker_time desc) as 'Rank of the SQL by Total CPU Time',
    Max_worker_time as 'Maximum CPU Time in ms consumed by this SQL',
    min_worker_time as 'Minimum CPU Time in ms consumed by this SQL',
    total_worker_time/nullif(execution_count,0) as 'Average CPU Time in ms consumed by this SQL',
    DENSE_RANK() over(order by total_worker_time/nullif(execution_count,0) desc) as 'Rank of the SQL by Average CPU Time',
    total_logical_reads as 'Total Logical Reads Clocked by this SQL',
    DENSE_RANK() over(order by total_logical_reads desc) as 'Rank of the SQL by Total Logical reads',
    Max_logical_reads as 'Maximum Logical Reads Clocked by this SQL',
    min_logical_reads as 'Minimum Logical Reads Clocked by this SQL',
    total_logical_reads/nullif(execution_count,0) as 'Average Logical Reads Clocked by this SQL',
    DENSE_RANK() over(order by total_logical_reads/nullif(execution_count,0) desc) as 'Rank of the SQL by Average Logical reads',
    total_physical_reads as 'Total Physical Reads Clocked by this SQL',
    DENSE_RANK() over(order by total_physical_reads desc) as 'Rank of the SQL by Total Physical Reads',
    Max_physical_reads as 'Maximum Physical Reads Clocked by this SQL',
    min_physical_reads as 'Minimum Physical Reads Clocked by this SQL',
    total_physical_reads/nullif(execution_count,0) as 'Average Physical Reads Clocked by this SQL',
    DENSE_RANK() over(order by total_physical_reads/nullif(execution_count,0) desc) as 'Rank of the SQL by Average Physical Reads',
    total_logical_writes as 'Total Logical Writes Clocked by this SQL',
    DENSE_RANK() over(order by total_logical_writes desc) as 'Rank of the SQL by Total Logical Writes',
    Max_logical_writes as 'Maximum Logical Writes Clocked by this SQL',
    min_logical_writes as 'Minimum Logical Writes Clocked by this SQL',
    total_logical_writes/nullif(execution_count,0) as 'Average Logical Writes Clocked by this SQL',
    DENSE_RANK() over(order by total_logical_writes/nullif(execution_count,0) desc) as 'Rank of the SQL by Average Logical Writes',
    deqp.query_plan as 'Plan of Query'
    --similarly you can add the ranks for maximum values as well.That is quite useful in finding some of the perf issues.
    from
    sys.dm_exec_query_stats deqs
    /*F0C6560A-9AD1-448B-9521-05258EF7E3FA*/ --use a newid so that we could exclude this query from the performanc emetrics output
    outer apply sys.dm_exec_query_plan(deqs.plan_handle) deqp --sometimes the plan might not be in the cache any longer.So using outer apply
    outer apply sys.dm_exec_sql_text(deqs.sql_handle) dest --Sometimes the text is not returned by the dmv so use outer apply.
    where
    dest.text not like '%F0C6560A-9AD1-448B-9521-05258EF7E3FA%'
    )
    select
    *
    from
    PerformanceMetrics
    where
    1=1
    --apply any of these where clause in any combinations or one by one..
    --and [Rank of the SQL by Average CPU Time] <= 20 --Use this to find the top N queries by avg CPU time.
    --and [Rank of the SQL by Average Elapsed Time] <= 20 --Use this to find the top N queries by avg elspsed time.
    --and [Rank of the SQL by Average Logical reads] <= 20 --Use this to find the top N queries by avg logical reads.
    --and [Rank of the SQL by Average Physical Reads] <= 20 --Use this to find the top N queries by avg physical reads.
    and [Rank of the SQL by Total CPU Time] <= 20 --Use this to find the top N queries by total CPU time.
    and [Rank of the SQL by Total Elapsed Time] <= 20 --Use this to find the top N queries by total elapsed time.
    and [Rank of the SQL by Total Logical reads] <= 20 --Use this to find the top N queries by Total Logical reads.
    and [Rank of the SQL by Total Physical Reads] <= 20 --Use this to find the top N queries by Total Physical Reads.
    and [Rank of the SQL by Total number of Executions] <= 20 --Use this to find the top N queries by Total number of Executions.
    --and [Rank of the SQL by Average Logical Writes] <= 20 --Use this to find the top N queries by Average Logical Writes.
    and [Rank of the SQL by Total Logical Writes] <= 20 --Use this to find the top N queries by Total Logical Writes.
    
    --I usually do the query by 6 rank types together Total logical reads,Total CPU time, Total Elapsed Time , Total Execution count ,Total Physical Reads and Total Logical Writes.Sometimes I exclude last two counters if i do not get any query in the output.
    --If some queries are say in top 10 in all these 6 categories then these needs to tune first...
    --But sometime you might not get any rows at all if u use these 6 categiories in that case remove one of these categories or try one by one..

    public by cghersi  3336  1  7  0

    Get Top 14 KPIs performances of SQL Server

    Gets top 14 Key Performance Indicators (KPI). This is a replacement for various perfmons statistics.
    DROP PROCEDURE dbo.spGetKpi_Top14
    GO
    CREATE PROCEDURE dbo.spGetKpi_Top14
        (
       @iDelay AS INT = 10
        )
    AS
    
    /***********************************************************************************************************
     Purpose:      Gets top 14 Key Performance Indicators (KPI).   This is a replacement for various perfmons statistics.  
                   DMV's are used which are a lower resource use than perfmon.
                   The statistics are collected over a specified interval and returned as a recordset.  This may show up 
                   as a long running process on some monitoring systems due to the WAITFOR verb being used.
    
                    Information on sys.dm_os_performance_counters can be found here: 
                    http://technet.microsoft.com/en-us/library/ms187743.aspx
                    http://technet.microsoft.com/en-us/library/ms189628.aspx
                    http://technet.microsoft.com/en-us/library/ms189628.aspx
     
     Created Date: 06/29/2012
     Written by:   Monte Kottman
    
     Modification:
    
     Proc Name:    spGetKPI_Top14
    
     Inputs:       iDelay                     Number of seconds to delay while collecting statistics.
    
     Outputs:      [Event Date]               Starting Date / Time of the reporting period.
                   [SQL Proc Utiliz %]        Percentage of the CPU that SQL is utilizing.
                   [CPU Idle %]               Percentage of the CPU that is doing nothing.
                   [Other Proc Utiliz %]      Percentage of the CPU used by other processes.
                   [User Connections]         The number of users currently connected to the SQL Server. 
                   [Logins Per Sec]           The number of logins per second.
                   [Logouts Per Sec]          The number of logouts per second.
                   [% Page Splits Per Batch]  Number of page splits per second that occur as the result of overflowing index pages. 
                   [Buffer Cache Hit Ratio]   Percentage of pages found in the buffer cache without having to read from disk. 
                   [Page Life Expectancy]     How long data pages are staying in the buffer. 
                   [Latch Waits Per Sec]      Number of latch requests that could not be granted immediately. 
                   [Total Latch Wait Time]    Total latch wait time (in milliseconds) for latch requests in the last second
                   [Lock Waits Per Sec]       How many users waited to acquire a lock over the past second.  
                   [Number of Deadlocks/sec]  The number of lock requests that resulted in a deadlock. 
                   [Batch Requests Per sec]   Number of batch requests that SQL Server receives per second. 
    
     Dependencies: NONE
    
     Tested on:    SQL Server 2005, 2008, 2012
    
     Usage:        Standalone
    
     Example:      EXEC spGetKPI_Top14 10
    
    ***********************************************************************************************************/
    SET NOCOUNT ON
                                                              /***********************
                                                              ** Declare supporting data structures
                                                             ***********************/
    DECLARE
       @sDelayDuration   AS CHAR(8),
       @nBuffCachHit     AS Numeric(10,2),
       @iPageLife        AS INT,
       @biDeadLock       AS BIGINT,
       @iUserCon         AS INT,
       @dtStart          AS DATETIME,
       @sStartDate       AS VARCHAR(20),
       @fSeconds         AS FLOAT,
       @iBatchStart      AS INT,
       @iBatchEnd        AS INT,
       @iLogInStart      AS INT,
       @iLogInEnd        AS INT,
       @iLogOutStart     AS INT,
       @iLogOutEnd       AS INT,
       @iPageSplitStr    AS INT,
       @iPageSplitEnd    AS INT,
       @iLatchStart      AS INT,
       @iLatchEnd        AS INT,
       @iLatchTmStart    AS INT,
       @iLatchTmEnd      AS INT,
       @iLockWaitStart   AS INT,
       @iLockWaitEnd     AS INT
                                                              /***********************
                                                              ** Assign Variables.
                                                             ***********************/
    SET @dtStart = GETDATE()
    
    SET @sDelayDuration ='00:00:' + CAST(@iDelay AS VARCHAR)
    
    SET @iBatchStart = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Batch Requests/sec')
    SET @iLogInStart = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Logins/sec')
    SET @iLogOutStart = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Logouts/sec')
    SET @iPageSplitStr =  (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='page splits/sec')
    SET @iUserCon = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='User Connections');
    SET @iLatchStart = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Latch Waits/sec');
    SET @iLatchTmStart = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Total Latch Wait Time (ms)');
    SET @iLockWaitStart = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Lock Waits/sec' And Instance_Name = '_Total');
    
    
    SET @nBuffCachHit = 
       (SELECT cast(cntr_value as float) FROM sys.dm_os_performance_counters WHERE counter_name = 'Buffer cache hit ratio') 
       /
       (SELECT cast(cntr_value AS FLOAT) FROM sys.dm_os_performance_counters WHERE counter_name = 'Buffer cache hit ratio base') *100
    
    SET @biDeadLock = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name = 'Number of Deadlocks/sec' AND instance_name = 'Database')
    SET @iPageLife = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE object_name LIKE '%Buffer Manager%' AND counter_name = 'Page life expectancy')
    SET @sStartDate = @dtStart;
    
    WAITFOR DELAY @sDelayDuration
    
    SET @fSeconds = DATEDIFF(ss, @dtStart, GETDATE())
    SET @iBatchEnd = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Batch Requests/sec')
    SET @iLogInEnd = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Logins/sec')
    SET @iLogOutEnd = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Logouts/sec')
    SET @iPageSplitEnd = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='page splits/sec')
    SET @iLatchEnd = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Latch Waits/sec')
    SET @iLatchTmEnd = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Total Latch Wait Time (ms)');
    SET @iLockWaitEnd = (SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name ='Lock Waits/sec' And Instance_Name = '_Total');
                                                              /***********************
                                                              ** Display Results.
                                                             ***********************/
    SELECT TOP 1
       @dtStart                                                                                        AS [Event DateTime],
       SQLProcessUtilization                                                                           AS [SQL Proc Utiliz %],
       SystemIdle                                                                                      AS [CPU Idle %],
       100 - SystemIdle - SQLProcessUtilization                                                        AS [Other Proc Utiliz %],
       @iUserCon                                                                                       AS [User Connections],
       CAST((@iLogInEnd - @iLogInStart)/ @fSeconds AS Numeric(10,2))                                   AS [Logins Per Sec],
       CAST((@iLogOutEnd - @iLogOutStart)/ @fSeconds AS Numeric(10,2))                                 AS [Logouts Per Sec],
       CASE WHEN (@ibatchEnd - @iBatchStart) = 0 THEN 
          CAST(0.00 AS Numeric(10,2))
       ELSE
             CAST((CAST((@iPageSplitEnd -@iPageSplitStr) AS FLOAT)/
                   CAST((@ibatchEnd - @iBatchStart) AS FLOAT) * 100) AS Numeric(10,2))  
       END                                                                                             AS [% Page Splits Per Batch],
       CAST(@nBuffCachHit AS VARCHAR)                                                                  AS [Buffer Cache Hit Ratio %],     
       @iPageLife                                                                                      AS [Page Life Expectancy],   
       CAST((@iLatchEnd - @iLatchStart)/ @fSeconds AS Numeric(10,2))                                   AS [Latch Waits Per Sec],
       CAST((@iLatchTmEnd - @iLatchTmStart)/ @fSeconds AS Numeric(10,2))                               AS [Total Latch Wait Time (ms)],
       CAST((@iLockWaitEnd - @iLockWaitStart)/ @fSeconds AS Numeric(10,2))                             AS [Lock Waits Per Sec],
       CAST(@biDeadLock AS NUMERIC(10,2))                                                              AS [Number of Deadlocks/sec],
       CAST((@ibatchEnd - @iBatchStart)/ @fSeconds AS Numeric(10,2))                                   AS [Batch Requests Per sec]
    FROM
       (
       SELECT
          record.value('(./Record/@id)[1]', 'int')                                                     AS record_id,
          record.value('(./Record/SchedulerMonitorEvent/SystemHealth/SystemIdle)[1]', 'int')           AS SystemIdle,
          record.value('(./Record/SchedulerMonitorEvent/SystemHealth/ProcessUtilization)[1]', 'int')   AS SQLProcessUtilization,
          timestamp
       FROM
          (
          SELECT
             timestamp, CONVERT(xml, record) AS record
          FROM
             sys.dm_os_ring_buffers
          WHERE
             ring_buffer_type = N'RING_BUFFER_SCHEDULER_MONITOR' AND
             record LIKE '%<SystemHealth>%'
          ) AS x
       ) AS y
    ORDER BY
       record_id desc
    GO

    public by cghersi  2517  1  6  0

    Retrieve MySQL data, indexes and log size information

    This SQL retrieves the information regarding the actual size of the data, indexes and log files for the given schema
    select table_schema, table_name,
    concat( round( data_length / ( 1024 *1024 ) , 2 ) , 'Mb' ) data_length_mb,
    concat( round( index_length / ( 1024 *1024 ) , 2 ) , 'Mb' ) index_length_mb,
    concat( round( round( data_length + index_length ) / ( 1024 *1024 ) , 2 ) , 'Mb' ) total_size_mb
    from information_schema.tables
    where table_schema like '<your_schema>'
    order by data_length desc;

    public by cghersi @ Thotpot alumni  2029  1  5  0

    Check for null or empty in lists

    This is how to simply check for a list that is null or empty
    public static boolean isNullOrEmpty(List<?> s) {
    	return ((s == null) || s.isEmpty());
    }

    public by cghersi  3195  1  6  1

    Test harness for Multithread lock management strategies

    This test suite provides a simple way to check the performances of locks vs. synchronized syntax in case of multithread safe run of a task. The parameters are added as static variable at the top of the class, MAX_LOOPS is the number of times the task is performed, and MAX_SET_SIZE is the number of simultaneous threads launched and insisting on th
    import java.util.ArrayList;
    import java.util.List;
    import java.util.concurrent.ArrayBlockingQueue;
    import java.util.concurrent.locks.ReentrantLock;
    
    
    public class SafeLocks {
    
    	private static int MAX_LOOPS = 1000;
    	private static int MAX_SET_SIZE = 10000;
    	
    	/**
    	 * @param args
    	 */
    	public static void main(String[] args) {
    		System.out.println("Starting ReentrantLock test bench at " + System.currentTimeMillis());
    		
    		TestSuite suite1 = new ReentrantlockEx();
    		testBench(suite1);
    		
    		System.out.println("Starting Synchronized test bench at " + System.currentTimeMillis());
    		
    		TestSuite suite2 = new SynchronizedEx();
    		testBench(suite2);
    
    		System.out.println("END");
    	}
    	
    	private static void testBench(final TestSuite test) {
    		for (int thIdx = 0; thIdx < MAX_SET_SIZE; thIdx++) {
    			Thread t = new Thread(new Runnable() {			
    				@Override
    				public void run() {
    					long summedSpentTime = 0;
    					for (int i = 0; i < MAX_LOOPS; i++) {
    						long startTime = System.currentTimeMillis();
    						test.doStuff(i);
    						summedSpentTime += (System.currentTimeMillis() - startTime);
    					}
    					test.addTime(summedSpentTime);
    				}
    			});
    			t.start();
    		}
    		
    		while (test.threadsFinished() < MAX_SET_SIZE) {
    			try {
    				Thread.sleep(2000);
    			} catch (InterruptedException e) {
    				e.printStackTrace();
    			}
    		}
    		
    		List<Long> times = test.getTimes();
    		long totalTime = 0;
    		for (long l : times) {
    			totalTime += l;
    		}
    		System.out.println("Suite finished: # of threads: " + MAX_SET_SIZE + "; # of running cycles of single task: " + 
    				MAX_LOOPS + "; avg time is " + (totalTime / times.size()));
    	}
    	
    	public static abstract class TestSuiteImpl implements TestSuite {
    
    		private ArrayBlockingQueue<Long> runTimes = new ArrayBlockingQueue<Long>(MAX_SET_SIZE + 1);
    
    		public void addTime(long time) {
    			runTimes.add(time);
    		}
    		
    		public List<Long> getTimes() {
    			List<Long> res = new ArrayList<>();
    			runTimes.drainTo(res);
    			return res;
    		}
    		
    		public int threadsFinished() {
    			return runTimes.size();
    		}
    	}
    	
    	public static class ReentrantlockEx extends TestSuiteImpl implements TestSuite {
    		private ReentrantLock lock = new ReentrantLock();
    
    		public final boolean doStuff(int number) {
    			boolean result = false;
    			lock.lock();
    			
    			//do something not completely stupid so that compiler will not get rid of it
    			String test = "abc0";
    			result = (test.hashCode() == number);
    			
    			lock.unlock();
    			return result;
    		}
    	}
    	
    	public static class SynchronizedEx extends TestSuiteImpl implements TestSuite {
    		
    		private final Object syncObj = new Object();
    
    		public final boolean doStuff(int number) {
    			boolean result = false;
    			synchronized (syncObj) {
    				//do something not completely stupid so that compiler will not get rid of it
    				String test = "abc0";
    				result = (test.hashCode() == number);
    			}
    			return result;
    		}
    	}
    	
    	public static interface TestSuite {
    		public boolean doStuff(int number);
    		public void addTime(long time);
    		public List<Long> getTimes();
    		public int threadsFinished();
    	}
    
    }

    public by marksimon232  2774  1  6  4

    Most efficient way to perform a FullText Search on SQL MS Azure

    On Azure SQL Database the FullText Search is not enabled, so what is the best way to do a similar search with acceptable performances? Using LIKE operator is not an option for large databases...
    SQL Azure Database does not currently (August 2014) support Full Text Search. Many requiring this functionality have opted to use Lucene.NET instead. There's a useful overview of Lucene.NET plus code samples below:
    
    Lucene.NET Overview and Code Samples: 
    http://leoncullens.nl/post/2012/11/18/Full-Text-Search-on-Azure-with-LuceneNET.aspx
    
    I was able to create a working demo against one of my own SQL Azure tables in about 10 minutes.
    var indexWriter = new IndexWriter(azureDir, new StandardAnalyzer(Version.LUCENE_30), true, IndexWriter.MaxFieldLength.UNLIMITED);

    external by Github  34  0  1  0

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