sql performance tuning techniques

Tags: instance default help input extern data package MSDN One fixOriginal: SQL Server performance Tuning resource waiting network I/OI. OverviewThe main wait for network I/O is async_network_io, when SQL Server returns a data result set to the client, the result set is populated into the output cache (ouput cache), an

Transferred from: http://www.cnblogs.com/MR_ke/archive/2010/08/25/1807856.htmlSQL 2005 Performance TuningSQL Server runs for a period of time, and as data accumulates, SQL runs less efficiently, and in order to use business system normal actions, IT departments often need to spend a high price on SQL tuning experts to

There should be different filegroups in the database before the partition table is created;Assuming the database name is Df17datapro, create the user table UserID, put the first 500,000 data in the primary filegroup, place the 50~100 in the FG1 filegroup, and put more than 100 in the FG2 filegroup1. Add File group Fg1,fg2ALTER DATABASE Df17datapro ADD FILEGROUP FG1ALTER DATABASE df17dataproadd FILEGROUP fg22. Adding files to a filegroupALTER TABLEDf17dataproADD FILE(NAME=Df17datapro1,filename=

);} /// ///generate time information from the GUID returned by SQL SERVER/// /// comb that contain time information/// Time Public Staticdatetime getdatefromcomb (System.Guid Guid) {datetime basedate=NewDateTime (1900,1,1); byte[] Daysarray =New byte[4]; byte[] Msecsarray =New byte[4]; byte[] Guidarray =GUID. Tobytearray (); //Copy The date parts of the GUID to the respective byte arrays.Array.copy (Guidarray, Guidarray.length-6, Daysarray,2,2);

I. Analysis Phase In general, there are often too many areas of concern in the system analysis phase, system functionality, availability, reliability, security requirements tend to attract most of our attention, but we must note that performance is a very important non-functional requirements, must be based on the characteristics of the system to determine its real-time requirements, response time requirements , hardware configuration, and so on. It

SQL Server Performance Tuning entry (graphic version) Step 1: capture sample data during business peaks(About 2 hours ). The tool used is the profiler that comes with sqlserver, also known as the event probe. For example, after entering, click the button on the leftmost side to create a new trail: DBO permission is required for logon, therefore, you can log on wi

Recently, the following project encountered an urgent problem, my old horse and young people to fight together. The problem is that many queries are incredibly slow when the pressure data is poured into the database. Said there must be some basic guidelines for performance issues. The order of performance problems tunning 1 Architecture design (software architecture and database design, poor design is alm

execution plan you can see that the performance improvement is still very large. This is the data of the test environment, if the data volume is large, the advantage is more obvious.So for this problem, the cause is that there is a job data processing frequency is relatively high, in the test environment is difficult to locate where there is a problem, and the speed can also be accepted, but in the production environment is always slower, in fact, th

2014-08-23 BaoxinjianI. Summary A script that is circulated online to query the efficiency of a single SQL query and export it as an HTML report, similar in function to Dbms_profilerQuery sql_id by session, only run script, export as HTML reportThe SQL script: Http://files.cnblogs.com/eastsea/sqlcheck.zipIi. cases-Using the script data SQL

whenever possible. This section will be a topic at the end of this series. A detailed description of the process is presented here (simplification – Exploration – implementation).Summarize:This paper introduces the process of compiling query, and the concrete content of generating cache, reusing cache, recompiling, etc. There are a number of things to note about optimizing our T-SQL statements, and the more hits we have on the execution plan cache, t

One of the practical skills that can greatly improve the performance of SQL TUNING optimization. When we perform SQL optimization, we often encounter the need to sort a large number of datasets and then retrieve the first part of the results from the sorted set. In this case, when we write

Label:Original: T-SQL performance Tuning-information collectionIO information (starting from server startup)--database IO Analysiswith iofordatabase as (SELECT db_name (vfs.database_id) as DatabaseName, case if Smf.type = 1 Then ' log_file ' ELSE ' data_file ' END As Databasefile_type, sum (vfs.num_of_bytes_written) as Io_write, sum (VFS.N

/1000 N ' Total time spent in MS ',total_worker_time/1000 N ' Total CPU time MS ',Total_physical_reads N ' Total number of physical reads ',Total_logical_reads/execution_count N ' Each logical read ',Total_logical_reads N ' Logical reads total number of times ',Total number of total_logical_writes N ' logical writes ',Execution_count N ' execution times ',Creation_time N ' statement compilation Time ',Last_execution_time N ' Last Execution time ',SUBSTRING (St.text, (QS.STATEMENT_START_OFFSET/2)

rows reserved data index_size unused TB_WCB 9439661 317208 kb 167168 KB 149872 KB 168 KB */ we found that the size before index compression was 329M. And after compression is 149M, the compression ratio is 45%. The effect is also very obvious. Summarize: Compression through tables and indexes. We can reduce the disk space occupied by the table, this is only part of it, and more importantly, reading the same amount of data, just need to read less data pages,

compression is 167M, the size of the table after compression is only 40% of the original table, the effect is obvious, and because most of the table's fields are only IDs, the relative repetition value is not too much.However, we see that the size of the index varies substantially, so we continue to compress the index:5. Compression indexAlter index idx_tb_wcb_id on Tb_wcbrebuildwith (Data_compression=row)6, the comparison after the index compressionsp_spaceused ' ms_visit_qst_opt '/*name

summary data is based is updated frequently, it is easier to use a view than to write SQL every time 2. Create a ViewThis is how the CREATE view is defined in the MySQL documentation: CREATE [OR REPLACE] [algorithm = {UNDEFINED | MERGE | TempTable}] [definer = {User | Current_User}] [SQL SECURITY {definer | INVOKER}]VIEW view_name [(column_list)]As Select_statement[With [cascaded | LOCAL] CHECK

Microsoft, one is not perfect function also dare to take Out (2000) The second functional architecture of the outstanding design makes the function has a strong continuity and Scalability (2005 2000 of the function to retain and improve). The optimization tool is simple to use 1: Use SQL Server Porfiler (Event Viewer) to record all the steps of the operation database in the business system and save it as a working file. 2: Open sql2005 's database

1. Import the trace file into the tableSELECT IDENTITY (BIGINT11 as RowNumber,* into TableNamefrom fn_trace_gettable ('trace.trc'default)2. Querying for statements with large CPU overheadSELECT Top -Total_worker_time/Execution_count asAvg_cpu_cost, Plan_handle, Execution_count, (SELECT SUBSTRING(text, Statement_start_offset/2 + 1, ( Case whenStatement_end_offset= -1 Then LEN(CONVERT(nvarchar(Max),text))* 2 ELSEStatement_end_offsetEND -Statement_start_offset)/2) fro

contentIn-depth Java program Performance tuning focuses on Java application optimization methods, techniques and ideas, in-depth analysis of the software design level, code level, JVM virtual machine level optimization methods, theoretical and practical, using a wealth of examples to help learners understand theoretical knowledge.2. Java

Tags: process optimizer consolidation requires merging auto overwrite session accessThe full execution order of the SELECT statement:The full execution order of the SQL SELECT statement: 1. The FROM clause assembles data from different data sources; 2. The WHERE clause filters the record rows based on the specified criteria, 3, the GROUP BY clause divides the data into multiple groupings, 4, uses the aggregation function for the calculation, 5, uses t