sql server performance tuning best practices

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

cache for the macro Statement, which is specified when the JDBC connection pool is configured. The cache is static and it is important to keep this in mind. This means that if the cache size is n, only the first n statements in the cache will be executed. To ensure that expensive SQL statements can be cached, use a startup class to store these statements in the cache. Although the caching technology has greatly improved the

write cache exists and the algorithm is normal, RAID5 is even better than raid10, although there may not be much difference (here we should assume that there is a certain size of storage, enough write cache, and there is no bottleneck in the CPU for computing and verification ). This is because the raid check is completed in the cache. For example, for RAID 5 of four disks, you can calculate the check in the memory and write three data and one verification at the same time. Raid10 can only wr

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

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. server.2005. Technical Insider "series ConclusionThis article first to this bar, short, easy to understand, this article mainly introduces the query plan of the joint operators, the next we analyze SQL Server parallel operations, in multicore hyper-threading gathered today, see SQL How

The BIOS defaults to a good balance between performance and power consumption when the server is shipped to the general environment, but in a high-load environment, it is necessary to optimize the server without the need for energy-saving mode (720xd machine load to 20+ to self-hang) for maximum throughput or the lowest latencyThe following are configuration adju

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

benefits are largely negligible.ConclusionThis article first of all, this article mainly describes the T-SQL statement tuning from the execution plan of the following, and introduced a few common simple operators, the next one will focus on some of our most commonly used operators and tuning techniques, including: Join operators, aggregation operators, union ope

article first of all, this article mainly describes the T-SQL statement tuning from the execution plan of the following, and introduced a few common simple operators, the next one will focus on some of our most commonly used operators and tuning techniques, including: Join operators, aggregation operators, union operators, parallel operations, etc. The content o