sql server performance tuning videos

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

Original: SQL Server Tuning Series Advanced (query statement running several indicator value monitoring)ObjectiveIn the previous article, we analyzed how the query optimizer works, including: detailed operation steps of the query optimizer, analysis of filter conditions, optimization of index items, and other information.In this article we analyze the detection o

. Reference documents Microsoft Books Online logical operators and physical operator references Refer to the book SQL. server.2005. Technical Insider "series Conclusion This article is here first, this article mainly describes the T-SQL statement tuning from the execution plan, and introduces three

are crossed, then a query can be made using one. Let's see a statement. SELECT OrderID from ORDERS '1998-01-01' 1998-03-05 ' Here we use the predicate connection method for and, so in the actual execution, although both columns have nonclustered indexes, the theory can be used, but we just choose an optimal index to find, and another directly using bookmarks to find out. Save the previous introduction of the various Gods horse sort to go heavy .... Flow polymerization de-weight .... And s

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Use Cases I remember when I was tuning for a company, the person in charge sent me a bunch of business T-SQL scripts, I am still calm in the face of massive scripts, although I do not understand the internal complex business, however, we have to focus on the key "slowness" of the problem. We will filter them out based on the "slowness" of the query and optimize them one by one. Won't the problem be solved q

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 of SQ