sql performance counters

SQL There is no memory pressure on the Server. Conclusion: Memory is the most important resource of database system, the management of operating system and SQL Server is more complicated, from the value of above count value, it is basically able to infer whether SQL Server has memory pressure and can testify with other measured values, such as committed memory

parameter mode, what problems the automation parameters will bring, and how to solve them.The problem itself is very simple, if you do not notice still occasionally will appear confused. Off Topic Have a little feeling very deep, that is, more and more practical problems, have to have theoretical knowledge to support,But it is often theoretically said that the situation does not appear frequently or even if there is no attention, there is time to neglect some theoretical knowledge.For the prob

very deep, that is, more and more practical problems, have to have theoretical knowledge to support,But it is often theoretically said that the situation does not appear frequently or even if there is no attention, there is time to neglect some theoretical knowledge.For the problems encountered, if you really want to find out, still have some theoretical knowledge to do the groundwork. Many times, often after encountering problems, recalled once good seems to have seen this aspect of theoretica

The impact of Tempdb on SQL Server performance optimization and tempdb Performance Optimization First, consolidate the basic knowledge of tempdb. Introduction: Tempdb is an important part of SQLServer, which is used to store temporary objects. Tempdb is an SQL Server writer. Both applications and databases can use temp

Label:The optimization of SQL statements is to convert poorly performing SQL statements into the same performance SQL statements with the same purpose.AI automatic SQL optimization uses AI technology to automatically rewrite SQL s

SQL Server focuses on optimization of Stored Procedure performance, data compression, and page compression to improve IO performance (I ). Preface The SQL Server basic series is not over yet, And the last point is not written, and will continue later. Some school friends asked me when I began to write the

This article explains how to split an SQL statement with one or more left JOIN or right join into multiple SQL statements. MySQL query efficiency is very low, especially large data, and high concurrency, the index can not solve the problem, the best way is to split the SQL statement into multiple single table query SQL

Label:A colleague with my feedback he has encountered a SQL performance problem, he said that the full table only 69 records, client execution spent more than two minutes, it is not scientific. Want me to analyze the reason and solve. I have constructed a case based on a similar table structure, and the test is as followsThis table has 13800KB (that is, 13M multi-size), because the table saves the picture t

Original: SQL Server performance Optimization nolock, greatly improve database query performanceThe company database grows with time, the data is more and more, the query speed is also more and more slow. Into the database to see a bit, hundreds of thousands of of the data, the query is really time-consuming.To improve the query performance of

very deep, that is, more and more practical problems, have to have theoretical knowledge to support,But it is often theoretically said that the situation does not appear frequently or even if there is no attention, there is time to neglect some theoretical knowledge.For the problems encountered, if you really want to find out, still have some theoretical knowledge to do the groundwork. Many times, often after encountering problems, recalled once good seems to have seen this aspect of theoretica

:16TAB1 small, TAB2 billion level above, two weeks data in tens of millions of.Lan Hua Main 16:13:22Ok.Orchid Island Main 16:16:29So change the SQL:with T1 as (Select count (t.c1), t.c1,t.c2,t.c3,t.c4,t.c5From Tab1 twhere T.c2 not in (' Val1 ', ' val2 ', ' val3 ', ' val4 ', ' VAL5 ')and C1 is not NULLGroup by T.C1, T.C2,T.C3,T.C4,T.C5)Select T1.c1,t1.c2,t1.c3,t1.c4,t1.c5from T1Where NOT EXISTS (Select/*+ Use_hash (m,n) */M.C1, M.C2,M.C3,M.C4,M.C5from T1 m,tab2 Nwhere N.c2 > Sysdate-14and m.c1 =

MySQL batch SQL insert performance optimization details, mysql Performance Optimization For some systems with a large data volume, the database faces problems in addition to the low query efficiency, but also the long data warehouse receiving time. Especially for the report system, the time spent on data import may be several hours or dozens of hours every day. T

The optimization of SQL statements is to reduce the performance of SQL statementsConversionSQL statements with the same performance as the target. Artificial Intelligence automatic SQL optimization is the use of artificial intelligence technology, automatic rewriting of

The company database grows with time, the data is more and more, the query speed is also more and more slow. Into the database to see a bit, hundreds of thousands of of the data, the query is really time-consuming.To improve the query performance of SQL, we generally consider the index as the first consideration. In fact, in addition to the establishment of the index, when we are under the

Tags: Microsoft CTI object Complex problem: Lis use parameter BinThis article belongs to theUnderstand the mysteries of performance-slow in applications, fast in SSMS"seriesNext: Understanding the Mysteries of performance-application slow, SSMs fast (5)--case: How to deal with parameter sniffing We put aside the argument sniffing topic and went back to the original point of concern in this series: Why is th

tools for the corresponding pages. 6. Avoid high-cost operations with memory cache PHP often plays an important role in retrieval and data analysis, which can lead to performance degradation. In fact, some operations are completely unnecessary, especially from the database repeatedly retrieving some commonly used static data. Consider the short-term use of Memcached extension to cache data. Memcached's extended cache works with the libmemcached libra

Tags: Data Warehouse res warehouse IMA Misc SYS cell nbsp HighlightTo configure the Data collector: 1. Create a login and map roles 2. Configuring the Management Data Warehouse 3. Create collection sets, collection items----msdb data store sp_syscollector_create ... 4. Automatically configure the related job Specific steps: After creating the diagram: To configure Data collection: The refresh looks like this: The method created: Use msdb go declare @collectionsetid int --return val