On the forum, I often complained that SQL Server is too memory-consuming. Here I will give a brief introduction to memory-related tuning knowledge based on experience. First, describe the memory used by SQL Server.
The memory occupied by SQL
Original address: http://www.cnblogs.com/zuowj/p/3566247.htmlNow everyone is more concerned about the problem is in the case of high concurrency of multi-user, how to develop the system, which for us programmers, is really worth studying, recently looking for a job interview is often asked, in fact, I have to care and understand this kind of problem, but has not summed up, resulting in the interview can not be a complete and comprehensive answer, So t
local table update B Set B. column A =. column A from OpenRowSet ('sqlodb', 'SQL Server name'; 'username'; 'Password', database name. DBO. table Name) as a inner join local table B on. column1 = B. column1 -- create a connection for openquery usage -- first create a connection to create the connection server exec sp_a
;--current session process ID
SELECT @ @textSize;
SELECT @ @version;--Current database version information
9. System Statistic function
SELECT @ @CONNECTIONS;--Number of connections
SELECT @ @PACK_RECEIVED;
SELECT @ @CPU_BUSY;
SELECT @ @PACK_SENT;
SELECT @ @TIMETICKS;
SELECT @ @IDLE;
SELECT @ @TOTAL_ERRORS;
SELECT @ @IO_BUSY;
SELECT @ @TOTAL_READ;--Read disk count
SELECT @ @PACKET_ERRORS;--Number of network packet errors that occurred
SELECT @ @TOTAL_WRITE;--sqlserver the number of disk writes p
extension). logBad--The default is the control file (remove extension).Data--file, usually specified in the control file. Not specifying data files in parameter control files is more appropriate for automatic operationErrors--The number of error records allowed, which can be used to control a record.Rows-How many records are submitted once, default to 64Skip-The number of skipped rows, such as the first few rows of the exported data file is the header or other descriptionOracle_sqlloader test.
To reduce the scope of the read operation, this article first looks at a simple select query and then introduces additional procedures related to performing the update operation. Finally, you will read that SQL Server uses the terminology and processes associated with the Restore tool when optimizing performance.relational and storage engines,
: -- worst performing CPU bound queries select top 5 St. text
* from Sys.dm_exec_query_stats QS cross APPLY Sys.dm_exec_sql_text (qs.plan_handle) St cross APPLY sys.dm_exec_query_plan (qs.plan_handle) QP order by total_worker_time desc go you can see here that I used a simple ORDER by Total_worker_time DESC to return a CPU-intensive query
MySQL Server SWAP usage is high, which causes db to be very slow and slow. mysqlswapHigh usage of MySQL Server SWAP causes slow dbEnvironment Introduction:CentOS: 6.XMySQL version: 5.5.40Fault Cause Analysis:The physical memory is 16 GB, And the swap is 4 GB. MySQL occupies
frequently (by the way, it becomes a clustered index), and can better meet most of our needs. The auto-increment ID column is omnipotent. The Int type only occupies 4 bytes to fully meet the requirements of narrow indexes. The absolute sequential storage can effectively reduce index fragmentation, which fully conforms to our table habits, it is always correct to use an auto-increment ID column as the primary key.
Here, the key columns of clustered indexes are mainly for
find books, we generally use the way (the definition of parameters and data collection on the Assignment simulation page): 1 DECLARE @publishers VARCHAR (a);
2 SET @publishers = ' Tsinghua University Press ' ;
3 SELECT * from WHERE Publishers=@publishers The results are as follows: When the publisher filter condition is NULL, how do you write SQL? 1 DECLARE @publishers VARCHAR (a);
2 SELECT * from WHERE Publishers=ISNULL(@publishers, Publishers
Steps for using SQLServer high-speed cache dependency.
Steps for using SQL Server high-speed cache dependency.
1. Enable the database to support SQL high-speed cache dependencies.
2. Enable the table to support
SQL query in the in, exists, not in, not exists usage and difference, sqlexists
1. in and exists
In connects the External table to the internal table as a hash (Dictionary set), while exists loops the External table and queries the internal table after each loop. The statement that exists is more efficient than in is always inaccurate. If the two tables to be que
Every time we talk about the high availability of SQL Server, many DBAs, especially SQL Server DBAs, feel a pain: Because we all think that SQL Server cannot or is difficult to implemen
Original: SQL Server high-availability log shippingI. Log shipping OverviewSQL Server uses log shipping, which automatically sends a transaction log backup of the primary server to one or more secondary databases.An optional monitoring s
: #0000ff" >select top 5 St. text , Qp.query_plan, Qs. * from sys.dm_exec_query_stats QS cross APPLY sys.dm_exec_sql_text (qs.plan_handle) St cross APPLY sys.dm_exec_query_plan (qs.plan_handle) QP order by total_worker_time desc go you can see here that I used a simple ORDER by Total_worker_time DESC to return a CPU-intensive query. The SQL s
First, describe the memory used by SQL Server. The memory occupied by SQL Server is mainly composed of three parts: Data Buffer, Procedure Cache, and SQL Server engine program. The cache occupied by
Every time you talk about the high availability of SQL Server, a lot of DBAs, especially SQL Server DBA, have a pain in their head: Because everyone thinks that SQL Server cannot or wil
MySQL server swap usage high results in db very slow very cardEnvironment Introduction:centos:6.xMySQL version: 5.5.40Failure Reason analysis:The physical memory is 16g,swap is 4G. At this point, MySQL itself has taken up 14G of physical memory, while other applications or system processes need 3G of memory, this time the operating system may have a portion of My
, high concurrency is a high level of CPU consumption caused by recompilation.C, physical connection tips (Hint)About physical connections We have analyzed in detail in the previous article that there are three physical connection methods in SQL Server: Nested loops, merges,
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