how to update millions of records in sql server

How can I write SQL statements to submit multiple update records first:

, hardware architecture temporarily cannot be modified. But I would like to verify that these factors are not affected. The results showed that the hints were obvious, but still did not meet the requirements. Is it the bottleneck of SQL Server? Can't do that, is this the bottleneck of SQL Server? On the Inte

not meet the requirements.　　Is it the bottleneck of SQL Server?Can't do that, is this the bottleneck of SQL Server? On the Internet to check the relevant information, may be the bottleneck of Io, and what can be done, to upgrade the server, to replace the database, but the

Update records The UPDATE statement is used to update or alter a record that matches a specified condition, which is implemented by constructing a where statement. The statement format is as follows: Update "TableName" Set "ColumnName" = "NewValue" [, "nextcolumn" = "newvalu

bottleneck of SQL Server?Can't do that, is this the bottleneck of SQL Server? On the Internet to check the relevant information, may be the bottleneck of Io, and what can be done, to upgrade the server, to replace the database, but the project party?Wait, there seems to be

SQL Server?Can't do that, is this the bottleneck of SQL Server? On the Internet to check the relevant information, may be the bottleneck of Io, and what can be done, to upgrade the server, to replace the database, but the project party?Wait, there seems to be another thing,

OFF The results are as follows:Better before the optimization?Looking closely at the IO data, we found that the pre-read is the same, that is, we want to query the data records are consistent, physical reading, table scanning is always. Logical reads, however, are slightly different and should be caused by cache hits. In other words, the conditional order of the WHERE clause does not optimize the query result without indexing .Then, you can

system to the top of the monitoring system, a data can not be poorOur system architecture is as follows, and we can see that the database pressure is very large, especially in the Levela node: The hardware configuration is as follows:CPU: intel® xeon® Processor e5-2609 (4-Core, 2.40GHz, 10MB, 6.4 gt/s)Memory : 4GB (2X2GB) DDR3 RDIMM memory, 1333MHZ,ECCHDD : 500GB 7200 RPM 3.5 ' SATA3 HDD, RAID5. Database versionThe use of the SQLSERVER2012 standard version, HP provides genuine software,

system to the top of the monitoring system, a data can not be poorOur system architecture is as follows, and we can see that the database pressure is very large, especially in the Levela node: The hardware configuration is as follows:CPU: intel® xeon® Processor e5-2609 (4-Core, 2.40GHz, 10MB, 6.4 gt/s)Memory : 4GB (2X2GB) DDR3 RDIMM memory, 1333MHZ,ECCHDD : 500GB 7200 RPM 3.5 ' SATA3 HDD, RAID5. Database versionThe use of the SQLSERVER2012 standard version, HP provides genuine software,

this, how can we quickly obtain the total number of records of a data table? The answer is: use the System View of the SqlServer Database sys. sysindexes In the ms SQL Serverl database, each data table has at least one record in the sys. sysindexes system table. The rows or rowcnt field in the record regularly records the total number of

OFFThe results are as follows:Better before the optimization?Looking closely at the IO data, we found that the pre-read is the same, that is, we want to query the data records are consistent, physical reading, table scanning is always. Logical reads, however, are slightly different and should be caused by cache hits. In other words, the conditional order of the WHERE clause does not optimize the query result without indexing .Then, you can only pass

follows:Better before the optimization?Looking closely at the IO data, we found that the pre-read is the same, that is, we want to query the data records are consistent, physical reading, table scanning is always. Logical reads, however, are slightly different and should be caused by cache hits. In other words, the conditional order of the WHERE clause does not optimize the query result without indexing .Then, you can only pass the index method.Attem

aspects: 1. Obtain the total number of records when paging data. 2. Determine whether the number of records in the data table is too large and whether data needs to be backed up. 3. user requirements. After talking about this, how can we quickly obtain the total number of records of a data table? The answer is: use the System View of the SqlServer Database sys.