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Home 2018 July SQL Server: Basic performance test between SELECT INTO and INSERT INTO SELECT

SQL Server: Basic performance test between SELECT INTO and INSERT INTO SELECT

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In this post, I am doing a basic performance test between SELECT INTO and INSERT INTO SELECT option of SQL Server.

Database Developers are using these options very frequently for copying data between the tables. But SELECT INTO is little faster than INSERT INTO SELECT option.

Note: I am testing using a very small number of sample records. If you are testing with a huge number of records, you may find a big difference in the performance.

Please check the below examples:

Set Statistics:

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SET STATISTICS IO ON
SET STATISTICS TIME ON

Create sample tables:

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CREATE TABLE tbl_MyData (ID INT, Name VARCHAR(10))
CREATE TABLE tbl_Mytable (ID INT, Name VARCHAR(10))
 
INSERT INTO tbl_MyData VALUES (1,'dbrnd')
GO 1000000

Perform INSERT INTO SELECT:

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INSERT INTO tbl_Mytable
SELECT ID, Name
FROM tbl_MyData

Execution time:

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SQL Server Execution Times:
CPU time = 16 ms, elapsed time = 37 ms.

Perform SELECT INTO:

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SELECT ID, Name
INTO tbl_MyTable2
FROM tbl_MyData

Execution time:

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SQL Server Execution Times:
CPU time = 16 ms, elapsed time = 21 ms.

Jul 23, 2018Anvesh Patel
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Anvesh Patel
Anvesh Patel

Database Engineer

ImageJuly 23, 2018 SQL ServerAnvesh Patel, database, database research and development, dbrnd, INSERT INTO SELECT, SELECT INTO, SQL Programming, sql queries, SQL Server, SQL Server Administrator, SQL Server Error, SQL Server Monitoring, SQL Server Performance Tuning, SQL Server Programming, SQL Server Tips and Tricks, sqlcode, TSQL
About Me!

I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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