We have compressed tables and index in SQL Server (there is no compression in PostGreSQL): Performances of COUNT with indexes and compression: PostGreSQL has nearly no gain or loss with or without index… SQL Server is worst with indexes for queries 5, 6, 7, but the loss is also very few. SQL Server is better with indexes for queries 2, 8, 9, 10 but the gain is very few. PostGreSQL is between 7 and 561 times slower than SQL Server for COUNT with appropriate indexes. CREATE INDEX X_3 ON T_PERSONNE_PRS (PRS_NOM, PRS_PRENOM).CREATE INDEX X_2 ON T_PERSONNE_PRS (PRS_PRENOM).CREATE INDEX X_1 ON T_PERSONNE_PRS (PRS_NOM).PostGreSQL is between 10 and 454 times slower than SQL Server for COUNT without indexes. We have rewrite the query using another table with the ILIKE operator – QRY 10 (PostGreSQL). (1) QRY 10 raised an exception on PostGreSQL, because PostGreSQL is unable to run COLLATE operator properly with some other operator like the LIKE SQL operator. GROUP BY UPPER(CONCAT(LEFT(PRS_PRENOM, 1), SELECT COUNT(DISTINCT PRS_PRENOM + PRS_NOM) This limitation of PostGreSQL is a real anomaly and if we had had to perform counts without taking into account accents and other diacritics (ligatures for example), it would have been strictly impossible with PostGreSQL! Under normal production circumstances, for example with publisher software, this would have been impossible to do. We had to create a collation for PostGreSQL’s table 2 because PostGreSQL has very few internal collation unlike SQL Server which has over 5500. Prs_prenom VARCHAR(25) COLLATE fr_ci_ai) PRS_PRENOM VARCHAR(25) COLLATE french_ci_ai) PRS_NOM VARCHAR(32) COLLATE french_ci_ai,
#SQLPRO FOR POSTGRES ZIP FILE#
It’s a ZIP file containing a text file of 239 820 Kb inside which you will find 10 million rows of persons.
![sqlpro for postgres sqlpro for postgres](https://static.macupdate.com/screenshots/297976/m/sqlpro-for-postgres-screenshot.png)
![sqlpro for postgres sqlpro for postgres](https://2.bp.blogspot.com/-E2ReqFC9zaE/XGt1CZFT7PI/AAAAAAAAG2w/xhWC8Yh3ZVEJ16iikFWIW7Mg4vAcDNQSQCLcBGAs/s1600/sqlpro%2Bstudio.png)
The file « Benchmark test SQL Server.sql » contains the SQL script to create the table and populate it, and also all the queries we tested for SQL Server.The file « Benchmark test PostGreSQL.sql » contains the SQL script to create the table and populate it, and also all the queries we tested for PostGreSQL.
#SQLPRO FOR POSTGRES DOWNLOAD#
The SQL queries to reproduce the test can be download at: we stopped the other RDBMS service while testing one.computing the average response time of the 8 remaining elapsed time.eliminating best and worst response time.PostGreSQL has a specific collation comming with the OS parameterization: SQL Server has a storage configuration as follow: ALTER SYSTEM SET max_parallel_workers_per_gather = 8