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https://issues.apache.org/jira/browse/IGNITE-10329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16701824#comment-16701824
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Pavel Kuznetsov commented on IGNITE-10329:
------------------------------------------

Added new seelect by PK benchmark : {{SELECT id FROM PUBLIC.PERSON WHERE id 
BETWEEN ? AND ?}}
*Ignite:*
||Benchmark     ||Configuration ||Queries/sec, avg||
|SimpleSelectBenchmark  |select-simple-jdbc-thin-inmemory       |816.77|
|SelectWithJoinBenchmark        |select-join-jdbc-thin-inmemory |272.61|
|SelectByPkBenchmark    |select-pk-jdbc-thin-inmemory   |433.11|
|SimpleSelectBenchmark  |select-simple-jdbc-thin-persistence    |377.92|
|SelectWithJoinBenchmark        |select-join-jdbc-thin-persistence      |142.39|
|SelectByPkBenchmark    |select-pk-jdbc-thin-persistence        |390.17|
|SimpleSelectBenchmark  |select-simple-jdbc-v2-inmemory |621.42|
|SelectWithJoinBenchmark        |select-join-jdbc-v2-inmemory   |203.33|
|SelectByPkBenchmark    |select-pk-jdbc-v2-inmemory     |694.39|
|SimpleSelectBenchmark  |select-simple-jdbc-v2-persistence      |480.91|
|SelectWithJoinBenchmark        |select-join-jdbc-v2-persistence        |173.72|
|SelectByPkBenchmark    |select-pk-jdbc-v2-persistence  |516.76|

> Create JDBC "query" and "query join" benchmarks and compare them with 
> Postgres and MySQL
> ----------------------------------------------------------------------------------------
>
>                 Key: IGNITE-10329
>                 URL: https://issues.apache.org/jira/browse/IGNITE-10329
>             Project: Ignite
>          Issue Type: Task
>          Components: sql, yardstick
>            Reporter: Vladimir Ozerov
>            Assignee: Pavel Kuznetsov
>            Priority: Major
>             Fix For: 2.8
>
>
> Currently we have {{IgniteSqlQueryBenchmark}} and 
> {{IgniteSqlQueryJoinBenchmark}} benchmarks which query data over salary range 
> and optionally joins it with second table. Let's create a set of similar 
> benchmarks which will use JDBC to load and query data, and execute them 
> against one-node Ignite cluster, MySQL and Postgres.



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