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https://issues.apache.org/jira/browse/IGNITE-4106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Mashenkov updated IGNITE-4106:
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Description:
If we run SQL query on cache partitioned over several cluster nodes, it will be
split into several queries running in parallel. But really we will have one
thread per query on each node.
So, for now, to improve SQL query performance we need to run more Ignite
instances or split caches manually.
It seems to be better to split local SQL queries over cache partitions, so we
would be able to parallelize SQL query on every single node and utilize CPU
more efficiently.
was:
If we run SQL query on cache partitioned over several cluster nodes, it will be
split into several queries running in parallel. But really we will have one
thread per query on each node.
So, for now, to improve SQL query performance we need to run more Ignite
instances or split caches manually.
It seems to be better to split SQL queries over cache partitions, so we would
be able to parallelize SQL query on every single node and utilize CPU more
efficiently.
> SQL: parallelize sql queries over cache local partitions
> --------------------------------------------------------
>
> Key: IGNITE-4106
> URL: https://issues.apache.org/jira/browse/IGNITE-4106
> Project: Ignite
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.6, 1.7
> Reporter: Andrew Mashenkov
> Assignee: Andrew Mashenkov
> Labels: performance
>
> If we run SQL query on cache partitioned over several cluster nodes, it will
> be split into several queries running in parallel. But really we will have
> one thread per query on each node.
> So, for now, to improve SQL query performance we need to run more Ignite
> instances or split caches manually.
> It seems to be better to split local SQL queries over cache partitions, so we
> would be able to parallelize SQL query on every single node and utilize CPU
> more efficiently.
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