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https://issues.apache.org/jira/browse/HBASE-5474?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liyin Tang updated HBASE-5474:
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Description:
Currently, each HTable instance will have a thread pool for the multiput
operation. Each thread pool is actually a cached thread pool, which is bounded
the number of region server. So the maximum number of threads will be ( #
region server * # htable instance). On the other hand, if all HTable instance
could share this thread pool, the max number threads will still be the same.
However, it will increase the thread pool efficiency.
Also the single put requests are processed within the current thread instead of
the thread pool.
was:
Currently, each HTable instance will have a thread pool for the multiput
operation. Each thread pool is actually a cached thread pool, which is bounded
the number of region server. So the maximum number of threads will be ( #
region server * # htable instance). On the other hand, if all HTable instance
could share this thread pool, the max number threads will still be the same.
However, it will increase the thread pool efficiency.
Shared the multiput thread pool for all the HTable instance
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Key: HBASE-5474
URL: https://issues.apache.org/jira/browse/HBASE-5474
Project: HBase
Issue Type: Improvement
Reporter: Liyin Tang
Assignee: Liyin Tang
Currently, each HTable instance will have a thread pool for the multiput
operation. Each thread pool is actually a cached thread pool, which is
bounded the number of region server. So the maximum number of threads will be
( # region server * # htable instance). On the other hand, if all HTable
instance could share this thread pool, the max number threads will still be
the same. However, it will increase the thread pool efficiency.
Also the single put requests are processed within the current thread instead
of the thread pool.
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