GitHub user zzcclp opened a pull request:
https://github.com/apache/carbondata/pull/1982
[CARBONDATA-2184]Improve memory reuse for heap memory in
`HeapMemoryAllocator`
The description in
[SPARK-21860](https://issues.apache.org/jira/browse/SPARK-21860):
In `HeapMemoryAllocator`, when allocating memory from pool, and the key of
pool is memory size.
Actually some size of memory ,such as 1025bytes,1026bytes,......1032bytes,
we can think they are the sameï¼because we allocate memory in multiples of 8
bytes.
In this case, we can improve memory reuse.
Be sure to do all of the following checklist to help us incorporate
your contribution quickly and easily:
- [ ] Any interfaces changed? No
- [ ] Any backward compatibility impacted? No
- [ ] Document update required? No
- [ ] Testing done
Please provide details on
- Whether new unit test cases have been added or why no new tests
are required?
- How it is tested? Please attach test report.
- Is it a performance related change? Please attach the performance
test report.
- Any additional information to help reviewers in testing this
change.
- [ ] For large changes, please consider breaking it into sub-tasks under
an umbrella JIRA.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/zzcclp/carbondata CARBONDATA-2184
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/carbondata/pull/1982.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #1982
----
commit d5911880c37c463ed752d82343035a15f96aa81e
Author: Zhang Zhichao <441586683@...>
Date: 2018-02-17T16:55:04Z
[CARBONDATA-2184]Improve memory reuse for heap memory in
`HeapMemoryAllocator`
The description in
[SPARK-21860|https://issues.apache.org/jira/browse/SPARK-21860]:
In `HeapMemoryAllocator`, when allocating memory from pool, and the key of
pool is memory size.
Actually some size of memory ,such as 1025bytes,1026bytes,......1032bytes,
we can think they are the sameï¼because we allocate memory in multiples of 8
bytes.
In this case, we can improve memory reuse.
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