Mukund Thakur created HADOOP-18106:
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Summary: Handle memory fragmentation in S3 Vectored IO
implementation.
Key: HADOOP-18106
URL: https://issues.apache.org/jira/browse/HADOOP-18106
Project: Hadoop Common
Issue Type: Sub-task
Components: fs/s3
Reporter: Mukund Thakur
Assignee: Mukund Thakur
As we have implemented merging of ranges in the S3AInputStream implementation
of vectored IO api, it can lead to memory fragmentation. Let me explain by
example.
Suppose client requests for 3 ranges.
0-500, 700-1000 and 1200-1500.
Now because of merging, all the above ranges will get merged into one and we
will allocate a big byte buffer of 0-1500 size but return sliced byte buffers
for the desired ranges.
Now once the client is done reading all the ranges, it will only be able to
free the memory for requested ranges and memory of the gaps will never be
released for eg here (500-700 and 1000-1200).
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