[ https://issues.apache.org/jira/browse/HADOOP-18296?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17957045#comment-17957045 ]
ASF GitHub Bot commented on HADOOP-18296: ----------------------------------------- steveloughran opened a new pull request, #7732: URL: https://github.com/apache/hadoop/pull/7732 ### Description of PR * Lets you turn off checksumming in local fs (but not hdfs!) with option `file.verify-checksum` * Has copy of Parquet's `TrackingByteBufferAllocator`, modified for Hadoop APIs and named `TrackingByteBufferPool`; not yet used in tests. * New capability "fs.capability.vectoredio.sliced" to declare that you slice buffers. ### How was this patch tested? no tests yet. ### For code changes: - [X] Does the title or this PR starts with the corresponding JIRA issue id (e.g. 'HADOOP-17799. Your PR title ...')? - [ ] Object storage: have the integration tests been executed and the endpoint declared according to the connector-specific documentation? - [ ] If adding new dependencies to the code, are these dependencies licensed in a way that is compatible for inclusion under [ASF 2.0](http://www.apache.org/legal/resolved.html#category-a)? - [ ] If applicable, have you updated the `LICENSE`, `LICENSE-binary`, `NOTICE-binary` files? > Memory fragmentation in ChecksumFileSystem Vectored IO implementation. > ---------------------------------------------------------------------- > > Key: HADOOP-18296 > URL: https://issues.apache.org/jira/browse/HADOOP-18296 > Project: Hadoop Common > Issue Type: Sub-task > Components: common > Affects Versions: 3.4.0 > Reporter: Mukund Thakur > Assignee: Steve Loughran > Priority: Minor > Labels: fs > > As we have implemented merging of ranges in the ChecksumFSInputChecker > 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). > > Note this only happens for direct byte buffers. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: common-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: common-issues-h...@hadoop.apache.org