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ASF GitHub Bot commented on HADOOP-18296: ----------------------------------------- steveloughran commented on code in PR #7732: URL: https://github.com/apache/hadoop/pull/7732#discussion_r2140379298 ########## hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/fs/LocalFileSystemConfigKeys.java: ########## @@ -42,5 +42,12 @@ public class LocalFileSystemConfigKeys extends CommonConfigurationKeys { public static final String LOCAL_FS_CLIENT_WRITE_PACKET_SIZE_KEY = "file.client-write-packet-size"; public static final int LOCAL_FS_CLIENT_WRITE_PACKET_SIZE_DEFAULT = 64*1024; + + /** + * Verify checksums on read -default is true. + * <p> + * {@value}. + */ + public static final String LOCAL_FS_VERIFY_CHECKSUM = "file.verify-checksum"; Review Comment: rename fs.file.checksum.very and delclare in core-defaults to make more visible > 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, pull-request-available > > 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