余良

HADOOP-19052.Hadoop use Shell command to get the count of the hard link which takes a lot of time

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### Description of PR As described in [HADOOP_19052](https://issues.apache.org/jira/browse/HADOOP-19052). When we try to append a file, we will execute method `getHardLinkCount` twice. When we execute method `getHardLinkCount` java will start a...

[FLINK-36112][Connector/Filesystem].Add Support for CreateFlag.NO_LOCAL_WRITE in FLINK on YARN's File Creation to Manage Disk Space and Network Load in Labeled YARN Nodes

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Add Support for CreateFlag.NO_LOCAL_WRITE in FLINK on YARN's File Creation to Manage Disk Space and Network Load in Labeled YARN Nodes ## Description I am currently using Apache Flink on...

HIVE-28473:INSERT OVERWRITE LOCAL DIRECTORY writes staging files to wrong hdfs directory

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### What changes were proposed in this pull request? I modified org.apache.hadoop.hive.ql.parse.SemanticAnalyzer#createFileSinkDesc. ### Why are the changes needed? As described in [HIVE-28473](https://issues.apache.org/jira/browse/HIVE-28473). When I run sql: `INSERT OVERWRITE LOCAL DIRECTORY...

FLINK-36540.[Runtime / Task] Add Support for Hadoop Caller Context when using Flink to operate hdfs.

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… yarn ## What is the purpose of the change As described in [FLINK-36540](https://issues.apache.org/jira/browse/FLINK-36540). When we use Flink to delete or write or modify files on Hadoop filesystem, callerContext is...

HDFS-17577.Add Support for CreateFlag.NO_LOCAL_WRITE in File Creation to Manage Disk Space and Network Load in Labeled YARN Nodes

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… to Manage Disk Space and Network Load in Labeled YARN Nodes ### Description of PR As described in [HDFS-17577](https://issues.apache.org/jira/browse/HDFS-17577) I am currently using Apache Flink to write files into...

[FLINK-36540][Runtime] Add Support for Hadoop Caller Context when using Flink to operate hdfs.

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## What is the purpose of the change As described in [FLINK-36540](https://issues.apache.org/jira/browse/FLINK-36540). When we use Flink to delete or write or modify files on Hadoop filesystem, callerContext is a helpful...