[ https://issues.apache.org/jira/browse/HIVE-8851?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Stamatis Zampetakis updated HIVE-8851: -------------------------------------- I cleared the fixVersion field since this ticket is still open. Please review this ticket and if the fix is already committed to a specific version please set the version accordingly and mark the ticket as RESOLVED. According to the [JIRA guidelines|https://cwiki.apache.org/confluence/display/Hive/HowToContribute] the fixVersion should be set only when the issue is resolved/closed. > Broadcast files for small tables via SparkContext.addFile() and > SparkFiles.get() [Spark Branch] > ----------------------------------------------------------------------------------------------- > > Key: HIVE-8851 > URL: https://issues.apache.org/jira/browse/HIVE-8851 > Project: Hive > Issue Type: Sub-task > Components: Spark > Reporter: Xuefu Zhang > Assignee: Jimmy Xiang > Priority: Major > Fix For: spark-branch > > Attachments: HIVE-8851.1-spark.patch, HIVE-8851.2-spark.patch > > > Currently files generated by SparkHashTableSinkOperator for small tables are > written directly on HDFS with a high replication factor. When map join > happens, map join operator is going to load these files into hash tables. > Since on multiple partitions can be process on the same worker node, reading > the same set of files multiple times are not ideal. The improvment can be > done by calling SparkContext.addFiles() on these files, and use > SparkFiles.getFile() to download them to the worker node just once. > Please note that SparkFiles.getFile() is a static method. Code invoking this > method needs to be in a static method. This calling method needs to be > synchronized because it may get called in different threads. -- This message was sent by Atlassian Jira (v8.20.10#820010)