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https://issues.apache.org/jira/browse/HIVE-10302?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14568170#comment-14568170
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Sergey Shelukhin commented on HIVE-10302:
-----------------------------------------
Hi. This appears to have broken the build:
{noformat}
[ERROR] Failed to execute goal
org.apache.maven.plugins:maven-compiler-plugin:3.1:compile (default-compile) on
project hive-exec: Compilation failure: Compilation failure:
[ERROR]
/Users/sergey/git/hive/ql/src/java/org/apache/hadoop/hive/ql/exec/spark/HivePairFlatMapFunction.java:[51,7]
cannot find symbol
[ERROR] symbol: variable SmallTableCache
[ERROR] location: class
org.apache.hadoop.hive.ql.exec.spark.HivePairFlatMapFunction<T,K,V>
[ERROR]
/Users/sergey/git/hive/ql/src/java/org/apache/hadoop/hive/ql/exec/spark/HashTableLoader.java:[129,42]
cannot find symbol
[ERROR] symbol: variable SmallTableCache
[ERROR] location: class org.apache.hadoop.hive.ql.exec.spark.HashTableLoader
[ERROR]
/Users/sergey/git/hive/ql/src/java/org/apache/hadoop/hive/ql/exec/spark/HashTableLoader.java:[132,24]
cannot find symbol
[ERROR] symbol: variable SmallTableCache
[ERROR] location: class org.apache.hadoop.hive.ql.exec.spark.HashTableLoader
[ERROR]
/Users/sergey/git/hive/ql/src/java/org/apache/hadoop/hive/ql/exec/spark/HashTableLoader.java:[135,11]
cannot find symbol
[ERROR] symbol: variable SmallTableCache
[ERROR] location: class org.apache.hadoop.hive.ql.exec.spark.HashTableLoader
[ERROR] -> [Help 1]
{noformat}.
Can you please revert or fix?
> Load small tables (for map join) in executor memory only once [Spark Branch]
> ----------------------------------------------------------------------------
>
> Key: HIVE-10302
> URL: https://issues.apache.org/jira/browse/HIVE-10302
> Project: Hive
> Issue Type: Improvement
> Reporter: Jimmy Xiang
> Assignee: Jimmy Xiang
> Fix For: 1.3.0
>
> Attachments: 10302.patch, HIVE-10302.2-spark.patch,
> HIVE-10302.3-spark.patch, HIVE-10302.4-spark.patch, HIVE-10302.spark-1.patch
>
>
> Usually there are multiple cores in a Spark executor, and thus it's possible
> that multiple map-join tasks can be running in the same executor
> (concurrently or sequentially). Currently, each task will load its own copy
> of the small tables for map join into memory, ending up with inefficiency.
> Ideally, we only load the small tables once and share them among the tasks
> running in that executor.
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