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https://issues.apache.org/jira/browse/HIVE-16166?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15928202#comment-15928202
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Sergio Peña commented on HIVE-16166:
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[~mi...@cloudera.com] HiveQA already finished, but it could not post the
results on the JIRA.
Here are the results:
https://builds.apache.org/view/H-L/view/Hive/job/PreCommit-HIVE-Build/4164/
Test Result (10 failures / +10)
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[dynamic_partition_pruning_2]
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[llap_partitioned]
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorized_dynamic_partition_pruning]
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorization_part]
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[dynamic_partition_pruning]
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorization_part_varchar]
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[dynamic_semijoin_reduction]
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[special_character_in_tabnames_1]
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[metadataonly1]
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[vector_join_part_col_char]
> HS2 may still waste up to 15% of memory on duplicate strings
> ------------------------------------------------------------
>
> Key: HIVE-16166
> URL: https://issues.apache.org/jira/browse/HIVE-16166
> Project: Hive
> Issue Type: Improvement
> Reporter: Misha Dmitriev
> Assignee: Misha Dmitriev
> Attachments: ch_2_excerpt.txt, HIVE-16166.01.patch
>
>
> A heap dump obtained from one of our users shows that 15% of memory is wasted
> on duplicate strings, despite the recent optimizations that I made. The
> problematic strings just come from different sources this time. See the
> excerpt from the jxray (www.jxray.com) analysis attached.
> Adding String.intern() calls in the appropriate places reduces the overhead
> of duplicate strings with this workload to ~6%. The remaining duplicates come
> mostly from JDK internal and MapReduce data structures, and thus are more
> difficult to fix.
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