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https://issues.apache.org/jira/browse/HIVE-10550?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14560342#comment-14560342
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Hive QA commented on HIVE-10550:
--------------------------------
{color:red}Overall{color}: -1 at least one tests failed
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12735497/HIVE-10550.5-spark.patch
{color:red}ERROR:{color} -1 due to 14 failed/errored test(s), 8721 tests
executed
*Failed tests:*
{noformat}
TestMinimrCliDriver-bucket6.q-scriptfile1_win.q-quotedid_smb.q-and-1-more - did
not produce a TEST-*.xml file
TestMinimrCliDriver-bucketizedhiveinputformat.q-empty_dir_in_table.q - did not
produce a TEST-*.xml file
TestMinimrCliDriver-groupby2.q-infer_bucket_sort_map_operators.q-load_hdfs_file_with_space_in_the_name.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-import_exported_table.q-truncate_column_buckets.q-bucket_num_reducers2.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-index_bitmap3.q-infer_bucket_sort_num_buckets.q-parallel_orderby.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-infer_bucket_sort_reducers_power_two.q-join1.q-infer_bucket_sort_bucketed_table.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-leftsemijoin_mr.q-bucket5.q-infer_bucket_sort_merge.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-list_bucket_dml_10.q-input16_cc.q-temp_table_external.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-ql_rewrite_gbtoidx.q-bucket_num_reducers.q-scriptfile1.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-ql_rewrite_gbtoidx_cbo_2.q-bucketmapjoin6.q-bucket4.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-reduce_deduplicate.q-infer_bucket_sort_dyn_part.q-udf_using.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-schemeAuthority2.q-uber_reduce.q-ql_rewrite_gbtoidx_cbo_1.q-and-1-more
- did not produce a TEST-*.xml file
TestMinimrCliDriver-stats_counter_partitioned.q-external_table_with_space_in_location_path.q-disable_merge_for_bucketing.q-and-1-more
- did not produce a TEST-*.xml file
org.apache.hive.jdbc.TestSSL.testSSLConnectionWithProperty
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/866/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/866/console
Test logs:
http://ec2-50-18-27-0.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-866/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 14 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12735497 - PreCommit-HIVE-SPARK-Build
> Dynamic RDD caching optimization for HoS.[Spark Branch]
> -------------------------------------------------------
>
> Key: HIVE-10550
> URL: https://issues.apache.org/jira/browse/HIVE-10550
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Chengxiang Li
> Assignee: Chengxiang Li
> Attachments: HIVE-10550.1-spark.patch, HIVE-10550.1.patch,
> HIVE-10550.2-spark.patch, HIVE-10550.3-spark.patch, HIVE-10550.4-spark.patch,
> HIVE-10550.5-spark.patch
>
>
> A Hive query may try to scan the same table multi times, like self-join,
> self-union, or even share the same subquery, [TPC-DS
> Q39|https://github.com/hortonworks/hive-testbench/blob/hive14/sample-queries-tpcds/query39.sql]
> is an example. As you may know that, Spark support cache RDD data, which
> mean Spark would put the calculated RDD data in memory and get the data from
> memory directly for next time, this avoid the calculation cost of this
> RDD(and all the cost of its dependencies) at the cost of more memory usage.
> Through analyze the query context, we should be able to understand which part
> of query could be shared, so that we can reuse the cached RDD in the
> generated Spark job.
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