[
https://issues.apache.org/jira/browse/HIVE-20260?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16562264#comment-16562264
]
Hive QA commented on HIVE-20260:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12933608/HIVE-20260.01wip02.patch
{color:green}SUCCESS:{color} +1 due to 2 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 59 failed/errored test(s), 14816 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[annotate_stats_deep_filters]
(batchId=95)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[stat_estimate_drill]
(batchId=13)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[stat_estimate_related_col]
(batchId=42)
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[explainuser_2]
(batchId=154)
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[unionDistinct_1]
(batchId=152)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[auto_join29]
(batchId=170)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[auto_smb_mapjoin_14]
(batchId=171)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[auto_sortmerge_join_10]
(batchId=175)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[auto_sortmerge_join_9]
(batchId=173)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[bucket_map_join_tez2]
(batchId=158)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[bucketsortoptimize_insert_7]
(batchId=170)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[constprog_semijoin]
(batchId=172)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[dynamic_semijoin_reduction_sw2]
(batchId=176)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[dynpart_sort_opt_vectorization]
(batchId=169)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[explainuser_1]
(batchId=165)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[explainuser_4]
(batchId=166)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[filter_join_breaktask]
(batchId=175)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[groupby_groupingset_bug]
(batchId=178)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[hybridgrace_hashjoin_1]
(batchId=162)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[load_dyn_part1]
(batchId=178)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[offset_limit_ppd_optimizer]
(batchId=173)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[orc_llap]
(batchId=168)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[orc_predicate_pushdown]
(batchId=157)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[parquet_predicate_pushdown]
(batchId=162)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[reopt_semijoin]
(batchId=178)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[retry_failure_stat_changes]
(batchId=160)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[sample10]
(batchId=168)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[sample10_mm]
(batchId=170)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[semijoin6]
(batchId=178)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[semijoin7]
(batchId=156)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[semijoin]
(batchId=161)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[skewjoin]
(batchId=161)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[smb_mapjoin_14]
(batchId=172)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[subquery_exists]
(batchId=167)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[subquery_in]
(batchId=172)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[subquery_in_having]
(batchId=171)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[subquery_multi]
(batchId=160)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[subquery_notin]
(batchId=174)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[subquery_scalar]
(batchId=166)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[subquery_select]
(batchId=166)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[subquery_views]
(batchId=159)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[tez_dynpart_hashjoin_2]
(batchId=165)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[tez_fixed_bucket_pruning]
(batchId=176)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[tez_vector_dynpart_hashjoin_2]
(batchId=162)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[unionDistinct_3]
(batchId=168)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vector_mapjoin_reduce]
(batchId=177)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vector_windowing_gby2]
(batchId=173)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vector_windowing_gby]
(batchId=176)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorization_0]
(batchId=178)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorization_limit]
(batchId=165)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorization_short_regress]
(batchId=169)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorized_mapjoin]
(batchId=175)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorized_nested_mapjoin]
(batchId=160)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorized_shufflejoin]
(batchId=175)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[windowing_gby]
(batchId=167)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_explainuser_1]
(batchId=187)
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[explainanalyze_1]
(batchId=106)
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[explainanalyze_4]
(batchId=107)
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[hybridgrace_hashjoin_1]
(batchId=106)
{noformat}
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/12945/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/12945/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-12945/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 59 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12933608 - PreCommit-HIVE-Build
> NDV of a column shouldn't be scaled when row count is changed by filter on
> another column
> -----------------------------------------------------------------------------------------
>
> Key: HIVE-20260
> URL: https://issues.apache.org/jira/browse/HIVE-20260
> Project: Hive
> Issue Type: Improvement
> Components: Statistics
> Reporter: Ashutosh Chauhan
> Assignee: Zoltan Haindrich
> Priority: Major
> Attachments: HIVE-20260.01wip01.patch, HIVE-20260.01wip02.patch
>
>
> HIVE-17465 introduced progressive scaling of rowcounts in presence of
> multiple filters. HIVE-19500 improved on that by also scaling col stats (NDV)
> in such scenario. However, it should pay attention to column used in filter
> expression and not scale for all filters. eg.,
> consider filter a = 1 and b = 2 ndv of column b should not be scaled down by
> row count changes caused by a = 1
> Other way to say this that ndv of a particular column should be updated at
> the end of computation of row count for that operator.
> Here are the possible cases where our estimates can be accurate (or close to)
> {code}
> case 1 - (d_year = 2001 and d_moy=1)
> case 2 - (d_year = 2001 and d_year IN (2001, 2002))
> case 3 - (d_year = 2001 and d_moy = 1 and d_dom = 1)
> case 4 - (d_date IN ('1999-01-02', '1999-01-02'))
> case 5 - (d_date = '1999-01-01')
> {code}
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