[ https://issues.apache.org/jira/browse/HIVE-19586?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16496728#comment-16496728 ]
Jesus Camacho Rodriguez commented on HIVE-19586: ------------------------------------------------ There seems to be a history of failures due to flakiness with TestSSL: https://issues.apache.org/jira/issues/?jql=%20(%20summary%20~%20%22TestSSL%22%20or%20description%20~%20%22TestSSL%22%20or%20description%20~%20%22TestSSL.q%22%20)%0Aand%20project%20%3D%20hive%20order%20by%20updated%20desc One of the tests within TestSSL is already disabled as part of HIVE-19509 (testSSLFetchHttp). I think it should be OK to disable TestSSL and explore why the test is failing intermittently in a new issue. [~prasanth_j], other thoughts? > Optimize Count(distinct X) pushdown based on the storage capabilities > ---------------------------------------------------------------------- > > Key: HIVE-19586 > URL: https://issues.apache.org/jira/browse/HIVE-19586 > Project: Hive > Issue Type: Improvement > Components: Druid integration, Logical Optimizer > Reporter: slim bouguerra > Assignee: slim bouguerra > Priority: Major > Attachments: HIVE-19586.2.patch, HIVE-19586.3.patch, > HIVE-19586.3.patch, HIVE-19586.4.patch, HIVE-19586.5.patch, > HIVE-19586.6.patch, HIVE-19586.patch > > > h1. Goal > Provide a way to rewrite queries with combination of COUNT(Distinct) and > Aggregates like SUM as a series of Group By. > This can be useful to push down to Druid queries like > {code} > select count(DISTINCT interval_marker), count (distinct dim), sum(num_l) > FROM druid_test_table GROUP BY `__time`, `zone` ; > {code} > In general this can be useful to be used in cases where storage handlers can > not perform count (distinct column) > h1. How to do it. > Use the Calcite rule {code} > org.apache.calcite.rel.rules.AggregateExpandDistinctAggregatesRule{code} that > breaks down Count distinct to a single Group by with Grouping sets or > multiple series of Group by that might be linked with Joins if multiple > counts are present. > FYI today Hive does have a similar rule {code} > org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveExpandDistinctAggregatesRule{code}, > but it only provides a rewrite to Grouping sets based plan. > I am planing to use the actual Calcite rule, [~ashutoshc] any concerns or > caveats to be aware of? > h2. Concerns/questions > Need to have a way to switch between Grouping sets or Simple chained group by > based on the plan cost. For instance for Druid based scan it makes always > sense (at least today) to push down a series of Group by and stitch result > sets in Hive later (as oppose to scan everything). > But this might be not true for other storage handler that can handle Grouping > sets it is better to push down the Grouping sets as one table scan. > Am still unsure how i can lean on the cost optimizer to select the best plan, > [~ashutoshc]/[~jcamachorodriguez] any inputs? -- This message was sent by Atlassian JIRA (v7.6.3#76005)