[ https://issues.apache.org/jira/browse/DRILL-5374?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Robert Hou updated DRILL-5374: ------------------------------ Attachment: drill.parquet_metadata 0_0_5.parquet 0_0_4.parquet 0_0_3.parquet 0_0_2.parquet 0_0_1.parquet > Parquet filter pushdown does not prune partition with nulls when predicate > uses float column > -------------------------------------------------------------------------------------------- > > Key: DRILL-5374 > URL: https://issues.apache.org/jira/browse/DRILL-5374 > Project: Apache Drill > Issue Type: Bug > Components: Query Planning & Optimization > Affects Versions: 1.9.0 > Reporter: Robert Hou > Assignee: Jinfeng Ni > Attachments: 0_0_1.parquet, 0_0_2.parquet, 0_0_3.parquet, > 0_0_4.parquet, 0_0_5.parquet, drill.parquet_metadata > > > Drill does not prune enough partitions for this query when filter pushdown is > used with metadata caching. The float column is being compared with a double > value. > {code} > 0: jdbc:drill:zk=10.10.100.186:5181/drill/rho> select count(*) from > orders_parts_metadata where float_id < 1100.0; > {code} > To reproduce the problem, put the attached files into a directory. Then > {code} > create the metadata: > refresh table metadata dfs.`path_to_directory`; > {code} > For example, if you put the files in > /drill/testdata/filter/orders_parts_metadata, then run this sql command > {code} > refresh table metadata dfs.`/drill/testdata/filter/orders_parts_metadata`; > {code} -- This message was sent by Atlassian JIRA (v6.3.15#6346)