You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@hive.apache.org by "liyunzhang_intel (JIRA)" <ji...@apache.org> on 2017/10/23 05:24:00 UTC
[jira] [Updated] (HIVE-16948) Invalid explain when running dynamic
partition pruning query in Hive On Spark
[ https://issues.apache.org/jira/browse/HIVE-16948?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
liyunzhang_intel updated HIVE-16948:
------------------------------------
Attachment: 17193_compare_RS_in_Map_5_1.PNG
> Invalid explain when running dynamic partition pruning query in Hive On Spark
> -----------------------------------------------------------------------------
>
> Key: HIVE-16948
> URL: https://issues.apache.org/jira/browse/HIVE-16948
> Project: Hive
> Issue Type: Bug
> Reporter: liyunzhang_intel
> Assignee: liyunzhang_intel
> Fix For: 3.0.0
>
> Attachments: 17193_compare_RS_in_Map_5_1.PNG, HIVE-16948.2.patch, HIVE-16948.5.patch, HIVE-16948.6.patch, HIVE-16948.7.patch, HIVE-16948.patch, HIVE-16948_1.patch
>
>
> in [union_subquery.q|https://github.com/apache/hive/blob/master/ql/src/test/queries/clientpositive/spark_dynamic_partition_pruning.q#L107] in spark_dynamic_partition_pruning.q
> {code}
> set hive.optimize.ppd=true;
> set hive.ppd.remove.duplicatefilters=true;
> set hive.spark.dynamic.partition.pruning=true;
> set hive.optimize.metadataonly=false;
> set hive.optimize.index.filter=true;
> set hive.strict.checks.cartesian.product=false;
> explain select ds from (select distinct(ds) as ds from srcpart union all select distinct(ds) as ds from srcpart) s where s.ds in (select max(srcpart.ds) from srcpart union all select min(srcpart.ds) from srcpart);
> {code}
> explain
> {code}
> STAGE DEPENDENCIES:
> Stage-2 is a root stage
> Stage-1 depends on stages: Stage-2
> Stage-0 depends on stages: Stage-1
> STAGE PLANS:
> Stage: Stage-2
> Spark
> Edges:
> Reducer 11 <- Map 10 (GROUP, 1)
> Reducer 13 <- Map 12 (GROUP, 1)
> DagName: root_20170622231525_20a777e5-e659-4138-b605-65f8395e18e2:2
> Vertices:
> Map 10
> Map Operator Tree:
> TableScan
> alias: srcpart
> Statistics: Num rows: 1 Data size: 23248 Basic stats: PARTIAL Column stats: NONE
> Select Operator
> expressions: ds (type: string)
> outputColumnNames: ds
> Statistics: Num rows: 1 Data size: 23248 Basic stats: PARTIAL Column stats: NONE
> Group By Operator
> aggregations: max(ds)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Reduce Output Operator
> sort order:
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> value expressions: _col0 (type: string)
> Map 12
> Map Operator Tree:
> TableScan
> alias: srcpart
> Statistics: Num rows: 1 Data size: 23248 Basic stats: PARTIAL Column stats: NONE
> Select Operator
> expressions: ds (type: string)
> outputColumnNames: ds
> Statistics: Num rows: 1 Data size: 23248 Basic stats: PARTIAL Column stats: NONE
> Group By Operator
> aggregations: min(ds)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Reduce Output Operator
> sort order:
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> value expressions: _col0 (type: string)
> Reducer 11
> Reduce Operator Tree:
> Group By Operator
> aggregations: max(VALUE._col0)
> mode: mergepartial
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Filter Operator
> predicate: _col0 is not null (type: boolean)
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: string)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Select Operator
> expressions: _col0 (type: string)
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: string)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Spark Partition Pruning Sink Operator
> partition key expr: ds
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> target column name: ds
> target work: Map 1
> Select Operator
> expressions: _col0 (type: string)
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: string)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Spark Partition Pruning Sink Operator
> partition key expr: ds
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> target column name: ds
> target work: Map 4
> Reducer 13
> Reduce Operator Tree:
> Group By Operator
> aggregations: min(VALUE._col0)
> mode: mergepartial
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Filter Operator
> predicate: _col0 is not null (type: boolean)
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: string)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Select Operator
> expressions: _col0 (type: string)
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: string)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Spark Partition Pruning Sink Operator
> partition key expr: ds
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> target column name: ds
> target work: Map 1
> Select Operator
> expressions: _col0 (type: string)
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: string)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Spark Partition Pruning Sink Operator
> partition key expr: ds
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> target column name: ds
> target work: Map 4
> Stage: Stage-1
> Spark
> Edges:
> Reducer 2 <- Map 1 (GROUP, 2)
> Reducer 3 <- Reducer 2 (PARTITION-LEVEL SORT, 2), Reducer 2 (PARTITION-LEVEL SORT, 2), Reducer 7 (PARTITION-LEVEL SORT, 2), Reducer 9 (PARTITION-LEVEL SORT, 2)
> Reducer 7 <- Map 6 (GROUP, 1)
> Reducer 9 <- Map 8 (GROUP, 1)
> DagName: root_20170622231525_20a777e5-e659-4138-b605-65f8395e18e2:1
> Vertices:
> Map 1
> Map Operator Tree:
> TableScan
> alias: srcpart
> filterExpr: ds is not null (type: boolean)
> Statistics: Num rows: 1 Data size: 23248 Basic stats: PARTIAL Column stats: NONE
> Group By Operator
> keys: ds (type: string)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 23248 Basic stats: COMPLETE Column stats: NONE
> Reduce Output Operator
> key expressions: _col0 (type: string)
> sort order: +
> Map-reduce partition columns: _col0 (type: string)
> Statistics: Num rows: 1 Data size: 23248 Basic stats: COMPLETE Column stats: NONE
> Map 6
> Map Operator Tree:
> TableScan
> alias: srcpart
> Statistics: Num rows: 1 Data size: 23248 Basic stats: PARTIAL Column stats: NONE
> Select Operator
> expressions: ds (type: string)
> outputColumnNames: ds
> Statistics: Num rows: 1 Data size: 23248 Basic stats: PARTIAL Column stats: NONE
> Group By Operator
> aggregations: max(ds)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Reduce Output Operator
> sort order:
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> value expressions: _col0 (type: string)
> Map 8
> Map Operator Tree:
> TableScan
> alias: srcpart
> Statistics: Num rows: 1 Data size: 23248 Basic stats: PARTIAL Column stats: NONE
> Select Operator
> expressions: ds (type: string)
> outputColumnNames: ds
> Statistics: Num rows: 1 Data size: 23248 Basic stats: PARTIAL Column stats: NONE
> Group By Operator
> aggregations: min(ds)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Reduce Output Operator
> sort order:
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> value expressions: _col0 (type: string)
> Reducer 2
> Reduce Operator Tree:
> Group By Operator
> keys: KEY._col0 (type: string)
> mode: mergepartial
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 23248 Basic stats: COMPLETE Column stats: NONE
> Reduce Output Operator
> key expressions: _col0 (type: string)
> sort order: +
> Map-reduce partition columns: _col0 (type: string)
> Statistics: Num rows: 2 Data size: 46496 Basic stats: COMPLETE Column stats: NONE
> Reducer 3
> Reduce Operator Tree:
> Join Operator
> condition map:
> Left Semi Join 0 to 1
> keys:
> 0 _col0 (type: string)
> 1 _col0 (type: string)
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 51145 Basic stats: COMPLETE Column stats: NONE
> File Output Operator
> compressed: false
> Statistics: Num rows: 2 Data size: 51145 Basic stats: COMPLETE Column stats: NONE
> table:
> input format: org.apache.hadoop.mapred.SequenceFileInputFormat
> output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
> serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
> Reducer 7
> Reduce Operator Tree:
> Group By Operator
> aggregations: max(VALUE._col0)
> mode: mergepartial
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Filter Operator
> predicate: _col0 is not null (type: boolean)
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: string)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Reduce Output Operator
> key expressions: _col0 (type: string)
> sort order: +
> Map-reduce partition columns: _col0 (type: string)
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Reducer 9
> Reduce Operator Tree:
> Group By Operator
> aggregations: min(VALUE._col0)
> mode: mergepartial
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Filter Operator
> predicate: _col0 is not null (type: boolean)
> Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
> Group By Operator
> keys: _col0 (type: string)
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Reduce Output Operator
> key expressions: _col0 (type: string)
> sort order: +
> Map-reduce partition columns: _col0 (type: string)
> Statistics: Num rows: 2 Data size: 368 Basic stats: COMPLETE Column stats: NONE
> Stage: Stage-0
> Fetch Operator
> limit: -1
> Processor Tree:
> ListSink
> {code}
> the target work of Reducer11 and Reducer13 is Map4 , but Map4 does not exist in the explain
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)