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Posted to dev@hive.apache.org by "Prasanth J (JIRA)" <ji...@apache.org> on 2014/11/06 01:04:35 UTC
[jira] [Resolved] (HIVE-8747) Estimate number of rows for table
with 0 rows overflows resulting in an in-efficient plan
[ https://issues.apache.org/jira/browse/HIVE-8747?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Prasanth J resolved HIVE-8747.
------------------------------
Resolution: Cannot Reproduce
Can't reproduce the issue. Please reopen it if the case is reproducible.
> Estimate number of rows for table with 0 rows overflows resulting in an in-efficient plan
> ------------------------------------------------------------------------------------------
>
> Key: HIVE-8747
> URL: https://issues.apache.org/jira/browse/HIVE-8747
> Project: Hive
> Issue Type: Bug
> Components: Physical Optimizer
> Affects Versions: 0.14.0
> Reporter: Mostafa Mokhtar
> Assignee: Prasanth J
> Priority: Critical
> Fix For: 0.14.0
>
>
> ship_mode table has 0 rows.
> Query
> {code}
> select count(*)
> from
> web_sales
> ,date_dim
> ,ship_mode
> where
> web_sales.ws_sold_date_sk = date_dim.d_date_sk
> and web_sales.ws_ship_mode_sk = ship_mode.sm_ship_mode_sk
> and d_year = 2002
> and sm_carrier in ('DIAMOND','AIRBORNE')
> {code}
> Explain
> {code}
> STAGE PLANS:
> Stage: Stage-1
> Tez
> Edges:
> Map 1 <- Map 4 (BROADCAST_EDGE)
> Map 4 <- Map 3 (BROADCAST_EDGE)
> Reducer 2 <- Map 1 (SIMPLE_EDGE)
> DagName: mmokhtar_20141105180404_59e6fb65-529f-4eaa-9446-7f34d12bffac:30
> Vertices:
> Map 1
> Map Operator Tree:
> TableScan
> alias: ship_mode
> filterExpr: ((sm_carrier) IN ('DIAMOND', 'AIRBORNE') and sm_ship_mode_sk is not null) (type: boolean)
> Statistics: Num rows: 0 Data size: 45 Basic stats: PARTIAL Column stats: COMPLETE
> Filter Operator
> predicate: ((sm_carrier) IN ('DIAMOND', 'AIRBORNE') and sm_ship_mode_sk is not null) (type: boolean)
> Statistics: Num rows: 9223372036854775807 Data size: 9223372036854775807 Basic stats: COMPLETE Column stats: COMPLETE
> Select Operator
> expressions: sm_ship_mode_sk (type: int)
> outputColumnNames: _col0
> Statistics: Num rows: 9223372036854775807 Data size: 9223372036854775807 Basic stats: COMPLETE Column stats: COMPLETE
> Map Join Operator
> condition map:
> Inner Join 0 to 1
> condition expressions:
> 0
> 1
> keys:
> 0 _col1 (type: int)
> 1 _col0 (type: int)
> input vertices:
> 0 Map 4
> Statistics: Num rows: 9223372036854775807 Data size: 0 Basic stats: PARTIAL Column stats: COMPLETE
> Select Operator
> Statistics: Num rows: 9223372036854775807 Data size: 0 Basic stats: PARTIAL Column stats: COMPLETE
> Group By Operator
> aggregations: count()
> mode: hash
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
> Reduce Output Operator
> sort order:
> Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
> value expressions: _col0 (type: bigint)
> Execution mode: vectorized
> Map 3
> Map Operator Tree:
> TableScan
> alias: date_dim
> filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
> Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: COMPLETE
> Filter Operator
> predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
> Statistics: Num rows: 652 Data size: 5216 Basic stats: COMPLETE Column stats: COMPLETE
> Select Operator
> expressions: d_date_sk (type: int)
> outputColumnNames: _col0
> Statistics: Num rows: 652 Data size: 2608 Basic stats: COMPLETE Column stats: COMPLETE
> Reduce Output Operator
> key expressions: _col0 (type: int)
> sort order: +
> Map-reduce partition columns: _col0 (type: int)
> Statistics: Num rows: 652 Data size: 2608 Basic stats: COMPLETE Column stats: COMPLETE
> Execution mode: vectorized
> Map 4
> Map Operator Tree:
> TableScan
> alias: web_sales
> filterExpr: (ws_sold_date_sk is not null and ws_ship_mode_sk is not null) (type: boolean)
> Statistics: Num rows: 143966864 Data size: 19577477788 Basic stats: COMPLETE Column stats: COMPLETE
> Filter Operator
> predicate: (ws_sold_date_sk is not null and ws_ship_mode_sk is not null) (type: boolean)
> Statistics: Num rows: 143948856 Data size: 1151518824 Basic stats: COMPLETE Column stats: COMPLETE
> Select Operator
> expressions: ws_sold_date_sk (type: int), ws_ship_mode_sk (type: int)
> outputColumnNames: _col0, _col1
> Statistics: Num rows: 143948856 Data size: 1151518824 Basic stats: COMPLETE Column stats: COMPLETE
> Map Join Operator
> condition map:
> Inner Join 0 to 1
> condition expressions:
> 0 {_col1}
> 1
> keys:
> 0 _col0 (type: int)
> 1 _col0 (type: int)
> outputColumnNames: _col1
> input vertices:
> 1 Map 3
> Statistics: Num rows: 1284818 Data size: 5139272 Basic stats: COMPLETE Column stats: COMPLETE
> Reduce Output Operator
> key expressions: _col1 (type: int)
> sort order: +
> Map-reduce partition columns: _col1 (type: int)
> Statistics: Num rows: 1284818 Data size: 5139272 Basic stats: COMPLETE Column stats: COMPLETE
> Execution mode: vectorized
> Reducer 2
> Reduce Operator Tree:
> Group By Operator
> aggregations: count(VALUE._col0)
> mode: mergepartial
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
> Select Operator
> expressions: _col0 (type: bigint)
> outputColumnNames: _col0
> Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
> File Output Operator
> compressed: false
> Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE
> table:
> input format: org.apache.hadoop.mapred.TextInputFormat
> output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
> serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
> Execution mode: vectorized
> Stage: Stage-0
> Fetch Operator
> limit: -1
> Processor Tree:
> ListSink
> {code}
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