Saving all output to "!!{outputDirectory}!!/groupby7_noskew_multi_single_reducer.q.raw". Enter "record" with no arguments to stop it.
>>>  !run !!{qFileDirectory}!!/groupby7_noskew_multi_single_reducer.q
>>>  set hive.map.aggr=false;
No rows affected 
>>>  set hive.groupby.skewindata=false;
No rows affected 
>>>  set mapred.reduce.tasks=31;
No rows affected 
>>>  
>>>  CREATE TABLE DEST1(key INT, value STRING) STORED AS TEXTFILE;
No rows affected 
>>>  CREATE TABLE DEST2(key INT, value STRING) STORED AS TEXTFILE;
No rows affected 
>>>  
>>>  SET hive.exec.compress.intermediate=true;
No rows affected 
>>>  SET hive.exec.compress.output=true;
No rows affected 
>>>  
>>>  EXPLAIN 
FROM SRC 
INSERT OVERWRITE TABLE DEST1 SELECT SRC.key, sum(SUBSTR(SRC.value,5)) GROUP BY SRC.key limit 10 
INSERT OVERWRITE TABLE DEST2 SELECT SRC.key, sum(SUBSTR(SRC.value,5)) GROUP BY SRC.key limit 10;
'Explain'
'ABSTRACT SYNTAX TREE:'
'  (TOK_QUERY (TOK_FROM (TOK_TABREF (TOK_TABNAME SRC))) (TOK_INSERT (TOK_DESTINATION (TOK_TAB (TOK_TABNAME DEST1))) (TOK_SELECT (TOK_SELEXPR (. (TOK_TABLE_OR_COL SRC) key)) (TOK_SELEXPR (TOK_FUNCTION sum (TOK_FUNCTION SUBSTR (. (TOK_TABLE_OR_COL SRC) value) 5)))) (TOK_GROUPBY (. (TOK_TABLE_OR_COL SRC) key)) (TOK_LIMIT 10)) (TOK_INSERT (TOK_DESTINATION (TOK_TAB (TOK_TABNAME DEST2))) (TOK_SELECT (TOK_SELEXPR (. (TOK_TABLE_OR_COL SRC) key)) (TOK_SELEXPR (TOK_FUNCTION sum (TOK_FUNCTION SUBSTR (. (TOK_TABLE_OR_COL SRC) value) 5)))) (TOK_GROUPBY (. (TOK_TABLE_OR_COL SRC) key)) (TOK_LIMIT 10)))'
''
'STAGE DEPENDENCIES:'
'  Stage-2 is a root stage'
'  Stage-3 depends on stages: Stage-2'
'  Stage-0 depends on stages: Stage-3'
'  Stage-4 depends on stages: Stage-0'
'  Stage-5 depends on stages: Stage-2'
'  Stage-1 depends on stages: Stage-5'
'  Stage-6 depends on stages: Stage-1'
''
'STAGE PLANS:'
'  Stage: Stage-2'
'    Map Reduce'
'      Alias -> Map Operator Tree:'
'        src '
'          TableScan'
'            alias: src'
'            Select Operator'
'              expressions:'
'                    expr: key'
'                    type: string'
'                    expr: value'
'                    type: string'
'              outputColumnNames: key, value'
'              Reduce Output Operator'
'                key expressions:'
'                      expr: key'
'                      type: string'
'                sort order: +'
'                Map-reduce partition columns:'
'                      expr: key'
'                      type: string'
'                tag: -1'
'                value expressions:'
'                      expr: substr(value, 5)'
'                      type: string'
'      Reduce Operator Tree:'
'        Forward'
'          Group By Operator'
'            aggregations:'
'                  expr: sum(VALUE._col0)'
'            bucketGroup: false'
'            keys:'
'                  expr: KEY._col0'
'                  type: string'
'            mode: complete'
'            outputColumnNames: _col0, _col1'
'            Select Operator'
'              expressions:'
'                    expr: _col0'
'                    type: string'
'                    expr: _col1'
'                    type: double'
'              outputColumnNames: _col0, _col1'
'              Limit'
'                File Output Operator'
'                  compressed: true'
'                  GlobalTableId: 0'
'                  table:'
'                      input format: org.apache.hadoop.mapred.SequenceFileInputFormat'
'                      output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat'
'          Group By Operator'
'            aggregations:'
'                  expr: sum(VALUE._col0)'
'            bucketGroup: false'
'            keys:'
'                  expr: KEY._col0'
'                  type: string'
'            mode: complete'
'            outputColumnNames: _col0, _col1'
'            Select Operator'
'              expressions:'
'                    expr: _col0'
'                    type: string'
'                    expr: _col1'
'                    type: double'
'              outputColumnNames: _col0, _col1'
'              Limit'
'                File Output Operator'
'                  compressed: true'
'                  GlobalTableId: 0'
'                  table:'
'                      input format: org.apache.hadoop.mapred.SequenceFileInputFormat'
'                      output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat'
''
'  Stage: Stage-3'
'    Map Reduce'
'      Alias -> Map Operator Tree:'
'        file:!!{hive.exec.scratchdir}!! '
'            Reduce Output Operator'
'              sort order: '
'              tag: -1'
'              value expressions:'
'                    expr: _col0'
'                    type: string'
'                    expr: _col1'
'                    type: double'
'      Reduce Operator Tree:'
'        Extract'
'          Limit'
'            Select Operator'
'              expressions:'
'                    expr: UDFToInteger(_col0)'
'                    type: int'
'                    expr: _col1'
'                    type: double'
'              outputColumnNames: _col0, _col1'
'              File Output Operator'
'                compressed: true'
'                GlobalTableId: 1'
'                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'
'                    name: groupby7_noskew_multi_single_reducer.dest1'
''
'  Stage: Stage-0'
'    Move Operator'
'      tables:'
'          replace: true'
'          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'
'              name: groupby7_noskew_multi_single_reducer.dest1'
''
'  Stage: Stage-4'
'    Stats-Aggr Operator'
''
'  Stage: Stage-5'
'    Map Reduce'
'      Alias -> Map Operator Tree:'
'        file:!!{hive.exec.scratchdir}!! '
'            Reduce Output Operator'
'              sort order: '
'              tag: -1'
'              value expressions:'
'                    expr: _col0'
'                    type: string'
'                    expr: _col1'
'                    type: double'
'      Reduce Operator Tree:'
'        Extract'
'          Limit'
'            Select Operator'
'              expressions:'
'                    expr: UDFToInteger(_col0)'
'                    type: int'
'                    expr: _col1'
'                    type: double'
'              outputColumnNames: _col0, _col1'
'              File Output Operator'
'                compressed: true'
'                GlobalTableId: 2'
'                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'
'                    name: groupby7_noskew_multi_single_reducer.dest2'
''
'  Stage: Stage-1'
'    Move Operator'
'      tables:'
'          replace: true'
'          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'
'              name: groupby7_noskew_multi_single_reducer.dest2'
''
'  Stage: Stage-6'
'    Stats-Aggr Operator'
''
''
176 rows selected 
>>>  
>>>  FROM SRC 
INSERT OVERWRITE TABLE DEST1 SELECT SRC.key, sum(SUBSTR(SRC.value,5)) GROUP BY SRC.key limit 10 
INSERT OVERWRITE TABLE DEST2 SELECT SRC.key, sum(SUBSTR(SRC.value,5)) GROUP BY SRC.key limit 10;
'_col0','_col1'
No rows selected 
>>>  
>>>  SELECT DEST1.* FROM DEST1 ORDER BY key ASC, value ASC;
'key','value'
'0','0.0'
'10','10.0'
'11','11.0'
'100','200.0'
'103','206.0'
'104','208.0'
'105','105.0'
'111','111.0'
'113','226.0'
'114','114.0'
10 rows selected 
>>>  SELECT DEST2.* FROM DEST2 ORDER BY key ASC, value ASC;
'key','value'
'0','0.0'
'10','10.0'
'11','11.0'
'100','200.0'
'103','206.0'
'104','208.0'
'105','105.0'
'111','111.0'
'113','226.0'
'114','114.0'
10 rows selected 
>>>  !record