Saving all output to "!!{outputDirectory}!!/groupby2_map_multi_distinct.q.raw". Enter "record" with no arguments to stop it.
>>>  !run !!{qFileDirectory}!!/groupby2_map_multi_distinct.q
>>>  set hive.map.aggr=true;
No rows affected 
>>>  set hive.groupby.skewindata=false;
No rows affected 
>>>  set mapred.reduce.tasks=31;
No rows affected 
>>>  
>>>  CREATE TABLE dest1(key STRING, c1 INT, c2 STRING, c3 INT, c4 INT) STORED AS TEXTFILE;
No rows affected 
>>>  
>>>  EXPLAIN 
FROM src 
INSERT OVERWRITE TABLE dest1 SELECT substr(src.key,1,1), count(DISTINCT substr(src.value,5)), concat(substr(src.key,1,1),sum(substr(src.value,5))), sum(DISTINCT substr(src.value, 5)), count(src.value) GROUP BY substr(src.key,1,1);
'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_FUNCTION substr (. (TOK_TABLE_OR_COL src) key) 1 1)) (TOK_SELEXPR (TOK_FUNCTIONDI count (TOK_FUNCTION substr (. (TOK_TABLE_OR_COL src) value) 5))) (TOK_SELEXPR (TOK_FUNCTION concat (TOK_FUNCTION substr (. (TOK_TABLE_OR_COL src) key) 1 1) (TOK_FUNCTION sum (TOK_FUNCTION substr (. (TOK_TABLE_OR_COL src) value) 5)))) (TOK_SELEXPR (TOK_FUNCTIONDI sum (TOK_FUNCTION substr (. (TOK_TABLE_OR_COL src) value) 5))) (TOK_SELEXPR (TOK_FUNCTION count (. (TOK_TABLE_OR_COL src) value)))) (TOK_GROUPBY (TOK_FUNCTION substr (. (TOK_TABLE_OR_COL src) key) 1 1))))'
''
'STAGE DEPENDENCIES:'
'  Stage-1 is a root stage'
'  Stage-0 depends on stages: Stage-1'
'  Stage-2 depends on stages: Stage-0'
''
'STAGE PLANS:'
'  Stage: Stage-1'
'    Map Reduce'
'      Alias -> Map Operator Tree:'
'        src '
'          TableScan'
'            alias: src'
'            Select Operator'
'              expressions:'
'                    expr: key'
'                    type: string'
'                    expr: value'
'                    type: string'
'              outputColumnNames: key, value'
'              Group By Operator'
'                aggregations:'
'                      expr: count(DISTINCT substr(value, 5))'
'                      expr: sum(substr(value, 5))'
'                      expr: sum(DISTINCT substr(value, 5))'
'                      expr: count(value)'
'                bucketGroup: false'
'                keys:'
'                      expr: substr(key, 1, 1)'
'                      type: string'
'                      expr: substr(value, 5)'
'                      type: string'
'                mode: hash'
'                outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5'
'                Reduce Output Operator'
'                  key expressions:'
'                        expr: _col0'
'                        type: string'
'                        expr: _col1'
'                        type: string'
'                  sort order: ++'
'                  Map-reduce partition columns:'
'                        expr: _col0'
'                        type: string'
'                  tag: -1'
'                  value expressions:'
'                        expr: _col2'
'                        type: bigint'
'                        expr: _col3'
'                        type: double'
'                        expr: _col4'
'                        type: double'
'                        expr: _col5'
'                        type: bigint'
'      Reduce Operator Tree:'
'        Group By Operator'
'          aggregations:'
'                expr: count(DISTINCT KEY._col1:0._col0)'
'                expr: sum(VALUE._col1)'
'                expr: sum(DISTINCT KEY._col1:1._col0)'
'                expr: count(VALUE._col3)'
'          bucketGroup: false'
'          keys:'
'                expr: KEY._col0'
'                type: string'
'          mode: mergepartial'
'          outputColumnNames: _col0, _col1, _col2, _col3, _col4'
'          Select Operator'
'            expressions:'
'                  expr: _col0'
'                  type: string'
'                  expr: _col1'
'                  type: bigint'
'                  expr: concat(_col0, _col2)'
'                  type: string'
'                  expr: _col3'
'                  type: double'
'                  expr: _col4'
'                  type: bigint'
'            outputColumnNames: _col0, _col1, _col2, _col3, _col4'
'            Select Operator'
'              expressions:'
'                    expr: _col0'
'                    type: string'
'                    expr: UDFToInteger(_col1)'
'                    type: int'
'                    expr: _col2'
'                    type: string'
'                    expr: UDFToInteger(_col3)'
'                    type: int'
'                    expr: UDFToInteger(_col4)'
'                    type: int'
'              outputColumnNames: _col0, _col1, _col2, _col3, _col4'
'              File Output Operator'
'                compressed: false'
'                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: groupby2_map_multi_distinct.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: groupby2_map_multi_distinct.dest1'
''
'  Stage: Stage-2'
'    Stats-Aggr Operator'
''
''
118 rows selected 
>>>  
>>>  FROM src 
INSERT OVERWRITE TABLE dest1 SELECT substr(src.key,1,1), count(DISTINCT substr(src.value,5)), concat(substr(src.key,1,1),sum(substr(src.value,5))), sum(DISTINCT substr(src.value, 5)), count(src.value) GROUP BY substr(src.key,1,1);
'_col0','_col1','_col2','_col3','_col4'
No rows selected 
>>>  
>>>  SELECT dest1.* FROM dest1;
'key','c1','c2','c3','c4'
'0','1','00.0','0','3'
'1','71','116414.0','10044','115'
'2','69','225571.0','15780','111'
'3','62','332004.0','20119','99'
'4','74','452763.0','30965','124'
'5','6','5397.0','278','10'
'6','5','6398.0','331','6'
'7','6','7735.0','447','10'
'8','8','8762.0','595','10'
'9','7','91047.0','577','12'
10 rows selected 
>>>  !record