Saving all output to "!!{outputDirectory}!!/mapreduce6.q.raw". Enter "record" with no arguments to stop it. >>> !run !!{qFileDirectory}!!/mapreduce6.q >>> CREATE TABLE dest1(key INT, ten INT, one INT, value STRING) STORED AS TEXTFILE; No rows affected >>> >>> EXPLAIN FROM src INSERT OVERWRITE TABLE dest1 SELECT src.key, CAST(src.key / 10 AS INT) as c2, CAST(src.key % 10 AS INT) as c3, src.value DISTRIBUTE BY value, key SORT BY c2 DESC, c3 ASC; '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 TOK_INT (/ (. (TOK_TABLE_OR_COL src) key) 10)) c2) (TOK_SELEXPR (TOK_FUNCTION TOK_INT (% (. (TOK_TABLE_OR_COL src) key) 10)) c3) (TOK_SELEXPR (. (TOK_TABLE_OR_COL src) value))) (TOK_DISTRIBUTEBY (TOK_TABLE_OR_COL value) (TOK_TABLE_OR_COL key)) (TOK_SORTBY (TOK_TABSORTCOLNAMEDESC (TOK_TABLE_OR_COL c2)) (TOK_TABSORTCOLNAMEASC (TOK_TABLE_OR_COL c3)))))' '' '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: UDFToInteger((key / 10))' ' type: int' ' expr: UDFToInteger((key % 10))' ' type: int' ' expr: value' ' type: string' ' outputColumnNames: _col0, _col1, _col2, _col3' ' Reduce Output Operator' ' key expressions:' ' expr: _col1' ' type: int' ' expr: _col2' ' type: int' ' sort order: -+' ' Map-reduce partition columns:' ' expr: _col3' ' type: string' ' expr: _col0' ' type: string' ' tag: -1' ' value expressions:' ' expr: _col0' ' type: string' ' expr: _col1' ' type: int' ' expr: _col2' ' type: int' ' expr: _col3' ' type: string' ' Reduce Operator Tree:' ' Extract' ' Select Operator' ' expressions:' ' expr: UDFToInteger(_col0)' ' type: int' ' expr: _col1' ' type: int' ' expr: _col2' ' type: int' ' expr: _col3' ' type: string' ' outputColumnNames: _col0, _col1, _col2, _col3' ' 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: mapreduce6.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: mapreduce6.dest1' '' ' Stage: Stage-2' ' Stats-Aggr Operator' '' '' 84 rows selected >>> >>> >>> FROM src INSERT OVERWRITE TABLE dest1 SELECT src.key, CAST(src.key / 10 AS INT) as c2, CAST(src.key % 10 AS INT) as c3, src.value DISTRIBUTE BY value, key SORT BY c2 DESC, c3 ASC; '_col0','_col1','_col2','_col3' No rows selected >>> >>> SELECT dest1.* FROM dest1; 'key','ten','one','value' '490','49','0','val_490' '491','49','1','val_491' '492','49','2','val_492' '492','49','2','val_492' '493','49','3','val_493' '494','49','4','val_494' '495','49','5','val_495' '496','49','6','val_496' '497','49','7','val_497' '498','49','8','val_498' '498','49','8','val_498' '498','49','8','val_498' '480','48','0','val_480' '480','48','0','val_480' '480','48','0','val_480' '481','48','1','val_481' '482','48','2','val_482' '483','48','3','val_483' '484','48','4','val_484' '485','48','5','val_485' '487','48','7','val_487' '489','48','9','val_489' '489','48','9','val_489' '489','48','9','val_489' '489','48','9','val_489' '470','47','0','val_470' '472','47','2','val_472' '475','47','5','val_475' '477','47','7','val_477' '478','47','8','val_478' '478','47','8','val_478' '479','47','9','val_479' '460','46','0','val_460' '462','46','2','val_462' '462','46','2','val_462' '463','46','3','val_463' '463','46','3','val_463' '466','46','6','val_466' '466','46','6','val_466' '466','46','6','val_466' '467','46','7','val_467' '468','46','8','val_468' '468','46','8','val_468' '468','46','8','val_468' '468','46','8','val_468' '469','46','9','val_469' '469','46','9','val_469' '469','46','9','val_469' '469','46','9','val_469' '469','46','9','val_469' '452','45','2','val_452' '453','45','3','val_453' '454','45','4','val_454' '454','45','4','val_454' '454','45','4','val_454' '455','45','5','val_455' '457','45','7','val_457' '458','45','8','val_458' '458','45','8','val_458' '459','45','9','val_459' '459','45','9','val_459' '443','44','3','val_443' '444','44','4','val_444' '446','44','6','val_446' '448','44','8','val_448' '449','44','9','val_449' '430','43','0','val_430' '430','43','0','val_430' '430','43','0','val_430' 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'83','8','3','val_83' '84','8','4','val_84' '84','8','4','val_84' '85','8','5','val_85' '86','8','6','val_86' '87','8','7','val_87' '70','7','0','val_70' '70','7','0','val_70' '70','7','0','val_70' '72','7','2','val_72' '72','7','2','val_72' '74','7','4','val_74' '76','7','6','val_76' '76','7','6','val_76' '77','7','7','val_77' '78','7','8','val_78' '64','6','4','val_64' '65','6','5','val_65' '66','6','6','val_66' '67','6','7','val_67' '67','6','7','val_67' '69','6','9','val_69' '51','5','1','val_51' '51','5','1','val_51' '53','5','3','val_53' '54','5','4','val_54' '57','5','7','val_57' '58','5','8','val_58' '58','5','8','val_58' '41','4','1','val_41' '42','4','2','val_42' '42','4','2','val_42' '43','4','3','val_43' '44','4','4','val_44' '47','4','7','val_47' '30','3','0','val_30' '33','3','3','val_33' '34','3','4','val_34' '35','3','5','val_35' '35','3','5','val_35' '35','3','5','val_35' '37','3','7','val_37' '37','3','7','val_37' '20','2','0','val_20' '24','2','4','val_24' '24','2','4','val_24' '26','2','6','val_26' '26','2','6','val_26' '27','2','7','val_27' '28','2','8','val_28' '10','1','0','val_10' '11','1','1','val_11' '12','1','2','val_12' '12','1','2','val_12' '15','1','5','val_15' '15','1','5','val_15' '17','1','7','val_17' '18','1','8','val_18' '18','1','8','val_18' '19','1','9','val_19' '0','0','0','val_0' '0','0','0','val_0' '0','0','0','val_0' '2','0','2','val_2' '4','0','4','val_4' '5','0','5','val_5' '5','0','5','val_5' '5','0','5','val_5' '8','0','8','val_8' '9','0','9','val_9' 500 rows selected >>> !record