PREHOOK: query: -- In this test, 2 files are loaded into table T1. The data contains rows with the same value of a and b, -- with different number of rows for a and b in each file. Since bucketizedHiveInputFormat is used, -- this tests that the aggregate function stores the partial aggregate state correctly even if an -- additional MR job is created for processing the grouping sets. CREATE TABLE T1(a STRING, b STRING, c STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ' ' STORED AS TEXTFILE PREHOOK: type: CREATETABLE POSTHOOK: query: -- In this test, 2 files are loaded into table T1. The data contains rows with the same value of a and b, -- with different number of rows for a and b in each file. Since bucketizedHiveInputFormat is used, -- this tests that the aggregate function stores the partial aggregate state correctly even if an -- additional MR job is created for processing the grouping sets. CREATE TABLE T1(a STRING, b STRING, c STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ' ' STORED AS TEXTFILE POSTHOOK: type: CREATETABLE POSTHOOK: Output: default@T1 PREHOOK: query: LOAD DATA LOCAL INPATH '../data/files/grouping_sets1.txt' INTO TABLE T1 PREHOOK: type: LOAD PREHOOK: Output: default@t1 POSTHOOK: query: LOAD DATA LOCAL INPATH '../data/files/grouping_sets1.txt' INTO TABLE T1 POSTHOOK: type: LOAD POSTHOOK: Output: default@t1 PREHOOK: query: LOAD DATA LOCAL INPATH '../data/files/grouping_sets2.txt' INTO TABLE T1 PREHOOK: type: LOAD PREHOOK: Output: default@t1 POSTHOOK: query: LOAD DATA LOCAL INPATH '../data/files/grouping_sets2.txt' INTO TABLE T1 POSTHOOK: type: LOAD POSTHOOK: Output: default@t1 PREHOOK: query: -- The query below will execute in a single MR job, since 4 rows are generated per input row -- (cube of a,b will lead to (a,b), (a, null), (null, b) and (null, null) and -- hive.new.job.grouping.set.cardinality is more than 4. EXPLAIN SELECT a, b, avg(c), count(*) from T1 group by a, b with cube PREHOOK: type: QUERY POSTHOOK: query: -- The query below will execute in a single MR job, since 4 rows are generated per input row -- (cube of a,b will lead to (a,b), (a, null), (null, b) and (null, null) and -- hive.new.job.grouping.set.cardinality is more than 4. EXPLAIN SELECT a, b, avg(c), count(*) from T1 group by a, b with cube POSTHOOK: type: QUERY ABSTRACT SYNTAX TREE: (TOK_QUERY (TOK_FROM (TOK_TABREF (TOK_TABNAME T1))) (TOK_INSERT (TOK_DESTINATION (TOK_DIR TOK_TMP_FILE)) (TOK_SELECT (TOK_SELEXPR (TOK_TABLE_OR_COL a)) (TOK_SELEXPR (TOK_TABLE_OR_COL b)) (TOK_SELEXPR (TOK_FUNCTION avg (TOK_TABLE_OR_COL c))) (TOK_SELEXPR (TOK_FUNCTIONSTAR count))) (TOK_CUBE_GROUPBY (TOK_TABLE_OR_COL a) (TOK_TABLE_OR_COL b)))) STAGE DEPENDENCIES: Stage-1 is a root stage Stage-0 is a root stage STAGE PLANS: Stage: Stage-1 Map Reduce Alias -> Map Operator Tree: t1 TableScan alias: t1 Select Operator expressions: expr: a type: string expr: b type: string expr: c type: string outputColumnNames: a, b, c Group By Operator aggregations: expr: avg(c) expr: count() bucketGroup: false keys: expr: a type: string expr: b type: string expr: '0' type: string mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4 Reduce Output Operator key expressions: expr: _col0 type: string expr: _col1 type: string expr: _col2 type: string sort order: +++ Map-reduce partition columns: expr: _col0 type: string expr: _col1 type: string expr: _col2 type: string tag: -1 value expressions: expr: _col3 type: struct expr: _col4 type: bigint Reduce Operator Tree: Group By Operator aggregations: expr: avg(VALUE._col0) expr: count(VALUE._col1) bucketGroup: false keys: expr: KEY._col0 type: string expr: KEY._col1 type: string expr: KEY._col2 type: string mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3, _col4 Select Operator expressions: expr: _col0 type: string expr: _col1 type: string expr: _col3 type: double expr: _col4 type: bigint outputColumnNames: _col0, _col1, _col2, _col3 File Output Operator compressed: false GlobalTableId: 0 table: input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat Stage: Stage-0 Fetch Operator limit: -1 PREHOOK: query: SELECT a, b, avg(c), count(*) from T1 group by a, b with cube PREHOOK: type: QUERY PREHOOK: Input: default@t1 #### A masked pattern was here #### POSTHOOK: query: SELECT a, b, avg(c), count(*) from T1 group by a, b with cube POSTHOOK: type: QUERY POSTHOOK: Input: default@t1 #### A masked pattern was here #### NULL NULL 3.8333333333333335 12 NULL 1 2.0 5 NULL 2 5.2 5 NULL 3 5.0 2 1 NULL 2.6666666666666665 3 1 1 3.0 2 1 2 2.0 1 2 NULL 5.2 5 2 2 5.333333333333333 3 2 3 5.0 2 3 NULL 8.0 1 3 2 8.0 1 5 NULL 2.0 1 5 1 2.0 1 8 NULL 1.0 2 8 1 1.0 2 PREHOOK: query: -- The query below will execute in 2 MR jobs, since hive.new.job.grouping.set.cardinality is set to 2. -- The partial aggregation state should be maintained correctly across MR jobs. EXPLAIN SELECT a, b, avg(c), count(*) from T1 group by a, b with cube PREHOOK: type: QUERY POSTHOOK: query: -- The query below will execute in 2 MR jobs, since hive.new.job.grouping.set.cardinality is set to 2. -- The partial aggregation state should be maintained correctly across MR jobs. EXPLAIN SELECT a, b, avg(c), count(*) from T1 group by a, b with cube POSTHOOK: type: QUERY ABSTRACT SYNTAX TREE: (TOK_QUERY (TOK_FROM (TOK_TABREF (TOK_TABNAME T1))) (TOK_INSERT (TOK_DESTINATION (TOK_DIR TOK_TMP_FILE)) (TOK_SELECT (TOK_SELEXPR (TOK_TABLE_OR_COL a)) (TOK_SELEXPR (TOK_TABLE_OR_COL b)) (TOK_SELEXPR (TOK_FUNCTION avg (TOK_TABLE_OR_COL c))) (TOK_SELEXPR (TOK_FUNCTIONSTAR count))) (TOK_CUBE_GROUPBY (TOK_TABLE_OR_COL a) (TOK_TABLE_OR_COL b)))) STAGE DEPENDENCIES: Stage-1 is a root stage Stage-2 depends on stages: Stage-1 Stage-0 is a root stage STAGE PLANS: Stage: Stage-1 Map Reduce Alias -> Map Operator Tree: t1 TableScan alias: t1 Select Operator expressions: expr: a type: string expr: b type: string expr: c type: string outputColumnNames: a, b, c Group By Operator aggregations: expr: avg(c) expr: count() bucketGroup: false keys: expr: a type: string expr: b type: string mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Reduce Output Operator key expressions: expr: _col0 type: string expr: _col1 type: string sort order: ++ Map-reduce partition columns: expr: _col0 type: string expr: _col1 type: string tag: -1 value expressions: expr: _col2 type: struct expr: _col3 type: bigint Reduce Operator Tree: Group By Operator aggregations: expr: avg(VALUE._col0) expr: count(VALUE._col1) bucketGroup: false keys: expr: KEY._col0 type: string expr: KEY._col1 type: string expr: '0' type: string mode: partials outputColumnNames: _col0, _col1, _col2, _col3, _col4 File Output Operator compressed: false GlobalTableId: 0 table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat Stage: Stage-2 Map Reduce Alias -> Map Operator Tree: #### A masked pattern was here #### Reduce Output Operator key expressions: expr: _col0 type: string expr: _col1 type: string expr: _col2 type: string sort order: +++ Map-reduce partition columns: expr: _col0 type: string expr: _col1 type: string expr: _col2 type: string tag: -1 value expressions: expr: _col3 type: struct expr: _col4 type: bigint Reduce Operator Tree: Group By Operator aggregations: expr: avg(VALUE._col0) expr: count(VALUE._col1) bucketGroup: false keys: expr: KEY._col0 type: string expr: KEY._col1 type: string expr: KEY._col2 type: string mode: final outputColumnNames: _col0, _col1, _col2, _col3, _col4 Select Operator expressions: expr: _col0 type: string expr: _col1 type: string expr: _col3 type: double expr: _col4 type: bigint outputColumnNames: _col0, _col1, _col2, _col3 File Output Operator compressed: false GlobalTableId: 0 table: input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat Stage: Stage-0 Fetch Operator limit: -1 PREHOOK: query: SELECT a, b, avg(c), count(*) from T1 group by a, b with cube PREHOOK: type: QUERY PREHOOK: Input: default@t1 #### A masked pattern was here #### POSTHOOK: query: SELECT a, b, avg(c), count(*) from T1 group by a, b with cube POSTHOOK: type: QUERY POSTHOOK: Input: default@t1 #### A masked pattern was here #### NULL NULL 3.8333333333333335 12 NULL 1 2.0 5 NULL 2 5.2 5 NULL 3 5.0 2 1 NULL 2.6666666666666665 3 1 1 3.0 2 1 2 2.0 1 2 NULL 5.2 5 2 2 5.333333333333333 3 2 3 5.0 2 3 NULL 8.0 1 3 2 8.0 1 5 NULL 2.0 1 5 1 2.0 1 8 NULL 1.0 2 8 1 1.0 2