PREHOOK: query: CREATE TABLE T1(key STRING, val STRING) STORED AS TEXTFILE PREHOOK: type: CREATETABLE POSTHOOK: query: CREATE TABLE T1(key STRING, val STRING) STORED AS TEXTFILE POSTHOOK: type: CREATETABLE POSTHOOK: Output: default@T1 PREHOOK: query: LOAD DATA LOCAL INPATH '../data/files/T1.txt' INTO TABLE T1 PREHOOK: type: LOAD PREHOOK: Output: default@t1 POSTHOOK: query: LOAD DATA LOCAL INPATH '../data/files/T1.txt' INTO TABLE T1 POSTHOOK: type: LOAD POSTHOOK: Output: default@t1 PREHOOK: query: CREATE TABLE T2(key STRING, val STRING) SKEWED BY (key) ON ((3), (8)) STORED AS TEXTFILE PREHOOK: type: CREATETABLE POSTHOOK: query: CREATE TABLE T2(key STRING, val STRING) SKEWED BY (key) ON ((3), (8)) STORED AS TEXTFILE POSTHOOK: type: CREATETABLE POSTHOOK: Output: default@T2 PREHOOK: query: LOAD DATA LOCAL INPATH '../data/files/T2.txt' INTO TABLE T2 PREHOOK: type: LOAD PREHOOK: Output: default@t2 POSTHOOK: query: LOAD DATA LOCAL INPATH '../data/files/T2.txt' INTO TABLE T2 POSTHOOK: type: LOAD POSTHOOK: Output: default@t2 PREHOOK: query: CREATE TABLE T3(key STRING, val STRING) STORED AS TEXTFILE PREHOOK: type: CREATETABLE POSTHOOK: query: CREATE TABLE T3(key STRING, val STRING) STORED AS TEXTFILE POSTHOOK: type: CREATETABLE POSTHOOK: Output: default@T3 PREHOOK: query: LOAD DATA LOCAL INPATH '../data/files/T3.txt' INTO TABLE T3 PREHOOK: type: LOAD PREHOOK: Output: default@t3 POSTHOOK: query: LOAD DATA LOCAL INPATH '../data/files/T3.txt' INTO TABLE T3 POSTHOOK: type: LOAD POSTHOOK: Output: default@t3 PREHOOK: query: -- This test is for validating skewed join compile time optimization for more than -- 2 tables. The join key is the same, and so a 3-way join would be performed. -- 1 of the 3 tables are skewed on the join key -- adding a order by at the end to make the results deterministic EXPLAIN SELECT a.*, b.*, c.* FROM T1 a JOIN T2 b ON a.key = b.key JOIN T3 c on a.key = c.key PREHOOK: type: QUERY POSTHOOK: query: -- This test is for validating skewed join compile time optimization for more than -- 2 tables. The join key is the same, and so a 3-way join would be performed. -- 1 of the 3 tables are skewed on the join key -- adding a order by at the end to make the results deterministic EXPLAIN SELECT a.*, b.*, c.* FROM T1 a JOIN T2 b ON a.key = b.key JOIN T3 c on a.key = c.key POSTHOOK: type: QUERY ABSTRACT SYNTAX TREE: (TOK_QUERY (TOK_FROM (TOK_JOIN (TOK_JOIN (TOK_TABREF (TOK_TABNAME T1) a) (TOK_TABREF (TOK_TABNAME T2) b) (= (. (TOK_TABLE_OR_COL a) key) (. (TOK_TABLE_OR_COL b) key))) (TOK_TABREF (TOK_TABNAME T3) c) (= (. (TOK_TABLE_OR_COL a) key) (. (TOK_TABLE_OR_COL c) key)))) (TOK_INSERT (TOK_DESTINATION (TOK_DIR TOK_TMP_FILE)) (TOK_SELECT (TOK_SELEXPR (TOK_ALLCOLREF (TOK_TABNAME a))) (TOK_SELEXPR (TOK_ALLCOLREF (TOK_TABNAME b))) (TOK_SELEXPR (TOK_ALLCOLREF (TOK_TABNAME c)))))) STAGE DEPENDENCIES: Stage-1 is a root stage Stage-2 depends on stages: Stage-1, Stage-5 Stage-5 is a root stage Stage-0 is a root stage STAGE PLANS: Stage: Stage-1 Map Reduce Alias -> Map Operator Tree: subquery1:a TableScan alias: a Filter Operator predicate: expr: (not ((key = '3') or (key = '8'))) type: boolean Reduce Output Operator key expressions: expr: key type: string sort order: + Map-reduce partition columns: expr: key type: string tag: 0 value expressions: expr: key type: string expr: val type: string subquery1:b TableScan alias: b Filter Operator predicate: expr: (not ((key = '3') or (key = '8'))) type: boolean Reduce Output Operator key expressions: expr: key type: string sort order: + Map-reduce partition columns: expr: key type: string tag: 1 value expressions: expr: key type: string expr: val type: string subquery1:c TableScan alias: c Filter Operator predicate: expr: (not ((key = '3') or (key = '8'))) type: boolean Reduce Output Operator key expressions: expr: key type: string sort order: + Map-reduce partition columns: expr: key type: string tag: 2 value expressions: expr: key type: string expr: val type: string Reduce Operator Tree: Join Operator condition map: Inner Join 0 to 1 Inner Join 0 to 2 condition expressions: 0 {VALUE._col0} {VALUE._col1} 1 {VALUE._col0} {VALUE._col1} 2 {VALUE._col0} {VALUE._col1} handleSkewJoin: false outputColumnNames: _col0, _col1, _col4, _col5, _col8, _col9 Select Operator expressions: expr: _col0 type: string expr: _col1 type: string expr: _col4 type: string expr: _col5 type: string expr: _col8 type: string expr: _col9 type: string outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 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 #### TableScan Union Select Operator SELECT * : (no compute) File Output Operator compressed: false GlobalTableId: 0 table: input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat #### A masked pattern was here #### TableScan Union Select Operator SELECT * : (no compute) 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-5 Map Reduce Alias -> Map Operator Tree: a TableScan alias: a Filter Operator predicate: expr: ((key = '3') or (key = '8')) type: boolean Reduce Output Operator key expressions: expr: key type: string sort order: + Map-reduce partition columns: expr: key type: string tag: 0 value expressions: expr: key type: string expr: val type: string b TableScan alias: b Filter Operator predicate: expr: ((key = '3') or (key = '8')) type: boolean Reduce Output Operator key expressions: expr: key type: string sort order: + Map-reduce partition columns: expr: key type: string tag: 1 value expressions: expr: key type: string expr: val type: string c TableScan alias: c Filter Operator predicate: expr: ((key = '3') or (key = '8')) type: boolean Reduce Output Operator key expressions: expr: key type: string sort order: + Map-reduce partition columns: expr: key type: string tag: 2 value expressions: expr: key type: string expr: val type: string Reduce Operator Tree: Join Operator condition map: Inner Join 0 to 1 Inner Join 0 to 2 condition expressions: 0 {VALUE._col0} {VALUE._col1} 1 {VALUE._col0} {VALUE._col1} 2 {VALUE._col0} {VALUE._col1} handleSkewJoin: false outputColumnNames: _col0, _col1, _col4, _col5, _col8, _col9 Select Operator expressions: expr: _col0 type: string expr: _col1 type: string expr: _col4 type: string expr: _col5 type: string expr: _col8 type: string expr: _col9 type: string outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 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-0 Fetch Operator limit: -1 PREHOOK: query: SELECT a.*, b.*, c.* FROM T1 a JOIN T2 b ON a.key = b.key JOIN T3 c on a.key = c.key ORDER BY a.key, b.key, c.key, a.val, b.val, c.val PREHOOK: type: QUERY PREHOOK: Input: default@t1 PREHOOK: Input: default@t2 PREHOOK: Input: default@t3 #### A masked pattern was here #### POSTHOOK: query: SELECT a.*, b.*, c.* FROM T1 a JOIN T2 b ON a.key = b.key JOIN T3 c on a.key = c.key ORDER BY a.key, b.key, c.key, a.val, b.val, c.val POSTHOOK: type: QUERY POSTHOOK: Input: default@t1 POSTHOOK: Input: default@t2 POSTHOOK: Input: default@t3 #### A masked pattern was here #### 2 12 2 22 2 12