PREHOOK: query: CREATE TABLE tmpT1(key STRING, val STRING) STORED AS TEXTFILE PREHOOK: type: CREATETABLE POSTHOOK: query: CREATE TABLE tmpT1(key STRING, val STRING) STORED AS TEXTFILE POSTHOOK: type: CREATETABLE POSTHOOK: Output: default@tmpT1 PREHOOK: query: LOAD DATA LOCAL INPATH '../data/files/T1.txt' INTO TABLE tmpT1 PREHOOK: type: LOAD PREHOOK: Output: default@tmpt1 POSTHOOK: query: LOAD DATA LOCAL INPATH '../data/files/T1.txt' INTO TABLE tmpT1 POSTHOOK: type: LOAD POSTHOOK: Output: default@tmpt1 PREHOOK: query: -- testing skew on other data types - int CREATE TABLE T1(key INT, val STRING) SKEWED BY (key) ON ((2)) PREHOOK: type: CREATETABLE POSTHOOK: query: -- testing skew on other data types - int CREATE TABLE T1(key INT, val STRING) SKEWED BY (key) ON ((2)) POSTHOOK: type: CREATETABLE POSTHOOK: Output: default@T1 PREHOOK: query: INSERT OVERWRITE TABLE T1 SELECT key, val FROM tmpT1 PREHOOK: type: QUERY PREHOOK: Input: default@tmpt1 PREHOOK: Output: default@t1 POSTHOOK: query: INSERT OVERWRITE TABLE T1 SELECT key, val FROM tmpT1 POSTHOOK: type: QUERY POSTHOOK: Input: default@tmpt1 POSTHOOK: Output: default@t1 POSTHOOK: Lineage: t1.key EXPRESSION [(tmpt1)tmpt1.FieldSchema(name:key, type:string, comment:null), ] POSTHOOK: Lineage: t1.val SIMPLE [(tmpt1)tmpt1.FieldSchema(name:val, type:string, comment:null), ] PREHOOK: query: -- Tke skewed column is same in both the tables, however it is -- INT in one of the tables, and STRING in the other table CREATE TABLE T2(key STRING, val STRING) SKEWED BY (key) ON ((3)) STORED AS TEXTFILE PREHOOK: type: CREATETABLE POSTHOOK: query: -- Tke skewed column is same in both the tables, however it is -- INT in one of the tables, and STRING in the other table CREATE TABLE T2(key STRING, val STRING) SKEWED BY (key) ON ((3)) STORED AS TEXTFILE POSTHOOK: type: CREATETABLE POSTHOOK: Output: default@T2 POSTHOOK: Lineage: t1.key EXPRESSION [(tmpt1)tmpt1.FieldSchema(name:key, type:string, comment:null), ] POSTHOOK: Lineage: t1.val SIMPLE [(tmpt1)tmpt1.FieldSchema(name:val, type:string, comment:null), ] 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 POSTHOOK: Lineage: t1.key EXPRESSION [(tmpt1)tmpt1.FieldSchema(name:key, type:string, comment:null), ] POSTHOOK: Lineage: t1.val SIMPLE [(tmpt1)tmpt1.FieldSchema(name:val, type:string, comment:null), ] PREHOOK: query: -- Once HIVE-3445 is fixed, the compile time skew join optimization would be -- applicable here. Till the above jira is fixed, it would be performed as a -- regular join -- adding a order by at the end to make the results deterministic EXPLAIN SELECT a.*, b.* FROM T1 a JOIN T2 b ON a.key = b.key PREHOOK: type: QUERY POSTHOOK: query: -- Once HIVE-3445 is fixed, the compile time skew join optimization would be -- applicable here. Till the above jira is fixed, it would be performed as a -- regular join -- adding a order by at the end to make the results deterministic EXPLAIN SELECT a.*, b.* FROM T1 a JOIN T2 b ON a.key = b.key POSTHOOK: type: QUERY POSTHOOK: Lineage: t1.key EXPRESSION [(tmpt1)tmpt1.FieldSchema(name:key, type:string, comment:null), ] POSTHOOK: Lineage: t1.val SIMPLE [(tmpt1)tmpt1.FieldSchema(name:val, type:string, comment:null), ] ABSTRACT SYNTAX TREE: (TOK_QUERY (TOK_FROM (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_INSERT (TOK_DESTINATION (TOK_DIR TOK_TMP_FILE)) (TOK_SELECT (TOK_SELEXPR (TOK_ALLCOLREF (TOK_TABNAME a))) (TOK_SELEXPR (TOK_ALLCOLREF (TOK_TABNAME 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: a TableScan alias: a Reduce Output Operator key expressions: expr: UDFToDouble(key) type: double sort order: + Map-reduce partition columns: expr: UDFToDouble(key) type: double tag: 0 value expressions: expr: key type: int expr: val type: string b TableScan alias: b Reduce Output Operator key expressions: expr: UDFToDouble(key) type: double sort order: + Map-reduce partition columns: expr: UDFToDouble(key) type: double tag: 1 value expressions: expr: key type: string expr: val type: string Reduce Operator Tree: Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {VALUE._col0} {VALUE._col1} 1 {VALUE._col0} {VALUE._col1} handleSkewJoin: false outputColumnNames: _col0, _col1, _col4, _col5 Select Operator expressions: expr: _col0 type: int expr: _col1 type: string expr: _col4 type: string expr: _col5 type: string 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.* FROM T1 a JOIN T2 b ON a.key = b.key ORDER BY a.key, b.key, a.val, b.val PREHOOK: type: QUERY PREHOOK: Input: default@t1 PREHOOK: Input: default@t2 #### A masked pattern was here #### POSTHOOK: query: SELECT a.*, b.* FROM T1 a JOIN T2 b ON a.key = b.key ORDER BY a.key, b.key, a.val, b.val POSTHOOK: type: QUERY POSTHOOK: Input: default@t1 POSTHOOK: Input: default@t2 #### A masked pattern was here #### POSTHOOK: Lineage: t1.key EXPRESSION [(tmpt1)tmpt1.FieldSchema(name:key, type:string, comment:null), ] POSTHOOK: Lineage: t1.val SIMPLE [(tmpt1)tmpt1.FieldSchema(name:val, type:string, comment:null), ] 2 12 2 22 3 13 3 13 8 18 8 18 8 18 8 18 8 28 8 18 8 28 8 18