PREHOOK: query: CREATE TABLE srcbucket_mapjoin_part_1 (key INT, value STRING) PARTITIONED BY (part STRING) CLUSTERED BY (key) INTO 2 BUCKETS STORED AS TEXTFILE PREHOOK: type: CREATETABLE PREHOOK: Output: database:default PREHOOK: Output: default@srcbucket_mapjoin_part_1 POSTHOOK: query: CREATE TABLE srcbucket_mapjoin_part_1 (key INT, value STRING) PARTITIONED BY (part STRING) CLUSTERED BY (key) INTO 2 BUCKETS STORED AS TEXTFILE POSTHOOK: type: CREATETABLE POSTHOOK: Output: database:default POSTHOOK: Output: default@srcbucket_mapjoin_part_1 PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/srcbucket20.txt' INTO TABLE srcbucket_mapjoin_part_1 PARTITION (part='1') PREHOOK: type: LOAD #### A masked pattern was here #### PREHOOK: Output: default@srcbucket_mapjoin_part_1 POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/srcbucket20.txt' INTO TABLE srcbucket_mapjoin_part_1 PARTITION (part='1') POSTHOOK: type: LOAD #### A masked pattern was here #### POSTHOOK: Output: default@srcbucket_mapjoin_part_1 POSTHOOK: Output: default@srcbucket_mapjoin_part_1@part=1 PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/srcbucket21.txt' INTO TABLE srcbucket_mapjoin_part_1 PARTITION (part='1') PREHOOK: type: LOAD #### A masked pattern was here #### PREHOOK: Output: default@srcbucket_mapjoin_part_1@part=1 POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/srcbucket21.txt' INTO TABLE srcbucket_mapjoin_part_1 PARTITION (part='1') POSTHOOK: type: LOAD #### A masked pattern was here #### POSTHOOK: Output: default@srcbucket_mapjoin_part_1@part=1 PREHOOK: query: CREATE TABLE srcbucket_mapjoin_part_2 (key INT, value STRING) PARTITIONED BY (part STRING) CLUSTERED BY (key) INTO 2 BUCKETS STORED AS TEXTFILE PREHOOK: type: CREATETABLE PREHOOK: Output: database:default PREHOOK: Output: default@srcbucket_mapjoin_part_2 POSTHOOK: query: CREATE TABLE srcbucket_mapjoin_part_2 (key INT, value STRING) PARTITIONED BY (part STRING) CLUSTERED BY (key) INTO 2 BUCKETS STORED AS TEXTFILE POSTHOOK: type: CREATETABLE POSTHOOK: Output: database:default POSTHOOK: Output: default@srcbucket_mapjoin_part_2 PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/srcbucket20.txt' INTO TABLE srcbucket_mapjoin_part_2 PARTITION (part='1') PREHOOK: type: LOAD #### A masked pattern was here #### PREHOOK: Output: default@srcbucket_mapjoin_part_2 POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/srcbucket20.txt' INTO TABLE srcbucket_mapjoin_part_2 PARTITION (part='1') POSTHOOK: type: LOAD #### A masked pattern was here #### POSTHOOK: Output: default@srcbucket_mapjoin_part_2 POSTHOOK: Output: default@srcbucket_mapjoin_part_2@part=1 PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/srcbucket21.txt' INTO TABLE srcbucket_mapjoin_part_2 PARTITION (part='1') PREHOOK: type: LOAD #### A masked pattern was here #### PREHOOK: Output: default@srcbucket_mapjoin_part_2@part=1 POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/srcbucket21.txt' INTO TABLE srcbucket_mapjoin_part_2 PARTITION (part='1') POSTHOOK: type: LOAD #### A masked pattern was here #### POSTHOOK: Output: default@srcbucket_mapjoin_part_2@part=1 PREHOOK: query: ALTER TABLE srcbucket_mapjoin_part_2 CLUSTERED BY (key) INTO 3 BUCKETS PREHOOK: type: ALTERTABLE_CLUSTER_SORT PREHOOK: Input: default@srcbucket_mapjoin_part_2 PREHOOK: Output: default@srcbucket_mapjoin_part_2 POSTHOOK: query: ALTER TABLE srcbucket_mapjoin_part_2 CLUSTERED BY (key) INTO 3 BUCKETS POSTHOOK: type: ALTERTABLE_CLUSTER_SORT POSTHOOK: Input: default@srcbucket_mapjoin_part_2 POSTHOOK: Output: default@srcbucket_mapjoin_part_2 PREHOOK: query: -- The partition bucketing metadata match but the tables have different numbers of buckets, bucket map join should still be used EXPLAIN EXTENDED SELECT /*+ MAPJOIN(b) */ count(*) FROM srcbucket_mapjoin_part_1 a JOIN srcbucket_mapjoin_part_2 b ON a.key = b.key AND a.part = '1' and b.part = '1' PREHOOK: type: QUERY POSTHOOK: query: -- The partition bucketing metadata match but the tables have different numbers of buckets, bucket map join should still be used EXPLAIN EXTENDED SELECT /*+ MAPJOIN(b) */ count(*) FROM srcbucket_mapjoin_part_1 a JOIN srcbucket_mapjoin_part_2 b ON a.key = b.key AND a.part = '1' and b.part = '1' POSTHOOK: type: QUERY ABSTRACT SYNTAX TREE: TOK_QUERY TOK_FROM TOK_JOIN TOK_TABREF TOK_TABNAME srcbucket_mapjoin_part_1 a TOK_TABREF TOK_TABNAME srcbucket_mapjoin_part_2 b and AND = . TOK_TABLE_OR_COL a key . TOK_TABLE_OR_COL b key = . TOK_TABLE_OR_COL a part '1' = . TOK_TABLE_OR_COL b part '1' TOK_INSERT TOK_DESTINATION TOK_DIR TOK_TMP_FILE TOK_SELECT TOK_HINTLIST TOK_HINT TOK_MAPJOIN TOK_HINTARGLIST b TOK_SELEXPR TOK_FUNCTIONSTAR count STAGE DEPENDENCIES: Stage-3 is a root stage Stage-1 depends on stages: Stage-3 Stage-0 depends on stages: Stage-1 STAGE PLANS: Stage: Stage-3 Map Reduce Local Work Alias -> Map Local Tables: b Fetch Operator limit: -1 Partition Description: Partition input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat partition values: part 1 properties: COLUMN_STATS_ACCURATE true bucket_count 2 bucket_field_name key columns key,value columns.comments columns.types int:string #### A masked pattern was here #### name default.srcbucket_mapjoin_part_2 numFiles 2 numRows 0 partition_columns part partition_columns.types string rawDataSize 0 serialization.ddl struct srcbucket_mapjoin_part_2 { i32 key, string value} serialization.format 1 serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe totalSize 2750 #### A masked pattern was here #### serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat properties: bucket_count 3 bucket_field_name key columns key,value columns.comments columns.types int:string #### A masked pattern was here #### name default.srcbucket_mapjoin_part_2 partition_columns part partition_columns.types string serialization.ddl struct srcbucket_mapjoin_part_2 { i32 key, string value} serialization.format 1 serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe #### A masked pattern was here #### serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe name: default.srcbucket_mapjoin_part_2 name: default.srcbucket_mapjoin_part_2 Alias -> Map Local Operator Tree: b TableScan alias: b Statistics: Num rows: 687 Data size: 2750 Basic stats: COMPLETE Column stats: NONE GatherStats: false Filter Operator isSamplingPred: false predicate: key is not null (type: boolean) Statistics: Num rows: 344 Data size: 1377 Basic stats: COMPLETE Column stats: NONE HashTable Sink Operator keys: 0 key (type: int) 1 key (type: int) Position of Big Table: 0 Bucket Mapjoin Context: Alias Bucket Base File Name Mapping: b {part=1/srcbucket20.txt=[part=1/srcbucket20.txt], part=1/srcbucket21.txt=[part=1/srcbucket21.txt]} Alias Bucket File Name Mapping: #### A masked pattern was here #### Alias Bucket Output File Name Mapping: #### A masked pattern was here #### Stage: Stage-1 Map Reduce Map Operator Tree: TableScan alias: a Statistics: Num rows: 687 Data size: 2750 Basic stats: COMPLETE Column stats: NONE GatherStats: false Filter Operator isSamplingPred: false predicate: key is not null (type: boolean) Statistics: Num rows: 344 Data size: 1377 Basic stats: COMPLETE Column stats: NONE Map Join Operator condition map: Inner Join 0 to 1 keys: 0 key (type: int) 1 key (type: int) Position of Big Table: 0 Statistics: Num rows: 378 Data size: 1514 Basic stats: COMPLETE Column stats: NONE BucketMapJoin: true Group By Operator aggregations: count() mode: hash outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator sort order: Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE tag: -1 value expressions: _col0 (type: bigint) auto parallelism: false Local Work: Map Reduce Local Work Path -> Alias: #### A masked pattern was here #### Path -> Partition: #### A masked pattern was here #### Partition base file name: part=1 input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat partition values: part 1 properties: COLUMN_STATS_ACCURATE true bucket_count 2 bucket_field_name key columns key,value columns.comments columns.types int:string #### A masked pattern was here #### name default.srcbucket_mapjoin_part_1 numFiles 2 numRows 0 partition_columns part partition_columns.types string rawDataSize 0 serialization.ddl struct srcbucket_mapjoin_part_1 { i32 key, string value} serialization.format 1 serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe totalSize 2750 #### A masked pattern was here #### serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat properties: bucket_count 2 bucket_field_name key columns key,value columns.comments columns.types int:string #### A masked pattern was here #### name default.srcbucket_mapjoin_part_1 partition_columns part partition_columns.types string serialization.ddl struct srcbucket_mapjoin_part_1 { i32 key, string value} serialization.format 1 serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe #### A masked pattern was here #### serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe name: default.srcbucket_mapjoin_part_1 name: default.srcbucket_mapjoin_part_1 Truncated Path -> Alias: /srcbucket_mapjoin_part_1/part=1 [a] Needs Tagging: false Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) mode: mergepartial outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false GlobalTableId: 0 #### A masked pattern was here #### NumFilesPerFileSink: 1 Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE #### A masked pattern was here #### table: input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat properties: columns _col0 columns.types bigint escape.delim \ hive.serialization.extend.additional.nesting.levels true serialization.format 1 serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe TotalFiles: 1 GatherStats: false MultiFileSpray: false Stage: Stage-0 Fetch Operator limit: -1 Processor Tree: ListSink PREHOOK: query: SELECT /*+ MAPJOIN(b) */ count(*) FROM srcbucket_mapjoin_part_1 a JOIN srcbucket_mapjoin_part_2 b ON a.key = b.key AND a.part = '1' and b.part = '1' PREHOOK: type: QUERY PREHOOK: Input: default@srcbucket_mapjoin_part_1 PREHOOK: Input: default@srcbucket_mapjoin_part_1@part=1 PREHOOK: Input: default@srcbucket_mapjoin_part_2 PREHOOK: Input: default@srcbucket_mapjoin_part_2@part=1 #### A masked pattern was here #### POSTHOOK: query: SELECT /*+ MAPJOIN(b) */ count(*) FROM srcbucket_mapjoin_part_1 a JOIN srcbucket_mapjoin_part_2 b ON a.key = b.key AND a.part = '1' and b.part = '1' POSTHOOK: type: QUERY POSTHOOK: Input: default@srcbucket_mapjoin_part_1 POSTHOOK: Input: default@srcbucket_mapjoin_part_1@part=1 POSTHOOK: Input: default@srcbucket_mapjoin_part_2 POSTHOOK: Input: default@srcbucket_mapjoin_part_2@part=1 #### A masked pattern was here #### 464 PREHOOK: query: ALTER TABLE srcbucket_mapjoin_part_2 CLUSTERED BY (value) INTO 2 BUCKETS PREHOOK: type: ALTERTABLE_CLUSTER_SORT PREHOOK: Input: default@srcbucket_mapjoin_part_2 PREHOOK: Output: default@srcbucket_mapjoin_part_2 POSTHOOK: query: ALTER TABLE srcbucket_mapjoin_part_2 CLUSTERED BY (value) INTO 2 BUCKETS POSTHOOK: type: ALTERTABLE_CLUSTER_SORT POSTHOOK: Input: default@srcbucket_mapjoin_part_2 POSTHOOK: Output: default@srcbucket_mapjoin_part_2 PREHOOK: query: -- The partition bucketing metadata match but the tables are bucketed on different columns, bucket map join should still be used EXPLAIN EXTENDED SELECT /*+ MAPJOIN(b) */ count(*) FROM srcbucket_mapjoin_part_1 a JOIN srcbucket_mapjoin_part_2 b ON a.key = b.key AND a.part = '1' and b.part = '1' PREHOOK: type: QUERY POSTHOOK: query: -- The partition bucketing metadata match but the tables are bucketed on different columns, bucket map join should still be used EXPLAIN EXTENDED SELECT /*+ MAPJOIN(b) */ count(*) FROM srcbucket_mapjoin_part_1 a JOIN srcbucket_mapjoin_part_2 b ON a.key = b.key AND a.part = '1' and b.part = '1' POSTHOOK: type: QUERY ABSTRACT SYNTAX TREE: TOK_QUERY TOK_FROM TOK_JOIN TOK_TABREF TOK_TABNAME srcbucket_mapjoin_part_1 a TOK_TABREF TOK_TABNAME srcbucket_mapjoin_part_2 b and AND = . TOK_TABLE_OR_COL a key . TOK_TABLE_OR_COL b key = . TOK_TABLE_OR_COL a part '1' = . TOK_TABLE_OR_COL b part '1' TOK_INSERT TOK_DESTINATION TOK_DIR TOK_TMP_FILE TOK_SELECT TOK_HINTLIST TOK_HINT TOK_MAPJOIN TOK_HINTARGLIST b TOK_SELEXPR TOK_FUNCTIONSTAR count STAGE DEPENDENCIES: Stage-3 is a root stage Stage-1 depends on stages: Stage-3 Stage-0 depends on stages: Stage-1 STAGE PLANS: Stage: Stage-3 Map Reduce Local Work Alias -> Map Local Tables: b Fetch Operator limit: -1 Partition Description: Partition input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat partition values: part 1 properties: COLUMN_STATS_ACCURATE true bucket_count 2 bucket_field_name key columns key,value columns.comments columns.types int:string #### A masked pattern was here #### name default.srcbucket_mapjoin_part_2 numFiles 2 numRows 0 partition_columns part partition_columns.types string rawDataSize 0 serialization.ddl struct srcbucket_mapjoin_part_2 { i32 key, string value} serialization.format 1 serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe totalSize 2750 #### A masked pattern was here #### serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat properties: bucket_count 2 bucket_field_name value columns key,value columns.comments columns.types int:string #### A masked pattern was here #### name default.srcbucket_mapjoin_part_2 partition_columns part partition_columns.types string serialization.ddl struct srcbucket_mapjoin_part_2 { i32 key, string value} serialization.format 1 serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe #### A masked pattern was here #### serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe name: default.srcbucket_mapjoin_part_2 name: default.srcbucket_mapjoin_part_2 Alias -> Map Local Operator Tree: b TableScan alias: b Statistics: Num rows: 687 Data size: 2750 Basic stats: COMPLETE Column stats: NONE GatherStats: false Filter Operator isSamplingPred: false predicate: key is not null (type: boolean) Statistics: Num rows: 344 Data size: 1377 Basic stats: COMPLETE Column stats: NONE HashTable Sink Operator keys: 0 key (type: int) 1 key (type: int) Position of Big Table: 0 Bucket Mapjoin Context: Alias Bucket Base File Name Mapping: b {part=1/srcbucket20.txt=[part=1/srcbucket20.txt], part=1/srcbucket21.txt=[part=1/srcbucket21.txt]} Alias Bucket File Name Mapping: #### A masked pattern was here #### Alias Bucket Output File Name Mapping: #### A masked pattern was here #### Stage: Stage-1 Map Reduce Map Operator Tree: TableScan alias: a Statistics: Num rows: 687 Data size: 2750 Basic stats: COMPLETE Column stats: NONE GatherStats: false Filter Operator isSamplingPred: false predicate: key is not null (type: boolean) Statistics: Num rows: 344 Data size: 1377 Basic stats: COMPLETE Column stats: NONE Map Join Operator condition map: Inner Join 0 to 1 keys: 0 key (type: int) 1 key (type: int) Position of Big Table: 0 Statistics: Num rows: 378 Data size: 1514 Basic stats: COMPLETE Column stats: NONE BucketMapJoin: true Group By Operator aggregations: count() mode: hash outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator sort order: Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE tag: -1 value expressions: _col0 (type: bigint) auto parallelism: false Local Work: Map Reduce Local Work Path -> Alias: #### A masked pattern was here #### Path -> Partition: #### A masked pattern was here #### Partition base file name: part=1 input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat partition values: part 1 properties: COLUMN_STATS_ACCURATE true bucket_count 2 bucket_field_name key columns key,value columns.comments columns.types int:string #### A masked pattern was here #### name default.srcbucket_mapjoin_part_1 numFiles 2 numRows 0 partition_columns part partition_columns.types string rawDataSize 0 serialization.ddl struct srcbucket_mapjoin_part_1 { i32 key, string value} serialization.format 1 serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe totalSize 2750 #### A masked pattern was here #### serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat properties: bucket_count 2 bucket_field_name key columns key,value columns.comments columns.types int:string #### A masked pattern was here #### name default.srcbucket_mapjoin_part_1 partition_columns part partition_columns.types string serialization.ddl struct srcbucket_mapjoin_part_1 { i32 key, string value} serialization.format 1 serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe #### A masked pattern was here #### serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe name: default.srcbucket_mapjoin_part_1 name: default.srcbucket_mapjoin_part_1 Truncated Path -> Alias: /srcbucket_mapjoin_part_1/part=1 [a] Needs Tagging: false Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) mode: mergepartial outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false GlobalTableId: 0 #### A masked pattern was here #### NumFilesPerFileSink: 1 Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE #### A masked pattern was here #### table: input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat properties: columns _col0 columns.types bigint escape.delim \ hive.serialization.extend.additional.nesting.levels true serialization.format 1 serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe TotalFiles: 1 GatherStats: false MultiFileSpray: false Stage: Stage-0 Fetch Operator limit: -1 Processor Tree: ListSink PREHOOK: query: SELECT /*+ MAPJOIN(b) */ count(*) FROM srcbucket_mapjoin_part_1 a JOIN srcbucket_mapjoin_part_2 b ON a.key = b.key AND a.part = '1' and b.part = '1' PREHOOK: type: QUERY PREHOOK: Input: default@srcbucket_mapjoin_part_1 PREHOOK: Input: default@srcbucket_mapjoin_part_1@part=1 PREHOOK: Input: default@srcbucket_mapjoin_part_2 PREHOOK: Input: default@srcbucket_mapjoin_part_2@part=1 #### A masked pattern was here #### POSTHOOK: query: SELECT /*+ MAPJOIN(b) */ count(*) FROM srcbucket_mapjoin_part_1 a JOIN srcbucket_mapjoin_part_2 b ON a.key = b.key AND a.part = '1' and b.part = '1' POSTHOOK: type: QUERY POSTHOOK: Input: default@srcbucket_mapjoin_part_1 POSTHOOK: Input: default@srcbucket_mapjoin_part_1@part=1 POSTHOOK: Input: default@srcbucket_mapjoin_part_2 POSTHOOK: Input: default@srcbucket_mapjoin_part_2@part=1 #### A masked pattern was here #### 464