Modified: hive/branches/llap/ql/src/test/results/clientpositive/vectorized_ptf.q.out URL: http://svn.apache.org/viewvc/hive/branches/llap/ql/src/test/results/clientpositive/vectorized_ptf.q.out?rev=1654355&r1=1654354&r2=1654355&view=diff ============================================================================== --- hive/branches/llap/ql/src/test/results/clientpositive/vectorized_ptf.q.out (original) +++ hive/branches/llap/ql/src/test/results/clientpositive/vectorized_ptf.q.out Fri Jan 23 19:59:11 2015 @@ -263,7 +263,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -283,7 +283,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -329,7 +329,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + value expressions: _col5 (type: int), _col7 (type: double) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -358,7 +358,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -609,7 +611,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -629,7 +631,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -742,7 +744,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 14 Data size: 8823 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + value expressions: _col5 (type: int) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -771,7 +773,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 Statistics: Num rows: 14 Data size: 8823 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 14 Data size: 8823 Basic stats: COMPLETE Column stats: NONE @@ -942,7 +946,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -962,7 +966,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -1193,7 +1197,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -1213,7 +1217,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -1259,7 +1263,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + value expressions: _col5 (type: int), _col7 (type: double) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -1288,7 +1292,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -1522,7 +1528,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -1542,7 +1548,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -1588,7 +1594,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + value expressions: _col5 (type: int) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -1617,7 +1623,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -1861,7 +1869,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -1881,7 +1889,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -1994,7 +2002,7 @@ STAGE PLANS: Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 13 Data size: 8021 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + value expressions: _col2 (type: int) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -2023,7 +2031,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: int) + outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 13 Data size: 8021 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 13 Data size: 8021 Basic stats: COMPLETE Column stats: NONE @@ -2212,7 +2222,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -2232,7 +2242,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -2341,7 +2351,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -2361,7 +2371,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -2559,7 +2569,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -2579,7 +2589,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -2688,7 +2698,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -2708,7 +2718,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -2917,7 +2927,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -2937,7 +2947,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -2983,7 +2993,6 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -3012,7 +3021,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey2 (type: int) + outputColumnNames: _col1, _col2, _col5 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -3235,7 +3246,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -3255,7 +3266,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -3301,7 +3312,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + value expressions: _col5 (type: int), _col7 (type: double) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -3330,7 +3341,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -3555,7 +3568,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -3575,7 +3588,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -3621,7 +3634,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + value expressions: _col5 (type: int), _col7 (type: double) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -3650,7 +3663,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -3885,7 +3900,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -3905,7 +3920,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -4015,7 +4030,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + value expressions: _col5 (type: int), _col7 (type: double) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -4044,7 +4059,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -4299,7 +4316,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -4319,7 +4336,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -4365,7 +4382,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + value expressions: _col5 (type: int), _col7 (type: double) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -4394,7 +4411,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -4726,7 +4745,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -4746,7 +4765,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -4855,7 +4874,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -4875,7 +4894,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -4922,7 +4941,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 14 Data size: 8823 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + value expressions: _col5 (type: int), _col7 (type: double) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -4951,7 +4970,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 Statistics: Num rows: 14 Data size: 8823 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 14 Data size: 8823 Basic stats: COMPLETE Column stats: NONE @@ -5133,7 +5154,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -5153,7 +5174,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -5455,7 +5476,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -5475,7 +5496,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -5582,7 +5603,7 @@ STAGE PLANS: Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 13 Data size: 8021 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double) + value expressions: _col2 (type: double) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -5611,7 +5632,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 13 Data size: 8021 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 13 Data size: 8021 Basic stats: COMPLETE Column stats: NONE @@ -6002,7 +6025,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -6022,7 +6045,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -6085,7 +6108,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + value expressions: _col1 (type: string) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -6114,7 +6137,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: VALUE._col1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int) + outputColumnNames: _col1, _col2, _col5 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -6147,7 +6172,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _wcol0 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) + value expressions: _wcol0 (type: bigint), _col5 (type: int) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -6176,7 +6201,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: VALUE._col0 (type: bigint), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col4 (type: int) + outputColumnNames: _col0, _col2, _col3, _col6 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -6248,7 +6275,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + value expressions: _col5 (type: int), _col7 (type: double) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -6277,7 +6304,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -6642,7 +6671,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -6662,7 +6691,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -6772,7 +6801,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string), _col1 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + value expressions: _col5 (type: int) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -6801,7 +6830,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -7087,7 +7118,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -7107,7 +7138,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -7277,7 +7308,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + value expressions: _col5 (type: int) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -7306,7 +7337,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -7575,7 +7608,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -7595,7 +7628,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -7703,7 +7736,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + value expressions: _col5 (type: int) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -7732,7 +7765,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -8013,7 +8048,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -8033,7 +8068,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -8205,7 +8240,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string), _col1 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + value expressions: _col5 (type: int) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -8234,7 +8269,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -8546,7 +8583,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -8566,7 +8603,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -8676,7 +8713,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string), _col1 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + value expressions: _col5 (type: int) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -8705,7 +8742,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE @@ -8983,7 +9022,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde @@ -9003,7 +9042,7 @@ STAGE PLANS: serialization.ddl struct part_orc { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} serialization.format 1 serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde - totalSize 2599 + totalSize 2639 #### A masked pattern was here #### serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde name: default.part_orc @@ -9113,7 +9152,7 @@ STAGE PLANS: Map-reduce partition columns: _col2 (type: string) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE tag: -1 - value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + value expressions: _col5 (type: int) auto parallelism: false Path -> Alias: #### A masked pattern was here #### @@ -9142,7 +9181,9 @@ STAGE PLANS: #### A masked pattern was here #### Needs Tagging: false Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE
Modified: hive/branches/llap/ql/src/test/results/clientpositive/windowing.q.out URL: http://svn.apache.org/viewvc/hive/branches/llap/ql/src/test/results/clientpositive/windowing.q.out?rev=1654355&r1=1654354&r2=1654355&view=diff ============================================================================== --- hive/branches/llap/ql/src/test/results/clientpositive/windowing.q.out (original) +++ hive/branches/llap/ql/src/test/results/clientpositive/windowing.q.out Fri Jan 23 19:59:11 2015 @@ -1,4 +1,6 @@ -PREHOOK: query: -- 1. testWindowing +PREHOOK: query: -- SORT_QUERY_RESULTS + +-- 1. testWindowing select p_mfgr, p_name, p_size, rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr, @@ -7,7 +9,9 @@ from part PREHOOK: type: QUERY PREHOOK: Input: default@part #### A masked pattern was here #### -POSTHOOK: query: -- 1. testWindowing +POSTHOOK: query: -- SORT_QUERY_RESULTS + +-- 1. testWindowing select p_mfgr, p_name, p_size, rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr, @@ -250,32 +254,32 @@ from part POSTHOOK: type: QUERY POSTHOOK: Input: default@part #### A masked pattern was here #### +1 1 1 1620.67 0 +1 1 1 1671.68 0 +1 1 1 1690.68 0 +1 1 1 1789.69 0 1 1 2 1173.15 0 1 1 2 2346.3 0 -3 2 3 4100.06 32 -4 3 4 5702.650000000001 -28 -5 4 5 7117.070000000001 22 -6 5 6 8749.730000000001 14 -1 1 1 1690.68 0 -2 2 2 3491.38 26 -3 3 3 5523.360000000001 -38 -4 4 4 7222.02 23 -5 5 5 8923.62 -7 -1 1 1 1671.68 0 2 2 2 2861.95 -3 -3 3 3 4272.34 5 -4 4 4 6195.32 -18 -5 5 5 7532.61 44 -1 1 1 1620.67 0 2 2 2 2996.09 29 -3 3 3 4202.35 -12 -4 4 4 6047.27 -20 -5 5 5 7337.620000000001 5 -1 1 1 1789.69 0 2 2 2 3401.3500000000004 -25 +2 2 2 3491.38 26 +3 2 3 4100.06 32 +3 3 3 4202.35 -12 +3 3 3 4272.34 5 3 3 3 5190.08 -4 +3 3 3 5523.360000000001 -38 +4 3 4 5702.650000000001 -28 +4 4 4 6047.27 -20 +4 4 4 6195.32 -18 4 4 4 6208.18 44 +4 4 4 7222.02 23 +5 4 5 7117.070000000001 22 +5 5 5 7337.620000000001 5 +5 5 5 7532.61 44 5 5 5 7672.66 -23 +5 5 5 8923.62 -7 +6 5 6 8749.730000000001 14 PREHOOK: query: -- 7. testJoinWithWindowingAndPTF select abc.p_mfgr, abc.p_name, rank() over(distribute by abc.p_mfgr sort by abc.p_name) as r, @@ -902,8 +906,8 @@ window w1 as (distribute by p_mfgr sort POSTHOOK: type: QUERY POSTHOOK: Input: default@part #### A masked pattern was here #### -Manufacturer#1 almond antique burnished rose metallic 2 273.70217881648074 273.70217881648074 [2,34] 74912.8826888888 1.0 4128.782222222221 Manufacturer#1 almond antique burnished rose metallic 2 258.10677784349235 258.10677784349235 [2,34,6] 66619.10876874991 0.811328754177887 2801.7074999999995 +Manufacturer#1 almond antique burnished rose metallic 2 273.70217881648074 273.70217881648074 [2,34] 74912.8826888888 1.0 4128.782222222221 Manufacturer#1 almond antique chartreuse lavender yellow 34 230.90151585470358 230.90151585470358 [2,34,6,28] 53315.51002399992 0.695639377397664 2210.7864 Manufacturer#1 almond antique salmon chartreuse burlywood 6 202.73109328368946 202.73109328368946 [2,34,6,28,42] 41099.896184 0.630785977101214 2009.9536000000007 Manufacturer#1 almond aquamarine burnished black steel 28 121.6064517973862 121.6064517973862 [34,6,28,42] 14788.129118750014 0.2036684720435979 331.1337500000004 @@ -948,8 +952,8 @@ window w1 as (distribute by p_mfgr sort POSTHOOK: type: QUERY POSTHOOK: Input: default@part #### A masked pattern was here #### -Manufacturer#1 almond antique burnished rose metallic 2 [{"x":1173.15,"y":2.0},{"x":1753.76,"y":1.0}] 121152.0 1 Manufacturer#1 almond antique burnished rose metallic 2 [{"x":1173.15,"y":2.0},{"x":1602.59,"y":1.0},{"x":1753.76,"y":1.0}] 115872.0 2 +Manufacturer#1 almond antique burnished rose metallic 2 [{"x":1173.15,"y":2.0},{"x":1753.76,"y":1.0}] 121152.0 1 Manufacturer#1 almond antique chartreuse lavender yellow 34 [{"x":1173.15,"y":2.0},{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1753.76,"y":1.0}] 110592.0 3 Manufacturer#1 almond antique salmon chartreuse burlywood 6 [{"x":1173.15,"y":1.0},{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1632.66,"y":1.0},{"x":1753.76,"y":1.0}] 86428.0 4 Manufacturer#1 almond aquamarine burnished black steel 28 [{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1632.66,"y":1.0},{"x":1753.76,"y":1.0}] 86098.0 5 @@ -1096,32 +1100,32 @@ POSTHOOK: type: QUERY POSTHOOK: Input: default@mfgr_brand_price_view POSTHOOK: Input: default@part #### A masked pattern was here #### +Manufacturer#1 Brand#12 4100.06 +Manufacturer#1 Brand#12 4649.670000000001 +Manufacturer#1 Brand#12 4770.77 Manufacturer#1 Brand#14 1173.15 Manufacturer#1 Brand#14 2346.3 -Manufacturer#1 Brand#12 4100.06 Manufacturer#1 Brand#15 4529.5 -Manufacturer#1 Brand#12 4770.77 -Manufacturer#1 Brand#12 4649.670000000001 Manufacturer#2 Brand#22 1690.68 Manufacturer#2 Brand#22 3491.38 Manufacturer#2 Brand#23 5523.360000000001 Manufacturer#2 Brand#24 5531.34 Manufacturer#2 Brand#25 5432.240000000001 Manufacturer#3 Brand#31 1671.68 -Manufacturer#3 Brand#35 2861.95 Manufacturer#3 Brand#32 4272.34 Manufacturer#3 Brand#32 4523.639999999999 Manufacturer#3 Brand#34 4670.66 +Manufacturer#3 Brand#35 2861.95 Manufacturer#4 Brand#41 1620.67 +Manufacturer#4 Brand#41 4341.530000000001 +Manufacturer#4 Brand#41 4426.6 Manufacturer#4 Brand#42 2996.09 Manufacturer#4 Brand#42 4202.35 -Manufacturer#4 Brand#41 4426.6 -Manufacturer#4 Brand#41 4341.530000000001 -Manufacturer#5 Brand#52 1789.69 Manufacturer#5 Brand#51 3401.3500000000004 -Manufacturer#5 Brand#53 5190.08 -Manufacturer#5 Brand#53 4418.49 +Manufacturer#5 Brand#52 1789.69 Manufacturer#5 Brand#52 4271.3099999999995 +Manufacturer#5 Brand#53 4418.49 +Manufacturer#5 Brand#53 5190.08 PREHOOK: query: -- 24. testLateralViews select p_mfgr, p_name, lv_col, p_size, sum(p_size) over w1 as s @@ -1146,78 +1150,78 @@ Manufacturer#1 almond antique burnished Manufacturer#1 almond antique burnished rose metallic 2 2 6 Manufacturer#1 almond antique burnished rose metallic 3 2 6 Manufacturer#1 almond antique burnished rose metallic 3 2 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1 34 90 +Manufacturer#1 almond antique chartreuse lavender yellow 2 34 96 +Manufacturer#1 almond antique chartreuse lavender yellow 3 34 102 Manufacturer#1 almond antique salmon chartreuse burlywood 1 6 10 Manufacturer#1 almond antique salmon chartreuse burlywood 2 6 14 Manufacturer#1 almond antique salmon chartreuse burlywood 3 6 18 Manufacturer#1 almond aquamarine burnished black steel 1 28 40 Manufacturer#1 almond aquamarine burnished black steel 2 28 62 Manufacturer#1 almond aquamarine burnished black steel 3 28 84 -Manufacturer#1 almond antique chartreuse lavender yellow 1 34 90 -Manufacturer#1 almond antique chartreuse lavender yellow 2 34 96 -Manufacturer#1 almond antique chartreuse lavender yellow 3 34 102 Manufacturer#1 almond aquamarine pink moccasin thistle 1 42 110 Manufacturer#1 almond aquamarine pink moccasin thistle 2 42 118 Manufacturer#1 almond aquamarine pink moccasin thistle 3 42 126 -Manufacturer#2 almond aquamarine midnight light salmon 1 2 2 -Manufacturer#2 almond aquamarine midnight light salmon 2 2 4 -Manufacturer#2 almond aquamarine midnight light salmon 3 2 6 Manufacturer#2 almond antique violet chocolate turquoise 1 14 18 Manufacturer#2 almond antique violet chocolate turquoise 2 14 30 Manufacturer#2 almond antique violet chocolate turquoise 3 14 42 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 1 18 46 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 2 18 50 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 3 18 54 -Manufacturer#2 almond aquamarine rose maroon antique 1 25 61 -Manufacturer#2 almond aquamarine rose maroon antique 2 25 68 -Manufacturer#2 almond aquamarine rose maroon antique 3 25 75 Manufacturer#2 almond antique violet turquoise frosted 1 40 90 Manufacturer#2 almond antique violet turquoise frosted 2 40 105 Manufacturer#2 almond antique violet turquoise frosted 3 40 120 -Manufacturer#3 almond antique misty red olive 1 1 1 -Manufacturer#3 almond antique misty red olive 2 1 2 -Manufacturer#3 almond antique misty red olive 3 1 3 -Manufacturer#3 almond antique forest lavender goldenrod 1 14 16 -Manufacturer#3 almond antique forest lavender goldenrod 2 14 29 -Manufacturer#3 almond antique forest lavender goldenrod 3 14 42 +Manufacturer#2 almond aquamarine midnight light salmon 1 2 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 4 +Manufacturer#2 almond aquamarine midnight light salmon 3 2 6 +Manufacturer#2 almond aquamarine rose maroon antique 1 25 61 +Manufacturer#2 almond aquamarine rose maroon antique 2 25 68 +Manufacturer#2 almond aquamarine rose maroon antique 3 25 75 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1 18 46 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 2 18 50 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 3 18 54 Manufacturer#3 almond antique chartreuse khaki white 1 17 45 Manufacturer#3 almond antique chartreuse khaki white 2 17 48 Manufacturer#3 almond antique chartreuse khaki white 3 17 51 +Manufacturer#3 almond antique forest lavender goldenrod 1 14 16 +Manufacturer#3 almond antique forest lavender goldenrod 2 14 29 +Manufacturer#3 almond antique forest lavender goldenrod 3 14 42 Manufacturer#3 almond antique metallic orange dim 1 19 53 Manufacturer#3 almond antique metallic orange dim 2 19 55 Manufacturer#3 almond antique metallic orange dim 3 19 57 +Manufacturer#3 almond antique misty red olive 1 1 1 +Manufacturer#3 almond antique misty red olive 2 1 2 +Manufacturer#3 almond antique misty red olive 3 1 3 Manufacturer#3 almond antique olive coral navajo 1 45 83 Manufacturer#3 almond antique olive coral navajo 2 45 109 Manufacturer#3 almond antique olive coral navajo 3 45 135 -Manufacturer#4 almond aquamarine yellow dodger mint 1 7 7 -Manufacturer#4 almond aquamarine yellow dodger mint 2 7 14 -Manufacturer#4 almond aquamarine yellow dodger mint 3 7 21 Manufacturer#4 almond antique gainsboro frosted violet 1 10 24 Manufacturer#4 almond antique gainsboro frosted violet 2 10 27 Manufacturer#4 almond antique gainsboro frosted violet 3 10 30 -Manufacturer#4 almond azure aquamarine papaya violet 1 12 32 -Manufacturer#4 almond azure aquamarine papaya violet 2 12 34 -Manufacturer#4 almond azure aquamarine papaya violet 3 12 36 -Manufacturer#4 almond aquamarine floral ivory bisque 1 27 51 -Manufacturer#4 almond aquamarine floral ivory bisque 2 27 66 -Manufacturer#4 almond aquamarine floral ivory bisque 3 27 81 Manufacturer#4 almond antique violet mint lemon 1 39 93 Manufacturer#4 almond antique violet mint lemon 2 39 105 Manufacturer#4 almond antique violet mint lemon 3 39 117 -Manufacturer#5 almond antique sky peru orange 1 2 2 -Manufacturer#5 almond antique sky peru orange 2 2 4 -Manufacturer#5 almond antique sky peru orange 3 2 6 -Manufacturer#5 almond antique medium spring khaki 1 6 10 -Manufacturer#5 almond antique medium spring khaki 2 6 14 -Manufacturer#5 almond antique medium spring khaki 3 6 18 -Manufacturer#5 almond azure blanched chiffon midnight 1 23 35 -Manufacturer#5 almond azure blanched chiffon midnight 2 23 52 -Manufacturer#5 almond azure blanched chiffon midnight 3 23 69 +Manufacturer#4 almond aquamarine floral ivory bisque 1 27 51 +Manufacturer#4 almond aquamarine floral ivory bisque 2 27 66 +Manufacturer#4 almond aquamarine floral ivory bisque 3 27 81 +Manufacturer#4 almond aquamarine yellow dodger mint 1 7 7 +Manufacturer#4 almond aquamarine yellow dodger mint 2 7 14 +Manufacturer#4 almond aquamarine yellow dodger mint 3 7 21 +Manufacturer#4 almond azure aquamarine papaya violet 1 12 32 +Manufacturer#4 almond azure aquamarine papaya violet 2 12 34 +Manufacturer#4 almond azure aquamarine papaya violet 3 12 36 Manufacturer#5 almond antique blue firebrick mint 1 31 77 Manufacturer#5 almond antique blue firebrick mint 2 31 85 Manufacturer#5 almond antique blue firebrick mint 3 31 93 +Manufacturer#5 almond antique medium spring khaki 1 6 10 +Manufacturer#5 almond antique medium spring khaki 2 6 14 +Manufacturer#5 almond antique medium spring khaki 3 6 18 +Manufacturer#5 almond antique sky peru orange 1 2 2 +Manufacturer#5 almond antique sky peru orange 2 2 4 +Manufacturer#5 almond antique sky peru orange 3 2 6 Manufacturer#5 almond aquamarine dodger light gainsboro 1 46 108 Manufacturer#5 almond aquamarine dodger light gainsboro 2 46 123 Manufacturer#5 almond aquamarine dodger light gainsboro 3 46 138 +Manufacturer#5 almond azure blanched chiffon midnight 1 23 35 +Manufacturer#5 almond azure blanched chiffon midnight 2 23 52 +Manufacturer#5 almond azure blanched chiffon midnight 3 23 69 PREHOOK: query: -- 25. testMultipleInserts3SWQs CREATE TABLE part_1( p_mfgr STRING, @@ -1523,30 +1527,30 @@ POSTHOOK: Input: default@part #### A masked pattern was here #### Manufacturer#1 almond antique burnished rose metallic 2 4 10 Manufacturer#1 almond antique burnished rose metallic 2 4 10 +Manufacturer#1 almond antique chartreuse lavender yellow 34 62 76 Manufacturer#1 almond antique salmon chartreuse burlywood 6 10 6 Manufacturer#1 almond aquamarine burnished black steel 28 28 62 -Manufacturer#1 almond antique chartreuse lavender yellow 34 62 76 Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 42 -Manufacturer#2 almond aquamarine midnight light salmon 2 2 2 Manufacturer#2 almond antique violet chocolate turquoise 14 14 32 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 32 43 -Manufacturer#2 almond aquamarine rose maroon antique 25 43 25 Manufacturer#2 almond antique violet turquoise frosted 40 40 40 -Manufacturer#3 almond antique misty red olive 1 1 1 -Manufacturer#3 almond antique forest lavender goldenrod 14 14 50 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 2 +Manufacturer#2 almond aquamarine rose maroon antique 25 43 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 32 43 Manufacturer#3 almond antique chartreuse khaki white 17 31 36 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 50 Manufacturer#3 almond antique metallic orange dim 19 50 19 +Manufacturer#3 almond antique misty red olive 1 1 1 Manufacturer#3 almond antique olive coral navajo 45 45 45 -Manufacturer#4 almond aquamarine yellow dodger mint 7 7 29 Manufacturer#4 almond antique gainsboro frosted violet 10 17 22 -Manufacturer#4 almond azure aquamarine papaya violet 12 29 12 -Manufacturer#4 almond aquamarine floral ivory bisque 27 27 27 Manufacturer#4 almond antique violet mint lemon 39 39 39 -Manufacturer#5 almond antique sky peru orange 2 2 8 -Manufacturer#5 almond antique medium spring khaki 6 8 6 -Manufacturer#5 almond azure blanched chiffon midnight 23 23 54 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 27 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 29 +Manufacturer#4 almond azure aquamarine papaya violet 12 29 12 Manufacturer#5 almond antique blue firebrick mint 31 54 31 +Manufacturer#5 almond antique medium spring khaki 6 8 6 +Manufacturer#5 almond antique sky peru orange 2 2 8 Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 46 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 54 PREHOOK: query: -- 28. testPartOrderInUDAFInvoke select p_mfgr, p_name, p_size, sum(p_size) over (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) as s @@ -2071,12 +2075,12 @@ Manufacturer#3 MEDIUM BURNISHED TIN EDIU Manufacturer#3 PROMO ANODIZED TIN ROMO ANODIZED TIN 4 Manufacturer#3 STANDARD POLISHED STEEL TANDARD POLISHED STEEL 5 Manufacturer#4 ECONOMY BRUSHED COPPER CONOMY BRUSHED COPPER 1 +Manufacturer#4 PROMO POLISHED STEEL ROMO POLISHED STEEL 4 Manufacturer#4 SMALL BRUSHED BRASS MALL BRUSHED BRASS 2 Manufacturer#4 SMALL PLATED STEEL MALL PLATED STEEL 3 -Manufacturer#4 PROMO POLISHED STEEL ROMO POLISHED STEEL 4 Manufacturer#4 STANDARD ANODIZED TIN TANDARD ANODIZED TIN 5 -Manufacturer#5 LARGE BRUSHED BRASS ARGE BRUSHED BRASS 1 Manufacturer#5 ECONOMY BURNISHED STEEL CONOMY BURNISHED STEEL 2 +Manufacturer#5 LARGE BRUSHED BRASS ARGE BRUSHED BRASS 1 Manufacturer#5 MEDIUM BURNISHED TIN EDIUM BURNISHED TIN 3 Manufacturer#5 SMALL PLATED BRASS MALL PLATED BRASS 4 Manufacturer#5 STANDARD BURNISHED TIN TANDARD BURNISHED TIN 5 @@ -2136,30 +2140,30 @@ POSTHOOK: Input: default@part #### A masked pattern was here #### Manufacturer#1 almond antique burnished rose metallic 2 2346.3 Manufacturer#1 almond antique burnished rose metallic 2 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 7117.070000000001 Manufacturer#1 almond antique salmon chartreuse burlywood 6 3948.8900000000003 Manufacturer#1 almond aquamarine burnished black steel 28 5363.31 -Manufacturer#1 almond antique chartreuse lavender yellow 34 7117.070000000001 Manufacturer#1 almond aquamarine pink moccasin thistle 42 8749.730000000001 -Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 Manufacturer#2 almond antique violet chocolate turquoise 14 3722.66 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5424.26 -Manufacturer#2 almond aquamarine rose maroon antique 25 7122.92 Manufacturer#2 almond antique violet turquoise frosted 40 8923.62 -Manufacturer#3 almond antique misty red olive 1 1922.98 -Manufacturer#3 almond antique forest lavender goldenrod 14 3113.25 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 +Manufacturer#2 almond aquamarine rose maroon antique 25 7122.92 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5424.26 Manufacturer#3 almond antique chartreuse khaki white 17 4784.93 +Manufacturer#3 almond antique forest lavender goldenrod 14 3113.25 Manufacturer#3 almond antique metallic orange dim 19 6195.320000000001 +Manufacturer#3 almond antique misty red olive 1 1922.98 Manufacturer#3 almond antique olive coral navajo 45 7532.610000000001 -Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 Manufacturer#4 almond antique gainsboro frosted violet 10 3465.59 -Manufacturer#4 almond azure aquamarine papaya violet 12 4755.9400000000005 -Manufacturer#4 almond aquamarine floral ivory bisque 27 5962.200000000001 Manufacturer#4 almond antique violet mint lemon 39 7337.620000000001 -Manufacturer#5 almond antique sky peru orange 2 1788.73 -Manufacturer#5 almond antique medium spring khaki 6 3400.3900000000003 -Manufacturer#5 almond azure blanched chiffon midnight 23 4864.870000000001 +Manufacturer#4 almond aquamarine floral ivory bisque 27 5962.200000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 +Manufacturer#4 almond azure aquamarine papaya violet 12 4755.9400000000005 Manufacturer#5 almond antique blue firebrick mint 31 6654.560000000001 +Manufacturer#5 almond antique medium spring khaki 6 3400.3900000000003 +Manufacturer#5 almond antique sky peru orange 2 1788.73 Manufacturer#5 almond aquamarine dodger light gainsboro 46 7672.660000000002 +Manufacturer#5 almond azure blanched chiffon midnight 23 4864.870000000001 PREHOOK: query: -- 42. testUnboundedFollowingForRows select p_mfgr, p_name, p_size, sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between current row and unbounded following) as s1 @@ -2174,8 +2178,8 @@ select p_mfgr, p_name, p_size, POSTHOOK: type: QUERY POSTHOOK: Input: default@part #### A masked pattern was here #### -Manufacturer#1 almond antique burnished rose metallic 2 8749.730000000001 Manufacturer#1 almond antique burnished rose metallic 2 7576.58 +Manufacturer#1 almond antique burnished rose metallic 2 8749.730000000001 Manufacturer#1 almond antique chartreuse lavender yellow 34 6403.43 Manufacturer#1 almond antique salmon chartreuse burlywood 6 4649.67 Manufacturer#1 almond aquamarine burnished black steel 28 3047.08 @@ -2216,30 +2220,30 @@ POSTHOOK: Input: default@part #### A masked pattern was here #### Manufacturer#1 almond antique burnished rose metallic 2 8749.730000000001 Manufacturer#1 almond antique burnished rose metallic 2 8749.730000000001 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3386.42 Manufacturer#1 almond antique salmon chartreuse burlywood 6 6403.43 Manufacturer#1 almond aquamarine burnished black steel 28 4800.84 -Manufacturer#1 almond antique chartreuse lavender yellow 34 3386.42 Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 -Manufacturer#2 almond aquamarine midnight light salmon 2 8923.62 Manufacturer#2 almond antique violet chocolate turquoise 14 6891.639999999999 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5200.96 -Manufacturer#2 almond aquamarine rose maroon antique 25 3499.36 Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 -Manufacturer#3 almond antique misty red olive 1 7532.610000000001 -Manufacturer#3 almond antique forest lavender goldenrod 14 5609.63 +Manufacturer#2 almond aquamarine midnight light salmon 2 8923.62 +Manufacturer#2 almond aquamarine rose maroon antique 25 3499.36 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5200.96 Manufacturer#3 almond antique chartreuse khaki white 17 4419.360000000001 +Manufacturer#3 almond antique forest lavender goldenrod 14 5609.63 Manufacturer#3 almond antique metallic orange dim 19 2747.6800000000003 +Manufacturer#3 almond antique misty red olive 1 7532.610000000001 Manufacturer#3 almond antique olive coral navajo 45 1337.29 -Manufacturer#4 almond aquamarine yellow dodger mint 7 7337.620000000001 Manufacturer#4 almond antique gainsboro frosted violet 10 5492.7 -Manufacturer#4 almond azure aquamarine papaya violet 12 3872.0299999999997 -Manufacturer#4 almond aquamarine floral ivory bisque 27 2581.6800000000003 Manufacturer#4 almond antique violet mint lemon 39 1375.42 -Manufacturer#5 almond antique sky peru orange 2 7672.660000000002 -Manufacturer#5 almond antique medium spring khaki 6 5883.93 -Manufacturer#5 almond azure blanched chiffon midnight 23 4272.27 +Manufacturer#4 almond aquamarine floral ivory bisque 27 2581.6800000000003 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7337.620000000001 +Manufacturer#4 almond azure aquamarine papaya violet 12 3872.0299999999997 Manufacturer#5 almond antique blue firebrick mint 31 2807.79 +Manufacturer#5 almond antique medium spring khaki 6 5883.93 +Manufacturer#5 almond antique sky peru orange 2 7672.660000000002 Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 +Manufacturer#5 almond azure blanched chiffon midnight 23 4272.27 PREHOOK: query: -- 44. testOverNoPartitionSingleAggregate select p_name, p_retailprice, round(avg(p_retailprice) over(),2) @@ -2316,10 +2320,10 @@ POSTHOOK: Input: default@part #### A masked pattern was here #### 1173.15 1458.2883333333336 8749.730000000001 1173.15 1515.3160000000003 7576.580000000002 -1753.76 1600.8575000000003 6403.430000000001 -1602.59 1549.8900000000003 4649.670000000001 1414.42 1523.5400000000004 3047.080000000001 +1602.59 1549.8900000000003 4649.670000000001 1632.66 1632.6600000000008 1632.6600000000008 +1753.76 1600.8575000000003 6403.430000000001 PREHOOK: query: -- 47. empty partition select sum(p_size) over (partition by p_mfgr ) from part where p_mfgr = 'm1' Modified: hive/branches/llap/ql/src/test/results/clientpositive/windowing_streaming.q.out URL: http://svn.apache.org/viewvc/hive/branches/llap/ql/src/test/results/clientpositive/windowing_streaming.q.out?rev=1654355&r1=1654354&r2=1654355&view=diff ============================================================================== --- hive/branches/llap/ql/src/test/results/clientpositive/windowing_streaming.q.out (original) +++ hive/branches/llap/ql/src/test/results/clientpositive/windowing_streaming.q.out Fri Jan 23 19:59:11 2015 @@ -74,9 +74,10 @@ STAGE PLANS: sort order: ++ Map-reduce partition columns: _col1 (type: string) Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string), _col1 (type: string) Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col0, _col1 Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE @@ -129,9 +130,10 @@ STAGE PLANS: Map-reduce partition columns: _col1 (type: string) Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.8 - value expressions: _col0 (type: string), _col1 (type: string) Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col0, _col1 Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE @@ -282,9 +284,10 @@ STAGE PLANS: Map-reduce partition columns: _col0 (type: tinyint) Statistics: Num rows: 12288 Data size: 377237 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.8 - value expressions: _col0 (type: tinyint), _col1 (type: double) Reduce Operator Tree: - Extract + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col0, _col1 Statistics: Num rows: 12288 Data size: 377237 Basic stats: COMPLETE Column stats: NONE PTF Operator Statistics: Num rows: 12288 Data size: 377237 Basic stats: COMPLETE Column stats: NONE Modified: hive/branches/llap/ql/src/test/templates/TestCliDriver.vm URL: http://svn.apache.org/viewvc/hive/branches/llap/ql/src/test/templates/TestCliDriver.vm?rev=1654355&r1=1654354&r2=1654355&view=diff ============================================================================== --- hive/branches/llap/ql/src/test/templates/TestCliDriver.vm (original) +++ hive/branches/llap/ql/src/test/templates/TestCliDriver.vm Fri Jan 23 19:59:11 2015 @@ -52,7 +52,7 @@ public class $className extends TestCase System.err.println("Exception: " + e.getMessage()); e.printStackTrace(); System.err.flush(); - fail("Unexpected exception in static initialization"+e.getMessage()); + fail("Unexpected exception in static initialization: "+e.getMessage()); } } Modified: hive/branches/llap/serde/pom.xml URL: http://svn.apache.org/viewvc/hive/branches/llap/serde/pom.xml?rev=1654355&r1=1654354&r2=1654355&view=diff ============================================================================== --- hive/branches/llap/serde/pom.xml (original) +++ hive/branches/llap/serde/pom.xml Fri Jan 23 19:59:11 2015 @@ -46,6 +46,11 @@ </dependency> <!-- inter-project --> <dependency> + <groupId>com.google.code.findbugs</groupId> + <artifactId>jsr305</artifactId> + <version>${jsr305.version}</version> + </dependency> + <dependency> <groupId>commons-codec</groupId> <artifactId>commons-codec</artifactId> <version>${commons-codec.version}</version> Modified: hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerDe.java URL: http://svn.apache.org/viewvc/hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerDe.java?rev=1654355&r1=1654354&r2=1654355&view=diff ============================================================================== --- hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerDe.java (original) +++ hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerDe.java Fri Jan 23 19:59:11 2015 @@ -100,7 +100,7 @@ public class AvroSerDe extends AbstractS || properties.getProperty(AvroSerdeUtils.AvroTableProperties.SCHEMA_URL.getPropName()) != null || columnNameProperty == null || columnNameProperty.isEmpty() || columnTypeProperty == null || columnTypeProperty.isEmpty()) { - schema = determineSchemaOrReturnErrorSchema(properties); + schema = determineSchemaOrReturnErrorSchema(configuration, properties); } else { // Get column names and sort order columnNames = Arrays.asList(columnNameProperty.split(",")); @@ -159,10 +159,10 @@ public class AvroSerDe extends AbstractS * any call, including calls to update the serde properties, meaning * if the serde is in a bad state, there is no way to update that state. */ - public Schema determineSchemaOrReturnErrorSchema(Properties props) { + public Schema determineSchemaOrReturnErrorSchema(Configuration conf, Properties props) { try { configErrors = ""; - return AvroSerdeUtils.determineSchemaOrThrowException(props); + return AvroSerdeUtils.determineSchemaOrThrowException(conf, props); } catch(AvroSerdeException he) { LOG.warn("Encountered AvroSerdeException determining schema. Returning " + "signal schema to indicate problem", he); Modified: hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerdeUtils.java URL: http://svn.apache.org/viewvc/hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerdeUtils.java?rev=1654355&r1=1654354&r2=1654355&view=diff ============================================================================== --- hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerdeUtils.java (original) +++ hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerdeUtils.java Fri Jan 23 19:59:11 2015 @@ -97,7 +97,7 @@ public class AvroSerdeUtils { * @throws IOException if error while trying to read the schema from another location * @throws AvroSerdeException if unable to find a schema or pointer to it in the properties */ - public static Schema determineSchemaOrThrowException(Properties properties) + public static Schema determineSchemaOrThrowException(Configuration conf, Properties properties) throws IOException, AvroSerdeException { String schemaString = properties.getProperty(AvroTableProperties.SCHEMA_LITERAL.getPropName()); if(schemaString != null && !schemaString.equals(SCHEMA_NONE)) @@ -109,7 +109,7 @@ public class AvroSerdeUtils { throw new AvroSerdeException(EXCEPTION_MESSAGE); try { - Schema s = getSchemaFromFS(schemaString, new Configuration()); + Schema s = getSchemaFromFS(schemaString, conf); if (s == null) { //in case schema is not a file system return AvroSerdeUtils.getSchemaFor(new URL(schemaString).openStream()); Modified: hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/columnar/ColumnarSerDe.java URL: http://svn.apache.org/viewvc/hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/columnar/ColumnarSerDe.java?rev=1654355&r1=1654354&r2=1654355&view=diff ============================================================================== --- hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/columnar/ColumnarSerDe.java (original) +++ hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/columnar/ColumnarSerDe.java Fri Jan 23 19:59:11 2015 @@ -113,7 +113,7 @@ public class ColumnarSerDe extends Colum cachedObjectInspector, notSkipIDs, serdeParams.getNullSequence()); super.initialize(size); - LOG.info("ColumnarSerDe initialized with: columnNames=" + LOG.debug("ColumnarSerDe initialized with: columnNames=" + serdeParams.getColumnNames() + " columnTypes=" + serdeParams.getColumnTypes() + " separator=" + Arrays.asList(serdeParams.getSeparators()) + " nullstring=" Modified: hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/objectinspector/primitive/WritableByteObjectInspector.java URL: http://svn.apache.org/viewvc/hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/objectinspector/primitive/WritableByteObjectInspector.java?rev=1654355&r1=1654354&r2=1654355&view=diff ============================================================================== --- hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/objectinspector/primitive/WritableByteObjectInspector.java (original) +++ hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/objectinspector/primitive/WritableByteObjectInspector.java Fri Jan 23 19:59:11 2015 @@ -33,17 +33,17 @@ public class WritableByteObjectInspector @Override public byte get(Object o) { - return ((ByteWritable) o).get(); + return ((org.apache.hadoop.io.ByteWritable) o).get(); } @Override public Object copyObject(Object o) { - return o == null ? null : new ByteWritable(((ByteWritable) o).get()); + return o == null ? null : new ByteWritable(get(o)); } @Override public Object getPrimitiveJavaObject(Object o) { - return o == null ? null : Byte.valueOf(((ByteWritable) o).get()); + return o == null ? null : Byte.valueOf(get(o)); } @Override @@ -53,7 +53,7 @@ public class WritableByteObjectInspector @Override public Object set(Object o, byte value) { - ((ByteWritable) o).set(value); + ((org.apache.hadoop.io.ByteWritable) o).set(value); return o; } } Modified: hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/objectinspector/primitive/WritableDoubleObjectInspector.java URL: http://svn.apache.org/viewvc/hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/objectinspector/primitive/WritableDoubleObjectInspector.java?rev=1654355&r1=1654354&r2=1654355&view=diff ============================================================================== --- hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/objectinspector/primitive/WritableDoubleObjectInspector.java (original) +++ hive/branches/llap/serde/src/java/org/apache/hadoop/hive/serde2/objectinspector/primitive/WritableDoubleObjectInspector.java Fri Jan 23 19:59:11 2015 @@ -33,17 +33,17 @@ public class WritableDoubleObjectInspect @Override public double get(Object o) { - return ((DoubleWritable) o).get(); + return ((org.apache.hadoop.io.DoubleWritable) o).get(); } @Override public Object copyObject(Object o) { - return o == null ? null : new DoubleWritable(((DoubleWritable) o).get()); + return o == null ? null : new DoubleWritable(get(o)); } @Override public Object getPrimitiveJavaObject(Object o) { - return o == null ? null : Double.valueOf(((DoubleWritable) o).get()); + return o == null ? null : Double.valueOf(get(o)); } @Override @@ -53,7 +53,7 @@ public class WritableDoubleObjectInspect @Override public Object set(Object o, double value) { - ((DoubleWritable) o).set(value); + ((org.apache.hadoop.io.DoubleWritable) o).set(value); return o; } Modified: hive/branches/llap/serde/src/test/org/apache/hadoop/hive/serde2/avro/TestAvroSerdeUtils.java URL: http://svn.apache.org/viewvc/hive/branches/llap/serde/src/test/org/apache/hadoop/hive/serde2/avro/TestAvroSerdeUtils.java?rev=1654355&r1=1654354&r2=1654355&view=diff ============================================================================== --- hive/branches/llap/serde/src/test/org/apache/hadoop/hive/serde2/avro/TestAvroSerdeUtils.java (original) +++ hive/branches/llap/serde/src/test/org/apache/hadoop/hive/serde2/avro/TestAvroSerdeUtils.java Fri Jan 23 19:59:11 2015 @@ -117,26 +117,29 @@ public class TestAvroSerdeUtils { @Test(expected=AvroSerdeException.class) public void determineSchemaThrowsExceptionIfNoSchema() throws IOException, AvroSerdeException { + Configuration conf = new Configuration(); Properties prop = new Properties(); - AvroSerdeUtils.determineSchemaOrThrowException(prop); + AvroSerdeUtils.determineSchemaOrThrowException(conf, prop); } @Test public void determineSchemaFindsLiterals() throws Exception { String schema = TestAvroObjectInspectorGenerator.RECORD_SCHEMA; + Configuration conf = new Configuration(); Properties props = new Properties(); props.put(AvroSerdeUtils.SCHEMA_LITERAL, schema); Schema expected = AvroSerdeUtils.getSchemaFor(schema); - assertEquals(expected, AvroSerdeUtils.determineSchemaOrThrowException(props)); + assertEquals(expected, AvroSerdeUtils.determineSchemaOrThrowException(conf, props)); } @Test public void detemineSchemaTriesToOpenUrl() throws AvroSerdeException, IOException { + Configuration conf = new Configuration(); Properties props = new Properties(); props.put(AvroSerdeUtils.SCHEMA_URL, "not:///a.real.url"); try { - AvroSerdeUtils.determineSchemaOrThrowException(props); + AvroSerdeUtils.determineSchemaOrThrowException(conf, props); fail("Should have tried to open that URL"); } catch (AvroSerdeException e) { assertEquals("Unable to read schema from given path: not:///a.real.url", e.getMessage()); @@ -145,13 +148,14 @@ public class TestAvroSerdeUtils { @Test public void noneOptionWorksForSpecifyingSchemas() throws IOException, AvroSerdeException { + Configuration conf = new Configuration(); Properties props = new Properties(); // Combo 1: Both set to none props.put(SCHEMA_URL, SCHEMA_NONE); props.put(SCHEMA_LITERAL, SCHEMA_NONE); try { - determineSchemaOrThrowException(props); + determineSchemaOrThrowException(conf, props); fail("Should have thrown exception with none set for both url and literal"); } catch(AvroSerdeException he) { assertEquals(EXCEPTION_MESSAGE, he.getMessage()); @@ -161,7 +165,7 @@ public class TestAvroSerdeUtils { props.put(SCHEMA_LITERAL, TestAvroObjectInspectorGenerator.RECORD_SCHEMA); Schema s; try { - s = determineSchemaOrThrowException(props); + s = determineSchemaOrThrowException(conf, props); assertNotNull(s); assertEquals(AvroSerdeUtils.getSchemaFor(TestAvroObjectInspectorGenerator.RECORD_SCHEMA), s); } catch(AvroSerdeException he) { @@ -172,7 +176,7 @@ public class TestAvroSerdeUtils { props.put(SCHEMA_LITERAL, SCHEMA_NONE); props.put(SCHEMA_URL, "not:///a.real.url"); try { - determineSchemaOrThrowException(props); + determineSchemaOrThrowException(conf, props); fail("Should have tried to open that bogus URL"); } catch (AvroSerdeException e) { assertEquals("Unable to read schema from given path: not:///a.real.url", e.getMessage());
