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Posted to commits@hive.apache.org by pr...@apache.org on 2015/09/15 22:42:35 UTC
[29/51] [partial] hive git commit: HIVE-11776: LLAP: Generate golden
files for all MiniLlapCluster tests (Prasanth Jayachandran)
http://git-wip-us.apache.org/repos/asf/hive/blob/ace87818/ql/src/test/results/clientpositive/llap/dynamic_partition_pruning_2.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/dynamic_partition_pruning_2.q.out b/ql/src/test/results/clientpositive/llap/dynamic_partition_pruning_2.q.out
new file mode 100644
index 0000000..22e0f29
--- /dev/null
+++ b/ql/src/test/results/clientpositive/llap/dynamic_partition_pruning_2.q.out
@@ -0,0 +1,1114 @@
+PREHOOK: query: create table dim_shops (id int, label string) row format delimited fields terminated by ',' stored as textfile
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@dim_shops
+POSTHOOK: query: create table dim_shops (id int, label string) row format delimited fields terminated by ',' stored as textfile
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@dim_shops
+PREHOOK: query: load data local inpath '../../data/files/dim_shops.txt' into table dim_shops
+PREHOOK: type: LOAD
+#### A masked pattern was here ####
+PREHOOK: Output: default@dim_shops
+POSTHOOK: query: load data local inpath '../../data/files/dim_shops.txt' into table dim_shops
+POSTHOOK: type: LOAD
+#### A masked pattern was here ####
+POSTHOOK: Output: default@dim_shops
+PREHOOK: query: create table agg_01 (amount decimal) partitioned by (dim_shops_id int) row format delimited fields terminated by ',' stored as textfile
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@agg_01
+POSTHOOK: query: create table agg_01 (amount decimal) partitioned by (dim_shops_id int) row format delimited fields terminated by ',' stored as textfile
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@agg_01
+PREHOOK: query: alter table agg_01 add partition (dim_shops_id = 1)
+PREHOOK: type: ALTERTABLE_ADDPARTS
+PREHOOK: Output: default@agg_01
+POSTHOOK: query: alter table agg_01 add partition (dim_shops_id = 1)
+POSTHOOK: type: ALTERTABLE_ADDPARTS
+POSTHOOK: Output: default@agg_01
+POSTHOOK: Output: default@agg_01@dim_shops_id=1
+PREHOOK: query: alter table agg_01 add partition (dim_shops_id = 2)
+PREHOOK: type: ALTERTABLE_ADDPARTS
+PREHOOK: Output: default@agg_01
+POSTHOOK: query: alter table agg_01 add partition (dim_shops_id = 2)
+POSTHOOK: type: ALTERTABLE_ADDPARTS
+POSTHOOK: Output: default@agg_01
+POSTHOOK: Output: default@agg_01@dim_shops_id=2
+PREHOOK: query: alter table agg_01 add partition (dim_shops_id = 3)
+PREHOOK: type: ALTERTABLE_ADDPARTS
+PREHOOK: Output: default@agg_01
+POSTHOOK: query: alter table agg_01 add partition (dim_shops_id = 3)
+POSTHOOK: type: ALTERTABLE_ADDPARTS
+POSTHOOK: Output: default@agg_01
+POSTHOOK: Output: default@agg_01@dim_shops_id=3
+PREHOOK: query: load data local inpath '../../data/files/agg_01-p1.txt' into table agg_01 partition (dim_shops_id=1)
+PREHOOK: type: LOAD
+#### A masked pattern was here ####
+PREHOOK: Output: default@agg_01@dim_shops_id=1
+POSTHOOK: query: load data local inpath '../../data/files/agg_01-p1.txt' into table agg_01 partition (dim_shops_id=1)
+POSTHOOK: type: LOAD
+#### A masked pattern was here ####
+POSTHOOK: Output: default@agg_01@dim_shops_id=1
+PREHOOK: query: load data local inpath '../../data/files/agg_01-p2.txt' into table agg_01 partition (dim_shops_id=2)
+PREHOOK: type: LOAD
+#### A masked pattern was here ####
+PREHOOK: Output: default@agg_01@dim_shops_id=2
+POSTHOOK: query: load data local inpath '../../data/files/agg_01-p2.txt' into table agg_01 partition (dim_shops_id=2)
+POSTHOOK: type: LOAD
+#### A masked pattern was here ####
+POSTHOOK: Output: default@agg_01@dim_shops_id=2
+PREHOOK: query: load data local inpath '../../data/files/agg_01-p3.txt' into table agg_01 partition (dim_shops_id=3)
+PREHOOK: type: LOAD
+#### A masked pattern was here ####
+PREHOOK: Output: default@agg_01@dim_shops_id=3
+POSTHOOK: query: load data local inpath '../../data/files/agg_01-p3.txt' into table agg_01 partition (dim_shops_id=3)
+POSTHOOK: type: LOAD
+#### A masked pattern was here ####
+POSTHOOK: Output: default@agg_01@dim_shops_id=3
+PREHOOK: query: analyze table dim_shops compute statistics
+PREHOOK: type: QUERY
+PREHOOK: Input: default@dim_shops
+PREHOOK: Output: default@dim_shops
+POSTHOOK: query: analyze table dim_shops compute statistics
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@dim_shops
+POSTHOOK: Output: default@dim_shops
+PREHOOK: query: analyze table agg_01 partition (dim_shops_id) compute statistics
+PREHOOK: type: QUERY
+PREHOOK: Input: default@agg_01
+PREHOOK: Input: default@agg_01@dim_shops_id=1
+PREHOOK: Input: default@agg_01@dim_shops_id=2
+PREHOOK: Input: default@agg_01@dim_shops_id=3
+PREHOOK: Output: default@agg_01
+PREHOOK: Output: default@agg_01@dim_shops_id=1
+PREHOOK: Output: default@agg_01@dim_shops_id=2
+PREHOOK: Output: default@agg_01@dim_shops_id=3
+POSTHOOK: query: analyze table agg_01 partition (dim_shops_id) compute statistics
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@agg_01
+POSTHOOK: Input: default@agg_01@dim_shops_id=1
+POSTHOOK: Input: default@agg_01@dim_shops_id=2
+POSTHOOK: Input: default@agg_01@dim_shops_id=3
+POSTHOOK: Output: default@agg_01
+POSTHOOK: Output: default@agg_01@dim_shops_id=1
+POSTHOOK: Output: default@agg_01@dim_shops_id=2
+POSTHOOK: Output: default@agg_01@dim_shops_id=3
+PREHOOK: query: select * from dim_shops
+PREHOOK: type: QUERY
+PREHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+POSTHOOK: query: select * from dim_shops
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+1 foo
+2 bar
+3 baz
+PREHOOK: query: select * from agg_01
+PREHOOK: type: QUERY
+PREHOOK: Input: default@agg_01
+PREHOOK: Input: default@agg_01@dim_shops_id=1
+PREHOOK: Input: default@agg_01@dim_shops_id=2
+PREHOOK: Input: default@agg_01@dim_shops_id=3
+#### A masked pattern was here ####
+POSTHOOK: query: select * from agg_01
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@agg_01
+POSTHOOK: Input: default@agg_01@dim_shops_id=1
+POSTHOOK: Input: default@agg_01@dim_shops_id=2
+POSTHOOK: Input: default@agg_01@dim_shops_id=3
+#### A masked pattern was here ####
+1 1
+2 1
+3 1
+4 2
+5 2
+6 2
+7 3
+8 3
+9 3
+PREHOOK: query: EXPLAIN SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+POSTHOOK: type: QUERY
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+ Edges:
+ Map 1 <- Map 4 (BROADCAST_EDGE)
+ Reducer 2 <- Map 1 (SIMPLE_EDGE)
+ Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: agg
+ filterExpr: dim_shops_id is not null (type: boolean)
+ Statistics: Num rows: 9 Data size: 27 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 dim_shops_id (type: int)
+ 1 id (type: int)
+ outputColumnNames: _col0, _col1, _col5, _col6
+ input vertices:
+ 1 Map 4
+ Statistics: Num rows: 9 Data size: 29 Basic stats: COMPLETE Column stats: NONE
+ HybridGraceHashJoin: true
+ Filter Operator
+ predicate: ((_col1 = _col5) and (_col6) IN ('foo', 'bar')) (type: boolean)
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col6 (type: string), _col0 (type: decimal(10,0))
+ outputColumnNames: _col6, _col0
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count(), sum(_col0)
+ keys: _col6 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: bigint), _col2 (type: decimal(20,0))
+ Execution mode: llap
+ Map 4
+ Map Operator Tree:
+ TableScan
+ alias: d1
+ filterExpr: (id is not null and (label) IN ('foo', 'bar')) (type: boolean)
+ Statistics: Num rows: 3 Data size: 15 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (id is not null and (label) IN ('foo', 'bar')) (type: boolean)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: id (type: int)
+ sort order: +
+ Map-reduce partition columns: id (type: int)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ value expressions: label (type: string)
+ Select Operator
+ expressions: id (type: int)
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ keys: _col0 (type: int)
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Dynamic Partitioning Event Operator
+ Target Input: agg
+ Partition key expr: dim_shops_id
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Target column: dim_shops_id
+ Target Vertex: Map 1
+ Execution mode: llap
+ Reducer 2
+ Execution mode: llap
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0), sum(VALUE._col1)
+ keys: KEY._col0 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ sort order: +
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: bigint), _col2 (type: decimal(20,0))
+ Reducer 3
+ Execution mode: uber
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: decimal(20,0))
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+PREHOOK: type: QUERY
+PREHOOK: Input: default@agg_01
+PREHOOK: Input: default@agg_01@dim_shops_id=1
+PREHOOK: Input: default@agg_01@dim_shops_id=2
+PREHOOK: Input: default@agg_01@dim_shops_id=3
+PREHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@agg_01
+POSTHOOK: Input: default@agg_01@dim_shops_id=1
+POSTHOOK: Input: default@agg_01@dim_shops_id=2
+POSTHOOK: Input: default@agg_01@dim_shops_id=3
+POSTHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+bar 3 15
+foo 3 6
+PREHOOK: query: EXPLAIN SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+POSTHOOK: type: QUERY
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+ Edges:
+ Map 1 <- Map 4 (BROADCAST_EDGE)
+ Reducer 2 <- Map 1 (SIMPLE_EDGE)
+ Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: agg
+ filterExpr: dim_shops_id is not null (type: boolean)
+ Statistics: Num rows: 9 Data size: 27 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 dim_shops_id (type: int)
+ 1 id (type: int)
+ outputColumnNames: _col0, _col1, _col5, _col6
+ input vertices:
+ 1 Map 4
+ Statistics: Num rows: 9 Data size: 29 Basic stats: COMPLETE Column stats: NONE
+ HybridGraceHashJoin: true
+ Filter Operator
+ predicate: ((_col1 = _col5) and (_col6) IN ('foo', 'bar')) (type: boolean)
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col6 (type: string), _col0 (type: decimal(10,0))
+ outputColumnNames: _col6, _col0
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count(), sum(_col0)
+ keys: _col6 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: bigint), _col2 (type: decimal(20,0))
+ Execution mode: llap
+ Map 4
+ Map Operator Tree:
+ TableScan
+ alias: d1
+ filterExpr: (id is not null and (label) IN ('foo', 'bar')) (type: boolean)
+ Statistics: Num rows: 3 Data size: 15 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (id is not null and (label) IN ('foo', 'bar')) (type: boolean)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: id (type: int)
+ sort order: +
+ Map-reduce partition columns: id (type: int)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ value expressions: label (type: string)
+ Execution mode: llap
+ Reducer 2
+ Execution mode: llap
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0), sum(VALUE._col1)
+ keys: KEY._col0 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ sort order: +
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: bigint), _col2 (type: decimal(20,0))
+ Reducer 3
+ Execution mode: uber
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: decimal(20,0))
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+PREHOOK: type: QUERY
+PREHOOK: Input: default@agg_01
+PREHOOK: Input: default@agg_01@dim_shops_id=1
+PREHOOK: Input: default@agg_01@dim_shops_id=2
+PREHOOK: Input: default@agg_01@dim_shops_id=3
+PREHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@agg_01
+POSTHOOK: Input: default@agg_01@dim_shops_id=1
+POSTHOOK: Input: default@agg_01@dim_shops_id=2
+POSTHOOK: Input: default@agg_01@dim_shops_id=3
+POSTHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+bar 3 15
+foo 3 6
+PREHOOK: query: EXPLAIN SELECT d1.label
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN SELECT d1.label
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+POSTHOOK: type: QUERY
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+ Edges:
+ Map 1 <- Map 2 (BROADCAST_EDGE)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: agg
+ filterExpr: dim_shops_id is not null (type: boolean)
+ Statistics: Num rows: 9 Data size: 27 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 dim_shops_id (type: int)
+ 1 id (type: int)
+ outputColumnNames: _col1, _col5, _col6
+ input vertices:
+ 1 Map 2
+ Statistics: Num rows: 9 Data size: 29 Basic stats: COMPLETE Column stats: NONE
+ HybridGraceHashJoin: true
+ Filter Operator
+ predicate: (_col1 = _col5) (type: boolean)
+ Statistics: Num rows: 4 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col6 (type: string)
+ outputColumnNames: _col0
+ Statistics: Num rows: 4 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 4 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ Execution mode: llap
+ Map 2
+ Map Operator Tree:
+ TableScan
+ alias: d1
+ filterExpr: id is not null (type: boolean)
+ Statistics: Num rows: 3 Data size: 15 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: id is not null (type: boolean)
+ Statistics: Num rows: 2 Data size: 10 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: id (type: int)
+ sort order: +
+ Map-reduce partition columns: id (type: int)
+ Statistics: Num rows: 2 Data size: 10 Basic stats: COMPLETE Column stats: NONE
+ value expressions: label (type: string)
+ Execution mode: llap
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT d1.label
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+PREHOOK: type: QUERY
+PREHOOK: Input: default@agg_01
+PREHOOK: Input: default@agg_01@dim_shops_id=1
+PREHOOK: Input: default@agg_01@dim_shops_id=2
+PREHOOK: Input: default@agg_01@dim_shops_id=3
+PREHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT d1.label
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@agg_01
+POSTHOOK: Input: default@agg_01@dim_shops_id=1
+POSTHOOK: Input: default@agg_01@dim_shops_id=2
+POSTHOOK: Input: default@agg_01@dim_shops_id=3
+POSTHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+foo
+foo
+foo
+bar
+bar
+bar
+baz
+baz
+baz
+PREHOOK: query: EXPLAIN SELECT agg.amount
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and agg.dim_shops_id = 1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN SELECT agg.amount
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and agg.dim_shops_id = 1
+POSTHOOK: type: QUERY
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+ Edges:
+ Map 1 <- Map 2 (BROADCAST_EDGE)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: agg
+ filterExpr: (dim_shops_id = 1) (type: boolean)
+ Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 1 (type: int)
+ 1 1 (type: int)
+ outputColumnNames: _col0
+ input vertices:
+ 1 Map 2
+ Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE
+ HybridGraceHashJoin: true
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ Execution mode: llap
+ Map 2
+ Map Operator Tree:
+ TableScan
+ alias: d1
+ filterExpr: (id = 1) (type: boolean)
+ Statistics: Num rows: 3 Data size: 15 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (id = 1) (type: boolean)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: 1 (type: int)
+ sort order: +
+ Map-reduce partition columns: 1 (type: int)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Execution mode: llap
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT agg.amount
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and agg.dim_shops_id = 1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@agg_01
+PREHOOK: Input: default@agg_01@dim_shops_id=1
+PREHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT agg.amount
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and agg.dim_shops_id = 1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@agg_01
+POSTHOOK: Input: default@agg_01@dim_shops_id=1
+POSTHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+1
+2
+3
+PREHOOK: query: EXPLAIN SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+POSTHOOK: type: QUERY
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+ Edges:
+ Map 1 <- Map 4 (BROADCAST_EDGE)
+ Reducer 2 <- Map 1 (SIMPLE_EDGE)
+ Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: agg
+ filterExpr: dim_shops_id is not null (type: boolean)
+ Statistics: Num rows: 9 Data size: 27 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 dim_shops_id (type: int)
+ 1 id (type: int)
+ outputColumnNames: _col0, _col1, _col5, _col6
+ input vertices:
+ 1 Map 4
+ Statistics: Num rows: 9 Data size: 29 Basic stats: COMPLETE Column stats: NONE
+ HybridGraceHashJoin: true
+ Filter Operator
+ predicate: ((_col1 = _col5) and (_col6) IN ('foo', 'bar')) (type: boolean)
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col6 (type: string), _col0 (type: decimal(10,0))
+ outputColumnNames: _col6, _col0
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count(), sum(_col0)
+ keys: _col6 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 2 Data size: 6 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: bigint), _col2 (type: decimal(20,0))
+ Execution mode: llap
+ Map 4
+ Map Operator Tree:
+ TableScan
+ alias: d1
+ filterExpr: (id is not null and (label) IN ('foo', 'bar')) (type: boolean)
+ Statistics: Num rows: 3 Data size: 15 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (id is not null and (label) IN ('foo', 'bar')) (type: boolean)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: id (type: int)
+ sort order: +
+ Map-reduce partition columns: id (type: int)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ value expressions: label (type: string)
+ Select Operator
+ expressions: id (type: int)
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ keys: _col0 (type: int)
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Dynamic Partitioning Event Operator
+ Target Input: agg
+ Partition key expr: dim_shops_id
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Target column: dim_shops_id
+ Target Vertex: Map 1
+ Execution mode: llap
+ Reducer 2
+ Execution mode: llap
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0), sum(VALUE._col1)
+ keys: KEY._col0 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ sort order: +
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: bigint), _col2 (type: decimal(20,0))
+ Reducer 3
+ Execution mode: uber
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: decimal(20,0))
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 3 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+PREHOOK: type: QUERY
+PREHOOK: Input: default@agg_01
+PREHOOK: Input: default@agg_01@dim_shops_id=1
+PREHOOK: Input: default@agg_01@dim_shops_id=2
+PREHOOK: Input: default@agg_01@dim_shops_id=3
+PREHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT d1.label, count(*), sum(agg.amount)
+FROM agg_01 agg,
+dim_shops d1
+WHERE agg.dim_shops_id = d1.id
+and
+d1.label in ('foo', 'bar')
+GROUP BY d1.label
+ORDER BY d1.label
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@agg_01
+POSTHOOK: Input: default@agg_01@dim_shops_id=1
+POSTHOOK: Input: default@agg_01@dim_shops_id=2
+POSTHOOK: Input: default@agg_01@dim_shops_id=3
+POSTHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+bar 3 15
+foo 3 6
+PREHOOK: query: EXPLAIN
+SELECT amount FROM agg_01, dim_shops WHERE dim_shops_id = id AND label = 'foo'
+UNION ALL
+SELECT amount FROM agg_01, dim_shops WHERE dim_shops_id = id AND label = 'bar'
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN
+SELECT amount FROM agg_01, dim_shops WHERE dim_shops_id = id AND label = 'foo'
+UNION ALL
+SELECT amount FROM agg_01, dim_shops WHERE dim_shops_id = id AND label = 'bar'
+POSTHOOK: type: QUERY
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+ Edges:
+ Map 1 <- Map 3 (BROADCAST_EDGE), Union 2 (CONTAINS)
+ Map 4 <- Map 5 (BROADCAST_EDGE), Union 2 (CONTAINS)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: agg_01
+ filterExpr: dim_shops_id is not null (type: boolean)
+ Statistics: Num rows: 9 Data size: 27 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 dim_shops_id (type: int)
+ 1 id (type: int)
+ outputColumnNames: _col0, _col1, _col5
+ input vertices:
+ 1 Map 3
+ Statistics: Num rows: 9 Data size: 29 Basic stats: COMPLETE Column stats: NONE
+ HybridGraceHashJoin: true
+ Filter Operator
+ predicate: (_col1 = _col5) (type: boolean)
+ Statistics: Num rows: 4 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: decimal(10,0))
+ outputColumnNames: _col0
+ Statistics: Num rows: 4 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 8 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ Execution mode: llap
+ Map 3
+ Map Operator Tree:
+ TableScan
+ alias: dim_shops
+ filterExpr: (id is not null and (label = 'foo')) (type: boolean)
+ Statistics: Num rows: 3 Data size: 15 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (id is not null and (label = 'foo')) (type: boolean)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: id (type: int)
+ sort order: +
+ Map-reduce partition columns: id (type: int)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: id (type: int)
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ keys: _col0 (type: int)
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Dynamic Partitioning Event Operator
+ Target Input: agg_01
+ Partition key expr: dim_shops_id
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Target column: dim_shops_id
+ Target Vertex: Map 1
+ Execution mode: llap
+ Map 4
+ Map Operator Tree:
+ TableScan
+ alias: agg_01
+ filterExpr: dim_shops_id is not null (type: boolean)
+ Statistics: Num rows: 9 Data size: 27 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 dim_shops_id (type: int)
+ 1 id (type: int)
+ outputColumnNames: _col0, _col1, _col5
+ input vertices:
+ 1 Map 5
+ Statistics: Num rows: 9 Data size: 29 Basic stats: COMPLETE Column stats: NONE
+ HybridGraceHashJoin: true
+ Filter Operator
+ predicate: (_col1 = _col5) (type: boolean)
+ Statistics: Num rows: 4 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: decimal(10,0))
+ outputColumnNames: _col0
+ Statistics: Num rows: 4 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 8 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ Execution mode: llap
+ Map 5
+ Map Operator Tree:
+ TableScan
+ alias: dim_shops
+ filterExpr: (id is not null and (label = 'bar')) (type: boolean)
+ Statistics: Num rows: 3 Data size: 15 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (id is not null and (label = 'bar')) (type: boolean)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: id (type: int)
+ sort order: +
+ Map-reduce partition columns: id (type: int)
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: id (type: int)
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ keys: _col0 (type: int)
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Dynamic Partitioning Event Operator
+ Target Input: agg_01
+ Partition key expr: dim_shops_id
+ Statistics: Num rows: 1 Data size: 5 Basic stats: COMPLETE Column stats: NONE
+ Target column: dim_shops_id
+ Target Vertex: Map 4
+ Execution mode: llap
+ Union 2
+ Vertex: Union 2
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT amount FROM agg_01, dim_shops WHERE dim_shops_id = id AND label = 'foo'
+UNION ALL
+SELECT amount FROM agg_01, dim_shops WHERE dim_shops_id = id AND label = 'bar'
+PREHOOK: type: QUERY
+PREHOOK: Input: default@agg_01
+PREHOOK: Input: default@agg_01@dim_shops_id=1
+PREHOOK: Input: default@agg_01@dim_shops_id=2
+PREHOOK: Input: default@agg_01@dim_shops_id=3
+PREHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT amount FROM agg_01, dim_shops WHERE dim_shops_id = id AND label = 'foo'
+UNION ALL
+SELECT amount FROM agg_01, dim_shops WHERE dim_shops_id = id AND label = 'bar'
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@agg_01
+POSTHOOK: Input: default@agg_01@dim_shops_id=1
+POSTHOOK: Input: default@agg_01@dim_shops_id=2
+POSTHOOK: Input: default@agg_01@dim_shops_id=3
+POSTHOOK: Input: default@dim_shops
+#### A masked pattern was here ####
+1
+2
+3
+4
+5
+6
+PREHOOK: query: -- Dynamic partition pruning will be removed as data size exceeds the limit;
+-- and for self join on partitioning column, it should not fail (HIVE-10559).
+explain
+select count(*)
+from srcpart s1,
+ srcpart s2
+where s1.ds = s2.ds
+PREHOOK: type: QUERY
+POSTHOOK: query: -- Dynamic partition pruning will be removed as data size exceeds the limit;
+-- and for self join on partitioning column, it should not fail (HIVE-10559).
+explain
+select count(*)
+from srcpart s1,
+ srcpart s2
+where s1.ds = s2.ds
+POSTHOOK: type: QUERY
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+ Edges:
+ Map 1 <- Map 3 (BROADCAST_EDGE)
+ Reducer 2 <- Map 1 (SIMPLE_EDGE)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: s1
+ filterExpr: ds is not null (type: boolean)
+ Statistics: Num rows: 2000 Data size: 21248 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ds (type: string)
+ outputColumnNames: _col0
+ Statistics: Num rows: 2000 Data size: 21248 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col0 (type: string)
+ 1 _col0 (type: string)
+ input vertices:
+ 1 Map 3
+ Statistics: Num rows: 2200 Data size: 23372 Basic stats: COMPLETE Column stats: NONE
+ HybridGraceHashJoin: 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
+ value expressions: _col0 (type: bigint)
+ Execution mode: llap
+ Map 3
+ Map Operator Tree:
+ TableScan
+ alias: s1
+ filterExpr: ds is not null (type: boolean)
+ Statistics: Num rows: 2000 Data size: 21248 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ds (type: string)
+ outputColumnNames: _col0
+ Statistics: Num rows: 2000 Data size: 21248 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 2000 Data size: 21248 Basic stats: COMPLETE Column stats: NONE
+ Execution mode: llap
+ Reducer 2
+ Execution mode: uber
+ 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
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select count(*)
+from srcpart s1,
+ srcpart s2
+where s1.ds = s2.ds
+PREHOOK: type: QUERY
+PREHOOK: Input: default@srcpart
+PREHOOK: Input: default@srcpart@ds=2008-04-08/hr=11
+PREHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
+PREHOOK: Input: default@srcpart@ds=2008-04-09/hr=11
+PREHOOK: Input: default@srcpart@ds=2008-04-09/hr=12
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*)
+from srcpart s1,
+ srcpart s2
+where s1.ds = s2.ds
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@srcpart
+POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=11
+POSTHOOK: Input: default@srcpart@ds=2008-04-08/hr=12
+POSTHOOK: Input: default@srcpart@ds=2008-04-09/hr=11
+POSTHOOK: Input: default@srcpart@ds=2008-04-09/hr=12
+#### A masked pattern was here ####
+2000000