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Posted to commits@hive.apache.org by se...@apache.org on 2018/10/26 21:12:18 UTC
[68/75] [abbrv] hive git commit: HIVE-20788: Extended SJ reduction
may backtrack columns incorrectly when creating filters (Jesus Camacho
Rodriguez, reviewed by Deepak Jaiswal)
HIVE-20788: Extended SJ reduction may backtrack columns incorrectly when creating filters (Jesus Camacho Rodriguez, reviewed by Deepak Jaiswal)
Project: http://git-wip-us.apache.org/repos/asf/hive/repo
Commit: http://git-wip-us.apache.org/repos/asf/hive/commit/3cbc13e9
Tree: http://git-wip-us.apache.org/repos/asf/hive/tree/3cbc13e9
Diff: http://git-wip-us.apache.org/repos/asf/hive/diff/3cbc13e9
Branch: refs/heads/master-tez092
Commit: 3cbc13e92b9c22fabf9eac72eaec9352eb9b43d2
Parents: 94d4991
Author: Jesus Camacho Rodriguez <jc...@apache.org>
Authored: Mon Oct 22 18:30:18 2018 -0700
Committer: Jesus Camacho Rodriguez <jc...@apache.org>
Committed: Wed Oct 24 16:11:48 2018 -0700
----------------------------------------------------------------------
.../hive/ql/ppd/SyntheticJoinPredicate.java | 17 +-
.../queries/clientpositive/perf/cbo_query24.q | 3 +-
.../test/queries/clientpositive/perf/query24.q | 3 +-
.../clientpositive/perf/spark/query24.q.out | 400 ++++++++---------
.../clientpositive/perf/tez/cbo_query23.q.out | 8 +-
.../clientpositive/perf/tez/cbo_query24.q.out | 103 ++---
.../perf/tez/constraints/cbo_query24.q.out | 101 ++---
.../perf/tez/constraints/cbo_query6.q.out | 2 +-
.../perf/tez/constraints/query18.q.out | 108 ++---
.../perf/tez/constraints/query24.q.out | 436 ++++++++++---------
.../perf/tez/constraints/query33.q.out | 202 ++++-----
.../perf/tez/constraints/query56.q.out | 236 +++++-----
.../perf/tez/constraints/query6.q.out | 132 +++---
.../perf/tez/constraints/query60.q.out | 242 +++++-----
.../perf/tez/constraints/query95.q.out | 128 +++---
.../clientpositive/perf/tez/query18.q.out | 112 ++---
.../clientpositive/perf/tez/query23.q.out | 340 +++++++--------
.../clientpositive/perf/tez/query24.q.out | 436 ++++++++++---------
.../clientpositive/perf/tez/query59.q.out | 74 ++--
.../clientpositive/perf/tez/query95.q.out | 180 ++++----
20 files changed, 1664 insertions(+), 1599 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/java/org/apache/hadoop/hive/ql/ppd/SyntheticJoinPredicate.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/ppd/SyntheticJoinPredicate.java b/ql/src/java/org/apache/hadoop/hive/ql/ppd/SyntheticJoinPredicate.java
index 1f533bc..e97e447 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/ppd/SyntheticJoinPredicate.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/ppd/SyntheticJoinPredicate.java
@@ -308,7 +308,22 @@ public class SyntheticJoinPredicate extends Transform {
CommonJoinOperator<JoinDesc> joinOp = (CommonJoinOperator) currentOp;
// 2. Backtrack expression to join output
- final ExprNodeDesc joinExprNode = ExprNodeDescUtils.backtrack(currentNode, op, joinOp);
+ ExprNodeDesc expr = currentNode;
+ if (currentOp != op) {
+ if (expr instanceof ExprNodeColumnDesc) {
+ // Expression refers to output of current operator, but backtrack methods works
+ // from the input columns, hence we need to make resolution for current operator
+ // here. If the operator was already the join, there is nothing to do
+ if (op.getColumnExprMap() != null) {
+ expr = op.getColumnExprMap().get(((ExprNodeColumnDesc) expr).getColumn());
+ }
+ } else {
+ // TODO: We can extend to other expression types
+ // We are done
+ return true;
+ }
+ }
+ final ExprNodeDesc joinExprNode = ExprNodeDescUtils.backtrack(expr, op, joinOp);
if (joinExprNode == null || !(joinExprNode instanceof ExprNodeColumnDesc)) {
// TODO: We can extend to other expression types
// We are done
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/queries/clientpositive/perf/cbo_query24.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/cbo_query24.q b/ql/src/test/queries/clientpositive/perf/cbo_query24.q
index 02bcbaf..8994de7 100644
--- a/ql/src/test/queries/clientpositive/perf/cbo_query24.q
+++ b/ql/src/test/queries/clientpositive/perf/cbo_query24.q
@@ -24,7 +24,8 @@ where ss_ticket_number = sr_ticket_number
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
- and c_birth_country = upper(ca_country)
+ and c_current_addr_sk = ca_address_sk
+ and c_birth_country <> upper(ca_country)
and s_zip = ca_zip
and s_market_id=7
group by c_last_name
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/queries/clientpositive/perf/query24.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query24.q b/ql/src/test/queries/clientpositive/perf/query24.q
index 007d7ee..b3cdaef 100644
--- a/ql/src/test/queries/clientpositive/perf/query24.q
+++ b/ql/src/test/queries/clientpositive/perf/query24.q
@@ -24,7 +24,8 @@ where ss_ticket_number = sr_ticket_number
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
- and c_birth_country = upper(ca_country)
+ and c_current_addr_sk = ca_address_sk
+ and c_birth_country <> upper(ca_country)
and s_zip = ca_zip
and s_market_id=7
group by c_last_name
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/spark/query24.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query24.q.out b/ql/src/test/results/clientpositive/perf/spark/query24.q.out
index 4e2e8e7..91fe702 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query24.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query24.q.out
@@ -1,4 +1,4 @@
-Warning: Map Join MAPJOIN[104][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
+Warning: Map Join MAPJOIN[107][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
PREHOOK: query: explain
with ssales as
(select c_last_name
@@ -23,7 +23,8 @@ where ss_ticket_number = sr_ticket_number
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
- and c_birth_country = upper(ca_country)
+ and c_current_addr_sk = ca_address_sk
+ and c_birth_country <> upper(ca_country)
and s_zip = ca_zip
and s_market_id=7
group by c_last_name
@@ -79,7 +80,8 @@ where ss_ticket_number = sr_ticket_number
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
- and c_birth_country = upper(ca_country)
+ and c_current_addr_sk = ca_address_sk
+ and c_birth_country <> upper(ca_country)
and s_zip = ca_zip
and s_market_id=7
group by c_last_name
@@ -138,8 +140,8 @@ STAGE PLANS:
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
keys:
- 0 _col2 (type: int)
- 1 _col0 (type: int)
+ 0 _col2 (type: string)
+ 1 _col4 (type: string)
Execution mode: vectorized
Local Work:
Map Reduce Local Work
@@ -147,43 +149,43 @@ STAGE PLANS:
Stage: Stage-2
Spark
Edges:
- Reducer 13 <- Map 12 (PARTITION-LEVEL SORT, 975), Map 20 (PARTITION-LEVEL SORT, 975)
- Reducer 14 <- Map 21 (PARTITION-LEVEL SORT, 486), Reducer 13 (PARTITION-LEVEL SORT, 486)
- Reducer 15 <- Map 22 (PARTITION-LEVEL SORT, 564), Reducer 14 (PARTITION-LEVEL SORT, 564)
- Reducer 16 <- Map 23 (PARTITION-LEVEL SORT, 899), Reducer 15 (PARTITION-LEVEL SORT, 899)
- Reducer 17 <- Reducer 16 (GROUP, 640)
+ Reducer 13 <- Map 12 (PARTITION-LEVEL SORT, 887), Map 20 (PARTITION-LEVEL SORT, 887)
+ Reducer 14 <- Map 21 (PARTITION-LEVEL SORT, 989), Reducer 13 (PARTITION-LEVEL SORT, 989)
+ Reducer 15 <- Map 22 (PARTITION-LEVEL SORT, 442), Reducer 14 (PARTITION-LEVEL SORT, 442)
+ Reducer 16 <- Map 23 (PARTITION-LEVEL SORT, 516), Reducer 15 (PARTITION-LEVEL SORT, 516)
+ Reducer 17 <- Reducer 16 (GROUP, 529)
Reducer 18 <- Reducer 17 (GROUP, 1)
#### A masked pattern was here ####
Vertices:
Map 12
Map Operator Tree:
TableScan
- alias: store_sales
- filterExpr: (ss_ticket_number is not null and ss_item_sk is not null and ss_store_sk is not null and ss_customer_sk is not null) (type: boolean)
- Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ alias: customer_address
+ filterExpr: (ca_address_sk is not null and ca_zip is not null) (type: boolean)
+ Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) (type: boolean)
- Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ predicate: (ca_address_sk is not null and ca_zip is not null) (type: boolean)
+ Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int), ss_sales_price (type: decimal(7,2))
- outputColumnNames: _col0, _col1, _col2, _col3, _col4
- Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ expressions: ca_address_sk (type: int), ca_state (type: string), ca_zip (type: string), ca_country (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 _col2 (type: int)
- 1 _col0 (type: int)
- outputColumnNames: _col0, _col1, _col3, _col4, _col6, _col8, _col9
+ 0 _col2 (type: string)
+ 1 _col4 (type: string)
+ outputColumnNames: _col0, _col1, _col3, _col4, _col5, _col7
input vertices:
1 Map 19
- Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 44000000 Data size: 44654715780 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
- key expressions: _col1 (type: int)
+ key expressions: _col0 (type: int)
sort order: +
- Map-reduce partition columns: _col1 (type: int)
- Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col0 (type: int), _col3 (type: int), _col4 (type: decimal(7,2)), _col6 (type: string), _col8 (type: string), _col9 (type: string)
+ Map-reduce partition columns: _col0 (type: int)
+ Statistics: Num rows: 44000000 Data size: 44654715780 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: string), _col7 (type: string)
Execution mode: vectorized
Local Work:
Map Reduce Local Work
@@ -191,25 +193,45 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: customer
- filterExpr: (c_customer_sk is not null and c_birth_country is not null) (type: boolean)
+ filterExpr: (c_customer_sk is not null and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: (c_birth_country is not null and c_customer_sk is not null) (type: boolean)
+ predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: c_customer_sk (type: int), c_first_name (type: string), c_last_name (type: string), c_birth_country (type: string)
- outputColumnNames: _col0, _col1, _col2, _col3
+ expressions: c_customer_sk (type: int), c_current_addr_sk (type: int), c_first_name (type: string), c_last_name (type: string), c_birth_country (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
- key expressions: _col0 (type: int)
+ key expressions: _col1 (type: int)
sort order: +
- Map-reduce partition columns: _col0 (type: int)
+ Map-reduce partition columns: _col1 (type: int)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string)
+ value expressions: _col0 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string)
Execution mode: vectorized
Map 21
Map Operator Tree:
TableScan
+ alias: store_sales
+ filterExpr: (ss_ticket_number is not null and ss_item_sk is not null and ss_store_sk is not null and ss_customer_sk is not null) (type: boolean)
+ Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) (type: boolean)
+ Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int), ss_sales_price (type: decimal(7,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col1 (type: int), _col2 (type: int)
+ sort order: ++
+ Map-reduce partition columns: _col1 (type: int), _col2 (type: int)
+ Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
+ Execution mode: vectorized
+ Map 22
+ Map Operator Tree:
+ TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
@@ -227,7 +249,7 @@ STAGE PLANS:
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(7,2)), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int)
Execution mode: vectorized
- Map 22
+ Map 23
Map Operator Tree:
TableScan
alias: store_returns
@@ -246,109 +268,92 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
- Map 23
- Map Operator Tree:
- TableScan
- alias: customer_address
- filterExpr: (upper(ca_country) is not null and ca_zip is not null) (type: boolean)
- Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
- Filter Operator
- predicate: (ca_zip is not null and upper(ca_country) is not null) (type: boolean)
- Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: ca_state (type: string), ca_zip (type: string), ca_country (type: string)
- outputColumnNames: _col0, _col1, _col2
- Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
- Reduce Output Operator
- key expressions: _col1 (type: string), upper(_col2) (type: string)
- sort order: ++
- Map-reduce partition columns: _col1 (type: string), upper(_col2) (type: string)
- Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col0 (type: string)
- Execution mode: vectorized
Reducer 13
Reduce Operator Tree:
Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 _col1 (type: int)
- 1 _col0 (type: int)
- outputColumnNames: _col0, _col3, _col4, _col6, _col8, _col9, _col11, _col12, _col13
- Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
- Reduce Output Operator
- key expressions: _col0 (type: int)
- sort order: +
- Map-reduce partition columns: _col0 (type: int)
- Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col3 (type: int), _col4 (type: decimal(7,2)), _col6 (type: string), _col8 (type: string), _col9 (type: string), _col11 (type: string), _col12 (type: string), _col13 (type: string)
+ 0 _col0 (type: int)
+ 1 _col1 (type: int)
+ outputColumnNames: _col1, _col3, _col4, _col5, _col7, _col9, _col11, _col12, _col13
+ Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (_col13 <> upper(_col3)) (type: boolean)
+ Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col9 (type: int), _col4 (type: int)
+ sort order: ++
+ Map-reduce partition columns: _col9 (type: int), _col4 (type: int)
+ Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: string), _col5 (type: string), _col7 (type: string), _col11 (type: string), _col12 (type: string)
Reducer 14
Reduce Operator Tree:
Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 _col0 (type: int)
- 1 _col0 (type: int)
- outputColumnNames: _col0, _col3, _col4, _col6, _col8, _col9, _col11, _col12, _col13, _col15, _col16, _col17, _col18, _col19
- Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
+ 0 _col9 (type: int), _col4 (type: int)
+ 1 _col1 (type: int), _col2 (type: int)
+ outputColumnNames: _col1, _col5, _col7, _col11, _col12, _col14, _col17, _col18
+ Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
- key expressions: _col0 (type: int), _col3 (type: int)
- sort order: ++
- Map-reduce partition columns: _col0 (type: int), _col3 (type: int)
- Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col4 (type: decimal(7,2)), _col6 (type: string), _col8 (type: string), _col9 (type: string), _col11 (type: string), _col12 (type: string), _col13 (type: string), _col15 (type: decimal(7,2)), _col16 (type: string), _col17 (type: string), _col18 (type: string), _col19 (type: int)
+ key expressions: _col14 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col14 (type: int)
+ Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: string), _col5 (type: string), _col7 (type: string), _col11 (type: string), _col12 (type: string), _col17 (type: int), _col18 (type: decimal(7,2))
Reducer 15
Reduce Operator Tree:
Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 _col0 (type: int), _col3 (type: int)
- 1 _col0 (type: int), _col1 (type: int)
- outputColumnNames: _col4, _col6, _col8, _col9, _col11, _col12, _col13, _col15, _col16, _col17, _col18, _col19
- Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE
+ 0 _col14 (type: int)
+ 1 _col0 (type: int)
+ outputColumnNames: _col1, _col5, _col7, _col11, _col12, _col14, _col17, _col18, _col20, _col21, _col22, _col23, _col24
+ Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
- key expressions: _col9 (type: string), _col13 (type: string)
+ key expressions: _col14 (type: int), _col17 (type: int)
sort order: ++
- Map-reduce partition columns: _col9 (type: string), _col13 (type: string)
- Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col4 (type: decimal(7,2)), _col6 (type: string), _col8 (type: string), _col11 (type: string), _col12 (type: string), _col15 (type: decimal(7,2)), _col16 (type: string), _col17 (type: string), _col18 (type: string), _col19 (type: int)
+ Map-reduce partition columns: _col14 (type: int), _col17 (type: int)
+ Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: string), _col5 (type: string), _col7 (type: string), _col11 (type: string), _col12 (type: string), _col18 (type: decimal(7,2)), _col20 (type: decimal(7,2)), _col21 (type: string), _col22 (type: string), _col23 (type: string), _col24 (type: int)
Reducer 16
Reduce Operator Tree:
Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 _col9 (type: string), _col13 (type: string)
- 1 _col1 (type: string), upper(_col2) (type: string)
- outputColumnNames: _col4, _col6, _col8, _col11, _col12, _col15, _col16, _col17, _col18, _col19, _col22
- Statistics: Num rows: 927646829 Data size: 81837272625 Basic stats: COMPLETE Column stats: NONE
+ 0 _col14 (type: int), _col17 (type: int)
+ 1 _col0 (type: int), _col1 (type: int)
+ outputColumnNames: _col1, _col5, _col7, _col11, _col12, _col18, _col20, _col21, _col22, _col23, _col24
+ Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
Group By Operator
- aggregations: sum(_col4)
- keys: _col11 (type: string), _col12 (type: string), _col6 (type: string), _col8 (type: string), _col15 (type: decimal(7,2)), _col16 (type: string), _col17 (type: string), _col18 (type: string), _col19 (type: int), _col22 (type: string)
+ aggregations: sum(_col18)
+ keys: _col11 (type: string), _col12 (type: string), _col1 (type: string), _col5 (type: string), _col7 (type: string), _col20 (type: decimal(7,2)), _col21 (type: string), _col22 (type: string), _col23 (type: string), _col24 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
- Statistics: Num rows: 927646829 Data size: 81837272625 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
- key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: decimal(7,2)), _col5 (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: int), _col9 (type: string)
+ key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: decimal(7,2)), _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: int)
sort order: ++++++++++
- Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: decimal(7,2)), _col5 (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: int), _col9 (type: string)
- Statistics: Num rows: 927646829 Data size: 81837272625 Basic stats: COMPLETE Column stats: NONE
+ Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: decimal(7,2)), _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: int)
+ Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
value expressions: _col10 (type: decimal(17,2))
Reducer 17
Execution mode: vectorized
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
- keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: decimal(7,2)), KEY._col5 (type: string), KEY._col6 (type: string), KEY._col7 (type: string), KEY._col8 (type: int), KEY._col9 (type: string)
+ keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: decimal(7,2)), KEY._col6 (type: string), KEY._col7 (type: string), KEY._col8 (type: string), KEY._col9 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
- Statistics: Num rows: 463823414 Data size: 40918636268 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col10 (type: decimal(17,2))
outputColumnNames: _col10
- Statistics: Num rows: 463823414 Data size: 40918636268 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col10), count(_col10)
mode: hash
@@ -381,7 +386,7 @@ STAGE PLANS:
Spark
#### A masked pattern was here ####
Vertices:
- Map 8
+ Map 9
Map Operator Tree:
TableScan
alias: store
@@ -396,8 +401,8 @@ STAGE PLANS:
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
keys:
- 0 _col2 (type: int)
- 1 _col0 (type: int)
+ 0 _col2 (type: string)
+ 1 _col4 (type: string)
Execution mode: vectorized
Local Work:
Map Reduce Local Work
@@ -405,11 +410,11 @@ STAGE PLANS:
Stage: Stage-1
Spark
Edges:
- Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 400), Map 7 (PARTITION-LEVEL SORT, 400)
- Reducer 3 <- Map 9 (PARTITION-LEVEL SORT, 1009), Reducer 2 (PARTITION-LEVEL SORT, 1009)
- Reducer 4 <- Map 10 (PARTITION-LEVEL SORT, 564), Reducer 3 (PARTITION-LEVEL SORT, 564)
- Reducer 5 <- Map 11 (PARTITION-LEVEL SORT, 899), Reducer 4 (PARTITION-LEVEL SORT, 899)
- Reducer 6 <- Reducer 5 (GROUP PARTITION-LEVEL SORT, 640)
+ Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 400), Map 6 (PARTITION-LEVEL SORT, 400)
+ Reducer 3 <- Reducer 2 (PARTITION-LEVEL SORT, 1009), Reducer 8 (PARTITION-LEVEL SORT, 1009)
+ Reducer 4 <- Map 11 (PARTITION-LEVEL SORT, 516), Reducer 3 (PARTITION-LEVEL SORT, 516)
+ Reducer 5 <- Reducer 4 (GROUP PARTITION-LEVEL SORT, 529)
+ Reducer 8 <- Map 10 (PARTITION-LEVEL SORT, 887), Map 7 (PARTITION-LEVEL SORT, 887)
#### A masked pattern was here ####
Vertices:
Map 1
@@ -435,6 +440,26 @@ STAGE PLANS:
Map 10
Map Operator Tree:
TableScan
+ alias: customer
+ filterExpr: (c_customer_sk is not null and c_current_addr_sk is not null) (type: boolean)
+ Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
+ Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: c_customer_sk (type: int), c_current_addr_sk (type: int), c_first_name (type: string), c_last_name (type: string), c_birth_country (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col1 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col1 (type: int)
+ Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string)
+ Execution mode: vectorized
+ Map 11
+ Map Operator Tree:
+ TableScan
alias: store_returns
filterExpr: (sr_ticket_number is not null and sr_item_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
@@ -451,27 +476,7 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
- Map 11
- Map Operator Tree:
- TableScan
- alias: customer_address
- filterExpr: (upper(ca_country) is not null and ca_zip is not null) (type: boolean)
- Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
- Filter Operator
- predicate: (ca_zip is not null and upper(ca_country) is not null) (type: boolean)
- Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: ca_state (type: string), ca_zip (type: string), ca_country (type: string)
- outputColumnNames: _col0, _col1, _col2
- Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
- Reduce Output Operator
- key expressions: _col1 (type: string), upper(_col2) (type: string)
- sort order: ++
- Map-reduce partition columns: _col1 (type: string), upper(_col2) (type: string)
- Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col0 (type: string)
- Execution mode: vectorized
- Map 7
+ Map 6
Map Operator Tree:
TableScan
alias: item
@@ -491,29 +496,39 @@ STAGE PLANS:
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(7,2)), _col2 (type: string), _col4 (type: string), _col5 (type: int)
Execution mode: vectorized
- Map 9
+ Map 7
Map Operator Tree:
TableScan
- alias: customer
- filterExpr: (c_customer_sk is not null and c_birth_country is not null) (type: boolean)
- Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ alias: customer_address
+ filterExpr: (ca_address_sk is not null and ca_zip is not null) (type: boolean)
+ Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Filter Operator
- predicate: (c_birth_country is not null and c_customer_sk is not null) (type: boolean)
- Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ predicate: (ca_address_sk is not null and ca_zip is not null) (type: boolean)
+ Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: c_customer_sk (type: int), c_first_name (type: string), c_last_name (type: string), c_birth_country (type: string)
+ expressions: ca_address_sk (type: int), ca_state (type: string), ca_zip (type: string), ca_country (type: string)
outputColumnNames: _col0, _col1, _col2, _col3
- Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
- Reduce Output Operator
- key expressions: _col0 (type: int)
- sort order: +
- Map-reduce partition columns: _col0 (type: int)
- Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string)
+ Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col2 (type: string)
+ 1 _col4 (type: string)
+ outputColumnNames: _col0, _col1, _col3, _col4, _col5, _col7
+ input vertices:
+ 1 Map 9
+ Statistics: Num rows: 44000000 Data size: 44654715780 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: int)
+ Statistics: Num rows: 44000000 Data size: 44654715780 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: string), _col7 (type: string)
Execution mode: vectorized
- Reducer 2
Local Work:
Map Reduce Local Work
+ Reducer 2
Reduce Operator Tree:
Join Operator
condition map:
@@ -523,38 +538,28 @@ STAGE PLANS:
1 _col0 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col6, _col7, _col9, _col10
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
- Map Join Operator
- condition map:
- Inner Join 0 to 1
- keys:
- 0 _col2 (type: int)
- 1 _col0 (type: int)
- outputColumnNames: _col0, _col1, _col3, _col4, _col6, _col7, _col9, _col10, _col12, _col14, _col15
- input vertices:
- 1 Map 8
- Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
- Reduce Output Operator
- key expressions: _col1 (type: int)
- sort order: +
- Map-reduce partition columns: _col1 (type: int)
- Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col0 (type: int), _col3 (type: int), _col4 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: string), _col9 (type: string), _col10 (type: int), _col12 (type: string), _col14 (type: string), _col15 (type: string)
+ Reduce Output Operator
+ key expressions: _col1 (type: int), _col2 (type: int)
+ sort order: ++
+ Map-reduce partition columns: _col1 (type: int), _col2 (type: int)
+ Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col3 (type: int), _col4 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: string), _col9 (type: string), _col10 (type: int)
Reducer 3
Reduce Operator Tree:
Join Operator
condition map:
Inner Join 0 to 1
keys:
- 0 _col1 (type: int)
- 1 _col0 (type: int)
- outputColumnNames: _col0, _col3, _col4, _col6, _col7, _col9, _col10, _col12, _col14, _col15, _col17, _col18, _col19
- Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
+ 0 _col1 (type: int), _col2 (type: int)
+ 1 _col0 (type: int), _col9 (type: int)
+ outputColumnNames: _col0, _col3, _col4, _col6, _col7, _col9, _col10, _col13, _col14, _col17, _col21, _col23
+ Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col3 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col3 (type: int)
- Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col4 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: string), _col9 (type: string), _col10 (type: int), _col12 (type: string), _col14 (type: string), _col15 (type: string), _col17 (type: string), _col18 (type: string), _col19 (type: string)
+ Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col4 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: string), _col9 (type: string), _col10 (type: int), _col13 (type: string), _col14 (type: string), _col17 (type: string), _col21 (type: string), _col23 (type: string)
Reducer 4
Reduce Operator Tree:
Join Operator
@@ -563,61 +568,45 @@ STAGE PLANS:
keys:
0 _col0 (type: int), _col3 (type: int)
1 _col0 (type: int), _col1 (type: int)
- outputColumnNames: _col4, _col6, _col7, _col9, _col10, _col12, _col14, _col15, _col17, _col18, _col19
- Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE
- Reduce Output Operator
- key expressions: _col15 (type: string), _col19 (type: string)
- sort order: ++
- Map-reduce partition columns: _col15 (type: string), _col19 (type: string)
- Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col4 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: string), _col9 (type: string), _col10 (type: int), _col12 (type: string), _col14 (type: string), _col17 (type: string), _col18 (type: string)
- Reducer 5
- Reduce Operator Tree:
- Join Operator
- condition map:
- Inner Join 0 to 1
- keys:
- 0 _col15 (type: string), _col19 (type: string)
- 1 _col1 (type: string), upper(_col2) (type: string)
- outputColumnNames: _col4, _col6, _col7, _col9, _col10, _col12, _col14, _col17, _col18, _col22
- Statistics: Num rows: 927646829 Data size: 81837272625 Basic stats: COMPLETE Column stats: NONE
+ outputColumnNames: _col4, _col6, _col7, _col9, _col10, _col13, _col14, _col17, _col21, _col23
+ Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col4)
- keys: _col17 (type: string), _col18 (type: string), _col12 (type: string), _col22 (type: string), _col6 (type: decimal(7,2)), _col7 (type: string), _col9 (type: string), _col10 (type: int), _col14 (type: string)
+ keys: _col13 (type: string), _col14 (type: string), _col21 (type: string), _col6 (type: decimal(7,2)), _col7 (type: string), _col9 (type: string), _col10 (type: int), _col17 (type: string), _col23 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
- Statistics: Num rows: 927646829 Data size: 81837272625 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
- key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: decimal(7,2)), _col5 (type: string), _col6 (type: string), _col7 (type: int), _col8 (type: string)
+ key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: decimal(7,2)), _col4 (type: string), _col5 (type: string), _col6 (type: int), _col7 (type: string), _col8 (type: string)
sort order: +++++++++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string)
- Statistics: Num rows: 927646829 Data size: 81837272625 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
value expressions: _col9 (type: decimal(17,2))
- Reducer 6
+ Reducer 5
Execution mode: vectorized
Local Work:
Map Reduce Local Work
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
- keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: decimal(7,2)), KEY._col5 (type: string), KEY._col6 (type: string), KEY._col7 (type: int), KEY._col8 (type: string)
+ keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: decimal(7,2)), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: int), KEY._col7 (type: string), KEY._col8 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
- Statistics: Num rows: 463823414 Data size: 40918636268 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col9 (type: decimal(17,2))
- outputColumnNames: _col1, _col2, _col7, _col9
- Statistics: Num rows: 463823414 Data size: 40918636268 Basic stats: COMPLETE Column stats: NONE
+ outputColumnNames: _col4, _col5, _col7, _col9
+ Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col9)
- keys: _col1 (type: string), _col2 (type: string), _col7 (type: string)
+ keys: _col4 (type: string), _col5 (type: string), _col7 (type: string)
mode: complete
outputColumnNames: _col0, _col1, _col2, _col3
- Statistics: Num rows: 231911707 Data size: 20459318134 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 191662559 Data size: 16908526602 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col1 (type: string), _col0 (type: string), _col2 (type: string), _col3 (type: decimal(27,2))
outputColumnNames: _col0, _col1, _col2, _col3
- Statistics: Num rows: 231911707 Data size: 20459318134 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 191662559 Data size: 16908526602 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
Inner Join 0 to 1
@@ -627,21 +616,44 @@ STAGE PLANS:
outputColumnNames: _col0, _col1, _col2, _col3, _col4
input vertices:
1 Reducer 18
- Statistics: Num rows: 231911707 Data size: 74494745865 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 191662559 Data size: 61565902849 Basic stats: COMPLETE Column stats: NONE
Filter Operator
predicate: (_col3 > _col4) (type: boolean)
- Statistics: Num rows: 77303902 Data size: 24831581847 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 63887519 Data size: 20521967402 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: decimal(27,2))
outputColumnNames: _col0, _col1, _col2, _col3
- Statistics: Num rows: 77303902 Data size: 24831581847 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 63887519 Data size: 20521967402 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
- Statistics: Num rows: 77303902 Data size: 24831581847 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 63887519 Data size: 20521967402 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ Reducer 8
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col0 (type: int)
+ 1 _col1 (type: int)
+ outputColumnNames: _col1, _col3, _col4, _col5, _col7, _col9, _col11, _col12, _col13
+ Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (_col13 <> upper(_col3)) (type: boolean)
+ Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col9 (type: int), _col11 (type: string), _col12 (type: string), _col1 (type: string), _col4 (type: int), _col5 (type: string), _col7 (type: string)
+ outputColumnNames: _col0, _col2, _col3, _col6, _col9, _col10, _col12
+ Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int), _col9 (type: int)
+ sort order: ++
+ Map-reduce partition columns: _col0 (type: int), _col9 (type: int)
+ Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col2 (type: string), _col3 (type: string), _col6 (type: string), _col10 (type: string), _col12 (type: string)
Stage: Stage-0
Fetch Operator
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/cbo_query23.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/cbo_query23.q.out b/ql/src/test/results/clientpositive/perf/tez/cbo_query23.q.out
index baf790e..ace7cf5 100644
--- a/ql/src/test/results/clientpositive/perf/tez/cbo_query23.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/cbo_query23.q.out
@@ -1,7 +1,7 @@
-Warning: Shuffle Join MERGEJOIN[589][tables = [$hdt$_1, $hdt$_2]] in Stage 'Reducer 29' is a cross product
-Warning: Shuffle Join MERGEJOIN[590][tables = [$hdt$_1, $hdt$_2, $hdt$_0]] in Stage 'Reducer 30' is a cross product
-Warning: Shuffle Join MERGEJOIN[592][tables = [$hdt$_1, $hdt$_2]] in Stage 'Reducer 33' is a cross product
-Warning: Shuffle Join MERGEJOIN[593][tables = [$hdt$_1, $hdt$_2, $hdt$_0]] in Stage 'Reducer 34' is a cross product
+Warning: Shuffle Join MERGEJOIN[593][tables = [$hdt$_1, $hdt$_2]] in Stage 'Reducer 29' is a cross product
+Warning: Shuffle Join MERGEJOIN[594][tables = [$hdt$_1, $hdt$_2, $hdt$_0]] in Stage 'Reducer 30' is a cross product
+Warning: Shuffle Join MERGEJOIN[596][tables = [$hdt$_1, $hdt$_2]] in Stage 'Reducer 33' is a cross product
+Warning: Shuffle Join MERGEJOIN[597][tables = [$hdt$_1, $hdt$_2, $hdt$_0]] in Stage 'Reducer 34' is a cross product
PREHOOK: query: explain cbo
with frequent_ss_items as
(select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/cbo_query24.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/cbo_query24.q.out b/ql/src/test/results/clientpositive/perf/tez/cbo_query24.q.out
index 53220d2..1d005b8 100644
--- a/ql/src/test/results/clientpositive/perf/tez/cbo_query24.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/cbo_query24.q.out
@@ -1,4 +1,4 @@
-Warning: Shuffle Join MERGEJOIN[290][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 8' is a cross product
+Warning: Shuffle Join MERGEJOIN[301][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 6' is a cross product
PREHOOK: query: explain cbo
with ssales as
(select c_last_name
@@ -23,7 +23,8 @@ where ss_ticket_number = sr_ticket_number
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
- and c_birth_country = upper(ca_country)
+ and c_current_addr_sk = ca_address_sk
+ and c_birth_country <> upper(ca_country)
and s_zip = ca_zip
and s_market_id=7
group by c_last_name
@@ -79,7 +80,8 @@ where ss_ticket_number = sr_ticket_number
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
- and c_birth_country = upper(ca_country)
+ and c_current_addr_sk = ca_address_sk
+ and c_birth_country <> upper(ca_country)
and s_zip = ca_zip
and s_market_id=7
group by c_last_name
@@ -115,57 +117,58 @@ CBO PLAN:
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3])
HiveJoin(condition=[>($3, $4)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(c_last_name=[$1], c_first_name=[$0], s_store_name=[$2], $f3=[$3])
- HiveAggregate(group=[{1, 2, 7}], agg#0=[sum($9)])
- HiveProject(ca_state=[$0], c_first_name=[$1], c_last_name=[$2], i_current_price=[$3], i_size=[$4], i_units=[$5], i_manager_id=[$6], s_store_name=[$7], s_state=[$8], $f9=[$9])
- HiveAggregate(group=[{0, 6, 7, 15, 16, 18, 19, 21, 23}], agg#0=[sum($13)])
- HiveJoin(condition=[AND(=($8, UPPER($2)), =($24, $1))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ca_state=[$8], ca_zip=[$9], ca_country=[$10])
- HiveFilter(condition=[AND(IS NOT NULL(UPPER($10)), IS NOT NULL($9))])
- HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
- HiveJoin(condition=[AND(=($9, $1), =($6, $0))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(sr_item_sk=[$2], sr_ticket_number=[$9])
- HiveFilter(condition=[AND(IS NOT NULL($9), IS NOT NULL($2))])
- HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
- HiveJoin(condition=[=($5, $0)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(c_customer_sk=[$0], c_first_name=[$8], c_last_name=[$9], c_birth_country=[$14])
- HiveFilter(condition=[AND(IS NOT NULL($0), IS NOT NULL($14))])
- HiveTableScan(table=[[default, customer]], table:alias=[customer])
- HiveJoin(condition=[=($2, $11)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveJoin(condition=[=($0, $5)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_item_sk=[$2], ss_customer_sk=[$3], ss_store_sk=[$7], ss_ticket_number=[$9], ss_sales_price=[$13])
- HiveFilter(condition=[AND(IS NOT NULL($9), IS NOT NULL($2), IS NOT NULL($7), IS NOT NULL($3))])
- HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(i_item_sk=[$0], i_current_price=[$5], i_size=[$15], i_color=[CAST(_UTF-16LE'orchid'):VARCHAR(2147483647) CHARACTER SET "UTF-16LE" COLLATE "ISO-8859-1$en_US$primary"], i_units=[$18], i_manager_id=[$20])
- HiveFilter(condition=[AND(=($17, _UTF-16LE'orchid'), IS NOT NULL($0))])
- HiveTableScan(table=[[default, item]], table:alias=[item])
- HiveProject(s_store_sk=[$0], s_store_name=[$5], s_market_id=[CAST(7):INTEGER], s_state=[$24], s_zip=[$25])
- HiveFilter(condition=[AND(=($10, 7), IS NOT NULL($0), IS NOT NULL($25))])
- HiveTableScan(table=[[default, store]], table:alias=[store])
+ HiveAggregate(group=[{4, 5, 7}], agg#0=[sum($9)])
+ HiveProject(i_current_price=[$0], i_size=[$1], i_units=[$2], i_manager_id=[$3], c_first_name=[$4], c_last_name=[$5], ca_state=[$6], s_store_name=[$7], s_state=[$8], $f9=[$9])
+ HiveAggregate(group=[{8, 9, 11, 12, 15, 16, 19, 23, 25}], agg#0=[sum($6)])
+ HiveJoin(condition=[AND(=($5, $1), =($2, $0))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(sr_item_sk=[$2], sr_ticket_number=[$9])
+ HiveFilter(condition=[AND(IS NOT NULL($9), IS NOT NULL($2))])
+ HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
+ HiveJoin(condition=[AND(=($1, $11), =($2, $20))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveJoin(condition=[=($0, $5)], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(ss_item_sk=[$2], ss_customer_sk=[$3], ss_store_sk=[$7], ss_ticket_number=[$9], ss_sales_price=[$13])
+ HiveFilter(condition=[AND(IS NOT NULL($9), IS NOT NULL($2), IS NOT NULL($7), IS NOT NULL($3))])
+ HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
+ HiveProject(i_item_sk=[$0], i_current_price=[$5], i_size=[$15], i_color=[CAST(_UTF-16LE'orchid'):VARCHAR(2147483647) CHARACTER SET "UTF-16LE" COLLATE "ISO-8859-1$en_US$primary"], i_units=[$18], i_manager_id=[$20])
+ HiveFilter(condition=[AND(=($17, _UTF-16LE'orchid'), IS NOT NULL($0))])
+ HiveTableScan(table=[[default, item]], table:alias=[item])
+ HiveProject(c_customer_sk=[$0], c_current_addr_sk=[$1], c_first_name=[$2], c_last_name=[$3], c_birth_country=[$4], ca_address_sk=[$5], ca_state=[$6], ca_zip=[$7], ca_country=[$8], s_store_sk=[$9], s_store_name=[$10], s_market_id=[$11], s_state=[$12], s_zip=[$13])
+ HiveJoin(condition=[AND(=($1, $5), <>($4, UPPER($8)))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(c_customer_sk=[$0], c_current_addr_sk=[$4], c_first_name=[$8], c_last_name=[$9], c_birth_country=[$14])
+ HiveFilter(condition=[AND(IS NOT NULL($0), IS NOT NULL($4))])
+ HiveTableScan(table=[[default, customer]], table:alias=[customer])
+ HiveJoin(condition=[=($8, $2)], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(ca_address_sk=[$0], ca_state=[$8], ca_zip=[$9], ca_country=[$10])
+ HiveFilter(condition=[AND(IS NOT NULL($0), IS NOT NULL($9))])
+ HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
+ HiveProject(s_store_sk=[$0], s_store_name=[$5], s_market_id=[CAST(7):INTEGER], s_state=[$24], s_zip=[$25])
+ HiveFilter(condition=[AND(=($10, 7), IS NOT NULL($0), IS NOT NULL($25))])
+ HiveTableScan(table=[[default, store]], table:alias=[store])
HiveProject(_o__c0=[*(0.05, /($0, $1))])
HiveAggregate(group=[{}], agg#0=[sum($10)], agg#1=[count($10)])
- HiveProject(c_first_name=[$0], c_last_name=[$1], s_store_name=[$2], s_state=[$3], i_current_price=[$4], i_size=[$5], i_color=[$6], i_units=[$7], i_manager_id=[$8], ca_state=[$9], $f10=[$10])
- HiveAggregate(group=[{3, 4, 12, 14, 17, 18, 19, 20, 21, 22}], agg#0=[sum($10)])
- HiveJoin(condition=[AND(=($5, UPPER($24)), =($15, $23))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveJoin(condition=[AND(=($9, $1), =($6, $0))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(sr_item_sk=[$2], sr_ticket_number=[$9])
- HiveFilter(condition=[AND(IS NOT NULL($9), IS NOT NULL($2))])
- HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
- HiveJoin(condition=[=($4, $14)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveJoin(condition=[=($5, $0)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(c_customer_sk=[$0], c_first_name=[$8], c_last_name=[$9], c_birth_country=[$14])
- HiveFilter(condition=[AND(IS NOT NULL($0), IS NOT NULL($14))])
+ HiveProject(c_first_name=[$0], c_last_name=[$1], ca_state=[$2], s_store_name=[$3], s_state=[$4], i_current_price=[$5], i_size=[$6], i_color=[$7], i_units=[$8], i_manager_id=[$9], $f10=[$10])
+ HiveAggregate(group=[{7, 8, 11, 15, 17, 20, 21, 22, 23, 24}], agg#0=[sum($4)])
+ HiveJoin(condition=[AND(=($3, $26), =($0, $25))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveJoin(condition=[=($0, $19)], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveJoin(condition=[AND(=($1, $5), =($2, $14))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(ss_item_sk=[$2], ss_customer_sk=[$3], ss_store_sk=[$7], ss_ticket_number=[$9], ss_sales_price=[$13])
+ HiveFilter(condition=[AND(IS NOT NULL($9), IS NOT NULL($2), IS NOT NULL($7), IS NOT NULL($3))])
+ HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
+ HiveJoin(condition=[AND(=($1, $5), <>($4, UPPER($8)))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(c_customer_sk=[$0], c_current_addr_sk=[$4], c_first_name=[$8], c_last_name=[$9], c_birth_country=[$14])
+ HiveFilter(condition=[AND(IS NOT NULL($0), IS NOT NULL($4))])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
- HiveJoin(condition=[=($2, $5)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_item_sk=[$2], ss_customer_sk=[$3], ss_store_sk=[$7], ss_ticket_number=[$9], ss_sales_price=[$13])
- HiveFilter(condition=[AND(IS NOT NULL($9), IS NOT NULL($2), IS NOT NULL($7), IS NOT NULL($3))])
- HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
+ HiveJoin(condition=[=($8, $2)], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(ca_address_sk=[$0], ca_state=[$8], ca_zip=[$9], ca_country=[$10])
+ HiveFilter(condition=[AND(IS NOT NULL($0), IS NOT NULL($9))])
+ HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(s_store_sk=[$0], s_store_name=[$5], s_market_id=[CAST(7):INTEGER], s_state=[$24], s_zip=[$25])
HiveFilter(condition=[AND(=($10, 7), IS NOT NULL($0), IS NOT NULL($25))])
HiveTableScan(table=[[default, store]], table:alias=[store])
- HiveProject(i_item_sk=[$0], i_current_price=[$5], i_size=[$15], i_color=[$17], i_units=[$18], i_manager_id=[$20])
- HiveFilter(condition=[IS NOT NULL($0)])
- HiveTableScan(table=[[default, item]], table:alias=[item])
- HiveProject(ca_state=[$8], ca_zip=[$9], ca_country=[$10])
- HiveFilter(condition=[AND(IS NOT NULL(UPPER($10)), IS NOT NULL($9))])
- HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
+ HiveProject(i_item_sk=[$0], i_current_price=[$5], i_size=[$15], i_color=[$17], i_units=[$18], i_manager_id=[$20])
+ HiveFilter(condition=[IS NOT NULL($0)])
+ HiveTableScan(table=[[default, item]], table:alias=[item])
+ HiveProject(sr_item_sk=[$2], sr_ticket_number=[$9])
+ HiveFilter(condition=[AND(IS NOT NULL($9), IS NOT NULL($2))])
+ HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query24.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query24.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query24.q.out
index 34cc51b..0801f34 100644
--- a/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query24.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query24.q.out
@@ -1,4 +1,4 @@
-Warning: Shuffle Join MERGEJOIN[287][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 8' is a cross product
+Warning: Shuffle Join MERGEJOIN[298][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 6' is a cross product
PREHOOK: query: explain cbo
with ssales as
(select c_last_name
@@ -23,7 +23,8 @@ where ss_ticket_number = sr_ticket_number
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
- and c_birth_country = upper(ca_country)
+ and c_current_addr_sk = ca_address_sk
+ and c_birth_country <> upper(ca_country)
and s_zip = ca_zip
and s_market_id=7
group by c_last_name
@@ -79,7 +80,8 @@ where ss_ticket_number = sr_ticket_number
and ss_customer_sk = c_customer_sk
and ss_item_sk = i_item_sk
and ss_store_sk = s_store_sk
- and c_birth_country = upper(ca_country)
+ and c_current_addr_sk = ca_address_sk
+ and c_birth_country <> upper(ca_country)
and s_zip = ca_zip
and s_market_id=7
group by c_last_name
@@ -115,54 +117,55 @@ CBO PLAN:
HiveProject($f0=[$0], $f1=[$1], $f2=[$2], $f3=[$3])
HiveJoin(condition=[>($3, $4)], joinType=[inner], algorithm=[none], cost=[not available])
HiveProject(c_last_name=[$1], c_first_name=[$0], s_store_name=[$2], $f3=[$3])
- HiveAggregate(group=[{1, 2, 7}], agg#0=[sum($9)])
- HiveProject(ca_state=[$0], c_first_name=[$1], c_last_name=[$2], i_current_price=[$3], i_size=[$4], i_units=[$5], i_manager_id=[$6], s_store_name=[$7], s_state=[$8], $f9=[$9])
- HiveAggregate(group=[{0, 6, 7, 15, 16, 17, 18, 20, 21}], agg#0=[sum($13)])
- HiveJoin(condition=[AND(=($8, $2), =($22, $1))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ca_state=[$8], ca_zip=[$9], UPPER=[UPPER($10)])
- HiveFilter(condition=[AND(IS NOT NULL(UPPER($10)), IS NOT NULL($9))])
- HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
- HiveJoin(condition=[AND(=($9, $1), =($6, $0))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(sr_item_sk=[$2], sr_ticket_number=[$9])
- HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
- HiveJoin(condition=[=($5, $0)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(c_customer_sk=[$0], c_first_name=[$8], c_last_name=[$9], c_birth_country=[$14])
- HiveFilter(condition=[IS NOT NULL($14)])
- HiveTableScan(table=[[default, customer]], table:alias=[customer])
- HiveJoin(condition=[=($2, $10)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveJoin(condition=[=($0, $5)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_item_sk=[$2], ss_customer_sk=[$3], ss_store_sk=[$7], ss_ticket_number=[$9], ss_sales_price=[$13])
- HiveFilter(condition=[AND(IS NOT NULL($7), IS NOT NULL($3))])
- HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
- HiveProject(i_item_sk=[$0], i_current_price=[$5], i_size=[$15], i_units=[$18], i_manager_id=[$20])
- HiveFilter(condition=[=($17, _UTF-16LE'orchid')])
- HiveTableScan(table=[[default, item]], table:alias=[item])
- HiveProject(s_store_sk=[$0], s_store_name=[$5], s_state=[$24], s_zip=[$25])
- HiveFilter(condition=[AND(=($10, 7), IS NOT NULL($25))])
- HiveTableScan(table=[[default, store]], table:alias=[store])
- HiveProject(_o__c0=[*(0.05, /($0, $1))])
- HiveAggregate(group=[{}], agg#0=[sum($10)], agg#1=[count($10)])
- HiveProject(c_first_name=[$0], c_last_name=[$1], s_store_name=[$2], s_state=[$3], i_current_price=[$4], i_size=[$5], i_color=[$6], i_units=[$7], i_manager_id=[$8], ca_state=[$9], $f10=[$10])
- HiveAggregate(group=[{3, 4, 12, 13, 16, 17, 18, 19, 20, 21}], agg#0=[sum($10)])
- HiveJoin(condition=[AND(=($5, $23), =($14, $22))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveJoin(condition=[AND(=($9, $1), =($6, $0))], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(sr_item_sk=[$2], sr_ticket_number=[$9])
- HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
- HiveJoin(condition=[=($4, $13)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveJoin(condition=[=($5, $0)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(c_customer_sk=[$0], c_first_name=[$8], c_last_name=[$9], c_birth_country=[$14])
- HiveFilter(condition=[IS NOT NULL($14)])
+ HiveAggregate(group=[{4, 5, 7}], agg#0=[sum($9)])
+ HiveProject(i_current_price=[$0], i_size=[$1], i_units=[$2], i_manager_id=[$3], c_first_name=[$4], c_last_name=[$5], ca_state=[$6], s_store_name=[$7], s_state=[$8], $f9=[$9])
+ HiveAggregate(group=[{8, 9, 10, 11, 14, 15, 18, 22, 23}], agg#0=[sum($6)])
+ HiveJoin(condition=[AND(=($5, $1), =($2, $0))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(sr_item_sk=[$2], sr_ticket_number=[$9])
+ HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
+ HiveJoin(condition=[AND(=($1, $10), =($2, $19))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveJoin(condition=[=($0, $5)], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(ss_item_sk=[$2], ss_customer_sk=[$3], ss_store_sk=[$7], ss_ticket_number=[$9], ss_sales_price=[$13])
+ HiveFilter(condition=[AND(IS NOT NULL($7), IS NOT NULL($3))])
+ HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
+ HiveProject(i_item_sk=[$0], i_current_price=[$5], i_size=[$15], i_units=[$18], i_manager_id=[$20])
+ HiveFilter(condition=[=($17, _UTF-16LE'orchid')])
+ HiveTableScan(table=[[default, item]], table:alias=[item])
+ HiveProject(c_customer_sk=[$0], c_current_addr_sk=[$1], c_first_name=[$2], c_last_name=[$3], c_birth_country=[$4], ca_address_sk=[$5], ca_state=[$6], ca_zip=[$7], UPPER=[$8], s_store_sk=[$9], s_store_name=[$10], s_state=[$11], s_zip=[$12])
+ HiveJoin(condition=[AND(=($1, $5), <>($4, $8))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(c_customer_sk=[$0], c_current_addr_sk=[$4], c_first_name=[$8], c_last_name=[$9], c_birth_country=[$14])
+ HiveFilter(condition=[IS NOT NULL($4)])
HiveTableScan(table=[[default, customer]], table:alias=[customer])
- HiveJoin(condition=[=($2, $5)], joinType=[inner], algorithm=[none], cost=[not available])
- HiveProject(ss_item_sk=[$2], ss_customer_sk=[$3], ss_store_sk=[$7], ss_ticket_number=[$9], ss_sales_price=[$13])
- HiveFilter(condition=[AND(IS NOT NULL($7), IS NOT NULL($3))])
- HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
+ HiveJoin(condition=[=($7, $2)], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(ca_address_sk=[$0], ca_state=[$8], ca_zip=[$9], UPPER=[UPPER($10)])
+ HiveFilter(condition=[IS NOT NULL($9)])
+ HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
HiveProject(s_store_sk=[$0], s_store_name=[$5], s_state=[$24], s_zip=[$25])
HiveFilter(condition=[AND(=($10, 7), IS NOT NULL($25))])
HiveTableScan(table=[[default, store]], table:alias=[store])
- HiveProject(i_item_sk=[$0], i_current_price=[$5], i_size=[$15], i_color=[$17], i_units=[$18], i_manager_id=[$20])
- HiveTableScan(table=[[default, item]], table:alias=[item])
- HiveProject(ca_state=[$8], ca_zip=[$9], UPPER=[UPPER($10)])
- HiveFilter(condition=[AND(IS NOT NULL(UPPER($10)), IS NOT NULL($9))])
- HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
+ HiveProject(_o__c0=[*(0.05, /($0, $1))])
+ HiveAggregate(group=[{}], agg#0=[sum($10)], agg#1=[count($10)])
+ HiveProject(c_first_name=[$0], c_last_name=[$1], ca_state=[$2], s_store_name=[$3], s_state=[$4], i_current_price=[$5], i_size=[$6], i_color=[$7], i_units=[$8], i_manager_id=[$9], $f10=[$10])
+ HiveAggregate(group=[{9, 10, 13, 17, 18, 21, 22, 23, 24, 25}], agg#0=[sum($6)])
+ HiveJoin(condition=[AND(=($5, $1), =($2, $0))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(sr_item_sk=[$2], sr_ticket_number=[$9])
+ HiveTableScan(table=[[default, store_returns]], table:alias=[store_returns])
+ HiveJoin(condition=[=($0, $18)], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveJoin(condition=[AND(=($17, $12), =($2, $14))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveJoin(condition=[=($1, $5)], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(ss_item_sk=[$2], ss_customer_sk=[$3], ss_store_sk=[$7], ss_ticket_number=[$9], ss_sales_price=[$13])
+ HiveFilter(condition=[AND(IS NOT NULL($7), IS NOT NULL($3))])
+ HiveTableScan(table=[[default, store_sales]], table:alias=[store_sales])
+ HiveJoin(condition=[AND(=($1, $5), <>($4, $8))], joinType=[inner], algorithm=[none], cost=[not available])
+ HiveProject(c_customer_sk=[$0], c_current_addr_sk=[$4], c_first_name=[$8], c_last_name=[$9], c_birth_country=[$14])
+ HiveFilter(condition=[IS NOT NULL($4)])
+ HiveTableScan(table=[[default, customer]], table:alias=[customer])
+ HiveProject(ca_address_sk=[$0], ca_state=[$8], ca_zip=[$9], UPPER=[UPPER($10)])
+ HiveFilter(condition=[IS NOT NULL($9)])
+ HiveTableScan(table=[[default, customer_address]], table:alias=[customer_address])
+ HiveProject(s_store_sk=[$0], s_store_name=[$5], s_state=[$24], s_zip=[$25])
+ HiveFilter(condition=[AND(=($10, 7), IS NOT NULL($25))])
+ HiveTableScan(table=[[default, store]], table:alias=[store])
+ HiveProject(i_item_sk=[$0], i_current_price=[$5], i_size=[$15], i_color=[$17], i_units=[$18], i_manager_id=[$20])
+ HiveTableScan(table=[[default, item]], table:alias=[item])
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query6.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query6.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query6.q.out
index ef53060..cbf372a 100644
--- a/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query6.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/cbo_query6.q.out
@@ -1,4 +1,4 @@
-Warning: Map Join MAPJOIN[172][bigTable=?] in task 'Reducer 15' is a cross product
+Warning: Map Join MAPJOIN[170][bigTable=?] in task 'Reducer 15' is a cross product
PREHOOK: query: explain cbo
select a.ca_state state, count(*) cnt
from customer_address a