You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@hive.apache.org by "Mostafa Mokhtar (JIRA)" <ji...@apache.org> on 2015/02/09 20:21:35 UTC
[jira] [Created] (HIVE-9624) NullPointerException in
MapJoinOperator.processOp(MapJoinOperator.java:253) for TPC-DS Q75 against
un-partitioned schema
Mostafa Mokhtar created HIVE-9624:
-------------------------------------
Summary: NullPointerException in MapJoinOperator.processOp(MapJoinOperator.java:253) for TPC-DS Q75 against un-partitioned schema
Key: HIVE-9624
URL: https://issues.apache.org/jira/browse/HIVE-9624
Project: Hive
Issue Type: Bug
Components: Query Processor
Affects Versions: 0.14.0
Reporter: Mostafa Mokhtar
Assignee: Gunther Hagleitner
Fix For: 1.2.0
Running TPC-DS Q75 against a non-partitioned schema fails with
{code}
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Unexpected exception: null
at org.apache.hadoop.hive.ql.exec.MapJoinOperator.processOp(MapJoinOperator.java:314)
at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:815)
at org.apache.hadoop.hive.ql.exec.CommonJoinOperator.internalForward(CommonJoinOperator.java:638)
at org.apache.hadoop.hive.ql.exec.CommonJoinOperator.createForwardJoinObject(CommonJoinOperator.java:433)
at org.apache.hadoop.hive.ql.exec.CommonJoinOperator.genObject(CommonJoinOperator.java:525)
at org.apache.hadoop.hive.ql.exec.CommonJoinOperator.genObject(CommonJoinOperator.java:522)
at org.apache.hadoop.hive.ql.exec.CommonJoinOperator.genJoinObject(CommonJoinOperator.java:451)
at org.apache.hadoop.hive.ql.exec.CommonJoinOperator.checkAndGenObject(CommonJoinOperator.java:752)
at org.apache.hadoop.hive.ql.exec.CommonMergeJoinOperator.joinObject(CommonMergeJoinOperator.java:248)
at org.apache.hadoop.hive.ql.exec.CommonMergeJoinOperator.joinOneGroup(CommonMergeJoinOperator.java:213)
at org.apache.hadoop.hive.ql.exec.CommonMergeJoinOperator.processOp(CommonMergeJoinOperator.java:196)
at org.apache.hadoop.hive.ql.exec.tez.ReduceRecordSource$GroupIterator.next(ReduceRecordSource.java:328)
... 16 more
Caused by: java.lang.NullPointerException
at org.apache.hadoop.hive.ql.exec.MapJoinOperator.processOp(MapJoinOperator.java:253)
... 27 more
{code}
This line maps to hashMapRowGetters = new ReusableGetAdaptor[mapJoinTables.length] in the code snippet below
{code}
alias = (byte) tag;
if (hashMapRowGetters == null) {
hashMapRowGetters = new ReusableGetAdaptor[mapJoinTables.length];
MapJoinKey refKey = getRefKey(alias);
for (byte pos = 0; pos < order.length; pos++) {
if (pos != alias) {
hashMapRowGetters[pos] = mapJoinTables[pos].createGetter(refKey);
}
}
}
{code}
Query
{code}
WITH all_sales AS (
SELECT d_year
,i_brand_id
,i_class_id
,i_category_id
,i_manufact_id
,SUM(sales_cnt) AS sales_cnt
,SUM(sales_amt) AS sales_amt
FROM (SELECT d_year
,i_brand_id
,i_class_id
,i_category_id
,i_manufact_id
,cs_quantity - COALESCE(cr_return_quantity,0) AS sales_cnt
,cs_ext_sales_price - COALESCE(cr_return_amount,0.0) AS sales_amt
FROM catalog_sales JOIN item ON i_item_sk=cs_item_sk
JOIN date_dim ON d_date_sk=cs_sold_date_sk
LEFT JOIN catalog_returns ON (cs_order_number=cr_order_number
AND cs_item_sk=cr_item_sk)
WHERE i_category='Sports'
UNION ALL
SELECT d_year
,i_brand_id
,i_class_id
,i_category_id
,i_manufact_id
,ss_quantity - COALESCE(sr_return_quantity,0) AS sales_cnt
,ss_ext_sales_price - COALESCE(sr_return_amt,0.0) AS sales_amt
FROM store_sales JOIN item ON i_item_sk=ss_item_sk
JOIN date_dim ON d_date_sk=ss_sold_date_sk
LEFT JOIN store_returns ON (ss_ticket_number=sr_ticket_number
AND ss_item_sk=sr_item_sk)
WHERE i_category='Sports'
UNION ALL
SELECT d_year
,i_brand_id
,i_class_id
,i_category_id
,i_manufact_id
,ws_quantity - COALESCE(wr_return_quantity,0) AS sales_cnt
,ws_ext_sales_price - COALESCE(wr_return_amt,0.0) AS sales_amt
FROM web_sales JOIN item ON i_item_sk=ws_item_sk
JOIN date_dim ON d_date_sk=ws_sold_date_sk
LEFT JOIN web_returns ON (ws_order_number=wr_order_number
AND ws_item_sk=wr_item_sk)
WHERE i_category='Sports') sales_detail
GROUP BY d_year, i_brand_id, i_class_id, i_category_id, i_manufact_id)
SELECT prev_yr.d_year AS prev_year
,curr_yr.d_year AS year
,curr_yr.i_brand_id
,curr_yr.i_class_id
,curr_yr.i_category_id
,curr_yr.i_manufact_id
,prev_yr.sales_cnt AS prev_yr_cnt
,curr_yr.sales_cnt AS curr_yr_cnt
,curr_yr.sales_cnt-prev_yr.sales_cnt AS sales_cnt_diff
,curr_yr.sales_amt-prev_yr.sales_amt AS sales_amt_diff
FROM all_sales curr_yr, all_sales prev_yr
WHERE curr_yr.i_brand_id=prev_yr.i_brand_id
AND curr_yr.i_class_id=prev_yr.i_class_id
AND curr_yr.i_category_id=prev_yr.i_category_id
AND curr_yr.i_manufact_id=prev_yr.i_manufact_id
AND curr_yr.d_year=2002
AND prev_yr.d_year=2002-1
AND CAST(curr_yr.sales_cnt AS DECIMAL(17,2))/CAST(prev_yr.sales_cnt AS DECIMAL(17,2))<0.9
ORDER BY sales_cnt_diff
limit 100
{code}
explain
{code}
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 6 (BROADCAST_EDGE)
Map 14 <- Map 16 (BROADCAST_EDGE)
Map 18 <- Reducer 15 (BROADCAST_EDGE), Union 3 (CONTAINS)
Map 19 <- Map 23 (BROADCAST_EDGE)
Map 26 <- Map 28 (BROADCAST_EDGE)
Map 31 <- Map 33 (BROADCAST_EDGE)
Map 35 <- Reducer 32 (BROADCAST_EDGE), Union 21 (CONTAINS)
Map 9 <- Map 11 (BROADCAST_EDGE)
Reducer 10 <- Map 12 (SIMPLE_EDGE), Map 13 (BROADCAST_EDGE), Map 9 (SIMPLE_EDGE), Union 3 (CONTAINS)
Reducer 15 <- Map 14 (SIMPLE_EDGE), Map 17 (SIMPLE_EDGE)
Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE), Map 8 (BROADCAST_EDGE), Union 3 (CONTAINS)
Reducer 20 <- Map 19 (SIMPLE_EDGE), Map 24 (SIMPLE_EDGE), Map 25 (BROADCAST_EDGE), Union 21 (CONTAINS)
Reducer 22 <- Union 21 (SIMPLE_EDGE)
Reducer 27 <- Map 26 (SIMPLE_EDGE), Map 29 (SIMPLE_EDGE), Map 30 (BROADCAST_EDGE), Union 21 (CONTAINS)
Reducer 32 <- Map 31 (SIMPLE_EDGE), Map 34 (SIMPLE_EDGE)
Reducer 4 <- Reducer 22 (BROADCAST_EDGE), Union 3 (SIMPLE_EDGE)
Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
DagName: mmokhtar_20150207174141_8f167b31-c893-4c6e-86d6-855d20744d92:1
Vertices:
Map 1
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_sold_date_sk is not null and cs_item_sk is not null) (type: boolean)
Statistics: Num rows: 817736652 Data size: 16354733056 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (cs_sold_date_sk is not null and cs_item_sk is not null) (type: boolean)
Statistics: Num rows: 817736652 Data size: 16348976724 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_item_sk (type: int), cs_order_number (type: int), cs_quantity (type: int), cs_ext_sales_price (type: float)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
Statistics: Num rows: 817736652 Data size: 16348976724 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col0 (type: int)
1 _col0 (type: int)
outputColumnNames: _col1, _col2, _col3, _col4, _col6
input vertices:
1 Map 6
Statistics: Num rows: 148779579 Data size: 2380473264 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col2 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col2 (type: int), _col1 (type: int)
Statistics: Num rows: 148779579 Data size: 2380473264 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col3 (type: int), _col4 (type: float), _col6 (type: int)
Execution mode: vectorized
Map 11
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 45363 Data size: 362905 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 405 Data size: 3240 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: 2002 (type: int)
Execution mode: vectorized
Map 12
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: sr_item_sk is not null (type: boolean)
Statistics: Num rows: 167243952 Data size: 2675903232 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: sr_item_sk is not null (type: boolean)
Statistics: Num rows: 167243952 Data size: 2667828428 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: sr_item_sk (type: int), sr_ticket_number (type: int), sr_return_quantity (type: int), sr_return_amt (type: float)
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 167243952 Data size: 2667828428 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col1 (type: int), _col0 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col0 (type: int)
Statistics: Num rows: 167243952 Data size: 2667828428 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col2 (type: int), _col3 (type: float)
Execution mode: vectorized
Map 13
Map Operator Tree:
TableScan
alias: item
filterExpr: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 118835 Data size: 3089722 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 11836 Data size: 1301772 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_class_id (type: int), i_category_id (type: int), i_manufact_id (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col5
Statistics: Num rows: 11836 Data size: 236532 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 11836 Data size: 236532 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col5 (type: int)
Execution mode: vectorized
Map 14
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_item_sk is not null) (type: boolean)
Statistics: Num rows: 447759411 Data size: 8955188224 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (ws_sold_date_sk is not null and ws_item_sk is not null) (type: boolean)
Statistics: Num rows: 447759411 Data size: 8955044072 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_order_number (type: int), ws_quantity (type: int), ws_ext_sales_price (type: float)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
Statistics: Num rows: 447759411 Data size: 8955044072 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col0 (type: int)
1 _col0 (type: int)
outputColumnNames: _col1, _col2, _col3, _col4, _col6
input vertices:
1 Map 16
Statistics: Num rows: 81465661 Data size: 1303450576 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col2 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col2 (type: int), _col1 (type: int)
Statistics: Num rows: 81465661 Data size: 1303450576 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col3 (type: int), _col4 (type: float), _col6 (type: int)
Execution mode: vectorized
Map 16
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 45363 Data size: 362905 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 405 Data size: 3240 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: 2002 (type: int)
Execution mode: vectorized
Map 17
Map Operator Tree:
TableScan
alias: web_returns
filterExpr: wr_item_sk is not null (type: boolean)
Statistics: Num rows: 50457044 Data size: 807312704 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: wr_item_sk is not null (type: boolean)
Statistics: Num rows: 50457044 Data size: 804725540 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: wr_item_sk (type: int), wr_order_number (type: int), wr_return_quantity (type: int), wr_return_amt (type: float)
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 50457044 Data size: 804725540 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col1 (type: int), _col0 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col0 (type: int)
Statistics: Num rows: 50457044 Data size: 804725540 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col2 (type: int), _col3 (type: float)
Execution mode: vectorized
Map 18
Map Operator Tree:
TableScan
alias: item
filterExpr: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Filter Operator
predicate: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_class_id (type: int), i_category_id (type: int), i_manufact_id (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col5
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col1 (type: int)
1 _col0 (type: int)
outputColumnNames: _col3, _col4, _col6, _col9, _col10, _col12, _col13, _col14, _col16
input vertices:
0 Reducer 15
Select Operator
expressions: _col6 (type: int), _col12 (type: int), _col13 (type: int), _col14 (type: int), _col16 (type: int), (_col3 - COALESCE(_col9,0)) (type: int), (UDFToDouble(_col4) - COALESCE(_col10,0.0)) (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Group By Operator
aggregations: sum(_col5), sum(_col6)
keys: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
sort order: +++++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
value expressions: _col5 (type: bigint), _col6 (type: double)
Execution mode: vectorized
Map 19
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_sold_date_sk is not null and cs_item_sk is not null) (type: boolean)
Statistics: Num rows: 817736652 Data size: 16354733056 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (cs_sold_date_sk is not null and cs_item_sk is not null) (type: boolean)
Statistics: Num rows: 817736652 Data size: 16348976724 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_item_sk (type: int), cs_order_number (type: int), cs_quantity (type: int), cs_ext_sales_price (type: float)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
Statistics: Num rows: 817736652 Data size: 16348976724 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col0 (type: int)
1 _col0 (type: int)
outputColumnNames: _col1, _col2, _col3, _col4, _col6
input vertices:
1 Map 23
Statistics: Num rows: 148779579 Data size: 2380473264 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col2 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col2 (type: int), _col1 (type: int)
Statistics: Num rows: 148779579 Data size: 2380473264 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col3 (type: int), _col4 (type: float), _col6 (type: int)
Execution mode: vectorized
Map 23
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 45363 Data size: 362905 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 405 Data size: 3240 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: 2001 (type: int)
Execution mode: vectorized
Map 24
Map Operator Tree:
TableScan
alias: catalog_returns
filterExpr: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 108409176 Data size: 1734546816 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 108409176 Data size: 1729935996 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: cr_item_sk (type: int), cr_order_number (type: int), cr_return_quantity (type: int), cr_return_amount (type: float)
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 108409176 Data size: 1729935996 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col1 (type: int), _col0 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col0 (type: int)
Statistics: Num rows: 108409176 Data size: 1729935996 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col2 (type: int), _col3 (type: float)
Execution mode: vectorized
Map 25
Map Operator Tree:
TableScan
alias: item
filterExpr: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 118835 Data size: 3089722 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 11836 Data size: 1301772 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_class_id (type: int), i_category_id (type: int), i_manufact_id (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col5
Statistics: Num rows: 11836 Data size: 236532 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 11836 Data size: 236532 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col5 (type: int)
Execution mode: vectorized
Map 26
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 1174353612 Data size: 23487072256 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (ss_sold_date_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 1174353612 Data size: 23383406888 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_ticket_number (type: int), ss_quantity (type: int), ss_ext_sales_price (type: float)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
Statistics: Num rows: 1174353612 Data size: 23383406888 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col0 (type: int)
1 _col0 (type: int)
outputColumnNames: _col1, _col2, _col3, _col4, _col6
input vertices:
1 Map 28
Statistics: Num rows: 213662719 Data size: 3418603504 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col2 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col2 (type: int), _col1 (type: int)
Statistics: Num rows: 213662719 Data size: 3418603504 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col3 (type: int), _col4 (type: float), _col6 (type: int)
Execution mode: vectorized
Map 28
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 45363 Data size: 362905 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 405 Data size: 3240 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: 2001 (type: int)
Execution mode: vectorized
Map 29
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: sr_item_sk is not null (type: boolean)
Statistics: Num rows: 167243952 Data size: 2675903232 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: sr_item_sk is not null (type: boolean)
Statistics: Num rows: 167243952 Data size: 2667828428 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: sr_item_sk (type: int), sr_ticket_number (type: int), sr_return_quantity (type: int), sr_return_amt (type: float)
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 167243952 Data size: 2667828428 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col1 (type: int), _col0 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col0 (type: int)
Statistics: Num rows: 167243952 Data size: 2667828428 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col2 (type: int), _col3 (type: float)
Execution mode: vectorized
Map 30
Map Operator Tree:
TableScan
alias: item
filterExpr: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 118835 Data size: 3089722 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 11836 Data size: 1301772 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_class_id (type: int), i_category_id (type: int), i_manufact_id (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col5
Statistics: Num rows: 11836 Data size: 236532 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 11836 Data size: 236532 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col5 (type: int)
Execution mode: vectorized
Map 31
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_item_sk is not null) (type: boolean)
Statistics: Num rows: 447759411 Data size: 8955188224 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (ws_sold_date_sk is not null and ws_item_sk is not null) (type: boolean)
Statistics: Num rows: 447759411 Data size: 8955044072 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_order_number (type: int), ws_quantity (type: int), ws_ext_sales_price (type: float)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
Statistics: Num rows: 447759411 Data size: 8955044072 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col0 (type: int)
1 _col0 (type: int)
outputColumnNames: _col1, _col2, _col3, _col4, _col6
input vertices:
1 Map 33
Statistics: Num rows: 81465661 Data size: 1303450576 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col2 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col2 (type: int), _col1 (type: int)
Statistics: Num rows: 81465661 Data size: 1303450576 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col3 (type: int), _col4 (type: float), _col6 (type: int)
Execution mode: vectorized
Map 33
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 45363 Data size: 362905 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 405 Data size: 3240 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: 2001 (type: int)
Execution mode: vectorized
Map 34
Map Operator Tree:
TableScan
alias: web_returns
filterExpr: wr_item_sk is not null (type: boolean)
Statistics: Num rows: 50457044 Data size: 807312704 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: wr_item_sk is not null (type: boolean)
Statistics: Num rows: 50457044 Data size: 804725540 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: wr_item_sk (type: int), wr_order_number (type: int), wr_return_quantity (type: int), wr_return_amt (type: float)
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 50457044 Data size: 804725540 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col1 (type: int), _col0 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col0 (type: int)
Statistics: Num rows: 50457044 Data size: 804725540 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col2 (type: int), _col3 (type: float)
Execution mode: vectorized
Map 35
Map Operator Tree:
TableScan
alias: item
filterExpr: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Filter Operator
predicate: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_class_id (type: int), i_category_id (type: int), i_manufact_id (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col5
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col1 (type: int)
1 _col0 (type: int)
outputColumnNames: _col3, _col4, _col6, _col9, _col10, _col12, _col13, _col14, _col16
input vertices:
0 Reducer 32
Select Operator
expressions: _col6 (type: int), _col12 (type: int), _col13 (type: int), _col14 (type: int), _col16 (type: int), (_col3 - COALESCE(_col9,0)) (type: int), (UDFToDouble(_col4) - COALESCE(_col10,0.0)) (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Group By Operator
aggregations: sum(_col5), sum(_col6)
keys: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
sort order: +++++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
value expressions: _col5 (type: bigint), _col6 (type: double)
Execution mode: vectorized
Map 6
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 45363 Data size: 362905 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 405 Data size: 3240 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 405 Data size: 1620 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: 2002 (type: int)
Execution mode: vectorized
Map 7
Map Operator Tree:
TableScan
alias: catalog_returns
filterExpr: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 108409176 Data size: 1734546816 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 108409176 Data size: 1729935996 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: cr_item_sk (type: int), cr_order_number (type: int), cr_return_quantity (type: int), cr_return_amount (type: float)
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 108409176 Data size: 1729935996 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col1 (type: int), _col0 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col0 (type: int)
Statistics: Num rows: 108409176 Data size: 1729935996 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col2 (type: int), _col3 (type: float)
Execution mode: vectorized
Map 8
Map Operator Tree:
TableScan
alias: item
filterExpr: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 118835 Data size: 3089722 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((((((i_category = 'Sports') and i_item_sk is not null) and i_brand_id is not null) and i_class_id is not null) and i_category_id is not null) and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 11836 Data size: 1301772 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_class_id (type: int), i_category_id (type: int), i_manufact_id (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col5
Statistics: Num rows: 11836 Data size: 236532 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 11836 Data size: 236532 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col5 (type: int)
Execution mode: vectorized
Map 9
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 1174353612 Data size: 23487072256 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (ss_sold_date_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 1174353612 Data size: 23383406888 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_ticket_number (type: int), ss_quantity (type: int), ss_ext_sales_price (type: float)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
Statistics: Num rows: 1174353612 Data size: 23383406888 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col0 (type: int)
1 _col0 (type: int)
outputColumnNames: _col1, _col2, _col3, _col4, _col6
input vertices:
1 Map 11
Statistics: Num rows: 213662719 Data size: 3418603504 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col2 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col2 (type: int), _col1 (type: int)
Statistics: Num rows: 213662719 Data size: 3418603504 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col3 (type: int), _col4 (type: float), _col6 (type: int)
Execution mode: vectorized
Reducer 10
Reduce Operator Tree:
Merge Join Operator
condition map:
Left Outer Join0 to 1
keys:
0 _col2 (type: int), _col1 (type: int)
1 _col1 (type: int), _col0 (type: int)
outputColumnNames: _col1, _col3, _col4, _col6, _col9, _col10
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col1 (type: int)
1 _col0 (type: int)
outputColumnNames: _col3, _col4, _col6, _col9, _col10, _col12, _col13, _col14, _col16
input vertices:
1 Map 13
Select Operator
expressions: _col6 (type: int), _col12 (type: int), _col13 (type: int), _col14 (type: int), _col16 (type: int), (_col3 - COALESCE(_col9,0)) (type: int), (UDFToDouble(_col4) - COALESCE(_col10,0.0)) (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Group By Operator
aggregations: sum(_col5), sum(_col6)
keys: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
sort order: +++++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
value expressions: _col5 (type: bigint), _col6 (type: double)
Reducer 15
Reduce Operator Tree:
Merge Join Operator
condition map:
Left Outer Join0 to 1
keys:
0 _col2 (type: int), _col1 (type: int)
1 _col1 (type: int), _col0 (type: int)
outputColumnNames: _col1, _col3, _col4, _col6, _col9, _col10
Statistics: Num rows: 8204 Data size: 164080 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
Statistics: Num rows: 8204 Data size: 164080 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col3 (type: int), _col4 (type: float), _col6 (type: int), _col9 (type: int), _col10 (type: float)
Reducer 2
Reduce Operator Tree:
Merge Join Operator
condition map:
Left Outer Join0 to 1
keys:
0 _col2 (type: int), _col1 (type: int)
1 _col1 (type: int), _col0 (type: int)
outputColumnNames: _col1, _col3, _col4, _col6, _col9, _col10
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col1 (type: int)
1 _col0 (type: int)
outputColumnNames: _col3, _col4, _col6, _col9, _col10, _col12, _col13, _col14, _col16
input vertices:
1 Map 8
Select Operator
expressions: _col6 (type: int), _col12 (type: int), _col13 (type: int), _col14 (type: int), _col16 (type: int), (_col3 - COALESCE(_col9,0)) (type: int), (UDFToDouble(_col4) - COALESCE(_col10,0.0)) (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Group By Operator
aggregations: sum(_col5), sum(_col6)
keys: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
sort order: +++++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
value expressions: _col5 (type: bigint), _col6 (type: double)
Reducer 20
Reduce Operator Tree:
Merge Join Operator
condition map:
Left Outer Join0 to 1
keys:
0 _col2 (type: int), _col1 (type: int)
1 _col1 (type: int), _col0 (type: int)
outputColumnNames: _col1, _col3, _col4, _col6, _col9, _col10
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col1 (type: int)
1 _col0 (type: int)
outputColumnNames: _col3, _col4, _col6, _col9, _col10, _col12, _col13, _col14, _col16
input vertices:
1 Map 25
Select Operator
expressions: _col6 (type: int), _col12 (type: int), _col13 (type: int), _col14 (type: int), _col16 (type: int), (_col3 - COALESCE(_col9,0)) (type: int), (UDFToDouble(_col4) - COALESCE(_col10,0.0)) (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Group By Operator
aggregations: sum(_col5), sum(_col6)
keys: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
sort order: +++++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
value expressions: _col5 (type: bigint), _col6 (type: double)
Reducer 22
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: int), KEY._col4 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
sort order: ++++
Map-reduce partition columns: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: int), _col5 (type: bigint), _col6 (type: double)
Reducer 27
Reduce Operator Tree:
Merge Join Operator
condition map:
Left Outer Join0 to 1
keys:
0 _col2 (type: int), _col1 (type: int)
1 _col1 (type: int), _col0 (type: int)
outputColumnNames: _col1, _col3, _col4, _col6, _col9, _col10
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col1 (type: int)
1 _col0 (type: int)
outputColumnNames: _col3, _col4, _col6, _col9, _col10, _col12, _col13, _col14, _col16
input vertices:
1 Map 30
Select Operator
expressions: _col6 (type: int), _col12 (type: int), _col13 (type: int), _col14 (type: int), _col16 (type: int), (_col3 - COALESCE(_col9,0)) (type: int), (UDFToDouble(_col4) - COALESCE(_col10,0.0)) (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Group By Operator
aggregations: sum(_col5), sum(_col6)
keys: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
sort order: +++++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
value expressions: _col5 (type: bigint), _col6 (type: double)
Reducer 32
Reduce Operator Tree:
Merge Join Operator
condition map:
Left Outer Join0 to 1
keys:
0 _col2 (type: int), _col1 (type: int)
1 _col1 (type: int), _col0 (type: int)
outputColumnNames: _col1, _col3, _col4, _col6, _col9, _col10
Statistics: Num rows: 8204 Data size: 164080 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
Statistics: Num rows: 8204 Data size: 164080 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col3 (type: int), _col4 (type: float), _col6 (type: int), _col9 (type: int), _col10 (type: float)
Reducer 4
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: int), KEY._col4 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
1 _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col12, _col13
input vertices:
1 Reducer 22
Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: COMPLETE
Filter Operator
predicate: ((CAST( _col5 AS decimal(17,2)) / CAST( _col12 AS decimal(17,2))) < CAST( 0.9 AS decimal(37,20))) (type: boolean)
Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: COMPLETE
Select Operator
expressions: _col7 (type: int), _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col12 (type: bigint), _col5 (type: bigint), (_col5 - _col12) (type: bigint), (_col6 - _col13) (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col8 (type: bigint)
sort order: +
Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: COMPLETE
TopN Hash Memory Usage: 0.04
value expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: bigint), _col7 (type: bigint), _col9 (type: double)
Reducer 5
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: int), VALUE._col3 (type: int), VALUE._col4 (type: int), VALUE._col5 (type: int), VALUE._col6 (type: bigint), VALUE._col7 (type: bigint), KEY.reducesinkkey0 (type: bigint), VALUE._col8 (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: COMPLETE
Limit
Number of rows: 100
Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: COMPLETE
File Output Operator
compressed: false
Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: COMPLETE
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
Union 21
Vertex: Union 21
Union 3
Vertex: Union 3
Stage: Stage-0
Fetch Operator
limit: 100
Processor Tree:
ListSink
Time taken: 12.351 seconds, Fetched: 821 row(s)
{code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)