Details
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Bug
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Status: Closed
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Critical
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Resolution: Fixed
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0.14.0
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None
Description
Overflow in row counts and data size for several TPC-DS queries.
Interestingly the operators which have overflow end up running with a small parallelism.
For instance Reducer 2 has an overflow but it only runs with parallelism of 2.
Reducer 2
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: float)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
Statistics: Num rows: 9223372036854775807 Data size: 9223372036854775341 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col3 (type: string), _col3 (type: string)
sort order: ++
Map-reduce partition columns: _col3 (type: string)
Statistics: Num rows: 9223372036854775807 Data size: 9223372036854775341 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: float), _col5 (type: double)
Execution mode: vectorized
VERTEX TOTAL_TASKS DURATION_SECONDS CPU_TIME_MILLIS INPUT_RECORDS OUTPUT_RECORDS Map 1 62 26.41 1,779,510 211,978,502 60,628,390 Map 5 1 4.28 6,950 138,098 138,098 Map 6 1 2.44 3,910 31 31 Reducer 2 2 22.69 61,320 60,628,390 69,182 Reducer 3 1 2.63 3,910 69,182 100 Reducer 4 1 1.01 1,180 100 100
Query
explain
select i_item_desc
,i_category
,i_class
,i_current_price
,i_item_id
,sum(ws_ext_sales_price) as itemrevenue
,sum(ws_ext_sales_price)*100/sum(sum(ws_ext_sales_price)) over
(partition by i_class) as revenueratio
from
web_sales
,item
,date_dim
where
web_sales.ws_item_sk = item.i_item_sk
and item.i_category in ('Jewelry', 'Sports', 'Books')
and web_sales.ws_sold_date_sk = date_dim.d_date_sk
and date_dim.d_date between '2001-01-12' and '2001-02-11'
group by
i_item_id
,i_item_desc
,i_category
,i_class
,i_current_price
order by
i_category
,i_class
,i_item_id
,i_item_desc
,revenueratio
limit 100
Explain
STAGE PLANS:
Stage: Stage-1
Tez
Edges:
Map 1 <- Map 5 (BROADCAST_EDGE), Map 6 (BROADCAST_EDGE)
Reducer 2 <- Map 1 (SIMPLE_EDGE)
Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
DagName: mmokhtar_20141019164343_854cb757-01bd-40cb-843e-9ada7c5e6f38:1
Vertices:
Map 1
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: ws_item_sk is not null (type: boolean)
Statistics: Num rows: 21594638446 Data size: 2850189889652 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ws_item_sk is not null (type: boolean)
Statistics: Num rows: 21594638446 Data size: 172746300152 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: ws_item_sk (type: int), ws_ext_sales_price (type: float), ws_sold_date_sk (type: int)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 21594638446 Data size: 172746300152 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
condition expressions:
0 {_col0} {_col1}
1
keys:
0 _col2 (type: int)
1 _col0 (type: int)
outputColumnNames: _col0, _col1
input vertices:
1 Map 6
Statistics: Num rows: 24145061366 Data size: 193160490928 Basic stats: COMPLETE Column stats: COMPLETE
Map Join Operator
condition map:
Inner Join 0 to 1
condition expressions:
0 {_col1}
1 {_col1} {_col2} {_col3} {_col4} {_col5}
keys:
0 _col0 (type: int)
1 _col0 (type: int)
outputColumnNames: _col1, _col6, _col7, _col8, _col9, _col10
input vertices:
1 Map 5
Statistics: Num rows: 25381041158 Data size: 11929089344260 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col6 (type: string), _col7 (type: string), _col10 (type: string), _col9 (type: string), _col8 (type: float), _col1 (type: float)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
Statistics: Num rows: 25381041158 Data size: 11929089344260 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: sum(_col5)
keys: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: float)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
Statistics: Num rows: 119291 Data size: 954328 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: float)
sort order: +++++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: float)
Statistics: Num rows: 119291 Data size: 954328 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col5 (type: double)
Execution mode: vectorized
Map 5
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_category) IN ('Jewelry', 'Sports', 'Books') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663862160 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: ((i_category) IN ('Jewelry', 'Sports', 'Books') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 109491664 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string), i_item_desc (type: string), i_current_price (type: float), i_class (type: string), i_category (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
Statistics: Num rows: 231000 Data size: 109491664 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: 231000 Data size: 109491664 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: float), _col4 (type: string), _col5 (type: string)
Execution mode: vectorized
Map 6
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_date BETWEEN '2001-01-12' AND '2001-02-11' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
predicate: (d_date BETWEEN '2001-01-12' AND '2001-02-11' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 3579352 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
Statistics: Num rows: 36524 Data size: 146096 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: 36524 Data size: 146096 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col0 (type: int)
outputColumnNames: _col0
Statistics: Num rows: 36524 Data size: 0 Basic stats: PARTIAL Column stats: COMPLETE
Group By Operator
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 36524 Data size: 0 Basic stats: PARTIAL Column stats: COMPLETE
Dynamic Partitioning Event Operator
Target Input: web_sales
Partition key expr: ws_sold_date_sk
Statistics: Num rows: 36524 Data size: 0 Basic stats: PARTIAL Column stats: COMPLETE
Target column: ws_sold_date_sk
Target Vertex: Map 1
Execution mode: vectorized
Reducer 2
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: float)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
Statistics: Num rows: 119291 Data size: 1908656 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col3 (type: string), _col3 (type: string)
sort order: ++
Map-reduce partition columns: _col3 (type: string)
Statistics: Num rows: 119291 Data size: 1908656 Basic stats: COMPLETE Column stats: COMPLETE
value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: float), _col5 (type: double)
Execution mode: vectorized
Reducer 3
Reduce Operator Tree:
Extract
Statistics: Num rows: 119291 Data size: 1908656 Basic stats: COMPLETE Column stats: COMPLETE
PTF Operator
Statistics: Num rows: 119291 Data size: 1908656 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: float), _col0 (type: string), _col5 (type: double), ((_col5 * 100.0) / _wcol0) (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Statistics: Num rows: 119291 Data size: 954328 Basic stats: COMPLETE Column stats: COMPLETE
Reduce Output Operator
key expressions: _col1 (type: string), _col2 (type: string), _col4 (type: string), _col0 (type: string), _col6 (type: double)
sort order: +++++
Statistics: Num rows: 119291 Data size: 954328 Basic stats: COMPLETE Column stats: COMPLETE
TopN Hash Memory Usage: 0.04
value expressions: _col3 (type: float), _col5 (type: double)
Reducer 4
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey3 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: float), KEY.reducesinkkey2 (type: string), VALUE._col1 (type: double), KEY.reducesinkkey4 (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
Statistics: Num rows: 119291 Data size: 954328 Basic stats: COMPLETE Column stats: COMPLETE
Limit
Number of rows: 100
Statistics: Num rows: 100 Data size: 800 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
Statistics: Num rows: 100 Data size: 800 Basic stats: COMPLETE 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
Execution mode: vectorized
Stage: Stage-0
Fetch Operator
limit: 100
Processor Tree:
ListSink
Attachments
Attachments
Issue Links
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