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From "Pengcheng Xiong (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-8769) Physical optimizer : Incorrect CE results in a shuffle join instead of a Map join (PK/FK pattern not detected)
Date Sat, 23 May 2015 06:08:17 GMT

     [ https://issues.apache.org/jira/browse/HIVE-8769?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Pengcheng Xiong updated HIVE-8769:
----------------------------------
    Attachment: HIVE-8769.05.patch

[~jpullokkaran], according to your comments, I have rebased the patch.

> Physical optimizer : Incorrect CE results in a shuffle join instead of a Map join (PK/FK
pattern not detected)
> --------------------------------------------------------------------------------------------------------------
>
>                 Key: HIVE-8769
>                 URL: https://issues.apache.org/jira/browse/HIVE-8769
>             Project: Hive
>          Issue Type: Bug
>          Components: Physical Optimizer
>    Affects Versions: 0.14.0
>            Reporter: Mostafa Mokhtar
>            Assignee: Pengcheng Xiong
>         Attachments: HIVE-8769.01.patch, HIVE-8769.02.patch, HIVE-8769.03.patch, HIVE-8769.04.patch,
HIVE-8769.05.patch
>
>
> TPC-DS Q82 is running slower than hive 13 because the join type is not correct.
> The estimate for item x inventory x date_dim is 227 Million rows while the actual is
 3K rows.
> Hive 13 finishes in  753  seconds.
> Hive 14 finishes in  1,267  seconds.
> Hive 14 + force map join finished in 431 seconds.
> Query
> {code}
> select  i_item_id
>        ,i_item_desc
>        ,i_current_price
>  from item, inventory, date_dim, store_sales
>  where i_current_price between 30 and 30+30
>  and inv_item_sk = i_item_sk
>  and d_date_sk=inv_date_sk
>  and d_date between '2002-05-30' and '2002-07-30'
>  and i_manufact_id in (437,129,727,663)
>  and inv_quantity_on_hand between 100 and 500
>  and ss_item_sk = i_item_sk
>  group by i_item_id,i_item_desc,i_current_price
>  order by i_item_id
>  limit 100
> {code}
> Plan 
> {code}
> STAGE PLANS:
>   Stage: Stage-1
>     Tez
>       Edges:
>         Map 7 <- Map 1 (BROADCAST_EDGE), Map 2 (BROADCAST_EDGE)
>         Reducer 4 <- Map 3 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
>         Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
>         Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
>       DagName: mmokhtar_20141106005353_7a2eb8df-12ff-4fe9-89b4-30f1e4e3fb90:1
>       Vertices:
>         Map 1 
>             Map Operator Tree:
>                 TableScan
>                   alias: item
>                   filterExpr: ((i_current_price BETWEEN 30 AND 60 and (i_manufact_id)
IN (437, 129, 727, 663)) 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_current_price BETWEEN 30 AND 60 and (i_manufact_id)
IN (437, 129, 727, 663)) and i_item_sk is not null) (type: boolean)
>                     Statistics: Num rows: 115500 Data size: 34185680 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)
>                       outputColumnNames: _col0, _col1, _col2, _col3
>                       Statistics: Num rows: 115500 Data size: 33724832 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: 115500 Data size: 33724832 Basic stats:
COMPLETE Column stats: COMPLETE
>                         value expressions: _col1 (type: string), _col2 (type: string),
_col3 (type: float)
>             Execution mode: vectorized
>         Map 2 
>             Map Operator Tree:
>                 TableScan
>                   alias: date_dim
>                   filterExpr: (d_date BETWEEN '2002-05-30' AND '2002-07-30' 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 '2002-05-30' AND '2002-07-30' 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: 146096 Basic stats: COMPLETE
Column stats: COMPLETE
>                         Group By Operator
>                           keys: _col0 (type: int)
>                           mode: hash
>                           outputColumnNames: _col0
>                           Statistics: Num rows: 18262 Data size: 73048 Basic stats: COMPLETE
Column stats: COMPLETE
>                           Dynamic Partitioning Event Operator
>                             Target Input: inventory
>                             Partition key expr: inv_date_sk
>                             Statistics: Num rows: 18262 Data size: 73048 Basic stats:
COMPLETE Column stats: COMPLETE
>                             Target column: inv_date_sk
>                             Target Vertex: Map 7
>             Execution mode: vectorized
>         Map 3 
>             Map Operator Tree:
>                 TableScan
>                   alias: store_sales
>                   filterExpr: ss_item_sk is not null (type: boolean)
>                   Statistics: Num rows: 82510879939 Data size: 6873789738208 Basic stats:
COMPLETE Column stats: COMPLETE
>                   Filter Operator
>                     predicate: ss_item_sk is not null (type: boolean)
>                     Statistics: Num rows: 82510879939 Data size: 330043519756 Basic stats:
COMPLETE Column stats: COMPLETE
>                     Select Operator
>                       expressions: ss_item_sk (type: int)
>                       outputColumnNames: _col0
>                       Statistics: Num rows: 82510879939 Data size: 330043519756 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: 82510879939 Data size: 330043519756 Basic
stats: COMPLETE Column stats: COMPLETE
>             Execution mode: vectorized
>         Map 7 
>             Map Operator Tree:
>                 TableScan
>                   alias: inventory
>                   filterExpr: (inv_quantity_on_hand BETWEEN 100 AND 500 and inv_item_sk
is not null) (type: boolean)
>                   Statistics: Num rows: 1,627,857,000 Data size: 19208695084 Basic stats:
COMPLETE Column stats: COMPLETE
>                   Filter Operator
>                     predicate: (inv_quantity_on_hand BETWEEN 100 AND 500 and inv_item_sk
is not null) (type: boolean)
>                     Statistics: Num rows: 813,928,500 Data size: 9604347540 Basic stats:
COMPLETE Column stats: COMPLETE
>                     Select Operator
>                       expressions: inv_item_sk (type: int), inv_date_sk (type: int)
>                       outputColumnNames: _col0, _col2
>                       Statistics: Num rows: 813,928,500 Data size: 6511428000 Basic stats:
COMPLETE Column stats: COMPLETE
>                       Map Join Operator
>                         condition map:
>                              Inner Join 0 to 1
>                         condition expressions:
>                           0 {_col2}
>                           1 {_col0} {_col1} {_col2} {_col3}
>                         keys:
>                           0 _col0 (type: int)
>                           1 _col0 (type: int)
>                         outputColumnNames: _col2, _col3, _col4, _col5, _col6
>                         input vertices:
>                           1 Map 1
>                         Statistics: Num rows: 203,482,128 Data size: 59416781376 Basic
stats: COMPLETE Column stats: COMPLETE
>                         Map Join Operator
>                           condition map:
>                                Inner Join 0 to 1
>                           condition expressions:
>                             0 {_col3} {_col4} {_col5} {_col6}
>                             1 
>                           keys:
>                             0 _col2 (type: int)
>                             1 _col0 (type: int)
>                           outputColumnNames: _col3, _col4, _col5, _col6
>                           input vertices:
>                             1 Map 2
>                           Statistics: Num rows: 227,514,273 Data size: 66434167716 Basic
stats: COMPLETE Column stats: COMPLETE
>                           Select Operator
>                             expressions: _col3 (type: int), _col4 (type: string), _col5
(type: string), _col6 (type: float)
>                             outputColumnNames: _col3, _col4, _col5, _col6
>                             Statistics: Num rows: 227514273 Data size: 66434167716 Basic
stats: COMPLETE Column stats: COMPLETE
>                             Reduce Output Operator
>                               key expressions: _col3 (type: int)
>                               sort order: +
>                               Map-reduce partition columns: _col3 (type: int)
>                               Statistics: Num rows: 227514273 Data size: 66434167716
Basic stats: COMPLETE Column stats: COMPLETE
>                               value expressions: _col4 (type: string), _col5 (type: string),
_col6 (type: float)
>             Execution mode: vectorized
>         Reducer 4 
>             Reduce Operator Tree:
>               Merge Join Operator
>                 condition map:
>                      Inner Join 0 to 1
>                 condition expressions:
>                   0 
>                   1 {VALUE._col3} {VALUE._col4} {VALUE._col5}
>                 outputColumnNames: _col5, _col6, _col7
>                 Statistics: Num rows: 5156859392 Data size: 1485175504896 Basic stats:
COMPLETE Column stats: COMPLETE
>                 Select Operator
>                   expressions: _col5 (type: string), _col6 (type: string), _col7 (type:
float)
>                   outputColumnNames: _col0, _col1, _col2
>                   Statistics: Num rows: 5156859392 Data size: 1485175504896 Basic stats:
COMPLETE Column stats: COMPLETE
>                   Group By Operator
>                     keys: _col0 (type: string), _col1 (type: string), _col2 (type: float)
>                     mode: hash
>                     outputColumnNames: _col0, _col1, _col2
>                     Statistics: Num rows: 5156859392 Data size: 1485175504896 Basic stats:
COMPLETE Column stats: COMPLETE
>                     Reduce Output Operator
>                       key expressions: _col0 (type: string), _col1 (type: string), _col2
(type: float)
>                       sort order: +++
>                       Map-reduce partition columns: _col0 (type: string), _col1 (type:
string), _col2 (type: float)
>                       Statistics: Num rows: 5156859392 Data size: 1485175504896 Basic
stats: COMPLETE Column stats: COMPLETE
>         Reducer 5 
>             Reduce Operator Tree:
>               Group By Operator
>                 keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type:
float)
>                 mode: mergepartial
>                 outputColumnNames: _col0, _col1, _col2
>                 Statistics: Num rows: 5156859392 Data size: 1485175504896 Basic stats:
COMPLETE Column stats: COMPLETE
>                 Select Operator
>                   expressions: _col0 (type: string), _col1 (type: string), _col2 (type:
float)
>                   outputColumnNames: _col0, _col1, _col2
>                   Statistics: Num rows: 5156859392 Data size: 1485175504896 Basic stats:
COMPLETE Column stats: COMPLETE
>                   Reduce Output Operator
>                     key expressions: _col0 (type: string)
>                     sort order: +
>                     Statistics: Num rows: 5156859392 Data size: 1485175504896 Basic stats:
COMPLETE Column stats: COMPLETE
>                     TopN Hash Memory Usage: 0.04
>                     value expressions: _col1 (type: string), _col2 (type: float)
>             Execution mode: vectorized
>         Reducer 6 
>             Reduce Operator Tree:
>               Select Operator
>                 expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string),
VALUE._col1 (type: float)
>                 outputColumnNames: _col0, _col1, _col2
>                 Statistics: Num rows: 5156859392 Data size: 1485175504896 Basic stats:
COMPLETE Column stats: COMPLETE
>                 Limit
>                   Number of rows: 100
>                   Statistics: Num rows: 100 Data size: 28800 Basic stats: COMPLETE Column
stats: COMPLETE
>                   File Output Operator
>                     compressed: false
>                     Statistics: Num rows: 100 Data size: 28800 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
> {code}
> Actual rows counts 
> {code}
> VERTICES         TOTAL_TASKS  FAILED_ATTEMPTS KILLED_TASKS DURATION_SECONDS    CPU_TIME_MILLIS
    GC_TIME_MILLIS  INPUT_RECORDS   OUTPUT_RECORDS 
> Map 1                      1                0            0             1.01         
    1,280                  0        462,000               65
> Map 2                      1                0            0             0.41         
      400                 23         10,000               62
> Map 3                   2574                0            0           947.79        442,220,640
         1,887,714 82,510,879,939   82,510,879,939
> Map 7                      9                0            0           869.22         
   42,490              1,215     56,133,127            3,081
> Reducer 4               1009                0            0           389.75         69,471,510
         1,149,529 82,510,883,020               33
> Reducer 5                253                0            0            93.73         
  938,930             26,150             33               33
> Reducer 6                  1                0            0             2.08         
      730                 10             33               33
> {code}



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