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From "Mostafa Mokhtar (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-7914) Simplify join predicates for CBO to avoid cross products
Date Wed, 15 Oct 2014 18:34:34 GMT

    [ https://issues.apache.org/jira/browse/HIVE-7914?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14172736#comment-14172736
] 

Mostafa Mokhtar commented on HIVE-7914:
---------------------------------------

Issue resolved 
{code}

STAGE DEPENDENCIES:
  Stage-1 is a root stage
  Stage-0 depends on stages: Stage-1

STAGE PLANS:
  Stage: Stage-1
    Tez
      Edges:
        Map 4 <- Map 1 (BROADCAST_EDGE), Map 2 (BROADCAST_EDGE), Map 3 (BROADCAST_EDGE),
Map 6 (BROADCAST_EDGE), Map 7 (BROADCAST_EDGE)
        Reducer 5 <- Map 4 (SIMPLE_EDGE)
      DagName: mmokhtar_20141015124444_452c339a-3fa1-4ae4-99ed-0fb052342532:1
      Vertices:
        Map 1 
            Map Operator Tree:
                TableScan
                  alias: household_demographics
                  filterExpr: hd_demo_sk is not null (type: boolean)
                  Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column
stats: COMPLETE
                  Filter Operator
                    predicate: hd_demo_sk is not null (type: boolean)
                    Statistics: Num rows: 7200 Data size: 57600 Basic stats: COMPLETE Column
stats: COMPLETE
                    Select Operator
                      expressions: hd_demo_sk (type: int), hd_dep_count (type: int)
                      outputColumnNames: _col0, _col1
                      Statistics: Num rows: 7200 Data size: 57600 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: 7200 Data size: 57600 Basic stats: COMPLETE
Column stats: COMPLETE
                        value expressions: _col1 (type: int)
            Execution mode: vectorized
        Map 2 
            Map Operator Tree:
                TableScan
                  alias: customer_address
                  filterExpr: ((ca_country = 'United States') and ca_address_sk is not null)
(type: boolean)
                  Statistics: Num rows: 800000 Data size: 811903688 Basic stats: COMPLETE
Column stats: COMPLETE
                  Filter Operator
                    predicate: ((ca_country = 'United States') and ca_address_sk is not null)
(type: boolean)
                    Statistics: Num rows: 400000 Data size: 74800000 Basic stats: COMPLETE
Column stats: COMPLETE
                    Select Operator
                      expressions: ca_address_sk (type: int), ca_state (type: string)
                      outputColumnNames: _col0, _col1
                      Statistics: Num rows: 400000 Data size: 36000000 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: 400000 Data size: 36000000 Basic stats: COMPLETE
Column stats: COMPLETE
                        value expressions: _col1 (type: string)
            Execution mode: vectorized
        Map 3 
            Map Operator Tree:
                TableScan
                  alias: date_dim
                  filterExpr: ((d_year = 2001) 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_year = 2001) and d_date_sk is not null) (type: boolean)
                    Statistics: Num rows: 652 Data size: 5216 Basic stats: COMPLETE Column
stats: COMPLETE
                    Select Operator
                      expressions: d_date_sk (type: int)
                      outputColumnNames: _col0
                      Statistics: Num rows: 652 Data size: 2608 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: 652 Data size: 2608 Basic stats: COMPLETE Column
stats: COMPLETE
                      Select Operator
                        expressions: _col0 (type: int)
                        outputColumnNames: _col0
                        Statistics: Num rows: 652 Data size: 0 Basic stats: PARTIAL Column
stats: COMPLETE
                        Group By Operator
                          keys: _col0 (type: int)
                          mode: hash
                          outputColumnNames: _col0
                          Statistics: Num rows: 652 Data size: 0 Basic stats: PARTIAL Column
stats: COMPLETE
                          Dynamic Partitioning Event Operator
                            Target Input: store_sales
                            Partition key expr: ss_sold_date_sk
                            Statistics: Num rows: 652 Data size: 0 Basic stats: PARTIAL Column
stats: COMPLETE
                            Target column: ss_sold_date_sk
                            Target Vertex: Map 4
            Execution mode: vectorized
        Map 4 
            Map Operator Tree:
                TableScan
                  alias: store_sales
                  filterExpr: (((ss_hdemo_sk is not null and ss_store_sk is not null) and
ss_cdemo_sk is not null) and ss_addr_sk is not null) (type: boolean)
                  Statistics: Num rows: 550076554 Data size: 47370018896 Basic stats: COMPLETE
Column stats: COMPLETE
                  Filter Operator
                    predicate: (((ss_hdemo_sk is not null and ss_store_sk is not null) and
ss_cdemo_sk is not null) and ss_addr_sk is not null) (type: boolean)
                    Statistics: Num rows: 500049144 Data size: 17577702756 Basic stats: COMPLETE
Column stats: COMPLETE
                    Select Operator
                      expressions: ss_cdemo_sk (type: int), ss_hdemo_sk (type: int), ss_addr_sk
(type: int), ss_store_sk (type: int), ss_quantity (type: int), ss_sales_price (type: float),
ss_ext_sales_price (type: float), ss_ext_wholesale_cost (type: float), ss_net_profit (type:
float), ss_sold_date_sk (type: int)
                      outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6,
_col7, _col8, _col9
                      Statistics: Num rows: 500049144 Data size: 19577899332 Basic stats:
COMPLETE Column stats: COMPLETE
                      Map Join Operator
                        condition map:
                             Inner Join 0 to 1
                        condition expressions:
                          0 {_col0} {_col2} {_col3} {_col4} {_col5} {_col6} {_col7} {_col8}
{_col9}
                          1 {_col1}
                        keys:
                          0 _col1 (type: int)
                          1 _col0 (type: int)
                        outputColumnNames: _col0, _col2, _col3, _col4, _col5, _col6, _col7,
_col8, _col9, _col11
                        input vertices:
                          1 Map 1
                        Statistics: Num rows: 387176453 Data size: 13938352308 Basic stats:
COMPLETE Column stats: COMPLETE
                        Map Join Operator
                          condition map:
                               Inner Join 0 to 1
                          condition expressions:
                            0 {_col0} {_col2} {_col4} {_col5} {_col6} {_col7} {_col8} {_col9}
{_col11}
                            1 
                          keys:
                            0 _col3 (type: int)
                            1 _col0 (type: int)
                          outputColumnNames: _col0, _col2, _col4, _col5, _col6, _col7, _col8,
_col9, _col11
                          input vertices:
                            1 Map 7
                          Statistics: Num rows: 477217488 Data size: 15270959616 Basic stats:
COMPLETE Column stats: COMPLETE
                          Map Join Operator
                            condition map:
                                 Inner Join 0 to 1
                            condition expressions:
                              0 {_col2} {_col4} {_col5} {_col6} {_col7} {_col8} {_col9} {_col11}
                              1 {_col1} {_col2}
                            keys:
                              0 _col0 (type: int)
                              1 _col0 (type: int)
                            outputColumnNames: _col2, _col4, _col5, _col6, _col7, _col8, _col9,
_col11, _col14, _col15
                            input vertices:
                              1 Map 6
                            Statistics: Num rows: 499302689 Data size: 103355656623 Basic
stats: COMPLETE Column stats: COMPLETE
                            Filter Operator
                              predicate: (((_col14 = 'M') and ((_col15 = '4 yr Degree') and
(_col5 BETWEEN 100.0 AND 150.0 and (_col11 = 3)))) or (((_col14 = 'D') and ((_col15 = 'Primary')
and (_col5 BETWEEN 50.0 AND 100.0 and (_col11 = 1)))) or ((_col14 = 'U') and ((_col15 = 'Advanced
Degree') and (_col5 BETWEEN 150.0 AND 200.0 and (_col11 = 1)))))) (type: boolean)
                              Statistics: Num rows: 53496714 Data size: 11073819798 Basic
stats: COMPLETE Column stats: COMPLETE
                              Select Operator
                                expressions: _col2 (type: int), _col4 (type: int), _col6 (type:
float), _col7 (type: float), _col8 (type: float), _col9 (type: int)
                                outputColumnNames: _col2, _col4, _col6, _col7, _col8, _col9
                                Statistics: Num rows: 53496714 Data size: 1069934280 Basic
stats: COMPLETE Column stats: COMPLETE
                                Map Join Operator
                                  condition map:
                                       Inner Join 0 to 1
                                  condition expressions:
                                    0 {_col4} {_col6} {_col7} {_col8} {_col9}
                                    1 {_col1}
                                  keys:
                                    0 _col2 (type: int)
                                    1 _col0 (type: int)
                                  outputColumnNames: _col4, _col6, _col7, _col8, _col9, _col17
                                  input vertices:
                                    1 Map 2
                                  Statistics: Num rows: 60464319 Data size: 6409217814 Basic
stats: COMPLETE Column stats: COMPLETE
                                  Filter Operator
                                    predicate: (((_col17) IN ('KY', 'GA', 'NM') and _col8
BETWEEN 100 AND 200) or (((_col17) IN ('MT', 'OR', 'IN') and _col8 BETWEEN 150 AND 300) or
((_col17) IN ('WI', 'MO', 'WV') and _col8 BETWEEN 50 AND 250))) (type: boolean)
                                    Statistics: Num rows: 45348237 Data size: 4806913122 Basic
stats: COMPLETE Column stats: COMPLETE
                                    Select Operator
                                      expressions: _col4 (type: int), _col6 (type: float),
_col7 (type: float), _col9 (type: int)
                                      outputColumnNames: _col4, _col6, _col7, _col9
                                      Statistics: Num rows: 45348237 Data size: 725571792
Basic stats: COMPLETE Column stats: COMPLETE
                                      Map Join Operator
                                        condition map:
                                             Inner Join 0 to 1
                                        condition expressions:
                                          0 {_col4} {_col6} {_col7}
                                          1 
                                        keys:
                                          0 _col9 (type: int)
                                          1 _col0 (type: int)
                                        outputColumnNames: _col4, _col6, _col7
                                        input vertices:
                                          1 Map 3
                                        Statistics: Num rows: 50628511 Data size: 607542132
Basic stats: COMPLETE Column stats: COMPLETE
                                        Select Operator
                                          expressions: _col4 (type: int), _col6 (type: float),
_col7 (type: float)
                                          outputColumnNames: _col0, _col1, _col2
                                          Statistics: Num rows: 50628511 Data size: 607542132
Basic stats: COMPLETE Column stats: COMPLETE
                                          Group By Operator
                                            aggregations: avg(_col0), avg(_col1), avg(_col2),
sum(_col2)
                                            mode: hash
                                            outputColumnNames: _col0, _col1, _col2, _col3
                                            Statistics: Num rows: 1 Data size: 8 Basic stats:
COMPLETE Column stats: COMPLETE
                                            Reduce Output Operator
                                              sort order: 
                                              Statistics: Num rows: 1 Data size: 8 Basic stats:
COMPLETE Column stats: COMPLETE
                                              value expressions: _col0 (type: struct<count:bigint,sum:double,input:int>),
_col1 (type: struct<count:bigint,sum:double,input:float>), _col2 (type: struct<count:bigint,sum:double,input:float>),
_col3 (type: double)
            Execution mode: vectorized
        Map 6 
            Map Operator Tree:
                TableScan
                  alias: customer_demographics
                  filterExpr: cd_demo_sk is not null (type: boolean)
                  Statistics: Num rows: 1920800 Data size: 718379200 Basic stats: COMPLETE
Column stats: COMPLETE
                  Filter Operator
                    predicate: cd_demo_sk is not null (type: boolean)
                    Statistics: Num rows: 1920800 Data size: 351506400 Basic stats: COMPLETE
Column stats: COMPLETE
                    Select Operator
                      expressions: cd_demo_sk (type: int), cd_marital_status (type: string),
cd_education_status (type: string)
                      outputColumnNames: _col0, _col1, _col2
                      Statistics: Num rows: 1920800 Data size: 351506400 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: 1920800 Data size: 351506400 Basic stats: COMPLETE
Column stats: COMPLETE
                        value expressions: _col1 (type: string), _col2 (type: string)
            Execution mode: vectorized
        Map 7 
            Map Operator Tree:
                TableScan
                  alias: store
                  filterExpr: s_store_sk is not null (type: boolean)
                  Statistics: Num rows: 212 Data size: 405680 Basic stats: COMPLETE Column
stats: COMPLETE
                  Filter Operator
                    predicate: s_store_sk is not null (type: boolean)
                    Statistics: Num rows: 212 Data size: 848 Basic stats: COMPLETE Column
stats: COMPLETE
                    Select Operator
                      expressions: s_store_sk (type: int)
                      outputColumnNames: _col0
                      Statistics: Num rows: 212 Data size: 848 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: 212 Data size: 848 Basic stats: COMPLETE Column
stats: COMPLETE
            Execution mode: vectorized
        Reducer 5 
            Reduce Operator Tree:
              Group By Operator
                aggregations: avg(VALUE._col0), avg(VALUE._col1), avg(VALUE._col2), sum(VALUE._col3)
                mode: mergepartial
                outputColumnNames: _col0, _col1, _col2, _col3
                Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats:
COMPLETE
                Select Operator
                  expressions: _col0 (type: double), _col1 (type: double), _col2 (type: double),
_col3 (type: double)
                  outputColumnNames: _col0, _col1, _col2, _col3
                  Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats:
COMPLETE
                  File Output Operator
                    compressed: false
                    Statistics: Num rows: 1 Data size: 32 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

  Stage: Stage-0
    Fetch Operator
      limit: -1
      Processor Tree:
        ListSink
{code}

> Simplify join predicates for CBO to avoid cross products
> --------------------------------------------------------
>
>                 Key: HIVE-7914
>                 URL: https://issues.apache.org/jira/browse/HIVE-7914
>             Project: Hive
>          Issue Type: Bug
>          Components: CBO
>    Affects Versions: 0.13.1
>            Reporter: Mostafa Mokhtar
>            Assignee: Laljo John Pullokkaran
>             Fix For: 0.15.0
>
>         Attachments: HIVE-7914.patch
>
>
> Simplify join predicates for disjunctive predicates to avoid cross products.
> For TPC-DS query 13 we generate a cross products.
> The join predicate on (store_sales x customer_demographics) ,  (store_sales x household_demographics)
and (store_sales x customer_address) can be pull up to avoid the cross products
> {code}
> select avg(ss_quantity)
>        ,avg(ss_ext_sales_price)
>        ,avg(ss_ext_wholesale_cost)
>        ,sum(ss_ext_wholesale_cost)
>  from store_sales
>      ,store
>      ,customer_demographics
>      ,household_demographics
>      ,customer_address
>      ,date_dim
>  where store.s_store_sk = store_sales.ss_store_sk
>  and  store_sales.ss_sold_date_sk = date_dim.d_date_sk and date_dim.d_year = 2001
>  and((store_sales.ss_hdemo_sk=household_demographics.hd_demo_sk
>   and customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk
>   and customer_demographics.cd_marital_status = 'M'
>   and customer_demographics.cd_education_status = '4 yr Degree'
>   and store_sales.ss_sales_price between 100.00 and 150.00
>   and household_demographics.hd_dep_count = 3   
>      )or
>      (store_sales.ss_hdemo_sk=household_demographics.hd_demo_sk
>   and customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk
>   and customer_demographics.cd_marital_status = 'D'
>   and customer_demographics.cd_education_status = 'Primary'
>   and store_sales.ss_sales_price between 50.00 and 100.00   
>   and household_demographics.hd_dep_count = 1
>      ) or 
>      (store_sales.ss_hdemo_sk=household_demographics.hd_demo_sk
>   and customer_demographics.cd_demo_sk = ss_cdemo_sk
>   and customer_demographics.cd_marital_status = 'U'
>   and customer_demographics.cd_education_status = 'Advanced Degree'
>   and store_sales.ss_sales_price between 150.00 and 200.00 
>   and household_demographics.hd_dep_count = 1  
>      ))
>  and((store_sales.ss_addr_sk = customer_address.ca_address_sk
>   and customer_address.ca_country = 'United States'
>   and customer_address.ca_state in ('KY', 'GA', 'NM')
>   and store_sales.ss_net_profit between 100 and 200  
>      ) or
>      (store_sales.ss_addr_sk = customer_address.ca_address_sk
>   and customer_address.ca_country = 'United States'
>   and customer_address.ca_state in ('MT', 'OR', 'IN')
>   and store_sales.ss_net_profit between 150 and 300  
>      ) or
>      (store_sales.ss_addr_sk = customer_address.ca_address_sk
>   and customer_address.ca_country = 'United States'
>   and customer_address.ca_state in ('WI', 'MO', 'WV')
>   and store_sales.ss_net_profit between 50 and 250  
>      ))
> ;
> {code}
> This is the plan currently generated without any predicate simplification 
> {code}
> Warning: Map Join MAPJOIN[59][bigTable=?] in task 'Map 8' is a cross product
> Warning: Map Join MAPJOIN[58][bigTable=?] in task 'Map 8' is a cross product
> Warning: Shuffle Join JOIN[29][tables = [$hdt$_5, $hdt$_6]] in Stage 'Reducer 2' is a
cross product
> OK
> STAGE DEPENDENCIES:
>   Stage-1 is a root stage
>   Stage-0 depends on stages: Stage-1
> STAGE PLANS:
>   Stage: Stage-1
>     Tez
>       Edges:
>         Map 7 <- Map 8 (BROADCAST_EDGE)
>         Map 8 <- Map 5 (BROADCAST_EDGE), Map 6 (BROADCAST_EDGE)
>         Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 4 (BROADCAST_EDGE), Map 7 (SIMPLE_EDGE)
>         Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
>       DagName: mmokhtar_20140828155050_7059c24b-501b-4683-86c0-4f3c023f0b0e:1
>       Vertices:
>         Map 1 
>             Map Operator Tree:
>                 TableScan
>                   alias: customer_address
>                   Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats:
COMPLETE Column stats: NONE
>                   Select Operator
>                     expressions: ca_address_sk (type: int), ca_state (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
>                       sort order: 
>                       Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats:
COMPLETE Column stats: NONE
>                       value expressions: _col0 (type: int), _col1 (type: string), _col2
(type: string)
>             Execution mode: vectorized
>         Map 4 
>             Map Operator Tree:
>                 TableScan
>                   alias: date_dim
>                   filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
>                   Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE
Column stats: NONE
>                   Filter Operator
>                     predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
>                     Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE
Column stats: NONE
>                     Select Operator
>                       expressions: d_date_sk (type: int)
>                       outputColumnNames: _col0
>                       Statistics: Num rows: 18262 Data size: 20435178 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: 18262 Data size: 20435178 Basic stats:
COMPLETE Column stats: NONE
>             Execution mode: vectorized
>         Map 5 
>             Map Operator Tree:
>                 TableScan
>                   alias: household_demographics
>                   Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE
Column stats: NONE
>                   Select Operator
>                     expressions: hd_demo_sk (type: int), hd_dep_count (type: int)
>                     outputColumnNames: _col0, _col1
>                     Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE
Column stats: NONE
>                     Reduce Output Operator
>                       sort order: 
>                       Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE
Column stats: NONE
>                       value expressions: _col0 (type: int), _col1 (type: int)
>             Execution mode: vectorized
>         Map 6 
>             Map Operator Tree:
>                 TableScan
>                   alias: store
>                   filterExpr: (true and s_store_sk is not null) (type: boolean)
>                   Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE
Column stats: NONE
>                   Filter Operator
>                     predicate: s_store_sk is not null (type: boolean)
>                     Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE
Column stats: NONE
>                     Select Operator
>                       expressions: s_store_sk (type: int)
>                       outputColumnNames: _col0
>                       Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE
Column stats: NONE
>                       Reduce Output Operator
>                         sort order: 
>                         Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE
Column stats: NONE
>                         value expressions: _col0 (type: int)
>             Execution mode: vectorized
>         Map 7 
>             Map Operator Tree:
>                 TableScan
>                   alias: store_sales
>                   filterExpr: (ss_store_sk is not null and ss_sold_date_sk is not null)
(type: boolean)
>                   Statistics: Num rows: 82510879939 Data size: 7203833257964 Basic stats:
COMPLETE Column stats: NONE
>                   Filter Operator
>                     predicate: (ss_store_sk is not null and ss_sold_date_sk is not null)
(type: boolean)
>                     Statistics: Num rows: 20627719985 Data size: 1800958314512 Basic
stats: COMPLETE Column stats: NONE
>                     Select Operator
>                       expressions: ss_sold_date_sk (type: int), ss_cdemo_sk (type: int),
ss_hdemo_sk (type: int), ss_addr_sk (type: int), ss_store_sk (type: int), ss_quantity (type:
int), ss_sales_price (type: float), ss_ext_sales_price (type: float), ss_ext_wholesale_cost
(type: float), ss_net_profit (type: float)
>                       outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6,
_col7, _col8, _col9
>                       Statistics: Num rows: 20627719985 Data size: 1800958314512 Basic
stats: COMPLETE Column stats: NONE
>                       Map Join Operator
>                         condition map:
>                              Inner Join 0 to 1
>                         condition expressions:
>                           0 {_col0} {_col1} {_col2} {_col4} {_col5}
>                           1 {_col0} {_col1} {_col2} {_col3} {_col5} {_col6} {_col7} {_col8}
{_col9}
>                         keys:
>                           0 _col3 (type: int)
>                           1 _col4 (type: int)
>                         outputColumnNames: _col0, _col1, _col2, _col4, _col5, _col6,
_col7, _col8, _col9, _col11, _col12, _col13, _col14, _col15
>                         input vertices:
>                           0 Map 8
>                         Statistics: Num rows: 22690492416 Data size: 1981054320640 Basic
stats: COMPLETE Column stats: NONE
>                         Filter Operator
>                           predicate: (((_col8 = _col4) and ((_col0 = _col7) and ((_col1
= 'M') and ((_col2 = '4 yr Degree') and (_col12 BETWEEN 100 AND 150 and (_col5 = 3)))))) or
(((_col8 = _col4) and ((_col0 = _col7) and ((_col1 = 'D') and ((_col2 = 'Primary') and (_col12
BETWEEN 50 AND 100 and (_col5 = 1)))))) or ((_col8 = _col4) and ((_col0 = _col7) and ((_col1
= 'U') and ((_col2 = 'Advanced Degree') and (_col12 BETWEEN 150 AND 200 and (_col5 = 1))))))))
(type: boolean)
>                           Statistics: Num rows: 1063616832 Data size: 92861921280 Basic
stats: COMPLETE Column stats: NONE
>                           Select Operator
>                             expressions: _col6 (type: int), _col9 (type: int), _col11
(type: int), _col13 (type: float), _col14 (type: float), _col15 (type: float)
>                             outputColumnNames: _col0, _col3, _col5, _col7, _col8, _col9
>                             Statistics: Num rows: 1063616832 Data size: 92861921280 Basic
stats: COMPLETE Column stats: NONE
>                             Reduce Output Operator
>                               sort order: 
>                               Statistics: Num rows: 1063616832 Data size: 92861921280
Basic stats: COMPLETE Column stats: NONE
>                               value expressions: _col0 (type: int), _col3 (type: int),
_col5 (type: int), _col7 (type: float), _col8 (type: float), _col9 (type: float)
>             Execution mode: vectorized
>         Map 8 
>             Map Operator Tree:
>                 TableScan
>                   alias: customer_demographics
>                   Statistics: Num rows: 1920800 Data size: 718379200 Basic stats: COMPLETE
Column stats: NONE
>                   Select Operator
>                     expressions: cd_demo_sk (type: int), cd_marital_status (type: string),
cd_education_status (type: string)
>                     outputColumnNames: _col0, _col1, _col2
>                     Statistics: Num rows: 1920800 Data size: 718379200 Basic stats: COMPLETE
Column stats: NONE
>                     Map Join Operator
>                       condition map:
>                            Inner Join 0 to 1
>                       condition expressions:
>                         0 {_col0} {_col1} {_col2}
>                         1 {_col0}
>                       keys:
>                         0 
>                         1 
>                       outputColumnNames: _col0, _col1, _col2, _col3
>                       input vertices:
>                         1 Map 6
>                       Statistics: Num rows: 2112880 Data size: 790217152 Basic stats:
COMPLETE Column stats: NONE
>                       Map Join Operator
>                         condition map:
>                              Inner Join 0 to 1
>                         condition expressions:
>                           0 {_col0} {_col1} {_col2} {_col3}
>                           1 {_col0} {_col1}
>                         keys:
>                           0 
>                           1 
>                         outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
>                         input vertices:
>                           1 Map 5
>                         Statistics: Num rows: 2324168 Data size: 869238912 Basic stats:
COMPLETE Column stats: NONE
>                         Reduce Output Operator
>                           key expressions: _col3 (type: int)
>                           sort order: +
>                           Map-reduce partition columns: _col3 (type: int)
>                           Statistics: Num rows: 2324168 Data size: 869238912 Basic stats:
COMPLETE Column stats: NONE
>                           value expressions: _col0 (type: int), _col1 (type: string),
_col2 (type: string), _col4 (type: int), _col5 (type: int)
>             Execution mode: vectorized
>         Reducer 2 
>             Reduce Operator Tree:
>               Join Operator
>                 condition map:
>                      Inner Join 0 to 1
>                 condition expressions:
>                   0 {VALUE._col0} {VALUE._col3} {VALUE._col5} {VALUE._col7} {VALUE._col8}
{VALUE._col9}
>                   1 {VALUE._col0} {VALUE._col1} {VALUE._col2}
>                 outputColumnNames: _col0, _col3, _col5, _col7, _col8, _col9, _col16,
_col17, _col18
>                 Statistics: Num rows: 1169978496 Data size: 102148120576 Basic stats:
COMPLETE Column stats: NONE
>                 Filter Operator
>                   predicate: (((_col3 = _col16) and ((_col18 = 'United States') and ((_col17)
IN ('KY', 'GA', 'NM') and _col9 BETWEEN 100 AND 200))) or (((_col3 = _col16) and ((_col18
= 'United States') and ((_col17) IN ('MT', 'OR', 'IN') and _col9 BETWEEN 150 AND 300))) or
((_col3 = _col16) and ((_col18 = 'United States') and ((_col17) IN ('WI', 'MO', 'WV') and
_col9 BETWEEN 50 AND 250))))) (type: boolean)
>                   Statistics: Num rows: 219370968 Data size: 19152772608 Basic stats:
COMPLETE Column stats: NONE
>                   Select Operator
>                     expressions: _col0 (type: int), _col5 (type: int), _col7 (type: float),
_col8 (type: float)
>                     outputColumnNames: _col0, _col5, _col7, _col8
>                     Statistics: Num rows: 219370968 Data size: 19152772608 Basic stats:
COMPLETE Column stats: NONE
>                     Map Join Operator
>                       condition map:
>                            Inner Join 0 to 1
>                       condition expressions:
>                         0 {_col5} {_col7} {_col8}
>                         1 
>                       keys:
>                         0 _col0 (type: int)
>                         1 _col0 (type: int)
>                       outputColumnNames: _col5, _col7, _col8
>                       input vertices:
>                         1 Map 4
>                       Statistics: Num rows: 241308080 Data size: 21068050432 Basic stats:
COMPLETE Column stats: NONE
>                       Select Operator
>                         expressions: _col5 (type: int), _col7 (type: float), _col8 (type:
float)
>                         outputColumnNames: _col0, _col1, _col2
>                         Statistics: Num rows: 241308080 Data size: 21068050432 Basic
stats: COMPLETE Column stats: NONE
>                         Group By Operator
>                           aggregations: avg(_col0), avg(_col1), avg(_col2), sum(_col2)
>                           mode: hash
>                           outputColumnNames: _col0, _col1, _col2, _col3
>                           Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE
Column stats: NONE
>                           Reduce Output Operator
>                             sort order: 
>                             Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE
Column stats: NONE
>                             value expressions: _col0 (type: struct<count:bigint,sum:double,input:int>),
_col1 (type: struct<count:bigint,sum:double,input:float>), _col2 (type: struct<count:bigint,sum:double,input:float>),
_col3 (type: double)
>         Reducer 3 
>             Reduce Operator Tree:
>               Group By Operator
>                 aggregations: avg(VALUE._col0), avg(VALUE._col1), avg(VALUE._col2), sum(VALUE._col3)
>                 mode: mergepartial
>                 outputColumnNames: _col0, _col1, _col2, _col3
>                 Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats:
NONE
>                 Select Operator
>                   expressions: _col0 (type: double), _col1 (type: double), _col2 (type:
double), _col3 (type: double)
>                   outputColumnNames: _col0, _col1, _col2, _col3
>                   Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column
stats: NONE
>                   File Output Operator
>                     compressed: false
>                     Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column
stats: NONE
>                     table:
>                         input format: org.apache.hadoop.mapred.TextInputFormat
>                         output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
>                         serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
>   Stage: Stage-0
>     Fetch Operator
>       limit: -1
>       Processor Tree:
>         ListSink
> Time taken: 7.681 seconds, Fetched: 227 row(s)
> {code}



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