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Mostafa Mokhtar commented on HIVE-10609: ---------------------------------------- I think the hint from the exception is that we are mixing a string with a double column. [~mmccline] Can you provide a patch which prints out the column IDs or such so that we can narrow this down? > Vectorization : Q64 fails with ClassCastException > ------------------------------------------------- > > Key: HIVE-10609 > URL: https://issues.apache.org/jira/browse/HIVE-10609 > Project: Hive > Issue Type: Bug > Components: Vectorization > Affects Versions: 1.2.0 > Reporter: Mostafa Mokhtar > Assignee: Matt McCline > > TPC-DS Q64 fails with ClassCastException. > Query > {code} > select cs1.product_name ,cs1.store_name ,cs1.store_zip ,cs1.b_street_number > ,cs1.b_streen_name ,cs1.b_city > ,cs1.b_zip ,cs1.c_street_number ,cs1.c_street_name ,cs1.c_city > ,cs1.c_zip ,cs1.syear ,cs1.cnt > ,cs1.s1 ,cs1.s2 ,cs1.s3 > ,cs2.s1 ,cs2.s2 ,cs2.s3 ,cs2.syear ,cs2.cnt > from > (select i_product_name as product_name ,i_item_sk as item_sk ,s_store_name as > store_name > ,s_zip as store_zip ,ad1.ca_street_number as b_street_number > ,ad1.ca_street_name as b_streen_name > ,ad1.ca_city as b_city ,ad1.ca_zip as b_zip ,ad2.ca_street_number as > c_street_number > ,ad2.ca_street_name as c_street_name ,ad2.ca_city as c_city ,ad2.ca_zip > as c_zip > ,d1.d_year as syear ,d2.d_year as fsyear ,d3.d_year as s2year ,count(*) > as cnt > ,sum(ss_wholesale_cost) as s1 ,sum(ss_list_price) as s2 > ,sum(ss_coupon_amt) as s3 > FROM store_sales > JOIN store_returns ON store_sales.ss_item_sk = > store_returns.sr_item_sk and store_sales.ss_ticket_number = > store_returns.sr_ticket_number > JOIN customer ON store_sales.ss_customer_sk = customer.c_customer_sk > JOIN date_dim d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk > JOIN date_dim d2 ON customer.c_first_sales_date_sk = d2.d_date_sk > JOIN date_dim d3 ON customer.c_first_shipto_date_sk = d3.d_date_sk > JOIN store ON store_sales.ss_store_sk = store.s_store_sk > JOIN customer_demographics cd1 ON store_sales.ss_cdemo_sk= > cd1.cd_demo_sk > JOIN customer_demographics cd2 ON customer.c_current_cdemo_sk = > cd2.cd_demo_sk > JOIN promotion ON store_sales.ss_promo_sk = promotion.p_promo_sk > JOIN household_demographics hd1 ON store_sales.ss_hdemo_sk = > hd1.hd_demo_sk > JOIN household_demographics hd2 ON customer.c_current_hdemo_sk = > hd2.hd_demo_sk > JOIN customer_address ad1 ON store_sales.ss_addr_sk = > ad1.ca_address_sk > JOIN customer_address ad2 ON customer.c_current_addr_sk = > ad2.ca_address_sk > JOIN income_band ib1 ON hd1.hd_income_band_sk = ib1.ib_income_band_sk > JOIN income_band ib2 ON hd2.hd_income_band_sk = ib2.ib_income_band_sk > JOIN item ON store_sales.ss_item_sk = item.i_item_sk > JOIN > (select cs_item_sk > ,sum(cs_ext_list_price) as > sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund > from catalog_sales JOIN catalog_returns > ON catalog_sales.cs_item_sk = catalog_returns.cr_item_sk > and catalog_sales.cs_order_number = catalog_returns.cr_order_number > group by cs_item_sk > having > sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)) > cs_ui > ON store_sales.ss_item_sk = cs_ui.cs_item_sk > WHERE > cd1.cd_marital_status <> cd2.cd_marital_status and > i_color in ('maroon','burnished','dim','steel','navajo','chocolate') > and > i_current_price between 35 and 35 + 10 and > i_current_price between 35 + 1 and 35 + 15 > group by i_product_name ,i_item_sk ,s_store_name ,s_zip ,ad1.ca_street_number > ,ad1.ca_street_name ,ad1.ca_city ,ad1.ca_zip ,ad2.ca_street_number > ,ad2.ca_street_name ,ad2.ca_city ,ad2.ca_zip ,d1.d_year ,d2.d_year > ,d3.d_year > ) cs1 > JOIN > (select i_product_name as product_name ,i_item_sk as item_sk ,s_store_name as > store_name > ,s_zip as store_zip ,ad1.ca_street_number as b_street_number > ,ad1.ca_street_name as b_streen_name > ,ad1.ca_city as b_city ,ad1.ca_zip as b_zip ,ad2.ca_street_number as > c_street_number > ,ad2.ca_street_name as c_street_name ,ad2.ca_city as c_city ,ad2.ca_zip > as c_zip > ,d1.d_year as syear ,d2.d_year as fsyear ,d3.d_year as s2year ,count(*) > as cnt > ,sum(ss_wholesale_cost) as s1 ,sum(ss_list_price) as s2 > ,sum(ss_coupon_amt) as s3 > FROM store_sales > JOIN store_returns ON store_sales.ss_item_sk = > store_returns.sr_item_sk and store_sales.ss_ticket_number = > store_returns.sr_ticket_number > JOIN customer ON store_sales.ss_customer_sk = customer.c_customer_sk > JOIN date_dim d1 ON store_sales.ss_sold_date_sk = d1.d_date_sk > JOIN date_dim d2 ON customer.c_first_sales_date_sk = d2.d_date_sk > JOIN date_dim d3 ON customer.c_first_shipto_date_sk = d3.d_date_sk > JOIN store ON store_sales.ss_store_sk = store.s_store_sk > JOIN customer_demographics cd1 ON store_sales.ss_cdemo_sk= > cd1.cd_demo_sk > JOIN customer_demographics cd2 ON customer.c_current_cdemo_sk = > cd2.cd_demo_sk > JOIN promotion ON store_sales.ss_promo_sk = promotion.p_promo_sk > JOIN household_demographics hd1 ON store_sales.ss_hdemo_sk = > hd1.hd_demo_sk > JOIN household_demographics hd2 ON customer.c_current_hdemo_sk = > hd2.hd_demo_sk > JOIN customer_address ad1 ON store_sales.ss_addr_sk = > ad1.ca_address_sk > JOIN customer_address ad2 ON customer.c_current_addr_sk = > ad2.ca_address_sk > JOIN income_band ib1 ON hd1.hd_income_band_sk = ib1.ib_income_band_sk > JOIN income_band ib2 ON hd2.hd_income_band_sk = ib2.ib_income_band_sk > JOIN item ON store_sales.ss_item_sk = item.i_item_sk > JOIN > (select cs_item_sk > ,sum(cs_ext_list_price) as > sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund > from catalog_sales JOIN catalog_returns > ON catalog_sales.cs_item_sk = catalog_returns.cr_item_sk > and catalog_sales.cs_order_number = catalog_returns.cr_order_number > group by cs_item_sk > having > sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)) > cs_ui > ON store_sales.ss_item_sk = cs_ui.cs_item_sk > WHERE > cd1.cd_marital_status <> cd2.cd_marital_status and > i_color in ('maroon','burnished','dim','steel','navajo','chocolate') > and > i_current_price between 35 and 35 + 10 and > i_current_price between 35 + 1 and 35 + 15 > group by i_product_name ,i_item_sk ,s_store_name ,s_zip ,ad1.ca_street_number > ,ad1.ca_street_name ,ad1.ca_city ,ad1.ca_zip ,ad2.ca_street_number > ,ad2.ca_street_name ,ad2.ca_city ,ad2.ca_zip ,d1.d_year ,d2.d_year > ,d3.d_year > ) cs2 > ON cs1.item_sk=cs2.item_sk > where > cs1.syear = 2000 and > cs2.syear = 2000 + 1 and > cs2.cnt <= cs1.cnt and > cs1.store_name = cs2.store_name and > cs1.store_zip = cs2.store_zip > order by cs1.product_name ,cs1.store_name ,cs2.cnt > {code} > Exception > {code} > ], TaskAttempt 3 failed, info=[Error: Failure while running > task:java.lang.RuntimeException: java.lang.RuntimeException: > org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while > processing row > at > org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:171) > at > org.apache.hadoop.hive.ql.exec.tez.TezProcessor.run(TezProcessor.java:137) > at > org.apache.tez.runtime.LogicalIOProcessorRuntimeTask.run(LogicalIOProcessorRuntimeTask.java:337) > at > org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:179) > at > org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:171) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:415) > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628) > at > org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.callInternal(TezTaskRunner.java:171) > at > org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.callInternal(TezTaskRunner.java:167) > at org.apache.tez.common.CallableWithNdc.call(CallableWithNdc.java:36) > at java.util.concurrent.FutureTask.run(FutureTask.java:262) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > Caused by: java.lang.RuntimeException: > org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while > processing row > at > org.apache.hadoop.hive.ql.exec.tez.MapRecordSource.processRow(MapRecordSource.java:91) > at > org.apache.hadoop.hive.ql.exec.tez.MapRecordSource.pushRecord(MapRecordSource.java:68) > at > org.apache.hadoop.hive.ql.exec.tez.MapRecordProcessor.run(MapRecordProcessor.java:290) > at > org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:148) > ... 14 more > Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime > Error while processing row > at > org.apache.hadoop.hive.ql.exec.vector.VectorMapOperator.process(VectorMapOperator.java:52) > at > org.apache.hadoop.hive.ql.exec.tez.MapRecordSource.processRow(MapRecordSource.java:83) > ... 17 more > Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Unexpected > exception: org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector cannot be > cast to org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector > at > org.apache.hadoop.hive.ql.exec.MapJoinOperator.process(MapJoinOperator.java:426) > at > org.apache.hadoop.hive.ql.exec.vector.VectorMapJoinOperator.process(VectorMapJoinOperator.java:290) > at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:837) > at > org.apache.hadoop.hive.ql.exec.vector.VectorSelectOperator.process(VectorSelectOperator.java:138) > at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:837) > at > org.apache.hadoop.hive.ql.exec.vector.VectorFilterOperator.process(VectorFilterOperator.java:114) > at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:837) > at > org.apache.hadoop.hive.ql.exec.TableScanOperator.process(TableScanOperator.java:97) > at > org.apache.hadoop.hive.ql.exec.MapOperator$MapOpCtx.forward(MapOperator.java:162) > at > org.apache.hadoop.hive.ql.exec.vector.VectorMapOperator.process(VectorMapOperator.java:45) > ... 18 more > Caused by: java.lang.ClassCastException: > org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector cannot be cast to > org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector > at > org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpressionWriterFactory$VectorExpressionWriterDouble.writeValue(VectorExpressionWriterFactory.java:225) > at > org.apache.hadoop.hive.ql.exec.vector.VectorMapJoinOperator.getRowObject(VectorMapJoinOperator.java:352) > at > org.apache.hadoop.hive.ql.exec.vector.VectorMapJoinOperator.spillBigTableRow(VectorMapJoinOperator.java:309) > at > org.apache.hadoop.hive.ql.exec.MapJoinOperator.process(MapJoinOperator.java:404) > ... 27 more > ]], Vertex failed as one or more tasks failed. failedTasks:1, Vertex > vertex_1426707664723_4575_1_34 [Map 40] killed/failed due to:null]Vertex > killed, vertexName=Reducer 6, vertexId=vertex_1426707664723_4575_1_42, > diagnostics=[Vertex received Kill while in RUNNING state., Vertex killed as > other vertex failed. failedTasks:0, Vertex vertex_1426707664723_4575_1_42 > [Reducer 6] killed/failed due to:null]Vertex killed, vertexName=Reducer 27, > vertexId=vertex_1426707664723_4575_1_36, diagnostics=[Vertex received Kill > while in RUNNING state., Vertex killed as other vertex failed. failedTasks:0, > Vertex vertex_1426707664723_4575_1_36 [Reducer 27] killed/failed due > to:null]Vertex killed, vertexName=Reducer 5, > vertexId=vertex_1426707664723_4575_1_41, diagnostics=[Vertex received Kill > while in RUNNING state., Vertex killed as other vertex failed. failedTasks:0, > Vertex vertex_1426707664723_4575_1_41 [Reducer 5] killed/failed due > to:null]Vertex killed, vertexName=Map 26, > vertexId=vertex_1426707664723_4575_1_35, diagnostics=[Vertex received Kill > while in RUNNING state., Vertex killed as other vertex failed. failedTasks:0, > Vertex vertex_1426707664723_4575_1_35 [Map 26] killed/failed due > to:null]Vertex killed, vertexName=Map 19, > vertexId=vertex_1426707664723_4575_1_39, diagnostics=[Vertex received Kill > while in RUNNING state., Vertex killed as other vertex failed. failedTasks:0, > Vertex vertex_1426707664723_4575_1_39 [Map 19] killed/failed due > to:null]Vertex killed, vertexName=Map 4, > vertexId=vertex_1426707664723_4575_1_40, diagnostics=[Vertex received Kill > while in RUNNING state., Vertex killed as other vertex failed. failedTasks:0, > Vertex vertex_1426707664723_4575_1_40 [Map 4] killed/failed due to:null]DAG > failed due to vertex failure. failedVertices:1 killedVertices:6 > {code} > Plan > {code} > STAGE PLANS: > Stage: Stage-1 > Tez > Edges: > Map 1 <- Map 2 (BROADCAST_EDGE) > Map 10 <- Map 11 (BROADCAST_EDGE), Map 12 (BROADCAST_EDGE), Map 13 > (BROADCAST_EDGE), Map 18 (BROADCAST_EDGE) > Map 14 <- Map 15 (BROADCAST_EDGE) > Map 15 <- Map 16 (BROADCAST_EDGE), Map 17 (BROADCAST_EDGE) > Map 18 <- Map 14 (BROADCAST_EDGE) > Map 19 <- Map 10 (BROADCAST_EDGE), Map 7 (BROADCAST_EDGE), Map 9 > (BROADCAST_EDGE), Reducer 21 (BROADCAST_EDGE) > Map 20 <- Map 22 (BROADCAST_EDGE) > Map 23 <- Map 24 (BROADCAST_EDGE) > Map 26 <- Map 23 (BROADCAST_EDGE), Map 25 (BROADCAST_EDGE), Map 40 > (BROADCAST_EDGE) > Map 28 <- Map 29 (BROADCAST_EDGE) > Map 31 <- Map 32 (BROADCAST_EDGE), Map 33 (BROADCAST_EDGE), Map 34 > (BROADCAST_EDGE), Map 39 (BROADCAST_EDGE) > Map 35 <- Map 36 (BROADCAST_EDGE) > Map 36 <- Map 37 (BROADCAST_EDGE), Map 38 (BROADCAST_EDGE) > Map 39 <- Map 35 (BROADCAST_EDGE) > Map 4 <- Map 1 (BROADCAST_EDGE), Map 19 (BROADCAST_EDGE), Map 3 > (BROADCAST_EDGE) > Map 40 <- Map 28 (BROADCAST_EDGE), Map 30 (BROADCAST_EDGE), Map 31 > (BROADCAST_EDGE), Reducer 42 (BROADCAST_EDGE) > Map 41 <- Map 43 (BROADCAST_EDGE) > Map 7 <- Map 8 (BROADCAST_EDGE) > Reducer 21 <- Map 20 (SIMPLE_EDGE) > Reducer 27 <- Map 26 (SIMPLE_EDGE) > Reducer 42 <- Map 41 (SIMPLE_EDGE) > Reducer 5 <- Map 4 (SIMPLE_EDGE), Reducer 27 (BROADCAST_EDGE) > Reducer 6 <- Reducer 5 (SIMPLE_EDGE) > DagName: jenkins_20150503192312_dad6086a-e3ca-4519-aab9-d1179786ba1d:1 > Vertices: > Map 1 > Map Operator Tree: > TableScan > alias: hd1 > filterExpr: (hd_income_band_sk is not null and 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_income_band_sk is not null and 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_income_band_sk > (type: int) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 7200 Data size: 57600 Basic > stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col1 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col0 > input vertices: > 1 Map 2 > Statistics: Num rows: 7200 Data size: 28800 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Reduce Output Operator > key expressions: _col0 (type: int) > sort order: + > Map-reduce partition columns: _col0 (type: int) > Statistics: Num rows: 7200 Data size: 28800 Basic > stats: COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Map 10 > Map Operator Tree: > TableScan > alias: cd1 > 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: 170951200 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: cd_demo_sk (type: int), cd_marital_status > (type: string) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 1920800 Data size: 170951200 > Basic stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col1 (type: int) > outputColumnNames: _col1, _col2, _col4, _col5, _col6, > _col7 > input vertices: > 1 Map 11 > Statistics: Num rows: 1387730 Data size: 145711650 > Basic stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col7 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col1, _col2, _col4, _col5, > _col6, _col9 > input vertices: > 1 Map 12 > Statistics: Num rows: 1387730 Data size: 145711650 > Basic stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col6 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col1, _col2, _col4, _col5, > _col9, _col11 > input vertices: > 1 Map 13 > Statistics: Num rows: 1387730 Data size: > 145711650 Basic stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col2 (type: int) > 1 _col4 (type: int) > outputColumnNames: _col1, _col4, _col5, _col9, > _col11, _col13, _col15, _col18, _col19, _col21, _col23, _col24, _col25, > _col29, _col31, _col32 > input vertices: > 1 Map 18 > Statistics: Num rows: 68 Data size: 26860 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Filter Operator > predicate: (_col13 <> _col1) (type: boolean) > Statistics: Num rows: 68 Data size: 26860 > Basic stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: _col15 (type: int), _col24 > (type: float), _col25 (type: float), _col4 (type: int), _col5 (type: int), > _col29 (type: int), _col9 (type: int), _col11 (type: int), _col31 (type: > string), _col32 (type: string), _col18 (type: int), _col19 (type: int), > _col21 (type: int), _col23 (type: float) > outputColumnNames: _col1, _col10, _col11, > _col16, _col17, _col21, _col23, _col25, _col27, _col28, _col4, _col5, _col7, > _col9 > Statistics: Num rows: 68 Data size: 15300 > 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: 68 Data size: 15300 > Basic stats: COMPLETE Column stats: COMPLETE > value expressions: _col4 (type: int), > _col5 (type: int), _col7 (type: int), _col9 (type: float), _col10 (type: > float), _col11 (type: float), _col16 (type: int), _col17 (type: int), _col21 > (type: int), _col23 (type: int), _col25 (type: int), _col27 (type: string), > _col28 (type: string) > Execution mode: vectorized > Map 11 > Map Operator Tree: > TableScan > alias: customer > filterExpr: (((((c_current_cdemo_sk is not null and > c_first_sales_date_sk is not null) and c_first_shipto_date_sk is not null) > and c_customer_sk is not null) and c_current_hdemo_sk is not null) and > c_current_addr_sk is not null) (type: boolean) > Statistics: Num rows: 1600000 Data size: 1241633212 Basic > stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: (((((c_current_cdemo_sk is not null and > c_first_sales_date_sk is not null) and c_first_shipto_date_sk is not null) > and c_customer_sk is not null) and c_current_hdemo_sk is not null) and > c_current_addr_sk is not null) (type: boolean) > Statistics: Num rows: 1387730 Data size: 32529324 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: c_customer_sk (type: int), > c_current_cdemo_sk (type: int), c_current_hdemo_sk (type: int), > c_current_addr_sk (type: int), c_first_shipto_date_sk (type: int), > c_first_sales_date_sk (type: int) > outputColumnNames: _col0, _col1, _col2, _col3, _col4, > _col5 > Statistics: Num rows: 1387730 Data size: 32529324 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: 1387730 Data size: 32529324 > Basic stats: COMPLETE Column stats: COMPLETE > value expressions: _col0 (type: int), _col2 (type: > int), _col3 (type: int), _col4 (type: int), _col5 (type: int) > Execution mode: vectorized > Map 12 > Map Operator Tree: > TableScan > alias: d1 > filterExpr: 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_sk is not null (type: boolean) > Statistics: Num rows: 73049 Data size: 584392 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: d_date_sk (type: int), d_year (type: int) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 73049 Data size: 584392 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: 73049 Data size: 584392 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: int) > Execution mode: vectorized > Map 13 > Map Operator Tree: > TableScan > alias: d1 > filterExpr: 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_sk is not null (type: boolean) > Statistics: Num rows: 73049 Data size: 584392 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: d_date_sk (type: int), d_year (type: int) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 73049 Data size: 584392 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: 73049 Data size: 584392 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: int) > Execution mode: vectorized > Map 14 > Map Operator Tree: > TableScan > alias: cd1 > 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: 170951200 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: cd_demo_sk (type: int), cd_marital_status > (type: string) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 1920800 Data size: 170951200 > Basic stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col3 (type: int) > outputColumnNames: _col1, _col3, _col4, _col6, _col7, > _col8, _col9, _col11, _col12, _col13, _col17 > input vertices: > 1 Map 15 > Statistics: Num rows: 78 Data size: 9750 Basic stats: > COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Reduce Output Operator > key expressions: _col8 (type: int) > sort order: + > Map-reduce partition columns: _col8 (type: int) > Statistics: Num rows: 78 Data size: 9750 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: string), _col3 > (type: int), _col4 (type: int), _col6 (type: int), _col7 (type: int), _col9 > (type: int), _col11 (type: float), _col12 (type: float), _col13 (type: > float), _col17 (type: int) > Execution mode: vectorized > Map 15 > Map Operator Tree: > TableScan > alias: store_sales > filterExpr: ((((((((ss_item_sk is not null and > ss_ticket_number is not null) and ss_sold_date_sk is not null) and > ss_cdemo_sk is not null) and ss_store_sk is not null) and ss_customer_sk is > not null) and ss_promo_sk is not null) and ss_addr_sk is not null) and > ss_hdemo_sk is not null) (type: boolean) > Statistics: Num rows: 550076554 Data size: 101277521188 > Basic stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: ((((((((ss_item_sk is not null and > ss_ticket_number is not null) and ss_sold_date_sk is not null) and > ss_cdemo_sk is not null) and ss_store_sk is not null) and ss_customer_sk is > not null) and ss_promo_sk is not null) and ss_addr_sk is not null) and > ss_hdemo_sk is not null) (type: boolean) > Statistics: Num rows: 476766968 Data size: 22480476572 > Basic stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: ss_sold_date_sk (type: int), ss_item_sk > (type: int), ss_customer_sk (type: int), ss_cdemo_sk (type: int), ss_hdemo_sk > (type: int), ss_addr_sk (type: int), ss_store_sk (type: int), ss_promo_sk > (type: int), ss_ticket_number (type: int), ss_wholesale_cost (type: float), > ss_list_price (type: float), ss_coupon_amt (type: float) > outputColumnNames: _col0, _col1, _col2, _col3, _col4, > _col5, _col6, _col7, _col8, _col9, _col10, _col11 > Statistics: Num rows: 476766968 Data size: 22480476572 > Basic stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col1 (type: int), _col8 (type: int) > 1 _col0 (type: int), _col1 (type: int) > outputColumnNames: _col0, _col1, _col2, _col3, _col4, > _col5, _col6, _col7, _col9, _col10, _col11 > input vertices: > 1 Map 16 > Statistics: Num rows: 8686 Data size: 382184 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col1, _col2, _col3, _col4, > _col5, _col6, _col7, _col9, _col10, _col11 > input vertices: > 1 Map 17 > Statistics: Num rows: 78 Data size: 3120 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Select Operator > expressions: _col1 (type: int), _col10 (type: > float), _col11 (type: float), 2000 (type: int), _col2 (type: int), _col3 > (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 > (type: int), _col9 (type: float) > outputColumnNames: _col1, _col10, _col11, _col15, > _col2, _col3, _col4, _col5, _col6, _col7, _col9 > Statistics: Num rows: 78 Data size: 3432 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: 78 Data size: 3432 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: int), _col2 > (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 > (type: int), _col9 (type: float), _col10 (type: float), _col11 (type: float), > _col15 (type: int) > Execution mode: vectorized > Map 16 > Map Operator Tree: > TableScan > alias: store_returns > filterExpr: (sr_item_sk is not null and sr_ticket_number is > not null) (type: boolean) > Statistics: Num rows: 55578005 Data size: 9601960106 Basic > stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: (sr_item_sk is not null and sr_ticket_number > is not null) (type: boolean) > Statistics: Num rows: 55578005 Data size: 444624040 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: sr_item_sk (type: int), sr_ticket_number > (type: int) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 55578005 Data size: 444624040 > Basic stats: COMPLETE Column stats: COMPLETE > Reduce Output Operator > key expressions: _col0 (type: int), _col1 (type: int) > sort order: ++ > Map-reduce partition columns: _col0 (type: int), > _col1 (type: int) > Statistics: Num rows: 55578005 Data size: 444624040 > Basic stats: COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Map 17 > Map Operator Tree: > TableScan > alias: d1 > filterExpr: ((d_year = 2000) 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 = 2000) 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 > Execution mode: vectorized > Map 18 > Map Operator Tree: > TableScan > alias: store > filterExpr: ((s_store_sk is not null and s_store_name is > not null) and s_zip 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 and s_store_name is > not null) and s_zip is not null) (type: boolean) > Statistics: Num rows: 212 Data size: 38372 Basic stats: > COMPLETE Column stats: COMPLETE > Select Operator > expressions: s_store_sk (type: int), s_store_name > (type: string), s_zip (type: string) > outputColumnNames: _col0, _col1, _col2 > Statistics: Num rows: 212 Data size: 38372 Basic stats: > COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col8 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col1, _col3, _col4, _col6, _col7, > _col9, _col11, _col12, _col13, _col17, _col19, _col20 > input vertices: > 0 Map 14 > Statistics: Num rows: 78 Data size: 23244 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Select Operator > expressions: _col1 (type: string), _col11 (type: > float), _col12 (type: float), _col13 (type: float), _col17 (type: int), > _col19 (type: string), _col20 (type: string), _col3 (type: int), _col4 (type: > int), _col6 (type: int), _col7 (type: int), _col9 (type: int) > outputColumnNames: _col1, _col11, _col12, _col13, > _col17, _col19, _col20, _col3, _col4, _col6, _col7, _col9 > Statistics: Num rows: 78 Data size: 23244 Basic > stats: COMPLETE Column stats: COMPLETE > Reduce Output Operator > key expressions: _col4 (type: int) > sort order: + > Map-reduce partition columns: _col4 (type: int) > Statistics: Num rows: 78 Data size: 23244 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: string), _col3 > (type: int), _col6 (type: int), _col7 (type: int), _col9 (type: int), _col11 > (type: float), _col12 (type: float), _col13 (type: float), _col17 (type: > int), _col19 (type: string), _col20 (type: string) > Execution mode: vectorized > Map 19 > Map Operator Tree: > TableScan > alias: item > filterExpr: ((((i_color) IN ('maroon', 'burnished', 'dim', > 'steel', 'navajo', 'chocolate') and i_current_price BETWEEN 35 AND 45) and > i_current_price BETWEEN 36 AND 50) and i_item_sk is not null) (type: boolean) > Statistics: Num rows: 48000 Data size: 68732712 Basic > stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: ((((i_color) IN ('maroon', 'burnished', 'dim', > 'steel', 'navajo', 'chocolate') and i_current_price BETWEEN 35 AND 45) and > i_current_price BETWEEN 36 AND 50) and i_item_sk is not null) (type: boolean) > Statistics: Num rows: 6000 Data size: 1199936 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: i_item_sk (type: int), i_product_name > (type: string) > outputColumnNames: _col0, _col3 > Statistics: Num rows: 6000 Data size: 642000 Basic > stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > Inner Join 0 to 2 > keys: > 0 _col1 (type: int) > 1 _col0 (type: int) > 2 _col0 (type: int) > outputColumnNames: _col4, _col5, _col7, _col9, > _col10, _col11, _col16, _col17, _col21, _col23, _col25, _col27, _col28, > _col33, _col36 > input vertices: > 0 Map 10 > 2 Reducer 21 > Statistics: Num rows: 13200 Data size: 1412400 Basic > stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col10 (type: float), _col11 (type: > float), _col16 (type: int), _col17 (type: int), _col21 (type: int), _col23 > (type: int), _col25 (type: int), _col27 (type: string), _col28 (type: > string), _col33 (type: int), _col36 (type: string), _col4 (type: int), _col5 > (type: int), _col7 (type: int), _col9 (type: float) > outputColumnNames: _col10, _col11, _col16, _col17, > _col21, _col23, _col25, _col27, _col28, _col33, _col36, _col4, _col5, _col7, > _col9 > Statistics: Num rows: 13200 Data size: 1412400 > Basic stats: COMPLETE Column stats: NONE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col7 (type: int) > outputColumnNames: _col5, _col6, _col10, _col11, > _col12, _col17, _col18, _col22, _col24, _col26, _col28, _col29, _col34, _col37 > input vertices: > 0 Map 9 > Statistics: Num rows: 14520 Data size: 1553640 > Basic stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col10 (type: float), _col11 > (type: float), _col12 (type: float), _col17 (type: int), _col18 (type: int), > _col22 (type: int), _col24 (type: int), _col26 (type: int), _col28 (type: > string), _col29 (type: string), _col34 (type: int), _col37 (type: string), > _col5 (type: int), _col6 (type: int) > outputColumnNames: _col10, _col11, _col12, > _col17, _col18, _col22, _col24, _col26, _col28, _col29, _col34, _col37, > _col5, _col6 > Statistics: Num rows: 14520 Data size: 1553640 > Basic stats: COMPLETE Column stats: NONE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col17 (type: int) > outputColumnNames: _col8, _col9, _col13, > _col14, _col15, _col21, _col25, _col27, _col29, _col31, _col32, _col37, _col40 > input vertices: > 0 Map 7 > Statistics: Num rows: 15972 Data size: > 1709004 Basic stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col13 (type: float), _col14 > (type: float), _col15 (type: float), _col21 (type: int), _col25 (type: int), > _col27 (type: int), _col29 (type: int), _col31 (type: string), _col32 (type: > string), _col37 (type: int), _col40 (type: string), _col8 (type: int), _col9 > (type: int) > outputColumnNames: _col13, _col14, _col15, > _col21, _col25, _col27, _col29, _col31, _col32, _col37, _col40, _col8, _col9 > Statistics: Num rows: 15972 Data size: > 1709004 Basic stats: COMPLETE Column stats: NONE > Reduce Output Operator > key expressions: _col9 (type: int) > sort order: + > Map-reduce partition columns: _col9 > (type: int) > Statistics: Num rows: 15972 Data size: > 1709004 Basic stats: COMPLETE Column stats: NONE > value expressions: _col8 (type: int), > _col13 (type: float), _col14 (type: float), _col15 (type: float), _col21 > (type: int), _col25 (type: int), _col27 (type: int), _col29 (type: int), > _col31 (type: string), _col32 (type: string), _col37 (type: int), _col40 > (type: string) > Execution mode: vectorized > Map 2 > Map Operator Tree: > TableScan > alias: ib1 > filterExpr: ib_income_band_sk is not null (type: boolean) > Statistics: Num rows: 20 Data size: 240 Basic stats: > COMPLETE Column stats: COMPLETE > Filter Operator > predicate: ib_income_band_sk is not null (type: boolean) > Statistics: Num rows: 20 Data size: 80 Basic stats: > COMPLETE Column stats: COMPLETE > Select Operator > expressions: ib_income_band_sk (type: int) > outputColumnNames: _col0 > Statistics: Num rows: 20 Data size: 80 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: 20 Data size: 80 Basic stats: > COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Map 20 > Map Operator Tree: > TableScan > alias: catalog_sales > filterExpr: (cs_item_sk is not null and cs_order_number is > not null) (type: boolean) > Statistics: Num rows: 286549727 Data size: 65825832570 > Basic stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: (cs_item_sk is not null and cs_order_number is > not null) (type: boolean) > Statistics: Num rows: 286549727 Data size: 3435718732 > Basic stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: cs_item_sk (type: int), cs_order_number > (type: int), cs_ext_list_price (type: float) > outputColumnNames: _col0, _col1, _col2 > Statistics: Num rows: 286549727 Data size: 3435718732 > Basic stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int), _col1 (type: int) > 1 _col0 (type: int), _col1 (type: int) > outputColumnNames: _col0, _col2, _col5, _col6, _col7 > input vertices: > 1 Map 22 > Statistics: Num rows: 2911 Data size: 58220 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Select Operator > expressions: _col0 (type: int), _col2 (type: > float), ((_col5 + _col6) + _col7) (type: float) > outputColumnNames: _col0, _col1, _col2 > Statistics: Num rows: 2911 Data size: 58220 Basic > stats: COMPLETE Column stats: COMPLETE > Group By Operator > aggregations: sum(_col1), sum(_col2) > keys: _col0 (type: int) > mode: hash > outputColumnNames: _col0, _col1, _col2 > Statistics: Num rows: 1 Data size: 20 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: 1 Data size: 20 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: double), _col2 > (type: double) > Execution mode: vectorized > Map 22 > Map Operator Tree: > TableScan > alias: catalog_returns > filterExpr: (cr_item_sk is not null and cr_order_number is > not null) (type: boolean) > Statistics: Num rows: 28798881 Data size: 5764329494 Basic > stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: (cr_item_sk is not null and cr_order_number is > not null) (type: boolean) > Statistics: Num rows: 28798881 Data size: 569059536 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: cr_item_sk (type: int), cr_order_number > (type: int), cr_refunded_cash (type: float), cr_reversed_charge (type: > float), cr_store_credit (type: float) > outputColumnNames: _col0, _col1, _col2, _col3, _col4 > Statistics: Num rows: 28798881 Data size: 569059536 > Basic stats: COMPLETE Column stats: COMPLETE > Reduce Output Operator > key expressions: _col0 (type: int), _col1 (type: int) > sort order: ++ > Map-reduce partition columns: _col0 (type: int), > _col1 (type: int) > Statistics: Num rows: 28798881 Data size: 569059536 > Basic stats: COMPLETE Column stats: COMPLETE > value expressions: _col2 (type: float), _col3 (type: > float), _col4 (type: float) > Execution mode: vectorized > Map 23 > Map Operator Tree: > TableScan > alias: hd1 > filterExpr: (hd_income_band_sk is not null and 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_income_band_sk is not null and 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_income_band_sk > (type: int) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 7200 Data size: 57600 Basic > stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col1 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col0 > input vertices: > 1 Map 24 > Statistics: Num rows: 7200 Data size: 28800 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Reduce Output Operator > key expressions: _col0 (type: int) > sort order: + > Map-reduce partition columns: _col0 (type: int) > Statistics: Num rows: 7200 Data size: 28800 Basic > stats: COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Map 24 > Map Operator Tree: > TableScan > alias: ib1 > filterExpr: ib_income_band_sk is not null (type: boolean) > Statistics: Num rows: 20 Data size: 240 Basic stats: > COMPLETE Column stats: COMPLETE > Filter Operator > predicate: ib_income_band_sk is not null (type: boolean) > Statistics: Num rows: 20 Data size: 80 Basic stats: > COMPLETE Column stats: COMPLETE > Select Operator > expressions: ib_income_band_sk (type: int) > outputColumnNames: _col0 > Statistics: Num rows: 20 Data size: 80 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: 20 Data size: 80 Basic stats: > COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Map 25 > Map Operator Tree: > TableScan > alias: ad1 > filterExpr: 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_address_sk is not null (type: boolean) > Statistics: Num rows: 800000 Data size: 292000000 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: ca_address_sk (type: int), > ca_street_number (type: string), ca_street_name (type: string), ca_city > (type: string), ca_zip (type: string) > outputColumnNames: _col0, _col1, _col2, _col3, _col4 > Statistics: Num rows: 800000 Data size: 292000000 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: 800000 Data size: 292000000 > Basic stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: string), _col2 (type: > string), _col3 (type: string), _col4 (type: string) > Execution mode: vectorized > Map 26 > Map Operator Tree: > TableScan > alias: ad1 > filterExpr: 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_address_sk is not null (type: boolean) > Statistics: Num rows: 800000 Data size: 292000000 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: ca_address_sk (type: int), > ca_street_number (type: string), ca_street_name (type: string), ca_city > (type: string), ca_zip (type: string) > outputColumnNames: _col0, _col1, _col2, _col3, _col4 > Statistics: Num rows: 800000 Data size: 292000000 Basic > stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col9 (type: int) > outputColumnNames: _col1, _col2, _col3, _col4, > _col13, _col18, _col19, _col20, _col26, _col30, _col32, _col34, _col36, > _col37, _col42, _col45 > input vertices: > 1 Map 40 > Statistics: Num rows: 880000 Data size: 321200006 > Basic stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col1 (type: string), _col13 (type: > int), _col18 (type: float), _col19 (type: float), _col2 (type: string), > _col20 (type: float), _col26 (type: int), _col3 (type: string), _col30 (type: > int), _col32 (type: int), _col34 (type: int), _col36 (type: string), _col37 > (type: string), _col4 (type: string), _col42 (type: int), _col45 (type: > string) > outputColumnNames: _col1, _col13, _col18, _col19, > _col2, _col20, _col26, _col3, _col30, _col32, _col34, _col36, _col37, _col4, > _col42, _col45 > Statistics: Num rows: 880000 Data size: 321200006 > Basic stats: COMPLETE Column stats: NONE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col26 (type: int) > outputColumnNames: _col1, _col2, _col3, _col4, > _col6, _col7, _col8, _col9, _col18, _col23, _col24, _col25, _col35, _col37, > _col39, _col41, _col42, _col47, _col50 > input vertices: > 0 Map 25 > Statistics: Num rows: 968000 Data size: 353320014 > Basic stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col1 (type: string), _col18 > (type: int), _col2 (type: string), _col23 (type: float), _col24 (type: > float), _col25 (type: float), _col3 (type: string), _col35 (type: int), > _col37 (type: int), _col39 (type: int), _col4 (type: string), _col41 (type: > string), _col42 (type: string), _col47 (type: int), _col50 (type: string), > _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 > (type: string) > outputColumnNames: _col1, _col18, _col2, > _col23, _col24, _col25, _col3, _col35, _col37, _col39, _col4, _col41, _col42, > _col47, _col50, _col6, _col7, _col8, _col9 > Statistics: Num rows: 968000 Data size: > 353320014 Basic stats: COMPLETE Column stats: NONE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col18 (type: int) > outputColumnNames: _col4, _col5, _col6, > _col7, _col9, _col10, _col11, _col12, _col26, _col27, _col28, _col38, _col40, > _col42, _col44, _col45, _col50, _col53 > input vertices: > 0 Map 23 > Statistics: Num rows: 1064800 Data size: > 388652023 Basic stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col53 (type: string), _col50 > (type: int), _col44 (type: string), _col45 (type: string), _col9 (type: > string), _col10 (type: string), _col11 (type: string), _col12 (type: string), > _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 > (type: string), _col38 (type: int), _col40 (type: int), _col42 (type: int), > _col26 (type: float), _col27 (type: float), _col28 (type: float) > outputColumnNames: _col0, _col1, _col2, > _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, > _col13, _col14, _col15, _col16, _col17 > Statistics: Num rows: 1064800 Data size: > 388652023 Basic stats: COMPLETE Column stats: NONE > Group By Operator > aggregations: count(), sum(_col15), > sum(_col16), sum(_col17) > keys: _col0 (type: string), _col1 (type: > int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 > (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: > string), _col9 (type: string), _col10 (type: string), _col11 (type: string), > _col12 (type: int), _col13 (type: int), _col14 (type: int) > mode: hash > outputColumnNames: _col0, _col1, _col2, > _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, > _col13, _col14, _col15, _col16, _col17, _col18 > Statistics: Num rows: 1064800 Data size: > 388652023 Basic stats: COMPLETE Column stats: NONE > Reduce Output Operator > key expressions: _col0 (type: string), > _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: > string), _col5 (type: string), _col6 (type: string), _col7 (type: string), > _col8 (type: string), _col9 (type: string), _col10 (type: string), _col11 > (type: string), _col12 (type: int), _col13 (type: int), _col14 (type: int) > sort order: +++++++++++++++ > Map-reduce partition columns: _col0 > (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: > string), _col4 (type: string), _col5 (type: string), _col6 (type: string), > _col7 (type: string), _col8 (type: string), _col9 (type: string), _col10 > (type: string), _col11 (type: string), _col12 (type: int), _col13 (type: > int), _col14 (type: int) > Statistics: Num rows: 1064800 Data > size: 388652023 Basic stats: COMPLETE Column stats: NONE > value expressions: _col15 (type: > bigint), _col16 (type: double), _col17 (type: double), _col18 (type: double) > Execution mode: vectorized > Map 28 > Map Operator Tree: > TableScan > alias: hd1 > filterExpr: (hd_income_band_sk is not null and 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_income_band_sk is not null and 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_income_band_sk > (type: int) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 7200 Data size: 57600 Basic > stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col1 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col0 > input vertices: > 1 Map 29 > Statistics: Num rows: 7200 Data size: 28800 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Reduce Output Operator > key expressions: _col0 (type: int) > sort order: + > Map-reduce partition columns: _col0 (type: int) > Statistics: Num rows: 7200 Data size: 28800 Basic > stats: COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Map 29 > Map Operator Tree: > TableScan > alias: ib1 > filterExpr: ib_income_band_sk is not null (type: boolean) > Statistics: Num rows: 20 Data size: 240 Basic stats: > COMPLETE Column stats: COMPLETE > Filter Operator > predicate: ib_income_band_sk is not null (type: boolean) > Statistics: Num rows: 20 Data size: 80 Basic stats: > COMPLETE Column stats: COMPLETE > Select Operator > expressions: ib_income_band_sk (type: int) > outputColumnNames: _col0 > Statistics: Num rows: 20 Data size: 80 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: 20 Data size: 80 Basic stats: > COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Map 3 > Map Operator Tree: > TableScan > alias: ad1 > filterExpr: 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_address_sk is not null (type: boolean) > Statistics: Num rows: 800000 Data size: 292000000 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: ca_address_sk (type: int), > ca_street_number (type: string), ca_street_name (type: string), ca_city > (type: string), ca_zip (type: string) > outputColumnNames: _col0, _col1, _col2, _col3, _col4 > Statistics: Num rows: 800000 Data size: 292000000 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: 800000 Data size: 292000000 > Basic stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: string), _col2 (type: > string), _col3 (type: string), _col4 (type: string) > Execution mode: vectorized > Map 30 > Map Operator Tree: > TableScan > alias: promotion > filterExpr: p_promo_sk is not null (type: boolean) > Statistics: Num rows: 450 Data size: 530848 Basic stats: > COMPLETE Column stats: COMPLETE > Filter Operator > predicate: p_promo_sk is not null (type: boolean) > Statistics: Num rows: 450 Data size: 1800 Basic stats: > COMPLETE Column stats: COMPLETE > Select Operator > expressions: p_promo_sk (type: int) > outputColumnNames: _col0 > Statistics: Num rows: 450 Data size: 1800 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: 450 Data size: 1800 Basic > stats: COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Map 31 > Map Operator Tree: > TableScan > alias: cd1 > 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: 170951200 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: cd_demo_sk (type: int), cd_marital_status > (type: string) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 1920800 Data size: 170951200 > Basic stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col1 (type: int) > outputColumnNames: _col1, _col2, _col4, _col5, _col6, > _col7 > input vertices: > 1 Map 32 > Statistics: Num rows: 1387730 Data size: 145711650 > Basic stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col7 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col1, _col2, _col4, _col5, > _col6, _col9 > input vertices: > 1 Map 33 > Statistics: Num rows: 1387730 Data size: 145711650 > Basic stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col6 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col1, _col2, _col4, _col5, > _col9, _col11 > input vertices: > 1 Map 34 > Statistics: Num rows: 1387730 Data size: > 145711650 Basic stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col2 (type: int) > 1 _col4 (type: int) > outputColumnNames: _col1, _col4, _col5, _col9, > _col11, _col13, _col15, _col18, _col19, _col21, _col23, _col24, _col25, > _col29, _col31, _col32 > input vertices: > 1 Map 39 > Statistics: Num rows: 68 Data size: 26860 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Filter Operator > predicate: (_col13 <> _col1) (type: boolean) > Statistics: Num rows: 68 Data size: 26860 > Basic stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: _col15 (type: int), _col24 > (type: float), _col25 (type: float), _col4 (type: int), _col5 (type: int), > _col29 (type: int), _col9 (type: int), _col11 (type: int), _col31 (type: > string), _col32 (type: string), _col18 (type: int), _col19 (type: int), > _col21 (type: int), _col23 (type: float) > outputColumnNames: _col1, _col10, _col11, > _col16, _col17, _col21, _col23, _col25, _col27, _col28, _col4, _col5, _col7, > _col9 > Statistics: Num rows: 68 Data size: 15300 > 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: 68 Data size: 15300 > Basic stats: COMPLETE Column stats: COMPLETE > value expressions: _col4 (type: int), > _col5 (type: int), _col7 (type: int), _col9 (type: float), _col10 (type: > float), _col11 (type: float), _col16 (type: int), _col17 (type: int), _col21 > (type: int), _col23 (type: int), _col25 (type: int), _col27 (type: string), > _col28 (type: string) > Execution mode: vectorized > Map 32 > Map Operator Tree: > TableScan > alias: customer > filterExpr: (((((c_current_cdemo_sk is not null and > c_first_sales_date_sk is not null) and c_first_shipto_date_sk is not null) > and c_customer_sk is not null) and c_current_hdemo_sk is not null) and > c_current_addr_sk is not null) (type: boolean) > Statistics: Num rows: 1600000 Data size: 1241633212 Basic > stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: (((((c_current_cdemo_sk is not null and > c_first_sales_date_sk is not null) and c_first_shipto_date_sk is not null) > and c_customer_sk is not null) and c_current_hdemo_sk is not null) and > c_current_addr_sk is not null) (type: boolean) > Statistics: Num rows: 1387730 Data size: 32529324 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: c_customer_sk (type: int), > c_current_cdemo_sk (type: int), c_current_hdemo_sk (type: int), > c_current_addr_sk (type: int), c_first_shipto_date_sk (type: int), > c_first_sales_date_sk (type: int) > outputColumnNames: _col0, _col1, _col2, _col3, _col4, > _col5 > Statistics: Num rows: 1387730 Data size: 32529324 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: 1387730 Data size: 32529324 > Basic stats: COMPLETE Column stats: COMPLETE > value expressions: _col0 (type: int), _col2 (type: > int), _col3 (type: int), _col4 (type: int), _col5 (type: int) > Execution mode: vectorized > Map 33 > Map Operator Tree: > TableScan > alias: d1 > filterExpr: 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_sk is not null (type: boolean) > Statistics: Num rows: 73049 Data size: 584392 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: d_date_sk (type: int), d_year (type: int) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 73049 Data size: 584392 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: 73049 Data size: 584392 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: int) > Execution mode: vectorized > Map 34 > Map Operator Tree: > TableScan > alias: d1 > filterExpr: 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_sk is not null (type: boolean) > Statistics: Num rows: 73049 Data size: 584392 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: d_date_sk (type: int), d_year (type: int) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 73049 Data size: 584392 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: 73049 Data size: 584392 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: int) > Execution mode: vectorized > Map 35 > Map Operator Tree: > TableScan > alias: cd1 > 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: 170951200 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: cd_demo_sk (type: int), cd_marital_status > (type: string) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 1920800 Data size: 170951200 > Basic stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col3 (type: int) > outputColumnNames: _col1, _col3, _col4, _col6, _col7, > _col8, _col9, _col11, _col12, _col13, _col17 > input vertices: > 1 Map 36 > Statistics: Num rows: 78 Data size: 9750 Basic stats: > COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Reduce Output Operator > key expressions: _col8 (type: int) > sort order: + > Map-reduce partition columns: _col8 (type: int) > Statistics: Num rows: 78 Data size: 9750 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: string), _col3 > (type: int), _col4 (type: int), _col6 (type: int), _col7 (type: int), _col9 > (type: int), _col11 (type: float), _col12 (type: float), _col13 (type: > float), _col17 (type: int) > Execution mode: vectorized > Map 36 > Map Operator Tree: > TableScan > alias: store_sales > filterExpr: ((((((((ss_item_sk is not null and > ss_ticket_number is not null) and ss_sold_date_sk is not null) and > ss_cdemo_sk is not null) and ss_store_sk is not null) and ss_customer_sk is > not null) and ss_promo_sk is not null) and ss_addr_sk is not null) and > ss_hdemo_sk is not null) (type: boolean) > Statistics: Num rows: 550076554 Data size: 101277521188 > Basic stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: ((((((((ss_item_sk is not null and > ss_ticket_number is not null) and ss_sold_date_sk is not null) and > ss_cdemo_sk is not null) and ss_store_sk is not null) and ss_customer_sk is > not null) and ss_promo_sk is not null) and ss_addr_sk is not null) and > ss_hdemo_sk is not null) (type: boolean) > Statistics: Num rows: 476766968 Data size: 22480476572 > Basic stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: ss_sold_date_sk (type: int), ss_item_sk > (type: int), ss_customer_sk (type: int), ss_cdemo_sk (type: int), ss_hdemo_sk > (type: int), ss_addr_sk (type: int), ss_store_sk (type: int), ss_promo_sk > (type: int), ss_ticket_number (type: int), ss_wholesale_cost (type: float), > ss_list_price (type: float), ss_coupon_amt (type: float) > outputColumnNames: _col0, _col1, _col2, _col3, _col4, > _col5, _col6, _col7, _col8, _col9, _col10, _col11 > Statistics: Num rows: 476766968 Data size: 22480476572 > Basic stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col1 (type: int), _col8 (type: int) > 1 _col0 (type: int), _col1 (type: int) > outputColumnNames: _col0, _col1, _col2, _col3, _col4, > _col5, _col6, _col7, _col9, _col10, _col11 > input vertices: > 1 Map 37 > Statistics: Num rows: 8686 Data size: 382184 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col1, _col2, _col3, _col4, > _col5, _col6, _col7, _col9, _col10, _col11 > input vertices: > 1 Map 38 > Statistics: Num rows: 78 Data size: 3120 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Select Operator > expressions: _col1 (type: int), _col10 (type: > float), _col11 (type: float), 2001 (type: int), _col2 (type: int), _col3 > (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 > (type: int), _col9 (type: float) > outputColumnNames: _col1, _col10, _col11, _col15, > _col2, _col3, _col4, _col5, _col6, _col7, _col9 > Statistics: Num rows: 78 Data size: 3432 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: 78 Data size: 3432 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: int), _col2 > (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 > (type: int), _col9 (type: float), _col10 (type: float), _col11 (type: float), > _col15 (type: int) > Execution mode: vectorized > Map 37 > Map Operator Tree: > TableScan > alias: store_returns > filterExpr: (sr_item_sk is not null and sr_ticket_number is > not null) (type: boolean) > Statistics: Num rows: 55578005 Data size: 9601960106 Basic > stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: (sr_item_sk is not null and sr_ticket_number > is not null) (type: boolean) > Statistics: Num rows: 55578005 Data size: 444624040 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: sr_item_sk (type: int), sr_ticket_number > (type: int) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 55578005 Data size: 444624040 > Basic stats: COMPLETE Column stats: COMPLETE > Reduce Output Operator > key expressions: _col0 (type: int), _col1 (type: int) > sort order: ++ > Map-reduce partition columns: _col0 (type: int), > _col1 (type: int) > Statistics: Num rows: 55578005 Data size: 444624040 > Basic stats: COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Map 38 > Map Operator Tree: > TableScan > alias: d1 > 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 > Execution mode: vectorized > Map 39 > Map Operator Tree: > TableScan > alias: store > filterExpr: ((s_store_sk is not null and s_store_name is > not null) and s_zip 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 and s_store_name is > not null) and s_zip is not null) (type: boolean) > Statistics: Num rows: 212 Data size: 38372 Basic stats: > COMPLETE Column stats: COMPLETE > Select Operator > expressions: s_store_sk (type: int), s_store_name > (type: string), s_zip (type: string) > outputColumnNames: _col0, _col1, _col2 > Statistics: Num rows: 212 Data size: 38372 Basic stats: > COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col8 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col1, _col3, _col4, _col6, _col7, > _col9, _col11, _col12, _col13, _col17, _col19, _col20 > input vertices: > 0 Map 35 > Statistics: Num rows: 78 Data size: 23244 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Select Operator > expressions: _col1 (type: string), _col11 (type: > float), _col12 (type: float), _col13 (type: float), _col17 (type: int), > _col19 (type: string), _col20 (type: string), _col3 (type: int), _col4 (type: > int), _col6 (type: int), _col7 (type: int), _col9 (type: int) > outputColumnNames: _col1, _col11, _col12, _col13, > _col17, _col19, _col20, _col3, _col4, _col6, _col7, _col9 > Statistics: Num rows: 78 Data size: 23244 Basic > stats: COMPLETE Column stats: COMPLETE > Reduce Output Operator > key expressions: _col4 (type: int) > sort order: + > Map-reduce partition columns: _col4 (type: int) > Statistics: Num rows: 78 Data size: 23244 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: string), _col3 > (type: int), _col6 (type: int), _col7 (type: int), _col9 (type: int), _col11 > (type: float), _col12 (type: float), _col13 (type: float), _col17 (type: > int), _col19 (type: string), _col20 (type: string) > Execution mode: vectorized > Map 4 > Map Operator Tree: > TableScan > alias: ad1 > filterExpr: 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_address_sk is not null (type: boolean) > Statistics: Num rows: 800000 Data size: 292000000 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: ca_address_sk (type: int), > ca_street_number (type: string), ca_street_name (type: string), ca_city > (type: string), ca_zip (type: string) > outputColumnNames: _col0, _col1, _col2, _col3, _col4 > Statistics: Num rows: 800000 Data size: 292000000 Basic > stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col9 (type: int) > outputColumnNames: _col1, _col2, _col3, _col4, > _col13, _col18, _col19, _col20, _col26, _col30, _col32, _col34, _col36, > _col37, _col42, _col45 > input vertices: > 1 Map 19 > Statistics: Num rows: 880000 Data size: 321200006 > Basic stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col1 (type: string), _col13 (type: > int), _col18 (type: float), _col19 (type: float), _col2 (type: string), > _col20 (type: float), _col26 (type: int), _col3 (type: string), _col30 (type: > int), _col32 (type: int), _col34 (type: int), _col36 (type: string), _col37 > (type: string), _col4 (type: string), _col42 (type: int), _col45 (type: > string) > outputColumnNames: _col1, _col13, _col18, _col19, > _col2, _col20, _col26, _col3, _col30, _col32, _col34, _col36, _col37, _col4, > _col42, _col45 > Statistics: Num rows: 880000 Data size: 321200006 > Basic stats: COMPLETE Column stats: NONE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col26 (type: int) > outputColumnNames: _col1, _col2, _col3, _col4, > _col6, _col7, _col8, _col9, _col18, _col23, _col24, _col25, _col35, _col37, > _col39, _col41, _col42, _col47, _col50 > input vertices: > 0 Map 3 > Statistics: Num rows: 968000 Data size: 353320014 > Basic stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col1 (type: string), _col18 > (type: int), _col2 (type: string), _col23 (type: float), _col24 (type: > float), _col25 (type: float), _col3 (type: string), _col35 (type: int), > _col37 (type: int), _col39 (type: int), _col4 (type: string), _col41 (type: > string), _col42 (type: string), _col47 (type: int), _col50 (type: string), > _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 > (type: string) > outputColumnNames: _col1, _col18, _col2, > _col23, _col24, _col25, _col3, _col35, _col37, _col39, _col4, _col41, _col42, > _col47, _col50, _col6, _col7, _col8, _col9 > Statistics: Num rows: 968000 Data size: > 353320014 Basic stats: COMPLETE Column stats: NONE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col18 (type: int) > outputColumnNames: _col4, _col5, _col6, > _col7, _col9, _col10, _col11, _col12, _col26, _col27, _col28, _col38, _col40, > _col42, _col44, _col45, _col50, _col53 > input vertices: > 0 Map 1 > Statistics: Num rows: 1064800 Data size: > 388652023 Basic stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col53 (type: string), _col50 > (type: int), _col44 (type: string), _col45 (type: string), _col9 (type: > string), _col10 (type: string), _col11 (type: string), _col12 (type: string), > _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 > (type: string), _col38 (type: int), _col40 (type: int), _col42 (type: int), > _col26 (type: float), _col27 (type: float), _col28 (type: float) > outputColumnNames: _col0, _col1, _col2, > _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, > _col13, _col14, _col15, _col16, _col17 > Statistics: Num rows: 1064800 Data size: > 388652023 Basic stats: COMPLETE Column stats: NONE > Group By Operator > aggregations: count(), sum(_col15), > sum(_col16), sum(_col17) > keys: _col0 (type: string), _col1 (type: > int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 > (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: > string), _col9 (type: string), _col10 (type: string), _col11 (type: string), > _col12 (type: int), _col13 (type: int), _col14 (type: int) > mode: hash > outputColumnNames: _col0, _col1, _col2, > _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, > _col13, _col14, _col15, _col16, _col17, _col18 > Statistics: Num rows: 1064800 Data size: > 388652023 Basic stats: COMPLETE Column stats: NONE > Reduce Output Operator > key expressions: _col0 (type: string), > _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: > string), _col5 (type: string), _col6 (type: string), _col7 (type: string), > _col8 (type: string), _col9 (type: string), _col10 (type: string), _col11 > (type: string), _col12 (type: int), _col13 (type: int), _col14 (type: int) > sort order: +++++++++++++++ > Map-reduce partition columns: _col0 > (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: > string), _col4 (type: string), _col5 (type: string), _col6 (type: string), > _col7 (type: string), _col8 (type: string), _col9 (type: string), _col10 > (type: string), _col11 (type: string), _col12 (type: int), _col13 (type: > int), _col14 (type: int) > Statistics: Num rows: 1064800 Data > size: 388652023 Basic stats: COMPLETE Column stats: NONE > value expressions: _col15 (type: > bigint), _col16 (type: double), _col17 (type: double), _col18 (type: double) > Execution mode: vectorized > Map 40 > Map Operator Tree: > TableScan > alias: item > filterExpr: ((((i_color) IN ('maroon', 'burnished', 'dim', > 'steel', 'navajo', 'chocolate') and i_current_price BETWEEN 35 AND 45) and > i_current_price BETWEEN 36 AND 50) and i_item_sk is not null) (type: boolean) > Statistics: Num rows: 48000 Data size: 68732712 Basic > stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: ((((i_color) IN ('maroon', 'burnished', 'dim', > 'steel', 'navajo', 'chocolate') and i_current_price BETWEEN 35 AND 45) and > i_current_price BETWEEN 36 AND 50) and i_item_sk is not null) (type: boolean) > Statistics: Num rows: 6000 Data size: 1199936 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: i_item_sk (type: int), i_product_name > (type: string) > outputColumnNames: _col0, _col3 > Statistics: Num rows: 6000 Data size: 642000 Basic > stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > Inner Join 0 to 2 > keys: > 0 _col1 (type: int) > 1 _col0 (type: int) > 2 _col0 (type: int) > outputColumnNames: _col4, _col5, _col7, _col9, > _col10, _col11, _col16, _col17, _col21, _col23, _col25, _col27, _col28, > _col33, _col36 > input vertices: > 0 Map 31 > 2 Reducer 42 > Statistics: Num rows: 13200 Data size: 1412400 Basic > stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col10 (type: float), _col11 (type: > float), _col16 (type: int), _col17 (type: int), _col21 (type: int), _col23 > (type: int), _col25 (type: int), _col27 (type: string), _col28 (type: > string), _col33 (type: int), _col36 (type: string), _col4 (type: int), _col5 > (type: int), _col7 (type: int), _col9 (type: float) > outputColumnNames: _col10, _col11, _col16, _col17, > _col21, _col23, _col25, _col27, _col28, _col33, _col36, _col4, _col5, _col7, > _col9 > Statistics: Num rows: 13200 Data size: 1412400 > Basic stats: COMPLETE Column stats: NONE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col7 (type: int) > outputColumnNames: _col5, _col6, _col10, _col11, > _col12, _col17, _col18, _col22, _col24, _col26, _col28, _col29, _col34, _col37 > input vertices: > 0 Map 30 > Statistics: Num rows: 14520 Data size: 1553640 > Basic stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col10 (type: float), _col11 > (type: float), _col12 (type: float), _col17 (type: int), _col18 (type: int), > _col22 (type: int), _col24 (type: int), _col26 (type: int), _col28 (type: > string), _col29 (type: string), _col34 (type: int), _col37 (type: string), > _col5 (type: int), _col6 (type: int) > outputColumnNames: _col10, _col11, _col12, > _col17, _col18, _col22, _col24, _col26, _col28, _col29, _col34, _col37, > _col5, _col6 > Statistics: Num rows: 14520 Data size: 1553640 > Basic stats: COMPLETE Column stats: NONE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int) > 1 _col17 (type: int) > outputColumnNames: _col8, _col9, _col13, > _col14, _col15, _col21, _col25, _col27, _col29, _col31, _col32, _col37, _col40 > input vertices: > 0 Map 28 > Statistics: Num rows: 15972 Data size: > 1709004 Basic stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Select Operator > expressions: _col13 (type: float), _col14 > (type: float), _col15 (type: float), _col21 (type: int), _col25 (type: int), > _col27 (type: int), _col29 (type: int), _col31 (type: string), _col32 (type: > string), _col37 (type: int), _col40 (type: string), _col8 (type: int), _col9 > (type: int) > outputColumnNames: _col13, _col14, _col15, > _col21, _col25, _col27, _col29, _col31, _col32, _col37, _col40, _col8, _col9 > Statistics: Num rows: 15972 Data size: > 1709004 Basic stats: COMPLETE Column stats: NONE > Reduce Output Operator > key expressions: _col9 (type: int) > sort order: + > Map-reduce partition columns: _col9 > (type: int) > Statistics: Num rows: 15972 Data size: > 1709004 Basic stats: COMPLETE Column stats: NONE > value expressions: _col8 (type: int), > _col13 (type: float), _col14 (type: float), _col15 (type: float), _col21 > (type: int), _col25 (type: int), _col27 (type: int), _col29 (type: int), > _col31 (type: string), _col32 (type: string), _col37 (type: int), _col40 > (type: string) > Execution mode: vectorized > Map 41 > Map Operator Tree: > TableScan > alias: catalog_sales > filterExpr: (cs_item_sk is not null and cs_order_number is > not null) (type: boolean) > Statistics: Num rows: 286549727 Data size: 65825832570 > Basic stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: (cs_item_sk is not null and cs_order_number is > not null) (type: boolean) > Statistics: Num rows: 286549727 Data size: 3435718732 > Basic stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: cs_item_sk (type: int), cs_order_number > (type: int), cs_ext_list_price (type: float) > outputColumnNames: _col0, _col1, _col2 > Statistics: Num rows: 286549727 Data size: 3435718732 > Basic stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col0 (type: int), _col1 (type: int) > 1 _col0 (type: int), _col1 (type: int) > outputColumnNames: _col0, _col2, _col5, _col6, _col7 > input vertices: > 1 Map 43 > Statistics: Num rows: 2911 Data size: 58220 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Select Operator > expressions: _col0 (type: int), _col2 (type: > float), ((_col5 + _col6) + _col7) (type: float) > outputColumnNames: _col0, _col1, _col2 > Statistics: Num rows: 2911 Data size: 58220 Basic > stats: COMPLETE Column stats: COMPLETE > Group By Operator > aggregations: sum(_col1), sum(_col2) > keys: _col0 (type: int) > mode: hash > outputColumnNames: _col0, _col1, _col2 > Statistics: Num rows: 1 Data size: 20 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: 1 Data size: 20 Basic > stats: COMPLETE Column stats: COMPLETE > value expressions: _col1 (type: double), _col2 > (type: double) > Execution mode: vectorized > Map 43 > Map Operator Tree: > TableScan > alias: catalog_returns > filterExpr: (cr_item_sk is not null and cr_order_number is > not null) (type: boolean) > Statistics: Num rows: 28798881 Data size: 5764329494 Basic > stats: COMPLETE Column stats: COMPLETE > Filter Operator > predicate: (cr_item_sk is not null and cr_order_number is > not null) (type: boolean) > Statistics: Num rows: 28798881 Data size: 569059536 Basic > stats: COMPLETE Column stats: COMPLETE > Select Operator > expressions: cr_item_sk (type: int), cr_order_number > (type: int), cr_refunded_cash (type: float), cr_reversed_charge (type: > float), cr_store_credit (type: float) > outputColumnNames: _col0, _col1, _col2, _col3, _col4 > Statistics: Num rows: 28798881 Data size: 569059536 > Basic stats: COMPLETE Column stats: COMPLETE > Reduce Output Operator > key expressions: _col0 (type: int), _col1 (type: int) > sort order: ++ > Map-reduce partition columns: _col0 (type: int), > _col1 (type: int) > Statistics: Num rows: 28798881 Data size: 569059536 > Basic stats: COMPLETE Column stats: COMPLETE > value expressions: _col2 (type: float), _col3 (type: > float), _col4 (type: float) > Execution mode: vectorized > Map 7 > Map Operator Tree: > TableScan > alias: hd1 > filterExpr: (hd_income_band_sk is not null and 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_income_band_sk is not null and 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_income_band_sk > (type: int) > outputColumnNames: _col0, _col1 > Statistics: Num rows: 7200 Data size: 57600 Basic > stats: COMPLETE Column stats: COMPLETE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col1 (type: int) > 1 _col0 (type: int) > outputColumnNames: _col0 > input vertices: > 1 Map 8 > Statistics: Num rows: 7200 Data size: 28800 Basic > stats: COMPLETE Column stats: COMPLETE > HybridGraceHashJoin: true > Reduce Output Operator > key expressions: _col0 (type: int) > sort order: + > Map-reduce partition columns: _col0 (type: int) > Statistics: Num rows: 7200 Data size: 28800 Basic > stats: COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Map 8 > Map Operator Tree: > TableScan > alias: ib1 > filterExpr: ib_income_band_sk is not null (type: boolean) > Statistics: Num rows: 20 Data size: 240 Basic stats: > COMPLETE Column stats: COMPLETE > Filter Operator > predicate: ib_income_band_sk is not null (type: boolean) > Statistics: Num rows: 20 Data size: 80 Basic stats: > COMPLETE Column stats: COMPLETE > Select Operator > expressions: ib_income_band_sk (type: int) > outputColumnNames: _col0 > Statistics: Num rows: 20 Data size: 80 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: 20 Data size: 80 Basic stats: > COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Map 9 > Map Operator Tree: > TableScan > alias: promotion > filterExpr: p_promo_sk is not null (type: boolean) > Statistics: Num rows: 450 Data size: 530848 Basic stats: > COMPLETE Column stats: COMPLETE > Filter Operator > predicate: p_promo_sk is not null (type: boolean) > Statistics: Num rows: 450 Data size: 1800 Basic stats: > COMPLETE Column stats: COMPLETE > Select Operator > expressions: p_promo_sk (type: int) > outputColumnNames: _col0 > Statistics: Num rows: 450 Data size: 1800 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: 450 Data size: 1800 Basic > stats: COMPLETE Column stats: COMPLETE > Execution mode: vectorized > Reducer 21 > Reduce Operator Tree: > Group By Operator > aggregations: sum(VALUE._col0), sum(VALUE._col1) > keys: KEY._col0 (type: int) > mode: mergepartial > outputColumnNames: _col0, _col1, _col2 > Statistics: Num rows: 1 Data size: 20 Basic stats: COMPLETE > Column stats: COMPLETE > Filter Operator > predicate: (_col1 > (2.0 * _col2)) (type: boolean) > Statistics: Num rows: 0 Data size: 0 Basic stats: NONE > Column stats: COMPLETE > Select Operator > expressions: _col0 (type: int) > outputColumnNames: _col0 > Statistics: Num rows: 0 Data size: 0 Basic stats: NONE > Column stats: COMPLETE > Reduce Output Operator > key expressions: _col0 (type: int) > sort order: + > Map-reduce partition columns: _col0 (type: int) > Statistics: Num rows: 0 Data size: 0 Basic stats: NONE > Column stats: COMPLETE > Reducer 27 > Reduce Operator Tree: > Group By Operator > aggregations: count(VALUE._col0), sum(VALUE._col1), > sum(VALUE._col2), sum(VALUE._col3) > keys: KEY._col0 (type: string), KEY._col1 (type: int), > KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), > KEY._col5 (type: string), KEY._col6 (type: string), KEY._col7 (type: string), > KEY._col8 (type: string), KEY._col9 (type: string), KEY._col10 (type: > string), KEY._col11 (type: string), KEY._col12 (type: int), KEY._col13 (type: > int), KEY._col14 (type: int) > mode: mergepartial > outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, > _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, > _col16, _col17, _col18 > Statistics: Num rows: 532400 Data size: 194326011 Basic > stats: COMPLETE Column stats: NONE > Select Operator > expressions: _col1 (type: int), _col2 (type: string), _col3 > (type: string), _col12 (type: int), _col15 (type: bigint), _col16 (type: > double), _col17 (type: double), _col18 (type: double) > outputColumnNames: _col0, _col1, _col2, _col3, _col4, > _col5, _col6, _col7 > Statistics: Num rows: 532400 Data size: 194326011 Basic > stats: COMPLETE Column stats: NONE > Reduce Output Operator > key expressions: _col0 (type: int), _col1 (type: string), > _col2 (type: string) > sort order: +++ > Map-reduce partition columns: _col0 (type: int), _col1 > (type: string), _col2 (type: string) > Statistics: Num rows: 532400 Data size: 194326011 Basic > stats: COMPLETE Column stats: NONE > value expressions: _col3 (type: int), _col4 (type: > bigint), _col5 (type: double), _col6 (type: double), _col7 (type: double) > Reducer 42 > Reduce Operator Tree: > Group By Operator > aggregations: sum(VALUE._col0), sum(VALUE._col1) > keys: KEY._col0 (type: int) > mode: mergepartial > outputColumnNames: _col0, _col1, _col2 > Statistics: Num rows: 1 Data size: 20 Basic stats: COMPLETE > Column stats: COMPLETE > Filter Operator > predicate: (_col1 > (2.0 * _col2)) (type: boolean) > Statistics: Num rows: 0 Data size: 0 Basic stats: NONE > Column stats: COMPLETE > Select Operator > expressions: _col0 (type: int) > outputColumnNames: _col0 > Statistics: Num rows: 0 Data size: 0 Basic stats: NONE > Column stats: COMPLETE > Reduce Output Operator > key expressions: _col0 (type: int) > sort order: + > Map-reduce partition columns: _col0 (type: int) > Statistics: Num rows: 0 Data size: 0 Basic stats: NONE > Column stats: COMPLETE > Reducer 5 > Reduce Operator Tree: > Group By Operator > aggregations: count(VALUE._col0), sum(VALUE._col1), > sum(VALUE._col2), sum(VALUE._col3) > keys: KEY._col0 (type: string), KEY._col1 (type: int), > KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), > KEY._col5 (type: string), KEY._col6 (type: string), KEY._col7 (type: string), > KEY._col8 (type: string), KEY._col9 (type: string), KEY._col10 (type: > string), KEY._col11 (type: string), KEY._col12 (type: int), KEY._col13 (type: > int), KEY._col14 (type: int) > mode: mergepartial > outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, > _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, > _col16, _col17, _col18 > Statistics: Num rows: 532400 Data size: 194326011 Basic > stats: COMPLETE Column stats: NONE > Select Operator > expressions: _col0 (type: string), _col1 (type: int), _col2 > (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: > string), _col6 (type: string), _col7 (type: string), _col8 (type: string), > _col9 (type: string), _col10 (type: string), _col11 (type: string), _col12 > (type: int), _col15 (type: bigint), _col16 (type: double), _col17 (type: > double), _col18 (type: double) > outputColumnNames: _col0, _col1, _col2, _col3, _col4, > _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, > _col15, _col16 > Statistics: Num rows: 532400 Data size: 194326011 Basic > stats: COMPLETE Column stats: NONE > Map Join Operator > condition map: > Inner Join 0 to 1 > keys: > 0 _col1 (type: int), _col2 (type: string), _col3 (type: > string) > 1 _col0 (type: int), _col1 (type: string), _col2 (type: > string) > outputColumnNames: _col0, _col2, _col3, _col4, _col5, > _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, > _col16, _col20, _col21, _col22, _col23, _col24 > input vertices: > 1 Reducer 27 > Statistics: Num rows: 585640 Data size: 213758616 Basic > stats: COMPLETE Column stats: NONE > HybridGraceHashJoin: true > Filter Operator > predicate: (_col21 <= _col13) (type: boolean) > Statistics: Num rows: 195213 Data size: 71252750 Basic > stats: COMPLETE Column stats: NONE > Select Operator > expressions: _col0 (type: string), _col2 (type: > string), _col3 (type: string), _col4 (type: string), _col5 (type: string), > _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 > (type: string), _col10 (type: string), _col11 (type: string), _col12 (type: > int), _col13 (type: bigint), _col14 (type: double), _col15 (type: double), > _col16 (type: double), _col22 (type: double), _col23 (type: double), _col24 > (type: double), _col20 (type: int), _col21 (type: bigint) > outputColumnNames: _col0, _col1, _col2, _col3, _col4, > _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, > _col15, _col16, _col17, _col18, _col19, _col20 > Statistics: Num rows: 195213 Data size: 71252750 > Basic stats: COMPLETE Column stats: NONE > Reduce Output Operator > key expressions: _col0 (type: string), _col1 (type: > string), _col20 (type: bigint) > sort order: +++ > Statistics: Num rows: 195213 Data size: 71252750 > Basic stats: COMPLETE Column stats: NONE > value expressions: _col2 (type: string), _col3 > (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: > string), _col7 (type: string), _col8 (type: string), _col9 (type: string), > _col10 (type: string), _col11 (type: int), _col12 (type: bigint), _col13 > (type: double), _col14 (type: double), _col15 (type: double), _col16 (type: > double), _col17 (type: double), _col18 (type: double), _col19 (type: int) > Reducer 6 > Reduce Operator Tree: > Select Operator > expressions: KEY.reducesinkkey0 (type: string), > KEY.reducesinkkey1 (type: string), VALUE._col0 (type: string), VALUE._col1 > (type: string), VALUE._col2 (type: string), VALUE._col3 (type: string), > VALUE._col4 (type: string), VALUE._col5 (type: string), VALUE._col6 (type: > string), VALUE._col7 (type: string), VALUE._col8 (type: string), VALUE._col9 > (type: int), VALUE._col10 (type: bigint), VALUE._col11 (type: double), > VALUE._col12 (type: double), VALUE._col13 (type: double), VALUE._col14 (type: > double), VALUE._col15 (type: double), VALUE._col16 (type: double), > VALUE._col17 (type: int), KEY.reducesinkkey2 (type: bigint) > outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, > _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, > _col16, _col17, _col18, _col19, _col20 > Statistics: Num rows: 195213 Data size: 71252750 Basic stats: > COMPLETE Column stats: NONE > File Output Operator > compressed: false > Statistics: Num rows: 195213 Data size: 71252750 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 > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332)