Mostafa Mokhtar created HIVE-8454: ------------------------------------- Summary: Hive : BytesBytesMultiHashMap.validateCapacity exception "Capacity must be a power of two" Key: HIVE-8454 URL: https://issues.apache.org/jira/browse/HIVE-8454 Project: Hive Issue Type: Bug Components: Physical Optimizer Affects Versions: 0.14.0 Reporter: Mostafa Mokhtar Fix For: 0.14.0
Query {code} select count(*) 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 item ON store_sales.ss_item_sk = item.i_item_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 (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 and d1.d_year = 2001; {code} {code} ], TaskAttempt 3 failed, info=[Error: Failure while running task:java.lang.RuntimeException: java.lang.RuntimeException: java.lang.AssertionError: Capacity must be a power of two at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:187) at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.run(TezProcessor.java:142) at org.apache.tez.runtime.LogicalIOProcessorRuntimeTask.run(LogicalIOProcessorRuntimeTask.java:324) at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:180) at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:172) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:415) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548) at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.call(TezTaskRunner.java:172) at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.call(TezTaskRunner.java:167) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:744) Caused by: java.lang.RuntimeException: java.lang.AssertionError: Capacity must be a power of two at org.apache.hadoop.hive.ql.exec.tez.MapRecordSource.processRow(MapRecordSource.java:93) at org.apache.hadoop.hive.ql.exec.tez.MapRecordSource.pushRecord(MapRecordSource.java:70) at org.apache.hadoop.hive.ql.exec.tez.MapRecordProcessor.run(MapRecordProcessor.java:273) at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:164) ... 13 more Caused by: java.lang.AssertionError: Capacity must be a power of two at org.apache.hadoop.hive.ql.exec.persistence.BytesBytesMultiHashMap.validateCapacity(BytesBytesMultiHashMap.java:302) at org.apache.hadoop.hive.ql.exec.persistence.BytesBytesMultiHashMap.<init>(BytesBytesMultiHashMap.java:159) at org.apache.hadoop.hive.ql.exec.persistence.MapJoinBytesTableContainer.<init>(MapJoinBytesTableContainer.java:73) at org.apache.hadoop.hive.ql.exec.persistence.MapJoinBytesTableContainer.<init>(MapJoinBytesTableContainer.java:64) at org.apache.hadoop.hive.ql.exec.tez.HashTableLoader.load(HashTableLoader.java:145) at org.apache.hadoop.hive.ql.exec.MapJoinOperator.loadHashTable(MapJoinOperator.java:201) at org.apache.hadoop.hive.ql.exec.MapJoinOperator.cleanUpInputFileChangedOp(MapJoinOperator.java:236) at org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1035) at org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1039) at org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1039) at org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1039) at org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1039) at org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1039) at org.apache.hadoop.hive.ql.exec.vector.VectorMapOperator.process(VectorMapOperator.java:37) at org.apache.hadoop.hive.ql.exec.tez.MapRecordSource.processRow(MapRecordSource.java:85) ... 16 more {code} Plan {code} OK STAGE DEPENDENCIES: Stage-1 is a root stage Stage-0 depends on stages: Stage-1 STAGE PLANS: Stage: Stage-1 Tez Edges: Map 11 <- Map 10 (BROADCAST_EDGE), Map 20 (BROADCAST_EDGE) Map 12 <- Map 14 (BROADCAST_EDGE) Map 16 <- Map 4 (BROADCAST_EDGE), Map 7 (BROADCAST_EDGE) Map 4 <- Map 1 (BROADCAST_EDGE), Map 15 (BROADCAST_EDGE), Map 18 (BROADCAST_EDGE), Map 19 (BROADCAST_EDGE), Map 2 (BROADCAST_EDGE), Map 3 (BROADCAST_EDGE), Map 5 (BROADCAST_EDGE), Map 6 (BROADCAST_EDGE), Map 8 (BROADCAST_EDGE), Map 9 (BROADCAST_EDGE), Reducer 13 (BROADCAST_EDGE) Map 5 <- Map 11 (BROADCAST_EDGE) Map 6 <- Map 21 (BROADCAST_EDGE) Reducer 13 <- Map 12 (SIMPLE_EDGE) Reducer 17 <- Map 16 (SIMPLE_EDGE) DagName: mmokhtar_20141013195656_e993c552-4b66-4bc4-8f22-3ca49c8727bb:14 Vertices: Map 1 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 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 10 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: 292196 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: d_date_sk (type: int) outputColumnNames: _col0 Statistics: Num rows: 73049 Data size: 292196 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: 292196 Basic stats: COMPLETE Column stats: COMPLETE Execution mode: vectorized Map 11 Map Operator Tree: TableScan alias: customer filterExpr: (((((c_first_sales_date_sk is not null and c_first_shipto_date_sk is not null) and c_current_cdemo_sk is not null) and c_customer_sk is not null) and c_current_addr_sk is not null) and c_current_hdemo_sk is not null) (type: boolean) Statistics: Num rows: 1600000 Data size: 1241633212 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (((((c_first_sales_date_sk is not null and c_first_shipto_date_sk is not null) and c_current_cdemo_sk is not null) and c_customer_sk is not null) and c_current_addr_sk is not null) and c_current_hdemo_sk is not null) (type: boolean) Statistics: Num rows: 1387729 Data size: 32529300 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: 1387729 Data size: 32529300 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {_col0} {_col1} {_col2} {_col3} {_col4} 1 keys: 0 _col5 (type: int) 1 _col0 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 input vertices: 1 Map 10 Statistics: Num rows: 1551647 Data size: 31032940 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {_col0} {_col1} {_col2} {_col3} 1 keys: 0 _col4 (type: int) 1 _col0 (type: int) outputColumnNames: _col0, _col1, _col2, _col3 input vertices: 1 Map 20 Statistics: Num rows: 1734927 Data size: 27758832 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1734927 Data size: 27758832 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: 1734927 Data size: 27758832 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col0 (type: int), _col2 (type: int), _col3 (type: int) Execution mode: vectorized Map 12 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: 37743959324 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 condition expressions: 0 {_col0} {_col2} 1 {_col2} {_col3} {_col4} 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 14 Statistics: Num rows: 7733966 Data size: 123743456 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int), _col2 (type: float), ((_col5 + _col6) + _col7) (type: float) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 7733966 Data size: 123743456 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: 14754 Data size: 295080 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: 14754 Data size: 295080 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col1 (type: double), _col2 (type: double) Execution mode: vectorized Map 14 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: 2942039156 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 15 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: 3200000 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: ca_address_sk (type: int) outputColumnNames: _col0 Statistics: Num rows: 800000 Data size: 3200000 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: 3200000 Basic stats: COMPLETE Column stats: COMPLETE Execution mode: vectorized Map 16 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 condition expressions: 0 {_col0} 1 keys: 0 _col1 (type: int) 1 _col0 (type: int) outputColumnNames: _col0 input vertices: 1 Map 7 Statistics: Num rows: 8000 Data size: 32000 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 1 keys: 0 _col0 (type: int) 1 _col19 (type: int) input vertices: 1 Map 4 Statistics: Num rows: 90416698032652288 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator Statistics: Num rows: 90416698032652288 Data size: 0 Basic stats: PARTIAL Column stats: NONE Group By Operator aggregations: count() mode: hash outputColumnNames: _col0 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: bigint) Execution mode: vectorized Map 18 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 19 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: 3200000 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: ca_address_sk (type: int) outputColumnNames: _col0 Statistics: Num rows: 800000 Data size: 3200000 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: 3200000 Basic stats: COMPLETE Column stats: COMPLETE Execution mode: vectorized Map 2 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 Reduce Output Operator key expressions: _col0 (type: int) sort order: + Map-reduce partition columns: _col0 (type: int) Statistics: Num rows: 1920800 Data size: 170951200 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col1 (type: string) Execution mode: vectorized Map 20 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: 292196 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: d_date_sk (type: int) outputColumnNames: _col0 Statistics: Num rows: 73049 Data size: 292196 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: 292196 Basic stats: COMPLETE Column stats: COMPLETE Execution mode: vectorized Map 21 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: 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: 581936 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: i_item_sk (type: int) outputColumnNames: _col0 Statistics: Num rows: 6000 Data size: 24000 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: 6000 Data size: 24000 Basic stats: COMPLETE Column stats: COMPLETE Execution mode: vectorized Map 4 Map Operator Tree: TableScan alias: store_sales filterExpr: (((((((ss_item_sk is not null and ss_store_sk is not null) and ss_cdemo_sk is not null) and ss_customer_sk is not null) and ss_ticket_number is not null) and ss_addr_sk is not null) and ss_promo_sk is not null) and ss_hdemo_sk is not null) (type: boolean) Statistics: Num rows: 550076554 Data size: 47370018896 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (((((((ss_item_sk is not null and ss_store_sk is not null) and ss_cdemo_sk is not null) and ss_customer_sk is not null) and ss_ticket_number is not null) and ss_addr_sk is not null) and ss_promo_sk is not null) and ss_hdemo_sk is not null) (type: boolean) Statistics: Num rows: 476766967 Data size: 14987001212 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: 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_sold_date_sk (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 Statistics: Num rows: 476766967 Data size: 16894069080 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {_col0} {_col1} {_col2} {_col3} {_col4} {_col5} {_col6} {_col7} {_col8} 1 keys: 0 _col0 (type: int) 1 _col0 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 input vertices: 1 Map 3 Statistics: Num rows: 365759084 Data size: 13167327024 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {_col0} {_col1} {_col2} {_col3} {_col4} {_col5} {_col6} {_col7} 1 keys: 0 _col8 (type: int) 1 _col0 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 input vertices: 1 Map 1 Statistics: Num rows: 408347470 Data size: 13067119040 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 Statistics: Num rows: 408347470 Data size: 13067119040 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 1 {_col0} {_col1} {_col2} {_col3} {_col4} {_col6} {_col7} keys: 0 _col0 (type: int) 1 _col5 (type: int) outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col7, _col8 input vertices: 0 Map 9 Statistics: Num rows: 1095818527 Data size: 30682918756 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col7 (type: int), _col8 (type: int) outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col7, _col8 Statistics: Num rows: 1095818527 Data size: 30682918756 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {_col1} 1 {_col1} {_col2} {_col4} {_col5} {_col7} {_col8} keys: 0 _col0 (type: int) 1 _col3 (type: int) outputColumnNames: _col1, _col3, _col4, _col6, _col7, _col9, _col10 input vertices: 0 Map 2 Statistics: Num rows: 26284318514 Data size: 2864990718026 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col1 (type: string), _col10 (type: int), _col3 (type: int), _col4 (type: int), _col6 (type: int), _col7 (type: int), _col9 (type: int) outputColumnNames: _col1, _col10, _col3, _col4, _col6, _col7, _col9 Statistics: Num rows: 26284318514 Data size: 2864990718026 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {_col1} {_col4} {_col5} 1 {_col1} {_col3} {_col6} {_col7} {_col9} {_col10} keys: 0 _col2 (type: int) 1 _col4 (type: int) outputColumnNames: _col1, _col4, _col5, _col11, _col13, _col16, _col17, _col19, _col20 input vertices: 0 Map 5 Statistics: Num rows: 1259845072505 Data size: 137323112903045 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (_col11 <> _col1) (type: boolean) Statistics: Num rows: 1259845072505 Data size: 137323112903045 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col13 (type: int), _col16 (type: int), _col17 (type: int), _col19 (type: int), _col20 (type: int), _col4 (type: int), _col5 (type: int) outputColumnNames: _col13, _col16, _col17, _col19, _col20, _col4, _col5 Statistics: Num rows: 1259845072505 Data size: 30236281740120 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 1 {_col4} {_col5} {_col13} {_col16} {_col17} {_col19} keys: 0 _col0 (type: int), _col1 (type: int) 1 _col13 (type: int), _col20 (type: int) outputColumnNames: _col6, _col7, _col15, _col18, _col19, _col21 input vertices: 0 Map 8 Statistics: Num rows: 102517810489 Data size: 2050356209780 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col15 (type: int), _col6 (type: int), _col7 (type: int), _col18 (type: int), _col19 (type: int), _col21 (type: int) outputColumnNames: _col0, _col13, _col14, _col3, _col4, _col6 Statistics: Num rows: 102517810489 Data size: 2050356209780 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 1 {_col0} {_col3} {_col6} {_col13} {_col14} keys: 0 _col0 (type: int) 1 _col4 (type: int) outputColumnNames: _col1, _col4, _col7, _col14, _col15 input vertices: 0 Map 15 Statistics: Num rows: 13141203075020 Data size: 210259249200320 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col1 (type: int), _col14 (type: int), _col15 (type: int), _col4 (type: int), _col7 (type: int) outputColumnNames: _col1, _col14, _col15, _col4, _col7 Statistics: Num rows: 13141203075020 Data size: 210259249200320 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 1 {_col1} {_col4} {_col7} {_col14} keys: 0 _col0 (type: int) 1 _col15 (type: int) outputColumnNames: _col2, _col5, _col8, _col15 input vertices: 0 Map 19 Statistics: Num rows: 239649914744597 Data size: 2875798976935164 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {_col5} {_col8} {_col15} 1 keys: 0 _col2 (type: int) 1 _col0 (type: int) outputColumnNames: _col5, _col8, _col15 input vertices: 1 Reducer 13 Statistics: Num rows: 239649914744597 Data size: 1917199317956776 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col15 (type: int), _col5 (type: int), _col8 (type: int) outputColumnNames: _col15, _col5, _col8 Statistics: Num rows: 239649914744597 Data size: 1917199317956776 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 1 {_col5} {_col15} keys: 0 _col0 (type: int) 1 _col8 (type: int) outputColumnNames: _col6, _col16 input vertices: 0 Map 18 Statistics: Num rows: 6740153852191791 Data size: 26960615408767164 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col16 (type: int), _col6 (type: int) outputColumnNames: _col16, _col6 Statistics: Num rows: 6740153852191791 Data size: 26960615408767164 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 1 {_col16} keys: 0 _col0 (type: int) 1 _col6 (type: int) outputColumnNames: _col19 input vertices: 0 Map 6 Statistics: Num rows: 82196998197460864 Data size: 0 Basic stats: PARTIAL Column stats: COMPLETE Select Operator expressions: _col19 (type: int) outputColumnNames: _col19 Statistics: Num rows: 82196998197460864 Data size: 0 Basic stats: PARTIAL Column stats: COMPLETE Reduce Output Operator key expressions: _col19 (type: int) sort order: + Map-reduce partition columns: _col19 (type: int) Statistics: Num rows: 82196998197460864 Data size: 0 Basic stats: PARTIAL Column stats: COMPLETE Execution mode: vectorized Map 5 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 condition expressions: 0 {_col1} 1 {_col0} {_col2} {_col3} keys: 0 _col0 (type: int) 1 _col1 (type: int) outputColumnNames: _col1, _col2, _col4, _col5 input vertices: 1 Map 11 Statistics: Num rows: 3675622 Data size: 44107464 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col2 (type: int) sort order: + Map-reduce partition columns: _col2 (type: int) Statistics: Num rows: 3675622 Data size: 44107464 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col1 (type: string), _col4 (type: int), _col5 (type: int) Execution mode: vectorized Map 6 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 condition expressions: 0 {_col0} 1 keys: 0 _col1 (type: int) 1 _col0 (type: int) outputColumnNames: _col0 input vertices: 1 Map 21 Statistics: Num rows: 8000 Data size: 32000 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: 8000 Data size: 32000 Basic stats: COMPLETE Column stats: COMPLETE Execution mode: vectorized Map 7 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 8 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: 4155315616 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 9 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 13 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: 14754 Data size: 354096 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (_col1 > (UDFToDouble(2) * _col2)) (type: boolean) Statistics: Num rows: 4918 Data size: 118032 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int) outputColumnNames: _col0 Statistics: Num rows: 4918 Data size: 39344 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: 4918 Data size: 39344 Basic stats: COMPLETE Column stats: COMPLETE Execution mode: vectorized Reducer 17 Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) mode: mergepartial outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: bigint) outputColumnNames: _col0 Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false Statistics: Num rows: 1 Data size: 8 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 Execution mode: vectorized Stage: Stage-0 Fetch Operator limit: -1 Processor Tree: ListSink Time taken: 12.6 seconds, Fetched: 738 row(s) {code} Looks like an overflow is happening and key count gets set to Integer.MAX_VALUE then nextHighestPowerOfTwo overflows to Integer.MIN_VALUE {code} 2014-10-13 23:18:08,215 INFO [TezChild] org.apache.hadoop.hive.ql.exec.persistence.HashMapWrapper: Key count from statistics is 82196998197460864; setting map size to 2147483647 2014-10-13 23:18:08,215 INFO [TezChild] org.apache.hadoop.hive.ql.exec.persistence.BytesBytesMultiHashMap: initialCapacity in :2147483647 2014-10-13 23:18:08,215 INFO [TezChild] org.apache.hadoop.hive.ql.exec.persistence.BytesBytesMultiHashMap: initialCapacity out :-2147483648 {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332)