Return-Path: X-Original-To: apmail-hive-dev-archive@www.apache.org Delivered-To: apmail-hive-dev-archive@www.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id C973317A63 for ; Thu, 23 Oct 2014 10:48:35 +0000 (UTC) Received: (qmail 36442 invoked by uid 500); 23 Oct 2014 10:48:35 -0000 Delivered-To: apmail-hive-dev-archive@hive.apache.org Received: (qmail 36363 invoked by uid 500); 23 Oct 2014 10:48:35 -0000 Mailing-List: contact dev-help@hive.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@hive.apache.org Delivered-To: mailing list dev@hive.apache.org Received: (qmail 36351 invoked by uid 500); 23 Oct 2014 10:48:35 -0000 Delivered-To: apmail-hadoop-hive-dev@hadoop.apache.org Received: (qmail 36348 invoked by uid 99); 23 Oct 2014 10:48:35 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 23 Oct 2014 10:48:35 +0000 Date: Thu, 23 Oct 2014 10:48:35 +0000 (UTC) From: "Hive QA (JIRA)" To: hive-dev@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (HIVE-8454) Select Operator does not rename column stats properly in case of select star MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/HIVE-8454?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14181226#comment-14181226 ] Hive QA commented on HIVE-8454: ------------------------------- {color:red}Overall{color}: -1 at least one tests failed Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12676496/HIVE-8454.2.patch {color:red}ERROR:{color} -1 due to 6 failed/errored test(s), 6576 tests executed *Failed tests:* {noformat} org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_lateral_view org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_lateral_view_noalias org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_dynamic_partition_pruning org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_vectorization_part org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_vectorized_dynamic_partition_pruning org.apache.hive.minikdc.TestJdbcWithMiniKdc.testNegativeTokenAuth {noformat} Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/1411/testReport Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/1411/console Test logs: http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-1411/ Messages: {noformat} Executing org.apache.hive.ptest.execution.PrepPhase Executing org.apache.hive.ptest.execution.ExecutionPhase Executing org.apache.hive.ptest.execution.ReportingPhase Tests exited with: TestsFailedException: 6 tests failed {noformat} This message is automatically generated. ATTACHMENT ID: 12676496 - PreCommit-HIVE-TRUNK-Build > Select Operator does not rename column stats properly in case of select star > ---------------------------------------------------------------------------- > > Key: HIVE-8454 > URL: https://issues.apache.org/jira/browse/HIVE-8454 > Project: Hive > Issue Type: Sub-task > Components: Physical Optimizer > Affects Versions: 0.14.0 > Reporter: Mostafa Mokhtar > Assignee: Prasanth J > Priority: Critical > Fix For: 0.14.0 > > Attachments: HIVE-8454.1.patch, HIVE-8454.2.patch > > > The estimated data size of some Select Operators is 0. BytesBytesHashMap uses data size to determine the estimated initial number of entries in the hashmap. If this data size is 0 then exception is thrown (refer below) > 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.(BytesBytesMultiHashMap.java:159) > at org.apache.hadoop.hive.ql.exec.persistence.MapJoinBytesTableContainer.(MapJoinBytesTableContainer.java:73) > at org.apache.hadoop.hive.ql.exec.persistence.MapJoinBytesTableContainer.(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)