You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@hive.apache.org by "Prasanth J (JIRA)" <ji...@apache.org> on 2014/10/28 01:19:34 UTC
[jira] [Resolved] (HIVE-8454) Select Operator does not rename
column stats properly in case of select star
[ https://issues.apache.org/jira/browse/HIVE-8454?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Prasanth J resolved HIVE-8454.
------------------------------
Resolution: Fixed
Committed to trunk and branch-0.14
> 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, HIVE-8454.3.patch, HIVE-8454.3.patch, HIVE-8454.4.patch, HIVE-8454.5.patch, HIVE-8454.6.patch, HIVE-8454.7.patch, HIVE-8474.7.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.<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)