[ 
https://issues.apache.org/jira/browse/DRILL-6566?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16588284#comment-16588284
 ] 

ASF GitHub Bot commented on DRILL-6566:
---------------------------------------

Ben-Zvi opened a new pull request #1438: DRILL-6566: Reduce Hash Agg Batch size 
and estimate when low available memory
URL: https://github.com/apache/drill/pull/1438
 
 
   (1) First commit just renamed MAX_BATCH_SIZE to MAX_BATCH_ROW_COUNT in order 
to avoid confusion over "size".
   (2) 2nd commit: Addressing two issues: The configuration batch size (default 
16M) is taken as is (by the memory manager). And the (outgoing) batch size 
estimates are created early (when the outgoing is empty), based on 64K rows per 
batch.
      The change: Taking the Hash-Agg memory limit into account, and planning 
for multiple batches, the configured size (e.g. 16M) may be reduced to allow 
for the needed number of batches (this new size is given to the memory manager).
   Later when the estimates are made, that (possibly reduced) size is used to 
reduce the estimates, if needed.
   

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> Jenkins Regression: TPCDS query 66 fails with RESOURCE ERROR: One or more 
> nodes ran out of memory while executing the query.  AGGR OOM at First Phase.
> ------------------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: DRILL-6566
>                 URL: https://issues.apache.org/jira/browse/DRILL-6566
>             Project: Apache Drill
>          Issue Type: Bug
>          Components: Execution - Relational Operators
>    Affects Versions: 1.14.0
>            Reporter: Robert Hou
>            Assignee: Boaz Ben-Zvi
>            Priority: Critical
>             Fix For: 1.15.0
>
>         Attachments: drillbit.log.6566
>
>
> This is TPCDS Query 66.
> Query: tpcds/tpcds_sf1/hive-generated-parquet/hive1_native/query66.sql
> SELECT w_warehouse_name,
> w_warehouse_sq_ft,
> w_city,
> w_county,
> w_state,
> w_country,
> ship_carriers,
> year1,
> Sum(jan_sales)                     AS jan_sales,
> Sum(feb_sales)                     AS feb_sales,
> Sum(mar_sales)                     AS mar_sales,
> Sum(apr_sales)                     AS apr_sales,
> Sum(may_sales)                     AS may_sales,
> Sum(jun_sales)                     AS jun_sales,
> Sum(jul_sales)                     AS jul_sales,
> Sum(aug_sales)                     AS aug_sales,
> Sum(sep_sales)                     AS sep_sales,
> Sum(oct_sales)                     AS oct_sales,
> Sum(nov_sales)                     AS nov_sales,
> Sum(dec_sales)                     AS dec_sales,
> Sum(jan_sales / w_warehouse_sq_ft) AS jan_sales_per_sq_foot,
> Sum(feb_sales / w_warehouse_sq_ft) AS feb_sales_per_sq_foot,
> Sum(mar_sales / w_warehouse_sq_ft) AS mar_sales_per_sq_foot,
> Sum(apr_sales / w_warehouse_sq_ft) AS apr_sales_per_sq_foot,
> Sum(may_sales / w_warehouse_sq_ft) AS may_sales_per_sq_foot,
> Sum(jun_sales / w_warehouse_sq_ft) AS jun_sales_per_sq_foot,
> Sum(jul_sales / w_warehouse_sq_ft) AS jul_sales_per_sq_foot,
> Sum(aug_sales / w_warehouse_sq_ft) AS aug_sales_per_sq_foot,
> Sum(sep_sales / w_warehouse_sq_ft) AS sep_sales_per_sq_foot,
> Sum(oct_sales / w_warehouse_sq_ft) AS oct_sales_per_sq_foot,
> Sum(nov_sales / w_warehouse_sq_ft) AS nov_sales_per_sq_foot,
> Sum(dec_sales / w_warehouse_sq_ft) AS dec_sales_per_sq_foot,
> Sum(jan_net)                       AS jan_net,
> Sum(feb_net)                       AS feb_net,
> Sum(mar_net)                       AS mar_net,
> Sum(apr_net)                       AS apr_net,
> Sum(may_net)                       AS may_net,
> Sum(jun_net)                       AS jun_net,
> Sum(jul_net)                       AS jul_net,
> Sum(aug_net)                       AS aug_net,
> Sum(sep_net)                       AS sep_net,
> Sum(oct_net)                       AS oct_net,
> Sum(nov_net)                       AS nov_net,
> Sum(dec_net)                       AS dec_net
> FROM   (SELECT w_warehouse_name,
> w_warehouse_sq_ft,
> w_city,
> w_county,
> w_state,
> w_country,
> 'ZOUROS'
> \|\| ','
> \|\| 'ZHOU' AS ship_carriers,
> d_year    AS year1,
> Sum(CASE
> WHEN d_moy = 1 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS jan_sales,
> Sum(CASE
> WHEN d_moy = 2 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS feb_sales,
> Sum(CASE
> WHEN d_moy = 3 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS mar_sales,
> Sum(CASE
> WHEN d_moy = 4 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS apr_sales,
> Sum(CASE
> WHEN d_moy = 5 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS may_sales,
> Sum(CASE
> WHEN d_moy = 6 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS jun_sales,
> Sum(CASE
> WHEN d_moy = 7 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS jul_sales,
> Sum(CASE
> WHEN d_moy = 8 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS aug_sales,
> Sum(CASE
> WHEN d_moy = 9 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS sep_sales,
> Sum(CASE
> WHEN d_moy = 10 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS oct_sales,
> Sum(CASE
> WHEN d_moy = 11 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS nov_sales,
> Sum(CASE
> WHEN d_moy = 12 THEN ws_ext_sales_price * ws_quantity
> ELSE 0
> END)  AS dec_sales,
> Sum(CASE
> WHEN d_moy = 1 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS jan_net,
> Sum(CASE
> WHEN d_moy = 2 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS feb_net,
> Sum(CASE
> WHEN d_moy = 3 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS mar_net,
> Sum(CASE
> WHEN d_moy = 4 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS apr_net,
> Sum(CASE
> WHEN d_moy = 5 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS may_net,
> Sum(CASE
> WHEN d_moy = 6 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS jun_net,
> Sum(CASE
> WHEN d_moy = 7 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS jul_net,
> Sum(CASE
> WHEN d_moy = 8 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS aug_net,
> Sum(CASE
> WHEN d_moy = 9 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS sep_net,
> Sum(CASE
> WHEN d_moy = 10 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS oct_net,
> Sum(CASE
> WHEN d_moy = 11 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS nov_net,
> Sum(CASE
> WHEN d_moy = 12 THEN ws_net_paid_inc_ship * ws_quantity
> ELSE 0
> END)  AS dec_net
> FROM   web_sales,
> warehouse,
> date_dim,
> time_dim,
> ship_mode
> WHERE  ws_warehouse_sk = w_warehouse_sk
> AND ws_sold_date_sk = d_date_sk
> AND ws_sold_time_sk = t_time_sk
> AND ws_ship_mode_sk = sm_ship_mode_sk
> AND d_year = 1998
> AND t_time BETWEEN 7249 AND 7249 + 28800
> AND sm_carrier IN ( 'ZOUROS', 'ZHOU' )
> GROUP  BY w_warehouse_name,
> w_warehouse_sq_ft,
> w_city,
> w_county,
> w_state,
> w_country,
> d_year
> UNION ALL
> SELECT w_warehouse_name,
> w_warehouse_sq_ft,
> w_city,
> w_county,
> w_state,
> w_country,
> 'ZOUROS'
> \|\| ','
> \|\| 'ZHOU' AS ship_carriers,
> d_year    AS year1,
> Sum(CASE
> WHEN d_moy = 1 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS jan_sales,
> Sum(CASE
> WHEN d_moy = 2 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS feb_sales,
> Sum(CASE
> WHEN d_moy = 3 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS mar_sales,
> Sum(CASE
> WHEN d_moy = 4 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS apr_sales,
> Sum(CASE
> WHEN d_moy = 5 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS may_sales,
> Sum(CASE
> WHEN d_moy = 6 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS jun_sales,
> Sum(CASE
> WHEN d_moy = 7 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS jul_sales,
> Sum(CASE
> WHEN d_moy = 8 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS aug_sales,
> Sum(CASE
> WHEN d_moy = 9 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS sep_sales,
> Sum(CASE
> WHEN d_moy = 10 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS oct_sales,
> Sum(CASE
> WHEN d_moy = 11 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS nov_sales,
> Sum(CASE
> WHEN d_moy = 12 THEN cs_ext_sales_price * cs_quantity
> ELSE 0
> END)  AS dec_sales,
> Sum(CASE
> WHEN d_moy = 1 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS jan_net,
> Sum(CASE
> WHEN d_moy = 2 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS feb_net,
> Sum(CASE
> WHEN d_moy = 3 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS mar_net,
> Sum(CASE
> WHEN d_moy = 4 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS apr_net,
> Sum(CASE
> WHEN d_moy = 5 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS may_net,
> Sum(CASE
> WHEN d_moy = 6 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS jun_net,
> Sum(CASE
> WHEN d_moy = 7 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS jul_net,
> Sum(CASE
> WHEN d_moy = 8 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS aug_net,
> Sum(CASE
> WHEN d_moy = 9 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS sep_net,
> Sum(CASE
> WHEN d_moy = 10 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS oct_net,
> Sum(CASE
> WHEN d_moy = 11 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS nov_net,
> Sum(CASE
> WHEN d_moy = 12 THEN cs_net_paid * cs_quantity
> ELSE 0
> END)  AS dec_net
> FROM   catalog_sales,
> warehouse,
> date_dim,
> time_dim,
> ship_mode
> WHERE  cs_warehouse_sk = w_warehouse_sk
> AND cs_sold_date_sk = d_date_sk
> AND cs_sold_time_sk = t_time_sk
> AND cs_ship_mode_sk = sm_ship_mode_sk
> AND d_year = 1998
> AND t_time BETWEEN 7249 AND 7249 + 28800
> AND sm_carrier IN ( 'ZOUROS', 'ZHOU' )
> GROUP  BY w_warehouse_name,
> w_warehouse_sq_ft,
> w_city,
> w_county,
> w_state,
> w_country,
> d_year) x
> GROUP  BY w_warehouse_name,
> w_warehouse_sq_ft,
> w_city,
> w_county,
> w_state,
> w_country,
> ship_carriers,
> year1
> ORDER  BY w_warehouse_name
> LIMIT 100;
> Here is the error message with stack trace:
> java.sql.SQLException: RESOURCE ERROR: One or more nodes ran out of memory 
> while executing the query.
> AGGR OOM at First Phase. Partitions: 1. Estimated batch size: 31260672. 
> values size: 25165824. Output alloc size: 25165824. Planned batches: 1 Memory 
> limit: 2302755 so far allocated: 262144. 
> Fragment 6:1
> [Error Id: 660fd3f9-bb90-4245-b63c-208fc37c0199 on atsqa6c82.qa.lab:31010]
>   (org.apache.drill.exec.exception.OutOfMemoryException) AGGR OOM at First 
> Phase. Partitions: 1. Estimated batch size: 31260672. values size: 25165824. 
> Output alloc size: 25165824. Planned batches: 1 Memory limit: 2302755 so far 
> allocated: 262144. 
>     
> org.apache.drill.exec.test.generated.HashAggregatorGen15454.spillIfNeeded():1468
>     org.apache.drill.exec.test.generated.HashAggregatorGen15454.doSpill():1430
>     
> org.apache.drill.exec.test.generated.HashAggregatorGen15454.checkGroupAndAggrValues():1353
>     org.apache.drill.exec.test.generated.HashAggregatorGen15454.doWork():587
>     org.apache.drill.exec.physical.impl.aggregate.HashAggBatch.innerNext():184
>     org.apache.drill.exec.record.AbstractRecordBatch.next():172
>     org.apache.drill.exec.record.AbstractRecordBatch.next():119
>     org.apache.drill.exec.record.AbstractRecordBatch.next():109
>     org.apache.drill.exec.record.AbstractUnaryRecordBatch.innerNext():63
>     
> org.apache.drill.exec.physical.impl.project.ProjectRecordBatch.innerNext():147
>     org.apache.drill.exec.record.AbstractRecordBatch.next():172
>     org.apache.drill.exec.physical.impl.BaseRootExec.next():103
>     
> org.apache.drill.exec.physical.impl.SingleSenderCreator$SingleSenderRootExec.innerNext():93
>     org.apache.drill.exec.physical.impl.BaseRootExec.next():93
>     org.apache.drill.exec.work.fragment.FragmentExecutor$1.run():294
>     org.apache.drill.exec.work.fragment.FragmentExecutor$1.run():281
>     java.security.AccessController.doPrivileged():-2
>     javax.security.auth.Subject.doAs():422
>     org.apache.hadoop.security.UserGroupInformation.doAs():1595
>     org.apache.drill.exec.work.fragment.FragmentExecutor.run():281
>     org.apache.drill.common.SelfCleaningRunnable.run():38
>     java.util.concurrent.ThreadPoolExecutor.runWorker():1149
>     java.util.concurrent.ThreadPoolExecutor$Worker.run():624
>     java.lang.Thread.run():748
>       at 
> org.apache.drill.jdbc.impl.DrillCursor.nextRowInternally(DrillCursor.java:528)
>       at org.apache.drill.jdbc.impl.DrillCursor.next(DrillCursor.java:632)
>       at 
> oadd.org.apache.calcite.avatica.AvaticaResultSet.next(AvaticaResultSet.java:207)
>       at 
> org.apache.drill.jdbc.impl.DrillResultSetImpl.next(DrillResultSetImpl.java:153)
>       at 
> org.apache.drill.test.framework.DrillTestJdbc.executeQuery(DrillTestJdbc.java:253)
>       at 
> org.apache.drill.test.framework.DrillTestJdbc.run(DrillTestJdbc.java:115)
>       at 
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
>       at java.util.concurrent.FutureTask.run(FutureTask.java:266)
>       at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
>       at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
>       at java.lang.Thread.run(Thread.java:748)
> Caused by: oadd.org.apache.drill.common.exceptions.UserRemoteException: 
> RESOURCE ERROR: One or more nodes ran out of memory while executing the query.
> AGGR OOM at First Phase. Partitions: 1. Estimated batch size: 31260672. 
> values size: 25165824. Output alloc size: 25165824. Planned batches: 1 Memory 
> limit: 2302755 so far allocated: 262144. 
> Fragment 6:1
> [Error Id: 660fd3f9-bb90-4245-b63c-208fc37c0199 on atsqa6c82.qa.lab:31010]
>   (org.apache.drill.exec.exception.OutOfMemoryException) AGGR OOM at First 
> Phase. Partitions: 1. Estimated batch size: 31260672. values size: 25165824. 
> Output alloc size: 25165824. Planned batches: 1 Memory limit: 2302755 so far 
> allocated: 262144. 
>     
> org.apache.drill.exec.test.generated.HashAggregatorGen15454.spillIfNeeded():1468
>     org.apache.drill.exec.test.generated.HashAggregatorGen15454.doSpill():1430
>     
> org.apache.drill.exec.test.generated.HashAggregatorGen15454.checkGroupAndAggrValues():1353
>     org.apache.drill.exec.test.generated.HashAggregatorGen15454.doWork():587
>     org.apache.drill.exec.physical.impl.aggregate.HashAggBatch.innerNext():184
>     org.apache.drill.exec.record.AbstractRecordBatch.next():172
>     org.apache.drill.exec.record.AbstractRecordBatch.next():119
>     org.apache.drill.exec.record.AbstractRecordBatch.next():109
>     org.apache.drill.exec.record.AbstractUnaryRecordBatch.innerNext():63
>     
> org.apache.drill.exec.physical.impl.project.ProjectRecordBatch.innerNext():147
>     org.apache.drill.exec.record.AbstractRecordBatch.next():172
>     org.apache.drill.exec.physical.impl.BaseRootExec.next():103
>     
> org.apache.drill.exec.physical.impl.SingleSenderCreator$SingleSenderRootExec.innerNext():93
>     org.apache.drill.exec.physical.impl.BaseRootExec.next():93
>     org.apache.drill.exec.work.fragment.FragmentExecutor$1.run():294
>     org.apache.drill.exec.work.fragment.FragmentExecutor$1.run():281
>     java.security.AccessController.doPrivileged():-2
>     javax.security.auth.Subject.doAs():422
>     org.apache.hadoop.security.UserGroupInformation.doAs():1595
>     org.apache.drill.exec.work.fragment.FragmentExecutor.run():281
>     org.apache.drill.common.SelfCleaningRunnable.run():38
>     java.util.concurrent.ThreadPoolExecutor.runWorker():1149
>     java.util.concurrent.ThreadPoolExecutor$Worker.run():624
>     java.lang.Thread.run():748
>       at 
> oadd.org.apache.drill.exec.rpc.user.QueryResultHandler.resultArrived(QueryResultHandler.java:123)
>       at 
> oadd.org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:422)
>       at 
> oadd.org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:96)
>       at 
> oadd.org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:274)
>       at 
> oadd.org.apache.drill.exec.rpc.RpcBus$InboundHandler.decode(RpcBus.java:244)
>       at 
> oadd.io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:88)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:356)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:342)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:335)
>       at 
> oadd.io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:287)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:356)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:342)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:335)
>       at 
> oadd.io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:102)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:356)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:342)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:335)
>       at 
> oadd.io.netty.handler.codec.ByteToMessageDecoder.fireChannelRead(ByteToMessageDecoder.java:312)
>       at 
> oadd.io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:286)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:356)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:342)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:335)
>       at 
> oadd.io.netty.channel.ChannelInboundHandlerAdapter.channelRead(ChannelInboundHandlerAdapter.java:86)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:356)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:342)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:335)
>       at 
> oadd.io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1294)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:356)
>       at 
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:342)
>       at 
> oadd.io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:911)
>       at 
> oadd.io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131)
>       at 
> oadd.io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:645)
>       at 
> oadd.io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:580)
>       at 
> oadd.io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:497)
>       at oadd.io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:459)
>       at 
> oadd.io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:131)
>       ... 1 more
> Here is the commit id:
> 1.14.0-SNAPSHOT 140d09e69b65ac2cb1bed09a37fa5861d39a99b3        DRILL-6539: 
> Record count not set for this vector container error        28.06.2018 @ 
> 16:13:20 PDT       Unknown 28.06.2018 @ 16:21:42 PDT



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