[
https://issues.apache.org/jira/browse/DRILL-5327?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16115149#comment-16115149
]
Jinfeng Ni commented on DRILL-5327:
-----------------------------------
I run tpcds- q66 on tpcds-sf1 text dataset on 1.11.0 on a cluster of 2 nodes,
and the query failed with a different error which seems to also related to
schema change.
{code}
Error: SYSTEM ERROR: IllegalStateException: Failure while reading vector.
Expected vector class of org.apache.drill.exec.vector.NullableIntVector but was
holding vector class org.apache.drill.exec.vector.NullableVarCharVector, field=
w_warehouse_name(VARCHAR(200):OPTIONAL) [$bits$(UINT1:REQUIRED),
w_warehouse_name(VARCHAR(200):OPTIONAL) [$offsets$(UINT4:REQUIRED)]]
{code}
With the patch for DRILL-5546, the q66 run successfully in multiple times.
{code}
+-----------------------+--------------------+-----------+--------------------+----------+----------------+----------------+--------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------------+-----------------------+-----------------------+----------------------+-----------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------------+----------------------+-----------------------+----------------------+-----------------------+
| w_warehouse_name | w_warehouse_sq_ft | w_city | w_county |
w_state | w_country | ship_carriers | year1 | jan_sales |
feb_sales | mar_sales | apr_sales |
may_sales | jun_sales | jul_sales |
aug_sales | sep_sales | oct_sales |
nov_sales | dec_sales | jan_sales_per_sq_foot |
feb_sales_per_sq_foot | mar_sales_per_sq_foot | apr_sales_per_sq_foot |
may_sales_per_sq_foot | jun_sales_per_sq_foot | jul_sales_per_sq_foot |
aug_sales_per_sq_foot | sep_sales_per_sq_foot | oct_sales_per_sq_foot |
nov_sales_per_sq_foot | dec_sales_per_sq_foot | jan_net |
feb_net | mar_net | apr_net |
may_net | jun_net | jul_net | aug_net
| sep_net | oct_net | nov_net |
dec_net |
+-----------------------+--------------------+-----------+--------------------+----------+----------------+----------------+--------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------------+-----------------------+-----------------------+----------------------+-----------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------------+----------------------+-----------------------+----------------------+-----------------------+
| Bad cards must make. | 621234 | Fairview | Williamson County |
TN | United States | ZOUROS,ZHOU | 1998 | 1.7895281680000003E7 |
2.105534367E7 | 1.494257482E7 | 1.6786960909999996E7 |
2.9326997819999997E7 | 1.771871621E7 | 2.128628804E7 |
4.156471438000001E7 | 4.39726708E7 | 3.636744521E7 |
5.921482304000004E7 | 7.160199778999999E7 | null | NaN
| null | null | null
| null | null | null
| null | null | null
| null | 1.872240875E7 | 2.1751827040000007E7 |
1.5031942330000002E7 | 1.551366257E7 | 2.867464643E7 |
1.9541069490000002E7 | 2.141437321E7 | 4.615270391000001E7 |
4.655948892E7 | 3.913212232E7 | 6.467676385000001E7 |
7.453110485999998E7 |
| Conventional childr | 977787 | Fairview | Williamson County |
TN | United States | ZOUROS,ZHOU | 1998 | 1.999983924E7 |
1.2437056879999999E7 | 1.5585710529999994E7 | 2.750616177E7 |
2.4131745499999996E7 | 1.7114174979999997E7 | 1.718943811E7 |
3.587620927E7 | 3.850794516E7 | 4.673179192E7 |
5.229720881E7 | 6.4427886379999995E7 | null | NaN
| null | null | null
| null | null | null
| null | null | null
| null | 2.1857524939999998E7 | 1.391978779E7 |
1.5579168019999996E7 | 2.668792055E7 | 2.4782953539999995E7 |
1.7879288519999996E7 | 1.8694541619999997E7 | 3.737911198E7 |
3.946605507999999E7 | 4.90502998E7 | 5.518650689E7 |
7.322130477000001E7 |
| Doors canno | 294242 | Fairview | Williamson County |
TN | United States | ZOUROS,ZHOU | 1998 | 1.583061318E7 |
2.0871955020000003E7 | 2.040936734E7 | 2.4405087869999997E7 |
2.1985274009999998E7 | 1.5283262570000002E7 | 1.479048741E7 |
3.485467343E7 | 4.220699558E7 | 4.4218854550000004E7 |
6.120834945E7 | 5.426903902000001E7 | null | NaN
| null | null | null
| null | null | null
| null | null | null
| null | 1.756375361E7 | 2.113350114E7 |
1.932301847E7 | 2.8898458470000006E7 | 2.5131198009999994E7 |
1.612344184E7 | 1.3890433170000002E7 | 3.843285613E7 |
4.385424222999999E7 | 5.0041018510000005E7 | 6.526011776000001E7 |
5.8429935760000005E7 |
| Important issues liv | 138504 | Fairview | Williamson County |
TN | United States | ZOUROS,ZHOU | 1998 | 2.0980321179999996E7 |
1.417435864E7 | 1.8756915189999998E7 | 1.658665833E7 |
1.8656897029999994E7 | 2.4979233810000002E7 | 1.9602412300000004E7 |
3.936814522E7 | 4.1149182800000004E7 | 4.083197007000001E7 |
7.322537116000003E7 | 6.358706866000001E7 | null | NaN
| null | null | null
| null | null | null
| null | null | null
| null | 2.1363019459999993E7 | 1.5933266760000002E7 |
1.832847682E7 | 1.706125381E7 | 1.980431299E7 |
2.688301643E7 | 2.0240164240000002E7 | 4.179461697000001E7 |
4.082932107000001E7 | 4.426378027000001E7 | 7.959791007999998E7 |
6.530625318000001E7 |
| null | null | Fairview | Williamson County |
TN | United States | ZOUROS,ZHOU | 1998 | 2.107754961E7 |
1.7189227050000004E7 | 1.7404323700000003E7 | 1.8908102909999996E7 |
1.6285662420000002E7 | 1.8500778700000003E7 | 1.7322239259999994E7 |
3.644408868999999E7 | 4.2712381879999995E7 | 3.5181388559999995E7 |
6.750091281E7 | 6.4034387639999956E7 | null | NaN
| null | null | null
| null | null | null
| null | null | null
| null | 2.155171713E7 | 1.912509567E7 |
1.6574806870000001E7 | 2.0705973540000007E7 | 1.6545966379999999E7 |
2.048446054E7 | 1.712386645E7 | 3.929974493999999E7 |
4.763222143000001E7 | 3.615190025999999E7 | 7.358634230000001E7 |
6.968475126999998E7 |
+-----------------------+--------------------+-----------+--------------------+----------+----------------+----------------+--------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------------+-----------------------+-----------------------+----------------------+-----------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+------------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+-----------------------+----------------------+----------------------+-----------------------+----------------------+-----------------------+
5 rows selected (18.071 seconds)
{code}
It seems that the patch for DRILL-5546 fixed the problem.
> Hash aggregate can return empty batch which can cause schema change exception
> -----------------------------------------------------------------------------
>
> Key: DRILL-5327
> URL: https://issues.apache.org/jira/browse/DRILL-5327
> Project: Apache Drill
> Issue Type: Bug
> Components: Functions - Drill
> Affects Versions: 1.10.0
> Reporter: Chun Chang
> Assignee: Jinfeng Ni
> Attachments: 271dbe08-c725-8e82-b6ea-53e9dab64e8b.sys.drill
>
>
> Hash aggregate can return empty batches which cause drill to throw schema
> change exception (not handling this type of schema change). This is not a new
> bug. But a recent hash function change (a theoretically correct change) may
> have increased the chance of hitting this issue. I don't have scientific data
> to support my claim (in fact I don't believe it's the case), but a regular
> regression run used to pass fails now due to this bug. My concern is that
> existing drill users out there may have queries that used to work but fail
> now. It will be difficult to explain why the new release is better for them.
> I put this bug as blocker so we can discuss it before releasing 1.10.
> {noformat}
> /root/drillAutomation/framework-master/framework/resources/Advanced/tpcds/tpcds_sf1/original/text/query66.sql
> Query:
> -- start query 66 in stream 0 using template query66.tpl
> 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
> Failed with exception
> java.sql.SQLException: UNSUPPORTED_OPERATION ERROR: Hash aggregate does not
> support schema changes
> Fragment 0:0
> [Error Id: 9af86933-491e-4ae4-b848-bf66cb4464f9 on atsqa6c88.qa.lab:31010]
> at
> org.apache.drill.jdbc.impl.DrillCursor.nextRowInternally(DrillCursor.java:489)
> at org.apache.drill.jdbc.impl.DrillCursor.next(DrillCursor.java:593)
> at
> oadd.org.apache.calcite.avatica.AvaticaResultSet.next(AvaticaResultSet.java:215)
> at
> org.apache.drill.jdbc.impl.DrillResultSetImpl.next(DrillResultSetImpl.java:140)
> at
> org.apache.drill.test.framework.DrillTestJdbc.executeQuery(DrillTestJdbc.java:218)
> at
> org.apache.drill.test.framework.DrillTestJdbc.run(DrillTestJdbc.java:101)
> at
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
> at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:744)
> Caused by: oadd.org.apache.drill.common.exceptions.UserRemoteException:
> UNSUPPORTED_OPERATION ERROR: Hash aggregate does not support schema changes
> Fragment 0:0
> [Error Id: 9af86933-491e-4ae4-b848-bf66cb4464f9 on atsqa6c88.qa.lab:31010]
> 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:343)
> at
> oadd.org.apache.drill.exec.rpc.user.UserClient.handle(UserClient.java:88)
> 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:89)
> at
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339)
> at
> oadd.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324)
> at
> oadd.io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:254)
> at
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339)
> at
> oadd.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324)
> at
> oadd.io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
> at
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339)
> at
> oadd.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324)
> at
> oadd.io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:242)
> at
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339)
> at
> oadd.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324)
> at
> oadd.io.netty.channel.ChannelInboundHandlerAdapter.channelRead(ChannelInboundHandlerAdapter.java:86)
> at
> oadd.io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:339)
> at
> oadd.io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:324)
> at
> oadd.io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:847)
> at
> oadd.io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131)
> at
> oadd.io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
> at
> oadd.io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
> at
> oadd.io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
> at oadd.io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
> at
> oadd.io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
> ... 1 more
> {noformat}
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
