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From Aman Sinha <amansi...@apache.org>
Subject Re: join fail
Date Tue, 10 May 2016 15:35:02 GMT
It's difficult to debug this type of issue over email thread.  However, 2
observations:
1.  The following Scan which is the table that is broadcast shows a
rowcount of 1.3M rows whereas your original email says the rowcount is 32M
rows.  Are you sure Can you confirm what is the correct row count ?  Has
ANALYZE been run on the Hive table ?

> Scan(groupscan=[HiveScan [table=Table(dbName:default,
> tableName:rankings_huge), columns=[`pageurl`, `pagerank`], numPartitions=0,
> partitions= null, inputDirectories=[hdfs://nameservice1/HiBench/huge/Join/Input/rankings]]])
> : rowType = RecordType(VARCHAR(65535) pageurl, INTEGER pagerank): *rowcount
> = 1364388.0*


2. Why are you even trying to do a broadcast join for this query ?  Did the
hash distribute join plan succeed or not ?

-Aman

On Tue, May 10, 2016 at 8:19 AM, Andries Engelbrecht <
aengelbrecht@maprtech.com> wrote:

> See if increasing planner.memory.max_query_memory_per_node helps. It is
> set to 2G by default.
>
> Also see
>
> https://community.mapr.com/thread/10329 <
> https://community.mapr.com/thread/10329>
> https://community.mapr.com/docs/DOC-1497 <
> https://community.mapr.com/docs/DOC-1497>
>
>
> --Andries
>
>
> > On May 10, 2016, at 12:06 AM, leezy <lizhenmxcz@163.com> wrote:
> >
> >
> >
> > I am sorry the picture cannot be read. here is the text:
> >
> >
> >
> >
> > | Minor Fragment ID | Host Name | Start | End | Runtime | Max Records |
> Max Batches | Last Update | Last Progress | Peak Memory | State |
> > | 05-00-xx | bigdata2 | 1.529s | 24m46s | 24m45s | 71,555,857 | 21,985 |
> 12:16:02 | 12:16:02 | 7.68GB | CANCELLATION_REQUESTED |
> > | 05-01-xx | bigdata4 | 1.566s | 24m47s | 24m45s | 71,567,860 | 21,990 |
> 12:16:02 | 12:16:02 | 7.69GB | CANCELLATION_REQUESTED |
> > | 05-02-xx | bigdata3 | 1.526s | 22m15s | 22m13s | 71,551,338 | 21,981 |
> 12:13:30 | 12:13:25 | 7.68GB | RUNNING |
> > | 05-03-xx | bigdata2 | 1.530s | 25m16s | 25m15s | 71,565,965 | 21,982 |
> 12:16:32 | 12:16:32 | 7.70GB | CANCELLATION_REQUESTED |
> > | 05-04-xx | bigdata4 | 1.567s | 25m17s | 25m15s | 71,556,216 | 21,988 |
> 12:16:32 | 12:16:32 | 7.70GB | CANCELLATION_REQUESTED |
> > | 05-05-xx | bigdata3 | 1.527s | 22m15s | 22m13s | 71,550,821 | 21,983 |
> 12:13:30 | 12:13:25 | 7.68GB | RUNNING |
> > | 05-06-xx | bigdata2 | 1.531s | 25m46s | 25m45s | 71,558,873 | 21,983 |
> 12:17:02 | 12:17:02 | 7.70GB | CANCELLATION_REQUESTED |
> > | 05-07-xx | bigdata4 | 1.568s | 25m47s | 25m45s | 71,558,657 | 21,982 |
> 12:17:02 | 12:17:02 | 7.67GB | CANCELLATION_REQUESTED |
> > | 05-08-xx | bigdata3 | 1.528s | 22m15s | 22m13s | 71,558,109 | 21,989 |
> 12:13:30 | 12:13:25 | 7.69GB | RUNNING |
> > | 05-09-xx | bigdata2 | 1.532s | 26m17s | 26m15s | 71,558,226 | 21,983 |
> 12:17:32 | 12:17:32 | 7.68GB | CANCELLATION_REQUESTED |
> > | 05-10-xx | bigdata4 | 1.568s | 26m17s | 26m15s | 71,558,359 | 21,980 |
> 12:17:32 | 12:17:32 | 7.68GB | CANCELLATION_REQUESTED |
> > | 05-11-xx | bigdata3 | 1.529s | 22m15s | 22m13s | 71,537,409 | 21,975 |
> 12:13:30 | 12:13:30 | 7.69GB | RUNNING |
> > | 05-12-xx | bigdata2 | 1.533s | 26m47s | 26m45s | 71,037,058 | 21,800 |
> 12:18:02 | 12:18:02 | 7.63GB | CANCELLATION_REQUESTED |
> > | 05-13-xx | bigdata4 | 1.569s | 26m47s | 26m45s | 71,040,788 | 21,805 |
> 12:18:02 | 12:18:02 | 7.64GB | CANCELLATION_REQUESTED |
> > | 05-14-xx | bigdata3 | 1.529s | 22m15s | 22m13s | 71,001,401 | 21,791 |
> 12:13:30 | 12:13:25 | 7.65GB | RUNNING |
> > | 05-15-xx | bigdata2 | 1.533s | 27m17s | 27m15s | 71,007,623 | 21,793 |
> 12:18:32 | 12:18:32 | 7.62GB | CANCELLATION_REQUESTED |
> > | 05-16-xx | bigdata4 | 1.570s | 27m17s | 27m15s | 71,029,560 | 21,793 |
> 12:18:32 | 12:18:32 | 7.63GB | CANCELLATION_REQUESTED |
> > | 05-17-xx | bigdata3 | 1.530s | 22m15s | 22m13s | 71,057,938 | 21,806 |
> 12:13:30 | 12:13:30 | 7.64GB | RUNNING |
> >
> >
> >
> > --
> >
> >
> > thanks for your regards.
> >
> >
> > At 2016-05-10 15:01:14, "leezy" <lizhenmxcz@163.com> wrote:
> >
> > here is the failure profiles. And i see the memory is not exceed 55G in
> each node.
> >
> >
> >
> >
> >
> >
> >
> > --
> >
> >
> > thanks for your regards.
> >
> >
> >
> >
> > At 2016-05-10 14:47:10, "leezy" <lizhenmxcz@163.com> wrote:
> >> Leon,thank you for your reply, yes, i have set the driver memory to 55G
> and the java heap memory to 8G. And this user case is run successfully in
> the impala that installed on the same cluster. But in drill , the cmd
> always show the follow errors:
> >> Error: RESOURCE ERROR: One or more nodes ran out of memory while
> executing the query.
> >>
> >> Failure allocating buffer.
> >> Fragment 3:6
> >>
> >> [Error Id: d623b6b2-279d-4d24-af4d-0b62554b440c on bigdata2:31010]
> (state=,code=0)
> >>
> >>
> >> i think i miss some configuration.
> >>
> >>
> >>
> >>
> >> --
> >>
> >>
> >> thanks for your regards.
> >>
> >>
> >>
> >>
> >> At 2016-05-10 13:51:12, "Leon Clayton" <lclayton@maprtech.com> wrote:
> >>> did you increase the memory setting for Drill from the default?
> >>>
> >>> https://drill.apache.org/docs/configuring-drill-memory/ <
> https://drill.apache.org/docs/configuring-drill-memory/>
> >>>
> >>>
> >>>> On 10 May 2016, at 02:25, lizhenmxcz@163.com wrote:
> >>>>
> >>>>
> >>>> hi:
> >>>> i run join operation in the drill, i use broadcast and put the small
> table in the right. The small table has 32000000 rows. I have set the
> planner.broadcast_threshold to 100000000. The cluster has three nodes and
> every node has 64G memory. when join is running, the memory is increasing
> untill the driilbit process exit. But the same query is run successful in
> the impala and they are in the same cluster.
> >>>> here is the query plan.
> >>>>
> >>>> 00-00    Screen : rowType = RecordType(VARCHAR(65535) sourceIP,
> DOUBLE totalRevenue, ANY avgPageRank): rowcount = 1.0, cumulative cost =
> {5.294005617599999E8 rows, 6.356723058846001E10 cpu, 0.0 io,
> 1.4803953770495996E11 network, 9.1066982688E8 memory}, id = 5015
> >>>> 00-01      Project(sourceIP=[$0], totalRevenue=[$1],
> avgPageRank=[$2]) : rowType = RecordType(VARCHAR(65535) sourceIP, DOUBLE
> totalRevenue, ANY avgPageRank): rowcount = 1.0, cumulative cost =
> {5.2940056165999985E8 rows, 6.356723058836001E10 cpu, 0.0 io,
> 1.4803953770495996E11 network, 9.1066982688E8 memory}, id = 5014
> >>>> 00-02        SelectionVectorRemover : rowType =
> RecordType(VARCHAR(65535) sourceIP, DOUBLE totalRevenue, ANY avgPageRank):
> rowcount = 1.0, cumulative cost = {5.2940056165999985E8 rows,
> 6.356723058836001E10 cpu, 0.0 io, 1.4803953770495996E11 network,
> 9.1066982688E8 memory}, id = 5013
> >>>> 00-03          Limit(fetch=[1]) : rowType = RecordType(VARCHAR(65535)
> sourceIP, DOUBLE totalRevenue, ANY avgPageRank): rowcount = 1.0, cumulative
> cost = {5.2940056065999985E8 rows, 6.356723058736001E10 cpu, 0.0 io,
> 1.4803953770495996E11 network, 9.1066982688E8 memory}, id = 5012
> >>>> 00-04            SingleMergeExchange(sort0=[1 DESC]) : rowType =
> RecordType(VARCHAR(65535) sourceIP, DOUBLE totalRevenue, ANY avgPageRank):
> rowcount = 457983.77999999997, cumulative cost = {5.2940055965999985E8
> rows, 6.356723058336001E10 cpu, 0.0 io, 1.4803953770495996E11 network,
> 9.1066982688E8 memory}, id = 5011
> >>>> 01-01              SelectionVectorRemover : rowType =
> RecordType(VARCHAR(65535) sourceIP, DOUBLE totalRevenue, ANY avgPageRank):
> rowcount = 457983.77999999997, cumulative cost = {5.289425758799999E8 rows,
> 6.356173477800001E10 cpu, 0.0 io, 1.4241183301631998E11 network,
> 9.1066982688E8 memory}, id = 5010
> >>>> 01-02                TopN(limit=[1]) : rowType =
> RecordType(VARCHAR(65535) sourceIP, DOUBLE totalRevenue, ANY avgPageRank):
> rowcount = 457983.77999999997, cumulative cost = {5.284845920999999E8 rows,
> 6.356127679422001E10 cpu, 0.0 io, 1.4241183301631998E11 network,
> 9.1066982688E8 memory}, id = 5009
> >>>> 01-03                  Project(sourceIP=[$0], totalRevenue=[$1],
> avgPageRank=[$2]) : rowType = RecordType(VARCHAR(65535) sourceIP, DOUBLE
> totalRevenue, ANY avgPageRank): rowcount = 457983.77999999997, cumulative
> cost = {5.2802660831999993E8 rows, 6.356127679422001E10 cpu, 0.0 io,
> 1.4241183301631998E11 network, 9.1066982688E8 memory}, id = 5008
> >>>> 01-04                    HashToRandomExchange(dist0=[[$1]]) : rowType
> = RecordType(VARCHAR(65535) sourceIP, DOUBLE totalRevenue, ANY avgPageRank,
> ANY E_X_P_R_H_A_S_H_F_I_E_L_D): rowcount = 457983.77999999997, cumulative
> cost = {5.2802660831999993E8 rows, 6.356127679422001E10 cpu, 0.0 io,
> 1.4241183301631998E11 network, 9.1066982688E8 memory}, id = 5007
> >>>> 02-01                      UnorderedMuxExchange : rowType =
> RecordType(VARCHAR(65535) sourceIP, DOUBLE totalRevenue, ANY avgPageRank,
> ANY E_X_P_R_H_A_S_H_F_I_E_L_D): rowcount = 457983.77999999997, cumulative
> cost = {5.2756862453999996E8 rows, 6.3553949053740005E10 cpu, 0.0 io,
> 1.3490822676479999E11 network, 9.1066982688E8 memory}, id = 5006
> >>>> 03-01                        Project(sourceIP=[$0],
> totalRevenue=[$1], avgPageRank=[$2],
> E_X_P_R_H_A_S_H_F_I_E_L_D=[hash32AsDouble($1)]) : rowType =
> RecordType(VARCHAR(65535) sourceIP, DOUBLE totalRevenue, ANY avgPageRank,
> ANY E_X_P_R_H_A_S_H_F_I_E_L_D): rowcount = 457983.77999999997, cumulative
> cost = {5.2711064076E8 rows, 6.355349106996001E10 cpu, 0.0 io,
> 1.3490822676479999E11 network, 9.1066982688E8 memory}, id = 5005
> >>>> 03-02                          Project(sourceIP=[$0],
> totalRevenue=[CASE(=($4, 0), null, $3)],
> avgPageRank=[CAST(/(CastHigh(CASE(=($2, 0), null, $1)), $2)):ANY NOT NULL])
> : rowType = RecordType(VARCHAR(65535) sourceIP, DOUBLE totalRevenue, ANY
> avgPageRank): rowcount = 457983.77999999997, cumulative cost =
> {5.2665265698E8 rows, 6.3551659134840004E10 cpu, 0.0 io,
> 1.3490822676479999E11 network, 9.1066982688E8 memory}, id = 5004
> >>>> 03-03                            HashAgg(group=[{0}],
> agg#0=[$SUM0($1)], agg#1=[$SUM0($2)], agg#2=[$SUM0($3)], agg#3=[$SUM0($4)])
> : rowType = RecordType(VARCHAR(65535) sourceIP, INTEGER $f1, BIGINT $f2,
> DOUBLE $f3, BIGINT $f4): rowcount = 457983.77999999997, cumulative cost =
> {5.2619467320000005E8 rows, 6.3547995264600006E10 cpu, 0.0 io,
> 1.3490822676479999E11 network, 9.1066982688E8 memory}, id = 5003
> >>>> 03-04                              Project(sourceIP=[$0], $f1=[$1],
> $f2=[$2], $f3=[$3], $f4=[$4]) : rowType = RecordType(VARCHAR(65535)
> sourceIP, INTEGER $f1, BIGINT $f2, DOUBLE $f3, BIGINT $f4): rowcount =
> 4579837.8, cumulative cost = {5.2161483540000004E8 rows, 6.32915243478E10
> cpu, 0.0 io, 1.3490822676479999E11 network, 8.300646816E8 memory}, id = 5002
> >>>> 03-05
> HashToRandomExchange(dist0=[[$0]]) : rowType = RecordType(VARCHAR(65535)
> sourceIP, INTEGER $f1, BIGINT $f2, DOUBLE $f3, BIGINT $f4, ANY
> E_X_P_R_H_A_S_H_F_I_E_L_D): rowcount = 4579837.8, cumulative cost =
> {5.2161483540000004E8 rows, 6.32915243478E10 cpu, 0.0 io,
> 1.3490822676479999E11 network, 8.300646816E8 memory}, id = 5001
> >>>> 04-01                                  UnorderedMuxExchange : rowType
> = RecordType(VARCHAR(65535) sourceIP, INTEGER $f1, BIGINT $f2, DOUBLE $f3,
> BIGINT $f4, ANY E_X_P_R_H_A_S_H_F_I_E_L_D): rowcount = 4579837.8,
> cumulative cost = {5.170349976E8 rows, 6.3218246943E10 cpu, 0.0 io,
> 2.2354132992E10 network, 8.300646816E8 memory}, id = 5000
> >>>> 05-01                                    Project(sourceIP=[$0],
> $f1=[$1], $f2=[$2], $f3=[$3], $f4=[$4],
> E_X_P_R_H_A_S_H_F_I_E_L_D=[hash32AsDouble($0)]) : rowType =
> RecordType(VARCHAR(65535) sourceIP, INTEGER $f1, BIGINT $f2, DOUBLE $f3,
> BIGINT $f4, ANY E_X_P_R_H_A_S_H_F_I_E_L_D): rowcount = 4579837.8,
> cumulative cost = {5.124551598E8 rows, 6.32136671052E10 cpu, 0.0 io,
> 2.2354132992E10 network, 8.300646816E8 memory}, id = 4999
> >>>> 05-02                                      HashAgg(group=[{0}],
> agg#0=[$SUM0($1)], agg#1=[COUNT($1)], agg#2=[$SUM0($2)], agg#3=[COUNT($2)])
> : rowType = RecordType(VARCHAR(65535) sourceIP, INTEGER $f1, BIGINT $f2,
> DOUBLE $f3, BIGINT $f4): rowcount = 4579837.8, cumulative cost =
> {5.07875322E8 rows, 6.3195347754E10 cpu, 0.0 io, 2.2354132992E10 network,
> 8.300646816E8 memory}, id = 4998
> >>>> 05-03                                        Project(sourceIP=[$0],
> pagerank=[$5], adrevenue=[$3]) : rowType = RecordType(VARCHAR(65535)
> sourceIP, INTEGER pagerank, DOUBLE adrevenue): rowcount = 4.5798378E7,
> cumulative cost = {4.62076944E8 rows, 6.0630638586E10 cpu, 0.0 io,
> 2.2354132992E10 network, 2.40132288E7 memory}, id = 4997
> >>>> 05-04
> HashJoin(condition=[=($4, $1)], joinType=[inner]) : rowType =
> RecordType(VARCHAR(65535) sourceip, VARCHAR(65535) desturl, VARCHAR(65535)
> visitdate, DOUBLE adrevenue, VARCHAR(65535) pageurl, INTEGER pagerank):
> rowcount = 4.5798378E7, cumulative cost = {4.62076944E8 rows,
> 6.0630638586E10 cpu, 0.0 io, 2.2354132992E10 network, 2.40132288E7 memory},
> id = 4996
> >>>> 05-06
> SelectionVectorRemover : rowType = RecordType(VARCHAR(65535) sourceip,
> VARCHAR(65535) desturl, VARCHAR(65535) visitdate, DOUBLE adrevenue):
> rowcount = 4.5798378E7, cumulative cost = {4.12185402E8 rows,
> 5.9950076802E10 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 4993
> >>>> 05-07
> Filter(condition=[AND(>=(DATEDIFF($2, '1980-01-01'), 0), <=(DATEDIFF($2,
> '1980-04-01'), 0))]) : rowType = RecordType(VARCHAR(65535) sourceip,
> VARCHAR(65535) desturl, VARCHAR(65535) visitdate, DOUBLE adrevenue):
> rowcount = 4.5798378E7, cumulative cost = {3.66387024E8 rows,
> 5.9904278424E10 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 4992
> >>>> 05-08
> Scan(groupscan=[HiveScan [table=Table(dbName:default,
> tableName:uservisits_copy_huge), columns=[`sourceip`, `desturl`,
> `visitdate`, `adrevenue`], numPartitions=0, partitions= null,
> inputDirectories=[hdfs://nameservice1/HiBench/huge/Join/Input/uservisits]]])
> : rowType = RecordType(VARCHAR(65535) sourceip, VARCHAR(65535) desturl,
> VARCHAR(65535) visitdate, DOUBLE adrevenue): rowcount = 1.83193512E8,
> cumulative cost = {1.83193512E8 rows, 5.862192384E10 cpu, 0.0 io, 0.0
> network, 0.0 memory}, id = 4991
> >>>> 05-05                                            BroadcastExchange :
> rowType = RecordType(VARCHAR(65535) pageurl, INTEGER pagerank): rowcount =
> 1364388.0, cumulative cost = {2728776.0 rows, 1.20066144E8 cpu, 0.0 io,
> 2.2354132992E10 network, 0.0 memory}, id = 4995
> >>>> 06-01
> Scan(groupscan=[HiveScan [table=Table(dbName:default,
> tableName:rankings_huge), columns=[`pageurl`, `pagerank`], numPartitions=0,
> partitions= null,
> inputDirectories=[hdfs://nameservice1/HiBench/huge/Join/Input/rankings]]])
> : rowType = RecordType(VARCHAR(65535) pageurl, INTEGER pagerank): rowcount
> = 1364388.0, cumulative cost = {1364388.0 rows, 1.0915104E8 cpu, 0.0 io,
> 0.0 network, 0.0 memory}, id = 4994
> >>>> --
> >>>>
> >>>> thanks for your regards.
> >>>>
> >>>>
> >>>>
> >>>
> >
> >
> >
> >
> >
>
>

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