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From Jinho Kim <jh...@apache.org>
Subject Re: Some Tajo-0.9.0 questions
Date Mon, 19 Jan 2015 02:54:27 GMT
 Sorry for my mistake example query.
Can you change to “select count(a.auid) from ( select auid from
test_pl_00_0 group by auid ) a;” ?

-Jinho
Best regards

2015-01-19 11:44 GMT+09:00 Azuryy Yu <azuryyyu@gmail.com>:

> Sorry for no response during weekend.
> I changed hdfs-site.xml and restart hdfs and tajo.but  It's more slow than
> before.
>
> default> select count(a.auid) from ( select auid from test_pl_00_0 ) a;
> Progress: 0%, response time: 1.132 sec
> Progress: 0%, response time: 1.134 sec
> Progress: 0%, response time: 1.536 sec
> Progress: 0%, response time: 2.338 sec
> Progress: 0%, response time: 3.341 sec
> Progress: 3%, response time: 4.343 sec
> Progress: 4%, response time: 5.346 sec
> Progress: 9%, response time: 6.35 sec
> Progress: 11%, response time: 7.352 sec
> Progress: 16%, response time: 8.354 sec
> Progress: 18%, response time: 9.362 sec
> Progress: 24%, response time: 10.364 sec
> Progress: 27%, response time: 11.366 sec
> Progress: 29%, response time: 12.368 sec
> Progress: 32%, response time: 13.37 sec
> Progress: 37%, response time: 14.373 sec
> Progress: 40%, response time: 15.377 sec
> Progress: 42%, response time: 16.379 sec
> Progress: 42%, response time: 17.382 sec
> Progress: 43%, response time: 18.384 sec
> Progress: 43%, response time: 19.386 sec
> Progress: 45%, response time: 20.388 sec
> Progress: 45%, response time: 21.391 sec
> Progress: 46%, response time: 22.393 sec
> Progress: 46%, response time: 23.395 sec
> Progress: 48%, response time: 24.398 sec
> Progress: 48%, response time: 25.401 sec
> Progress: 50%, response time: 26.403 sec
> Progress: 100%, response time: 26.95 sec
> ?count
> -------------------------------
> 4487999
> (1 rows, 26.95 sec, 8 B selected)
> default> select count(distinct auid) from test_pl_00_0;
> Progress: 0%, response time: 0.88 sec
> Progress: 0%, response time: 0.881 sec
> Progress: 0%, response time: 1.283 sec
> Progress: 0%, response time: 2.086 sec
> Progress: 0%, response time: 3.088 sec
> Progress: 0%, response time: 4.09 sec
> Progress: 25%, response time: 5.092 sec
> Progress: 33%, response time: 6.094 sec
> Progress: 50%, response time: 7.096 sec
> Progress: 50%, response time: 8.098 sec
> Progress: 50%, response time: 9.099 sec
> Progress: 66%, response time: 10.101 sec
> Progress: 66%, response time: 11.103 sec
> Progress: 83%, response time: 12.105 sec
> Progress: 100%, response time: 12.268 sec
> ?count
> -------------------------------
> 1222356
> (1 rows, 12.268 sec, 8 B selected)
>
> On Sat, Jan 17, 2015 at 11:00 PM, Jinho Kim <jhkim@apache.org> wrote:
>
> >  Thank you for your sharing
> >
> > Can you enable the dfs.datanode.hdfs-blocks-metadata.enabled in
> > hdfs-site.xml ?
> > If you enable the block-metadata, tajo-cluster can use the volume load
> > balancing. You should restart the datanode and tajo cluster. I will
> > investigate performance of count-distinct operator. and You can change to
> > “select count(a.auid) from ( select auid from test_pl_00_0 ) a”
> >
> >
> > -Jinho
> > Best regards
> >
> > 2015-01-16 18:05 GMT+09:00 Azuryy Yu <azuryyyu@gmail.com>:
> >
> > > default> select count(*) from test_pl_00_0;
> > > Progress: 0%, response time: 0.718 sec
> > > Progress: 0%, response time: 0.72 sec
> > > Progress: 0%, response time: 1.121 sec
> > > Progress: 12%, response time: 1.923 sec
> > > Progress: 28%, response time: 2.925 sec
> > > Progress: 41%, response time: 3.927 sec
> > > Progress: 50%, response time: 4.931 sec
> > > Progress: 100%, response time: 5.323 sec
> > > 2015-01-16T17:04:41.116+0800: [GC2015-01-16T17:04:41.116+0800: [ParNew:
> > > 26543K->6211K(31488K), 0.0079770 secs] 26543K->6211K(115456K),
> 0.0080700
> > > secs] [Times: user=0.02 sys=0.00, real=0.01 secs]
> > > 2015-01-16T17:04:41.303+0800: [GC2015-01-16T17:04:41.303+0800: [ParNew:
> > > 27203K->7185K(31488K), 0.0066950 secs] 27203K->7185K(115456K),
> 0.0068130
> > > secs] [Times: user=0.02 sys=0.00, real=0.01 secs]
> > > 2015-01-16T17:04:41.504+0800: [GC2015-01-16T17:04:41.504+0800: [ParNew:
> > > 28177K->5597K(31488K), 0.0091630 secs] 28177K->6523K(115456K),
> 0.0092430
> > > secs] [Times: user=0.02 sys=0.00, real=0.01 secs]
> > > 2015-01-16T17:04:41.778+0800: [GC2015-01-16T17:04:41.778+0800: [ParNew:
> > > 26589K->6837K(31488K), 0.0067280 secs] 27515K->7764K(115456K),
> 0.0068160
> > > secs] [Times: user=0.02 sys=0.00, real=0.01 secs]
> > > ?count
> > > -------------------------------
> > > 4487999
> > > (1 rows, 5.323 sec, 8 B selected)
> > >
> > > On Fri, Jan 16, 2015 at 5:03 PM, Azuryy Yu <azuryyyu@gmail.com> wrote:
> > >
> > > > Hi,
> > > > There is no big improvement, sometimes more slower than before. I
> also
> > > try
> > > > to increase worker's heap size and parallel, nothing improve.
> > > >
> > > > default> select count(distinct auid) from test_pl_00_0;
> > > > Progress: 0%, response time: 0.963 sec
> > > > Progress: 0%, response time: 0.964 sec
> > > > Progress: 0%, response time: 1.366 sec
> > > > Progress: 0%, response time: 2.168 sec
> > > > Progress: 0%, response time: 3.17 sec
> > > > Progress: 0%, response time: 4.172 sec
> > > > Progress: 16%, response time: 5.174 sec
> > > > Progress: 16%, response time: 6.176 sec
> > > > Progress: 16%, response time: 7.178 sec
> > > > Progress: 33%, response time: 8.18 sec
> > > > Progress: 50%, response time: 9.181 sec
> > > > Progress: 50%, response time: 10.183 sec
> > > > Progress: 50%, response time: 11.185 sec
> > > > Progress: 50%, response time: 12.187 sec
> > > > Progress: 66%, response time: 13.189 sec
> > > > Progress: 66%, response time: 14.19 sec
> > > > Progress: 100%, response time: 15.003 sec
> > > > 2015-01-16T17:00:56.410+0800: [GC2015-01-16T17:00:56.410+0800:
> [ParNew:
> > > > 26473K->6582K(31488K), 0.0105030 secs] 26473K->6582K(115456K),
> > 0.0105720
> > > > secs] [Times: user=0.04 sys=0.00, real=0.01 secs]
> > > > 2015-01-16T17:00:56.593+0800: [GC2015-01-16T17:00:56.593+0800:
> [ParNew:
> > > > 27574K->6469K(31488K), 0.0086300 secs] 27574K->6469K(115456K),
> > 0.0086940
> > > > secs] [Times: user=0.02 sys=0.00, real=0.01 secs]
> > > > 2015-01-16T17:00:56.800+0800: [GC2015-01-16T17:00:56.800+0800:
> [ParNew:
> > > > 27461K->5664K(31488K), 0.0122560 secs] 27461K->6591K(115456K),
> > 0.0123210
> > > > secs] [Times: user=0.02 sys=0.01, real=0.01 secs]
> > > > 2015-01-16T17:00:57.065+0800: [GC2015-01-16T17:00:57.065+0800:
> [ParNew:
> > > > 26656K->6906K(31488K), 0.0070520 secs] 27583K->7833K(115456K),
> > 0.0071470
> > > > secs] [Times: user=0.03 sys=0.00, real=0.01 secs]
> > > > ?count
> > > > -------------------------------
> > > > 1222356
> > > > (1 rows, 15.003 sec, 8 B selected)
> > > >
> > > >
> > > > On Fri, Jan 16, 2015 at 4:09 PM, Azuryy Yu <azuryyyu@gmail.com>
> wrote:
> > > >
> > > >> Thanks Kim, I'll try and post back.
> > > >>
> > > >> On Fri, Jan 16, 2015 at 4:02 PM, Jinho Kim <jhkim@apache.org>
> wrote:
> > > >>
> > > >>> Thanks Azuryy Yu
> > > >>>
> > > >>> Your parallel running tasks of tajo-worker is 10 but heap memory
is
> > > 3GB.
> > > >>> It
> > > >>> cause a long JVM pause
> > > >>> I recommend following :
> > > >>>
> > > >>> tajo-env.sh
> > > >>> TAJO_WORKER_HEAPSIZE=3000 or more
> > > >>>
> > > >>> tajo-site.xml
> > > >>> <!--  worker  -->
> > > >>> <property>
> > > >>>   <name>tajo.worker.resource.memory-mb</name>
> > > >>>   <value>3512</value> <!--  3 tasks + 1 qm task
 -->
> > > >>> </property>
> > > >>> <property>
> > > >>>   <name>tajo.task.memory-slot-mb.default</name>
> > > >>>   <value>1000</value> <!--  default 512 -->
> > > >>> </property>
> > > >>> <property>
> > > >>>    <name>tajo.worker.resource.dfs-dir-aware</name>
> > > >>>    <value>true</value>
> > > >>> </property>
> > > >>> <!--  end  -->
> > > >>>
> > >
> >
> http://tajo.apache.org/docs/0.9.0/configuration/worker_configuration.html
> > > >>>
> > > >>> -Jinho
> > > >>> Best regards
> > > >>>
> > > >>> 2015-01-16 16:02 GMT+09:00 Azuryy Yu <azuryyyu@gmail.com>:
> > > >>>
> > > >>> > Thanks Kim.
> > > >>> >
> > > >>> > The following is my tajo-env and tajo-site
> > > >>> >
> > > >>> > *tajo-env.sh:*
> > > >>> > export HADOOP_HOME=/usr/local/hadoop
> > > >>> > export JAVA_HOME=/usr/local/java
> > > >>> > _TAJO_OPTS="-server -verbose:gc
> > > >>> >   -XX:+PrintGCDateStamps
> > > >>> >   -XX:+PrintGCDetails
> > > >>> >   -XX:+UseGCLogFileRotation
> > > >>> >   -XX:NumberOfGCLogFiles=9
> > > >>> >   -XX:GCLogFileSize=256m
> > > >>> >   -XX:+DisableExplicitGC
> > > >>> >   -XX:+UseCompressedOops
> > > >>> >   -XX:SoftRefLRUPolicyMSPerMB=0
> > > >>> >   -XX:+UseFastAccessorMethods
> > > >>> >   -XX:+UseParNewGC
> > > >>> >   -XX:+UseConcMarkSweepGC
> > > >>> >   -XX:+CMSParallelRemarkEnabled
> > > >>> >   -XX:CMSInitiatingOccupancyFraction=70
> > > >>> >   -XX:+UseCMSCompactAtFullCollection
> > > >>> >   -XX:CMSFullGCsBeforeCompaction=0
> > > >>> >   -XX:+CMSClassUnloadingEnabled
> > > >>> >   -XX:CMSMaxAbortablePrecleanTime=300
> > > >>> >   -XX:+CMSScavengeBeforeRemark
> > > >>> >   -XX:PermSize=160m
> > > >>> >   -XX:GCTimeRatio=19
> > > >>> >   -XX:SurvivorRatio=2
> > > >>> >   -XX:MaxTenuringThreshold=60"
> > > >>> > _TAJO_MASTER_OPTS="$_TAJO_OPTS -Xmx512m -Xms512m -Xmn256m"
> > > >>> > _TAJO_WORKER_OPTS="$_TAJO_OPTS -Xmx3g -Xms3g -Xmn1g"
> > > >>> > _TAJO_QUERYMASTER_OPTS="$_TAJO_OPTS -Xmx512m -Xms512m -Xmn256m"
> > > >>> > export TAJO_OPTS=$_TAJO_OPTS
> > > >>> > export TAJO_MASTER_OPTS=$_TAJO_MASTER_OPTS
> > > >>> > export TAJO_WORKER_OPTS=$_TAJO_WORKER_OPTS
> > > >>> > export TAJO_QUERYMASTER_OPTS=$_TAJO_QUERYMASTER_OPTS
> > > >>> > export TAJO_LOG_DIR=${TAJO_HOME}/logs
> > > >>> > export TAJO_PID_DIR=${TAJO_HOME}/pids
> > > >>> > export TAJO_WORKER_STANDBY_MODE=true
> > > >>> >
> > > >>> > *tajo-site.xml:*
> > > >>> >
> > > >>> > <configuration>
> > > >>> >   <property>
> > > >>> >     <name>tajo.rootdir</name>
> > > >>> >     <value>hdfs://test-cluster/tajo</value>
> > > >>> >   </property>
> > > >>> >   <property>
> > > >>> >     <name>tajo.master.umbilical-rpc.address</name>
> > > >>> >     <value>10-0-86-51:26001</value>
> > > >>> >   </property>
> > > >>> >   <property>
> > > >>> >     <name>tajo.master.client-rpc.address</name>
> > > >>> >     <value>10-0-86-51:26002</value>
> > > >>> >   </property>
> > > >>> >   <property>
> > > >>> >     <name>tajo.resource-tracker.rpc.address</name>
> > > >>> >     <value>10-0-86-51:26003</value>
> > > >>> >   </property>
> > > >>> >   <property>
> > > >>> >     <name>tajo.catalog.client-rpc.address</name>
> > > >>> >     <value>10-0-86-51:26005</value>
> > > >>> >   </property>
> > > >>> >   <property>
> > > >>> >     <name>tajo.worker.tmpdir.locations</name>
> > > >>> >     <value>/test/tajo1,/test/tajo2,/test/tajo3</value>
> > > >>> >   </property>
> > > >>> >   <!--  worker  -->
> > > >>> >   <property>
> > > >>> >
> >  <name>tajo.worker.resource.tajo.worker.resource.cpu-cores</name>
> > > >>> >     <value>4</value>
> > > >>> >   </property>
> > > >>> >  <property>
> > > >>> >    <name>tajo.worker.resource.memory-mb</name>
> > > >>> >    <value>5120</value>
> > > >>> >  </property>
> > > >>> >   <property>
> > > >>> >     <name>tajo.worker.resource.dfs-dir-aware</name>
> > > >>> >     <value>true</value>
> > > >>> >   </property>
> > > >>> >   <property>
> > > >>> >     <name>tajo.worker.resource.dedicated</name>
> > > >>> >     <value>true</value>
> > > >>> >   </property>
> > > >>> >   <property>
> > > >>> >     <name>tajo.worker.resource.dedicated-memory-ratio</name>
> > > >>> >     <value>0.6</value>
> > > >>> >   </property>
> > > >>> > </configuration>
> > > >>> >
> > > >>> > On Fri, Jan 16, 2015 at 2:50 PM, Jinho Kim <jhkim@apache.org>
> > wrote:
> > > >>> >
> > > >>> > > Hello Azuyy yu
> > > >>> > >
> > > >>> > > I left some comments.
> > > >>> > >
> > > >>> > > -Jinho
> > > >>> > > Best regards
> > > >>> > >
> > > >>> > > 2015-01-16 14:37 GMT+09:00 Azuryy Yu <azuryyyu@gmail.com>:
> > > >>> > >
> > > >>> > > > Hi,
> > > >>> > > >
> > > >>> > > > I tested Tajo before half a year, then not focus
on Tajo
> > because
> > > >>> some
> > > >>> > > other
> > > >>> > > > works.
> > > >>> > > >
> > > >>> > > > then I setup a small dev Tajo cluster this week.(six
nodes,
> VM)
> > > >>> based
> > > >>> > on
> > > >>> > > > Hadoop-2.6.0.
> > > >>> > > >
> > > >>> > > > so my questions is:
> > > >>> > > >
> > > >>> > > > 1) From I know half a yea ago, Tajo is work on
Yarn, using
> Yarn
> > > >>> > scheduler
> > > >>> > > > to manage  job resources. but now I found it doesn't
rely on
> > > Yarn,
> > > >>> > > because
> > > >>> > > > I only start HDFS daemons, no yarn daemons. so
Tajo has his
> own
> > > job
> > > >>> > > > sheduler ?
> > > >>> > > >
> > > >>> > > >
> > > >>> > > Now, tajo does using own task scheduler. and  You can
start
> tajo
> > > >>> without
> > > >>> > > Yarn daemons
> > > >>> > > Please refer to
> > > http://tajo.apache.org/docs/0.9.0/configuration.html
> > > >>> > >
> > > >>> > >
> > > >>> > > >
> > > >>> > > > 2) Does that we need to put the file replications
on every
> > nodes
> > > on
> > > >>> > Tajo
> > > >>> > > > cluster?
> > > >>> > > >
> > > >>> > >
> > > >>> > > No, tajo does not need more replication.  if you set
more
> > > >>> replication,
> > > >>> > data
> > > >>> > > locality can be increased
> > > >>> > >
> > > >>> > > such as I have a six nodes Tajo cluster, then should
I set HDFS
> > > block
> > > >>> > > > replication to six? because:
> > > >>> > > >
> > > >>> > > > I noticed when I run Tajo query, some nodes are
busy, but
> some
> > is
> > > >>> free.
> > > >>> > > > because the file's blocks are only located on these
nodes.
> non
> > > >>> others.
> > > >>> > > >
> > > >>> > > >
> > > >>> > > In my opinion, you need to run balancer
> > > >>> > >
> > > >>> > >
> > > >>> >
> > > >>>
> > >
> >
> http://hadoop.apache.org/docs/r2.6.0/hadoop-project-dist/hadoop-hdfs/HDFSCommands.html#balancer
> > > >>> > >
> > > >>> > >
> > > >>> > > 3)the test data set is 4 million rows. nearly several
GB. but
> > it's
> > > >>> very
> > > >>> > > > slow when I runing: select count(distinct ID) from
****;
> > > >>> > > > Any possible problems here?
> > > >>> > > >
> > > >>> > >
> > > >>> > > Could you share tajo-env.sh, tajo-site.xml ?
> > > >>> > >
> > > >>> > >
> > > >>> > > >
> > > >>> > > >
> > > >>> > > > Thanks
> > > >>> > > >
> > > >>> > >
> > > >>> >
> > > >>>
> > > >>
> > > >>
> > > >
> > >
> >
>

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