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 <[email protected]>: > 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 <[email protected]> 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 <[email protected]>: > > > > > 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 <[email protected]> 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 <[email protected]> > wrote: > > > > > > > >> Thanks Kim, I'll try and post back. > > > >> > > > >> On Fri, Jan 16, 2015 at 4:02 PM, Jinho Kim <[email protected]> > 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 <[email protected]>: > > > >>> > > > >>> > 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 <[email protected]> > > wrote: > > > >>> > > > > >>> > > Hello Azuyy yu > > > >>> > > > > > >>> > > I left some comments. > > > >>> > > > > > >>> > > -Jinho > > > >>> > > Best regards > > > >>> > > > > > >>> > > 2015-01-16 14:37 GMT+09:00 Azuryy Yu <[email protected]>: > > > >>> > > > > > >>> > > > 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 > > > >>> > > > > > > >>> > > > > > >>> > > > > >>> > > > >> > > > >> > > > > > > > > > >
