Моя работа MR закончилась на карте 100% уменьшение 35% с большим количеством сообщений об ошибках, похожих на running beyond physical memory limits. Current usage: 3.0 GB of 3 GB physical memory used; 3.7 GB of 15 GB virtual memory used. Killing container.
Мой входной *.bz2 файл имеет размер около 4 ГБ, если я его распакую, размер будет около 38 ГБ, на выполнение этого задания с one Master и two slavers на Amazon EMR ушло около часа.
Мои вопросы:
- Почему эта работа использовала так много памяти?
- Почему эта работа заняла около часа? Обычно выполняется задание подсчета слов объемом 40 ГБ на небольшом 4 -node cluster занимает около 10 минут.
- Как настроить параметры MR для решения этой проблемы?
- Что Типы инстансов Amazon EC2 подходят для решения этой проблемы?
См. Следующий журнал:
- Снимок физической памяти (байты) = 43327889408 => 43.3GB
- Снимок виртуальной памяти (байты) = 108950675456 => 108.95GB
- Общее зафиксированное использование кучи (байты) = 34940649472 => 34.94GB
Я предлагаю следующие решения, но я не уверен, верны они или нет
- используйте более крупный инстанс Amazon EC2 с объемом памяти не менее 8 ГБ
- настройте MR параметры с использованием следующих кодов
Версия 1:
Configuration conf = new Configuration();
Job job = Job.getInstance(conf, "jobtest1");
//don't kill the container, if the physical memory exceeds "mapreduce.reduce.memory.mb" or "mapreduce.map.memory.mb"
conf.setBoolean("yarn.nodemanager.pmem-check-enabled", false);
conf.setBoolean("yarn.nodemanager.vmem-check-enabled", false);
Версия 2:
Configuration conf = new Configuration();
Job job = Job.getInstance(conf, "jobtest2");
//conf.set("mapreduce.input.fileinputformat.split.minsize","3073741824");
conf.set("mapreduce.map.memory.mb", "8192");
conf.set("mapreduce.map.java.opts", "-Xmx6144m");
conf.set("mapreduce.reduce.memory.mb", "8192");
conf.set("mapreduce.reduce.java.opts", "-Xmx6144m");
Бревно:
15/11/08 11:37:27 INFO mapreduce.Job: map 100% reduce 35%
15/11/08 11:37:27 INFO mapreduce.Job: Task Id : attempt_1446749367313_0006_r_000006_2, Status : FAILED
Container [pid=24745,containerID=container_1446749367313_0006_01_003145] is running beyond physical memory limits. Current usage: 3.0 GB of 3 GB physical memory used; 3.7 GB of 15 GB virtual memory used. Killing container.
Dump of the process-tree for container_1446749367313_0006_01_003145 :
|- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE
|- 24745 24743 24745 24745 (bash) 0 0 9658368 291 /bin/bash -c /usr/lib/jvm/java-openjdk/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx2304m -Djava.io.tmpdir=/mnt1/yarn/usercache/ec2-user/appcache/application_1446749367313_0006/container_1446749367313_0006_01_003145/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/var/log/hadoop-yarn/containers/application_1446749367313_0006/container_1446749367313_0006_01_003145 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA org.apache.hadoop.mapred.YarnChild **.***.***.*** 32846 attempt_1446749367313_0006_r_000006_2 3145 1>/var/log/hadoop-yarn/containers/application_1446749367313_0006/container_1446749367313_0006_01_003145/stdout 2>/var/log/hadoop-yarn/containers/application_1446749367313_0006/container_1446749367313_0006_01_003145/stderr
|- 24749 24745 24745 24745 (java) 14124 1281 3910426624 789477 /usr/lib/jvm/java-openjdk/bin/java -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -Xmx2304m -Djava.io.tmpdir=/mnt1/yarn/usercache/ec2-user/appcache/application_1446749367313_0006/container_1446749367313_0006_01_003145/tmp -Dlog4j.configuration=container-log4j.properties -Dyarn.app.container.log.dir=/var/log/hadoop-yarn/containers/application_1446749367313_0006/container_1446749367313_0006_01_003145 -Dyarn.app.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA org.apache.hadoop.mapred.YarnChild **.***.***.*** 32846 attempt_1446749367313_0006_r_000006_2 3145
Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143
15/11/08 11:37:28 INFO mapreduce.Job: map 100% reduce 25%
15/11/08 11:37:30 INFO mapreduce.Job: map 100% reduce 26%
15/11/08 11:37:37 INFO mapreduce.Job: map 100% reduce 27%
15/11/08 11:37:42 INFO mapreduce.Job: map 100% reduce 28%
15/11/08 11:37:53 INFO mapreduce.Job: map 100% reduce 29%
15/11/08 11:37:57 INFO mapreduce.Job: map 100% reduce 34%
15/11/08 11:38:02 INFO mapreduce.Job: map 100% reduce 35%
15/11/08 11:38:13 INFO mapreduce.Job: map 100% reduce 36%
15/11/08 11:38:22 INFO mapreduce.Job: map 100% reduce 37%
15/11/08 11:38:35 INFO mapreduce.Job: map 100% reduce 42%
15/11/08 11:38:36 INFO mapreduce.Job: map 100% reduce 100%
15/11/08 11:38:36 INFO mapreduce.Job: Job job_1446749367313_0006 failed with state FAILED due to: Task failed task_1446749367313_0006_r_000001
Job failed as tasks failed. failedMaps:0 failedReduces:1
15/11/08 11:38:36 INFO mapreduce.Job: Counters: 43
File System Counters
FILE: Number of bytes read=11806418671
FILE: Number of bytes written=22240791936
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=16874
HDFS: Number of bytes written=0
HDFS: Number of read operations=59
HDFS: Number of large read operations=0
HDFS: Number of write operations=0
S3: Number of bytes read=3942336319
S3: Number of bytes written=0
S3: Number of read operations=0
S3: Number of large read operations=0
S3: Number of write operations=0
Job Counters
Failed reduce tasks=22
Killed reduce tasks=5
Launched map tasks=59
Launched reduce tasks=27
Data-local map tasks=59
Total time spent by all maps in occupied slots (ms)=114327828
Total time spent by all reduces in occupied slots (ms)=131855700
Total time spent by all map tasks (ms)=19054638
Total time spent by all reduce tasks (ms)=10987975
Total vcore-seconds taken by all map tasks=19054638
Total vcore-seconds taken by all reduce tasks=10987975
Total megabyte-seconds taken by all map tasks=27438678720
Total megabyte-seconds taken by all reduce tasks=31645368000
Map-Reduce Framework
Map input records=728795619
Map output records=728795618
Map output bytes=50859151614
Map output materialized bytes=10506705085
Input split bytes=16874
Combine input records=0
Spilled Records=1457591236
Failed Shuffles=0
Merged Map outputs=0
GC time elapsed (ms)=150143
CPU time spent (ms)=14360870
Physical memory (bytes) snapshot=43327889408
Virtual memory (bytes) snapshot=108950675456
Total committed heap usage (bytes)=34940649472
File Input Format Counters
Bytes Read=0
