I am installing kafka on an aws t2 instance(one that has 1gb of memory).
(1) I download kafka_2.11-0.9.0.0
(2) I run zookeeper bin/zookeeper-server-start.sh config/zookeeper.properties
(3) I try running bin/kafka-server-start.sh config/server.properties
and I get
Java HotSpot(TM) 64-Bit Server VM warning: INFO: os::commit_memory(0x00000000c0000000, 1073741824, 0) failed; error='Cannot allocate memory' (errno=12)
.#
.# There is insufficient memory for the Java Runtime Environment to continue.
.# Native memory allocation (mmap) failed to map 1073741824 bytes for committing reserved memory.
.# An error report file with more information is saved as:
.# /home/machine_name/kafka_2.11-0.9.0.0/hs_err_pid9161.log
I checked all propertes in the server.properties config file and in the documentation for properties that could try to do something like this but coudn't find anything.
Does anyone know why is kafka trying to allocated 1 gb when starting?
Kafka defaults to the following jvm memory parameters which mean that kafka will allocate 1GB at startup and use a maximum of 1GB of memory:
-Xmx1G -Xms1G
Just set KAFKA_HEAP_OPTS env variable to whatever you want to use instead. You may also just edit ./bin/kafka-server-start.sh and replace the values.
also if you have lower memory heap then try to reduce the size
-Xmx400M -Xms400M for both zookeeper and kafka
This issue might also relate to the maximum number of memory map areas allocated. It throws exactly the same error.
To remedy this you can run the following:
sysctl -w vm.max_map_count=200000
You want to set this in relation to your File Descriptor Limits. In summary, for every log segment on a broker, you require two map areas - one for index and one for time index.
For reference see the Kafka OS section: https://kafka.apache.org/documentation/#os
I was getting Java IO Exception: Map failed while starting Kafka-server. By analyzing previous logs it looks like it was failed because of insufficient memory in the java heap while loading logs. I changed the maximum memory size but it was not able to fix it. Finally, doing more research on google, I got to know that I had downloaded 32-bit version of java so downloading 64-bit version of java solved my problem.
Pass the KAFKA_HEAP_OPTS argument with your required memory value to run with.
Make sure to pass it in quotes - KAFKA_HEAP_OPTS="-Xmx512M -Xms512M"
docker run -it --rm --network app-tier -e KAFKA_HEAP_OPTS="-Xmx512M -Xms512M" -e KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper-server:2181 bitnami/kafka:latest kafka-topics.sh --list --bootstrap-server kafka-server:9092
Related
I have an ETL flow through talend and there:
Read the zipped files from a remote server with a job.
Take this files unzipes them and parse them into HDFS with a job. Inside the job exists a schema check so if something is not
My problem is that TAC server stopes the execution because of this error:
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at org.talend.fileprocess.TOSDelimitedReader$ColumnBuffer4Joiner.saveCharInJoiner(TOSDelimitedReader.java:503)
at org.talend.fileprocess.TOSDelimitedReader.joinAndRead(TOSDelimitedReader.java:261)
at org.talend.fileprocess.TOSDelimitedReader.readRecord_SplitField(TOSDelimitedReader.java:148)
at org.talend.fileprocess.TOSDelimitedReader.readRecord(TOSDelimitedReader.java:125)
....
Is there any option to avoid and handle this error automatically?
There are only few files which cause this error but I want to find a solution for further similar situation.
In the TAC Job Conductor, for a selected job, you can add JVM parameters.
Add the -Xmx parameter to specify the maximum heap size. The default value depends on various factors like the JVM release/vendor, the actual memory of the machine, etc... In your situation, the java.lang.OutOfMemoryError: Java heap space reveals that the default value is not enough for this job so you need to override it.
For example, specify -Xmx2048m for 2048Mb or 2gb
#DrGenius Talend has java based environment and some default jvm heap is awarded during initialization, as in for any java program. Default for Talend - Min:256MB (xms) & max:1024MB.. As per your job requirement, you can set the range of min/max jvm like min of 512 mb & max 8gb..
This can be modified from Job run tab - advance setting.. Even this can be parameterized and can be overwritten using variables set in env. Exact value can be seen from job build -> _run.sh ..
But be careful not to set high as too high so that other jobs running on same server is depleted of memory.
More details on heap error & how to debug issue:
https://dzone.com/articles/java-out-of-memory-heap-analysis
I'm sending a message from Application A to Artemis but I'm getting this error from Application A:
AMQ212054: Destination address=my-service is blocked. If the system is configured to block make sure you consume messages on this configuration.
Looking at the logs of artemis starting up this is what I see which I believe is the cause:
AMQ222210: Storage usage is beyond max-disk-usage. System will start blocking producers
I've looked at the documentation here and found nothing that could help. Also have logged into the running container and changed the 'max-disk-usage' to 100 as per my google research and so far nothing has helped.
I'm running artemis using the following command:
docker run -it --rm -e ARTEMIS_USERNAME=artemis -e ARTEMIS_PASSWORD=artemis -p 8161:8161 -p 61616:61616 vromero/activemq-artemis
Any help is appreciated~ Thank you
You are receiving this message because you computer's disk space is over 90% full and Artemis blocks producers once this happens. To solve your problem you can either:
Clear up disk space on your computer so that it is below 90% .
Increase how full your disk can be before Artimes blocks producers. To do this you need to modify the broker configuration file which is located at:
path-to-broker\artemis\etc\broker.xml
In this file, there is a tag labeled max-disk-usage which is by default set to 90. Simply increase this to 100 (or whatever value you feel comfortable with).
Note that the reason Artemis configures your brokers to start blocking producers once you computer's disk space usage reaches 90% and above is to prevent potentially using up all of your disk space in the case of message back log.
I've downloaded a different version and this issue hasn't occurred anymore.
I launch the kafka connect image . i configured near 25 running source and sink connectors
when i drop inside this container i saw only 1 java processes
root#connect:/# ps -ef | grep java
root 1 0 3 Jun20 ? 01:32:06 java -Xms256M -Xmx2G -server -XX:+UseG1GC -XX:MaxGCPauseMillis=20 -XX:InitiatingHeapOccupancyPercent=35 -XX:+ExplicitGCInvokesConcurrent -Djava.awt.headless=true -Dcom.sun.management.jmxremote=true -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dkafka.logs.dir=/var/log/kafka -Dlog4j.configuration=file:/etc/kafka/connect-log4j.properties -cp /etc/kafka-connect/jars/*:/usr/share/java/kafka/*:/usr/share/java/confluent-common/*:/usr/share/java/kafka-serde-tools/*:/usr/share/java/monitoring-interceptors/*:/usr/bin/../share/java/kafka/*:/usr/bin/../share/java/confluent-support-metrics/*:/usr/share/java/confluent-support-metrics/* org.apache.kafka.connect.cli.ConnectDistributed /etc/kafka-connect/kafka-connect.properties
root 6263 6252 0 08:58 pts/1 00:00:00 grep java
root#connect:/#
Does it means that when we have a memory leak in one running custom connector it will crash kafka connect node ?
Multiple threads run in a single JVM. But, sure if you get OOM on only one connect task, then it'll blow the JVM, which is why you should add more servers (since you're running distributed mode) and increase the heap from only 2G max by setting KAFKA_HEAP_OPTS
Also, if running the container, a typical pattern might be one container per topic grouping. For example, 5 topics are going to Elasticsearch, 2 others going to HDFS, and 4 others to JDBC, etc. Would make 3 separate containers. That way your "blast radius" is smaller for a failed java process
If you're using the Confluent containers, set CONNECT_GROUP_ID to be the same for a set of containers, also make sure each grouping you make has its own config, offset, and status topics
Total Noob here, I installed Cloudera Manager on single node on aws ec2. I followed the install wizard but when I try running
spark-shell or pyspark I get the following error message:
ERROR spark.SparkContext: Error initializing SparkContext.
java.lang.IllegalArgumentException: Required executor memory (1024+384
MB) is above the max threshold (1024 MB) of this cluster! Please check
the values of 'yarn.scheduler.maximum-allocation-mb' and/or
'yarn.nodemanager.resource.memory-mb'.
Can somebody explain to me what is going on or where to begin reading? Total noob, here so any help or direction is greatly appreciated
The required executor memory is above the maximum threshold. You need to increase the YARN memory.
The values of yarn.scheduler.maximum-allocation-mb and yarn.nodemanager.resource.memory-mb both live in the config file yarn-site.xml which is managed by Cloudera Manager in your case.
yarn.nodemanager.resource.memory-mb is the amount of physical memory, in MB, that can be allocated for containers.
yarn.scheduler.maximum-allocation-mb is the maximum memory in mb that cab be allocated per yarn container. The maximum allocation for every container request at the RM, in MBs. Memory requests higher than this won't take effect, and will get capped to this value.
You can read more on the definitions and default values here: https://hadoop.apache.org/docs/r2.4.1/hadoop-yarn/hadoop-yarn-common/yarn-default.xml
In the Cloudera Manager user interface, go to Yarn service > Configurations > Search and increase the values of them.
Restart YARN for the changes to take effect.
I am running Redis 2.8.19 on Windows Server 2008.
I get an error saying that I have insufficient disc space for my Redis heap. (The memory mapping file instead of fork()).
I can only get Redis running, if I have 'maxheap 1024M' in the cfg, even though I have ~50GB of free space on the directory I have set 'heapdir' to.
If I try to run it with higher maxheap, or with no maxheap, I get this error (PowerShell):
PS C:\Users\admasgve> cd D:\redis-2.8.19
PS D:\redis-2.8.19> .\redis-server.exe
[7476] 25 Feb 09:32:38.419 #
The Windows version of Redis allocates a large memory mapped file for sharing
the heap with the forked process used in persistence operations. This file
will be created in the current working directory or the directory specified by
the 'heapdir' directive in the .conf file. Windows is reporting that there is
insufficient disk space available for this file (Windows error 0x70).
You may fix this problem by either reducing the size of the Redis heap with
the --maxheap flag, or by moving the heap file to a local drive with sufficient
space.
Please see the documentation included with the binary distributions for more
details on the --maxheap and --heapdir flags.
Redis can not continue. Exiting.
Screenshot: http://i.stack.imgur.com/Xae0f.jpg
Free space on D: 49,4 GB
Free space on C: 2,71 GB
Total RAM: 16 GB
Free RAM: ~9 GB
redis.windows.conf:
# Generated by CONFIG REWRITE
loglevel verbose
logfile "stdout"
save 900 1
save 300 10
save 60 10000
dir "D:\\redis-2.8.19"
maxmemory 1024M
# maxheap 2048M
heapdir "D:\\redis-2.8.19"
Everything beside the last 3 lines are generated by redis with the 'CONFIG REWRITE' cmd. I have tried various things, with maxmemory, maxheap and heapdir.
From Redis documentation:
maxmemory / maxheap - the maxheap flag controls the maximum size of this memory mapped file, as well as the total usable space for the Redis heap. Running Redis without either maxheap or maxmemory will result in a memory mapped file being created that is equal to the size of physical memory; The Redis heap must be larger than the value specified by the maxmemory
Have anybody encountered this problem before? What do I do wrong?
Redis doesn't use the conf file in its home directory by default. You have to pass the file in on the command line:
.\redis-server.exe redis.windows.conf
This is what is in my conf file:
maxheap 2048M
heapdir D:\\redisheap
These settings resolved my issue.
This is how to use the maxheap flag, which is more convenient then using a config file:
redis-server --maxheap 2gb
To back up Michael's response, I've had the same problem.
I had ~40GB of free space, and paging file set to 4G-8G.
Redis did not want to start until I set paging file to the amount recommended by Windows themselves, which was 12GB.
Really odd beahaviour.
.\redis-server.exe redis.windows.conf
This is what is in my conf file:
maxheap 2048M
heapdir D:\\redisheap
after passing the above parameters in redis-server.exe redis.windows.conf
the service has started for me thanks for the solution.
maxheap 2048M
heapdir D:\"location where your server is
This Should Solve problem Please Ping me if you have Same Question