Load properties file in Spark classpath during spark-submit execution - apache-spark

I'm installing the Spark Atlas Connector in a spark submit script (https://github.com/hortonworks-spark/spark-atlas-connector)
Due to security restrictions, I can't put the atlas-application.properties in the spark/conf repository.
I used the two options in the spark-submit :
--driver-class-path "spark.driver.extraClassPath=hdfs:///directory_to_properties_files" \
--conf "spark.executor.extraClassPath=hdfs:///directory_to_properties_files" \
When I launch the spark-submit, I encounter this issue :
20/07/20 11:32:50 INFO ApplicationProperties: Looking for atlas-application.properties in classpath
20/07/20 11:32:50 INFO ApplicationProperties: Looking for /atlas-application.properties in classpath
20/07/20 11:32:50 INFO ApplicationProperties: Loading atlas-application.properties from null

Please find CDP Atals Configuration article.
https://community.cloudera.com/t5/Community-Articles/How-to-pass-atlas-application-properties-configuration-file/ta-p/322158
Client Mode:
spark-submit --class org.apache.spark.examples.SparkPi --master yarn --deploy-mode client --driver-java-options="-Datlas.conf=/tmp/" /opt/cloudera/parcels/CDH/jars/spark-examples*.jar 10
Cluster Mode:
sudo -u spark spark-submit --class org.apache.spark.examples.SparkPi --master yarn --deploy-mode cluster --files /tmp/atlas-application.properties --conf spark.driver.extraJavaOptions="-Datlas.conf=./" /opt/cloudera/parcels/CDH/jars/spark-examples*.jar 10

Related

can't run example, error '-Xmx1g org.apache.spark.deploy.SparkSubmit'

i'm trying to replicate wordcount example from cloudera website
spark-submit --master yarn --deploy-mode client --conf
"spark.dynamicAllocation.enabled=false" --jars
SPARK_HOME/examples/jars/spark-examples_2.11-2.4.6.jar
cloudera_analyze.py zookeeper_server:2181 transaction
But it gives me this error:
C:\openjdk\jdk8025209hotspot\bin\java -cp "C:\spark246hadoop27/conf\;C:\spark246hadoop27\jars\*"
-Xmx1g org.apache.spark.deploy.SparkSubmit --master yarn --deploy-mode client --conf
"spark.dynamicAllocation.enabled=false" --jars
SPARK_HOME/examples/jars/spark-examples_2.11-2.4.6.jar cloudera_analyze.py zookeeper_server:2181 transaction
what could be the reason?

Spark metrics sink doesn't expose executor's metrics

I'm using Spark on YARN with
Ambari 2.7.4
HDP StandaloneĀ 3.1.4
Spark 2.3.2
Hadoop 3.1.1
Graphite on Docker latest
I was trying to get Spark metrics with Graphite sink following this tutorial.
Advanced spark2-metrics-properties in Ambari are:
driver.sink.graphite.class=org.apache.spark.metrics.sink.GraphiteSink
executor.sink.graphite.class=org.apache.spark.metrics.sink.GraphiteSink
worker.sink.graphite.class=org.apache.spark.metrics.sink.GraphiteSink
master.sink.graphite.class=org.apache.spark.metrics.sink.GraphiteSink
*.sink.graphite.host=ap-test-m.c.gcp-ps.internal
*.sink.graphite.port=2003
*.sink.graphite.protocol=tcp
*.sink.graphite.period=10
*.sink.graphite.unit=seconds
*.sink.graphite.prefix=app-test
*.source.jvm.class=org.apache.spark.metrics.source.JvmSource
Spark submit:
export HADOOP_CONF_DIR=/usr/hdp/3.1.4.0-315/hadoop/conf/; spark-submit --class com.Main --master yarn --deploy-mode client --driver-memory 1g --executor-memory 10g --num-executors 2 --executor-cores 2 spark-app.jar /data
As a result I'm only getting driver metrics.
Also, I was trying to add metrics.properties to spark-submit command together with global spark metrics props, but that didn't help.
And finally, I tried conf in spark-submit and in java SparkConf:
--conf "spark.metrics.conf.driver.sink.graphite.class"="org.apache.spark.metrics.sink.GraphiteSink"
--conf "spark.metrics.conf.executor.sink.graphite.class"="org.apache.spark.metrics.sink.GraphiteSink"
--conf "worker.sink.graphite.class"="org.apache.spark.metrics.sink.GraphiteSink"
--conf "master.sink.graphite.class"="org.apache.spark.metrics.sink.GraphiteSink"
--conf "spark.metrics.conf.*.sink.graphite.host"="host"
--conf "spark.metrics.conf.*.sink.graphite.port"=2003
--conf "spark.metrics.conf.*.sink.graphite.period"=10
--conf "spark.metrics.conf.*.sink.graphite.unit"=seconds
--conf "spark.metrics.conf.*.sink.graphite.prefix"="app-test"
--conf "spark.metrics.conf.*.source.jvm.class"="org.apache.spark.metrics.source.JvmSource"
But that didn't help either.
CSVSink also gives only driver metrics.
UPD
When I submit job in cluster mode - I'm getting the same metrics as in Spark History Server. But the jvm metrics are still absent.
Posting to a dated question, but maybe it will help.
Seems like executors do not have metrics.properties file on their filesystems.
One way to confirm this would be to look at the executor logs:
2020-01-16 10:00:10 ERROR MetricsConfig:91 - Error loading configuration file metrics.properties
java.io.FileNotFoundException: metrics.properties (No such file or directory)
at org.apache.spark.metrics.MetricsConfig.loadPropertiesFromFile(MetricsConfig.scala:132)
at org.apache.spark.metrics.MetricsConfig.initialize(MetricsConfig.scala:55)
at org.apache.spark.metrics.MetricsSystem.<init>(MetricsSystem.scala:95)
at org.apache.spark.metrics.MetricsSystem$.createMetricsSystem(MetricsSystem.scala:233)
To fix this on yarn pass two parameters to spark-submit:
$ spark-submit \
--files metrics.properties \
--conf spark.metrics.conf=metrics.properties
The --files option ensures that files specified in the option will be shared to executors.
The spark.metrics.conf option specifies a custom file location for the metrics.
Another way to fix the issue would be to place the metrics.properties file into $SPARK_HOME/conf/metrics.properties on both the driver and executor before starting the job.
More on metrics here: https://spark.apache.org/docs/latest/monitoring.html

Unable to access Hive table when used yarn-cluster mode

I have kerbores enabled Cloudera cluster. Spark can access Hive table when I use client deployment mode.
I executed kinit command and then executed spark2-submit. Spark can access the Hive table when I use client mode.
spark2-submit --master yarn --deploy-mode client --keytab XXXXXXXXXX.keytab --principal XXXXXXXXXXX#USER.COM --conf "spark.driver.extraJavaOptions=-XX:+UseG1GC -XX:MaxPermSize=1024M -Djava.security.krb5.conf=/etc/krb5.conf" test.jar
But when I use cluster mode, spark gives table not found error.
spark2-submit --master yarn --deploy-mode cluster --keytab XXXXXXXXXX.keytab --principal XXXXXXXXXXX#USER.COM --conf "spark.driver.extraJavaOptions=-XX:+UseG1GC -XX:MaxPermSize=1024M -Djava.security.krb5.conf=/etc/krb5.conf" test.jar

spark-submit yarn java.lang.ClassNotFoundException:com.microsoft.sqlserver.jdbc.SQLServerDriver

spark-submit --master yarn --deploy-mode cluster sqlserver.py --jars sqljdbc42.jar
I get Error :
java.lang.ClassNotFoundException:com.microsoft.sqlserver.jdbc.SQLServerDriver
Everything works when I use --deploy-mode client and copy the jar file to /usr/hdp/current/spark2-client/jars/sqljdbc42.jar
Should I copy the sqljdbc42.jar to /usr/hdp/current/hadoop-yarn-client/lib/ on all data nodes?

custom log using spark

IĀ“m trying to configure a custom log using spark-submit, this my configure:
driver:
-DlogsPath=/var/opt/log\
-DlogsFile=spark-submit-driver.log\
-Dlog4j.configuration=jar:file:../bin/myapp.jar!/log4j.properties\
spark.driver.extraJavaOptions -> -DlogsPath=/var/opt/log -DlogsFile=spark-submit-driver.log -Dlog4j.configuration=jar:file:../bin/myapp.jar!/log4j.properties
executor:
-DlogsPath=/var/opt/log\
-DlogsFile=spark-submit-executor.log\
-Dlog4j.configuration=jar:file:../bin/myapp.jar!/log4j.properties\
spark.executor.extraJavaOptions -> -DlogsPath=/var/opt/log -DlogsFile=spark-submit-executor.log -Dlog4j.configuration=jar:file:../bin/myapp.jar!/log4j.properties
The spark-submit-drive.log is created and filled fine but spark-submit-executor.log is not crated
any idea?
Please try using log4j while running your job through spark submit.
Example:
spark-submit -- class com.something.Driver
--master yarn \
--driver-memory 1g \
--executor-memory 1g \
--driver-java-options '-Dlog4j.configuration=file:/absolute path to log4j property file/log4j.properties' \
--conf spark.executor.extraJavaOptions '-Dlog4j.configuration=file:/absolute path to log4j property file/log4j.properties' \
jarfilename.jar
Note: You have to define both the properties with driver-java-options and conf spark.executor.extraJavaOptions, also you can use the default log4j.properties
Please try to use
--conf "spark.driver.extraJavaOptions=-Dlog4j.configuration=file:/Users/feng/SparkLog4j/SparkLog4jTest/target/log4j2.properties"
or
--file
/Users/feng/SparkLog4j/SparkLog4jTest/target/log4j2.properties
The below submit it works for me.
bin/spark-submit --class com.viaplay.log4jtest.log4jtest --conf "spark.driver.extraJavaOptions=-Dlog4j.configuration=file:/Users/feng/SparkLog4j/SparkLog4jTest/target/log4j2.properties" --master local[*] /Users/feng/SparkLog4j/SparkLog4jTest/target/SparkLog4jTest-1.0-jar-with-dependencies.jar

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