You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/05/26 06:47:00 UTC
[jira] [Resolved] (SPARK-35485) WARN TaskSchedulerImpl: Initial job
has not accepted any resources;
[ https://issues.apache.org/jira/browse/SPARK-35485?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-35485.
----------------------------------
Resolution: Invalid
It's very likely environment issue in your network or configuration errors.
Also, Spark 2.4.x is EOL so no fix will be landed for this.
Lastly, for questions, let's use Spark mailing list before filing it as an issue.
> WARN TaskSchedulerImpl: Initial job has not accepted any resources;
> -------------------------------------------------------------------
>
> Key: SPARK-35485
> URL: https://issues.apache.org/jira/browse/SPARK-35485
> Project: Spark
> Issue Type: Question
> Components: SQL
> Affects Versions: 2.4.7
> Reporter: Boamba Daniela
> Priority: Major
>
> Hello,
> I'm trying a select request on spark-sql, but I have "WARN TaskSchedulerImpl: Initial job has not accepted any resources;" message.
> I can execute without error : show databases, use mydatabase, show tables ..
> spark-env.sh
> {quote}rity.auth.login.config=/opt/mapr/conf/mapr.login.conf -Dzookeeper.sasl.client=false"
> # MEMORY SETTINGS
> export SPARK_DAEMON_MEMORY=2g
> export SPARK_WORKER_MEMORY=4g
> # Worker Directory
> export SPARK_WORKER_DIR=$SPARK_HOME/tmp
> # Environment variable for printing spark command everytime you run spark.Set to "1" to print.
> # export SPARK_PRINT_LAUNCH_COMMAND=1
> #UI
> export SPARK_SUBMIT_OPTS="$SPARK_SUBMIT_OPTS -Djava.library.path=$SPARK_MAPR_HOME/lib"
> export SPARK_MASTER_HOST=myhost
> export SPARK_MASTER_IP=myhost
> export SPARK_HISTORY_OPTS="$SPARK_HISTORY_OPTS -Dspark.history.fs.logDirectory=maprfs:///apps/spark -Djava.library.path=$SPARK_MAPR_HOME/lib"
> #daniela
> export SPARK_MASTER_OPTS="-Dspark.deploy.defaultCores=4"
> export SPARK_MEM=4g
> h6. Thank you very much.
> Best regards,
> daniela
> {quote}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org