Hi everybody, We are using Spark to query big data and currently we’re using Zeppelin to provide a UI for technical users. Now we also need to provide a UI for business users so we use Oracle BI tools and set up a Spark Thrift Server (STS) for it.
When I run both Zeppelin and STS throw error: INFO [2016-07-11 09:40:21,905] ({pool-2-thread-4} SchedulerFactory.java[jobStarted]:131) - Job remoteInterpretJob_1468204821905 started by scheduler org.apache.zeppelin.spark.SparkInterpreter835015739 INFO [2016-07-11 09:40:21,911] ({pool-2-thread-4} Logging.scala[logInfo]:58) - Changing view acls to: giaosudau INFO [2016-07-11 09:40:21,912] ({pool-2-thread-4} Logging.scala[logInfo]:58) - Changing modify acls to: giaosudau INFO [2016-07-11 09:40:21,912] ({pool-2-thread-4} Logging.scala[logInfo]:58) - SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(giaosudau); users with modify permissions: Set(giaosudau) INFO [2016-07-11 09:40:21,918] ({pool-2-thread-4} Logging.scala[logInfo]:58) - Starting HTTP Server INFO [2016-07-11 09:40:21,919] ({pool-2-thread-4} Server.java[doStart]:272) - jetty-8.y.z-SNAPSHOT INFO [2016-07-11 09:40:21,920] ({pool-2-thread-4} AbstractConnector.java[doStart]:338) - Started SocketConnector@0.0.0.0:54818 INFO [2016-07-11 09:40:21,922] ({pool-2-thread-4} Logging.scala[logInfo]:58) - Successfully started service 'HTTP class server' on port 54818. INFO [2016-07-11 09:40:22,408] ({pool-2-thread-4} SparkInterpreter.java[createSparkContext]:233) - ------ Create new SparkContext local[*] ------- WARN [2016-07-11 09:40:22,411] ({pool-2-thread-4} Logging.scala[logWarning]:70) - Another SparkContext is being constructed (or threw an exception in its constructor). This may indicate an error, since only one SparkContext may be running in this JVM (see SPARK-2243). The other SparkContext was created at: Is that mean I need to setup allow multiple context? Because It’s only test in local with local mode If I deploy on mesos cluster what would happened? Need you guys suggests some solutions for that. Thanks. Chanh --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org