YARN (Yet Another Resource Negotiator) is a key component of second generation Apache Hadoop infrastructure.
How could I configure from Java (or Scala) code amount of executors having SparkConfig and SparkContext? I see constantly 2 executors. …
java scala cluster-computing apache-spark yarnI have one Spark job which runs fine locally with less data but when I schedule it on YARN to …
apache-spark yarnI am running kinesis plus spark application https://spark.apache.org/docs/1.2.0/streaming-kinesis-integration.html I am running as below command …
apache-spark yarn amazon-emr amazon-kinesisWhen I run the parsing code with 1 GB dataset it completes without any error. But, when I attempt 25 gb of …
apache-spark yarnThe spark docs have the following paragraph that describes the difference between yarn client and yarn cluster: There are two …
apache-spark yarnI am trying to setup a single-node Hadoop 2.6.0 cluster on my PC. On visiting http://localhost:8088/cluster, I find that …
hadoop yarnI am using HDP 2.5, running spark-submit as yarn cluster mode. I have tried to generate data using dataframe cross join. …
apache-spark hive yarn hortonworks-data-platformI am new to Apache Spark, and I just learned that Spark supports three types of cluster: Standalone - meaning …
apache-spark yarn mesos apache-spark-standaloneI am a spark/yarn newbie, run into exitCode=13 when I submit a spark job on yarn cluster. When the …
scala hadoop apache-spark yarn