42073/increasing-memory-to-use-for-yarn-application-master
You can increase the memory dynamically by using the following command in Spark shell:
val sc = new SparkContext(new SparkConf()) ./bin/spark-submit <all your existing options> --spark.yarn.am.memory=<set the memory>
This is because the maximum number of ...READ MORE
In case Yarn does not support schemes ...READ MORE
First, store upload this archive to hdfs and ...READ MORE
DataFrames and SparkSQL performed almost about the ...READ MORE
Instead of spliting on '\n'. You should ...READ MORE
Firstly you need to understand the concept ...READ MORE
org.apache.hadoop.mapred is the Old API org.apache.hadoop.mapreduce is the ...READ MORE
Hi, You can create one directory in HDFS ...READ MORE
By default, only one core is used for ...READ MORE
You can make use of Special Library path to ...READ MORE
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