34259/how-to-use-multiple-spark-version
You can use the SPARK_MAJOR_VERSION for this. Suppose you want to use version 2, set this:
export SPARK_MAJOR_VERSION=2
Then to run, use:
spark-submit --version
For syncing Hadoop configuration files, you have ...READ MORE
Just Use the command Hadoop version ...READ MORE
You have to override isSplitable method. ...READ MORE
Go through this blog: https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-use-blob-storage#access-blobs I went through this ...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
Try this: val new_records = sc.newAPIHadoopRDD(hadoopConf,classOf[ ...READ MORE
import org.apache.hadoop.fs.{FileSystem,Path} FileSystem.get( sc.hadoopConfiguration ).listStatus( new Path("hdfs:///tmp")).foreach( ...READ MORE
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