Is it possible to use multiple spark version without setting the SPARK_MAJOR_VERSION?
Yes. It is not necessary to set SPARK_MAJOR_VERSION. You can type different command to run different spark.
loads Spark 1.6
loads Spark 2.0
No, you can run spark without hadoop. ...READ MORE
You can run the below code to ...READ MORE
val new_records = sc.newAPIHadoopRDD(hadoopConf,classOf[N ...READ MORE
Yes, one can build “Spark” for a specific ...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
put <localSrc> <dest>
copyFr ...READ MORE
You can use the SPARK_MAJOR_VERSION for this. Suppose ...READ MORE
you need both core and SQL artifacts
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