Spark with HBase on Spark Runtime 2.2.1

I wrote a simple program to read data from HBase, the program works find in Cloudera backed by HDFS. The program works fine on SPARK RUNTIME 1.6 on Cloudera. But does NOT work on EMR with Spark Runtime 2.2.1. But getting an exception while testing data on EMR with S3. // Spark conf Spar

Unable to Connect to Apache Phoenix From Spark

Simple Java Program to Connect to Phoenix DB: SparkConf sparkConf = new SparkConf(); sparkConf.setAppName("Using-spark-phoenix-df"); sparkConf.setMaster("local[*]"); JavaSparkContext sc = new JavaSparkContext(sparkConf);

Error submitting Spark Job in yarn-cluster mode on EMR

I have a simple program that works fine in the local mode. But I am having issues when I try to run the program in yarn-cluster mode. I know usually no such method happens when compile and run version mismatch but I made sure I took the same version. 205 [main] INFO org.spark_project.jetty.ser

Getting Data From Hbase using Spark is Extremely Slow

I have written four lines of simple spark program to process data in Phoenix table: queryString = getQueryFullString( );// Get data from Phoenix table select col from table JavaPairRDD phRDD = jsc.newAPIHadoopRDD( configuration, Ph

Spark is not evenly distributing data

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