It says in Apache Spark documentation "within each Spark application, multiple “jobs” (Spark actions) may be running concurrently if they were submitted by different threads". Can someone explain how to achieve this concurrency for the following sample code?
SparkConf conf = new SparkConf().setAppName("Simple_App");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> file1 = sc.textFile("/path/to/test_doc1");
JavaRDD<String> file2 = sc.textFile("/path/to/test_doc2");
System.out.println(file1.count());
System.out.println(file2.count());
These two jobs are independent and must run concurrently.
Thank You.
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