I am trying to replace groupByKey() with reudceByKey(), I am a pyspark and python newbie and I am having a hard time figuring out the lambda function for the reduceByKey() operation.
Here is the code dd = hive_context.read.orc(orcfile_dir).rdd.map(lambda x: (x[0],x)).groupByKey(25).take(2) Here is the return value >>> dd[(u'KEY_1', <pyspark.resultiterable.ResultIterable object at >>> 0x107be0c50>), (u'KEY_2', <pyspark.resultiterable.ResultIterable object at >>> 0x107be0c10>)] and Here are the iterable contents dd[0][1] Row(key=u'KEY_1', hash_fn=u'deec95d65ca6b3b4f2e1ef259040aa79', value=u'e7dc1f2a')Row(key=u'KEY_1', hash_fn=u'f8891048a9ef8331227b4af080ecd28a', value=u'fb0bc953').......Row(key=u'KEY_1', hash_fn=u'1b9d2bb2db28603ff21052efcd13f242', value=u'd39714d3')Row(key=u'KEY_1', hash_fn=u'c41b0269706ac423732a6bab24bf8a6a', value=u'ab58db92') My question is how do replace with reduceByKey() and get the same output as above? Santhosh