Resilient Distributed Datasets (RDDs) are a distributed memory abstraction that allows programmers to perform in-memory computations on large clusters while retaining the fault tolerance of data flow models like MapReduce.
I know how to find the file size in scala.But how to find a RDD/dataframe size in spark? …
scala apache-spark rddHow can I find median of an RDD of integers using a distributed method, IPython, and Spark? The RDD is …
python apache-spark median rdd pysparkWhen a resilient distributed dataset (RDD) is created from a text file or collection (or from another RDD), do we …
scala apache-spark rddIn my pig code I do this: all_combined = Union relation1, relation2, relation3, relation4, relation5, relation 6. I want to do …
python apache-spark pyspark rddThe below code will read from the hbase, then convert it to json structure and the convert to schemaRDD , But …
hbase apache-spark rddI need to join two ordinary RDDs on one/more columns. Logically this operation is equivalent to the database join …
scala join apache-spark rdd apache-spark-sqlI am dealing with transforming SQL code to PySpark code and came across some SQL statements. I don't know how …
apache-spark pyspark spark-dataframe rdd pyspark-sqlI know the method rdd.firstwfirst() which gives me the first element in an RDD. Also there is the method …
java apache-spark rddI'm trying to load an SVM file and convert it to a DataFrame so I can use the ML module (…
python apache-spark pyspark apache-spark-sql rdd