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.
There is not an isEmpty method on RDD's, so what is the most efficient way of testing if an RDD …
scala apache-spark rddI am using Spark 1.0.1 to process a large amount of data. Each row contains an ID number, some with duplicate …
apache-spark filter rddI am new to Spark. can someone please clear my doubt: Lets assume below is my code: a = sc.textFile(…
apache-spark pyspark rddI have an RDD whose elements are of type (Long, String). For some reason, I want to save the whole …
scala apache-spark hdfs rdd bigdataI have the following table as a RDD: Key Value 1 y 1 y 1 y 1 n 1 n 2 y 2 n 2 n I want …
python apache-spark rddWhat will happen for large files in these cases? 1) Spark gets a location from NameNode for data . Will Spark stop …
apache-spark rdd partitionIs it possible to pass extra arguments to the mapping function in pySpark? Specifically, I have the following code recipe: …
python apache-spark pyspark rddThe Spark documentation shows how to create a DataFrame from an RDD, using Scala case classes to infer a schema. …
scala apache-spark dataframe apache-spark-sql rddI understand that partitionBy function partitions my data. If I use rdd.partitionBy(100) it will partition my data by key …
python apache-spark pyspark partitioning rddFrom my Spark UI. What does it mean by skipped?
apache-spark rdd