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Showing posts with the label Rdd
How To Flatten Nested Lists In Pyspark?

How To Flatten Nested Lists In Pyspark?

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I have an RDD structure like: rdd = [[[1],[2],[3]], [[4],[5]], [[6]], [[7],[8],[9],[10]]] and I wa… Read more How To Flatten Nested Lists In Pyspark?
Convert Stringtype To Arraytype In Pyspark

Convert Stringtype To Arraytype In Pyspark

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I am trying to Run the FPGrowth algorithm in PySpark on my Dataset. from pyspark.ml.fpm import FPGr… Read more Convert Stringtype To Arraytype In Pyspark
How Can I Use Reducebykey Instead Of Groupbykey To Construct A List?

How Can I Use Reducebykey Instead Of Groupbykey To Construct A List?

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My RDD is made of many items, each of which is a tuple as follows: (key1, (val1_key1, val2_key1)) (… Read more How Can I Use Reducebykey Instead Of Groupbykey To Construct A List?
PySpark Application Fail With Java.lang.OutOfMemoryError: Java Heap Space

PySpark Application Fail With Java.lang.OutOfMemoryError: Java Heap Space

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I'm running spark via pycharm and respectively pyspark shell. I've stacked with this error:… Read more PySpark Application Fail With Java.lang.OutOfMemoryError: Java Heap Space
Spark: How To "reduceByKey" When The Keys Are Numpy Arrays Which Are Not Hashable?

Spark: How To "reduceByKey" When The Keys Are Numpy Arrays Which Are Not Hashable?

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I have an RDD of (key,value) elements. The keys are NumPy arrays. NumPy arrays are not hashable, an… Read more Spark: How To "reduceByKey" When The Keys Are Numpy Arrays Which Are Not Hashable?