Questions tagged [rdd]

RDDs, or Resilient Distributed Datasets, serve as a distributed memory abstraction empowering developers to execute in-memory calculations on extensive clusters while upholding the data flow model's fault tolerance similar to MapReduce.

What is the best way to choose data with the earliest timestamp for each key in an RDD?

I am working with an RDD that contains two variables ID and time. The time variable is in the format of datetime.datetime. Here is a snapshot of the first few rows of the RDD data: [[41186, datetime.datetime(2014, 3, 1, 20, 48, 5, 630000)], [32036, date ...

pythonpysparkrdd

utilizing spark streaming to produce json results without encountering deprecation warnings

Here is a code snippet where the df5 dataframe successfully prints json data but isStream is false and it's deprecated in Spark 2.2.0. I attempted another approach in the last two lines of code to handle this, however, it fails to read json correctly. An ...

jsonapache-sparkapache-spark-sqlspark-streamingrdd

Sparks: Unlocking the Power of Transformative Merging

I am faced with a task involving 1000 JSON files that require individual transformations followed by merging into a single output file. The merged output must ensure no duplicate values are present after overlapping operations have been performed. My appr ...

javajsonapache-sparkrdd

Use regular expressions to filter a pyspark.RDD

I am working with a pyspark.RDD that contains dates which I need to filter out. The dates are in the following format within my RDD: data.collect() = ["Nujabes","Hip Hop","04:45 16 October 2018"] I have attempted filtering t ...

pythonapache-sparkdatepysparkrdd