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  1. pyspark - How to use AND or OR condition in when in Spark - Stack …

    107 pyspark.sql.functions.when takes a Boolean Column as its condition. When using PySpark, it's often useful to think "Column Expression" when you read "Column". Logical operations on PySpark …

  2. python - Spark Equivalent of IF Then ELSE - Stack Overflow

    python apache-spark pyspark apache-spark-sql edited Dec 10, 2017 at 1:43 Community Bot 1 1

  3. Comparison operator in PySpark (not equal/ !=) - Stack Overflow

    Aug 24, 2016 · The selected correct answer does not address the question, and the other answers are all wrong for pyspark. There is no "!=" operator equivalent in pyspark for this solution.

  4. Rename more than one column using withColumnRenamed

    Since pyspark 3.4.0, you can use the withColumnsRenamed() method to rename multiple columns at once. It takes as an input a map of existing column names and the corresponding desired column …

  5. PySpark: multiple conditions in when clause - Stack Overflow

    Jun 8, 2016 · Very helpful observation when in pyspark multiple conditions can be built using & (for and) and | (for or). Note:In pyspark t is important to enclose every expressions within parenthesis () that …

  6. Pyspark: display a spark data frame in a table format

    Pyspark: display a spark data frame in a table format Asked 9 years, 4 months ago Modified 2 years, 4 months ago Viewed 413k times

  7. apache spark sql - Pyspark: Reference is ambiguous when joining ...

    Jun 5, 2020 · Pyspark: Reference is ambiguous when joining dataframes on same column Asked 5 years, 6 months ago Modified 3 years, 3 months ago Viewed 51k times

  8. Running pyspark after pip install pyspark - Stack Overflow

    I just faced the same issue, but it turned out that pip install pyspark downloads spark distirbution that works well in local mode. Pip just doesn't set appropriate SPARK_HOME. But when I set this …

  9. spark dataframe drop duplicates and keep first - Stack Overflow

    Aug 1, 2016 · 2 I just did something perhaps similar to what you guys need, using drop_duplicates pyspark. Situation is this. I have 2 dataframes (coming from 2 files) which are exactly same except 2 …

  10. Best way to get the max value in a Spark dataframe column

    Remark: Spark is intended to work on Big Data - distributed computing. The size of the example DataFrame is very small, so the order of real-life examples can be altered with respect to the small …