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
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 …
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 …
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.
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 …
Filtering a Pyspark DataFrame with SQL-like IN clause
Mar 8, 2016 · Filtering a Pyspark DataFrame with SQL-like IN clause Asked 9 years, 9 months ago Modified 3 years, 8 months ago Viewed 123k times
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, 2 months ago Viewed 51k times
Pyspark: display a spark data frame in a table format
Pyspark: display a spark data frame in a table format Asked 9 years, 3 months ago Modified 2 years, 4 months ago Viewed 413k times
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 …
How to change dataframe column names in PySpark?
I come from pandas background and am used to reading data from CSV files into a dataframe and then simply changing the column names to something useful using the simple command: df.columns =