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 …
pyspark - How to use AND or OR condition in when in Spark
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 …
python - PySpark: "Exception: Java gateway process exited before ...
I'm trying to run PySpark on my MacBook Air. When I try starting it up, I get the error: Exception: Java gateway process exited before sending the driver its port number when sc = …
Pyspark: display a spark data frame in a table format
Pyspark: display a spark data frame in a table format Asked 9 years, 2 months ago Modified 2 years, 3 months ago Viewed 412k times
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 …
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: Parse a column of json strings - Stack Overflow
I have a pyspark dataframe consisting of one column, called json, where each row is a unicode string of json. I'd like to parse each row and return a new dataframe where each row is the …
How to check if spark dataframe is empty? - Stack Overflow
Sep 22, 2015 · 4 On PySpark, you can also use this bool(df.head(1)) to obtain a True of False value It returns False if the dataframe contains no rows
PySpark: How to fillna values in dataframe for specific columns?
Jul 12, 2017 · PySpark: How to fillna values in dataframe for specific columns? Asked 8 years, 3 months ago Modified 6 years, 6 months ago Viewed 202k times
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 …