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 - Adding a dataframe to an existing delta table throws DELTA ...
Jun 9, 2024 · Fix Issue was due to mismatched data types. Explicitly declaring schema type resolved the issue. schema = StructType([ StructField("_id", StringType(), True), StructField("
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 …
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
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
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 =
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
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 …
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 parsed json...
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, 5 months ago Modified 6 years, 7 months ago Viewed 202k times