Created
December 21, 2018 03:08
-
-
Save trungquy/856ba6b27ea773241474c930dc8ae37c to your computer and use it in GitHub Desktop.
Pyspark - Utilities
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# source: https://stackoverflow.com/questions/37471346/automatically-and-elegantly-flatten-dataframe-in-spark-sql | |
from pyspark.sql.types import StructType, ArrayType | |
def flatten(schema, prefix=None): | |
fields = [] | |
for field in schema.fields: | |
name = prefix + '.' + field.name if prefix else field.name | |
dtype = field.dataType | |
if isinstance(dtype, ArrayType): | |
dtype = dtype.elementType | |
if isinstance(dtype, StructType): | |
fields += flatten(dtype, prefix=name) | |
else: | |
fields.append(name) | |
return fields | |
df.select(flatten(df.schema)).show() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment