Created
October 11, 2016 14:10
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PySpark DataFrame filtering using a UDF and Regex
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from pyspark.sql.functions import udf | |
from pyspark.sql.types import BooleanType | |
def regex_filter(x): | |
regexs = ['.*ALLYOURBASEBELONGTOUS.*'] | |
if x and x.strip(): | |
for r in regexs: | |
if re.match(r, x, re.IGNORECASE): | |
return True | |
return False | |
filter_udf = udf(regex_filter, BooleanType()) | |
df_filtered = df.filter(filter_udf(df.field_to_filter_on)) |
This was very useful, Thanks
Cool, this is exactly what I was looking for. Thanks.
thank you, this was helpful as its difficult to get sample codes on pyspark.
Thanks , simple and straight foward
👍 @huzefa
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This is very useful, Thanks