I want to take a column and split a string using a character. As per usual, I understood that the method split would return a list, but when coding I found that the returning object had only the methods getItem or getField with the following descriptions from the API:
@since(1.3) def getItem(self, key): """ An expression that gets an item at position ``ordinal`` out of a list, or gets an item by key out of a dict. @since(1.3) def getField(self, name): """ An expression that gets a field by name in a StructField.
Obviously this doesnt meet my requirements, for example for the text within the column "A_B_C_D" I would like to split between "A_B_C_" and "D" in two different columns.
This is the code I'm using
from pyspark.sql.functions import regexp_extract, col, split
df_test=spark.sql("SELECT * FROM db_test.table_test")
#Applying the transformations to the data
split_col=split(df_test['Full_text'],'_')
df_split=df_test.withColumn('Last_Item',split_col.getItem(3))
Find an example:
from pyspark.sql import Row
from pyspark.sql.functions import regexp_extract, col, split
l = [("Item1_Item2_ItemN"),("FirstItem_SecondItem_LastItem"),("ThisShouldBeInTheFirstColumn_ThisShouldBeInTheLastColumn")]
rdd = sc.parallelize(l)
datax = rdd.map(lambda x: Row(fullString=x))
df = sqlContext.createDataFrame(datax)
split_col=split(df['fullString'],'_')
df=df.withColumn('LastItemOfSplit',split_col.getItem(2))
Result:
fullString LastItemOfSplit
Item1_Item2_ItemN ItemN
FirstItem_SecondItem_LastItem LastItem
ThisShouldBeInTheFirstColumn_ThisShouldBeInTheLastColumn null
My expected result would be having always the last item
fullString LastItemOfSplit
Item1_Item2_ItemN ItemN
FirstItem_SecondItem_LastItem LastItem
ThisShouldBeInTheFirstColumn_ThisShouldBeInTheLastColumn ThisShouldBeInTheLastColumn