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The current solutions to making the conversion from a vector column to an array column are: Convert the DataFrame to an RDD and back Use a UDF Both approaches work fine, but it really seems like you should be able to do something like this instead: (le_data. To first convert String to Array we need to use Split () function along with withColumn. pyspark. withColumn("b", split(col("b"), ","). col ("s2"). kafka. yuvarathnaa full movie in hindi dubbed download filmyzilla functions import udf udf_parse_json = udf (lambda str: parse_json (str), json_schema) Create a new data frame. Examples SQL > SELECT ARRAY(1, 2, 3); [1, 2, 3] > SELECT CAST(ARRAY(1, 2, 3) AS ARRAY<TINYINT>); [1, 2, 3] > SELECT typeof (ARRAY()); ARRAY<NULL> > SELECT CAST(ARRAY(ARRAY(1, 2), ARRAY(3, 4)) AS ARRAY<ARRAY<BIGINT>>); [ [1, 2], [3, 4]] > SELECT a [1] FROM VALUES(ARRAY(3, 4)) AS T (a); 4 [ ] MAP type STRUCT type array function cast function. col Column or str. functions. 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