简体   繁体   中英

Spark Cast StructType / JSON to String

I have a new-line delimited json file that looks like

{"id":1,"nested_col": {"key1": "val1", "key2": "val2", "key3": ["arr1", "arr2"]}}
{"id":2,"nested_col": {"key1": "val1_2", "key2": "val2_2", "key3": ["arr1_2", "arr2"]}}

Once I read the file using df = spark.read.json(path_to_file) , I end up with a dataframe whose schema looks like:

DataFrame[id: bigint,nested_col:struct<key1:string,key2:string,key3:array<string>>]

What I want to do is cast nested_col to see it a string without setting primitivesAsString to true (since I actually have 100+ columns and need the types of all my other columns to be inferred). I also don't know what nested_col looks like before hand. In other words, I'd like my DataFrame to look like

DataFrame[id: bigint,nested_col:string]

I tried to do

df.select(df['nested_col'].cast('string')).take(1)`

but it doesn't return the correct string representation of the JSON:

[Row(nested_col=u'[0,2000000004,2800000004,3000000014,316c6176,326c6176,c00000002,3172726100000010,32727261]')]`

whereas I was hoping for:

[Row(nested_col=u'{"key1": "val1", "key2": "val2", "key3": ["arr1", "arr2"]}')]

Does anyone know how I can get the desired result (aka cast a nested JSON field / StructType to a String)?

To be honest parsing JSON and inferring schema just to push everything back to JSON sounds a bit strange but here you are:

  • Required imports:

     from pyspark.sql import types from pyspark.sql.functions import to_json, concat_ws, concat, struct 
  • A helper function:

     def jsonify(df): def convert(f): if isinstance(f.dataType, types.StructType): return to_json(f.name).alias(f.name) if isinstance(f.dataType, types.ArrayType): return get_json_object( to_json(struct(f.name)), "$.{0}".format(f.name) ).alias(f.name) return f.name return df.select([convert(f) for f in df.schema.fields]) 
  • Example usage:

     df = sc.parallelize([("a", 1, (2, 3), ["1", "2", "3"])]).toDF() jsonify(df).show() 
     +---+---+---------------+-------------+ | _1| _2| _3| _4| +---+---+---------------+-------------+ | a| 1|{"_1":2,"_2":3}|["1","2","3"]| +---+---+---------------+-------------+ 

The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM