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From "Victor Lopez (Jira)" <j...@apache.org>
Subject [jira] [Created] (SPARK-29575) from_json can produce nulls for fields which are marked as non-nullable
Date Wed, 23 Oct 2019 16:51:00 GMT
Victor Lopez created SPARK-29575:
------------------------------------

             Summary: from_json can produce nulls for fields which are marked as non-nullable
                 Key: SPARK-29575
                 URL: https://issues.apache.org/jira/browse/SPARK-29575
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 2.4.4
            Reporter: Victor Lopez


I believe this issue was resolved elsewhere (https://issues.apache.org/jira/browse/SPARK-23173),
though for Pyspark this bug seems to still be there.

The issue appears when using `from_json` to parse a column in a Spark dataframe. It seems
like `from_json` ignores whether the schema provided has any `nullable:False` property.

  

 
{code:java}
schema = T.StructType().add(T.StructField('id', T.LongType(), nullable=False)).add(T.StructField('name',
T.StringType(), nullable=False))
data = [{'user': str({'name': 'joe', 'id':1})}, {'user': str({'name': 'jane'})}]
df = spark.read.json(sc.parallelize(data))
df.withColumn("details", F.from_json("user", schema)).select("details.*").show()
{code}
 



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