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}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
