Miguel Cabrera created SPARK-18180:
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Summary: pyspark.sql.Row does not serialize well to json
Key: SPARK-18180
URL: https://issues.apache.org/jira/browse/SPARK-18180
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.0.1
Environment: HDP 2.3.4, Spark 2.0.1,
Reporter: Miguel Cabrera
{{Row}} does not serialize well automatically. Although they are dict-like in
Python, the json module does not see to be able to serialize it.
{noformat}
from pyspark.sql import Row
import json
r = Row(field1='hello', field2='world')
json.dumps(r)
{noformat}
Results:
{noformat}
'["hello", "world"]'
{noformat}
Expected:
{noformat}
{'field1':'hellow', 'field2':'world'}
{noformat}
The work around is to call the {{asDict()}} method of Row. However, this makes
custom serializing of nested objects really painful as the person has to be
aware that is serializing a Row object. In particular with SPARK-17695, you
cannot serialize DataFrames easily if you have some empty or null fields, so
you have to customize the serialization process.
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