yaniv oren created SPARK-31772:
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Summary: Json schema reading is not consistent between int and
string types
Key: SPARK-31772
URL: https://issues.apache.org/jira/browse/SPARK-31772
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 2.4.4
Reporter: yaniv oren
When reading json file using a schema, int value is converted to string if
field is string but string field is not converted to int value if field is int.
Sample Code:
read_schema = StructType([StructField({color:#008080}"a"{color}, IntegerType()),
StructField({color:#008080}"b"{color}, StringType())])
df =
{color:#94558d}self{color}.spark_session.read.schema(read_schema).json({color:#008080}"input/json/temp_test"{color})
df.show()
json temp_test
{"a": 1,"b": "b1"}
{"a": 2,"b": "b2"}
{"a": 3,"b": 3}
{"a": "4","b": 4}
actual:
| a| b|
+----+----+
| 1| b1|
| 2| b2|
| 3| 3|
|null|null|
+----+----+
expected:
Third line will be nulled as the fourth line as b is int while in schema it's
string.
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