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Posted to issues@spark.apache.org by "Anthony Wainer Cachay Guivin (Jira)" <ji...@apache.org> on 2022/10/17 13:53:00 UTC
[jira] [Created] (SPARK-40820) creating StructType from Json
Anthony Wainer Cachay Guivin created SPARK-40820:
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Summary: creating StructType from Json
Key: SPARK-40820
URL: https://issues.apache.org/jira/browse/SPARK-40820
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 3.3.0
Reporter: Anthony Wainer Cachay Guivin
When create a StructType from a Python dictionary you utilize the [StructType.fromJson|https://github.com/apache/spark/blob/master/python/pyspark/sql/types.py#L569-L571] method.
To create a schema can be created as follows from the code below, but it requires to put inside the json: Nullable and Metadata, this is inconsistent because within the DataType class this by default.
{code:python}
json = {
"name": "name",
"type": "string"
}
StructField.fromJson(json)
{code}
Error:
!image-2022-10-17-15-52-21-787.png!
Proposed coding solution:
Instead use indexes for getting from a dictionary, it would be better to use .get
{code:python}
def fromJson(cls, json: Dict[str, Any]) -> "StructField":
return StructField(
json["name"],
_parse_datatype_json_value(json["type"]),
json.get("nullable"),
json.get("metadata"),
)
{code}
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