cht42 opened a new issue, #7453:
URL: https://github.com/apache/arrow-rs/issues/7453
When Spark decodes JSON data where values don't match the expected schema
type, it silently coerces incompatible values to strings instead of failing or
preserving the original structure.
When decoding the following JSON with a schema of `map<string,string>`:
`{"hello": [1,2,3]}`, Spark automatically converts the array value to its
string representation, resulting in `{"hello": "[1,2,3]"}`
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