Maxim Gekk created SPARK-31020:
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Summary: Support foldable schemas by `from_csv`
Key: SPARK-31020
URL: https://issues.apache.org/jira/browse/SPARK-31020
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 3.0.0
Reporter: Maxim Gekk
Currently, Spark accepts only literals or schema_of_csv w/ literal input as the
schema parameter of from_csv. And it fails on any foldable expressions, for
instance:
{code:sql}
spark-sql> select from_csv('1, 3.14', replace('dpt_org_id INT, dpt_org_city
STRING', 'dpt_org_', ''));
Error in query: Schema should be specified in DDL format as a string literal or
output of the schema_of_csv function instead of replace('dpt_org_id INT,
dpt_org_city STRING', 'dpt_org_', '');; line 1 pos 7
{code}
There is reasons to restrict users by literals. The ticket aims to support any
foldable schemas by from_csv().
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