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https://issues.apache.org/jira/browse/SPARK-31020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maxim Gekk updated SPARK-31020:
-------------------------------
Description:
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 are no reasons to restrict users by literals. The ticket aims to support
any foldable schemas by from_csv().
was:
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().
> 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
> Priority: Minor
>
> 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 are no reasons to restrict users by literals. The ticket aims to
> support any foldable schemas by from_csv().
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