itholic opened a new pull request, #43237:
URL: https://github.com/apache/spark/pull/43237
### What changes were proposed in this pull request?
This PR proposes to fix `ps.sql` with Spark Connect.
### Why are the changes needed?
Improve the API coverage.
### Does this PR introduce _any_ user-facing change?
`ps.sql` with Pandas on Spark object now support for Spark Connect:
**Before**
```python
>>> psdf = ps.DataFrame(
... {"A": [1, 2, 3], "B": [4, 5, 6]}, index=pd.Index(["a", "b", "c"],
name="index")
... )
>>> ps.sql("select * from {psdf} where A > 1", psdf=psdf)
org.apache.spark.sql.catalyst.ExtendedAnalysisException:
[TABLE_OR_VIEW_NOT_FOUND] The table or view
`_pandas_api_d2d7164cc1894c8895bc7f0c541db96b` cannot be found. Verify the
spelling and correctness of the schema and catalog.
If you did not qualify the name with a schema, verify the current_schema()
output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF
EXISTS.; line 1 pos 14;
```
**After**
```python
>>> psdf = ps.DataFrame(
... {"A": [1, 2, 3], "B": [4, 5, 6]}, index=pd.Index(["a", "b", "c"],
name="index")
... )
>>> ps.sql("select * from {psdf} where A > 1", psdf=psdf)
A B
0 2 5
1 3 6
```
### How was this patch tested?
Enabling the existing test
### Was this patch authored or co-authored using generative AI tooling?
No.
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