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new 470aaf32a43e [SPARK-43664][CONNECT][PS] Raise exception for `ps.sql`
with Pandas-on-Spark object on Spark Connect
470aaf32a43e is described below
commit 470aaf32a43e3f778e28050df3b81ffd16cd7ff2
Author: Haejoon Lee <[email protected]>
AuthorDate: Thu Oct 12 19:56:53 2023 +0900
[SPARK-43664][CONNECT][PS] Raise exception for `ps.sql` with
Pandas-on-Spark object on Spark Connect
### What changes were proposed in this pull request?
This PR proposes to raise proper exception for `ps.sql` with
Pandas-on-Spark DataFrame on Spark Connect
### Why are the changes needed?
To improve error message
### Does this PR introduce _any_ user-facing change?
No API change, but it's error message improvement.
**Before**
```python
>>> psdf = ps.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> ps.sql("SELECT {col}, {col2} FROM {tbl}", col=psdf.A, col2=psdf.B,
tbl=psdf)
Traceback (most recent call last):
...
pyspark.errors.exceptions.connect.AnalysisException:
[TABLE_OR_VIEW_NOT_FOUND] The table or view
`_pandas_api_32aa6c7b33ac442bab790cfb49f65ca1` 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 17;
'Project ['A, 'B]
+- 'UnresolvedRelation [_pandas_api_32aa6c7b33ac442bab790cfb49f65ca1], [],
false
JVM stacktrace:
org.apache.spark.sql.catalyst.ExtendedAnalysisException:
[TABLE_OR_VIEW_NOT_FOUND] The table or view
`_pandas_api_32aa6c7b33ac442bab790cfb49f65ca1` cannot be found. Verify the
spelling and correctness of the schema and catalog.
...
```
**After**
```python
>>> psdf = ps.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> ps.sql("SELECT {col}, {col2} FROM {tbl}", col=psdf.A, col2=psdf.B,
tbl=psdf)
Traceback (most recent call last):
...
pyspark.errors.exceptions.base.PySparkTypeError: [UNSUPPORTED_DATA_TYPE]
Unsupported DataType `DataFrame`.
```
### How was this patch tested?
The existing CI should pass
### Was this patch authored or co-authored using generative AI tooling?
No.
Closes #43237 from itholic/SPARK-43664.
Lead-authored-by: Haejoon Lee <[email protected]>
Co-authored-by: Haejoon Lee <[email protected]>
Signed-off-by: Hyukjin Kwon <[email protected]>
---
python/pyspark/pandas/sql_formatter.py | 13 +++++++++++++
python/pyspark/pandas/tests/connect/test_parity_sql.py | 4 ++--
2 files changed, 15 insertions(+), 2 deletions(-)
diff --git a/python/pyspark/pandas/sql_formatter.py
b/python/pyspark/pandas/sql_formatter.py
index 91c4f0b7d77b..9800037016c5 100644
--- a/python/pyspark/pandas/sql_formatter.py
+++ b/python/pyspark/pandas/sql_formatter.py
@@ -30,6 +30,8 @@ from pyspark.sql import SparkSession
from pyspark.pandas.utils import default_session
from pyspark.pandas.frame import DataFrame
from pyspark.pandas.series import Series
+from pyspark.errors import PySparkTypeError
+from pyspark.sql.utils import is_remote
__all__ = ["sql"]
@@ -59,6 +61,9 @@ def sql(
Also the method can bind named parameters to SQL literals from `args`.
+ .. note::
+ pandas-on-Spark DataFrame is not supported for Spark Connect.
+
Parameters
----------
query : str
@@ -198,6 +203,14 @@ def sql(
session = default_session()
formatter = PandasSQLStringFormatter(session)
try:
+ # ps.DataFrame are not supported for Spark Connect currently.
+ if is_remote():
+ for obj in kwargs.values():
+ if isinstance(obj, ps.DataFrame):
+ raise PySparkTypeError(
+ error_class="UNSUPPORTED_DATA_TYPE",
+ message_parameters={"data_type": type(obj).__name__},
+ )
sdf = session.sql(formatter.format(query, **kwargs), args)
finally:
formatter.clear()
diff --git a/python/pyspark/pandas/tests/connect/test_parity_sql.py
b/python/pyspark/pandas/tests/connect/test_parity_sql.py
index c042de6b9007..2e503cac07a8 100644
--- a/python/pyspark/pandas/tests/connect/test_parity_sql.py
+++ b/python/pyspark/pandas/tests/connect/test_parity_sql.py
@@ -22,11 +22,11 @@ from pyspark.testing.pandasutils import
PandasOnSparkTestUtils
class SQLParityTests(SQLTestsMixin, PandasOnSparkTestUtils,
ReusedConnectTestCase):
- @unittest.skip("TODO(SPARK-43664): Fix TABLE_OR_VIEW_NOT_FOUND from
SQLParityTests.")
+ @unittest.skip("Test depends on temp view issue on JVM side.")
def test_sql_with_index_col(self):
super().test_sql_with_index_col()
- @unittest.skip("TODO(SPARK-43664): Fix TABLE_OR_VIEW_NOT_FOUND from
SQLParityTests.")
+ @unittest.skip("Test depends on temp view issue on JVM side.")
def test_sql_with_pandas_on_spark_objects(self):
super().test_sql_with_pandas_on_spark_objects()
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