zhengruifeng opened a new pull request, #46658:
URL: https://github.com/apache/spark/pull/46658
### What changes were proposed in this pull request?
Implement `ps.sql` in Spark Connect
### Why are the changes needed?
feature parity in Spark Connect
### Does this PR introduce _any_ user-facing change?
yes:
```
In [4]: spark
Out[4]: <pyspark.sql.connect.session.SparkSession at 0x105136390>
In [5]: >>> ps.sql('''
...: ... SELECT m1.a, m2.b
...: ... FROM {table1} m1 INNER JOIN {table2} m2
...: ... ON m1.key = m2.key
...: ... ORDER BY m1.a, m2.b''',
...: ... table1=ps.DataFrame({"a": [1,2], "key": ["a", "b"]}),
...: ... table2=pd.DataFrame({"b": [3,4,5], "key": ["a", "b",
"b"]}))
/Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/utils.py:1018:
PandasAPIOnSparkAdviceWarning: The config 'spark.sql.ansi.enabled' is set to
True. This can cause unexpected behavior from pandas API on Spark since pandas
API on Spark follows the behavior of pandas, not SQL.
warnings.warn(message, PandasAPIOnSparkAdviceWarning)
/Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/utils.py:1018:
PandasAPIOnSparkAdviceWarning: The config 'spark.sql.ansi.enabled' is set to
True. This can cause unexpected behavior from pandas API on Spark since pandas
API on Spark follows the behavior of pandas, not SQL.
warnings.warn(message, PandasAPIOnSparkAdviceWarning)
a b
0 1 3
1 2 4
2 2 5
```
### How was this patch tested?
1. enabled UTs
2. also manually tested all the examples
### Was this patch authored or co-authored using generative AI tooling?
No
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