ueshin opened a new pull request, #39971:
URL: https://github.com/apache/spark/pull/39971
### What changes were proposed in this pull request?
Supports parameterized SQL by `sql()`.
Note: `SparkSession.sql` in PySpark also supports string formatter, but it
will be handled separately.
### Why are the changes needed?
Currently `SparkSession.sql` in Spark Connect doesn't support parameterized
SQL.
### Does this PR introduce _any_ user-facing change?
The parameterized SQL will be available.
For example:
```py
>>> spark.sql("SELECT * FROM range(10) WHERE id > :minId", args = {"minId" :
"7"}).toPandas()
id
0 8
1 9
```
### How was this patch tested?
Added a test.
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