ueshin commented on PR #45377:
URL: https://github.com/apache/spark/pull/45377#issuecomment-2038202349
When `df.select` with multiple expressions, both `fragment` and `callSite`
seem to be different from Scala's.
```py
>>> spark.conf.set("spark.sql.ansi.enabled", True)
>>> df = spark.range(10)
>>> df.select(
... df.id / 10,
... df.id + 4,
... df.id / 0,
... df.id * 5
... ).show()
pyspark.errors.exceptions.captured.ArithmeticException: [DIVIDE_BY_ZERO]
Division by zero. Use `try_divide` to tolerate divisor being 0 and return NULL
instead. If necessary set "spark.sql.ansi.enabled" to "false" to bypass this
error. SQLSTATE: 22012
== DataFrame ==
"divide" was called from
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native
Method)
== PySpark call site ==
"multiply" was called from
<stdin>:5
```
whereas:
```scala
scala> df.select(
| df("id") / 10,
| df("id") + 4,
| df("id") / 0,
| df("id") * 5
| ).show()
org.apache.spark.SparkArithmeticException: [DIVIDE_BY_ZERO] Division by
zero. Use `try_divide` to tolerate divisor being 0 and return NULL instead. If
necessary set "spark.sql.ansi.enabled" to "false" to bypass this error.
SQLSTATE: 22012
== DataFrame ==
"div" was called from
<init>(<console>:4)
```
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