Yicong-Huang commented on code in PR #54362:
URL: https://github.com/apache/spark/pull/54362#discussion_r2839328648
##########
sql/core/src/test/scala/org/apache/spark/sql/execution/python/streaming/PythonStreamingDataSourceSuite.scala:
##########
@@ -444,13 +444,15 @@ class PythonStreamingDataSourceSimpleSuite extends
PythonDataSourceSuiteBase {
}
assert(err.getCause.isInstanceOf[SparkException])
val cause = err.getCause.asInstanceOf[SparkException]
+ // SPARK-55583: Python streaming data source wraps all Python exceptions as
+ // PYTHON_STREAMING_DATA_SOURCE_RUNTIME_ERROR. The underlying schema
mismatch
+ // error (DATA_SOURCE_RETURN_SCHEMA_MISMATCH) is preserved in the message.
checkErrorMatchPVals(
cause,
- condition = "ARROW_TYPE_MISMATCH",
+ condition = "PYTHON_STREAMING_DATA_SOURCE_RUNTIME_ERROR",
parameters = Map(
- "operation" -> "Python streaming data source read",
- "outputTypes" ->
"StructType\\(StructField\\(id,IntegerType,false\\)\\)",
- "actualDataTypes" ->
"StructType\\(StructField\\(id,StringType,true\\)\\)"
+ "action" -> "planPartitions",
+ "msg" -> "(?s).*DATA_SOURCE_RETURN_SCHEMA_MISMATCH.*"
Review Comment:
the full message would look like
```
[PYTHON_STREAMING_DATA_SOURCE_RUNTIME_ERROR]
Failed when Python streaming data source perform planPartitions:
PySparkRuntimeError: [DATA_SOURCE_RETURN_SCHEMA_MISMATCH]
Return schema mismatch in the result from 'read' method.
Expected: <expected_schema>, Found: <actual_schema>
```
Yes, the error contains two error classes. The outer
`PYTHON_STREAMING_DATA_SOURCE_RUNTIME_ERROR` wraps the inner
`DATA_SOURCE_RETURN_SCHEMA_MISMATCH` error. We use a general outer class to
provide consistent error handling across all operations in streaming, while
preserving the original Python error message for debugging.
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