itholic commented on code in PR #40672:
URL: https://github.com/apache/spark/pull/40672#discussion_r1159215698
##########
python/pyspark/sql/tests/connect/test_connect_basic.py:
##########
@@ -229,8 +230,29 @@ def test_df_get_item(self):
def test_error_handling(self):
# SPARK-41533 Proper error handling for Spark Connect
df = self.connect.range(10).select("id2")
- with self.assertRaises(AnalysisException):
+ with self.assertRaises(AnalysisException) as e:
df.collect()
+ self.check_error(
+ exception=e.exception,
+ error_class="UNRESOLVED_COLUMN.WITH_SUGGESTION",
+ message_parameters=dict(objectName="`id2`", proposal="`id`")
+ )
+
+ def test_error_classes(self):
+ with self.assertRaises(ParseException) as e:
+ self.connect.sql("select ;")
+ self.assertEqual(e.exception.getErrorClass(), "PARSE_SYNTAX_ERROR")
+
+ self.connect.conf.set("spark.sql.ansi.enabled", True)
+ with self.assertRaises(ArithmeticException) as e:
+ self.connect.sql("select 1/0").collect()
+ self.assertEqual(e.exception.getErrorClass(), "DIVIDE_BY_ZERO")
+ self.connect.conf.set("spark.sql.ansi.enabled", False)
+
+ with self.assertRaises(SparkConnectException) as e:
+ df = self.connect.createDataFrame({'x': 1, 'y': 2})
+ df.write.mode("overwrite").format("noformat").saveAsTable("t")
+ self.assertEqual(e.exception.getErrorClass(), "DATA_SOURCE_NOT_FOUND")
Review Comment:
FYI @gatorsmile here is the good example to test error class generated from
JVM side on PySpark test.
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