itholic commented on code in PR #45377:
URL: https://github.com/apache/spark/pull/45377#discussion_r1553150727
##########
python/pyspark/sql/tests/test_dataframe.py:
##########
@@ -825,6 +828,231 @@ def test_duplicate_field_names(self):
self.assertEqual(df.schema, schema)
self.assertEqual(df.collect(), data)
+ def test_dataframe_error_context(self):
+ # SPARK-47274: Add more useful contexts for PySpark DataFrame API
errors.
+ with self.sql_conf({"spark.sql.ansi.enabled": True}):
+ df = self.spark.range(10)
+
+ # DataFrameQueryContext with pysparkCallSite - divide
+ with self.assertRaises(ArithmeticException) as pe:
+ df.withColumn("div_zero", df.id / 0).collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="DIVIDE_BY_ZERO",
+ message_parameters={"config": '"spark.sql.ansi.enabled"'},
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="divide",
+ )
+
+ # DataFrameQueryContext with pysparkCallSite - plus
+ with self.assertRaises(NumberFormatException) as pe:
+ df.withColumn("plus_invalid_type", df.id + "string").collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="CAST_INVALID_INPUT",
+ message_parameters={
+ "expression": "'string'",
+ "sourceType": '"STRING"',
+ "targetType": '"BIGINT"',
+ "ansiConfig": '"spark.sql.ansi.enabled"',
+ },
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="plus",
+ )
+
+ # DataFrameQueryContext with pysparkCallSite - minus
+ with self.assertRaises(NumberFormatException) as pe:
+ df.withColumn("minus_invalid_type", df.id - "string").collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="CAST_INVALID_INPUT",
+ message_parameters={
+ "expression": "'string'",
+ "sourceType": '"STRING"',
+ "targetType": '"BIGINT"',
+ "ansiConfig": '"spark.sql.ansi.enabled"',
+ },
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="minus",
+ )
+
+ # DataFrameQueryContext with pysparkCallSite - multiply
+ with self.assertRaises(NumberFormatException) as pe:
+ df.withColumn("multiply_invalid_type", df.id *
"string").collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="CAST_INVALID_INPUT",
+ message_parameters={
+ "expression": "'string'",
+ "sourceType": '"STRING"',
+ "targetType": '"BIGINT"',
+ "ansiConfig": '"spark.sql.ansi.enabled"',
+ },
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="multiply",
+ )
+
+ # DataFrameQueryContext with pysparkCallSite - chained (`divide`
is problematic)
+ with self.assertRaises(ArithmeticException) as pe:
+ df.withColumn("multiply_ten", df.id * 10).withColumn(
+ "divide_zero", df.id / 0
+ ).withColumn("plus_ten", df.id + 10).withColumn("minus_ten",
df.id - 10).collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="DIVIDE_BY_ZERO",
+ message_parameters={"config": '"spark.sql.ansi.enabled"'},
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="divide",
+ )
+
+ # DataFrameQueryContext with pysparkCallSite - chained (`plus` is
problematic)
+ with self.assertRaises(NumberFormatException) as pe:
+ df.withColumn("multiply_ten", df.id * 10).withColumn(
+ "divide_ten", df.id / 10
+ ).withColumn("plus_string", df.id + "string").withColumn(
+ "minus_ten", df.id - 10
+ ).collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="CAST_INVALID_INPUT",
+ message_parameters={
+ "expression": "'string'",
+ "sourceType": '"STRING"',
+ "targetType": '"BIGINT"',
+ "ansiConfig": '"spark.sql.ansi.enabled"',
+ },
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="plus",
+ )
+
+ # DataFrameQueryContext with pysparkCallSite - chained (`minus` is
problematic)
+ with self.assertRaises(NumberFormatException) as pe:
+ df.withColumn("multiply_ten", df.id * 10).withColumn(
+ "divide_ten", df.id / 10
+ ).withColumn("plus_ten", df.id + 10).withColumn(
+ "minus_string", df.id - "string"
+ ).collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="CAST_INVALID_INPUT",
+ message_parameters={
+ "expression": "'string'",
+ "sourceType": '"STRING"',
+ "targetType": '"BIGINT"',
+ "ansiConfig": '"spark.sql.ansi.enabled"',
+ },
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="minus",
+ )
+
+ # DataFrameQueryContext with pysparkCallSite - chained (`multiply`
is problematic)
+ with self.assertRaises(NumberFormatException) as pe:
+ df.withColumn("multiply_string", df.id * "string").withColumn(
+ "divide_ten", df.id / 10
+ ).withColumn("plus_ten", df.id + 10).withColumn("minus_ten",
df.id - 10).collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="CAST_INVALID_INPUT",
+ message_parameters={
+ "expression": "'string'",
+ "sourceType": '"STRING"',
+ "targetType": '"BIGINT"',
+ "ansiConfig": '"spark.sql.ansi.enabled"',
+ },
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="multiply",
+ )
+
+ # Multiple expressions in df.select (`divide` is problematic)
+ with self.assertRaises(ArithmeticException) as pe:
+ df.select(df.id - 10, df.id + 4, df.id / 0, df.id *
5).collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="DIVIDE_BY_ZERO",
+ message_parameters={"config": '"spark.sql.ansi.enabled"'},
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="divide",
+ )
+
+ # Multiple expressions in df.select (`plus` is problematic)
+ with self.assertRaises(NumberFormatException) as pe:
+ df.select(df.id - 10, df.id + "string", df.id / 10, df.id *
5).collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="CAST_INVALID_INPUT",
+ message_parameters={
+ "expression": "'string'",
+ "sourceType": '"STRING"',
+ "targetType": '"BIGINT"',
+ "ansiConfig": '"spark.sql.ansi.enabled"',
+ },
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="plus",
+ )
+
+ # Multiple expressions in df.select (`minus` is problematic)
+ with self.assertRaises(NumberFormatException) as pe:
+ df.select(df.id - "string", df.id + 4, df.id / 10, df.id *
5).collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="CAST_INVALID_INPUT",
+ message_parameters={
+ "expression": "'string'",
+ "sourceType": '"STRING"',
+ "targetType": '"BIGINT"',
+ "ansiConfig": '"spark.sql.ansi.enabled"',
+ },
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="minus",
+ )
+
+ # Multiple expressions in df.select (`multiply` is problematic)
+ with self.assertRaises(NumberFormatException) as pe:
+ df.select(df.id - 10, df.id + 4, df.id / 10, df.id *
"string").collect()
+ self.check_error(
+ exception=pe.exception,
+ error_class="CAST_INVALID_INPUT",
+ message_parameters={
+ "expression": "'string'",
+ "sourceType": '"STRING"',
+ "targetType": '"BIGINT"',
+ "ansiConfig": '"spark.sql.ansi.enabled"',
+ },
+ query_context_type=QueryContextType.DataFrame,
+ pyspark_fragment="multiply",
+ )
Review Comment:
cc @ueshin added some test cases for multiple operations here
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