MaxGekk commented on code in PR #36169:
URL: https://github.com/apache/spark/pull/36169#discussion_r849650320
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sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala:
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@@ -278,4 +284,35 @@ class QueryExecutionErrorsSuite extends QueryTest
assert(e.getMessage ===
"Datetime operation overflow: add 1000000 YEAR to TIMESTAMP '2022-03-09
01:02:03'.")
}
+
+ test("CANNOT_PARSE_DECIMAL: unparseable decimal") {
+ val e1 = intercept[SparkException] {
+ val schema = new StructType().add("money", DecimalType.DoubleDecimal)
+ spark
+ .read
+ .schema(schema)
+ .format("csv")
+ .option("header", "true")
+ .option("locale", Locale.ROOT.toLanguageTag)
+ .option("multiLine", "true")
+ .option("inferSchema", "false")
+ .option("mode", "FAILFAST")
Review Comment:
Just wonder, is it possible to use the `from_csv` function? If so, we could
avoid access to the file system.
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