MaxGekk commented on code in PR #44789:
URL: https://github.com/apache/spark/pull/44789#discussion_r1458404759
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sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchemaSuite.scala:
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@@ -267,7 +267,9 @@ class CSVInferSchemaSuite extends SparkFunSuite with
SQLHelper {
test("SPARK-45433: inferring the schema when timestamps do not match
specified timestampFormat" +
" with only one row") {
val options = new CSVOptions(
- Map("timestampFormat" -> "yyyy-MM-dd'T'HH:mm:ss"),
+ Map(
+ "timestampFormat" -> "yyyy-MM-dd'T'HH:mm:ss",
+ "timestampNTZFormat" -> "yyyy-MM-dd HH:mm:ss"),
Review Comment:
To infer the STRING type, the input must not match to **both** formats:
`TIMESTAMP` and `TIMESTAMP_NTZ`. Just set `timestampFormat` is not enough.
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