cloud-fan commented on code in PR #39812:
URL: https://github.com/apache/spark/pull/39812#discussion_r1091468483
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sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala:
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@@ -3511,8 +3511,9 @@ object SQLConf {
buildConf("spark.sql.inferTimestampNTZInDataSources.enabled")
.doc("When true, the TimestampNTZ type is the prior choice of the schema
inference " +
"over built-in data sources. Otherwise, the inference result will be
TimestampLTZ for " +
- "backward compatibility. As a result, for JSON/CSV files written with
TimestampNTZ " +
- "columns, the inference results will still be of TimestampLTZ types.")
+ "backward compatibility. As a result, for JSON/CSV files and partition
directories " +
+ "written with TimestampNTZ columns, the inference results will still
be of TimestampLTZ " +
+ "types.")
.version("3.4.0")
.booleanConf
.createWithDefault(false)
Review Comment:
does it mean users can't do NTZ roundtrip (write and read) in 3.4 by default?
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