Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/16308#discussion_r97221574
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeUtils.scala
---
@@ -69,49 +69,68 @@ object DateTimeUtils {
}
}
- // Java TimeZone has no mention of thread safety. Use thread local
instance to be safe.
- private val threadLocalLocalTimeZone = new ThreadLocal[TimeZone] {
- override protected def initialValue: TimeZone = {
- Calendar.getInstance.getTimeZone
- }
- }
-
// `SimpleDateFormat` is not thread-safe.
- val threadLocalTimestampFormat = new ThreadLocal[DateFormat] {
+ private val threadLocalTimestampFormat = new ThreadLocal[DateFormat] {
override def initialValue(): SimpleDateFormat = {
new SimpleDateFormat("yyyy-MM-dd HH:mm:ss", Locale.US)
}
}
+ def getThreadLocalTimestampFormat(timeZone: TimeZone): DateFormat = {
+ val sdf = threadLocalTimestampFormat.get()
+ sdf.setTimeZone(timeZone)
+ sdf
+ }
+
// `SimpleDateFormat` is not thread-safe.
private val threadLocalDateFormat = new ThreadLocal[DateFormat] {
override def initialValue(): SimpleDateFormat = {
new SimpleDateFormat("yyyy-MM-dd", Locale.US)
}
}
+ def getThreadLocalDateFormat(): DateFormat = {
+ val sdf = threadLocalDateFormat.get()
+ sdf.setTimeZone(defaultTimeZone())
+ sdf
+ }
+
// we should use the exact day as Int, for example, (year, month, day)
-> day
def millisToDays(millisUtc: Long): SQLDate = {
--- End diff --
Yes, I think so except for JSON/CSV datasources or partition value related
codes, which will be fixed by the follow-up prs.
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