srowen commented on a change in pull request #23462: [SPARK-26546][SQL] Caching
of java.time.format.DateTimeFormatter
URL: https://github.com/apache/spark/pull/23462#discussion_r245511664
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/DateTimeFormatterHelper.scala
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@@ -22,10 +22,40 @@ import java.time.chrono.IsoChronology
import java.time.format.{DateTimeFormatter, DateTimeFormatterBuilder,
ResolverStyle}
import java.time.temporal.{ChronoField, TemporalAccessor, TemporalQueries}
import java.util.Locale
+import java.util.concurrent.ConcurrentHashMap
trait DateTimeFormatterHelper {
+ protected def toInstantWithZoneId(temporalAccessor: TemporalAccessor,
zoneId: ZoneId): Instant = {
+ val localTime = if (temporalAccessor.query(TemporalQueries.localTime) ==
null) {
+ LocalTime.ofNanoOfDay(0)
+ } else {
+ LocalTime.from(temporalAccessor)
+ }
+ val localDate = LocalDate.from(temporalAccessor)
+ val localDateTime = LocalDateTime.of(localDate, localTime)
+ val zonedDateTime = ZonedDateTime.of(localDateTime, zoneId)
+ Instant.from(zonedDateTime)
+ }
+}
+
+object DateTimeFormatterHelper {
+ private val cache = new ConcurrentHashMap[(String, Locale),
DateTimeFormatter]()
+
+ def getFormatter(pattern: String, locale: Locale): DateTimeFormatter = {
+ val key = (pattern, locale)
+ var formatter = cache.get(key)
Review comment:
Sure, but that's necessary to avoid computing it more than once right? and
only is an issue if multiple threads need the value at once, the first time. if
it's blocking for milliseconds that seems OK. It would be an issue if it meant
every subsequent access slowed down or was unnecessarily contended.
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