Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/6759#discussion_r32299296
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetConverter.scala ---
@@ -498,69 +493,21 @@ private[parquet] object CatalystArrayConverter {
}
private[parquet] object CatalystTimestampConverter {
- // TODO most part of this comes from Hive-0.14
- // Hive code might have some issues, so we need to keep an eye on it.
- // Also we use NanoTime and Int96Values from parquet-examples.
- // We utilize jodd to convert between NanoTime and Timestamp
- val parquetTsCalendar = new ThreadLocal[Calendar]
- def getCalendar: Calendar = {
- // this is a cache for the calendar instance.
- if (parquetTsCalendar.get == null) {
-
parquetTsCalendar.set(Calendar.getInstance(TimeZone.getTimeZone("GMT")))
- }
- parquetTsCalendar.get
- }
- val NANOS_PER_SECOND: Long = 1000000000
- val SECONDS_PER_MINUTE: Long = 60
- val MINUTES_PER_HOUR: Long = 60
- val NANOS_PER_MILLI: Long = 1000000
+ // see
http://stackoverflow.com/questions/466321/convert-unix-timestamp-to-julian
+ val JULIAN_DAY_OF_EPOCH = 2440587.5
--- End diff --
if we generate parquet with hive query like this we could compare the
timestamp value in Spark?
```
USE default;
DROP TABLE timestamptable;
CREATE TABLE timestamptable
STORED AS PARQUET
AS
SELECT cast(from_unixtime(unix_timestamp()) as timestamp) as t, * FROM
sample_07;
```
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