Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/3820#issuecomment-70904105
Good to hear. Here's how I create my test data, I run this in Hive and then
take the data from HDFS directly and Spark is able to read/parse the data file
(with issue above):
Set parquet.compression = SNAPPY;
DROP TABLE testdata;
CREATE TABLE testdata
STORED AS PARQUET
AS SELECT a.*, from_utc_timestamp('1970-01-01 08:00:00','PST') as timestamp
FROM sample_07 AS a;
I have looked into this a fair bit and attempted a fix. Thanks for working
on this fix and let me know if I could help in any way.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
