Hi Rahul, According to the parquet specification <https://github.com/Parquet/parquet-format/blob/master/LogicalTypes.md#timestamp_millis> the primitive datatype for the TIMESTAMP logical type is INT64 (INT96 has a deprecated label). That's why Drill has not a mechanism to generate such values. But it seems that Spark is going to support INT64 TIMESTAMP values - SPARK-10364 <https://issues.apache.org/jira/browse/SPARK-10364>
Kind regards Vitalii On Sat, Apr 1, 2017 at 2:56 PM, Rahul Raj <[email protected]> wrote: > I'm unable to read drill generated timestamp column inside a spark program. > Drill 1.10 has support for reading int96 as timestamp. Is it possible to > generate the same from drill? > > Is there any mechanism to read drills int64 from spark? > > Rahul > > -- > **** This email and any files transmitted with it are confidential and > intended solely for the use of the individual or entity to whom it is > addressed. If you are not the named addressee then you should not > disseminate, distribute or copy this e-mail. Please notify the sender > immediately and delete this e-mail from your system.**** >
