I see, then this is actually irrelevant to Parquet. I guess can support
Joda DateTime in Spark SQL reflective schema inference to have this,
provided that this is a frequent use case and Spark SQL already has Joda
as a direct dependency.
On the other hand, if you are using Scala, you can write a simple
implicit conversion method to avoid all the manual conversions.
Cheng
On 11/24/15 7:25 PM, Bryan wrote:
Cheng,
That’s exactly what I was hoping for – native support for writing
DateTime objects. As it stands Spark 1.5.2 seems to leave no option
but to do manual conversion (to nanos, Timestamp, etc) prior to
writing records to hive.
Regards,
Bryan Jeffrey
Sent from Outlook Mail
*From: *Cheng Lian
*Sent: *Tuesday, November 24, 2015 1:42 AM
*To: *Bryan Jeffrey;user
*Subject: *Re: DateTime Support - Hive Parquet
Hey Bryan,
What do you mean by "DateTime properties"? Hive and Spark SQL both
support DATE and TIMESTAMP types, but there's no DATETIME type. So I
assume you are referring to Java class DateTime (possibly the one in
joda)? Could you please provide a sample snippet that illustrates your
requirement?
Cheng
On 11/23/15 9:40 PM, Bryan Jeffrey wrote:
> All,
>
> I am attempting to write objects that include a DateTime properties to
> a persistent table using Spark 1.5.2 / HiveContext. In 1.4.1 I was
> forced to convert the DateTime properties to Timestamp properties. I
> was under the impression that this issue was fixed in the default Hive
> supported with 1.5.2 - however, I am still seeing the associated errors.
>
> Is there a bug I can follow to determine when DateTime will be
> supported for Parquet?
>
> Regards,
>
> Bryan Jeffrey
