i solved this issue by creating tables in metastore manually.
Thanks
Mahesh
On Mon, Jun 22, 2015 at 10:48 AM, Mahesh Sankaran
wrote:
> Yes i upgraded my hive and HMS recently.but there is no mismatch between
> hive and HMS.
>
> On Mon, Jun 22, 2015 at 10:30 AM, Vishnu Viswanath <
> vishnu.viswa
Yes i upgraded my hive and HMS recently.but there is no mismatch between
hive and HMS.
On Mon, Jun 22, 2015 at 10:30 AM, Vishnu Viswanath <
vishnu.viswanat...@gmail.com> wrote:
> from the JIRA comments it looks like there is a miss match between your
> hive and HMS. Did you upgrade hive recently?
from the JIRA comments it looks like there is a miss match between your
hive and HMS. Did you upgrade hive recently?
On Mon, Jun 22, 2015 at 10:23 AM, Mahesh Sankaran
wrote:
> Any thoughts regarding this problem??
>
> Mahesh
>
> On Sat, Jun 20, 2015 at 10:55 AM, Mahesh Sankaran <
> sankarmahes..
Any thoughts regarding this problem??
Mahesh
On Sat, Jun 20, 2015 at 10:55 AM, Mahesh Sankaran
wrote:
> Hi all,
>
> I am using hive-1.1.0 and hadoop-2.6.0.
>
> am trying to rename a existing table in hive but it shows following error.
>
> hive> *altertable testrename rename to testrenamebkp ;*
Tried that too. Still didn't work for me. Anyway, I'm past that for now.
Thanks for the help,
Rajat
On Wed, Jun 17, 2015 at 7:44 PM, Ruoxi Sun wrote:
> Hi Rajat, I used an alternative instead of Datanucleus plugin in IntelliJ.
> Try create a run configuration as the following pictured shows. An
Hi Sreejesh,
The data in an ORC file is divided into stripes and in these stripes columns
are divided into column groups.
The compression is at the column group level, so to answer your question ORC
files are splittable no matter the codec used.
Daniel
> On 21 ביוני 2015, at 10:56, sreejesh s
Hi,
As per my understanding, the available codecs for ORC file format Hive table
compression are either Zlib or Snappy.Both the compression techniques are non
splittable.. Does it mean that any queries on Hive table stored as ORC and
compressed will not run multiple maps in parallel ???
I know t