> We are using for Spark SQL :
Does SparkSQL support Transactional tables?
I thought Transactional tables needed a dead-lock proof LockManager, which
was a hive-specific feature?
Cheers,
Gopal
Depending on the version of Hive on Spark engine.
As far as I am aware the latest version of Hive that I am using (Hive 2)
has improvements compared to the previous versions of Hive (0.14,1.2.1) on
Spark engine.
As of today I have managed to use Hive 2.0 on Spark version 1.3.1. So it is
not the l
Just curious if you could share your experience on the performance of spark in
your company? How much data do you process? And what's the latency you are
getting with spark engine?
Vidya
Very nice! Thank you, Chandeep.
On Sat, Mar 12, 2016 at 8:20 PM, Chandeep Singh wrote:
> Not sure if there is a function for that but I wrote a UDF to do so -
> https://github.com/chandeepsingh/Hive-UDFs
>
> hive> ADD JAR hive-udfs-1.0-uber.jar;
> Added [hive-udfs-1.0-uber.jar] to class path
>
Hi All,
We are using for Spark SQL :
- Hive :1.2.1
- Spark : 1.3.1
- Hadoop :2.7.1
Let me know if needs other details to debug the issue.
Regards
Sanjiv Singh
Mob : +091 9990-447-339
On Sun, Mar 13, 2016 at 1:07 AM, Mich Talebzadeh
wrote:
> Hi,
>
> Thanks for the input. I use Hive
Hi,
ALTER TABLE ... RENAME just renames table and its files leaving the
location in the same database to save work and space. Other alternative is
going to another database (which basically means another sub-directory of
warehouse and create the table with CREATE TABLE AS SELECT * from
TABLE ..
