if you have added a table with a serde definition
then just keep the jar in local filesystem and then in hive console do
add jar ;
this should make your serde available to table and you should be able to
drop the table then.
I just tried above steps and it works for my json based tables.
On We
Hi,
Request you to help.
Fetching unbounded tags from the xml in hive
We tried with xpath but unable to get all the unbounded tags.
a sample xml file is
1
1
2
we are able to get the application code by giving [1] in appdetail. Request
for help to get all the appdetail tags.
Unfortunately, regexp_extract only works with a single index.
If the fields in your line are delimited by some specific character, just
use the split function.
If not, you can use a combination of regexp_replace and split, like the
example below:
select split(regexp_replace('World Cup 2014', '(.*
Hi Vaibhav,
good question. We're using 0.8.0 RELEASE. Would 0.7.1 be preferable instead?
Thanks!
Soam
On Tue, Jun 10, 2014 at 8:00 PM, Vaibhav Gumashta wrote:
> Soam,
>
> What version of BoneCP are you using?
>
> Thanks,
> --Vaibhav
>
>
> On Tue, Jun 10, 2014 at 12:41 PM, Soam Acharya wrote
I tried to create a table that would use a csv serde. There were various
problems with it, primarily in that I couldn't figure out how to specify the
path to the serde (whether I indicate the serde location either locally or on
HDFS) there were subsequent errors about not finding the serde, eve
Soam,
What version of BoneCP are you using?
Thanks,
--Vaibhav
On Tue, Jun 10, 2014 at 12:41 PM, Soam Acharya wrote:
> Hi folks,
>
> we're seeing an intermittent issue between our Hive 0.13 metastore and
> mysql instance. After being idle for about 5 minutes or so, any
> transactions involving
Hi folks,
we're seeing an intermittent issue between our Hive 0.13 metastore and
mysql instance. After being idle for about 5 minutes or so, any
transactions involving the metastore and mysql causes the following error
to appear in the metastore log:
2014-06-09 05:13:52,066 ERROR bonecp.Connectio
I agree that the originally request is not very clear.
>From my understanding, the reference_id is very unique in both Ad load and Ad
>click tables, but both tables could contain huge amount of data. (But in
>theory, click table should be much smaller than the load table, right? But
>let's just
Hi,
First time poster here…
I am using UNIONTYPE field in a Hive table:
, Attributes UNIONTYPE, STRING>
Here’s a slither of data from that column:
Attributes
-
{0:{“relevance”:”1.1″}}
{0:{“relevance”:”1.2″}}
{0:{“relevance”:”1.3″}}
{0:{“relevance”:”1.4″}}
{0:{“relevance”:”1.5″}}
How
Hello,
I have a table that each record is in one line (line), and I want to
extract all patterns those match in each line, the actuel comportement of
the udf regexp_extract returns one occurence match!! but with
regexp_replace the comportement is différent (replace all pattern match
in line)
h
Hi Mark,
I still don't understand if you are trying to perform your join for one
specific known reference_id or for all of them?
In the first case, you should apply a pre-filter on each table first with
subqueries, and this would leave you with only a few rows for the join.
In the second case, yo
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