Nice work, can you share the recipe with the community?

I could post it on the JDBC plugin wiki

Jörg

On Wed, Apr 29, 2015 at 1:56 PM, GWired <garrettcjohn...@gmail.com> wrote:

> My theory is that i was overloading my ES VM's on initial loads or when
> doing large loads.
>
> My cpu would jump to 99% and during the pulls it would fail silently and
> the river thought it got all the documents but didn't.
>
> I have since rewritten my rivers using Stored procedures instead and it
> pulls much faster and CPU doesn't go to high.
>
> The procedure keeps track of the created_at and updated_at for me instead
> of using the column strategy.  I also chunked my initial calls into logical
> batches.  Mine happen to be date based by month.  I couldn't figure out a
> way that made sense using row sizes or anything and month seemed just as
> good as any and it works.
>
> This also solved my problem of when / ES is turned off.  It now will just
> start back up where it last left off because SQL server is storing that
> info instead of ES.  I also made it so I can rebuild at will.
>
> Thanks Garrett
>
>
>
> On Thursday, April 23, 2015 at 2:48:03 AM UTC-4, Jörg Prante wrote:
>>
>> There are log messages at ES cluster side, you should look there why bulk
>> indexing failed.
>>
>> Jörg
>>
>> On Thu, Apr 23, 2015 at 5:45 AM, GWired <garrett...@gmail.com> wrote:
>>
>>> Found this in the logs:
>>>
>>> [2015-04-22 22:01:25,063][ERROR][river.jdbc.BulkNodeClient] bulk [15]
>>> failed with 945 failed items, failure message = failure in bulk execution:
>>>
>>>
>>>
>>> On Wednesday, April 22, 2015 at 7:53:25 PM UTC-5, GWired wrote:
>>>>
>>>> Hi All,
>>>>
>>>> I've just been informed that i'm off by up to 100k records or so in my
>>>> jdbc river fed index.
>>>>
>>>> I am using the column strategy using a createddate and lastmodified
>>>> date.
>>>>
>>>> Kibana is reporting an entirely different # than what i see reported in
>>>> the DB..
>>>>
>>>> Table A has 978634 in SQL, 934646 shown in Kibana.
>>>> Table B has 957327 in SQL, 876725 shown in Kibana.
>>>> Table C has 312826 in SQL, 238534 shown in Kibana
>>>>
>>>> I see in the ES logs
>>>>
>>>> Table A metrics: 979044 rows,
>>>> Table B metrics: 957591 rows
>>>> Table C metrics: 312827 rows,
>>>>
>>>> These are the right numbers...well at least closer to right.
>>>>
>>>> But if i do this using Sense:
>>>>
>>>> GET jdbc/mytable/_count?q=*
>>>>
>>>> It returns the same # as Kibana is return.
>>>>
>>>> This erring version is running on ES 1.5.1 with Kibana version 3.0
>>>>
>>>> On another server with ES 1.5.0 and Kibana 3.0 it is working just fine
>>>> #'s match up.
>>>>
>>>> Any ideas?
>>>>
>>>>
>>>>
>>>>
>>>>
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