The logger name for bulk indexing in JDBC plugin is "NodeClient"
So if you want to mute the log messages, use something like
in config/logging.yml
logger:
NodeClient: OFF
maybe with "log4j", I don't know:
logger:
log4j:
NodeClient: OFF
or if you use log4j, in log4j.properties:
logger.log4j.NodeClient = OFF
or if you use log4j2, then in log4j2.xml
<?xml version="1.0" encoding="UTF-8"?>
<configuration status="OFF">
<appenders>
<Console name="Console" target="SYSTEM_OUT">
<PatternLayout pattern="[%d{ABSOLUTE}][%-5p][%-25c][%t] %m%n"/>
</Console>
</appenders>
<Loggers>
<Root level="info">
<AppenderRef ref="Console" />
</Root>
<Logger name="NodeClient" level="OFF">
<AppenderRef ref="Console" />
</Logger>
</Loggers>
</configuration>
Jörg
On Mon, Jul 28, 2014 at 11:06 AM, Ben <[email protected]> wrote:
> Hi there,
>
> I am using ES for calculating aggregations on a dataset of sales data
> (about 50,000,000 docs or 10GB of data). As an example, I am using the date
> histogram aggregation with term / sum sub-aggregations to get the sales sum
> per day and product. There is a product_id, a date field, and a quantity
> field among others.
>
> This use case has no live indexing (!). I bulk-index the new sales data
> once a day, shortly after midnight for the previous day only - during the
> rest of the day, no new data is added. I also do not use any result sets
> other than the aggregations results, so my result size is always set to 0
> (zero) in queries.
>
> My machine has 128GB Ram (about 75GB reserved to ES via ES_MIN_MEM /
> ES_MAX_MEM) and 12 cores, and SSD disks.
> I am using a config of 1 shard and 0 replica (no cluster - this is a
> single, isolated machine).
>
> My aim is to make the aggregation calculations perform as fast as
> possible. Are there any recommendations for config setting for ES or the
> Indexes?
>
> Another questions is if there is a way to silence the bulk indexing logs
> (I am using Jörg Prante's JDBC plugin) to zero output? I was unable to find
> the right setting to do that.
>
> Thank you!
> Ben
>
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