Elektron EMAConfig.xml Consumer Buffer tuning

michael.chong

At market close we seem to be running out of performance. The messages arrive and the EMA API gives out. I have tried to move most processing onto other treads. But because of the GlobalBuffer some processing, i.e. copying has to be on the AppClient callback thread, becaue the FieldEntry objects are transient. Does changing the Channel NumInputBuffers SysRecvBufSize and HighWaterMark make any difference? If I change these what are good values to have?

wasin.w

Hello @michael.chong

Does the application encounters the memory leak problem or the ADS log contains "Output threshold breached for <EMS login user> .." message? If so, it means the consumer
application can not read data sent from ADS fast enough (a slow consumer).

You can
implement the application performance to speed up picking up events in the
Application callbacks to make the application and API consume data from the ADS
faster. The
suggested solutions are:

1. Process incoming data with minimize time in the
callback methods, onRefreshMsg(), onUpdateMsg, onStatusMsg(), etc.
Basically, the longer the application is held in this method, the more events
are added up in the queue, which leads to the overflow scenario and
disconnections. Avoid making database and/or other
blocking calls in the methods. The application may have additional thread to
process the received event separately.

2. You can
improve the application performance by using the horizontal scaling to
distribute the process of response/update messages between multiple CPU cores
while running a single process on the machine. This would increase the response
message throughput of the application.

Below is
the example design of the application applied horizontal scaling with 4
OMMConsumer threads:

All
OmmConsumer threads are configured to the same host/port to make the
application creates multiple connections to the same TREP infra.

Please be
informed that the horizontal scaling may not be fully beneficial to
applications when the number of threads is higher than the number of the
machine CPU’s cores.

Please
see the horizontal scaling implementation example from EMA Java’s example410__MarketPrice__HorizontalScaling
application. The example is available at <EMA 3.2 package>\Java\Ema\Examples\src\main\java\com\thomsonreuters\ema\examples\training\consumer\series400\example410__MarketPrice__HorizontalScaling folder.