sz_rabbit_consumer

Overview

Simple parallel JSON data processor using the Senzing API and is meant to provide developers with a simple starting point for a simple, scalable addRecord processor.

It is a limited function [more or less] drop in replacement for the senzing/stream-loader when used for RabbitMQ. The latest code requires Senzing 3.5 or newer.

API demonstrated

Core

• addRecord[WithInfo]: Adds the Senzing JSON record

Supporting

• init: To initialize the G2Engine object
• stats: To retrieve internal engine diagnostic information as to what is going on in the engine

For more details on the Senzing API go to https://docs.senzing.com

Details

Required parameter (environment)

SENZING_ENGINE_CONFIGURATION_JSON
SENZING_RABBITMQ_QUEUE
SENZING_AMQP_URL

Optional parameters (environment)

SENZING_LOG_LEVEL (default: info)
SENZING_THREADS_PER_PROCESS (default: based on whatever concurrent.futures.ThreadPoolExecutor chooses automatically)
LONG_RECORD: (default: 300 seconds)

Building/Running

docker build -t brian/sz_rabbit_consumer .
docker run --user $UID -it -e SENZING_ENGINE_CONFIGURATION_JSON -e SENZING_RABBITMQ_QUEUE -e SENZING_AMQP_URL brian/sz_rabbit_consumer

Additional items to note

• Will exit on non-data related exceptions after processing or failing to process the current records in flight
• If a record takes more than 5min to process (LONG_RECORD), it will let you know which record it is and how long it has been processing
• Does not use the senzing-###### format for log messages (unlike the senzing/stream-loader) and simply uses python print with strings. It does use the standard senzing governor-postgresql-transaction-id module so you will see some messages using the standard format.
• Does not support "WithInfo" output to queues but you can provide a "-i" command line option that will enable printing the WithInfo responses out. It is simple enough to code in whatever you want done with WithInfo messages in your solution.