docker-compose-demo

Overview

This repository illustrates reference implementations of Senzing using docker-compose.

The instructions show how to set up a system that:

1. Reads JSON lines from a file on the internet.
2. Sends each JSON line as a message to a queue.
3. Reads messages from the queue and inserts into Senzing.
4. Reads information from Senzing via Senzing REST API server.
5. Views resolved entities in a web app.

The following diagram shows the relationship of the docker containers in this docker composition. Arrows represent data flow.

Implementation

The following table indicates the instructions for variations in components.

1. Component variants:

   1. Queue
      1. AWS SQS
      2. RabbitMQ
      3. Kafka
   2. Database
      1. Postgres
      2. MySQL
      3. MS SQL
      4. Db2

2. Implementations of the docker formation:

   Queue	Database	Instructions	docker-compose.yaml
   AWS SQS	PostgreSQL	instructions	docker-compose-sqs-postgresql.yaml
   Kafka	Db2	instructions	docker-compose-kafka-db2.yaml
   Kafka	MSSQL	instructions	docker-compose-kafka-mssql.yaml
   Kafka	MySQL	instructions	docker-compose-kafka-mysql.yaml
   Kafka	PostgreSQL	instructions	docker-compose-kafka-postgresql.yaml
   RabbitMQ	Db2	instructions	docker-compose-rabbitmq-db2.yaml
   RabbitMQ	MSSQL	instructions	docker-compose-rabbitmq-mssql.yaml
   RabbitMQ	MySQL	instructions	docker-compose-rabbitmq-mysql.yaml
   RabbitMQ	PostgreSQL	instructions	docker-compose-rabbitmq-postgresql.yaml

3. Advanced docker formations:

   Instructions	Notes
   instructions	Various enhancements built upon Amazon SQS and PostgreSQL.
   instructions	Various enhancements built upon RabbitMQ and PostgreSQL.
   instructions	Various enhancements built upon Kafka and PostgreSQL.