Skip to content

Latest commit

 

History

History
92 lines (69 loc) · 2.76 KB

README.md

File metadata and controls

92 lines (69 loc) · 2.76 KB
Raw

workflow-relay

Microservice for ingest of workflow events, routing to appropriate Kafka topics, and indexing into elasticsearch.

Build

With maven:

mvn clean package

With docker:

docker build .

Run

The uber jar can be run as a spring boot application with the following command:

java -jar target/workflow-relay.jar

Or with docker:

docker run icgcargo/workflow-relay

Test

mvn clean test

Design

Design Diagram

Modes

The different modes or features of the workflow-relay can be enabled with spring run profiles.

This allows for the different aspects of the relay service to be deployed and scaled independently.

Weblog

 --spring.profiles.active=weblog

Provides HTTP endpoint at the application root for POSTing events. Current use case is with nextflow:

./nextflow run hello -with-weblog http://localhost:8080/

Publishes POSTed event data AS IS to the weblog kafka topic.

Splitter

 --spring.profiles.active=splitter

When this profile is active, the relay service will consume events from the weblog kafka topic, and based on the event structure, publish them to either the workflow or task topics.

Index

 --spring.profiles.active=index

When this profile is active, the relay will subscribe to the configured workflow and task topics. This profile will also ensure the required indices in Elastic search exist and create them if necessary.

For every task event it will index it AS IS to the task index.

For every workflow event, it will UPSERT into elaticsearch, with the aim that each workflow run have exectly one document in the workflow index, and it will contain the final known state.

How to monitor topics using Kafka

To monitor weblog topics:

bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic weblog

To monitor task topics:

bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic task

To monitor workflow topics:

bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic workflow

Elastic Search mapping notes

  • In ES 7.00+, these are all the available match_mapping_type for dynamic templates: [object, string, long, double, boolean, date, binary]
  • The run_log mapping has match_mapping_type dynamic templates which maps double, long, boolean, date and binary to keyword.
  • In run_log index, the repository field is using a customized stop analyzer which is basically a simple analyzer with configurable stop words (more info here). The array of stopwords will be ignored when matching queries for this field.