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Clockwork-Scheduler

Clockwork-Scheduler is a general purpose distributed job scheduler. It offers you horizontally scalable scheduler with atleast once delivery guarantees. Currently supported task delivery mechanism is kafka, at task execution time the schedule data is pushed to the given kafka topic.

It uses kafka for task buffering ordering, shard calculation and delivery. Currently DynamoDB is the only supported database.

Architecture

Find more on blog here

architecture

Getting Started

Prerequisites

java > 8
kafka > 0.11
DynamoDB

Setup

  • Create a dynamodb table called partitionExecutions with partitionKey partitionId(String) and no sort key.

  • Create a dynamodb table called schedules with partitionKey partitionId(String) and scheduleTime(Number).

  • (Optional) if you will be using cancel api then create a GSI on table called scheduleKey-index.

  • Set environment variables KAFKA_BROKERS, KAFKA_CONSUMER_GROUP, AWS_REGION AWS_ACCESS_KEY, AWS_SECRET_KEY, SCHEDULE_DB and PARTITION_EXEC_DB.

You can modify custom settings here src/main/resources/application.properties.

Run

mvn package and java -jar {package.jar}

Usage

Create schedulePOST /schedule

{
	"clientId": "client1",
	"scheduleKey": "order1-create",
	"orderingKey": "order1",
	"taskData": "payload",
	"delivery": {
		"topic": "orderTopic"
	},
	"scheduleTime": 1553629195570
}

clientId: field to identify clients in multi client deployment
scheduleId: unique key for schedule (clientId + scheduleId should be unique
orderingKey: (to guarantee ordering among schedule) all schedule with same ordering key will be delivered in order taskData: payload you want to receive when schedule fires topic: kafka topic in which you want to receive event scheduleTime: schedule time in epoch

TODO

  • Support REST callback
  • Support Cassandra store

Advanced

Kafka

To customise kafka connection settings eg. authentication use modify config/KafkaConfig

Logging

All private methods are logged by default by aspect logger in /aspect, You can disable logging on particular method by adding @NoLogging to it or remove PublicMethodLogging to remove all logging

Metrics

Micrometer is used to push execution and creation metrics to elasticsearch to publish dashboards configure management.metrics.export.elastic.* properties to set it up

Executor

backoffsleeptime.sec time to sleep if nothing to execute after number(5) of retries

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