apache/shardingsphere-elasticjob
apache/shardingsphere-elasticjob has 8,197 GitHub stars and 3,248 forks. GitHot measured 0 stars in 24 hours and 0 in 7 days. Last checked 2026-11-09 01:27 UTC. Last push 2026-10-27.
Distributed scheduled job
What you can do
- Support job sharding and high availability in distributed system
- Scale out for throughput and efficiency improvement
- Job processing capacity is flexible and scalable with the allocation of resources
- Execute job on suitable time and assigned resources
Measured star growth
- in 24h
- 0
- in 7 days
- 0
- in 15 days
- Collecting history
- in 1 month
- Collecting history
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
OriginalElasticJob - Distributed scheduled job
Official website: https://shardingsphere.apache.org/elasticjob/
Through the functions of flexible scheduling, resource management and job management, it creates a distributed scheduling solution suitable for Internet scenarios, and provides a diversified job ecosystem through open architecture design. It uses a unified job API for each project. Developers only need code one time and can deploy at will.
ElasticJob became an Apache ShardingSphere Sub-project on May 28 2020.
You are welcome to communicate with the community via the mailing list.
Introduction
Using ElasticJob developers can no longer worry about the non functional requirements such as job scale out, so that they can focus more on business coding. At the same time, it can release operators too, so that they do not have to worry about high availability and management, and can automatically operate by simply adding servers.
It is a lightweight, decentralized solution that provides distributed task sharding services.

Features
Elastic Schedule
- Support job sharding and high availability in distributed system
- Scale out for throughput and efficiency improvement
- Job processing capacity is flexible and scalable with the allocation of resources
Resource Assign
- Execute job on suitable time and assigned resources
- Aggregation same job to same job executor
- Append resources to newly assigned jobs dynamically
Job Governance
- Failover
- Misfired
- Self diagnose and recover when distribute environment unstable
Job Dependency (TODO)
- DAG based job dependency
- DAG based job item dependency
Job Open Ecosystem
- Unify job api for extension
- Support rich job type lib, such as dataflow, script, HTTP, file, big data
- Focus business SDK, can work with Spring IOC
-
- Job administration
- Job event trace query
- Registry center management
Environment Required
Java
Java 8 or above required.
Maven
Maven 3.5.0 or above required.
ZooKeeper
ZooKeeper 3.6.0 or above required. See details
Explore related projects
Asabeneh/30-Days-Of-Python
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,423 starsgrafana/grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
77,763 starsredis/redis
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
77,309 starsapache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
75,453 stars