Migrated repository
Go to file
Tboy 5212bab061 fix CheckUtils.checkUserParams method (#1090)
* move updateTaskState into try/catch block in case of exception

* fix NPE

* using conf.getInt instead of getString

* for AbstractZKClient, remove the log, for it will print the same log message in createZNodePath.
for AlertDao, correct the spelling.

* duplicate

* refactor getTaskWorkerGroupId

* add friendly log

* update hearbeat thread num = 1

* fix the bug when worker execute task using queue. and remove checking Tenant user anymore in TaskScheduleThread

* 1. move verifyTaskInstanceIsNull after taskInstance
2. keep verifyTenantIsNull/verifyTaskInstanceIsNull clean and readable

* fix the message

* delete before check to avoid KeeperException$NoNodeException

* fix the message

* check processInstance state before delete tenant

* check processInstance state before delete worker group

* refactor

* merge api constants into common constatns

* update the resource perm

* update the dataSource perm

* fix CheckUtils.checkUserParams method
2019-10-24 14:44:47 +08:00
.github Optimize ci (#1085) 2019-10-24 10:45:33 +08:00
dockerfile modify the configs of the dockerfile (#1020) 2019-10-23 23:04:30 +08:00
docs rename project and doc 2019-09-29 15:14:10 +08:00
dolphinscheduler-alert add enterprise.wechat.enable to decide whether to send enterprise WeChat (#1081) 2019-10-23 18:05:57 +08:00
dolphinscheduler-api fix CheckUtils.checkUserParams method (#1090) 2019-10-24 14:44:47 +08:00
dolphinscheduler-common merge api constants into common constants (#1084) 2019-10-24 10:20:56 +08:00
dolphinscheduler-dao check processInstance state before delete worker group (#1074) 2019-10-23 20:12:15 +08:00
dolphinscheduler-rpc license check (#1016) 2019-10-15 19:48:28 +08:00
dolphinscheduler-server merge api constants into common constants (#1084) 2019-10-24 10:20:56 +08:00
dolphinscheduler-ui Maximum width of tooltip is set to 500px, note the copyright number of login page (#1088) 2019-10-24 11:20:10 +08:00
script add log4j to resolve #967 (#1000) 2019-10-12 16:40:20 +08:00
sql dockerfile (#993) 2019-10-12 12:00:17 +08:00
.gitattributes Create .gitattributes 2019-03-29 23:51:32 +08:00
.gitignore change escheduler to dolphinscheduler (#961) 2019-10-08 18:30:40 +08:00
CONTRIBUTING.md Update CONTRIBUTING.md 2019-07-29 19:21:44 +08:00
install.sh install.sh add mail.user (#1013) 2019-10-14 14:06:47 +08:00
LICENSE Initial commit 2019-03-02 00:39:25 +08:00
NOTICE Initial install config,script and sql commit 2019-03-29 14:37:07 +08:00
package.xml rename project and doc 2019-09-29 15:14:10 +08:00
pom.xml Optimize ci (#1085) 2019-10-24 10:45:33 +08:00
README_zh_CN.md update documents (#740) 2019-08-27 15:29:29 +08:00
README.md Highlight the mail list as high priority contact channel. (#855) 2019-09-23 10:24:26 +08:00

Easy Scheduler

License Total Lines

Easy Scheduler for Big Data

Stargazers over time

EN doc CN doc

Design features:

A distributed and easy-to-expand visual DAG workflow scheduling system. Dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing. Its main objectives are as follows:

  • Associate the Tasks according to the dependencies of the tasks in a DAG graph, which can visualize the running state of task in real time.
  • Support for many task types: Shell, MR, Spark, SQL (mysql, postgresql, hive, sparksql), Python, Sub_Process, Procedure, etc.
  • Support process scheduling, dependency scheduling, manual scheduling, manual pause/stop/recovery, support for failed retry/alarm, recovery from specified nodes, Kill task, etc.
  • Support process priority, task priority and task failover and task timeout alarm/failure
  • Support process global parameters and node custom parameter settings
  • Support online upload/download of resource files, management, etc. Support online file creation and editing
  • Support task log online viewing and scrolling, online download log, etc.
  • Implement cluster HA, decentralize Master cluster and Worker cluster through Zookeeper
  • Support online viewing of Master/Worker cpu load, memory
  • Support process running history tree/gantt chart display, support task status statistics, process status statistics
  • Support backfilling data
  • Support multi-tenant
  • Support internationalization
  • There are more waiting partners to explore

What's in Easy Scheduler

Stability Easy to use Features Scalability
Decentralized multi-master and multi-worker Visualization process defines key information such as task status, task type, retry times, task running machine, visual variables and so on at a glance.   Support pause, recover operation support custom task types
HA is supported by itself All process definition operations are visualized, dragging tasks to draw DAGs, configuring data sources and resources. At the same time, for third-party systems, the api mode operation is provided. Users on easyscheduler can achieve many-to-one or one-to-one mapping relationship through tenants and Hadoop users, which is very important for scheduling large data jobs. " The scheduler uses distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. Master and Worker support dynamic online and offline.
Overload processing: Task queue mechanism, the number of schedulable tasks on a single machine can be flexibly configured, when too many tasks will be cached in the task queue, will not cause machine jam. One-click deployment Supports traditional shell tasks, and also support big data platform task scheduling: MR, Spark, SQL (mysql, postgresql, hive, sparksql), Python, Procedure, Sub_Process

System partial screenshot

image

image

image

Document

More documentation please refer to [EasyScheduler online documentation]

Recent R&D plan

Work plan of Easy Scheduler: R&D plan, where In Develop card is the features of 1.1.0 version , TODO card is to be done (including feature ideas)

How to contribute code

Welcome to participate in contributing code, please refer to the process of submitting the code: [How to contribute code]

Thanks

Easy Scheduler uses a lot of excellent open source projects, such as google guava, guice, grpc, netty, ali bonecp, quartz, and many open source projects of apache, etc. It is because of the shoulders of these open source projects that the birth of the Easy Scheduler is possible. We are very grateful for all the open source software used! We also hope that we will not only be the beneficiaries of open source, but also be open source contributors, so we decided to contribute to easy scheduling and promised long-term updates. We also hope that partners who have the same passion and conviction for open source will join in and contribute to open source!

Get Help

  1. Submit an issue
  2. Mail list: dev@dolphinscheduler.apache.org. Mail to dev-subscribe@dolphinscheduler.apache.org, follow the reply to subscribe the mail list.
  3. Contact WeChat group manager, ID 510570367. This is for Mandarin(CN) discussion.

License

Please refer to LICENSE file.