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* 1, master persistent task 2. extract master and worker communication model * 1, master persistent task 2. extract master and worker communication model * 1, master persistent task 2. extract master and worker communication model * add license * modify javadoc error * TaskExecutionContext create modify * buildAckCommand taskInstanceId not set modify * java doc error modify * add comment * ExecutorManager interface add generic type * add TaskInstanceCacheManager receive Worker report result * TaskInstance setExecutePath * add TaskInstanceCacheManager to receive Worker Task result report * TaskInstanceCacheManager add remove method * add license * add dispatcht task method * AbstractCommandExecutor remove db access * AbstractCommandExecutor remove db access * AbstractCommandExecutor remove db access * AbstractCommandExecutor remove db access * AbstractCommandExecutor remove db access * AbstractCommandExecutor remove db access * AbstractCommandExecutor remove db access * taskInstanceCache is null ,need load from db * taskInstanceCache is null ,need load from db * taskInstanceCache is null ,need load from db * 1，worker TaskPros use TaskExecutionContext replase 2，Master kill Task , KillTaskProcessor modify * worker remove db * ShellTask modify * master persistence processId and appIds * master persistence processId and appIds * master add kill task logic * master add kill task logic * master add kill task logic * javadoc error modify * remove chinese log * executeDirectly method add Override * remote module modify * TaskKillResponseProcessor command type modify * create buildKillCommand * host add host:port format * host add host:port format * TaskAckProcessor modify * TaskAckProcessor modify * task prioriry refator * remove ITaskQueue * task prioriry refator * remove ITaskQueue * TaskPriority refactor * remove logs * WorkerServer refactor * MasterSchedulerService modify * WorkerConfig listen port modify * modify master and worker listen port * cancelTaskInstance set TaskExecutionContext host,logPath,executePath * cancelTaskInstance set TaskExecutionContext host,logPath,executePath * Encapsulate the parameters required by sqltask * 1，Encapsulate the parameters required by sqltask 2，SQLTask optimization * AbstractTask modify * ProcedureTask optimization * MasterSchedulerService modify * TaskUpdateQueueConsumer modify * test * DataxTask process run debug * DataxTask process run debug * add protobuf dependency，MR、Spark task etc need this * TaskUpdateQueueConsumer modify * TaskExecutionContextBuilder set TaskInstance workgroup * WorkerGroupService queryAllGroup modify query available work group * 1，get workergroup from zk modify 2，SpringConnectionFactory repeat load modify * master and worker register ip use OSUtils.getHost() * ProcessInstance host set ip:port format Co-authored-by: qiaozhanwei <qiaozhanwei@analysys.com.cn> |
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Dolphin Scheduler Official Website dolphinscheduler.apache.org
Dolphin Scheduler for Big Data
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/Workercpu 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 Dolphin 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 DolphinScheduler 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
Document
More documentation please refer to [DolphinScheduler online documentation]
Recent R&D plan
Work plan of Dolphin Scheduler: R&D plan, Under the In Develop card is what is currently being developed, TODO card is to be done (including feature ideas)
How to contribute
Welcome to participate in contributing, please refer to the process of submitting the code: [How to contribute]
How to Build
mvn clean install -Prelease
Artifact:
dolphinscheduler-dist/dolphinscheduler-backend/target/apache-dolphinscheduler-incubating-${latest.release.version}-dolphinscheduler-backend-bin.tar.gz: Binary package of DolphinScheduler-Backend
dolphinscheduler-dist/dolphinscheduler-front/target/apache-dolphinscheduler-incubating-${latest.release.version}-dolphinscheduler-front-bin.tar.gz: Binary package of DolphinScheduler-UI
dolphinscheduler-dist/dolphinscheduler-src/target/apache-dolphinscheduler-incubating-${latest.release.version}-src.zip: Source code package of DolphinScheduler
Thanks
Dolphin 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 Dolphin 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. 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
- Submit an issue
- Subscribe the mail list : https://dolphinscheduler.apache.org/en-us/docs/development/subscribe.html. then send mail to dev@dolphinscheduler.apache.org
- Contact WeChat group manager, ID 510570367. This is for Mandarin(CN) discussion.
License
Please refer to LICENSE file.