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The following commit(s) were added to refs/heads/dev by this push:
new cf41fb7 readme file fixed (#4374)
cf41fb7 is described below
commit cf41fb77742af589a06acf3ed27550f85db6128d
Author: ptyp <[email protected]>
AuthorDate: Thu Jan 7 22:41:06 2021 +0800
readme file fixed (#4374)
* readme fix
* readme fix
* readme fix
* readme fix
* readme fix
Co-authored-by: TinaPang <[email protected]>
---
README.md | 52 +++++++++++++++++++++++++---------------------------
README_zh_CN.md | 5 -----
2 files changed, 25 insertions(+), 32 deletions(-)
diff --git a/README.md b/README.md
index 97e1a95..ede405b 100644
--- a/README.md
+++ b/README.md
@@ -17,32 +17,33 @@ Dolphin Scheduler Official Website
### Design features:
-A distributed and easy-to-extend 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.
+Dolphin Scheduler is a distributed and easy-to-extend visual DAG workflow
scheduling system. It dedicates to solving the complex dependencies in data
processing to make the scheduling system `out of the box` for the data
processing process.
+
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.
+ - Associate the tasks according to the dependencies of the tasks in a DAG
graph, which can visualize the running state of the task in real-time.
+ - Support many task types: Shell, MR, Spark, SQL (MySQL, PostgreSQL, hive,
spark SQL), 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 the priority of process & task, task failover, and task timeout
alarm or 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
+ - Implement cluster HA, decentralize Master cluster and Worker cluster
through Zookeeper.
+ - Support the viewing of Master/Worker CPU load, memory, and CPU usage
metrics.
+ - Support presenting tree or Gantt chart of workflow history as well as the
statistics results of task & process status in each workflow.
+ - Support backfilling data.
+ - Support multi-tenant.
+ - Support internationalization.
+ - There are more waiting for 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 [...]
-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 | |
+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 Dolphin Scheduler 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 [...]
+Overload processing: Overload processing: By using the task queue mechanism,
the number of schedulable tasks on a single machine can be flexibly configured.
Machine jam can be avoided with high tolerance to numbers of tasks cached in
task queue. | One-click deployment | Support traditional shell tasks, and big
data platform task scheduling: MR, Spark, SQL (MySQL, PostgreSQL, hive, spark
SQL), Python, Procedure, Sub_Process | |
### System partial screenshot
@@ -55,17 +56,14 @@ Overload processing: Task queue mechanism, the number of
schedulable tasks on a
-### Online Demo
-- <a href="http://106.75.43.194:8888"; target="_blank">Online Demo</a>
### Recent R&D plan
-Work plan of Dolphin Scheduler: [R&D
plan](https://github.com/apache/incubator-dolphinscheduler/projects/1), Under
the `In Develop` card is what is currently being developed, TODO card is to be
done (including feature ideas)
+The work plan of Dolphin Scheduler: [R&D
plan](https://github.com/apache/incubator-dolphinscheduler/projects/1), which
`In Develop` card shows the features that are currently being developed and
TODO card lists what needs 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](https://dolphinscheduler.apache.org/en-us/docs/development/contribute.html)]
+Welcome to participate in contributing, please refer to this website to find
out more: [[How to
contribute](https://dolphinscheduler.apache.org/en-us/docs/development/contribute.html)]
### How to Build
@@ -82,15 +80,15 @@
dolphinscheduler-dist/target/apache-dolphinscheduler-incubating-${latest.release
### 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!
+Dolphin Scheduler is based on a lot of excellent open-source projects, such as
google guava, guice, grpc, netty, ali bonecp, quartz, and many open-source
projects of Apache and so on.
+We would like to express our deep gratitude to all the open-source projects
which contribute to making the dream of Dolphin Scheduler comes true. We hope
that we are not only the beneficiaries of open-source, but also give back to
the community. Besides, we expect the partners who have the same passion and
conviction to open-source will join in and contribute to the open-source
community!
+
### Get Help
1. Submit an issue
-1. Subscribe the mail list :
https://dolphinscheduler.apache.org/en-us/docs/development/subscribe.html.
then send mail to [email protected]
-1. Slack channel: [](https://join.slack.com/share/zt-do3gvfhj-UUhrAX2GxkVX_~JJt1jpKA)
-1. Contact WeChat(dailidong66). This is just for Mandarin(CN) discussion.
+1. Subscribe to the mail list:
https://dolphinscheduler.apache.org/en-us/docs/development/subscribe.html, then
email [email protected]
+
### License
-Please refer to
[LICENSE](https://github.com/apache/incubator-dolphinscheduler/blob/dev/LICENSE)
file.
+Please refer to the
[LICENSE](https://github.com/apache/incubator-dolphinscheduler/blob/dev/LICENSE)
file.
diff --git a/README_zh_CN.md b/README_zh_CN.md
index a02a2c3..4f2a8f0 100644
--- a/README_zh_CN.md
+++ b/README_zh_CN.md
@@ -50,10 +50,6 @@ Dolphin Scheduler Official Website
-### 我要体验
-
-- <a href="http://106.75.43.194:8888"; target="_blank">我要体验</a>
-
### 近期研发计划
@@ -86,7 +82,6 @@ Dolphin Scheduler使用了很多优秀的开源项目，比如google的guava、g
### 获得帮助
1. 提交issue
1.
先订阅邮件开发列表:[订阅邮件列表](https://dolphinscheduler.apache.org/zh-cn/docs/development/subscribe.html),
订阅成功后发送邮件到[email protected].
-1. 联系微信群助手(ID:dailidong66). 微信仅用于中国用户讨论.
### 版权
请参考
[LICENSE](https://github.com/apache/incubator-dolphinscheduler/blob/dev/LICENSE)
文件.
