Taier

A distributed dispatching system

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Taier , spelling in chinese is 太阿, is one of the ancient chinese celebrated swords.

Taier is distributed dispatching system that focus on different tasks submitted and scheduled. It's aimed at reducing the ETL's cost, making the complex dependencies between tasks clearly and reducing the labor cost about submitting, scheduling and O&M.

It's unnecessary to concern about the complex dependencies between tasks and the underlying architecture about the big data platform at Taier, so that you can pay more attention into business.

Taier provide an one-stop big data platform for submitting tasks, scheduling tasks, O&M, presentation about indicators.

The core features for Taier are as follows:

• Easy to distributed extend
• Visualization config for DAG
• With an IDE development platform designed for big-data users
• Supports to develop your own plugins
• Multiply task modes including guide mode and script mode
• Supports to the dependencies between upstream/downstream tasks
• Supports batch and stream tasks
• Integrates various different versions of Hadoop
• Easy to integrate Flink Standalone
• Completely safe and non-intrusive to the cluster's environment
• Isolation by tenants and clusters
• Supports kerberos authentication
• Different versions for tasks
• Supports user-defined parameters for task
• Real-time monitoring about cluster's resources
• Real-time presented about data indicators
• Restrict the task's resource

$ wget https://raw.githubusercontent.com/DTStack/Taier/master/docker-compose.yml
$ docker-compose up -d

FAQ Reference For questions, bugs and supports please open an issue, we'll reply you in time.

• Slack https://join.slack.com/t/slack-p437975/shared_invite/zt-1iw5x1fw7-A6rVolqjP2z8V09~WwFUiA

Please make sure to read the Contributing Guide before making a pull request.

Taier is under the Apache 2.0 license. See the LICENSE file for details.