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dr-elephant

> 编程语言
Open source

Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark

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About

Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark

Dr. Elephant

Dr. Elephant is a performance monitoring and tuning tool for Hadoop and Spark. It automatically gathers all the metrics, runs analysis on them, and presents them in a simple way for easy consumption. Its goal is to improve developer productivity and increase cluster efficiency by making it easier to tune the jobs. It analyzes the Hadoop and Spark jobs using a set of pluggable, configurable, rule-based heuristics that provide insights on how a job performed, and then uses the results to make suggestions about how to tune the job to make it perform more efficiently.

Documentation

For more information on Dr. Elephant, check the wiki pages here.

For quick setup instructions: Click here

Developer guide: Click here

Administrator guide: Click here

User guide: Click here

Engineering Blog: Click here

Mailing-list & Github Issues

Google groups mailing list: Click here (Reached upper limit! please create github issues)

Github issues: click here

Meetings

We have scheduled a weekly Dr. Elephant meeting for the interested developers and users to discuss future plans for Dr. Elephant. Please click here for details.

How to Contribute?

Check this link.

License

Copyright 2016 LinkedIn Corp.

Licensed under the Apache License, Version 2.0 (the "License"); you may not
use this file except in compliance with the License. You may obtain a copy of
the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
License for the specific language governing permissions and limitations under
the License.

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Java

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> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

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