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81 lines
5.0 KiB
81 lines
5.0 KiB
# Dynamic and observable thread pool framework
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[](http://www.apache.org/licenses/LICENSE-2.0)
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[](https://github.com/opengoofy.hippo4j)
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[](https://store.docker.com/community/images/hippo4j/hippo4j-server)
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[](https://codecov.io/gh/opengoofy/hippo4j)
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[](https://github.com/opengoofy/hippo4j/blob/develop/README-EN.md)
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| **Stargazers Over Time** | **Contributors Over Time** |
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|:---------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
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| [](https://api.star-history.com/svg?repos=opengoofy/hippo4j&type=Date) | [](https://www.apiseven.com/en/contributor-graph?chart=contributorOverTime&repo=opengoofy/hippo4j) |
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### Thread pool pain points
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---
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A thread pool is a tool for managing threads based on the idea of pooling.
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Using a thread pool reduces the overhead of creating and destroying threads and avoids running out of system resources due to too many threads.
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The use of thread pools is essential in highly concurrent and high-volume task processing scenarios.
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If you have actually used thread pools in your projects, I believe you may have encountered the following pain points:
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- Thread pools are defined randomly, with too many thread resources, causing high server load.
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- The thread pool parameters are not easily evaluated and the business is at risk of failure.
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- Thread pool task execution time exceeds the average execution cycle and developers are not informed.
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- Thread pool tasks pile up and affect business operations.
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- Wireless process pool monitoring when the service has timeouts, meltdowns, and other problems.
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- Thread pools do not support the passing of runtime variables, such as MDC contexts.
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- When a project is closed, a large number of running thread pool tasks are discarded.
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- Thread pool running, task execution stopped, don't know the problem.
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### What is Hippo4j
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---
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Hippo4j through the JDK thread pool enhancements, as well as extending the three-party framework underlying thread pools and other features for business systems to improve online operational security capabilities.
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The following functional support is provided:
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- Global Control - Managing Application Thread Pool Instances.
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- Dynamic changes - dynamically changing thread pool parameters at application runtime.
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- Notify alarms - Four built-in alarm notification policies.
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- Run Monitoring - Real-time view of thread pool runtime data.
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- Feature extensions - support for thread pooling task passing contexts, etc.
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- Multiple Modes - Two built-in usage modes: Configuration Center Mode and No Middleware Mode.
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- Container Management - Tomcat, Jetty, Undertow container thread pool runtime view and thread count changes.
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- Framework adaptation - Dubbo, Hystrix, Polaris, RabbitMQ, RocketMQ and other consumer thread pool runtime data view and thread count changes.
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### Quick Start
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---
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For local presentation purposes, see [Quick start](https://hippo4j.cn/docs/user_docs/user_guide/quick-start).
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Demo Environment: [http://console.hippo4j.cn/index.html](http://console.hippo4j.cn/index.html).
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### Who is using
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---
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More companies with access are welcome to register at [registration address](https://github.com/opengoofy/hippo4j/issues/13), registration is only for product promotion.
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### Contributors
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---
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Thanks to all the developers who contributed to the project. If interested in contributing, refer to [good first issue](https://github.com/opengoofy/hippo4j/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22).
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<a href="https://github.com/opengoofy/hippo4j/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=opengoofy/hippo4j" />
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</a>
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