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[Java] Simplify Java worker configuration (#2938)
## What do these changes do? Previously, Java worker configuration is complicated, because it requires setting environment variables as well as command-line arguments. This PR aims to simplify Java worker's configuration. 1) Configuration management is now migrated to [lightbend config](https://github.com/lightbend/config), thus doesn't require setting environment variables. 2) Many unused config items are removed. 3) Provide a simple `example.conf` file, so users can get started quickly. 4) All possible options and their default values are declared and documented in `ray.default.conf` file. This PR also simplifies and refines the following code: 1) The process of `Ray.init()`. 2) `RunManager`. 3) `WorkerContext`. ### How to use this configuration? 1. Copy `example.conf` into your classpath and rename it to `ray.conf`. 2. Modify/add your configuration items. The all items are declared in `ray.default.conf`. 3. You can also set the items in java system prosperities. Note: configuration is read in this priority: System properties > `ray.conf` > `ray.default.conf` ## Related issue number N/A
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# This is an example ray config file.
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# To use this file, copy it to your classpath and rename it to 'ray.conf'.
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# For all available config items and default values,
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# see 'java/runtime/src/main/resources/ray.default.conf'.
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# For config file format, see 'https://github.com/lightbend/config/blob/master/HOCON.md'.
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ray {
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// This is the path to the directory where Ray is installed, e.g.,
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// something like /home/ubmutu/ray. This can be an absolute path or
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// a relative path from the current working directory.
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home = "/path/to/your/ray/home"
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// Run mode, available options are:
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//
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// `SINGLE_PROCESS`: Ray is running in one single Java process, without Raylet backend,
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// object store, and GCS. It's useful for debug.
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// `CLUSTER`: Ray is running on one or more nodes, with multiple processes.
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run-mode = CLUSTER
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// Available resources on this node.
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resources: "CPU:4,GPU:0"
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// The address of the redis server to connect, in format `ip:port`.
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// If not provided, Ray processes will be started locally, including
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// Redis server, Raylet and object store.
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redis.address = ""
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}
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