ray.job_config.JobConfig#

class ray.job_config.JobConfig(jvm_options: List[str] | None = None, code_search_path: List[str] | None = None, runtime_env: dict | None = None, _client_job: bool = False, metadata: dict | None = None, ray_namespace: str | None = None, default_actor_lifetime: str = 'non_detached', _py_driver_sys_path: List[str] | None = None)[source]#

A class used to store the configurations of a job.

Examples

import ray
from ray.job_config import JobConfig

ray.init(job_config=JobConfig(default_actor_lifetime="non_detached"))

Parameters:

jvm_options – The jvm options for java workers of the job.
code_search_path – A list of directories or jar files that specify the search path for user code. This will be used as CLASSPATH in Java and PYTHONPATH in Python. See Ray cross-language programming for more details.
runtime_env – A runtime environment dictionary.
metadata – An opaque metadata dictionary.
ray_namespace – A namespace is a logical grouping of jobs and named actors.
default_actor_lifetime – The default value of actor lifetime, can be “detached” or “non_detached”. See actor lifetimes for more details.

Methods

`from_json`	Generates a JobConfig object from json.
`set_default_actor_lifetime`	Set the default actor lifetime, which can be "detached" or "non_detached".
`set_metadata`	Add key-value pair to the metadata dictionary.
`set_py_logging_config`	Set the logging configuration for the job.
`set_ray_namespace`	Set Ray namespace.
`set_runtime_env`	Modify the runtime_env of the JobConfig.

Attributes

`jvm_options`	The jvm options for java workers of the job.
`code_search_path`	A list of directories or jar files that specify the search path for user code.
`metadata`	An opaque metadata dictionary.
`ray_namespace`	A namespace is a logical grouping of jobs and named actors.