ray/doc/source/namespaces.rst
Chris K. W a33cbec12a
[client][docs] update docs for new client support in init (#17333)
* start

* check formatting

* undo changes from base branch

* Client builder API docs

* indent

* 8

* minor fixes

* absolute path to runtime env docs

* fix runtime_env link

* Update worker.init docs

* drop clientbuilder docs, link to 1.4.1 docs instead. Specify local:// behavior when address passed

* add debug info for ray.init("local")

* local:// attaches a driver directly

* update ray.init return wording

* remote init.connect() from example

* drop local:// docs, add section on when to use ray client

* link to 1.4.1 docs in code example instead of mentioning clientbuilder

* fix backticks, doc mentions of ray.util.connect

* remove ray.util.connect mentions from examples and comments

* update tune example

* wording

* localhost:<port> also works if you're on the head node

* add quotes

* drop mentions of ray client from ray.init docstring

* local->remote

* fix section ref

* update ray start output

* fix section link

* try to fix doc again

* fix link wording

* drop local:// from docs and special handling from code

* update ray start message

* lint

* doc lint

* remove local:// codepath

* remove 'internal_config'

* Update doc/source/cluster/ray-client.rst

Co-authored-by: Ameer Haj Ali <ameerh@berkeley.edu>

* doc suggestion

* Update doc/source/cluster/ray-client.rst

Co-authored-by: Ameer Haj Ali <ameerh@berkeley.edu>
2021-08-04 05:31:44 +03:00

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.. _namespaces-guide:
Using Namespaces
================
A namespace is a logical grouping of jobs and named actors. When an actor is
named, its name must be unique within the namespace.
In order to set your applications namespace, it should be specified when you
first connect to the cluster.
.. code-block:: python
ray.init(namespace="hello")
# or using ray client
ray.init("ray://<head_node_host>:10001", namespace="world")
Named actors are only accessible within their namespaces.
.. code-block:: python
# `ray start --head` has been run to launch a local cluster
import ray
@ray.remote
class Actor:
pass
# Job 1 creates two actors, "orange" and "purple" in the "colors" namespace.
with ray.init("ray://localhost:10001", namespace="colors"):
Actor.options(name="orange", lifetime="detached")
Actor.options(name="purple", lifetime="detached")
# Job 2 is now connecting to a different namespace.
with ray.init("ray://localhost:10001", namespace="fruits")
# This fails because "orange" was defined in the "colors" namespace.
ray.get_actor("orange")
# This succceeds because the name "orange" is unused in this namespace.
Actor.options(name="orange", lifetime="detached")
Actor.options(name="watermelon", lifetime="detached")
# Job 3 connects to the original "colors" namespace
context = ray.init("ray://localhost:10001", namespace="colors")
# This fails because "watermelon" was in the fruits namespace.
ray.get_actor("watermelon")
# This returns the "orange" actor we created in the first job, not the second.
ray.get_actor("orange")
context.disconnect()
# We are manually managing the scope of the connection in this example.
Anonymous namespaces
--------------------
When a namespace is not specified, Ray will place your job in an anonymous
namespace. In an anonymous namespace, your job will have its own namespace and
will not have access to actors in other namespaces.
.. code-block:: python
# `ray start --head` has been run to launch a local cluster
import ray
@ray.remote
class Actor:
pass
# Job 1 connects to an anonymous namespace by default
ctx = ray.init("ray://localhost:10001")
Actor.options(name="my_actor", lifetime="detached")
ctx.disconnect()
# Job 2 connects to a _different_ anonymous namespace by default
ctx = ray.init("ray://localhost:10001")
# This succeeds because the second job is in its own namespace.
Actor.options(name="my_actor", lifetime="detached")
ctx.disconnect()
.. note::
Anonymous namespaces are implemented as UUID's. This makes it possible for
a future job to manually connect to an existing anonymous namespace, but
it is not recommended.
Getting the current namespace
-----------------------------
You can access to the current namespace using :ref:`runtime_context APIs <runtime-context-apis>`.
.. code-block:: python
import ray
ray.init(address="auto", namespace="colors")
# Will print the information about "colors" namespace
print(ray.get_runtime_context().namespace)