From 656561153c3ac5bb0de68a6e39de9982661b7119 Mon Sep 17 00:00:00 2001
From: SONG Ge <38711238+sgwhat@users.noreply.github.com>
Date: Wed, 16 Feb 2022 16:47:12 +0800
Subject: [PATCH] Update Orca Context Readme (#4049)

* update orca context readme
---
 docs/readthedocs/source/doc/Orca/Overview/orca-context.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/docs/readthedocs/source/doc/Orca/Overview/orca-context.md b/docs/readthedocs/source/doc/Orca/Overview/orca-context.md
index 597746b8..9382286a 100644
--- a/docs/readthedocs/source/doc/Orca/Overview/orca-context.md
+++ b/docs/readthedocs/source/doc/Orca/Overview/orca-context.md
@@ -18,6 +18,9 @@ init_orca_context(...)
 In `init_orca_context`, the user may specify necessary runtime configurations for the Orca program, including:
 
 - *Cluster mode*: Users can specify the computing environment for the program (a local machine, K8s cluster, Hadoop/YARN cluster, etc.).
+- *Runtime*: Users can specify the backend for the program (spark and
+ray, etc.) to create SparkContext and/or RayContext, the cluster mode
+would work based on the specified runtime backend.
 - *Physical resources*: Users can specify the amount of physical resources to be allocated for the program on the underlying cluster, including the number of nodes in the cluster, the cores and memory allocated for each node, etc.
 
 The Orca program simply runs `init_orca_context` on the local machine, which will automatically provision the runtime Python environment and distributed execution engine on the underlying computing environment (such as a single laptop, a large K8s or Hadoop cluster, etc.).