vtlim commented on a change in pull request #12128:
URL: https://github.com/apache/druid/pull/12128#discussion_r783403668



##########
File path: docs/operations/query-concurrency.md
##########
@@ -0,0 +1,174 @@
+---
+id: query-concurrency
+title: Query concurrency
+sidebar_label: Query concurrency
+---
+
+<!--
+  ~ Licensed to the Apache Software Foundation (ASF) under one
+  ~ or more contributor license agreements.  See the NOTICE file
+  ~ distributed with this work for additional information
+  ~ regarding copyright ownership.  The ASF licenses this file
+  ~ to you under the Apache License, Version 2.0 (the
+  ~ "License"); you may not use this file except in compliance
+  ~ with the License.  You may obtain a copy of the License at
+  ~
+  ~   http://www.apache.org/licenses/LICENSE-2.0
+  ~
+  ~ Unless required by applicable law or agreed to in writing,
+  ~ software distributed under the License is distributed on an
+  ~ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  ~ KIND, either express or implied.  See the License for the
+  ~ specific language governing permissions and limitations
+  ~ under the License.
+  -->
+
+If you frequently run concurrent, mixed workloads on your Druid cluster, 
configure Druid to properly allocate cluster resources and optimize your 
overall query performance. With proper resource isolation, you can execute 
long-running, low priority queries that are resource intensive without 
interfering with short-running, high priority queries that require fewer 
resources. By separating cluster resources, you prevent queries from competing 
with each other for resources such as CPU, memory, and network access.
+
+There are two approaches to isolate your resources for improving query 
concurrency: query laning and cluster tiering. Use query laning to set a limit 
on the maximum number of long-running queries executed on each Broker. Use 
cluster tiering to define separate groups of Historicals and Brokers to which 
different queries can be directed based on their priority.
+
+## Query laning
+
+Query laning directs Druid to restrict resource usage for less urgent queries 
to ensure dedicated resources for higher priority queries. Query laning is 
ideal when you need to run many concurrent queries having heterogeneous 
workloads.

Review comment:
       Synced up with Jihoon and we'll leave query laning first. I added a new 
paragraph to describe the distinction on when to use which approach.




-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]



---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to