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https://issues.apache.org/jira/browse/HUDI-2346?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17405306#comment-17405306
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ASF GitHub Bot commented on HUDI-2346:
--------------------------------------

codope commented on a change in pull request #3525:
URL: https://github.com/apache/hudi/pull/3525#discussion_r696744033



##########
File path: website/blog/2021-08-23-async-clustering.md
##########
@@ -0,0 +1,153 @@
+---
+title: "Asynchronous Clustering using Hudi"
+excerpt: "How to setup Hudi for asynchronous clustering"
+author: codope 
+category: blog
+---
+
+In one of the [previous 
blog](https://hudi.apache.org/blog/2021/01/27/hudi-clustering-intro) posts, we 
introduced a new
+kind of table service called clustering to reorganize data for improved query 
performance without compromising on
+ingestion speed. We learnt how to setup inline clustering. In this post, we 
will discuss what has changed since then and
+see how asynchronous clustering can be setup using HoodieClusteringJob as well 
as DeltaStreamer utility.
+
+## Introduction
+
+On a high level, clustering creates a plan based on a configurable strategy, 
groups eligible files based on specific
+criteria and then executes the plan. Hudi's [MVCC 
model](https://hudi.apache.org/docs/concurrency_control) provides
+snapshot isolation between multiple table services, which allows writers to 
continue with ingestion while clustering
+runs in the background. For a more detailed overview of the clustering 
architecture please check out the previous blog
+post.
+
+## Clustering Strategies
+
+As mentioned before, clustering plan as well as execution depends on 
configurable strategy. These strategies can be
+broadly classified into three types: clustering plan strategy, execution 
strategy and update strategy.
+
+### Plan Strategy
+
+This strategy comes into play while creating clustering plan. It helps to 
decide what file groups should be clustered.
+Let's look at different plan strategies that are available with Hudi. Note 
that these strategies are easily pluggable
+using this 
[config](https://hudi.apache.org/docs/next/configurations#hoodieclusteringplanstrategyclass).
+
+1. `SparkSizeBasedClusteringPlanStrategy`: It selects file slices based on
+   the [small file 
limit](https://hudi.apache.org/docs/next/configurations/#hoodieclusteringplanstrategysmallfilelimit)
+   of base files and creates clustering groups upto max file size allowed per 
group. The max size can be specified using

Review comment:
       Good suggestion. Added a couple of lines.




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> Publish blog on async clustering usage
> --------------------------------------
>
>                 Key: HUDI-2346
>                 URL: https://issues.apache.org/jira/browse/HUDI-2346
>             Project: Apache Hudi
>          Issue Type: Sub-task
>            Reporter: Sagar Sumit
>            Assignee: Sagar Sumit
>            Priority: Major
>              Labels: pull-request-available
>




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