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Subject [GitHub] [incubator-hudi] vinothchandar commented on a change in pull request #1267: [HUDI-403] Publish deployment guide for writing to Hudi using HoodieDeltaStreamer and Spark Data Source
Date Wed, 22 Jan 2020 16:02:34 GMT
vinothchandar commented on a change in pull request #1267: [HUDI-403] Publish deployment guide
for writing to Hudi using HoodieDeltaStreamer and Spark Data Source
URL: https://github.com/apache/incubator-hudi/pull/1267#discussion_r369646639
 
 

 ##########
 File path: docs/_docs/2_6_deployment.md
 ##########
 @@ -23,15 +23,25 @@ All in all, Hudi deploys with no long running servers or additional infrastructu
 using existing infrastructure and its heartening to see other systems adopting similar approaches
as well. Hudi writing is done via Spark jobs (DeltaStreamer or custom Spark datasource jobs),
deployed per standard Apache Spark [recommendations](https://spark.apache.org/docs/latest/cluster-overview.html).
 Querying Hudi tables happens via libraries installed into Apache Hive, Apache Spark or Presto
and hence no additional infrastructure is necessary. 
 
+### DeltaStreamer
 
 Review comment:
   can you add a sentence above, first introducing the two aspects : sync vs async compaction,
continuous-vs-non continuous writing, so it flows well ? 

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