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Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2021/08/27 13:18:03 UTC

[GitHub] [hudi] vinothchandar commented on a change in pull request #3515: [HUDI-2341] Adding blog on immutable data lakes

vinothchandar commented on a change in pull request #3515:
URL: https://github.com/apache/hudi/pull/3515#discussion_r697433025



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File path: website/blog/2021-08-20-immutable-data-lakes.md
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@@ -0,0 +1,73 @@
+---
+title: "Immutable data lakes using Apache Hudi"
+excerpt: "How to leverage Apache Hudi for your immutable (or) append only data use-case"
+author: shivnarayan
+category: blog
+---
+
+Apache Hudi helps you build and manage data lakes with different table types, config knobs to cater to everyone's need.
+We strive to listen to community and build features based on the need. From our interactions with the community, we got 
+to know there are quite a few use-cases where Hudi is being used for immutable or append only data. This blog will go 
+over details on how to leverage Apache Hudi in building your data lake for such immutable or append only data.
+<!--truncate-->
+
+# Immutable data
+Often times, users route log entries to data lakes, where data is immutable. (Add some concrete 
+examples here). Data once ingested won't be updated and can only be deleted. Also, most likely, deletes are issued at 
+partition level (delete partitions older than 1 week) granularity.
+
+# Immutable data lakes using Apache Hudi 
+Hudi has an efficient way to ingest data into Hudi for such immutable use-cases. "Bulk_Insert" operation in Hudi is 
+commonly used for initial bootstrapping of data into hudi, but also exactly fits the bill for such immutable or append 
+only data. And it is known to be performant when compared to regular "insert"s or "upsert"s. 
+
+## Bulk_insert vs regular Inserts/Upserts
+With regular inserts and upserts, Hudi executes few steps before data can be written to data files. For example, 
+index lookup, small file handling, etc has to be performed before actual write. But with bulk_insert, such overhead can 
+be avoided since data is known to be immutable. 
+
+Here is an illustration of steps involved in different operations of interest. 
+
+![Inserts/Upserts](/assets/images/blog/immutable_datalakes/immutable_data_lakes1.jpeg)

Review comment:
       +1 lets stick to png 




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