[GitHub] [hudi] getniz commented on issue #2101: [SUPPORT]Unable to interpret Child JSON fields value as a separate columns rather it is loaded as one single field value. Any way to interpret that.

[GitBox <gi...@apache.org>]

getniz commented on issue #2101:
URL: https://github.com/apache/hudi/issues/2101#issuecomment-698761326


   @n3nash thanks for the response with details, 1 & 3 option I may not be able to consider as I need to build this layer as immediate target tables for further consumption in Reporting layer. If I use option 2, can I able to consume the topic and flatten the schema in deltastreamer with-out staging and then load directly to the immediate target layer using above Spark submit batch command.  Also, I came to know that Hudi supports Confluent schema registry, in that case if I get the JSON schema from Source and register with Confluent registry can I achieve in flattening the file. Sorry, my questions may be silly sometimes please bear with me, I'm a learner here : )  Objective of what I'm trying to do is to consume Data from several topics in near real-time(all the topics data are formatted/structured) and push to DataLake using Hudi. If I stage and transform it, then I may end up eating time. 


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