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I read your article about CDC and metorikku, great article.
I have a case that I have 200 tables that arrives in parquet format in my datalake, metorikku could process more than one table in the same spark context in any paralalel way? For example with threads.
thank you
The text was updated successfully, but these errors were encountered:
Hi! thanks for opening the issue.
I started dabbling with this here: #310
But encountered some issues with the avro deserialization lib we're using...
Maybe I'll take another go at this soon.
Just FYI we started moving away from hudi for CDC recently as it became too expensive and complex and started using https://www.upsolver.com/ and we couldn't be happier :)
Hello 👍
I read your article about CDC and metorikku, great article.
I have a case that I have 200 tables that arrives in parquet format in my datalake, metorikku could process more than one table in the same spark context in any paralalel way? For example with threads.
thank you
The text was updated successfully, but these errors were encountered: