ghrahul opened a new issue, #9129:
URL: https://github.com/apache/hudi/issues/9129
We are using HUDI to write our parquet files to S3 and it is getting exposed
as lake formation tables. All our processing is happening on a spark on k8s
cluster.
For few optimization we have used this spark conf:
`spark.conf.set("spark.sql.parquet.enableVectorizedReader", "false")`
But we have noticed that HUDI is internally modifying this config even if we
set it manually to our pyspark script.
Please help us resolving this issue.
Thanks
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