MonkeyCanCode commented on issue #11843:
URL: https://github.com/apache/iceberg/issues/11843#issuecomment-2568787480

   @rohitanil as commented by @stym06 , you are missing couple things and one 
of them is aws jar. If u want to load hadoop-aws jars, you will need to load 
couple additional dependencies jars as well. Alternative, you can use 
iceberg-aws-bundle jar instead. This is documented in 
https://iceberg.apache.org/docs/1.7.1/aws/#spark
   
   Other than this, you will need couple additional properties so Spark will 
know how to talk to S3, such as following:
   ```
   spark.hadoop.fs.s3.impl org.apache.hadoop.fs.s3a.S3AFileSystem
   spark.hadoop.fs.s3a.impl org.apache.hadoop.fs.s3a.S3AFileSystem
   # If u are planning to pass in key and secret
   spark.hadoop.fs.s3a.access.key=ACCESSKEY
   spark.hadoop.fs.s3a.secret.key=SECRETKEY
   ## if u are planning to use assume role, then set the next one and remove 
key/secret above
   ## spark.hadoop.fs.s3a.aws.credentials.provider 
org.apache.hadoop.fs.s3a.TemporaryAWSCredentialsProvider
   ``` 
   


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