kazuyukitanimura commented on code in PR #7026:
URL: https://github.com/apache/datafusion-comet/pull/7026#discussion_r4339685037


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docs/source/user-guide/latest/datasources.md:
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@@ -424,7 +424,28 @@ Comet's S3 support has the following limitations:
 
 2. **Custom credential providers**: Custom credential provider classes named 
in `fs.s3a.aws.credentials.provider` are not supported; only the standard 
providers listed in the table above are. To route credential requests through 
your own Java code, implement Comet's `CometS3CredentialProvider` SPI; see [S3 
Credential Providers](s3-credential-providers.md). Broader Hadoop S3A 
integration is tracked in 
[#1829](https://github.com/apache/datafusion-comet/issues/1829).
 
-3. **Settings that Hadoop's S3A client resolves differently**: The native 
scans resolve storage settings with their own client rather than with Hadoop's. 
Where the two disagree, a native read can use a different identity or route 
than Spark and fail where Spark succeeds. Examples are JCEKS-backed secrets and 
the precedence of per-bucket settings, which the native Parquet scan forwards 
without checking for a difference 
([#5662](https://github.com/apache/datafusion-comet/issues/5662)).
+3. **S3 settings that Hadoop and Comet resolve differently**: Comet does not 
run Hadoop's `S3AFileSystem`, so some
+   settings take effect differently in the native client than they do for 
Spark's reader. To keep a scan from
+   silently reading under a different identity or endpoint than Spark would, 
Comet declines the scan, and Spark

Review Comment:
   Limitations item 3 now names the native Parquet, CSV and Delta scans and 
notes the libhdfs and SPI exemptions. It also says the Iceberg scan, native 
writes and S3-compliant aliases are still unchecked, with a link back to #5662.



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