apache / apache/iceberg-python

Option to specify SSE-KMS or SSE-S3 encryption when writing data with load_catalog / append

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描述

### Question

Hello team,

I am using pyiceberg to load data into an Iceberg table stored in Amazon S3.
While doing this, I am facing an explicit deny from an AWS Service Control Policy (SCP) that blocks multipart uploads without encryption. I cannot modify the SCP.

Error excerpt:
`
OSError: When initiating multiple part upload for key 'iceberg/DEV/dataset/test_4_matdoc/metadata/...'
in bucket 'pt-s3-project-bucketname':
AWS Error ACCESS_DENIED during CreateMultipartUpload operation:
User: arn:aws:sts::... is not authorized to perform: s3:PutObject
with an explicit deny in a service control policy
`
This happens during calls like:

`def load_iceberg_table(table, arrow_table):
catalog = load_catalog("glue", **{"type": "glue"})
iceberg_table: Table = catalog.load_table(f"{DATABASE}.{table}")
try:
logger.info("Appending data to Iceberg table...")
iceberg_table.append(df=arrow_table)
logger.info("Successfully appended data to Iceberg table.")
except ClientError as e:
logger.error(f"Iceberg append ClientError: {e}")
raise
except Exception as e:
logger.error(f"Unexpected Iceberg error: {e}")
raise`

From my understanding, pyiceberg uses S3 multipart upload under the hood, but I haven’t found a documented way to configure SSE-KMS or SSE-S3 parameters for these writes.

Question:
Is there currently a way to pass S3 upload parameters (like ServerSideEncryption, SSEKMSKeyId) via load_catalog, append, or FileIO configuration?
If not, could this be added as a feature so that environments with encryption-required SCPs can still use pyiceberg without policy changes?

Thanks!

贡献指南

这个仓库没有索引到贡献指南

调研方向

首先跟踪 load_catalog 和 append 如何到达 FileIO S3 multipart 上传路径,并使用报告的 ACCESS_DENIED 案例作为复现。检查是否可以通过 catalog、append 或 FileIO 配置公开加密参数。完成的标准是:可以为写入配置所请求的 SSE-S3 或 SSE-KMS 设置,并且已验证加密上传路径。

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aws, python
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