xx789633 commented on code in PR #1640:
URL: https://github.com/apache/fluss/pull/1640#discussion_r2335405799


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website/docs/streaming-lakehouse/integrate-data-lakes/iceberg.md:
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+---
+title: Iceberg
+sidebar_position: 2
+---
+
+# Iceberg
+
+## Introduction
+
+[Apache Iceberg](https://iceberg.apache.org/) is an open table format for huge 
analytic datasets. It provides ACID transactions, schema evolution, and 
efficient data organization for data lakes.
+To integrate Fluss with Iceberg, you must enable lakehouse storage and 
configure Iceberg as the lakehouse storage. For more details, see [Enable 
Lakehouse 
Storage](maintenance/tiered-storage/lakehouse-storage.md#enable-lakehouse-storage).
+
+> **NOTE**: Iceberg requires JDK11 or later. Please ensure that both your 
Fluss deployment and the Flink cluster used for tiering services are running on 
JDK11+.
+
+
+## Configure Iceberg as LakeHouse Storage
+
+### Configure Iceberg in Cluster Configurations
+
+To configure Iceberg as the lakehouse storage, you must configure the 
following configurations in `server.yaml`:
+```yaml
+# Iceberg configuration
+datalake.format: iceberg
+
+# the catalog config about Iceberg, assuming using Hadoop catalog,
+datalake.iceberg.type: hadoop
+datalake.iceberg.warehouse: /tmp/iceberg
+```
+
+Fluss processes Iceberg configurations by stripping the `datalake.iceberg.` 
prefix and uses the stripped configurations (without the prefix 
`datalake.iceberg.`) to initialize the Iceberg catalog.
+This approach enables passing custom configurations for iceberg catalog 
initiation. Checkout the [Iceberg Catalog 
Properties](https://iceberg.apache.org/docs/1.9.1/configuration/#catalog-properties)
 for more details on the available configurations of catalog.
+
+Fluss supports all Iceberg catalog types that are compatible with Iceberg 
itself.

Review Comment:
   Fluss supports all Iceberg-compatible catalog types.



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