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[Docs] Fluss/flink - Iceberg quickstart guide #1800

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luoyuxia merged 18 commits into from
Oct 16, 2025
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[Docs] Fluss/flink - Iceberg quickstart guide #1800

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60ca43c
quickstart guide for iceberg
Oct 11, 2025
a509ac5
iceberg guide
Oct 11, 2025
d93eaaf
add jars info for custom flink environment
Oct 11, 2025
3542d23
address yuxia comments
Oct 13, 2025
e493d2a
build website, instruct user for lib
Oct 13, 2025
b2e688f
correct build failure
Oct 13, 2025
82cbcb1
add slug for docosaurus to discover
Oct 13, 2025
8ee0994
remove trail
Oct 13, 2025
7ed3709
remove slug
Oct 13, 2025
56ba3d2
remove .md
Oct 13, 2025
c929354
changed relative to absolute links
Oct 13, 2025
734f505
add .md extension
Oct 13, 2025
64fe861
add id
Oct 13, 2025
9befbf3
remove id
Oct 13, 2025
ecf0b27
revert flink-paimon.md to flink.md
luoyuxia Oct 14, 2025
9e735b4
reduce steps for jar download
Oct 14, 2025
6021416
lake source support
Oct 15, 2025
8b761bc
address yuxia comments 2
Oct 15, 2025
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11 changes: 11 additions & 0 deletions fluss-dist/src/main/assemblies/plugins.xml
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Expand Up @@ -39,6 +39,17 @@
<include>org.apache.flink:flink-shaded-hadoop-2-uber</include>
</includes>
</dependencySet>
<dependencySet>
<outputDirectory>plugins/iceberg</outputDirectory>
<unpack>false</unpack>
<useProjectArtifact>false</useProjectArtifact>
<useProjectAttachments>false</useProjectAttachments>
<useTransitiveDependencies>true</useTransitiveDependencies>
<useTransitiveFiltering>true</useTransitiveFiltering>
<includes>
<include>org.apache.flink:flink-shaded-hadoop-2-uber</include>
</includes>
</dependencySet>

</dependencySets>

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2 changes: 1 addition & 1 deletion website/docs/intro.md
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Expand Up @@ -34,7 +34,7 @@ The following is a list of (but not limited to) use-cases that Fluss shines ✨:

## Where to go Next?

- [QuickStart](quickstart/flink.md): Get started with Fluss in minutes.
- [QuickStart](quickstart/flink-paimon.md): Get started with Fluss in minutes.
- [Architecture](concepts/architecture.md): Learn about Fluss's architecture.
- [Table Design](table-design/overview.md): Explore Fluss's table types, partitions and buckets.
- [Lakehouse](streaming-lakehouse/overview.md): Integrate Fluss with your Lakehouse to bring low-latency data to your Lakehouse analytics.
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