docs: iceberg integration - #2748
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killme2008
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Aug 14, 2026
| The key idea is that GreptimeDB already stores its SST (sorted string table) data files as Parquet in object storage. | ||
| The Iceberg integration does **not** re-write, duplicate, or export the data. Instead it publishes Iceberg | ||
| **metadata** — manifests, manifest-lists, and table-metadata snapshots — that point at the existing Parquet files. | ||
| Any engine that speaks Iceberg can then read those files through the REST catalog. |
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It would be better to include a diagram.
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| ## Make a table readable | ||
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| GreptimeDB publishes Iceberg metadata on flush, so the export of newly-written data appears after the next flush |
| GreptimeDB types map cleanly to Iceberg for the common cases (booleans, signed integers, floats, strings, binary, | ||
| date, timestamp). A few things to be aware of, especially in Spark: | ||
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| - **Declare the time index as `TIMESTAMP(6)`.** GreptimeDB's default `TIMESTAMP` is millisecond precision, but the |
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In that case, does it mean historical tables cannot use this feature, and only newly created tables with the correct TIME INDEX type configured can use it? I think this issue needs to be addressed.
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What changed
Initial version of iceberg user guide in enterprise section.
Scope
TODO: backport to 1.2 if everything looks good.
Checklist