[Feat](TimeTravel) Time Travel for Cloud / Decoupled Mode#65431
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nsivarajan wants to merge 4 commits into
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[Feat](TimeTravel) Time Travel for Cloud / Decoupled Mode#65431nsivarajan wants to merge 4 commits into
nsivarajan wants to merge 4 commits into
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Thank you for your contribution to Apache Doris. Please clearly describe your PR:
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run buildall |
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FE UT Coverage ReportIncrement line coverage |
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TPC-H: Total hot run time: 29695 ms |
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What problem does this PR solve?
Issue Number: close #65422
Related PR: #xxx
Problem Summary:
Modern analytical workloads require querying data as it existed at a specific point in time — for audit trails, data debugging, incremental pipeline recovery, and regulatory compliance.
Apache Doris cloud/decoupled mode currently has no mechanism to read historical versions of a table. Once data is compacted or overwritten, earlier states are unrecoverable from SQL.
Requested syntax:
Supported on all DML table models: Duplicate Key, Unique Key (MoW), and Aggregate Key.
Solution
Key design points
Per-table opt-in — zero overhead for non-TT tables:
Two-level FDB index (cloud mode):
Level 1: sparse version index — one FDB key per commit per partition (T → V mapping)
Level 2: compaction checkpoint — pre-compaction rowset manifests written before each cumulative compaction, so historical reads survive compaction
One batch RPC resolves all partitions and fetches all manifests in a single FDB transaction — consistent snapshot across all partitions, one network round trip.
Post-compaction correctness — the critical test: a query at timestamp T returns identical results before and after compaction of the rowsets that covered T.
Outcome
Scope
Cloud/decoupled mode only (this PR)
Coupled/local storage mode: same architecture, separate follow-up (~40% effort)
SHOW TIME TRAVEL ON : listed as future work
Release note
None
Check List (For Author)
Test
Behavior changed:
Does this need documentation?
Check List (For Reviewer who merge this PR)