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Informational 15 Bitcoin

kvdb/sqlbase: define migration bulk KV interfaces

Public commit record

What the developer wrote

Authored by ziggie

78/100 · Adequate
kvdb/sqlbase: define migration bulk KV interfaces

This commit introduces a migration-only interface set that lets the
KV-to-SQL migration load and verify the raw SQL KV schema directly,
bypassing the walletdb/kvdb bucket abstraction. Normal application code
continues to use the bucket APIs; these helpers exist solely to make the
one-time bulk migration fast and verifiable.

MigrationBulkKVStore is the entry point. It exposes CheckEmpty to guard
against migrating into a populated table, TruncateTargetTable to recover
from an interrupted fresh-only attempt, and two transaction openers:
BeginBulk for loading and BeginBulkVerify for batched verification.

The write path inserts buckets one at a time to obtain generated ids.
It inserts leaves in batches, leaving the concrete bulk strategy to the
backend. The read path walks the tree level with FetchTopLevel and
FetchChildren.

MigrationBulkChild uses an explicit IsBucket flag rather than inspecting
the value column. This prevents an empty leaf value from being confused
with the SQL NULL marker used for buckets.

The interfaces use the same build constraints as the SQL kvdb backends.
Backends expose the migration capability explicitly; the first concrete
implementation is Postgres-only.
✓ Descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Mentions testing or verification
The short version

What changed, and why it matters

This commit only adds new Go interface definitions for a future database migration feature. There is no executable code, no bug fixes, and no behavior changes to the running application. It cannot be exploited or cause security issues on its own.

Recommended action

No security action required. Review the concrete implementations when they are submitted to ensure bulk-load transactions, truncation, and verification paths are safe.

Security signals we found

No strong security signals were identified.

Risk score

Why this scored 15/100

Our methodology →
Potential impact 0/30
Exploitability 0/25
Stealth signal 0/15
Affected reach 0/15
Confidence 10/10
Evidence quality 5/5
Human-validated context

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