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lancedb/docs/web/basics/guarantees.mdx
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Brendan Clement 6a1645116e docs: declare where ingestion and table pages apply
Creating, writing, updating, merging and deleting rows, managing tables,
branches and read consistency work in the embedded library and on a
deployment, and those pages now say so. The SQL forms they mention need
a deployment.

Where the offerings differ, the section says how: a deployment reuses an
existing table without comparing schemas, a merge insert can be refused
past a configured number of unindexed rows, space is reclaimed by
optimize() locally and by the deployment's compaction and configured
cleanup otherwise, renaming depends on the catalog, a deployment clones
shallowly only, drops all tables only locally, keeps freshness state per
table handle and defaults freshness to its own setting, and refuses to
delete a branch main depends on. table_exists works only on a namespace
connection.

Guarantees and limits span both offerings, so they carry section notes
rather than a label: reads, retention, index freshness and compaction
differ on a deployment, and the name and job limits are a deployment's.
2026-10-08 21:31:42 -07:00

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---
title: "Guarantees"
sidebarTitle: "Guarantees"
description: "What a write promises when it returns, what a reader sees, and what survives a failure."
icon: shield-check
keywords: ["guarantees", "consistency", "atomicity", "durability", "concurrency", "acid"]
---
What the system promises, and — just as usefully — what it does not. Most
surprises in practice come from assuming one of the guarantees below is
stronger or weaker than it is.
## Writes {#writes}
**A write is atomic.** Every write commits a new table version. Either the
version exists and holds all of the change, or it does not exist and holds none
of it. There is no state in which a reader sees half an `add()`.
**A write returns only after the commit.** When the call returns, the version
is durable in object storage. Nothing is buffered in your process waiting to be
flushed.
**Every write advances the version**, including one that affects zero rows. A
delete whose predicate matches nothing still commits. Version numbers count
commits, not changes.
**Concurrent writes are resolved optimistically.** A transaction records the
change and the version it was based on. At commit time, a conflicting
concurrent operation is detected rather than silently overwritten, and the
commit is retried against the newer version. Operations that do not collide —
appending while another process appends — both succeed.
<Note>
`merge_insert` reports its retry attempts in the result. A high count means
contention on the same keys, not an error.
</Note>
## Reads {#reads}
**A read sees a consistent snapshot.** A query reads one table version
throughout; it never sees a mixture of two.
**Which version, by default, is the one open at the time the table was opened.**
This is the guarantee most often assumed to be stronger than it is:
<Warning>
A long-lived connection **does not observe other processes' writes** until it
reopens the table or its `read_consistency_interval` elapses. The default is
right for a batch job reading a stable snapshot and wrong for a service
expected to see fresh data.
This describes the embedded library. A table on a deployment is not pinned to
the version it opened: other writers' commits become visible as the
deployment's freshness setting allows.
</Warning>
Set `read_consistency_interval` when several processes write the same table and
readers must observe those writes. The cost is a metadata check on that
interval. See [Consistency](/tables/consistency).
**Your own writes are always visible to you.** The interval governs other
writers, not yourself.
## Durability and history {#durability}
**Old versions are retained, not overwritten.** A new version does not destroy
the one before it, which is what makes [time travel](/management/table#versioning) work
and what lets a reader finish a scan that started on an older version.
**Deletion is a mark, not an erase.** A deleted row is recorded in a deletion
file. The data is recoverable for as long as the version that contains it
exists.
<Warning>
Retention is finite. [Cleanup](/maintenance/cleanup) prunes versions older
than the retention window — **7 days by default** for `optimize()` in the
embedded library, while a deployment's configuration sets its own — and a tag or branch
pointing at a pruned version no longer resolves. If you rely on reading old
versions, widen the window before running it, not after.
</Warning>
**Dropping a table ends its history.** Versioning does not survive
`drop_table`; there is no undrop.
## Jobs {#jobs}
**A refresh recomputes only what changed.** It gives values to rows that lack
them and recomputes rows whose inputs changed since they were computed; it
leaves the rest alone. Two consequences, both relied on elsewhere:
- **Retrying is safe.** Re-running a refresh fills what is still empty or stale.
It is not guaranteed to cost only the rows that did not complete: a retry can
recompute values that were already written.
- **A filled value catches up at the next refresh.** If a column derives from
`price` and a row's `price` later changes, the derived value keeps its old
value until the next refresh recomputes it.
**What a failure keeps depends on where the refresh ran.** `refresh_column` in
your process commits the column once, so a failure keeps none of its values. A
refresh job on a deployment commits finished batches as it goes, so some values
can remain.
**Cancellation is a request.** `cancel()` asks a job to stop; it does not
guarantee it stops before doing more work, and cancelling a finished job does
nothing.
**A job id is opaque.** It correlates with server logs and the jobs API.
Parsing it, or storing it to resume the job later, is not supported.
See [Jobs](/basics/jobs).
## Schema {#schema}
**Schema changes are versioned like data changes.** Adding, renaming, retyping
or dropping a column commits a version, so a schema change can be travelled back
through.
**A computed column's inputs are protected.** While a declaration references a
column, that column cannot be renamed, retyped, or dropped — the declaration is
part of the schema and will not be invalidated out from under itself.
**Most schema changes do not rewrite data.** Adding a derived column writes only
the new column. Type changes are the exception and can be substantial.
## What is not guaranteed {#not-guaranteed}
Worth stating plainly, because each is occasionally assumed:
| | |
| --- | --- |
| Multi-table transactions | A commit covers one table. There is no cross-table atomic write. |
| Read-your-writes across processes | Governed by `read_consistency_interval` and, on a deployment, its freshness setting; not automatic. |
| Unenforced primary keys | `SET UNENFORCED PRIMARY KEY` records intent; it does not enforce uniqueness. |
| Ordering of concurrent appends | Two appends both succeed; their relative row order is not defined. |
| Index freshness | An index does not cover rows added after it was built until [optimized](/maintenance/compaction) in the embedded library, or until a deployment's background maintenance adds them. |
| Automatic compaction | In the embedded library nothing runs in the background; `optimize()` runs when you call it. A deployment compacts automatically. |
The last two are the most common source of "why is this query slow" — see
[Limits](/basics/limits) for the bounds that pair with them.