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