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103 lines
3.6 KiB
Plaintext
103 lines
3.6 KiB
Plaintext
---
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title: "Random sampling"
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sidebarTitle: "Sampling"
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description: "TABLESAMPLE: draw a random subset of a table, by rows or by fragments."
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icon: dice
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keywords: ["tablesample", "sampling", "bernoulli", "system", "repeatable", "random"]
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---
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<Badge color="red">Enterprise</Badge> [SQL runs in LanceDB Enterprise.](/sql)
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Use `TABLESAMPLE` to explore a subset of a table or estimate aggregate
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statistics. The sampling method determines how much data is read and whether
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the table's physical layout influences the sample.
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```sql
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SELECT * FROM documents TABLESAMPLE (10) -- 10 percent
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SELECT * FROM documents TABLESAMPLE (500 ROWS) -- 500 rows
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```
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A bare number is a **percentage**. Add `ROWS` for a count instead.
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## Rows or fragments {#methods}
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The standard calls these two methods of one clause. They are different
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operations, and the difference matters on Lance:
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```sql
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SELECT * FROM documents TABLESAMPLE BERNOULLI (10)
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SELECT * FROM documents TABLESAMPLE SYSTEM (10)
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```
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| Method | Aliases | What it picks |
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| --- | --- | --- |
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| `BERNOULLI` | `ROW` | rows, each considered independently |
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| `SYSTEM` | `BLOCK` | **Lance fragments**, and takes whatever rows they hold |
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`BERNOULLI` gives a genuinely uniform sample and reads across the whole table to
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get it. `SYSTEM` reads far less -- it skips entire fragments -- but the sample is
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only as uniform as the data's layout. If rows were written in an order that
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correlates with what you are measuring, a fragment sample inherits that
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correlation.
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Use `SYSTEM` for a quick look at the data and `BERNOULLI` when you need
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independent row sampling. Omitting the method gives
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`BERNOULLI`.
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## Repeatability {#repeatable}
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Without a seed, every execution resamples -- running the same query twice gives
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different rows. `REPEATABLE` fixes the draw:
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```sql
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SELECT * FROM documents TABLESAMPLE (10) REPEATABLE (42)
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```
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Use the same seed and table snapshot to reproduce a sampling run. For a fixed
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evaluation set, save the selected row IDs or materialize the sample and retain
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its version. A seed alone does not preserve membership after source changes
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or changes to the physical layout.
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## Where the clause can go {#placement}
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It attaches to a table in `FROM`, including inside a subquery, a CTE, or either
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side of a join:
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```sql
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SELECT * FROM (SELECT * FROM documents TABLESAMPLE (10)) d
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SELECT * FROM a TABLESAMPLE (5 ROWS) JOIN b ON a.id = b.id
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SELECT * FROM t a TABLESAMPLE (10) JOIN t b TABLESAMPLE (10) ON a.id = b.id
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```
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Each side of a join samples independently. Sampling both sides of a join
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shrinks the *result* far more than either fraction suggests, because a row only
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survives if both its sides were drawn.
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## Unsupported sampling forms {#refused}
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Sampling is semantics, not a hint. A clause that were read and then not applied
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would be a wrong answer rather than a missing feature, so anything that cannot
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be honoured exactly is an error:
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| | |
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| --- | --- |
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| `TABLESAMPLE (101)` | a percentage outside `0..=100` is refused, not clamped |
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| `TABLESAMPLE (1.5 ROWS)` | a row count must be whole |
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| `TABLESAMPLE (BUCKET 1 OUT OF 4)` | bucket sampling is not supported |
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| `(SELECT ...) d TABLESAMPLE (10)` | a subquery's result cannot be sampled; sample the table inside it |
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| the `SAMPLE` spelling | use `TABLESAMPLE` |
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| the `OFFSET` modifier | not supported |
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<Note>
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`TABLESAMPLE` is also refused on a WAL-backed table, where the rows a sample
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would draw from are not all in the fragments yet.
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</Note>
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## Sampling outside SQL {#sdk}
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For a training loop rather than a query, the SDKs read a table in a shuffled
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order without going through SQL at all -- see [Training](/training/data-loading), where a
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permutation drives the data loader.
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