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# SAMPLE / TABLESAMPLEÂ¶

Returns a subset of rows sampled randomly from the specified table. The following sampling methods are supported:

Sample a fraction of a table, with a specified probability for including a given row. The number of rows returned depends on the size of the table and the requested probability. A seed can be specified to make the sampling deterministic.

Sample a fixed, specified number of rows. The exact number of specified rows is returned unless the table contains fewer rows.

SAMPLE and TABLESAMPLE are synonymous and can be used interchangeably.

## SyntaxÂ¶

```
SELECT ...
FROM ...
{ SAMPLE | TABLESAMPLE } [ samplingMethod ] ( { <probability> | <num> ROWS } ) [ { REPEATABLE | SEED } ( <seed> ) ]
[ ... ]
```

Where:

samplingMethod ::= { { BERNOULLI | ROW } | { SYSTEM | BLOCK } }

## ParametersÂ¶

`BERNOULLI | ROW`

or .`SYSTEM | BLOCK`

Specifies the sampling method to use:

`BERNOULLI`

(or`ROW`

): Includes each row with a

of*probability*`p/100`

. Similar to flipping a weighted coin for each row.`SYSTEM`

(or`BLOCK`

): Includes each block of rows with a

of*probability*`p/100`

. Similar to flipping a weighted coin for each block of rows. This method does not support fixed-size sampling.

Sampling method is optional. If no method is specified, the default is

`BERNOULLI`

.

or .*probability**num*ROWSSpecifies whether to sample based on a fraction of the table or a fixed number of rows in the table, where:

specifies the percentage probability to use for selecting the sample. Can be any decimal number between*probability*`0`

(no rows selected) and`100`

(all rows selected) inclusive.

specifies the number of rows (up to 1,000,000) to sample from the table. Can be any integer between*num*`0`

(no rows selected) and`1000000`

inclusive.

`REPEATABLE | SEED (`

*seed*)Specifies a seed value to make the sampling deterministic. Can be any integer between

`0`

and`2147483647`

inclusive.

## Usage notesÂ¶

The following keywords can be used interchangeably:

`SAMPLE | TABLESAMPLE`

`BERNOULLI | ROW`

`SYSTEM | BLOCK`

`REPEATABLE | SEED`

The number of rows returned depends on the sampling method specified:

- Fraction-based:
For

`BERNOULLI | ROW`

sampling, the expected number of returned rows is`(p/100)*n`

.For

`SYSTEM | BLOCK`

sampling, the sample might be biased, in particular for small tables.

Note

For very large tables, the difference between the two methods should be negligible.

Also, because sampling is a probabilistic process, the number of rows returned is not exactly equal to

`(p/100)*n`

rows, but is close.If no

is specified, SAMPLE generates different results when the same query is repeated.*seed*If a table does not change, and the same

and*seed*

are specified, SAMPLE generates the same result. However, sampling on a copy of a table might not return the same result as sampling on the original table, even if the same*probability*

and*probability*

are specified.*seed*

- Fixed-size:
If the table is larger than the requested number of rows, the number of requested rows is always returned.

If the table is smaller than the requested number of rows, the entire table is returned.

`SYSTEM | BLOCK`

and

are not supported for fixed-size sampling. For example, the following queries produce errors:*seed*select * from example_table sample system (10 rows); select * from example_table sample row (10 rows) seed (99);

Sampling with a

is not supported on views or subqueries. For example, the following query produces an error:*seed*select * from (select * from example_table) sample (1) seed (99);

Sampling the result of a

`JOIN`

is allowed, but only when all of the following are true:The sample is row-based (Bernoulli).

The sampling does not use a seed.

The sampling is done after the join has been fully processed. Therefore, sampling does not reduce the number of rows joined and does not reduce the cost of the

`JOIN`

. The Examples section includes an example of sampling the result of a`JOIN`

.In addition to using literals to specify

and*probability*|*num*ROWS

, session or bind variables can also be used.*seed*

## Performance considerationsÂ¶

`SYSTEM | BLOCK`

sampling is often faster than`BERNOULLI | ROW`

sampling.Sampling without a

is often faster than sampling with a*seed*

.*seed*Fixed-size sampling can be slower than equivalent fraction-based sampling because fixed-size sampling prevents some query optimization.

## ExamplesÂ¶

### Fraction-based row samplingÂ¶

Return a sample of a table in which each row has a 10% probability of being included in the sample:

SELECT * FROM testtable SAMPLE (10);

Return a sample of a table in which each row has a 20.3% probability of being included in the sample:

SELECT * FROM testtable TABLESAMPLE BERNOULLI (20.3);

Return an entire table, including all rows in the table:

SELECT * FROM testtable TABLESAMPLE (100);

Return an empty sample:

SELECT * FROM testtable SAMPLE ROW (0);

This example shows how to sample multiple tables in a join:

SELECT i, j FROM table1 AS t1 SAMPLE (25) -- 25% of rows in table1 INNER JOIN table2 AS t2 SAMPLE (50) -- 50% of rows in table2 WHERE t2.j = t1.i ;

The `SAMPLE`

clause applies to only one table, not all preceding tables or the entire expression prior to the
`SAMPLE`

clause. The following `JOIN`

operation joins all rows of t1 to a sample of 50% of the rows in table2;
it does not sample 50% of the rows that result from joining all rows in both tables:

SELECT i, j FROM table1 AS t1 INNER JOIN table2 AS t2 SAMPLE (50) WHERE t2.j = t1.i ;

To apply the `SAMPLE`

clause to the result of a `JOIN`

, rather than to the individual tables in the `JOIN`

,
apply the `JOIN`

to an inline view that contains the result of the `JOIN`

. For example, perform
the `JOIN`

as a subquery, and then apply the SAMPLE to the result of the subquery. The example below samples
approximately 1% of the rows returned by the `JOIN`

:

select * from ( select * from t1 join t2 on t1.a = t2.c ) sample (1);

### Fraction-based block sampling (with seeds)Â¶

Return a sample of a table in which each block of rows has a 3% probability of being included in the sample, and set the seed to 82:

SELECT * FROM testtable SAMPLE SYSTEM (3) SEED (82);

Return a sample of a table in which each block of rows has a 0.012% probability of being included in the sample, and set the seed to 99992:

SELECT * FROM testtable SAMPLE BLOCK (0.012) REPEATABLE (99992);

Note

If either of these queries are run again without making any changes to the table, they return the same sample set.

### Fixed-size row samplingÂ¶

Return a fixed-size sample of 10 rows in which each row has a `min(1, 10/n)`

probability of being included in the sample, where `n`

is the number of rows in the table:

SELECT * FROM testtable SAMPLE (10 ROWS);