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56 lines
1.9 KiB
Markdown
56 lines
1.9 KiB
Markdown
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# Tuple(T1, T2, ...)
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A tuple of elements, each having an individual [type](index.md#data_types).
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Tuples are used for temporary column grouping. Columns can be grouped when an IN expression is used in a query, and for specifying certain formal parameters of lambda functions. For more information, see the sections [IN operators](../query_language/select.md) and [Higher order functions](../query_language/functions/higher_order_functions.md).
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Tuples can be the result of a query. In this case, for text formats other than JSON, values are comma-separated in brackets. In JSON formats, tuples are output as arrays (in square brackets).
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## Creating a tuple
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You can use a function to create a tuple:
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```
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tuple(T1, T2, ...)
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```
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Example of creating a tuple:
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```
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:) SELECT tuple(1,'a') AS x, toTypeName(x)
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SELECT
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(1, 'a') AS x,
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toTypeName(x)
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┌─x───────┬─toTypeName(tuple(1, 'a'))─┐
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│ (1,'a') │ Tuple(UInt8, String) │
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└─────────┴───────────────────────────┘
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1 rows in set. Elapsed: 0.021 sec.
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```
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## Working with data types
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When creating a tuple on the fly, ClickHouse automatically detects the type of each argument as the minimum of the types which can store the argument value. If the argument is [NULL](../query_language/syntax.md#null-literal), the type of the tuple element is [Nullable](nullable.md).
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Example of automatic data type detection:
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```
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SELECT tuple(1, NULL) AS x, toTypeName(x)
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SELECT
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(1, NULL) AS x,
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toTypeName(x)
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┌─x────────┬─toTypeName(tuple(1, NULL))──────┐
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│ (1,NULL) │ Tuple(UInt8, Nullable(Nothing)) │
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└──────────┴─────────────────────────────────┘
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1 rows in set. Elapsed: 0.002 sec.
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```
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[Original article](https://clickhouse.yandex/docs/en/data_types/tuple/) <!--hide-->
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