ClickHouse/docs/en/sql-reference/aggregate-functions/reference/groupbitand.md

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sidebar_position: 125
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# groupBitAnd

Applies bitwise `AND` for series of numbers.

``` sql
groupBitAnd(expr)
```

**Arguments**

`expr` – An expression that results in `UInt*` type.

**Return value**

Value of the `UInt*` type.

**Example**

Test data:

``` text
binary     decimal
00101100 = 44
00011100 = 28
00001101 = 13
01010101 = 85
```

Query:

``` sql
SELECT groupBitAnd(num) FROM t
```

Where `num` is the column with the test data.

Result:

``` text
binary     decimal
00000100 = 4
```
-												[docs] split aggregate function and system table references (#11742)

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-												[docs] split aggregate function and system table references (#11742)

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* wip

* split aggregate function reference

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											2020-06-18 08:24:31 +00:00
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+								# groupBitAnd
-												[docs] split aggregate function and system table references (#11742)

* prefer relative links from root

* wip

* split aggregate function reference

* split system tables
											
										
										
											2020-06-18 08:24:31 +00:00
 								Applies bitwise `AND` for series of numbers.
 								``` sql
 								groupBitAnd(expr)
 								```
-												Replacement `Parameters` to `Arguments` for aggregate functions

											
										
										
											2021-02-15 21:33:53 +00:00
+								**Arguments**
-												[docs] split aggregate function and system table references (#11742)

* prefer relative links from root

* wip

* split aggregate function reference

* split system tables
											
										
										
											2020-06-18 08:24:31 +00:00
 								`expr` – An expression that results in `UInt*` type.
 								**Return value**
 								Value of the `UInt*` type.
 								**Example**
 								Test data:
 								``` text
 								binary     decimal
 								00101100 = 44
 								00011100 = 28
 								00001101 = 13
 								01010101 = 85
 								```
 								Query:
 								``` sql
 								SELECT groupBitAnd(num) FROM t
 								```
 								Where `num` is the column with the test data.
 								Result:
 								``` text
 								binary     decimal
 								00000100 = 4
 								```