Amazon Redshift will no longer support the creation of new Python UDFs starting Patch 198. Existing Python UDFs will continue to function until June 30, 2026. For more information, see the [ blog post ](https://aws.amazon.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/). 

# DATE\_PART\_YEAR function
<a name="r_DATE_PART_YEAR"></a>

The DATE\_PART\_YEAR function extracts the year from a date. 

## Syntax
<a name="r_DATE_PART_YEAR-synopsis"></a>

```
DATE_PART_YEAR(date)
```

## Argument
<a name="r_DATE_PART_YEAR-argument"></a>

 *date*   
A column of data type `DATE` or an expression that implicitly evaluates to a `DATE` type.

## Return type
<a name="r_DATE_PART_YEAR-return-type"></a>

INTEGER

## Examples
<a name="r_DATE_PART_YEAR-examples"></a>

The following example finds the year from a date literal. 

```
SELECT DATE_PART_YEAR(date '20220502 04:05:06.789');

date_part_year
---------------
2022
```

The following example extracts the year from the CALDATE column. The values in the CALDATE column are dates. For more information about the data used in this example, see [Sample database](c_sampledb.md).

```
select caldate, date_part_year(caldate)
from date
order by
dateid limit 10;

 caldate   | date_part_year
-----------+----------------
2008-01-01 |           2008
2008-01-02 |           2008
2008-01-03 |           2008
2008-01-04 |           2008
2008-01-05 |           2008
2008-01-06 |           2008
2008-01-07 |           2008
2008-01-08 |           2008
2008-01-09 |           2008
2008-01-10 |           2008
(10 rows)
```