

 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\$1CMP\$1TIMESTAMPTZ function
<a name="r_DATE_CMP_TIMESTAMPTZ"></a>

DATE\$1CMP\$1TIMESTAMPTZ compares a date to a timestamp with time zone and returns `0` if the values are identical, `1` if *date* is greater chronologically and `-1` if *timestamptz* is greater.

## Syntax
<a name="r_DATE_CMP_TIMESTAMPTZ-syntax"></a>

```
DATE_CMP_TIMESTAMPTZ(date, timestamptz)
```

## Arguments
<a name="r_DATE_CMP_TIMESTAMPTZ-arguments"></a>

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

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

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

INTEGER

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

The following example compares the date `2008-06-18` to LISTTIME. Listings made before this date return `1`; listings made after this date return `-1`. 

```
select listid, '2008-06-18', CAST(listtime AS timestamptz),
date_cmp_timestamptz('2008-06-18', CAST(listtime AS timestamptz))
from listing
order by 1, 2, 3, 4
limit 10;

 listid |  ?column?  |      timestamptz       | date_cmp_timestamptz
--------+------------+------------------------+----------------------
      1 | 2008-06-18 | 2008-01-24 06:43:29+00 |                  1
      2 | 2008-06-18 | 2008-03-05 12:25:29+00 |                  1
      3 | 2008-06-18 | 2008-11-01 07:35:33+00 |                 -1
      4 | 2008-06-18 | 2008-05-24 01:18:37+00 |                  1
      5 | 2008-06-18 | 2008-05-17 02:29:11+00 |                  1
      6 | 2008-06-18 | 2008-08-15 02:08:13+00 |                 -1
      7 | 2008-06-18 | 2008-11-15 09:38:15+00 |                 -1
      8 | 2008-06-18 | 2008-11-09 05:07:30+00 |                 -1
      9 | 2008-06-18 | 2008-09-09 08:03:36+00 |                 -1
     10 | 2008-06-18 | 2008-06-17 09:44:54+00 |                  1
(10 rows)
```