Update table using values from another table in SQL Server

I have 2 table in my database.

Table #1

-------------------------------------------------------------------------
| name | family | phone | email | gender | phone2 | address | birthdate |
-------------------------------------------------------------------------

Table #2

-----------------------------------------
| gender | address | phone | birthdate |
-----------------------------------------

in table #1 columns address and phone2 is empty and columns gender and birthdate values is same as table #2.

How can I read data from table #2 and update address and phone2 in table #1 with values from table #2 address and phone columns when gender and birthdate is the same in each row?

for example:
this is some data in Table #1

-------------------------------------------------------------------------
| name | family | phone | email | gender | phone2 | address | birthdate |
-------------------------------------------------------------------------
| john | doe    | 12345| t@t.com| Male  |         |         | 1980-01-01|
-------------------------------------------------------------------------
| mike | clark  | 65432| x@y.com| Male  |         |         | 1990-01-01|
-------------------------------------------------------------------------
| Sara | King   | 875465| a@b.com|Female|         |         | 1970-01-01|
-------------------------------------------------------------------------

and here is some data in table #2

-----------------------------------------
| gender | address | phone | birthdate  |
-----------------------------------------
| Male   | 1704test|0457852|1980-01-01  |
-----------------------------------------
| Female | 1705abcs|0986532|1970-01-01  |
-----------------------------------------
| Male   | 1602cyzd|0326589|1990-01-01  |
-----------------------------------------

I want to update table #1 with data from table #2 and check gender and birthdate and make table #1 like

```
-------------------------------------------

There are quite a few ways to achieve your desired results.

Undeterministic methods

(in the event that many rows in table 2 match one in table 1)

UPDATE T1
SET    address = T2.address,
       phone2 = T2.phone
FROM   #Table1 T1
       JOIN #Table2 T2
         ON T1.gender = T2.gender
            AND T1.birthdate = T2.birthdate

Or a slightly more concise form

UPDATE #Table1
SET    address = #Table2.address,
       phone2 = #Table2.phone
FROM   #Table2
WHERE  #Table2.gender = #Table1.gender
       AND #Table2.birthdate = #Table1.birthdate

Or with a CTE

WITH CTE
     AS (SELECT T1.address AS tgt_address,
                T1.phone2  AS tgt_phone,
                T2.address AS source_address,
                T2.phone   AS source_phone
         FROM   #Table1 T1
                INNER JOIN #Table2 T2
                  ON T1.gender = T2.gender
                     AND T1.birthdate = T2.birthdate)
UPDATE CTE
SET    tgt_address = source_address,
       tgt_phone = source_phone

Deterministic methods

MERGE would throw an error rather than accept non deterministic results

MERGE #Table1 T1
USING #Table2 T2
ON T1.gender = T2.gender
   AND T1.birthdate = T2.birthdate
WHEN MATCHED THEN
  UPDATE SET address = T2.address,
             phone2 = T2.phone;

Or you could pick a specific record if there is more than one match

With APPLY

UPDATE T1
SET    address = T2.address,
       phone2 = T2.phone
FROM   #Table1 T1
       CROSS APPLY (SELECT TOP 1 *
                    FROM   #Table2 T2
                    WHERE  T1.gender = T2.gender
                           AND T1.birthdate = T2.birthdate
                    ORDER  BY T2.PrimaryKey) T2

.. Or a CTE

WITH T2
     AS (SELECT *,
                ROW_NUMBER() OVER (PARTITION BY gender, birthdate ORDER BY primarykey) AS RN
         FROM   #Table2)
UPDATE T1
SET    address = T2.address,
       phone2 = T2.phone
FROM   #Table1 T1
       JOIN T2
         ON T1.gender = T2.gender
            AND T1.birthdate = T2.birthdate
            AND T2.RN = 1;

StackExchange Database Administrators Q#138901, answer score: 39