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in SQL by (20.3k points)

I've got two postgresql tables:

table name     column names

-----------    ------------------------

login_log      ip | etc.

ip_location    ip | location | hostname | etc.

I want to get every IP address from login_log which doesn't have a row in ip_location.

I tried this query but it throws a syntax error.

SELECT login_log.ip 

FROM login_log 

WHERE NOT EXIST (SELECT ip_location.ip

                 FROM ip_location

                 WHERE login_log.ip = ip_location.ip)

ERROR: syntax error at or near "SELECT"

LINE 3: WHERE NOT EXIST (SELECT ip_location.ip`

I'm also wondering if this query (with adjustments to make it work) is the best performing query for this purpose.

2 Answers

0 votes
by (40.7k points)

Following 4 methods to select rows that are not present in other tables, all of them are standard SQL.

1. NOT EXISTS

For more information refer to this link:

https://www.postgresql.org/docs/current/functions-subquery.html#FUNCTIONS-SUBQUERY-EXISTS

This is the fastest in Postgres.

SELECT ip 

FROM   login_log l 

WHERE  NOT EXISTS (

   SELECT  -- SELECT list mostly irrelevant; can just be empty in Postgres

   FROM   ip_location

   WHERE  ip = l.ip

   );

In EXISTS subqueries, what is easier to read?

2. Use LEFT JOIN / IS NULL

For more information refer to this link:

https://www.postgresql.org/docs/current/queries-table-expressions.html#QUERIES-FROM

Sometimes this is the fastest. But, often the shortest. Most of the time results in the same query plan as NOT EXISTS.

SELECT l.ip 

FROM   login_log l 

LEFT   JOIN ip_location i USING (ip)  -- short for: ON i.ip = l.ip

WHERE  i.ip IS NULL;

Use EXCEPT

3. EXCEPT

For more information refer to this link:

https://www.postgresql.org/docs/current/queries-union.html

The below code will not be easily integrated into more complex queries.

SELECT ip 

FROM   login_log

EXCEPT ALL  -- Here, "ALL" keeps duplicates and makes it faster

SELECT ip

FROM   ip_location;

Note: Duplicates will be eliminated unless EXCEPT ALL is used.

Typically, you need the ALL keyword. Even if you don't care, use it because it makes the query faster.

4.  Use NOT IN 

For more information refer to this link:

https://www.postgresql.org/docs/current/functions-subquery.html#FUNCTIONS-SUBQUERY-NOTIN 

It's only good without NULL values or if you know to handle NULL properly. 

SELECT ip 

FROM   login_log

WHERE  ip NOT IN (

   SELECT DISTINCT ip  -- DISTINCT is optional

   FROM   ip_location

   );

NOT IN: It carries a "trap" for NULL values on either side:

Find records where join doesn't exist. Select rows where the value of the second column is not present in the first column.

0 votes
by (1.9k points)

The error is due to a small typo: NOT EXIST should be NOT EXISTS. Here’s the corrected query:

SELECT login_log.ip

FROM login_log

WHERE NOT EXISTS (

   SELECT 1

   FROM ip_location

   WHERE login_log.ip = ip_location.ip

);

Explanation

NOT EXISTS: This checks for the absence of rows from the ip_location table where the IP address matches. If there’s no match, the row from login_log is returned.

SELECT 1: It’s a common practice to use SELECT 1 within EXISTS subqueries for readability and slight optimization.

Performance Consideration:

For better performance, consider creating an index on ip_location.ip if you haven’t already. This will speed up the subquery lookup and make the NOT EXISTS check faster for large tables.

Alternatively, another efficient approach could be to use a LEFT JOIN:

SELECT login_log.ip

FROM login_log

LEFT JOIN ip_location ON login_log.ip = ip_location.ip

WHERE ip_location.ip IS NULL;

This LEFT JOIN will join rows where there’s no match in ip_location and only return rows where ip_location.ip is NULL

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