Safest Way to Get Last Record Id from a Table

Safest way to get last record ID from a table

Safest way will be to output or return the scope_identity() within the procedure inserting the row, and then retrieve the row based on that ID. Use of @@Identity is to be avoided since you can get the incorrect ID when triggers are in play.

Any technique of asking for the maximum value / top 1 suffers a race condition where 2 people adding at the same time, would then get the same ID back when they looked for the highest ID.

How to select the last record of a table in SQL?

Without any further information, which Database etc the best we can do is something like

Sql Server

SELECT TOP 1 * FROM Table ORDER BY ID DESC

MySql

SELECT * FROM Table ORDER BY ID DESC LIMIT 1

Get list of last record for each ID in SQL

A simple but not necessarily the most optimal way of querying this is using NOT EXISTS:

SELECT *
FROM MyTable t
WHERE NOT EXISTS (
    SELECT * FROM MyTable tt WHERE tt.id_foreign=t.id_foreign AND tt.id > t.id
)

Demo on SqlFiddle.

Retrieving the last record in each group - MySQL

MySQL 8.0 now supports windowing functions, like almost all popular SQL implementations. With this standard syntax, we can write greatest-n-per-group queries:

WITH ranked_messages AS (
  SELECT m.*, ROW_NUMBER() OVER (PARTITION BY name ORDER BY id DESC) AS rn
  FROM messages AS m
)
SELECT * FROM ranked_messages WHERE rn = 1;

This and other approaches to finding groupwise maximal rows are illustrated in the MySQL manual.

Below is the original answer I wrote for this question in 2009:

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I write the solution this way:

SELECT m1.*
FROM messages m1 LEFT JOIN messages m2
 ON (m1.name = m2.name AND m1.id < m2.id)
WHERE m2.id IS NULL;

Regarding performance, one solution or the other can be better, depending on the nature of your data. So you should test both queries and use the one that is better at performance given your database.

For example, I have a copy of the StackOverflow August data dump. I'll use that for benchmarking. There are 1,114,357 rows in the Posts table. This is running on MySQL 5.0.75 on my Macbook Pro 2.40GHz.

I'll write a query to find the most recent post for a given user ID (mine).

First using the technique shown by @Eric with the GROUP BY in a subquery:

SELECT p1.postid
FROM Posts p1
INNER JOIN (SELECT pi.owneruserid, MAX(pi.postid) AS maxpostid
            FROM Posts pi GROUP BY pi.owneruserid) p2
  ON (p1.postid = p2.maxpostid)
WHERE p1.owneruserid = 20860;

1 row in set (1 min 17.89 sec)

Even the EXPLAIN analysis takes over 16 seconds:

+----+-------------+------------+--------+----------------------------+-------------+---------+--------------+---------+-------------+
| id | select_type | table      | type   | possible_keys              | key         | key_len | ref          | rows    | Extra       |
+----+-------------+------------+--------+----------------------------+-------------+---------+--------------+---------+-------------+
|  1 | PRIMARY     | <derived2> | ALL    | NULL                       | NULL        | NULL    | NULL         |   76756 |             | 
|  1 | PRIMARY     | p1         | eq_ref | PRIMARY,PostId,OwnerUserId | PRIMARY     | 8       | p2.maxpostid |       1 | Using where | 
|  2 | DERIVED     | pi         | index  | NULL                       | OwnerUserId | 8       | NULL         | 1151268 | Using index | 
+----+-------------+------------+--------+----------------------------+-------------+---------+--------------+---------+-------------+
3 rows in set (16.09 sec)

Now produce the same query result using my technique with LEFT JOIN:

SELECT p1.postid
FROM Posts p1 LEFT JOIN posts p2
  ON (p1.owneruserid = p2.owneruserid AND p1.postid < p2.postid)
WHERE p2.postid IS NULL AND p1.owneruserid = 20860;

1 row in set (0.28 sec)

The EXPLAIN analysis shows that both tables are able to use their indexes:

+----+-------------+-------+------+----------------------------+-------------+---------+-------+------+--------------------------------------+
| id | select_type | table | type | possible_keys              | key         | key_len | ref   | rows | Extra                                |
+----+-------------+-------+------+----------------------------+-------------+---------+-------+------+--------------------------------------+
|  1 | SIMPLE      | p1    | ref  | OwnerUserId                | OwnerUserId | 8       | const | 1384 | Using index                          | 
|  1 | SIMPLE      | p2    | ref  | PRIMARY,PostId,OwnerUserId | OwnerUserId | 8       | const | 1384 | Using where; Using index; Not exists | 
+----+-------------+-------+------+----------------------------+-------------+---------+-------+------+--------------------------------------+
2 rows in set (0.00 sec)

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Here's the DDL for my Posts table:

CREATE TABLE `posts` (
  `PostId` bigint(20) unsigned NOT NULL auto_increment,
  `PostTypeId` bigint(20) unsigned NOT NULL,
  `AcceptedAnswerId` bigint(20) unsigned default NULL,
  `ParentId` bigint(20) unsigned default NULL,
  `CreationDate` datetime NOT NULL,
  `Score` int(11) NOT NULL default '0',
  `ViewCount` int(11) NOT NULL default '0',
  `Body` text NOT NULL,
  `OwnerUserId` bigint(20) unsigned NOT NULL,
  `OwnerDisplayName` varchar(40) default NULL,
  `LastEditorUserId` bigint(20) unsigned default NULL,
  `LastEditDate` datetime default NULL,
  `LastActivityDate` datetime default NULL,
  `Title` varchar(250) NOT NULL default '',
  `Tags` varchar(150) NOT NULL default '',
  `AnswerCount` int(11) NOT NULL default '0',
  `CommentCount` int(11) NOT NULL default '0',
  `FavoriteCount` int(11) NOT NULL default '0',
  `ClosedDate` datetime default NULL,
  PRIMARY KEY  (`PostId`),
  UNIQUE KEY `PostId` (`PostId`),
  KEY `PostTypeId` (`PostTypeId`),
  KEY `AcceptedAnswerId` (`AcceptedAnswerId`),
  KEY `OwnerUserId` (`OwnerUserId`),
  KEY `LastEditorUserId` (`LastEditorUserId`),
  KEY `ParentId` (`ParentId`),
  CONSTRAINT `posts_ibfk_1` FOREIGN KEY (`PostTypeId`) REFERENCES `posttypes` (`PostTypeId`)
) ENGINE=InnoDB;

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Note to commenters: If you want another benchmark with a different version of MySQL, a different dataset, or different table design, feel free to do it yourself. I have shown the technique above. Stack Overflow is here to show you how to do software development work, not to do all the work for you.

Retrieve last record in a group based on string - DB2

You can use ROW_NUMBER(). For example, if your table is called t you can do:

select * 
from (
  select *,
    row_number() over(partition by location, product 
                      order by date desc) as rn
  from t
) x
where rn = 1

SQL query to get last record based on table relation

you can do this query (Result here)

with x as (
select row_number() over (partition by p.id order by b.created_at desc) as rn,b.id as id_box,p.id as id_paper
from boxes b join stones s on b.stone_id = s.id
join papers p on p.id = s.paper_id)
select x.id_box from x where rn = 1

SQL get last rows in table WITHOUT primary ID

I assume that when you are saying 'last rows', you mean 'last created rows'.

Even if you had primary key, it would still be not the best option to use it do determine rows creation order.
There is no guarantee that that the row with the bigger primary key value was created after the row with a smaller primary key value.

Even if primary key is on identity column, you can still always override identity values on insert by using
set identity_insert on.

It is a better idea to have timestamp column, for example CreatedDateTime with a default constraint.
You would have index on this field.
Then your query would be simple, efficient and correct:

select top 1 *
from MyTable
order by CreatedDateTime desc

If you don't have timestamp column, you can't determine 'last rows'.

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