While the table name is selected type CTRL + 3 and you will notice that the query will run and will return a single row as a resultset. Now developer just has to select the table name and click on CTRL + 3 or your preferred shortcut key and you will be able to see a single row from your table.
RIGHT JOIN returns only unmatched rows from the right table , as well as matched rows in both tables.
An INNER JOIN is such type of join that returns all rows from both the participating tables where the key record of one table is equal to the key records of another table. This type of join required a comparison operator to match rows from the participating tables based on a common field or column of both the tables.
You need to have a subquery to get their latest date per user ID.
SELECT  a.*, c.*
FROM users a 
    INNER JOIN payments c
        ON a.id = c.user_ID
    INNER JOIN
    (
        SELECT user_ID, MAX(date) maxDate
        FROM payments
        GROUP BY user_ID
    ) b ON c.user_ID = b.user_ID AND
            c.date = b.maxDate
WHERE a.package = 1
    SELECT u.*, p.*
FROM users AS u
INNER JOIN payments AS p ON p.id = (
    SELECT id
    FROM payments AS p2
    WHERE p2.user_id = u.id
    ORDER BY date DESC
    LIMIT 1
)
Or
SELECT u.*, p.*
FROM users AS u
INNER JOIN payments AS p ON p.user_id = u.id
WHERE NOT EXISTS (
    SELECT 1
    FROM payments AS p2
    WHERE
        p2.user_id = p.user_id AND
        (p2.date > p.date OR (p2.date = p.date AND p2.id > p.id))
)
These solutions are better than the accepted answer because they work correctly when there are multiple payments with same user and date. You can try on SQL Fiddle.
SELECT u.*, p.*, max(p.date)
FROM payments p
JOIN users u ON u.id=p.user_id AND u.package = 1
GROUP BY u.id
ORDER BY p.date DESC
Check out this sqlfiddle
   SELECT u.* 
        FROM users AS u
        INNER JOIN (
            SELECT p.*,
             @num := if(@id = user_id, @num + 1, 1) as row_number,
             @id := user_id as tmp
            FROM payments AS p,
                 (SELECT @num := 0) x,
                 (SELECT @id := 0) y
            ORDER BY p.user_id ASC, date DESC)
        ON (p.user_id = u.id) and (p.row_number=1)
        WHERE u.package = 1
    There are two problems with your query:
INNER JOIN (SELECT ...) AS p ON .... Assuming there are no ties for payments.date, try:
    SELECT u.*, p.* 
    FROM (
        SELECT MAX(p.date) AS date, p.user_id 
        FROM payments AS p
        GROUP BY p.user_id
    ) AS latestP
    INNER JOIN users AS u ON latestP.user_id = u.id
    INNER JOIN payments AS p ON p.user_id = u.id AND p.date = latestP.date
    WHERE u.package = 1
    @John Woo's answer helped me solve a similar problem. I've improved upon his answer by setting the correct ordering as well. This has worked for me:
SELECT  a.*, c.*
FROM users a 
    INNER JOIN payments c
        ON a.id = c.user_ID
    INNER JOIN (
        SELECT user_ID, MAX(date) as maxDate FROM
        (
            SELECT user_ID, date
            FROM payments
            ORDER BY date DESC
        ) d
        GROUP BY user_ID
    ) b ON c.user_ID = b.user_ID AND
           c.date = b.maxDate
WHERE a.package = 1
I'm not sure how efficient this is, though.
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