table1 (id, name)
table2 (id, name)
Query:
SELECT name
FROM table2
-- that are not in table1 already
SELECT t1.name
FROM table1 t1
LEFT JOIN table2 t2 ON t2.name = t1.name
WHERE t2.name IS NULL
Q: What is happening here?
A: Conceptually, we select all rows from table1 and for each row we attempt to find a row in table2 with the same value for the name column. If there is no such row, we just leave the table2 portion of our result empty for that row. Then we constrain our selection by picking only those rows in the result where the matching row does not exist. Finally, We ignore all fields from our result except for the name column (the one we are sure that exists, from table1).
While it may not be the most performant method possible in all cases, it should work in basically every database engine ever that attempts to implement ANSI 92 SQL
You can either do
SELECT name
FROM table2
WHERE name NOT IN
(SELECT name
FROM table1)
or
SELECT name
FROM table2
WHERE NOT EXISTS
(SELECT *
FROM table1
WHERE table1.name = table2.name)
See this question for 3 techniques to accomplish this
I don't have enough rep points to vote up froadie's answer. But I have to disagree with the comments on Kris's answer. The following answer:
SELECT name
FROM table2
WHERE name NOT IN
(SELECT name
FROM table1)
Is FAR more efficient in practice. I don't know why, but I'm running it against 800k+ records and the difference is tremendous with the advantage given to the 2nd answer posted above. Just my $0.02.
SELECT <column_list>
FROM TABLEA a
LEFTJOIN TABLEB b
ON a.Key = b.Key
WHERE b.Key IS NULL;
https://www.cloudways.com/blog/how-to-join-two-tables-mysql/
This is pure set theory which you can achieve with the minus operation.
select id, name from table1
minus
select id, name from table2
Here's what worked best for me.
SELECT *
FROM #T1
EXCEPT
SELECT a.*
FROM #T1 a
JOIN #T2 b ON a.ID = b.ID
This was more than twice as fast as any other method I tried.
Watch out for pitfalls. If the field Name in Table1 contain Nulls you are in for surprises.
Better is:
SELECT name
FROM table2
WHERE name NOT IN
(SELECT ISNULL(name ,'')
FROM table1)
You can use EXCEPT in mssql or MINUS in oracle, they are identical according to :
http://blog.sqlauthority.com/2008/08/07/sql-server-except-clause-in-sql-server-is-similar-to-minus-clause-in-oracle/
That work sharp for me
SELECT *
FROM [dbo].[table1] t1
LEFT JOIN [dbo].[table2] t2 ON t1.[t1_ID] = t2.[t2_ID]
WHERE t2.[t2_ID] IS NULL
You can use following query structure :
SELECT t1.name FROM table1 t1 JOIN table2 t2 ON t2.fk_id != t1.id;
table1 :
id
name
1
Amit
2
Sagar
table2 :
id
fk_id
email
1
1
amit#ma.com
Output:
name
Sagar
All the above queries are incredibly slow on big tables. A change of strategy is needed. Here there is the code I used for a DB of mine, you can transliterate changing the fields and table names.
This is the strategy: you create two implicit temporary tables and make a union of them.
The first temporary table comes from a selection of all the rows of the first original table the fields of which you wanna control that are NOT present in the second original table.
The second implicit temporary table contains all the rows of the two original tables that have a match on identical values of the column/field you wanna control.
The result of the union is a table that has more than one row with the same control field value in case there is a match for that value on the two original tables (one coming from the first select, the second coming from the second select) and just one row with the control column value in case of the value of the first original table not matching any value of the second original table.
You group and count. When the count is 1 there is not match and, finally, you select just the rows with the count equal to 1.
Seems not elegant, but it is orders of magnitude faster than all the above solutions.
IMPORTANT NOTE: enable the INDEX on the columns to be checked.
SELECT name, source, id
FROM
(
SELECT name, "active_ingredients" as source, active_ingredients.id as id
FROM active_ingredients
UNION ALL
SELECT active_ingredients.name as name, "UNII_database" as source, temp_active_ingredients_aliases.id as id
FROM active_ingredients
INNER JOIN temp_active_ingredients_aliases ON temp_active_ingredients_aliases.alias_name = active_ingredients.name
) tbl
GROUP BY name
HAVING count(*) = 1
ORDER BY name
See query:
SELECT * FROM Table1 WHERE
id NOT IN (SELECT
e.id
FROM
Table1 e
INNER JOIN
Table2 s ON e.id = s.id);
Conceptually would be: Fetching the matching records in subquery and then in main query fetching the records which are not in subquery.
First define alias of table like t1 and t2.
After that get record of second table.
After that match that record using where condition:
SELECT name FROM table2 as t2
WHERE NOT EXISTS (SELECT * FROM table1 as t1 WHERE t1.name = t2.name)
I'm going to repost (since I'm not cool enough yet to comment) in the correct answer....in case anyone else thought it needed better explaining.
SELECT temp_table_1.name
FROM original_table_1 temp_table_1
LEFT JOIN original_table_2 temp_table_2 ON temp_table_2.name = temp_table_1.name
WHERE temp_table_2.name IS NULL
And I've seen syntax in FROM needing commas between table names in mySQL but in sqlLite it seemed to prefer the space.
The bottom line is when you use bad variable names it leaves questions. My variables should make more sense. And someone should explain why we need a comma or no comma.
I tried all solutions above but they did not work in my case. The following query worked for me.
SELECT NAME
FROM table_1
WHERE NAME NOT IN
(SELECT a.NAME
FROM table_1 AS a
LEFT JOIN table_2 AS b
ON a.NAME = b.NAME
WHERE any further condition);
I have 3 different tables in db those are like tbl1, tbl2, tbl3
in these all table have one same columns 'direction'.
tbl1 contain one value either tbl2 or tbl3,
tbl2 contains one value tbl3.
How can I select the rows from tbl1 and tbl2 which contains direction like equal tbl3.
i also include my two table image in this image 2 columns name is same level_redir now i want which row that have value like hardening
enter image description hereenter image description here
please suggest me which query is good for getting row from two different tables in which table columns where dir_redirect = 'hardening'.
Since your question is not clear and you have not included all the table structure its bit difficult to figure out.
Let me help you with generic way
The following query we have joined all the 3 tables based on the common tables with are present in the respective tables. The following query select all the columns from all the 3 tables.
SELECT * FROM table1 AS t1
JOIN table2 AS t2 ON t1.matching_column = t2.matching_column
JOIN table3 as t3 ON t3.matching_column = t2.matching_column
WHERE t3.column_name = 'Condition';
You can select from specific tables by the following
SELECT t1.col1, t1.col2, t2.col1, t2.col2 FROM table1 AS t1
JOIN table2 AS t2 ON t1.matching_column = t2.matching_column
JOIN table3 as t3 ON t3.matching_column = t2.matching_column
WHERE t3.column_name = 'Condition';
I have two tables in my database. "A" table is the main table that stores user primary information and other table "B" stores if user wants to add some additional address onto their profile.
Structure of both tables(has common columns with exact same names) is as per below picture except some diff columns that are not shown in this pic
Now i want to display Address stored in Table A as well as in Table B
I used below queries but all these return only values from Table B
Query 1 :
Select t1.(star),t2.(star) from `b` t2 , `a` t1 WHERE t1.emailbc = ?;
Query 2 :
Select t1.(star),t2.(star) from `a` t1
INNER JOIN `b` t2 ON (a.emailbc=b.emailbc)
WHERE t1.emailbc = ?
I also tried NATURAL Join but that does not work either. Please let me know solution.
If you want to display all addresses in one column, but coming from both tables, you need to use a UNION. Try this:
SELECT *
FROM table1
WHERE emailbc = ?
UNION
SELECT *
FROM table2
WHERE emailbc = ?
Change your join query to the following.
Select t1.*,t2.* from `a` t1
INNER JOIN `b` t2 ON (t1.emailbc=t2.emailbc)
WHERE t1.emailbc = ?
i have two tables in a DB with the following structure:
table 1: 3 rows - category_id, product_id and position
table 2: 3 rows - category_id, product_id and position
i am trying to set table 1 position to table 2 position where category and product id is the same from the tables.
below is the sql i have tried to make this happen but returns MySQL error 1242 - subquery returns more then 1 row
UPDATE table1
SET position = (
SELECT position
FROM table2
WHERE table1.product_id = table2.product_id AND table1.category_id = table2.category_id
)
The solution is very simple and it can be done in two simple steps. The first step is just a preview of what will be changed, to avoid destroying data. It can be skipped if you are confident of your WHERE clause.
Step 1: preview the changes
Join the tables using the fields you want to match, select everything for visual validation of the match.
SELECT t1.*, t2.*
FROM table1 t1
INNER JOIN table2 t2
ON t1.category_id = t2.category_id
AND t1.product_id = t2.product_id
You can also add a WHERE clause if only some of the rows must be modified.
Step2: do the actual update
Replace the SELECT clause and the FROM keyword with UPDATE, add the SET clause where it belongs. Keep the WHERE clause:
UPDATE table1 t1
INNER JOIN table2 t2
ON t1.category_id = t2.category_id
AND t1.product_id = t2.product_id
SET t1.position = t2.position
That's all.
Technical considerations
Indexes on the columns used on the JOIN clause on both tables are a must when the tables have more than several hundred rows. If the query doesn't have WHERE conditions then MySQL will use indexes only for the biggest table. Indexes on the fields used on the WHERE condition will speed up the query. Prepend EXPLAIN to the SELECT query to check the execution plan and decide what indexes do you need.
You can add SORT BY and LIMIT to further reduce the set of changed rows using criteria that cannot be achieved using WHERE (for example, only the most recent/oldest 100 rows etc). Put them on the SELECT query first to validate the outcome then morph the SELECT into an UPDATE as described.
Of course, indexes on the columns used on the SORT BY clause are a must.
You can run this query to see what is happening:
SELECT product_id, category_id, count(*), min(position), max(position)
FROM table2
GROUP BY product_id, category_id
HAVING COUNT(*) > 1;
This will give you the list of product_id, category_id pairs that appear multiple times in table2. Then you can decide what to do. Do you want an arbitrary value of position? Is the value of position always the same? Do you need to fix the table?
It is easy enough to fix the particular problem by using limit 1 or an aggregation function. However, you may really need to fix the data in the table. A fix looks like:
UPDATE table1 t1
SET t1.position = (SELECT t2.position
FROM table2 t2
WHERE t2.product_id = t1.product_id AND t2.category_id = t1.category_id
LIMIT 1
);
i have spent the last 2 days going over this problem trying to work it out.
i have two tables
one is the user_login and it has a row called user_id the other is agedcare and it has a row called id
i have tried to get the 2 to link together
i want to be able to update the agedcare using the id from user_login as the main id
$query = "SELECT id FROM agedcare INNER JOIN user_id ON login_users = login_users.user_id WHERE login_users.user_id = '$id'"
The format is something more like..
SELECT id,name,age
FROM Table1
INNER JOIN Table2
ON Table1.Field=Table2.Field
Another way to simplify the select statement (so that you avoid using the table names throughout) is to "rename" the table right after you name it. For example, the line that has "FROM Table1 T1" - the T1 immediately after the table name is "renaming" the table allowing you to shorten the table name when you need to refer to it. In addition, you can use the t1 and t2 identifiers when selecting the fields.
SELECT t1.id,t1.name,t2.age
FROM Table1 T1
INNER JOIN Table2 T2
ON T1.Field=T2.Field
Check your format of join, it must be like this
SELECT * FROM t1 as a LEFT JOIN t2 as b ON a.id=b.id where user_id = 'id'