I have a table with a set column that contains 2 languages and another column on this table containing an order.
Is it possible migrate my table and to create a record in a new table for each set item with a MySQL query?
Directly migrating records works with records that have a set column without a language combination. But if a record would contain a set of languages I am left with one record with an empty column for language. I would preferably want 2 new records inserted into my fresh table.
One for each language in the set.
INSERT INTO newtable (
newtable.oldtable_id,
newtable.language,
newtable.order
)
SELECT oldtable.id, oldtable.languages, oldtable.order
FROM oldtable
WHERE oldtable.order IS NOT NULL;
I doubt it is possible but I would still like to know if somebody might have a workaround for this since I need to migrate the data somehow.
Create a helper table with one field that lists all languages that can be in the set column. The table can be a temporary one that you drop after the migration. Then create an insert ... select ... statement in which you join the source table on the helper table using MySQL's find_in_set() function:
INSERT INTO newtable (
newtable.oldtable_id,
newtable.language,
newtable.order
)
SELECT oldtable.id, helpertable.language, oldtable.order
FROM oldtable inner join helpertable ON find_in_set(helpertable.language, oldtable.languages)>0;
I'm trying to create a mysql table from the inner join between two other tables. I'm dealing with a database someone creates which has the following tables:
sitematrix_sites
sitematrix_databases
They are related by another table (I don't know why don't use a foreign key) called sitematrix_sites_databases which has the following fields:
site_id and database_id.
That's how the two tables relate. Now I'm trying to remove that to make my life easier, so I have:
mysql> CREATE TABLE result AS(select * from sitematrix_databases INNER JOIN site
matrix_site_databases ON sitematrix_site_databases.database_id = sitematrix_data
bases.database_id);
ERROR 1060 (42S21): Duplicate column name 'database_id'
However, I'm getting that error. Does someone know how can I merge the two tables without repeating the database_id field?
Thanks
Remove the * in your SELECT statement and actually list out the columns you want in your new table. For columns that appear in both original tables, name the table as well (e.g. sitematrix_databases.database_id).
Don't use * instead name each column and use aliases. For instance instead of sitematrix_database.database_id you can have alternativeName. Also you can pick and choose which columns you want this way as well.
In SQL Server, you can use "select into". This might be equivalent syntax for mySql:
http://dev.mysql.com/doc/refman/5.0/en/ansi-diff-select-into-table.html
Unfortunately, it's a two commands (not just one):
http://www.tech-recipes.com/rx/1487/copy-an-existing-mysql-table-to-a-new-table/
CREATE TABLE recipes_new LIKE production.recipes; INSERT recipes_new SELECT * FROM production.recipes;
Instead of using SELECT * ... try SELECT database_id ...
MySQL does not like joining tables that have the same column name.
I have a column in one of my table where I store multiple ids seperated by comma's.
Is there a way in which I can use this column's value in the "IN" clause of a query.
The column(city) has values like 6,7,8,16,21,2
I need to use as
select * from table where e_ID in (Select city from locations where e_Id=?)
I am satisfied with Crozin's answer, but I am open to suggestions, views and options.
Feel free to share your views.
Building on the FIND_IN_SET() example from #Jeremy Smith, you can do it with a join so you don't have to run a subquery.
SELECT * FROM table t
JOIN locations l ON FIND_IN_SET(t.e_ID, l.city) > 0
WHERE l.e_ID = ?
This is known to perform very poorly, since it has to do table-scans, evaluating the FIND_IN_SET() function for every combination of rows in table and locations. It cannot make use of an index, and there's no way to improve it.
I know you said you are trying to make the best of a bad database design, but you must understand just how drastically bad this is.
Explanation: Suppose I were to ask you to look up everyone in a telephone book whose first, middle, or last initial is "J." There's no way the sorted order of the book helps in this case, since you have to scan every single page anyway.
The LIKE solution given by #fthiella has a similar problem with regards to performance. It cannot be indexed.
Also see my answer to Is storing a delimited list in a database column really that bad? for other pitfalls of this way of storing denormalized data.
If you can create a supplementary table to store an index, you can map the locations to each entry in the city list:
CREATE TABLE location2city (
location INT,
city INT,
PRIMARY KEY (location, city)
);
Assuming you have a lookup table for all possible cities (not just those mentioned in the table) you can bear the inefficiency one time to produce the mapping:
INSERT INTO location2city (location, city)
SELECT l.e_ID, c.e_ID FROM cities c JOIN locations l
ON FIND_IN_SET(c.e_ID, l.city) > 0;
Now you can run a much more efficient query to find entries in your table:
SELECT * FROM location2city l
JOIN table t ON t.e_ID = l.city
WHERE l.e_ID = ?;
This can make use of an index. Now you just need to take care that any INSERT/UPDATE/DELETE of rows in locations also inserts the corresponding mapping rows in location2city.
From MySQL's point of view you're not storing multiple ids separated by comma - you're storing a text value, which has the exact same meaing as "Hello World" or "I like cakes!" - i.e. it doesn't have any meaing.
What you have to do is to create a separated table that will link two objects from the database together. Read more about many-to-many or one-to-many (depending on your requirements) relationships in SQL-based databases.
Rather than use IN on your query, use FIND_IN_SET (docs):
SELECT * FROM table
WHERE 0 < FIND_IN_SET(e_ID, (
SELECT city FROM locations WHERE e_ID=?))
The usual caveats about first form normalization apply (the database shouldn't store multiple values in a single column), but if you're stuck with it, then the above statement should help.
This does not use IN clause, but it should do what you need:
Select *
from table
where
CONCAT(',', (Select city from locations where e_Id=?), ',')
LIKE
CONCAT('%,', e_ID, ',%')
but you have to make sure that e_ID does not contain any commas or any jolly character.
e.g.
CONCAT(',', '6,7,8,16,21,2', ',') returns ',6,7,8,16,21,2,'
e_ID=1 --> ',6,7,8,16,21,2,' LIKE '%,1,%' ? FALSE
e_ID=6 --> ',6,7,8,16,21,2,' LIKE '%,6,%' ? TRUE
e_ID=21 --> ',6,7,8,16,21,2,' LIKE '%,21,%' ? TRUE
e_ID=2 --> ',6,7,8,16,21,2,' LIKE '%,2,%' ? TRUE
e_ID=3 --> ',6,7,8,16,21,2,' LIKE '%,3,%' ? FALSE
etc.
Don't know if this is what you want to accomplish. With MySQL there is feature to concatenate values from a group GROUP_CONCAT
You can try something like this:
select * from table where e_ID in (Select GROUP_CONCAT(city SEPARATOR ',') from locations where e_Id=?)
this one in for oracle ..here string concatenation is done by wm_concat
select * from table where e_ID in (Select wm_concat(city) from locations where e_Id=?)
yes i agree with raheel shan .. in order put this "in" clause we need to make that column into row below code one do that job.
select * from table where to_char(e_ID)
in (
select substr(city,instr(city,',',1,rownum)+1,instr(city,',',1,rownum+1)-instr(city,',',1,rownum)-1) from
(
select ','||WM_CONCAT(city)||',' city,length(WM_CONCAT(city))-length(replace(WM_CONCAT(city),','))+1 CNT from locations where e_Id=? ) TST
,ALL_OBJECTS OBJ where TST.CNT>=rownum
) ;
you should use
FIND_IN_SET Returns position of value in string of comma-separated values
mysql> SELECT FIND_IN_SET('b','a,b,c,d');
-> 2
You need to "SPLIT" the city column values. It will be like:
SELECT *
FROM table
WHERE e_ID IN (SELECT TO_NUMBER(
SPLIT_STR(city /*string*/
, ',' /*delimiter*/
, 1 /*start_position*/
)
)
FROM locations);
You can read more about the MySQL split_str function here: http://blog.fedecarg.com/2009/02/22/mysql-split-string-function/
Also, I have used the TO_NUMBER function of Oracle here. Please replace it with a proper MySQL function.
IN takes rows so taking comma seperated column for search will not do what you want but if you provide data like this ('1','2','3') this will work but you can not save data like this in your field whatever you insert in the column it will take the whole thing as a string.
You can create a prepared statement dynamically like this
set #sql = concat('select * from city where city_id in (',
(select cities from location where location_id = 3),
')');
prepare in_stmt from #sql;
execute in_stmt;
deallocate prepare in_stmt;
Ref: Use a comma-separated string in an IN () in MySQL
Recently I faced the same problem and this is how I resolved it.
It worked for me, hope this is what you were looking for.
select * from table_name t where (select (CONCAT(',',(Select city from locations l where l.e_Id=?),',')) as city_string) LIKE CONCAT('%,',t.e_ID,',%');
Example: It will look like this
select * from table_name t where ',6,7,8,16,21,2,' LIKE '%,2,%';
Lets say I have a table tilistings with a dozen columns, and about 2,000 rows there is one column cityname that has probably 50 different values in it. What I want to do, is search through the tilistings and create another table that just contains the 50 different values from cityname without duplicating any names....basically if cityname had the values a,b,a,c,b,b,d,a,a,d,d,c I would only want the new table to contain a,b,c. Is there a pre-built MySQL function to do so? Otherwise, just point me in the right direction to do this with PHP. I can create the table, just looking to populate it.
Or do it all in SQL, if you already have created a table named cities with a single column cityname:
INSERT INTO `cities` (`cityname`)
SELECT DISTINCT `cityname` FROM `tilistings`;
Or crate the table from the SELECT:
CREATE TABLE `cities`
SELECT DISTINCT `cityname` FROM `tilistings`;
You can get the unique city names by performing the following query:
SELECT DISTINCT cityname FROM tilistings
Then loop through those and INSERT them into your new table with PHP or INSERT INTO ... SELECT.