In this query:
SELECT *
FROM general_settings AS general_settings
JOIN settings_attribute AS settings_attribute ON settings_attribute.id = general_settings.settings_attribute_id
JOIN user_settings AS user_settings ON general_settings.user_settings_id = user_settings.id
WHERE
(settings_attribute.name = 'AAA' AND brand_settings.AAA <> general_settings.value)
OR
(settings_attribute.name = 'BBB' AND brand_settings.BBB <> general_settings.value)
OR
(settings_attribute.name = 'CCC' AND brand_settings.CCC <> general_settings.value)
;
I want a way using MySQL or Redshift to use settings_attribute.name as column name to avoid writing all the attribute names as a static in the query,
for example like this:
SELECT *
FROM general_settings AS general_settings
JOIN settings_attribute AS settings_attribute ON settings_attribute.id = general_settings.settings_attribute_id
JOIN user_settings AS user_settings ON general_settings.user_settings_id = user_settings.id
WHERE
brand_settings.#settings_attribute.name <> general_settings.value
;
No, this is not possible. In SQL, all identifiers (e.g. column names) must be explicit and fixed in the query at the time it is parsed, so the SQL engine can verify that the columns actually exist before it begins executing. It's not possible for a query to name different columns based on the string values it reads during execution.
What would happen if your settings_attribute.name contained 'XYZ' in some row, but there was no column by that name? It would be an error if you named a column that didn't exist, but in SQL that is checked at the time the query is parsed.
Related
Please help me to write correct query for a few tables. I need to replace all id here from another table
api json
I am trying to make query like this
SELECT incident.`number`, `user`.first_name, (SELECT `user`.first_name from ITSM.`user` JOIN incident on `user`.sys_id = incident.id_created_by) as createdby
from ITSM.incident
JOIN ITSM.`user` on incident.id_caller = `user`.sys_id
;*
but it doesn#t work, I got an error: Subquery returns more than 1 row
How can i make a right query?
This one doesn't work also, same error:
SELECT incident.`number`, (SELECT user.first_name from ITSM.`user`, ITSM.incident WHERE user.sys_id = incident.id_created_by) as createdby
from ITSM.incident
JOIN ITSM.`user` on incident.id_caller = user.sys_id*
;
and this is my
DB id for user who created
You don't need a subquery. Just refer to the source table of each column in the select clause, here if you need 2 joins to the same table give these an alias and refer to the columns using that alias.
SELECT incident.`number`
, caller.first_name as caller_name
, creator.first_name AS createdby
FROM ITSM.incident
JOIN ITSM.`user` AS caller ON incident.id_caller = caller.sys_id
JOIN ITSM.`user` AS creator ON incident.id_created_by = creator.sys_id
Nb. I'm assuming your join logic is correct
I have 3 tables that I am using and need to make a query to return data from one table based on the value of a single column in the second table.
tbl_user
ID
login
pass
active
mscID
tbl_master
ID
name
training_date
MSCUnit
Active
tbl_msc
mscID
mscName
my current SQL statement:
SELECT
tbl_master.ID,
tbl_master.name,
tbl_master.training_date,
tbl_master.MSCUnit,
tbl_master.active,
tbl_user.mscID
FROM
tbl_master,
tbl_user
WHERE
tbl_master.active = 1 AND tbl_master.MSCUnit = tbl_user.mscID
The values stored in tbl_msc.mscID is a varchar(11) and it contains a string similar to A00 or A19. This is also the Primary key in the table.
The values stored in tbl_user.mscID matches that of tbl_msc.mscID. The values stored in tbl_master.UnitMSC also matches that of tbl_msc.mscID.
My goal is to return all records from tbl_master where the currently logged in user has the same mscID. The problem I am having is the statement returns all records in tbl_master.
I have tried several different join statements and for some reason, I cannot get this to filter correctly.
I am missing something. Any assistance in the SQL statement would be appreciated.
Thanks,
Will
You should be writing this using joins. I don't know how you know who the current user is, but the idea is to join the three tables together:
SELECT m.ID, m.name, m.training_date, m.MSCUnit, m.active,
u.mscID
FROM tbl_master m JOIN
tbl_user u
ON m.MSCUnit = u.mscID JOIN
tbl_msc msc
ON msc.mscID = u.msc_ID
WHERE m.active = 1 AND msc.mscName = ?;
Notice the use of proper, explicit, standard JOIN syntax and table aliases.
Select a.*, b.userid from
table_master a, table_user b where
a.mscunit in (select mscid from
table_user where active=1)
This should point you in the right direction.
I want to loop through some records and update them with an ad hoc query in MySql. I have a name field, so I just want to loop though all of them and append a counter to each name, so it will be name1, name2, name3. Most examples I see use stored procs, but I don't need a stored proc.
As a stepping stone on your way to developing an UPDATE statement, first generate a SELECT statement that generates the new name values to your liking. For example:
SELECT t.id
, t.name
, CONCAT(t.name,s.seq) AS new_name
FROM ( SELECT #i := #i + 1 AS seq
, m.id
FROM mytable m
JOIN (SELECT #i := 0) i
ORDER BY m.id
) s
JOIN mytable t
ON t.id = s.id
ORDER BY t.id
To unpack that a bit... the #i is a MySQL user variable. We use an inline view (aliased as i) to initialize #i to a value of 0. This inline view is joined to the table to be updated, and each row gets assigned an ascending integer value (aliased as seq) 1,2,3...
We also retrieve a primary (or unique) key value, so that we can match each of the rows from the inline view (one-to-one) to the table to be updated.
It's important that you understand how that statement is working, before you attempt writing an UPDATE statement following the same pattern.
We can now use that SELECT statement as an inline view in an UPDATE statement, for example:
UPDATE ( SELECT t.id
, t.name
, CONCAT(t.name,s.seq) AS new_name
FROM ( SELECT #i := #i + 1 AS seq
, m.id
FROM mytable m
JOIN (SELECT #i := 0) i
ORDER BY m.id
) s
JOIN mytable t
ON t.id = s.id
ORDER BY t.id
) r
JOIN mytable u
ON u.id = r.id
SET u.name = r.new_name
SQL Fiddle demonstration here:
http://sqlfiddle.com/#!2/a8796/1
I had to extrapolate, and provide a table name (mytable) and a column name for a primary key column (id).
In the SQL Fiddle, there's a second table, named prodtable which is identical to mytable. SQL Fiddle only allows SELECT in the query pane, so in order to demonstrate BOTH the SELECT and the UPDATE, I needed two identical tables.
CAVEAT: be VERY careful in using MySQL user variables. I typically use them only in SELECT statements, where the behavior is very consistent, with careful coding. With DML statements, it gets more dicey. The behavior may not be as consistent in DML, the "trick" is to use a SELECT statement as an inline view. MySQL (v5.1 and v5.5) will process the query for the inline view and materialize the resultset as a temporary MyISAM table.
I have successfully used this technique to assign values in an UPDATE statement. But (IMPORTANT NOTE) the MySQL documentation does NOT specify that this usage or MySQL user variables is supported, or guaranteed, or that this behavior will not change in a future release.
Have the names stored in a table. Do a join against the names and update in the second table you want to.
Thanks
As my application is expanding, I now am changing the structure of my database; I now want to control file types within the database. I wanted to start with the current file types already in the database. My Database now has a [simplified] 2 table structure like:
tbFiles: pkFileID, fileType, fileName
tblFileType: pkFileType, typeName, typeDesc
I am trying to have the output of a SELECT query update into the newly created tblFileType table. I have tried among other things:
UPDATE tblFileType
INNER JOIN
(SELECT DISTINCT fileType FROM tblFiles) as X
SET typeName = fileType
but I always seem to get 0 row(s) affected.
When I run
SELECT DISTINCT fileType
FROM `tblFiles`
I get Showing rows 0 - 22 (~23 total, Query took 0.0074 sec)
I know this must be simple, but why is the UPDATE query not affecting 23 rows?
You need to add a JOIN condition like ON t1.fileType = x.fileType as follows:
UPDATE tblFileType t1
INNER JOIN
(
SELECT DISTINCT fileType
FROM tblFiles
)as X ON t1.fileType = x.fileType
SET t1.typeName = X.fileType
Update: Since the table tblFileType is blank, you will need to use INSERT something like:
INSERT INTO tblFileType(typeName )
SELECT DISTINCT fileType
FROM tblFiles
WHERE -- a condition here
you just want to populate the table - not update anything in there (especially since nothing exists yet)
INSERT INTO tblFileType(typeName )
SELECT DISTINCT fileType FROM tblFiles
I have 2 tables: tbl_taxclasses, tbl_taxclasses_regions
This is a one to many relationship, where the main record ID is classid.
I have a column inside the first table called regionscount
So, I create a Tax Class, in table 1. Then I add regions/states in table 2, assigning the classid to each region.
I perform a SELECT statement to count the regions with that same classid, and then I perform an UPDATE statement on tbl_taxclasses with that number. I update the regionscount column.
This means I'm writing 2 queries. Which is fine, but I was wondering if there was a way to do a SELECT statement inside the UPDATE statement, like this:
UPDATE `tbl_taxclasses` SET `regionscount` = [SELECT COUNT(regionsid) FROM `tbl_taxclasses_regions` WHERE classid = 1] WHERE classid = 1
I'm reaching here, since I'm not sure how robust MySQL is, but I do have the latest version, as of today. (5.5.15)
You could use a non-correlated subquery to do the work for you:
UPDATE
tbl_taxclasses c
INNER JOIN (
SELECT
COUNT(regionsid) AS n
FROM
tbl_taxclasses_regions
GROUP BY
classid
) r USING(classid)
SET
c.regionscount = r.n
WHERE
c.classid = 1
Turns out I was actually guessing right.
This works:
UPDATE `tbl_taxclasses`
SET `regionscount` = (
SELECT COUNT(regionsid) AS `num`
FROM `tbl_taxclasses_regions`
WHERE classid = 1)
WHERE classid = 1 LIMIT 1
I just needed to replace my brackets [] with parenthesis ().