Basically, there is an attribute table and translation table - many translations for one attribute.
I need to select id and value from translation for each attribute in a specified language, even if there is no translation record in that language. Either I am missing some join technique or join (without involving language table) is not working here since the following do not return attributes with non-existing translations in the specified language.
select a.attribute, at.id, at.translation from attribute a left join attributeTranslation at on a.id=at.attribute where al.language=1;
So I am using subqueries like this, problem here is making two subqueries to the same table with the same parameters (feels like performance drain unless MySQL groups those, which I doubt since it makes you do many similar subqueries)
select attribute, (select id from attributeTranslation where attribute=a.id and language=1), (select translation from attributeTranslation where attribute=a.id and language=1), from attribute a;
I would like to be able to get id and translation from one query, so I concat columns and get the id from string later, which is at least making single subquery but still not looking right.
select attribute, (select concat(id,';',title) from offerAttribute_language where offerAttribute=a.id and _language=1 ) from offerAttribute a
So the question part. Is there a way to get multiple columns from a single subquery or should I use two subqueries (MySQL is smart enough to group them?) or is joining the following way to go:
[[attribute to language] to translation] (joining 3 tables seems like a worse performance than subquery).
If you want compare two or more columns. you must write a compound WHERE clause using logical operators Multiple-column subqueries enable you to combine duplicate WHERE conditions into a single WHERE clause.
Yes, you can do this. The knack you need is the concept that there are two ways of getting tables out of the table server.
Multiple-column subqueries enable you to combine duplicate WHERE conditions into a single WHERE clause. Display the order id, product id, and quantity of items in the item table that match both the product id and quantity of an item in order 605.
To select multiple columns from a table, simply separate the column names with commas! For example, this query selects two columns, name and birthdate , from the people table: SELECT name, birthdate FROM people; Sometimes, you may want to select all columns from a table.
Yes, you can do this. The knack you need is the concept that there are two ways of getting tables out of the table server. One way is ..
FROM TABLE A
The other way is
FROM (SELECT col as name1, col2 as name2 FROM ...) B
Notice that the select clause and the parentheses around it are a table, a virtual table.
So, using your second code example (I am guessing at the columns you are hoping to retrieve here):
SELECT a.attr, b.id, b.trans, b.lang FROM attribute a JOIN ( SELECT at.id AS id, at.translation AS trans, at.language AS lang, a.attribute FROM attributeTranslation at ) b ON (a.id = b.attribute AND b.lang = 1)
Notice that your real table attribute
is the first table in this join, and that this virtual table I've called b
is the second table.
This technique comes in especially handy when the virtual table is a summary table of some kind. e.g.
SELECT a.attr, b.id, b.trans, b.lang, c.langcount FROM attribute a JOIN ( SELECT at.id AS id, at.translation AS trans, at.language AS lang, at.attribute FROM attributeTranslation at ) b ON (a.id = b.attribute AND b.lang = 1) JOIN ( SELECT count(*) AS langcount, at.attribute FROM attributeTranslation at GROUP BY at.attribute ) c ON (a.id = c.attribute)
See how that goes? You've generated a virtual table c
containing two columns, joined it to the other two, used one of the columns for the ON
clause, and returned the other as a column in your result set.
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