This is a discussion on How to speed up this "translation" query? within the Pgsql Performance forums, part of the PostgreSQL category; --> I need some expert advice on how to optimize a "translation" query (this word choice will become clear shortly, ...
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| I need some expert advice on how to optimize a "translation" query (this word choice will become clear shortly, I hope). Say I have a HUMONGOUS table of foreign language "translations" (call it TRANS) with records like these: meaning_id: 1 language_id: 5 translation: jidoosha meaning_id: 1 language_id: 2 translation: voiture meaning_id: 1 language_id: 5 translation: kuruma meaning_id: 2 language_id: 2 translation: chat meaning_id: 2 language_id: 5 translation: neko meaning_id: 2 language_id: 3 translation: katz meaning_id: 3 language_id: 4 translation: pesce meaning_id: 3 language_id: 2 translation: poisson meaning_id: 3 language_id: 5 translation: sakana For the sake of this description, let's assume that the records above are all the records in TRANS (though in fact the number of records in TRANS is really about ten million times greater). Now suppose I have a tiny table called INPUT consisting of single text field (say, word). E.g. suppose that INPUT looks like this: katz voiture pesce Now, let's fix a language_id, say 5. This is the "target" language_id. Given this target language_id, and this particular INPUT table, I want the results of the query to be something like this: neko jidoosha kuruma sakana I.e. for each word W in INPUT, the query must first find each record R in TRANS that has W as its translation field; then find each record Q in TRANS whose language_id is 5 (the target language_id) AND has the same meaning_id as R does. E.g. if W is 'katz', then R is meaning_id: 2 language_id: 3 translation: katz and therefore the desired Q is meaning_id: 2 language_id: 5 translation: neko ....and so on. The only difficulty here is that performance is critical, and in real life, TRANS has around 50M records (and growing), while INPUT has typically between 500 and 1000 records. Any advice on how to make this as fast as possible would be much appreciated. Thanks! G. P.S. Just to show that this post is not just from a college student trying to get around doing homework, below I post my most successful query so far. It works, but it's performance isn't great. And it is annoyingly complex, to boot; I'm very much the SQL noob, and if nothing else, at least I'd like to learn to write "better" (i.e. more elegant, more legible, more clueful) SQL that this: SELECT q3.translation, q2.otherstuff FROM ( SELECT INPUT.word, q1.meaning_id, INPUT.otherstuff FROM INPUT INNER JOIN ( SELECT translation, meaning_id FROM TRANS WHERE translation IN (SELECT word FROM INPUT) ) AS q1 ON INPUT.word = q1.translation ) AS q2 LEFT JOIN ( SELECT translation, meaning_id FROM TRANS WHERE language_id=5 ) AS q3 ON q2.meaning_id=q3.meaning_id; As you can see, there are additional fields that I didn't mention in my original description (e.g. INPUT.otherstuff). Also the above is actually a subquery in a larger query, but it is by far, the worst bottleneck. Last, there's an index on TRANS(translation). |
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| On 1 aug 2006, at 20.09, tlm wrote: > SELECT q3.translation, q2.otherstuff > FROM > ( > SELECT INPUT.word, q1.meaning_id, INPUT.otherstuff > FROM > INPUT > INNER JOIN > ( > SELECT translation, meaning_id > FROM TRANS > WHERE translation IN (SELECT word FROM INPUT) > ) AS q1 > ON INPUT.word = q1.translation > ) AS q2 > LEFT JOIN > ( > SELECT translation, meaning_id > FROM TRANS > WHERE language_id=5 > ) AS q3 > ON q2.meaning_id=q3.meaning_id; Maybe I'm not following you properly, but I think you've made things a little bit more complicated than they need to be. The nested sub- selects look a little nasty. Now, you didn't provide any explain output but I think the following SQL will achieve the same result, and hopefully produce a better plan: SELECT t2.translation, i.otherstuff FROM input i INNER JOIN trans t ON i.word=t.translation INNER JOIN trans t2 ON t.meaning_id=t2.meaning_id WHERE t2.language_id=5; The query will also benefit from indices on trans.meaning_id and trans.language_id. Also make sure the tables are vacuumed and analyzed, to allow the planner to make good estimates. Sincerely, Niklas Johansson ---------------------------(end of broadcast)--------------------------- TIP 5: don't forget to increase your free space map settings |