I can not understand what problem this library solves ? Why to write SQL in Clojure and translate it back to SQL ?
Examples on website are quite simplistic. They are far away from real life SQL queries that usually bigger and more complex (not select and join couple of tables). What about "group by", joining 5 or 8 tables etc.? How you are supposed to prototype and test your queries on existing schema (there are many good graphical clients for many RDBMSes)? There are many questions remaining unanswered.
At least Clojre-QL do not try to fit a square peg into round hole like Hibernate. Personally I liked Hibernate for some period, until I sat down and learned to use SQL.
I read the article. The guy claims that SQL is hard -- yes it is hard for real life cases and there are limitations imposed by underlying theory (relational algebra). Joining the table with itself may be little mind-blowing when you do it first time. It still does not mean that we need to write queries in different language and translate them back to SQL.
A simple question is "how the hell you use prepared statements with such libraries"? And the answer will be is that the FRAMEWORK need to be extended further in order to support them. In other words once you abandon SQL you will never have the same flexibility that it gives, because of artificial constraints imposed by every framework. And your code will become more and more complex because of all these frameworks that are invented not of the real need but as an programming exercise.
I am not against new ways of querying RDBMSes but until today SQL seems the most simplest and clean way to do it. Most realistic solution will be not to abstract SQL but develop a new query language for relational datasources (on same level with SQL).
I am pro abstractions that simplify things (like TCP) and against naive abstractions ignoring the basic aims of layers under. TCP simplifies things, Clojure-QL complicates them.
PS: The article that you suggested is written by a guy that tend to speculate over his point of view without taking in account the reality. In all modern RDBMSes queries having (a=b and a=c and b=c) will be simplified by query planners (Oracle and Postrgre do it) so there will not be any difference in performance.
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Clojure code is Clojure data. So, these SQL statements are really just nested lists.
Instead of writing an ad-hoc SQL parser and doing string manipulation, you can write relatively simple Clojure functions to manipulate these lists and generate valid SQL.
1. Why to write an ad-hoc sql parser in Clojure. The result of query is a JDBC ResultSet (on JVM). You may define some functions that transform rows from ResultSet to Clojure terms in order to make your code shorter.
2. They are not simple functions. Compare this :
(-> (select (table {} {:employees :p})(where (= :name "John")))(join (table {} {:employees :b})(where (= :p.manager :b.id)))to-sql)
to this :
SELECT p.,b. FROM employees p JOIN employees b ON (p.manager = b.id) WHERE (name = 'John')
Which one is more verbose ?
EDIT: SQL examples with "employees" and "departmets" are very misleading and usually oversimplify the reality.
Note that my queries just keep getting smaller and smaller ;) By writing the mundane portions of your SQL queries again and again by hand you will have more duplication.
Yes I agree. But, I believe that it is just a perversion. In any project that involves RDBMS writing queries is just a small part of development. Surely you could modify queries with Clojure-QL (with SQL it will be a suicide) but what you gain from it ??? (more free time - I don't think so).
Furthermore, having such dynamic "meta-"things in your code, eventually will cost you more time in debugging it.
With SQL it is straight-forward: you prototype your query using some GUI client and then you just embed it in your program. How it can be done with Clojure-QL ?
but that isn't the point. the point is composabilty. you can take 8 simple functions (select, project, join, rename, aggregate, take, drop, sort) and build any query you want. these queries can be passed around your code, reused, modified, and refined, in a way that plain SQL strings cannot.
ClojureQL forms are composable abstractions. One can let a clojureql query, execute it, do x with the results, add a where clause and get back another set of results-- all without any code repetition.
I've been looking for something similar to this! Having just learned of Relational Algebra in class I've always wondered why we went with a more difficult to understand abstraction of SQL.
I wrote my web app DB access in pure SQL and I'm thinking if its worth a rewrite with something like this. Initially I thought I could "abstract" SQL with a few functions of mine, but that was very short-sighted thinking.
I've been waiting for this rewrite! By the looks of this page, you've done a fine job. Excellent work team ClojureQL! I'm looking forward to giving it a test run.
Is there a way to tell it to use different syntax for take/drop for databases (like Sybase) that use the "select top X * from foo" syntax rather than "select * from foo limit X"?
A new version of oyako is coming soon-ish (within a week or two) with possible mysql support, but it will always focus primarily on postgresql. The next version will also feature an SQL DSL similar to ClojureQL but less fancy / magical. (ClojureQL looks pretty cool itself though.)
In my brief experience, the idea of a cross-database SQL DSL is a lost cause unless you want to limit yourself to a very small subset of SQL. Funny, for a language that supposedly has a standard.
Examples on website are quite simplistic. They are far away from real life SQL queries that usually bigger and more complex (not select and join couple of tables). What about "group by", joining 5 or 8 tables etc.? How you are supposed to prototype and test your queries on existing schema (there are many good graphical clients for many RDBMSes)? There are many questions remaining unanswered.
At least Clojre-QL do not try to fit a square peg into round hole like Hibernate. Personally I liked Hibernate for some period, until I sat down and learned to use SQL.