Re: Need help: Find dirty rows, Update, Delete SQL

From: Patrick JACQUOT <patrick(dot)jacquot(at)anpe(dot)fr>
To: Janning Vygen <vygen(at)gmx(dot)de>
Cc: pgsql-sql(at)postgresql(dot)org, ogjunk-pgjedan(at)yahoo(dot)com
Subject: Re: Need help: Find dirty rows, Update, Delete SQL
Date: 2006-02-20 11:24:32
Message-ID: 43F9A6F0.7030701@anpe.fr
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Janning Vygen wrote:

>Am Samstag, 18. Februar 2006 18:41 schrieb ogjunk-pgjedan(at)yahoo(dot)com:
>
>
>>Hello,
>>
>>I need a bit of help with some SQL.
>>I have two tables, call them Page and Bookmark.
>>Each row in Page can have many Bookmarks pointing to it, and
>>they are joined via a FK (Page.id = Bookmark.page_id).
>>
>>Page has a 'url' column: Page.url, which has a unique index on it.
>>
>>My Page.url column got a little dirty, and I need to clean it up,
>>and that's what I need help with.
>>
>>Here is an example of dirtiness:
>>
>>Page:
>>
>>id=1 url = 'http://example.com/'
>>id=2 url = 'http://example.com/#' -- dirty
>>id=3 url = 'http://example.com/#foo' -- dirty
>>
>>The last two rows are dirty. Normally I normalize URLs before
>>inserting them, but these got in, and now I need to clean them.
>>
>>The problem is that rows in Bookmark table may point to dirty
>>rows in Page, so I can't just remove the dirty rows, and I can't
>>just update 'url' column in Page to 'http://example.com/',
>>because that column is unique.
>>
>>Is there some fancy SQL that I can use them to find the dirty
>>rows in page (... where url like '%#%') and then find rows in
>>Bookmark table that point to them, then point those rows to
>>good rows in Page (e.g. id=1 row above), and finally remove the
>>dirty rows from Page?
>>
>>
>
>try this. But please check if it really does its job. I just wrote it down in
>a minute or two. There will be an easier way or nicer written SQL but a sit
>is just a one time operation you shoudn't care too much. One more hint: you
>should add a CHECK clause to your page_url like "page_url text NOT NULL
>UNIQUE CHECK (page_url !~ '#')"
>
>here is my test code
>
>CREATE TABLE pages (
> page_id SERIAL PRIMARY KEY,
> page_url text NOT NULL UNIQUE
>);
>
>CREATE TABLE bookmarks (
> bm_id SERIAL PRIMARY KEY,
> bm_text text not null,
> page_id int4 NOT NULL REFERENCES pages (page_id)
>);
>
>INSERT INTO pages (page_url) VALUES ('http://example.com/');
>INSERT INTO pages (page_url) VALUES ('http://example.com/#');
>INSERT INTO pages (page_url) VALUES ('http://example.com/#foo');
>INSERT INTO pages (page_url) VALUES ('http://example2.com/#foo');
>INSERT INTO pages (page_url) VALUES ('http://example3.com/#foobar');
>
>insert into bookmarks (bm_text, page_id) values ('test1', 1);
>insert into bookmarks (bm_text, page_id) values ('test2', 1);
>insert into bookmarks (bm_text, page_id) values ('test3', 2);
>insert into bookmarks (bm_text, page_id) values ('test4', 2);
>insert into bookmarks (bm_text, page_id) values ('test5', 3);
>insert into bookmarks (bm_text, page_id) values ('test6', 3);
>insert into bookmarks (bm_text, page_id) values ('test7', 4);
>
>BEGIN;
>UPDATE bookmarks set page_id = pages2.page_id
>FROM
> pages AS pages1,
> pages AS pages2
>WHERE
> pages1.page_id = bookmarks.page_id
> AND pages2.page_url = split_part(pages1.page_url, '#', 1)
>;
>
>DELETE FROM pages WHERE page_id IN (
> SELECT
> pages1.page_id
> FROM
> pages AS pages1
> JOIN pages AS pages2 ON (
> pages1.page_id != pages2.page_id
> AND pages2.page_url = split_part(pages1.page_url, '#', 1)
> )
> WHERE position('#' in pages1.page_url) > 0
> AND pages1.page_id NOT IN (SELECT page_id FROM bookmarks)
>);
>;
>
>UPDATE pages SET page_url = split_part(page_url, '#', 1)
>WHERE position('#' in pages.page_url) > 0
>;
>select * from bookmarks;
>select * from pages;
>COMMIT;
>
>
>kind regards,
>janning
>
>---------------------------(end of broadcast)---------------------------
>TIP 3: Have you checked our extensive FAQ?
>
> http://www.postgresql.org/docs/faq
>
>
>
why do you consider as dirty perfectly honest URLs as
http://example.com#foo ?
Such a construct points to a specific part (foo) of a specific document
(http://example.com)

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