Archive for March, 2009
Matching whole sets
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From Stack Overflow:
Given the following:
declare @a table ( pkid int, value int ) declare @b table ( otherID int, value int ) insert into @a values (1, 1000) insert into @a values (1, 1001) insert into @a values (2, 1000) insert into @a values (2, 1001) insert into @a values (2, 1002) insert into @b values (-1, 1000) insert into @b values (-1, 1001) insert into @b values (-1, 1002), how do I query for all the values in
@a
that completely match up with@b
?
{@a.pkid = 1, @b.otherID = -1}
would not be returned (only 2 of 3 values match)
{@a.pkid = 2, @b.otherID = -1}
would be returned (3 of 3 values match)
We need to compare each set of values from @a
to each set of @b
and return the id
's of non-matching sets.
Two sets are considered matching when for each row from the first set there is an equal row from the second set and vise versa. That is, both the values and the count of the rows should match in both sets.
First thing that comes to mind is to calculate COUNT(*)
's of both sets, then calculate the COUNT(*)
for the result of both sets joined on value
and make sure all three are equal.
But we don't actually need to COUNT(*)
all values. We just need to find out the first row from either of the subsets that has no match in another subset. As soon as we find such a row, we can tell that the sets don't match; if we don't find one, then the sets do match.
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Sorting lists: deleting blocks
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This is article 6 of 6 on linked lists in MySQL:
- Sorting lists
- Sorting lists: moving items
- Sorting lists: adding items
- Sorting lists: deleting items
- Sorting lists: moving blocks
- Sorting lists: deleting blocks
Now, let's see how can we delete a whole block of items.
The procedure that deletes a block looks like this:
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Sorting lists: moving blocks
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This is article 5 of 6 on linked lists in MySQL:
- Sorting lists
- Sorting lists: moving items
- Sorting lists: adding items
- Sorting lists: deleting items
- Sorting lists: moving blocks
- Sorting lists: deleting blocks
Now, let's discuss the mass updates.
In some user interfaces it is needed sometimes to select a whole block of items and move it towards the top or the bottom of the list all at once.
This may be useful to manage MP3 playlists, photo stacks, etc.
With linked lists, it's quite simple. Just like in case of moving a single item, we need to update only three rows.
Moving the items in block, though, requires some more checking:
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Sorting lists: deleting items
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This is article 4 of 6 on linked lists in MySQL:
- Sorting lists
- Sorting lists: moving items
- Sorting lists: adding items
- Sorting lists: deleting items
- Sorting lists: moving blocks
- Sorting lists: deleting blocks
In this aticle I'll describe deleting an item from a linked list.
This operation is probably the most simple, as no constraints are violated here.
I'll cover it, first, just to be complete and, second, to illustrate some tricks I used before in more detail.
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Sorting lists: adding items
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This is article 3 of 6 on linked lists in MySQL:
- Sorting lists
- Sorting lists: moving items
- Sorting lists: adding items
- Sorting lists: deleting items
- Sorting lists: moving blocks
- Sorting lists: deleting blocks
In this article I'll cover inserting items into the linked list.
This is quite a simple task, but has some issues we will need to handle.
When we insert a new item A
after an existing item B
in the linked list, we need to do the following:
- Insert the new item and set its
parent
toB
- Update the
B
's child'sparent
toA
This seems OK, but what if we want the id
of A
to be autogenerated?
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Sorting lists: moving items
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This is article 2 of 6 on linked lists in MySQL:
- Sorting lists
- Sorting lists: moving items
- Sorting lists: adding items
- Sorting lists: deleting items
- Sorting lists: moving blocks
- Sorting lists: deleting blocks
Today, I'll expain how to move items in these lists.
To move an item in the linked list we need to relink it. If we move item A
after item B
, we need to update at most three rows:
A
'sparent
is updated toB
A
's child'sparent
is updated toA
'sparent
B
's childparent
is updated toA
B
here may be a real row or a surrogate id
of 0
which we use to designate the first row's parent
.
Moving
means A
after 0
moving
.A
to the top of the list
Unfortunately we cannot rely on a single statement to perform these updates, because we have a UNIQUE INDEX
on parent
.
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Sorting lists
This is article 1 of 6 on linked lists in MySQL:
- Sorting lists
- Sorting lists: moving items
- Sorting lists: adding items
- Sorting lists: deleting items
- Sorting lists: moving blocks
- Sorting lists: deleting blocks
From Stack Overflow:
I have an app which has tasks in it and you can reorder them.
Now I was wondering how to best store them. Should I have a column for the order number and recalculate all of them everytime I change one?
Please tell me a version which doesn't require me to update all order numbers since that is very time consuming (from the execution's point of view).
It's probably better to keep it in a linked list:
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Article-aware title filtering: internationalization
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In the previous article, I described a query that searches for a phrase beginning with a certain letter or string, ignoring a leading article if any. This is useful in searching for movie titles.
Today, I'll add some more features to this query.
Let's pretend we are running an internationalized website which contains movie titles in many languages. We have a table showing us whether a certain word in the beginning of a title is an article, particle or any other part of speech that should be omitted when filtering:
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Article-aware title filtering
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From Stack Overflow:
I need to make an alphabetical listing of movie titles, so I need to show only items that begin with a chosen letter. To make this slightly more complicated, many titles start with "the" or "a", which needs to be ignored.
How would the mysql query look to achieve such a task?
Let's create sample tables and see:
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Selecting non-unique rows
Sometimes we need to select all rows for a table that have duplicate values in some of the columns. Like, we want to select all user comments for all posts commented by more than one user.
If there are two or more comments for a post, we select all comments for this post; if there is only one comment, we select none.
Let's create the sample tables to illustrate our needs:
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