Like when the user writes the article title in the input field, I want to search existing articles to see if there are similar ones.
For eg.
SQL search query like stackoverflow
I want to find the most relevant articles related to this title.
I know it's something like:
WHERE article_title LIKE 'word'
but how do I handle multiple keywords?
Use a fulltext index, which'd be something like:
SELECT ... FROM ... WHERE MATCH (fieldname) AGAINST ('keyword keyword keyword');
Or hack up the query to look like
SELECT ... FROM ... WHERE (fieldname LIKE '%keyword%' OR fieldname LIKE '%keyword%' etc...)
Of the two, the fulltext version will be faster, as it can use an index. The 'LIKE %...% version will be very expensive, as wildcard search of that sort cannot use indexes at all. The downside is that fulltext indexes are only available on MyISAM tables, and will probably never be available for InnoDB tables.
You need to have full text search for that.
Make sure you are using MyISAM as the engine for the table you want to search on.
Have the following table
Table articles
--------------
id integer autoincrement PK
title varchar(255) with fulltext index
contents textblob with fulltext index
And use a query like:
SELECT id
, MATCH(title, contents) AGAINST ('$title_of_article_thats_being_edited')
as relevance
FROM articles
WHERE MATCH(title, contents) AGAINST ('$title_of_article_thats_being_edited')
ORDER BY relevance
Note that SO refines the list when you enter tags.
WHERE article_title LIKE '%word1%word2%'
will return all rows in which article_title contains 'word1' and 'word2' in this particular order
Related
Hello everyone as the topic says I am looking for alternative or advanced using of "LIKE".
I have column which contains a row of words p.e. "keyword1,keyword2,another_keyword" and when I use
$sql = mysql_query("SELECT * FROM table WHERE `column` LIKE '%keyword1%' ");
It hardly find it p.e. this example works but when i try to find shorter strings it has problems and sometimes it does not find anything.
I tried put a whitespace after comas and it helped but if there is a way where I can search for match with this specification of column I would be happy.
You may move keywords into individual table.
Or you can use SET field type, if the list of your keywords don't change.
Storing comma separated list of your words is a bad idea example using like in your scenario is hard to find the exact work in comma separated list instead you can add new table which relates to your current table and store each the word in a new row with the associated identity like
table1
id title
1 test1
2 test2
kewords_table
table1_id word
1 word1
1 word2
1 word3
and query will be
select t.*
from table1 t
join kewords_table k
on(t.id = k.table1_id)
where k.word = 'your_keyword'
If you can't alter your structure you can use find_in_set()
SELECT * FROM table WHERE find_in_set('your_keyword',`column`) > 0
try something like this:
SELECT * FROM tablename
WHERE column LIKE '%keyword1%'
OR column LIKE '%keyword2%';
for more info see here:Using SQL LIKE and IN together
MySQL allows you to perform a full-text search based on very complex queries in the Boolean mode along with Boolean operators. This is why the full-text search in Boolean mode is suitable for experienced users.
First You have to add FULLTEXT index to that perticuler column :
ALTER TABLE table_name ADD search_column TEXT CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL, ADD FULLTEXT search_column (search_column);
Run following query for searching :
SELECT * FROM table WHERE MATCH(search_column) AGAINST("keyword1")
for more info see here : https://dev.mysql.com/doc/refman/8.0/en/fulltext-boolean.html
I'm in the midsts of constructing some database tables, but a possible search issue has just come to mind.
The two tables in question are Genres, a 2 column table holding a list of music genres identified by an ID field, i.e. 1 = Dance, 2 = Rock, and so on. And a Music table, a multi column table with Title, Artist, and Genre_ID fields. And yes you've guest it, Genre_ID refers to the ID of the Genre table.
My question is, if I have a search box on the site powered by PHP, and that search box queries the key fields, so Title, Artist, and Genre to yeld the best result, how can I get that to function correctly in a search, when the Genre name itself is in a separate table, and not in the Music table.
An example search would be, "rock music by ACDC".
To connect multiple tables in a query, you should look at using "join" statements. Rather than reinventing the wheel, the first answer to this post does a good job of explaining them... When to use a left outer join
Create a view where you join both of the tables. Then use SELECT with LIKE in WHERE clause or better use a fulltext search to do the searching job.
The view
create view ViewMusicWithGenre as
select "*"
from Music as m
left join Genre as g on m.genre_id = g.id;
Search option with like
select "*"
from ViewMusicWithGenre
where Title like '%<what_you_search>%'
or Artist like '%<what_you_search>%'
or Genre like '%<what_you_search>%';
I wrote the asterisk in "" because I KNOW that you WILL NOT use an asterisk.
Left join is there because you want the row even without specified genre (very likely).
The fulltext search
This usually depends on the database you use. This is for instance Microsoft SQL Server 2014:
Fulltext search - http://technet.microsoft.com/en-us/library/ms142571.aspx
Fulltext index - http://technet.microsoft.com/en-us/library/ms187317.aspx
Querying fulltext search - http://technet.microsoft.com/en-us/library/ms142583.aspx
EDIT: for MySQL database
MySQL does not support fulltext indeces on views. So you are left with couple of choices:
use the LIKE statement - could be ineffective, also more work later on
create the fulltext index on Music table and omit the genre - not good enough
create a new table that resembles the join and fill it on say daily basis with a job (or something like that) a do the fulltext search on that table - best solution in long terms, but more work to begin with and includes data duplicity
You also have to bear in mind that fulltext indeces only work on MyISAM storage engine.
The create statement for the joint table
create table fulltextSearchTable (
Music_ID int not null primary key,
Music_Title varchar(1024) not null,
Music_Artist varchar(1024) not null,
Genre_ID int not null,
Genre_Title varchar(1024) not null,
fulltext(Music_Title, Music_Artist, Genre_Title)
) engine=MyISAM;
The select with fulltext search
select "*"
from fulltextSearchTable
where match(Music_Title, Music_Artist, Genre_Title) against ('your_keyword');
You can try INNER JOIN like this:
$result=mysqli_query($YourConnection,"SELECT music.title, music.artist FROM music
INNER JOIN genres ON music.genre_id=genres.genre_id
WHERE music.title LIKE '$searchword'
OR music.artist LIKE '$searchword'
OR genres.genre LIKE '$searchword'");
And then print the results like this:
while($row=mysqli_fetch_array($result)){
echo $row['title']." - ".$row['artist']."<br>";
}
I have a table that contains 3 text fields, and an ID one.
The table exists solely to get collection of ID's of posts based on relevance of a user search.
Problem is I lack the Einsteinian intellect necessary to warp the SQL continuum to get the desired results -
SELECT `id` FROM `wp_ss_images` WHERE `keywords` LIKE '%cute%' OR `title` LIKE '%cute%' OR `content` LIKE '%cute%'
Is this really enough to get a relevant-to-least-relevant list, or is there a better way?
Minding of course databases could be up to 20k rows, I want to keep it efficient.
Here is an update - I've gone the fulltext route -
EXAMPLE:
SELECT `id` FROM `wp_ss_images` WHERE MATCH (`keywords`,`title`,`content`) AGAINST ('+cute +dog' IN BOOLEAN MODE);
However it seems to be just grabbing all entries with any of the words. How can I refine this to show relevance by occurances?
To get a list of results based on the relevance of the number of occurrences of keywords in each field (meaning cute appears in all three fields first, then in 2 of the fields, etc.), you could do something like this:
SELECT id
FROM (
SELECT id,
(keywords LIKE '%cute%') + (title LIKE '%cute%') + (content LIKE '%cute%') total
FROM wp_ss_images
) t
WHERE total > 0
ORDER BY total DESC
SQL Fiddle Demo
You could concatenate the fields which will be better than searching them individually
SELECT `id` FROM `wp_ss_images` WHERE CONCAT(`keywords`,`title`,`content`) LIKE '%cute%'
This doesn't help with the 'greatest to least' part of your question though.
I'm building a search on my site and I noticed it doesn't work when you enter more than one word into the search. Here's the gist of the query:
SELECT * FROM `blog` WHERE `content` LIKE '%$keyword%' OR `title` LIKE '%$keyword%' ORDER BY `id` DESC
The weird things is that when I test the query in phpMyAdmin it returns the expected results. On my website however, no results are found.
I tried replacing spaces in the keyword with %s, but that didn't change anything.
The problem is that LIKE does pattern matching rather than actually search for keywords. You should create a fulltext Index on your database columns and use WHERE MATCH keywords AGAINST column. That will properly search for all keywords in any order and be a lot faster anyway.
I just tried this in my database and using LIKE in the query is more than 66 times as fast than using MATCH with fulltext index. I'm using two tables which are "connected" to each other. One is tags and the other one is products.
So what I did was that I added a fulltext index to the tag column in the tags table and performed the match against that column. The query than joins the products and then spits out some data about the item. That took about 4 seconds with ~3000 products & ~3000 tags.
I then tried it by first exploding the search string by whitespaces, and then imploding the result with %' OR tags.tag LIKE '%. This took about 0,06 seconds with the same amount of products and tags.
I have this database table:
Column Type
source text
news_id int(12)
heading text
body text
source_url tinytext
time timestamp
news_pic char(100)
location char(128)
tags text
time_created timestamp
hits int(10)
Now I was searching for an algorithm or tool to perform a search for a keyword in this table which contains news data. Keyword should be searched in heading,body,tags and number of hits on the news to give best results.
MySQL already has the tool you need built-in: full-text search. I'm going to assume you know how to interact with MySQL using PHP. If not, look into that first. Anyway ...
1) Add full-text indexes to the fields you want to search:
alter table TABLE_NAME add fulltext(heading);
alter table TABLE_NAME add fulltext(body);
alter table TABLE_NAME add fulltext(tags);
2) Use a match ... against statement to perform a full-text search:
select * from TABLE_NAME where match(heading, body, tags, hits) against ('SEARCH_STRING');
Obviously, substitute your table's name for TABLE_NAME and your search string for SEARCH_STRING in these examples.
I don't see why you'd want to search the number of hits, as it's just an integer. You could sort by number of hits, however, by adding an order clause to your query:
select * from TABLE_NAME where match(heading, body, tags, hits) against ('SEARCH_STRING') order by hits desc;