This is my code:
$sql = "SELECT *,MATCH (CUIT,DENOMINACION) AGAINST ('%{$word}%') AS Score FROM cuits WHERE";
$sql_end = '';
foreach($words as $word) {
$sql_end .= " AND MATCH (CUIT,DENOMINACION) AGAINST ('%{$word}%' IN BOOLEAN MODE) AND BAJA=0 ";
$sql_end2 = "order by DENOMINACION limit $inicio, $TAMANO_PAGINA";
}
It is very slow. How can I improve the speed?
It doesn't make sense in FULLTEXT search to use LIKE-style wildcard strings %. So, change AGAINST ('%{$word}%') to AGAINST ('{$word}') and see if it helps.
Also, FULLTEXT can match multiple words at once, so there's no need to repeat the whole MATCH clause for each word. Instead try
SELECT *,MATCH (CUIT,DENOMINACION) AGAINST ('word word word word') ...
You may, if the series of words is a phrase, wish to stop using the boolean FULLTEXT mode and use the natural language mode as shown in your first MATCH clause.
Be aware that FULLTEXT works very strangely indeed on small tables, with less than a few hundred rows. That makes testing on small tables difficult.
Finally, make sure your FULLTEXT index is constructed correctly.
I have a website that basicly consists on a video search engine, I have the follow code that will query mysql for the given input criteria:
$search=htmlspecialchars($_GET['load']);
$say=mysql_query("SELECT * FROM madvideo WHERE MATCH (baslik) AGAINST ('*$search*' IN BOOLEAN MODE)");
Then I have the follow code that will display the results:
$katala=mysql_query("SELECT * FROM madvideo WHERE MATCH (baslik) AGAINST ('*$search*' IN BOOLEAN MODE) order by id asc limit $s,$perpage");
$i=0;
while ($sea=mysql_fetch_array($katala)) {
$i++;
$idd=$sea['id']; $seoo=$sea['seo']; $baslikk=$sea['baslik']; $resimm=$sea['resim']; $suree=$sea['sure'];
$izlenmee=$sea['izlenme']; $tarihh=$sea['tarih']; $katt=$sea['kat'];
Let me try to explain what's the problem with this.
Lets say you search on my website for "I like to eat strawberry"
And lets suppose I have on mysql table an entry with the very same name "I like to eat strawberry"
With my current code I will get the follow example results:
"I like to drive my car"
"my car is super fast"
"they eat to much"
and so on, and the relevant result might appear but not at first like I would like to be.
How can I make it display the results in a more relevant way, like the google for example?
Break the search term into words so you can build the order by condition dynamically using like expressions. Since the result of a logic expression in mysql is 1 or 0 you can add those expressions.
SELECT *
FROM madvideo
WHERE MATCH (baslik) AGAINST ('*$search*' IN BOOLEAN MODE)
order by
(baslik like '%$word1%')
+ (baslik like '%word2%')
+ (baslik like '%word3%')
desc
limit $s,$perpage
Its first time I am willing to add multiple search. I am not sure how it should be done. Should I use loop each word in search? or is there any mysql built in function there for it?
What I am thinking it should be like that?
$strSearch = $this->input->post("search"); // would hold words etc hello word
$arry = explode(" ", $strSearch);
foreach($arry as $item){
$this->db->query("select * from tbl where item like '%$item%');
}
Please advice.
Thank You
There is a lot to search.
Iterating through your words is only a small part of the battle. There is word order (Mac Office vs. Office Mac), ignoring common words (a, the), word variants like plurals. Don't forget weighing and scoring your searches.
Try a library that's already done the heavy lifting like Zend Search Lucene. See: http://codeigniter.com/forums/viewthread/207865/ or http://www.cmjackson.net/2009/02/17/how-to-use-zend_search_lucene-with-the-php-framework-codeigniter/.
How it worked
I split the words and looped through for each to make an extra string and I executed the string through mysql query. it was working how i wanted.
$strSearch = $this->input->post("search"); // would hold words etc hello word
$arry = explode(" ", $strSearch);
foreach($arry as $item){
$xQuery .= " or name like '%$item%' or location like '%item'";
}
$this->db->query("select * from tbl where name like '$strSearch' or location like '$strSearch' .$xQuery ");
You might look at MySQL natural language search.
http://dev.mysql.com/doc/refman/5.5/en/fulltext-search.html
I'm trying to create a search engine for an inventory based site. The issue is that I have information inside bbtags (like in [b]test[/b] sentence, the test should be valued at 3, whereas sentence should be valued at 1).
Here is an example of an index:
My test sentence, my my (has a SKU of TST-DFS)
The Database:
|Product| word |relevancy|
| 1 | my | 3 |
| 1 | test | 1 |
| 1 |sentence| 1 |
| 1 | TST-DFS| 10 |
But how would I match TST-DFS if the user typed in TST DFS? I would like that SKU to have a relevancy of say 8, instead of the full 10..
I have heard that the FULL TEXT search feature in MySQL would help, but I can't seem to find a good way to do it. I would like to avoid things like UNIONS, and to keep the query as optimized as possible.
Any help with coming up with a good system for this would be great.
Thanks,
Max
But how would I match TST-DFS if the user typed in TST DFS?
I would like that SKU to have a relevancy of say 8, instead of the full 10..
If I got the question right, the answer is actually easy.
Well, if you forge your query a little before sending it to mysql.
Ok, let's say we have $query and it contains TST-DFS.
Are we gonna focus on word spans?
I suppose we should, as most search engines do, so:
$ok=preg_match_all('#\w+#',$query,$m);
Now if that pattern matched... $m[0] contains the list of words in $query.
This can be fine-tuned to your SKU, but matching against full words in a AND fashion is pretty much what the user presumes is happening. (as it happens over google and yahoo)
Then we need to cook a $expr expression that will be injected into our final query.
if(!$ok) { // the search string is non-alphanumeric
$expr="false";
} else { // the search contains words that are no in $m[0]
$expr='';
foreach($m[0] as $word) {
if($expr)
$expr.=" AND "; // put an AND inbetween "LIKE" subexpressions
$s_word=addslashes($word); // I put a s_ to remind me the variable
// is safe to include in a SQL statement, that's me
$expr.="word LIKE '%$s_word%'";
}
}
Now $expr should look like "words LIKE '%TST%' AND words LIKE '%DFS%'"
With that value, we can build the final query:
$s_expr="($expr)";
$s_query=addslashes($query);
$s_fullquery=
"SELECT (Product,word,if((word LIKE '$s_query'),relevancy,relevancy-2) as relevancy) ".
"FROM some_index ".
"WHERE word LIKE '$s_query' OR $s_expr";
Which shall read, for "TST-DFS":
SELECT (Product,word,if((word LIKE 'TST-DFS'),relevancy,relevancy-2) as relevancy)
FROM some_index
WHERE word LIKE 'TST-DFS' OR (word LIKE '%TST%' AND word LIKE '%DFS%')
As you can see, in the first SELECT line, if the match is partial, mysql will return relevancy-2
In the third one, the WHERE clause, if the full match fails, $s_expr, the partial match query we cooked in advance, is tried instead.
I like to lower case everything and strip out special characters (like in a phone number or credit card I take everything out on both sides that isn't a number)
Rather than try to create your own FTS solution, you could try to fit the MySQL FTS engine to your requirements. What I've seen done is create a new table to store your FTS data. Create a column for each different piece of data that you want to have a different relevance. For your sku field you could store the raw sku, with spaces, underscores, hyphens and any other special character intact. Then store a stripped down version with all these things removed. You may also want to store a version with leading zeros removed, as people often leave things like that out. You can store all these variations in the same column. Store your product name in another column, and the product description in another column. Create a separate index on each column. Then when you do your search, you can search each column individually, and multiply the rank of the results based on how important you think that column is. So you could multiply sku results by 10, title by 5 and leave description results as is. You may have to do a little experimentation to get the results you want, but it may ultimately be simpler than creating your own index.
Create a keywords table. Something along the lines of:
integer keywordId (autoincrement) | varchar keyword | int pointValue
Assign all possible keywords, skus, etc, into this table. Create another table, a post-keywords bridge, (assuming postId is the id you've assigned in your original table) along the lines of:
integer keywordId | integer postId
Once you have this, you can easily add keywords to each post as it is interested. To calculate total point value for a given post, a query such as the following should do the trick:
SELECT sum(pointValue) FROM keywordPostsBridge kpb
JOIN keywords k ON k.keywordId = kpb.keywordId
WHERE kpb.postId = YOUR_INTENDED_POST
I think the solution is quite straightforward unless I missed something.
Basically run two search, one is exact match, the other is like match or regex match.
Join two resultsets together, like match left join exact match. Then for example:
final_relevancy = (IFNULL(like_relevancy, 0) + IFNULL(exact_relevancy, 0) * 3) / 4
I didn't try this myself though. Just an idea.
I would add a column that is stripped of all special character's, misspellings, and then upcased (or create a function that compares on text that has been stripped and upcased). That way your relevancy will be consistent.
/*
q and q1 - you table
this query takes too much resources,
make from it update-query ( scheduled task or call it on_save if you develop new system )
*/
SELECT
CASE
WHEN word NOT REGEXP "^[a-zA-Z]+$"
/*many replace with junk characters
or create custom function
or if you have full db access install his https://launchpad.net/mysql-udf-regexp
*/
THEN REPLACE(REPLACE( word, '-', ' ' ), '#', ' ')
ELSE word
END word ,
CASE
WHEN word NOT REGEXP "^[a-zA-Z]+$"
THEN 8
ELSE relevancy
END relevancy
FROM ( SELECT 'my' word,
3 relevancy
UNION
SELECT 'test' word,
1 relevancy
UNION
SELECT 'sentence' word,
1 relevancy
UNION
SELECT 'TST-DFS' word,
10 relevancy
)
q
UNION
SELECT *
FROM ( SELECT 'my' word,
3 relevancy
UNION
SELECT 'test' word,
1 relevancy
UNION
SELECT 'sentence' word,
1 relevancy
UNION
SELECT 'TST-DFS' word,
10 relevancy
)
q1
it is a page coading where query result shows
**i can not use functions by use them work are more easier**
<html>
<head>
</head>
<body>
<?php
//author S_A_KHAN
//date 10/02/2013
$dbcoonect=mysql_connect("127.0.0.1","root");
if (!$dbcoonect)
{
die ('unable to connect'.mysqli_error());
}
else
{
echo "connection successfully <br>";
}
$data_base=mysql_select_db("connect",$dbcoonect);
if ($data_base==FALSE){
die ('unable to connect'.mysqli_error($dbcoonect));
}
else
{
echo "connection successfully done<br>";
***$SQLString = "select * from user where id= " . $_GET["search"] . "";
$QueryResult=mysql_query($SQLString,$dbcoonect);***
echo "<table width='100%' border='1'>\n";
echo "<tr><th bgcolor=gray>Id</th><th bgcolor=gray>Name</th></tr>\n";
while (($Row = mysql_fetch_row($QueryResult)) !== FALSE) {
echo "<tr><td bgcolor=tan>{$Row[0]}</td>";
echo "<td bgcolor=tan>{$Row[1]}</td></tr>";
}
}
?>
</body>
</html>
I'm working on an 'advanced search' page on a site where you would enter a keyword such as 'I like apples' and it can search the database using the following options:
Find : With all the words, With the
exact phrase , With at least one of
the words, Without the words
I can take care of the 'Exact phrase' by:
SELECT * FROM myTable WHERE field='$keyword';
'At least one of the words' by:
SELECT * FROM myTable WHERE field LIKE '%$keyword%';//Let me know if this is the wrong approach
But its the 'With at least one of the words' and 'Without the words' that I'm stuck on.
Any suggestions on how to implement these two?
Edit: Regarding 'At least one word' it wouldn't be a good approach to use explode() to break the keywords into words, and run a loop to add
(field='$keywords') OR ($field='$keywords) (OR)....
Because there are some other AND/OR clauses in the query also and I'm not aware of the maximum number of clauses there can be.
I would suggest the use of MySQL FullText Search using this with the Boolean Full-Text Searches functionality you should be able to get your desired result.
Edit:
Requested example based on your requested conditions ("Its just one field and they can pick either of the 4 options (i.e 1 word, exact words, at least 1 word, without the term).")
I am assuming you are using php based on your initial post
<?php
$choice = $_POST['choice'];
$query = $_POST['query'];
if ($choice == "oneWord") {
//Not 100% sure what you mean by one word but this is the simplest form
//This assumes $query = a single word
$result = mysql_query("SELECT * FROM table WHERE MATCH (field) AGAINST ('{$query}' IN BOOLEAN MODE)");
} elseif ($choice == "exactWords") {
$result = mysql_query("SELECT * FROM table WHERE MATCH (field) AGAINST ('\"{$query}\"' IN BOOLEAN MODE)");
} elseif ($choice == "atLeastOneWord") {
//The default with no operators if given multiple words will return rows that contains at least one of the words
$result = mysql_query("SELECT * FROM table WHERE MATCH (field) AGAINST ('{$query}' IN BOOLEAN MODE)");
} elseif ($choice == "withoutTheTerm") {
$result = mysql_query("SELECT * FROM table WHERE MATCH (field) AGAINST ('-{$query}' IN BOOLEAN MODE)");
}
?>
hope this helps for full use of the operators in boolean matches see Boolean Full-Text Searches
You could use
With at least one of the words
SELECT * FROM myTable WHERE field LIKE '%$keyword%'
or field LIKE '%$keyword2%'
or field LIKE '%$keyword3%';
Without the word
SELECT * FROM myTable WHERE field NOT LIKE '%$keyword%';
I'm not sure you could easily do those search options in a naive manner as the other two.
It would be worth your while implementing a better search engine if you need to support those scenarios. A simple one that could probably get you by is something along these lines:
When an item is added to the database, it is split up into the individual words. At this point "common" words (the, a, etc...) are removed (probably based on a common_words table). The remaining words are added to a words table if they are not already present. There is then a link made between the word entry and the item entry.
When searching, it is then a case of getting the word ids from the word table and the appropriate lookup of item ids in the joining table.
Search is notoriously difficult to do well.
You should Consider using a third party search engine using something like Lucene or Sphider.
Giraffe and Re0sless pooseted 2 good answers.
notes:
"SELECT * " sucks... only select the columns that you need.
Re0sless puts a "OR" between keywords.
- you should eliminate common words (" ","i","am","and"..etc)
- mysql has a 8kb i belive limit on the size of the query, so for really long SELECTS you should slipt it into separate queries.
- try to eliminate duplicate keywords (if i search for "you know you like it" the SELECT should basically only search for "you" once and elimnate common words as "it")
Also try to use "LIKE" and "MATCH LIKE" (see mysql man page) it could do wonders for "fuzzy" searches