I'm Trying to search for usernames using LIKE query, however the query always return 0 and the usernames does exists! I'm using MYSQL terminal that with MAMP PRO server and here what i tried:
SELECT * FROM userlogin WHERE username LIKE '٪w٪';
SELECT * FROM userlogin WHERE username LIKE '٪w';
SELECT * FROM userlogin WHERE username LIKE 'w٪';
SELECT * FROM userlogin WHERE username LIKE '٪?٪';
Always the result is the same 0 what can be the problem!?
You are using percent character from Arabic encoding, copy following character and all will be fine (or switch your keyboard on English based keyboard and then type):
%
I doubt that it returns 0 - I suspect you mean the queries return no rows. Also you did not provide any details of the records you expected the query to return.
Applying further guesswork, I think the first 2 queries are intended to return records where the username starts with zW - in which case you should be specify a wildcard in your literal, e.g.
SELECT * FROM userlogin WHERE username LIKE '٪w%';
From the manual:
With LIKE you can use the following two wildcard characters in the pattern:
% matches any number of characters, even zero characters.
_ matches exactly one character.
Hi Walid Naceri You have wrong special character use %w% Like this
I am creating a query where in i would need to compare 2 sets of words. I need to compare a.error_description with b.KE_TAGS which both contain sets of words.
Example of text:
a.error_description = "LockResource engine call failed in script GLB_LOCK..."
b.KE_TAGS = "LockResource, GLB_LOCKRESOURCE_100_PS"
Both columns contain the word "LockResource".
Here is my Query below:
The expected result should show the KE_ID based on the KE_TAG "LockResource, GLB_LOCKRESOURCE_100_PS" for the error_description which contains "LockResource engine call failed in script GLB_LOCK..."
Select a.error_id, a.job_ID, a.error, a.error_description,
CONCAT('%',b.KE_TAGS,'%'), b.KE_TAGS, b.KE_ID
from errors_input as a right join knowledge_entry as b
on a.error_Description like CONCAT('%',b.KE_TAGS,'%') -- issue is in this line
WHERE a.error like '%BB_RAISEERROR_100_PS%'***
Hope you can help. thanks!
Am currently using Mysql and PHP.
Looking for a query that will take a number and find the closet match for the begining of a set of digits, for example I have the number 019235678910, 026725678910, 026825678910 and my table looks like this.
Table - Destintation
Name Number
Watford 01923
Oxford 026
Romford 026
Crawford 0267
Topford 02672
So when I pass 019235678910 the result would be Watford, 026725678910 would be Topford and 026825678910 would be Oxford and Romford.
I'm also not sure if MYSQL can do this directly or would need to work in conjunction with PHP?
Here one way for getting all of them:
select d.*
from Destination d join
(select length(Number) as maxlen, number
from destination d
where YOURVALUE like concat(Number, '%')
order by maxlen desc
limit 1
) dsum
on d.Number = dsum.Number
Because you are looking for initial sequences, there is only one maximum match on the numbers (hence the limit 1 works).
By the way, the field called number is clearly a character field. Personally, I think it bad practice to call a character field "number" -- something called cognitive dissonance.
SELECT Name, Number
FROM Destintation
WHERE LEFT('026725678910', LENGTH(Number)) = Number
or perhaps
WHERE '026725678910' LIKE CONCAT(Number, '%')
There is an interesting bug -for me-.
Please follow the query i executed.
everything is normal.
mysql> select hex(current_user());
Result : 726F6F74406C6F63616C686F7374
everything is normal.
mysql> select substring(hex(current_user()),1,15);
Result : 726F6F74406C6F6
i added null string to second and third parameter of substring method. everything is normal.
mysql> select substring(hex(current_user()),''+1,''+15);
Result : 726F6F74406C6F6
when i add null string to firs parameter of substring.. there is return only 726.:S i was expecting same result of my latest query.
mysql> select substring(hex(current_user())+'',1,15);
Result : 726
mysql> select substring(hex(current_user())+'',2,15);
Result : 26
mysql> select substring(hex(current_user())+'',3,15);
Result : 6
mysql> select substring(hex(current_user())+'',4,15);
Result : NULL
I tested with Mysql 5.0.95 and 5.1.61 and same issue..! i tested same query with mid function instead of substring.. same again.
Any idea ? i was working on some kind of Web Application Firewall rule bypass and i realized to that bug.
It's converting HEX to integer (by taking characters from HEX until the first non-numerical character: 726) when you apply '+' operator. And empty string is converted (to integer: 0) also.
Example:
''+1 => 0+1=1
726F6F74406C6F63616C686F7374+'' => 726+0 = 726
concat() function should be used for concatenating strings.
You should be using concat if you want reliable results...
SELECT hex(current_user()),
hex(current_user())+'',
substring(hex(current_user())+'',1,15),
concat(hex(current_user()), ''),
substring(concat(hex(current_user()), ''),1,15);
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>