I would like to select rows in my table (I'm using Google Sheet for that purpose) which content is included in the string.
For example, rows included in table called Jobportal, column Test:
How to find work
Work permit
Jobs
Temporary jobs
I want to select all the rows that contain any word of my input, so if I write "i'm looking for a job", I need to select rows Jobs and Temporary jobs. If I write "where is my work?", I need to select How to find work and Work permit.
I've tried this query, but it's returning wrong/unexpected results.
select * from Jobportal where 'im looking for a job' LIKE CONCAT('%',Test,'%');
You can use regular expressions. Assuming that what the user types does not have special characters:
where test regexp replace('im looking for a job', ' ', '|')
That said, for performance you might want to consider using full text search capabilities.
Related
I am using PHP to access a mysql database field that contains up to 2500 characters per record.
I want to build queries that will return only the records that include a single word, like 'taco'.
Sometimes, however, the user will need to search for a word like 'jalapeno'. Except that jalapeno may exist in the database as 'jalapeno' or as 'jalapeño'. The query should return both instances.
As a further complication, the user may also need to search for a word like 'creme', which may appear as 'creme' or 'créme', but never as 'crémé'.
It seems like I should be able to construct something that uses a replace, and then a Regular Expression, so that the letter 'n' is always replaced with '[n|ñ]', and then search for a string with an embedded Regular Expression like this: 'jalape[n|ñ]o'. Except that does not work. MySQL treats the RegEx syntax as literals.
None of the following return the results that I am looking for:
SELECT id, record FROM table WHERE record like '%jalapeno%';
SELECT id, record FROM table WHERE record REGEXP 'jalapeno';
SELECT id, record FROM table WHERE record REGEXP 'jalape[n|ñ]o';
SELECT id, record FROM table WHERE REGEXP_LIKE(record, 'jalape[n|ñ]o', 'im');
Additionally, I can use PHP to do a replacement of the potential characters, but I end up with stuff like this:
SELECT id, record FROM table WHERE (record like '%creme%' || record like '%crémé%');
I would be Ok with a search like this, but it seems overly complicated to construct programmatically:
SELECT id, record FROM table WHERE (record like '%creme%' || record like '%crémé%' || record like '%cremé%' || record like '%cremé%' );
Is there a MySQL method that provides a REGEX 'OR' to be embedded within a String?
Maybe something like this:
SELECT id, record FROM table WHERE record like '%cr[e|é]m[e|é]%' ;
Or is there another solution that would not require the construction of an excessively convoluted SQL Statement?
Thanks for anyone who spent time trying to figure this out.
As I commented above, REGEXP_LIKE() does not appear to be a valid MySQL function for the current release.
Here is my solution; Note that this works for MySQL 5.7.x.
SELECT id, record FROM table WHERE record RLIKE 'jalape(n|ñ)o';
I have a MySQL database containing a list of UK towns and one of which is "Connah's Quay".
I want to be able to return results for "Connah's Quay" whether I have used the apostrophe or not, so "Connah's Quay" and "Connahs Quay" returns "Connah's Quay".
Rather than creating a field containing both versions (one with and another without the apostrophe), is there a SQL query I can run that will return results whether I have used the apostrophe or not?
QUERY:
SELECT * FROM uk_postcodes WHERE postal_town LIKE "connahs%";
Standard approach would be to normalise the data and search on that, so something like:
SELECT * FROM uk_postcodes WHERE REPLACE(postal_town, '''', '') LIKE 'connahs%';
This is a bit horrible to do on the fly (and not index friendly), so you would be better to store on table (also means you can also then cope with "Stow-cum-Quy" vs. "Stow cum Quy", etc.)
You might try this:
SELECT *
FROM uk_postcodes
WHERE REPLACE(postal_town,"'","") LIKE CONCAT(REPLACE("connah's","'",""),"%");
This removes the apostrophes from both the search term and the column value before the comparison.
Using KNIME, I would like to analyze data in a specific subset of columns in my database
but without using limiting SQL queries such as
Select *
From table
Where name like 'PAIN%'
Is there a way to do this in KNIME?
Try to find specific value within the column of choice by using:
Select distinct(column_name) from table;
You can pick from the expected result to filter your data
Select * from table column_name like 'result_one';
Assuming the column_name data type is in character.
To filer columns use the "Column Filter" node. You can filter the columns specifically, by RegEx on the column name or by column type (int, double, etc.) To filter rows based on content, use the "Row Filter" node, and select column to test and "filter based on collection elements" using pattern matching. This can also use RegEx. For mulitple columns use multiple nodes.
the knime did not support like for now, so I used the mysql locate or FIND_IN_SET function
SELECT id FROM address where LOCATE($street_Arr[0]$,street) > 0
SELECT id FROM address where FIND_IN_SET($street_Arr[0]$,street) > 0
however in the same situation u might be able to use knime joins much faster.
My user table has a column "name" which contains information like this:
Joe Lee
Angela White
I want to search for either first name or last name efficiently. First name is easy, I can do
SELECT * FROM user WHERE name LIKE "ABC%"
But for last name, if I do
SELECT * FROM user WHERE name LIKE "%ABC"
That would be extremely slow.
So I am thinking about counting the characters of the input, for example, "ABC" has 3 characters, and if I can search only the last three characters in name column, that would be great. So I want something like
SELECT * FROM user WHERE substring(name, end-3, end) LIKE "ABC%"
Is there anything in MySQL that can do this?
Thanks so much!
PS. I cannot do fulltext because our search engine doesn't support that.
The reason that
WHERE name LIKE '%ith'
is a slow way to look for 'John Smith' by last name is the same reason that
WHERE Right(name, InStr(name, ' ' )) LIKE 'smi%'
or any other expression on the column is slow. It defeats the use of the index for quick lookup and leaves the MySQL server doing a full table scan or full index scan.
If you were using Oracle (that is, if you worked for a formerly wealthy employer) you could use function indexes. As it is you have to add some extra columns or some other helping data to accelerate your search.
Your smartest move is to split your first and last names into separate columns. Several other people have pointed out good reasons for doing that.
If you can't do that you could try creating an extra column which contains the name string reversed, and create an index on that column. That column will have, for example, 'John Smith' stored as 'htimS nhoJ'. Then you can search as follows.
WHERE nameReversed LIKE CONCAT(REVERSE('ith'),'%')
This search will use the index and be decently fast. I've had good success with it.
You're close. In MySQL you should be able to use InStr(str, substr) and Right(str, index) to do the following:
SELECT * FROM user WHERE Right(name, InStr(name, " ")) LIKE "ABC%"
InStr(name, " ") returns the index of the Space character (you may have to play with the " " syntax). This index is then used in the Right() function to search for only the last name (basically; problems arise when you have multiple names, multiple spaces etc). LIKE "ABC%" would then search for a last name starting with ABC.
You cannot use a fixed index as names that are more than 3 or less than 3 characters long would not return properly as you suggest.
However, as Zane said, it's a much better practise to use seperate fields.
If it is a MyIsam table, you may use Free text search to do the same.
You can use the REGEXP operator:
SELECT * FROM user WHERE name REGEXP "ABC$"
http://dev.mysql.com/doc/refman/5.1/en/regexp.html
I've to ask your help to solve this problem.
My website has a search field, let's say user writes in "Korg X 50"
In my database in table "products" i have a filed "name" that holds "X50" and a field "brand" that hold "Korg". Is there a way to use the UNION option to get the correct record ?
And if the user enters "Korg X-50" ?
Thank you very much !
Matteo
May be you should use full-text search
SELECT brand, name, MATCH (brand,name) AGAINST ('Korg X 50') AS score
FROM products WHERE MATCH (brand,name) AGAINST ('Korg X 50')
As far as I understand you don't need UNION but something like
SELECT * FROM table1
WHERE CONCAT(field1, field2) LIKE '%your_string%'
On client side you get rid of all characters (like space, hyphen, etc) in your_string that appears in user input and cannot be in field1 or field2.
So, user input Korg X 50 as well as Korg X-50 becomes KorgX50.
you will need to get some form of searchable text.
either parse out the input for multiple key words and match each separately, or perhaps try to append them all together and match to the columns appended in the same way.
you will also need either a regex, or maybe a simpler search and replace to get rid of spaces and dashes after the append before the comparison.
in general, allowing users to search for open ended text strings is more complicated than 'what union do i use'... you will ideally also be worried about slight misspellings and capitalization, and keyword order.
you may consider pulling all keywords out from your normal record into a separate keyword list associated with each product, then use that list to perform your searches.
If you do not want to parse user input and use as it is, then you will need to use a query like this
select * from products where concat_ws(' ',brand,name) = user_input -- or
select * from products where concat_ws(' ',brand,name) like %user_input%
However, this query won't return result if user enters name "Korg X-50" and your table contains "Korg" and "X50", then you need to do some other thing to achive this. You may look at http://dev.mysql.com/doc/refman/5.0/en/string-functions.html#function_soundex however it won't be a complete solution. Look for text indexing libraries for that ex: lucene