This probably has a simple solution, although it is made a little more difficult because of the way the database is constructed, it isn't mine. A column in the database has a text value that is of the form text1DDtext2DDtext3, where DD is a delimiter that they through in rather than having a separate table for 0 to n values that go in that column.
There is a search that is executed where what I have to start with is:
"text1","text2", "text3", . . .
All I want to do is build on a query that checks to see if any of the "textn" strings are in the column field, although it would be nice to have a query that also checked to see if all of the search string text values are in the column value. The order in which they are stored in the column can vary, as can the search string. If there was a linked table that just had single values in a column it would not be very hard.
I've just various combinations of IN and LIKE, and that doesn't seem to work.
Thanks.
try:
SELECT columnYouWant FROM dbo.table WHERE UPPER(column) LIKE ('%TEXT%');
Related
I'm using implode to insert few values into one row in MySQL database.
implode(' ', $_POST['tag']);
Assuming that I have table named product with row named tags with 3 different values that inserted inside like this:
usb adapter charger
I have tried using this method using like operator (%), but that didn't worked.
$sql = "SELECT * FROM product WHERE tags='%usb%'";
How can I extract only one value from the imploded array using WHERE in mysql query?
I agree with the comments about re-designing the database. At first read it seems that using LIKE would definitely get the result you want but after reading #Patrick Q's pan - panther example, it makes a lot sense that LIKE is not really a good solution. There are ways to get exactly the tag string you're looking for but it may hurt the performance and the query will be longer and complex. Hence the following are to demonstrate how the query would look like with your current tags data value:
MySQL query:
SELECT tags,
SUBSTRING_INDEX(SUBSTRING_INDEX(tags,' ',FIND_IN_SET('usb',REPLACE(tags,' ',','))),' ',-1) v
FROM mytable
HAVING v = 'usb';
As you can see, there are a few functions being used just to get the exact string from the data cell. Since your example data was separating with spaces and FIND_IN_SET identify value separation by comma, REPLACE take place on the tags column first to replace spaces with comma. Then with SUBSTRING_INDEX twice to get the string using the location extracted in FIND_IN_SET. Finally at the end HAVING to get only the tag you're looking for.
Further demo here : https://www.db-fiddle.com/f/joDa7MNcQL2RakTgBa7qBM/3
Am using a SQL command in PHP to count the no of values inserted in a column named attack_type. I want to count the occurrence of individual values like website defacement in the whole column of the table. But here the column attack_type contain different values, separated by a comma and the count is treating whole column data as a string. Below is my current SQL statement with its output
I tried explode print_r in PHP
SELECT attack_type,
count(*) as number
FROM data_input_test
GROUP BY attack_type
Here is the output of the above statement
generated:
https://drive.google.com/open?id=1TyRL_Mh0OOJWaCpFczxmBr34No9LUpzH
But what I want is :
https://drive.google.com/open?id=1eeA_1TCER0WMpZwSkBDMzRtRa8xihbZd
and so on. The above desired output is edited to show what I exactly want.
Other answer on stackoverflow and on other forums are either irrelevant or are using regrex or a new table creation in one or the other way. That I don't want as my hosting has some limitations. My hosting doesnt provide creation of triggers, regrex or creation of temp tables
I may have a solution for this but don't know how to apply here. Possible here: https://www.periscopedata.com/blog/splitting-comma-separated-values-in-mysql
Please someone explain me how to apply the same here.
So I finally worked around to get my work done using the select only. This only works if you have a finite set of data or specifically less than 64 values.
Change your column datatype to 'set' type. And enter your set values.
Now use select, count, find_in_set and union functions of sql.
Example:
union select 'Un-patched Vulnerable Software Exploitaion'as type, count(*) as number from data_input_test where find_in_set('Un-patched Vulnerable Software Exploitaion',attack_type)```
and so on for all your values
I know this is not how you should do but as the legends say this works 😎😎
If you just want to count comma-separated values in rows, you can use:
SELECT SUM(LENGTH(attack_type) - LENGTH(replace(attack_type, ',', '')) +1) AS TotalCount
FROM table_name;
I have a new question cause i didnt find it anywhere.
I have a db which contains 4 columns. I did my bot to insert array to a column.Now i have to fill another columns.
My filled column contains site links. Exmp: www.dizipub.com/person-of-interest-1-sezon-2-bolum-izle
I need to take "person-of-ınterest" part and write it to another column as kind of a "Person of Interest". And also "1-sezon-2-bolum" as "Sezon 1 - Bölüm 1".
I couldnt find it to do with php not sql. I need to make it with bot. Can someone help me about it please.
database
There is a column named bolumlink where i put the links. As i told i need to take some words from these links. For instance:
dizi column needs to be filled with "Pretty Little Liars" in first 9 row.
It can be done by SQL Update with Like which allows you to select rows with pattern based search using wild-cards:
% matches any number of characters, even zero characters.
_ matches exactly one character.
update your_table set dizi = 'Pretty Little Liars' where bolumlink like '%pretty-little-liars%'
NOTE:
Updating your database using like without limit or conditions with unique columns can be dangerous. This code might affect the whole table if empty string is passed.
How to query comma delimited field of table to see if number is within the field
I want to select rows from a table if a column contains a certain number e.g 981. The data in these columns is either 0, null or in the format below:
1007,1035,1189,908,977,974,979,973,982,981,1007
I made a like as in above link. I used IN ('7','3','12','1','10','13','2') & it gets only 22K of rows from Table. For the same query If i use REGEXP '7|3|12|1|10|13|2' it returs nearly 119K rows from same Table. but REGEXP makes slow the query. is there any method to make my query faster?
Your regexp is confusing values. So, 7 matches 17 and 77. The in does what you want.
First, I don't recommend storing values in a comma-delimited list. If you really have to (like someone who didn't know better designed the database), then use find_in_set():
where find_in_set(7, list) > 0 or
find_in_set(3, list) > 0 or
. . .
Alternatively, put delimiters in the regexp. I think it would look like:
where concat(',', list, ',') regexp '(,7,)|(,3,)|(,12,)|(,1,)|(,10,)|(,13,)|(,2,)'
I want to query a table as follows:
I have a field called "category" and my input match contains N separate words. I want the query to match all rows that contain all N words, but in any order.
For example if the field category contains "hello good morning world", my input query can contain "hello morning" or "good" or "world hello" and all are matches to the query.
How do I formulate such an SQL expression?
Also it would be good if the query can be made case insensitive.
If you are using MySQL you can use the boolean fulltext search feature to achieve this. You can put a + in front of each term and then only results with all the terms, in any order, will be returned. You will need to make sure the column containing the category field has a fulltext index specified on it for this to work. Other database engines probably have similar features. So for example you might do something like the following assuming there were a fulltext index over the category column...
SELECT * FROM myTable WHERE MATCH (category) AGAINST ('+term1 +term2 +term3' IN BOOLEAN MODE);
I would avoid using the "LIKE" operator as others have suggested you would have to worry about the headache of mixed upper/lower case and if you have a large database using a % in the front of a LIKE search term is going to cause a full table scan instead of using an index which is horrible for performance.
I'm not writing the loop that will build this query for you. This will get the job done, but it will be pretty inefficient.
SELECT * FROM table
WHERE (
TOUPPER(category) LIKE '*HELLO*' AND
TOUPPER(category) LIKE '*GOOD*' AND
TOUPPER(category) LIKE '*MORNING*' AND
TOUPPER(category) LIKE '*WORLD*'
);
You could also research using REGEXes with SQL.