Ruby sql to trim an entire column in a model [duplicate] - sql

This question already has answers here:
Ruby function to remove all white spaces?
(25 answers)
Closed 6 years ago.
I have a location model with an attribute name.
I want to trim(remove extra white spaces) the entire name attribute.
I tried to run
Location.TRIM(name)
But it isnt working. is the query wrong?

This is what you are looking for:
Location.update_all('name = TRIM(name)')

Related

I am having issues concatenating two JSON values to perform a !contains in my Karate Scenario, if I run the match for each field individually it works [duplicate]

This question already has answers here:
Karate API Testing- Remove duplicate values from the response and compare it with the new response
(2 answers)
Closed 1 year ago.
The community reviewed whether to reopen this question 1 year ago and left it closed:
Original close reason(s) were not resolved
def concatField =
{'#(responseartikel[].Kurztext_1 + responseartikel[*].Kurztext_2)'}
match concatField !contains expected
*But I get an error: "net.minidev.json.parser.parseexception unexpected character ( })" at position 66."
Is there another way to define this concatenated field without writing a java utility?*
No, unfortunately there is no other way.

What does this symbol '<>' means in Laravel Query Builder? [duplicate]

This question already has answers here:
What is the meaning of <> in mysql query?
(7 answers)
Closed 3 years ago.
I know this is a really beginner question, but I don't know what the meaning of this. I'm reading the existing system code. I don't know what does this symbol means <> in Query Builder.
Here is the sample code:
$builder = DB::table('product');
if (isset($product->type)) {
$builder->where('product.type', '<>', $product->type);
}
Thanks!
In MySQL syntax, this is the same as not equal or !=.

SQL Server: dynamic columns based on row values (Date) [duplicate]

This question already has answers here:
T-SQL dynamic pivot
(5 answers)
Why is processing a sorted array faster than processing an unsorted array?
(26 answers)
Closed 4 years ago.
I have spent an hour already on this problem.
I want to dynamically generate columns based on the values from the column AttendanceDate.
I have found some similar questions, but unfortunately the examples were too complicated for me to comprehend.
Data:
Expected output:
This can be done with the stuff method as mention in comments or with a while exists implementation:
http://rextester.com/FPU47008

SQL Server parsing function? [duplicate]

This question already has answers here:
Closed 10 years ago.
Possible Duplicate:
Split Function equivalent in tsql?
I have a column that contains data in the form:
CustomerZip::12345||AccountId::1111111||s_Is_Advertiser::True||ManagedBy::3000||CustomerID::5555555||
Does SQL have any sort of built in function to easily parse out this data, or will I have to build my own complicated mess of patindex/substring functions to pull each value into its own field?
I don't believe there is anything built in. Look at the comments posted against your original question.
If this is something you're going to need on a regular basis, consider writing a view.

Situation with SQL query [duplicate]

This question already has answers here:
How to search for a comma separated value
(3 answers)
Closed 8 years ago.
I have data in table in below format
id brand_ids
--------------
2 77,2
3 77
6 3,77,5
8 2,45,77
--------------
(Note the brand ids will be stored like comma separated values, this is common for values in this field)
Now i am trying to get a query which is capable of querying out only rows which have '77'
in it..
I know i can use LIKE command in three formats LIKE '77,%' OR LIKE '%,77,%' OR LIKE '%,77' with or condition to achieve it. But i hope this will increase the load time of the sql.
is there any straight forward method to achieve this? if so please suggest.
Thanks,
Balan
A strict answer to your question would be: no. Your suggestion of using LIKE is your best option with this data model. However, as mentioned, it is highly suggested that you use a more normalized model.