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Is there a standard for varchar length relating to storing company/business names?
I have looked everywhere and cannot find an answer.
If not, what would be an ideal length to cover the majority of scenarios?
I'm going to go out on a limb here:
No
There is not in general, though there are some guidelines for some of these kinds of fields, for some organisations, in some countries (see answers to List of standard lengths for database fields).
You'll have to use best judgement. Quick google search the longest I could find was a little over 100 characters - if you're not stuck for space, throw in a few hundred to be safe, otherwise why are you strapped for space? Pull it out into a lookup table, then make the column in that table wide and move on; angsting over this will not earn you anything.
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I am doing some programming practice and
Going through Dynamic Programming theory. we always come across two points
Optimal Substructure (OSS)
Overlapping Subproblem (OSP)
Any optimization problem with these two characteristics can be solved by using DP techniques (Memoization or Tabulation).
But we know this needs so much practice to identify the kind of problems.
Let's Say we have 4 types
TYPE 1
TYPE2
PROBLEMS
OSS
OSP
ALL DP Problem
NON-OSS
OSP
?
OSS
NON-OSP
?
NON-OSS
NON-OSP
?
e.g. Is there any problem that looks like having NON-Overlapping Subproblem but Optimal Substructure characteristics?
I need your help in listing the problem of each type. These will help me and whoever is reading this get more identifying and then solving the problem.
If you have gone through any problem (Leetcode, CodeChef, SPOJ etc) you think can be fit into '?' category please comment.
Also If you have any link/source to know more about type based on OSS/OSP.
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I am given to know that video blobs should not be stored in MySQL. But what if the video is very small with a maximum length of 5 seconds. Is it okay to store small videos(less than 5 seconds) as blobs in mysql?
It's okay to store media data as a BLOB, regardless of length, as long as the content isn't larger than the maximum size for the data type (64KB for BLOB, 16MB for MEDIUMBLOB, 4GB for LONGBLOB).
Many software developers will insist that media belongs in files, not in the database, but there are good reasons to store data in a database too.
This is basically a matter of opinion. The best solution for your project may be different from their project.
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It might look like a simple question already answered countless times, but I could not find the optimal way(using some db).
I have a list of few thousands keywords(let's say abusive words). Whenever someone posts a message(long sentence or a paragraph), I want to check if the given sentence contains any of the keywords, so that I can block user or take other actions.
I am looking for a db/schema which can solve the above problem and gives response in a few milliseconds(<15ms).
There are many dbs which solves the reverse of the above problem: given the keywords, find documents containing keywords(text search).
Try ClickHouse for your workload.
According to docs:
multiMatchAny(...) returns 0 if none of the regular expressions are matched and 1 if any of the patterns matches. It uses hyperscan library. For patterns to search substrings in a string, it is better to use multiSearchAny since it works much faster.
The length of any of the haystack string must be less than 2^32 bytes.
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I am trying to decide on what will be more efficient between two different systems for MySQL to handle my data. I can either,
1: Create around 200 tables, each having around 30 rows & 5 columns.
2: Create 1 table, having around 6000 rows & 5 columns.
I am using Laravel for this project and Eloquent will be handling this. Does anybody have any opinions on this matter? I appreciate any/all responses.
Option 2.
For such low row counts the overhead both in terms of programming effort and computation of joining 200(!) tables far outweighs the "flat file" approach. Additionally, MySQL will attempt to cache the entire 6000-row table in RAM, assuming you're not storing massive BLOBs.
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I know my question sounds stupid but I'm curious why almost all programming languages I know uses true/false or 1/0 for boolean types.
Yes/no is meaningful than 1/0 and is shorter than true/false. Is there any logical reason why true/false is preferred?
Note that I'm not trying to convince everybody that yes/no is more appropriate, I am just curious why.
"Yes" and "no" are ambiguous. Different languages treat them differently, especially when used multiply such as a double negative. The other options lack this ambiguity.