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I must to make a decision if I split my table in more tables or I keep all in one table. According to my calculation if I will keep all in one table my table will have estimated 300.000 rows per year. Some people say to me to split table for every year. example 2019_table..
Some people say to split table in 4 tables(subcategories). I need an advice how to do it.
This is my current table https://ibb.co/jfZMKQJ
300K records is not really a large amount, and even over a decade, it is only 3 million records, which also is not very large. Assuming you can tune your database with appropriate indices, I don't see any reason to split into multiple tables. Even if you did have the need for this, you could try something like partitioning the table first (see the documentation).
300K records is not a large amount. Instead of splitting the tables, you better have to put an index on your datetime field assuming it is one of the fields you will use to filter your data.
See this answer for more details: Is it a good idea to index datetime field in mysql?
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So i have a website where users create their own 'shops' and then they can put items in the shops, so would it be practical to create a table for each user's shops or should I just add user IDs to posts?
You should add user ids to shops/posts. There are numerous reasons why you do not want to have separate tables for each user:
MySQL is designed to handle tables with lots of rows, not lots of tables with the same structure.
Structuring queries that goes across tables will require combining lots of different tables.
A small change to the data structure, such as adding a new column, becomes a nightmare.
Foreign key references to the shops becomes impossible.
If the data for a user doesn't fill a single data page, you end up wasting a lot of memory.
There are some reasons why splitting data into separate tables might be necessary. Here are some possible reasons:
Access is more easily managed at the table level than at the row level.
Replication of the data for each user might have different requirements.
An external entity requires that the data be in separate tables or databases.
However, the first set of reasons seems to weigh much more heavily to single table/entity structures. These more advanced concerns do not appear to be an issue.
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I have two tables in my db:
Marketers:
Id, Username, Password, Email
Stores:
Marketer Id, 1 Store, 2 Store, 3 Store, 4 Store, ...., 10 store
there is the names of 10 stores for every marketer in Stores table.
So there is a one to one relationship between these two tables. right?
I'm wondering if it would be better to just combine these two tables or not.
I wan't to send a lot of query for the second table (Stores tables). so I though this would be better if I separate these two cause I rarely need the information stored in 'Marketers table'.
From a good design perspective, you should keep these tables as separate.
for your current requirements,
if you do not need data from Marketers so often, why do you need to include that in Stores. you would just end up fetching extra data each time.
say if tomorrow if some new info and the mapping changes to one to many or vice versa, your current design will work perfectly fine.
and of course from future maintainence view, it is easier to update current design.
although, i would also, suggest you to add an independent primary to Stores table also.
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if I had a mysql table that has, lets say 300 million rows, how would I search for a row using
SELECT id WHERE coloumn = "abc" ;
most efficiently? Can I prepare the data so it would help the sql searching through the data? Or does it parse the rows row by row?
The SQL 101 answer here is an index using CREATE INDEX:
CREATE INDEX column_index ON table_name (`column_name`)
This of course depends on your schema. You can index more than one column as well and can apply UNIQUE constraints to ensure that each value is used only once.
On large tables the CREATE INDEX operation will be brutally slow to create the first time, so schedule some downtime if necessary. Once created it will be kept up-to-date automatically.
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I'm currently trying to build a football database in MySQL. It should store the fixtures from different leagues, plus their results, odds and some other information.
Is the scheme I just created correct or are there any mistakes in it? If so, what can I improve? I'm also not really sure about the link between tblMatch and tblTeams.
Afterwards I want to be able to make a Query where I can select a fixture including the points the home and away team got before the match, plus the average amount of goals of the teams. Like the new fields: 'homeTeamPoints', 'awayTeamPoints' ect.
So my question is: Where should I put these fields? In an extra table or should I put those in the table: 'tblMatch' and store the precalculated values there?
I hope you get what I tried to explain.
Best Regards
-bababow
A few notes:
You will want to replace "homeTeam" and "awayTeam" with "homeTeamID" and "awayTeamId" which will be foreign keys to the tblTeams table. This will enforce that the teams in the match both actually exist.
Remove the matchID and competitionID from the teams. I'm assuming teams can participate in many matches and competitions and therefore this structure will not support that.
What do you want to know about competitions? Is this a tournament? You may want to have a "bracket" and/or "tournament winner" column in there to store the results of the overall tournament.
Those are my main thoughts, other than that it looks OK.
In my perspective if the values of both the fields needs update regularly and table tblMatch data size is large then you should take it into separate table. if both the fields are updates whenever whole record is change then it could be in tblMatch table.
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How to build a nice schema for activities in a database?
One activity can relate to one of 50 different entities.
For now i see only 3 solutions:
Table "activity" contains 50 columns with foreignkeys to the other entities.
This results in a very big table, which i do not like.
Each entity has its own "activity"-Table.
This solution results in nearly doubling the tables in my database, but its clearer. Still not the best solution.
Dirty one: "activity"-table contains one "entityType"-column with the entity-table-name and a other "entityId"-columns with the id to the entity.
But this solution break all foreign-keys and allows to store crap data in my activity table.
Perhaps somebody of you build a CRM and had to face with the same problem.
Does anyone have a better and clean solution?
Like i see, there is only a decission to make. First and second possibility are good because the keep the consistency of the db. In my case i decided to use 1. possibility.