I have two tables in my models:
1)Owner:
OwnerName
2)Car
OwnerKey
CarName
CarPrice
Here while creating a row in Owner table, I also add the Cars for that owner Car table. So all the cars for a particular owner are stored sequentially in the Car table.Now if I want to ask whether should I use cluster indexing or not? Once the cars for a particular owner are saved, no cars are then added for that owner neither any car is deleted, just the price is changed. What should I do for a faster access? And how to implement cluster index via django?
You question is asking for information that requires studying the SQL, not just the Django code.
If you have only a thousand owners and cars, things will probably be fast enough. If you have a million owners or cars, you need indexes, not necessarily "clustered".
A "clustered" key is implemented in MySQL as a PRIMARY KEY
. You can have only one per table, and its values must be unique.
I Django, do something like this to get a PK:
column1 = models.IntegerField(primary_key = True)
Please provide the table schema you already have. That is, go beyond Django and get SHOW CREATE TABLE
. (What you have provided is too vague; hence my answer is too vague.)
References:
PRIMARY KEY
. There are no "clustered" indexes other than the PRIMARY KEY
. However, a secondary key can have similar performance if it is a "covering index". That term refers to an index that contains all the columns that are found in the SELECT
. Also , the columns are ordered correctly.
Let's see your SELECT
statements in order to better judge what is needed.
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