Question

Here is my actual table schema (I’m using Mysql) :

Table experiment :
code(int)
sample_1_id
sample_2_id
... until ... sample_12_id
rna_1_id
rna_2_id
... until ... rna_12_id
experiment_start

How can I optimize both part : sample_n_id and rna_n_id (all are bigint(20) and allow null=true) ?

About values : we can have : ex :
sample_1_id = 2 ,
Sample_2_id = 5 , …

Note : values can be updated.

Ideas ?
Thanks.

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Edit :

I have 3 tables :

Table experiment :
sample_1_id .. sample_12_id (not useful with normalization)
rna_1_id .. rna_12_id (not useful with normalization)


With normalization I should have :

Table Rna :
id
experiment_id
rna_id
rna_name
sample_id (link to a sample in Table sample)

Table Sample :
id
experiment_id
sample_id
sample_name

So, there is a relationship between Rna and Sample table.

Example :

Table rna :
    id =1
    experiment_id = 1
    rna_id = rna1
    rna_name = name1
    sample_id = 2

    Table Sample :
    id = 2
    experiment_id = 1
    sample_id = Sample1
    sample_name = SampName

So, sample_id = 2 => In table sample : id =2 => sample_id = Sample1

Answer 1

I’m not sure what kind of optimization you are looking for but this should definitely be normalized into a table defining experiment-sample and experiment-rna relationships, for example like so:

experiments_to_samples
id  |  experiment_id | sample_id |  


experiments_to_rnas
id  |  experiment_id | rna_id |

that way, every experiment can have an unlimited number of sample and rna references.

This is assuming that there is a table samples and a table rna.