Hey all
I want to use sqlite as a storage engine for DNA sequence data. It is
part of a workflow engine for DNA processing. I was wondering whether i
chose the right db design.
The db holds information about DNA sequences. Arranged in three tables.
For every dna sequence one entry in all 3 tables will be made (1:1
Relation). Data will be inserted once, never deleted, but some
attributes get updated.
First a static description table which holds information about a DNA
sequence. The unique key, the source etc. Once inserted the data is
never modified.
CREATE TABLE seq_desc_static(
seq_id INTEGER PRIMARY KEY
file TEXT UNIQUE,
sample TEXT,
source TEXT,
type INTEGER
);
Second a static data table which holds the base sequence for every row
from seq_desc_static, approx. 30 to 800 bases, and for each base two
numerical values, a quality value (two digit) and a integer. This data
will never be modified as well, but will be inserted after the
seq_desc_static table is populated. This table gets huge.
The table seq_data is just a data storage, query only be seq_id
CREATE TABLE seq_data(
seq_id INTEGER PRIMARY KEY,
base TEXT,
qual TEXT,
call TEXT
)';
During the processing of a dna sequence we will generate some additional
infos for every row of seq_desc_static. These informations are kept in
the third table. This table will be updated often during processing.
CREATE TABLE seq_desc_var(
seq_id INTEGER PRIMARY KEY,
clear_range TEXT,
classification INTEGER,
history TEXT
)
Most of the queries select rows from seq_desc_static and then join with
the seq_data table to retrieve the data. My impression was that it is
faster to put the big data in an extra table and to join. Am I right ?
Is it a good solution to create an extra table for the updated data
'seq_desc_var' or should i put it in seq_desc_static table ?
Selecting all data includes two joins ! That is expensive.
Thanks for any comments
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