Comments (3)
Well, the current design aims at storing structured data (i.e., struct array) but not a simple vector since they usually don't need to be indexed by database. If you like, I'd recommend storing vectors as a BLOB using serialization. https://github.com/kyamagu/matlab-serialization
from matlab-sqlite3-driver.
Using transactions helps a bit.
I was evaluating sqlite to use as a data interchange format (vs. text files). For these files, I want easy append functionality and vector writes.
Using transactions helps.
sqlite3.execute(db,'begin transaction');
for i=1:numel(v);
sqlite3.execute(db,'insert into v(v) values (?)', v(i));
end
sqlite3.execute(db,'commit');
from matlab-sqlite3-driver.
If the vector is not too long, you can also generate comma-separated values in insert statement.
values = sprintf('(%g),', v);
sqlite3.execute(['insert into v(v) values ', values(1:end-1)]);
from matlab-sqlite3-driver.
Related Issues (11)
- Embedded zeros terminate BLOB's HOT 2
- Combination of MATLAB release and OS forces restriciton on C++ compiler HOT 3
- Not compiling in Windows 10 HOT 3
- ldd: command not found HOT 2
- Time issue when selecting several columns HOT 2
- Can't Delete DB Files (after close) HOT 7
- Cannot compile in Matlab 2014b on OS X 10.8.5 HOT 1
- std regex in gcc4.8 not working HOT 1
- not compiling on Debian GNU/Linux HOT 5
- Software versioning HOT 2
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from matlab-sqlite3-driver.