Ormlite Android bulk inserts

问题

can anyone explain why my inserts are taking so long in Ormlite? Doing 1,700 inserts in one sqlite transaction on the desktop takes less than a second. However, when using Ormlite for Android, it's taking about 70 seconds, and I can see each insert in the debugging messages.

When I try and wrap the inserts into one transaction it goes at exactly the same speed. I understand that there is overhead both for Android and for Ormlite, however, I wouldn't expect it to be that great. My code is below:

    this.db = new DatabaseHelper(getApplicationContext());
    dao = db.getAddressDao();
final BufferedReader reader = new BufferedReader(new InputStreamReader(getResources().openRawResource(R.raw.poi)));
    try {
        dao.callBatchTasks(new Callable<Void>() {
            public Void call() throws Exception {
                String line;
                while ((line = reader.readLine()) != null) {
                    String[] columns = line.split(",");
                    Address address = new Address();
                    // setup Address
                    dao.create(address);
                } 
            return null;
         }
        });
    } catch (SQLException e) {
        e.printStackTrace();
    } catch (Exception e) {
        e.printStackTrace();
    }

回答1:

Unfortunately, this may be "expected". I get similar performance when I do that number of inserts under my emulator as well. The batch-tasks and turning off auto-commit don't seem to help.

If you are looking to load a large amount of data into a database, you might consider replaying a database dump instead. See here:

Android OrmLite pre-populate database

回答2:

I've had the same problem, and found a reasonable workaround. This took insert time from 2 seconds to 150ms:

final OrmLiteSqliteOpenHelper myDbHelper = ...;
final SQLiteDatabase db = myDbHelper.getWritableDatabase();
db.beginTransaction();
try{
    // do ormlite stuff as usual, no callBatchTasks() needed

    db.setTransactionSuccessful();
}
finally {
    db.endTransaction();
}

Update:

Just tested this on Xperia M2 Aqua (Android4.4/ARM) and callBatchTasks() is actually faster. 90ms vs 120ms. So I think more details are in order.

We have 3 tables/classes/DAOs: Parent, ChildWrapper, Child.
Relations: Parent to ChildWrapper - 1 to n, ChildWrapper to Child - n to 1.
Code goes like this:

void saveData(xml){
    for (parents in xml){
        parentDao.createOrUpdate(parent);
        for (children in parentXml){
            childDao.createOrUpdate(child);
            childWrapperDao.createOrUpdate(generateWrapper(parent, child));
        }
    }
}

I've got original speed up on a specific Android4.2/MIPS set-top-box (STB). callBatchTasks was the first option because that's what we use througout all the code and it works well.

parentDao.callBatchTasks(
    // ...
    saveData();
    // ...
);

But inserts were slow, so we've tried to nest callBatchTasks for every used DAO, set autocommit off, startThreadConnection and probably something else - don't remember at the moment. To no avail.

From my own experience and other similar posts it seems the problem occurs when several tables/DAOs are involved and it has something to do with implemetation specifics of Android (or SQLite) for concrete devices.

回答3:

My guess would be that you are slowing somewhat because you are doing two IO tasks at one time (at least in the code shown above). You are reading from a file and writing to a database (which is a file). Also, from what I understand transactions should be a reasonable size. 1600 seems like a very high number. I would start with 100 but play around with the size.

So essentially I suggest you "chunk" your reads and inserts.

Read 100 lines to a temp Array, then insert that 100. Then read the next 100, then insert, etc.

来源：https://stackoverflow.com/questions/12608989/ormlite-android-bulk-inserts

标签

android

sqlite

transactions

ormlite