SQLite CursorWindow limit - How to avoid crash

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I have to execute a query and store the result in a list, the function that I use is this follow :

List<SpoolInDB> getSpoolInRecords(String label, boolean getLastInserted) {
    List<SpoolInDB> spoolInList = new ArrayList<>();
    try {
        if (mdb == null)
            mdb = mdbHelper.getWritableDatabase();

        SQLiteQueryBuilder qb = new SQLiteQueryBuilder();
        qb.setTables(TABLE_SPOOLIN);

        Cursor c = qb.query(mdb, null, " label='" + label + "'", null, null, null, " dateins " + (getLastInserted ? "desc" : "asc"));
        if (c != null) {
            c.moveToFirst();
            if (c.getCount() > 0) {
                int ndxid = c.getColumnIndex("id");
                int ndxserverID = c.getColumnIndex("serverID");
                int ndxlabel = c.getColumnIndex("label");
                int ndxvalue = c.getColumnIndex("value");
                int ndxpriority = c.getColumnIndex("priority");
                int ndxdateins = c.getColumnIndex("dateins");

                do {
                    SpoolInDB spoolIn = new SpoolInDB();
                    spoolIn.setId(c.getString(ndxid));
                    spoolIn.setServerID(c.getString(ndxserverID));
                    spoolIn.setLabel(c.getString(ndxlabel));
                    spoolIn.setValue(c.getString(ndxvalue));
                    spoolIn.setPriority(c.getString(ndxpriority));
                    spoolIn.setDateins(c.getString(ndxdateins));
                    spoolInList.add(spoolIn);

                } while (c.moveToNext());
            }
            c.close();
        }
    } catch (Exception e) {
        wil.WriteFile("4)DbGest - Exception: " + e.toString());
    }
    return spoolInList;
}

In a normal context this function work perfectly, but in some case this function produce an exception:

Window is full: requested allocation 3209815 bytes, free space 2096647 bytes, window size 2097152 bytes

This problem occour because in the "values" field I could store json datas that in some case could be bigger than 2mb, I can't forecast when the data is bigger than 2mb, I need a solution that work always.

How I can solve my problem ?

1 Answers
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