I have an SQLite database in Android and I use a ContentProvider
to handle the operations, which are persisted to a table with a UNIQUE qualifier in a column.
Problem:
However, when I insert
duplicated values into the database, it doesn't break my code per se, but it still spits thousands of SQLiteConstraintException
Log lines, and to my user that just feels like polluting the Log, something unpolished. I've tried catching the exception just to experiment, but it still logs.
Question:
So, how do I silent those log lines? Is that even possible?
Please read the comment below for the reason to ask the question.
Error:
Time column has the UNIQUE
constraint:
Error inserting Factor=2.0 Time=1325375465000 Extra=none
android.database.sqlite.SQLiteConstraintException: error code 19: constraint failed
at android.database.sqlite.SQLiteStatement.native_execute(Native Method)
at android.database.sqlite.SQLiteStatement.execute(SQLiteStatement.java:55)
at android.database.sqlite.SQLiteDatabase.insertWithOnConflict(SQLiteDatabase.java:1549)
at android.database.sqlite.SQLiteDatabase.insert(SQLiteDatabase.java:1410)
at mypackage.myapp.provider.DataProvider.bulkInsert(DataProvider.java:353)
at android.content.ContentProvider$Transport.bulkInsert(ContentProvider.java:179)
at android.content.ContentResolver.bulkInsert(ContentResolver.java:646)
at mypackage.myapp.service.MyService.onHandleIntent(MyService.java:96)
at android.app.IntentService$ServiceHandler.handleMessage(IntentService.java:59)
at android.os.Handler.dispatchMessage(Handler.java:99)
at android.os.Looper.loop(Looper.java:123)
at android.os.HandlerThread.run(HandlerThread.java:60)
Constraints are the rules enforced on a data columns on table. These are used to limit the type of data that can go into a table. This ensures the accuracy and reliability of the data in the database. Constraints could be column level or table level.
The current version of SQLite handles multiple connections through its thread-mode options: single-thread, multi-thread, and serialized. Single-thread is the original SQLite processing mode, handling one transaction at a time, either a read or a write from one and only one connection.
An SQLITE_SCHEMA error is returned when a prepared SQL statement is no longer valid and cannot be executed. When this occurs, the statement must be recompiled from SQL using the sqlite3_prepare() API. An SQLITE_SCHEMA error can only occur when using the sqlite3_prepare(), and sqlite3_step() interfaces to run SQL.
Yes SQLite can support multiple users at once. It does however lock the whole database when writing, so if you have lots of concurrent writes it is not the database you want (usually the time the database is locked is a few milliseconds - so for most uses this does not matter).
If you can formulate or modify the SQL yourself, either for INSERT
or for the initial CREATE TABLE
, you can use SQLite's conflict handling extensions. There are two options for how to do this:
INSERT OR IGNORE
rather than just INSERT
. You can also use OR REPLACE
, OR ABORT
, or any of several other reactions.ON CONFLICT IGNORE
clause for the UNIQUE
constraint. That will cause inserts or updates which violate the constraint to silently do nothing.I find the idea of using INSERT OR IGNORE
/INSERT OR REPLACE
to handle duplicate data, particularly in concurrent environments, to be very clean. It checks for duplication once - in the database - and avoids race conditions where you check for existence first (admittedly not a problem if only one process/thread is accessing the database).
However, if the duplicates are a result of a bug (rather than duplicate events/actions that your code is just not explicitly de-duplicating), then this could just be hiding the bug rather than fixing it. Lack of explicit de-dulication, however, is not a bug in my opinion. So if the fix is to check for duplicates, use the database; if the real problem is that they were generated in the first place (at the actual application level, not the database row level), then I would probably look for that problem.
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