sqlite prepopulation - sqlite

How to prepopulate an sqlite database at development time? I found a tutorial how to use a prepopulated sqlite with android but I want to populate the database with data from a text file. Is it possible to write a java program that will read the data from a text file insert into sqlite database and save the database?

Yes, what you described is what you need to do:
Read data from a text file
Generate "insert" sentences from it
Run them against your SQLite database
Done. Your DB is now pre-populated.
Make sure you flag this "pre population:" command so you don't run it twice.

Related

How to recover data from a corrupt SQLite3 database?

I've recovered data from a formatted hard drive for use in a lawsuit. The data is Skype logs, which are stored in SQLite3 databases. Unfortunately, the disk was formatted and a new copy of OS X was installed on the drive. I scanned the drive and found the files I am looking for, but it seems that the database I'm after is corrupt.
I tried the following command I found by searching on SO:
$ sqlite3 mydata.db ".dump" | sqlite3 new.db
Unfortunately, dumping this way excludes the table of records I'm looking for (Messages). Since I can get the format of the DB from Skype by just logging in with another account and generating a new main.db for it, do I have any additional options for extracting the contents of the corrupt DB? Failing that, is there a way to export the raw contents of the database in a text file or something? I only care about grabbing certain messages, which I can search for.
When the database is corrupt, the ".dump" command extracts all of the usable information, but then ends with a ROLLBACK because it encountered corruption.
Instead, store the output in a file:
$ sqlite3 mydata.db ".dump" > mydata.dump
Then, you can view the data directly in that file, or you can change the last line from "ROLLBACK" to "COMMIT" using a text editor. After that, you can load the valid portion of the data into a database using:
$ sqlite3 new.db < mydata.dump
First check for the PRAGMA integrity_check in command console and click on play button, note down the errors and repair them seperately or try exporting and then importing SQL file to new database and restart the database, it generally removes the slug files stored in the cache. If the above method does not work out then you can try SQLite database recovery tool https://www.recoveryandmanagement.com/repair-sqlite-database-manually/

Converting sqlite to sqlite format inside Titanium Appcelerator

Here is my issue. I am using Titanium Appcelerator to build an app that accesses my database and other various things. I have two separate files. One being an et.sql file in readable format and the other et.sql file with a top line of SQLite format 3���# and the rest being ASCII or some text in an unreadable format.
var db = Ti.Database.install('et.sqlite','et');
var db = Ti.Database.open('et');
This produces an sql file that gets installed inside a folder that the app will use in the future.
When using this et.sql file with the header of SQLite format 3Ä# it is accepting it inside Titanium and the app builds with my code, the other file that is formatted it doesn't accept. It seems like it needs to be in sqlite format.
I am using SQLite Manager for Firefox to update my sqlite file with new tables, etc that in turn gets installed in Titanium that produces an sql file. Problem here is I can't seem to reproduce a sql file that is in sqlite format. The previous developer didn't leave any notes on how to do this and I've struggled to produce this file in a format that works. I've looked into using sqlite3 command line, but I've had no luck. How do I get titanium or sqlite for that matter to dump this file in sqlite format so that it can be used inside Titanium?
I am fairly new to sqlite so if I'm overseeing anything just point it out.
You can use the sqlite3 command-line tool to convert between text files containing SQL statements and SQLite database files:
sqlite3 newfile.sqlite < oldfile.sql
sqlite3 oldfile.sqlite .dump > newfile.sql

Sqlite database exception: file is encrypted or is not a database in blackberry?

I am working on a firm application in which I need to create a local database on my device.
I create my local database through create statement[ It works well]
Then I use that file and perform insert operation through fire-fox sqlite plugin, I need to insert aprox 2000 rows at a time so I can not use code. I just run insert manually through sqlite plugin in fir-fox.
After that I just use that file in my place of my local database.
When I run select query through my code, It show Exception:java.lang.Exception: Exception: In create or prepare statement in DBnet.rim.device.api.database.DatabaseException: SELECT distinct productline FROM T_Electrical ORDER BY productline: file is encrypted or is not a database
I got the solution of this problem, I was doing a silly mistake by creating a file manually by right click in my RES folder, that is not correct. We need to create the database completely from SQlite plugin, then it will work fine. "Create data base from SQLITE(FIle too) and perform insertion operation from SQLITE, then it will work fine"
This is very rare problem, but i think it might be helpful for someone like me....!:)
You should check to see if there is a version problem between the SQLite used by your Firefox installation and that on the BlackBerry. I think I had the same error when I tried to build a database file with SQLite version 2.
You also shouldn't need to create the database file on the device. To create large tables I use a Ubuntu machine and the sqlite3 command line. Create the file, create the tables, insert the data and build indexes. Then I just copy the file onto the device in the proper directory.
For me it was a simple thing. One password was set to that db. I just used it and prolem got solved.

How can I convert my Access database (.accdb) to SQLite?

How can I convert my Access database (.accdb) to an SQLite database(.sqlite)?
May be you can use several step algoritm:
1. Export (convert) Access table or query to Excel file
2. Save Excel file as CSV file.
3. Use any SQLLite manager (for example, phpLiteAdmin) to import data from CSV file to exist SQLLite table.
Except Android and IOS, that use SQLLite, there are still webhostings, that use no more database engine, except for SQLLite.
1) If you want to convert a structure of db you shoud use any DB-modeling tools:
create new model from existing Access Database
generate sql scripte for creating SQLite database
use this script in SQL helper
2) If you want to import data from Access Database to your android app. I think you can do case #1, migrate all data from Access Database to temporary SQLite database, save it to asset folder and rewrite from asset to internal SQLite database during first app. start

How to export SQLite to JSON?

Is there any way to get a SQLite view on a JSON file?
Thanks
On recent versions of SQLite, this is built in. The following:
sqlite3> .mode json
sqlite3> .once out.json
sqlite3> SELECT * from foo;
writes the table foo to out.json.
Or, directly from the command line:
sqlite3 db.sqlite3 '.mode json' '.once out.json' 'select * from foo'
.once, which writes the output of the next SQL command to the indicated file, has been in SQLite since 3.8.5 in 2014.
The .mode json is newer though, added in 3.33.0 in 2020-08. It comes with ubuntu 20.10 but older operating systems are unlikely to have that feature in their built-in SQLite version.
SQLiteStudio (sqlitestudio.pl) can export from sqlite3 database to JSON. SQLiteStudio is C++ Qt-based, open source GPLv3 licensed, Linux/macOS/Windows application with a git repository here: 'pawelsalawa/sqlitestudio'.
There are certainly ways to do this. For example, you could write a custom program that parses the JSON input via your favorite JSON processor and then generate the equivalent SQL statements to create tables, insert the rows, etc. and then import that into a SQLite capable tool (DB Browser for SQLite) to generate the actual SQLite db file.
I suspect you will be hard pressed to find a general purpose tool to accomplish this, as the content of the JSON input could vary widely, and in fact may not map well into a relational database at all.

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