From step 3 in the Host or IP Address field, copy and paste the value from the Godaddy control panel into the Hostname field. ![]() In the control panel, you can upload files with the File Manager.īy entering the URL of razorsql_mysql_bridge.php and the password for your database, you can create a secure connection. You can change it by editing the PHP file that contains r admin and renaming it. The password to the RazorSQL bridge is radmin. It will be added to your Godaddy site if you don’t already have razorsql_mysql_bridge.php in your database. If the direct connection is not set up, RazorSQL PHP bridges will be required. If your GoDaddy database is set up to allow direct connections (i.e., remote access is enabled), you should be able to connect directly to RazorSQL. RazorSQL’s PHP bridge enables users to connect to their GoDaddy databases via a remote machine. ![]() Once you have logged in, you will be able to view and edit the database. To do this, you will need to use a third-party application such as phpMyAdmin. Once you have created or edited a user, you can then log in to the database using that user’s credentials. On the next page, you will be able to change the user’s password or grant them access to the database. To edit an existing user, click on the “Edit” button next to their name. On the next page, you will be able to create a new user or edit an existing user. To access a specific database, click on the “Manage User” button next to it. You will now see a list of all the databases associated with your account. On the next page, scroll down to the “Databases” section and click on the “ MySQL Databases” icon. Then, click on the “My Products” tab and select “Web Hosting.” Next, click on the “Launch” button next to your domain name. To access your database using the control panel, first log in to your GoDaddy account. sqlite3 dumpfile.If you have a MySQL database hosted on GoDaddy, you can access it using GoDaddy’s hosting control panel, or via a third-party application such as phpMyAdmin. Then, dump a copy of your database: mysqldump -u root -p -compatible=ansi -skip-opt generator > dumpfileĪnd now, run the conversion: mysql-to-sqlite.sh dumpfileĪnd if all goes well, you should now have a dumpfile.db which can be used via sqlite3. Please review $1.err and $1.sql for details." Output file: $1.db"Įcho "There were errors during conversion. Perl -e 'local $/ $_= s/,\n\)/\n\)/gs print "begin \n" print print "commit \n"' |Įcho "Conversion completed without error. Sed 's/ auto_increment/ primary key autoincrement/g' | Multiple queries, with small result sets, need toįirst, you need this script (put it into a file called 'mysql-to-sqlite.sh'): #!/bin/bash use-buffered-cursors Use MySQLCursorBuffered for reading the MySQLĭatabase. V, -vacuum Use the VACUUM command to rebuild the SQLiteĭatabase file, repacking it into a minimal amount ![]() c, -chunk INTEGER Chunk reading/writing SQL records d, -mysql-database TEXT MySQL database name f, -sqlite-file PATH SQLite3 database file Here's how you use it: Usage: mysql2sqlite It is invokable via command line but can also be used as a standard Python class which you can include in some larger Python orchestration. The tool is also thoroughly tested and works on Python 2.7 and 3.5 . I also put in some effort to correctly translate most of the datatypes from MySQL to SQLite. It uses generators and chunking of the data being processed and is therefore very memory efficient. The upside of it being written in Python is that it's cross platform (unlike a shell/bash script) and can all be easily installed using pip install (even on Windows). It was by no means an easy task and I ended up writing this Python package that does the job. I faced the same problem about 2 days ago when I had to convert a 20GB MySQL database to SQLite.
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