Using MySQL to Excel conversion and synchronization tools.
When you start DBConvert or DBSync application in GUI mode it guides you through several steps to set up
the database migration or synchronization:
1. Connect to MySQL source database.
If a source database requires you to log in, you can specify a
user name/ password and host/ port
2. Connect to Excel destination database.
Specifying parameters for destination database looks like the same as for source. Usually, it consists of
defining connection settings and username/password pairs.
NOTE #1: Every DBConvert or DBSync tool has two different
databases in its
name. That means any specified database from a pair can be set up as a source or destination.
Besides, the same type of database may be set up both as a source or destination.
As an example, here is the list of possible migration directions with on-premises databases:
- MySQL to Excel
- Excel to MySQL
- MySQL to MySQL
- Excel to Excel
NOTE #2: Don't be confused by the fact that connections to
cloud databases like
Amazon RDS, Google Cloud, and Heroku are not explicitly
specified in the configuration of a source or destination in the DBConvert / DBSync
interface. To connect to Cloud database instances, use the same settings as you do for traditional
NOTE #3: Your connections to source and target databases stay active until you close
DBConvert/ DBSync application or reopen new connections on "source" and "destination" steps.
Read more about the specific
source/ destination configurations for different
3. Custoimzation and configuration.
At the next step, you can specify precisely which tables, fields, indices, views you want to transfer to
the Excel destination database. Just check/ uncheck the box in front of each
database object you want to convert.
Customize general database/ tables settings. Or set up a particular table , field, index individually when
migrating data from MySQL to Excel.
Check out our articles about Custoimzation and configuration. for detailed information.
The screenshot below sums up general features available in DBConvert software solutions.
4. Detection of potential database migration issues. Errors and Warnings
The database typically constrains certain relations on the data that cannot be violated. On the
customization step, a smart error checker verifies all possible Data integrity
and Referential integrity issues and highlights them, if any, before performing a migration.
By default, DBConvert tries to automatically map the database types of the source
MySQL database to the closest equivalent of the target Excel
database types. However, you can manually change the data types for the entire database globally using the
"Global mapping" or individually for each field.
Check out Smart error checker. Errors and Warnings for more
5. Execution. The final stage of data migration from MySQL
Once you configure source and destination databases for migration in the previous steps, you can start
the actual conversion or synchronization process.
Click the "Commit" button to start
conversion. Also, here, you can monitor the migtation/ synchronization process.
Optionally save connection settings and configuration parameters into the session file to
schedule the launching of sync or migration jobs regularly.
Read more about execution stage available options.
Command line mode
Previously saved sessions can be passed as parameters to Command-Line DBConvert Client. A session keeps
MySQL source and Excel target database connection settings
with other specified options.
C:\Program Files\DBConvert\excel2mysqlPro\excel2mysqlPro_Cons.exe /Session:"Session_Name"
NOTE: First, you have to run the software in GUI mode
to create a session file with
Our applications come with a built-in scheduler to run database migration and sync jobs at
times. Just set the scheduled date and time to execute job sessions automatically.
Find more Information about built-in scheduler