Executing Queries
This section describes how to execute queries using MySQL remoting from any tool that can connect to MySQL.
When executing queries, you use a two-part name format, as shown below,
[<Schema Name (normally but not always the service name)>].[<Table Name>]where
- Schema Name is the name of the system schema or user-defined schema.
- Table Name is the name of the table you are copying data from.
SELECT Statements
To create new records:SELECT * FROM [Asana].[projects] WHERE Archived = 'true'Note that if the data source supports case-sensitive identifiers, it is not possible to query tables of the same name that only vary by upper or lower case-sensitive (ex: Account and ACCOUNT in the same schema). This is because MySQL treats identifiers as case-insensitive, so multiple tables of the same name in a single schema are fundamentally incompatible with the MySQL protocols.
INSERT, UPDATE, and DELETE Statements
To insert, update, or delete a single row of data (that is, not a batch of records), you need to use the two-part name. For example:INSERT INTO [Asana].[projects] (Archived) VALUES ('true');
Bulk Operations
To perform bulk operations, you can use syntax similar to the following:
You can run a bulk INSERT using a SELECT query in place of a VALUES list.
INSERT INTO [Asana].[projects] ([Archived]) SELECT [Archived] FROM [Local_projects]You can run a bulk UPATE using a JOIN with a local table.
UPDATE [Asana].[projects] INNER JOIN [Local_projects] ON [Local_projects].[Id] = [Asana].[projects].[Id] SET [Asana].[projects].[Archived].[Local_Archived]You can run a bulk DELETE using the IN filter with sub-SELECT query.
DELETE FROM [Asana].[projects WHERE [Id] IN (SELECT [Id] FROM Local_projects)
Execute Stored Procedures
Use the following to run the stored procedure:Call CreateJob('Insert')