This section describes how to execute queries using MySQL remoting from any tool that can connect to MySQL.

When executing queries, use a two-part name, in the format:

[<Schema Name>].[<Table Name>] 

where

• Schema Name is the name of the system schema or user-defined schema. (This is normally the service name.)
• Table Name is the name of the table you are copying data from.

SELECT Statements

To create new records:

SELECT * FROM [AmazonS3].[Buckets] WHERE Name = 'TestBucket' 

Note: MySQL treats identifiers as case-insensitive, even if the data source supports case-sensitive identifiers. This can be a problem when the database contains multiple tables of the same name in a single schema, because when using MySQL it is not possible to query tables of the same name that only vary by upper or lower case-sensitive (for example, a schema with one table named Account, and a second table named ACCOUNT).

INSERT, UPDATE, and DELETE Statements

To insert, update, or delete a single row of data against a writeable database, use the two-part name. For example:

INSERT INTO [AmazonS3].[Buckets] (Name) VALUES ('TestBucket'); 

Bulk Operations

To perform bulk operations, use syntax similar to the following:

You can run a bulk INSERT using a SELECT query in place of a VALUES list.

INSERT INTO [AmazonS3].[Buckets] ([Name]) 
SELECT [Name] FROM [Local_Buckets] 

You can run a bulk UPATE using a JOIN with a local table.

UPDATE [AmazonS3].[Buckets]  
INNER JOIN [Local_Buckets] ON [Local_Buckets].[Id] = [AmazonS3].[Buckets].[Id] 
SET [AmazonS3].[Buckets].[Name].[Local_Name] 

You can run a bulk DELETE using the IN filter with sub-SELECT query.

DELETE FROM [AmazonS3].[Buckets WHERE [Id] IN (SELECT [Id] FROM Local_Buckets) 

Execute Stored Procedures

To execute the stored procedure, use:

Call CreateJob('Insert')