About Magento connector
Etlworks Magento connector allows fast, real-time access to Magento API. The connector works just like any other database connector.
Etlworks partnered with CData to provide access to the Magento API using industry-standard JDBC protocol. Read about CData Magento JDBC connector.
When to use Magento connector
1. You must have a Magento account.
2. Enable Magento connector for your Etlworks Integrator account. Contact
email@example.com to enable connector.
Create a Connection
Step 1. In the
Connections window, click
+, and type in
Step 2. Enter Connection parameters.
URL: the Magento URL. For example
Authentication Method: select either
User and password.
User and passwordis selected enter:
User: the user name.
Password: the password.
Access tokenis selected enter:
Access Token: the access token. Read how to obtain Magento Access Token.
Other parameters to specify the Connection string options. Read about available Connection string options.
Work with Magento
Magneto data model
Our Magento connector supports data models for the API ver 1.x and 2.x.
Read about Magento data models.
Stored Procedures are available to complement the data available from the Data Model. Sometimes, it is necessary to update the data available from a view using a stored procedure because the data does not provide direct, table-like, two-way updates. In these situations, the data retrieval is done using the appropriate view or table, while the update is done by calling a stored procedure. Stored procedures take a list of parameters and return back a dataset containing the collection of tuples that constitute the response.
To call stored procure from the SQL Flow or from Before/After SQL, use
EXEC sp_name params=value syntax. Example:
EXEC CreateSchema TableName = 'table', FileName = 'file'
Extract data from Magento
Extracting data from Magento is similar to extracting data from the relational database.
Step 1. Create Magento Connection which will be used as a source (
Step 3. Create a Flow where the source is a database, and the destination is a Connection created in step 2, for example, a relational database.
Step 4. Add a new source-to-destination transformation.
Step 5. Select Magento Connection created in step 1 as a source Connection and select the data object you are extracting data from.
Step 6. Select
TO Connection, Format (if needed), and object (for example, database table) to load data into.
Step 7. Click
MAPPING and optionally enter
Source Query (you don't need a query if you extract data from the Magento data object unconditionally).
Step 8. Optionally define the per-field Mapping.
Step 9. Add more transformations if needed.
Load data in Magento
Loading data in Magento is similar to loading data into a relational database.
Step 1. Create a source Connection and a Format (if needed).
Step 2. Create a destination Magento Connection.
Step 3. Create a Flow where the destination is a database.
Step 4. Add new source-to-destination transformation.
Step 5. Select
TO Connections and objects (also a
FROM Format if needed).
Step 6. Optionally define the per-field Mapping.
Step 7. Add more transformations if needed.
Browse data in Magento
You must have Magento Connection to browse objects and run SQL queries.
Use Etlworks Explorer to browse data and metadata in Magento and execute
SELECT queries against Magento Connection.