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 account. Contact firstname.lastname@example.org to enable connector.
Creating a connection
Step 1. In the Connections window click the
+ button and type in magento.
Step 2. Enter connection parameters
- URL - the JDBC connection string which starts with
jdbc:magento. The Schema and Url must point to the specific Magento schema and URL.
- User - the user name
- Password - the password
Use Other parameters to specify the connection string options. Read about available connection string options.
Working 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 retrieval of the data 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 that contains 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'
Extracting 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 (FROM).
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 are extracting data from the Magento data object unconditionally).
Step 8. Optionally define the per-field mapping.
Step 9. Add more transformations if needed.
Loading data in Magento
loading data in Magento is similar to loading data into 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 FROM and 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.
Browsing data in Magento
You must have Magento connection to browse objects and run SQL queries.
Use Explorer to browse data and metadata in Magento as well as execute DML and SELECT queries against Magento connection.