About SendGrid connector
Etlworks SendGrid connector allows the fastest and easiest way to connect to real-time SendGrid data. The connector works just like any other database connector.
Etlworks partnered with CData to provide access to SendGrid using industry-standard JDBC protocol. Read about CData SendGrid JDBC connector.
When to use SendGrid connector
Enable the SendGrid connector for your Etlworks Integrator account. Contact
email@example.com to enable the connector.
Create a Connection
You can create a Connection in just two steps, and they are the following:
Step 1. In the
Connections window, click
+, and type in
Step 2. Enter the Connection parameters:
API Key: the API Key. Read how to manage SendGrid API Keys.
User: the user name.
Password: the password.
Other Parameters to specify the Connection string options. Read about available Connection string options.
Work with SendGrid
SendGrid Data Model
The connector models SendGrid APIs as relational tables, views, and stored procedures. Most tables, views, and stored procedures are defined in schema files, which are simple, text-based configuration files.
However, the Recipients table is dynamic: The driver connects to SendGrid and gets the metadata for this table by calling the appropriate Web services. Any changes you make to the custom filters you define for Recipients are available when you connect; you can use these custom filters as columns in the
WHERE clause. These custom filters are surfaced in the
Read about the data model.
Stored procedures are available to complement the data available from the Data Model. It may be necessary to update data available from a view using a stored procedure because the data does not provide for 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 a dataset that contains the collection of tuples that constitute the response.
Read about available stored procedures in the data model.
To call stored procure from the SQL Flow or Before/After SQL, use
EXEC sp_name params=value.
EXECUTE my_proc @second = 2, @first = 1, @third = 3;
The connector supports several operations on data, including querying, deleting, modifying, and inserting.
Read about SQL Compliance.
Extract data from SendGrid
Extracting data from SendGrid is similar to extracting data from the relational database.
Here are the steps on how you can extract data from SendGrid:
Step 1. Create SendGrid 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 the SendGrid 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 SendGrid data object unconditionally).
Step 8. Optionally define the per-field Mapping.
Step 9. Add more transformations if needed.
Load data in SendGrid
Loading data in SendGrid is similar to loading data into a relational database.
Here are the steps on how you can load data in SendGrid:
Step 1. Create a source Connection and a Format (if needed).
Step 2. Create a destination SendGrid 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 SendGrid
You must have SendGrid Connection to browse objects and run SQL queries.
Use the Etlworks Explorer to browse data and metadata in SendGrid as well as execute
SELECT queries against the SendGrid Connection.