VOOZH about

URL: https://www.cdata.com/kb/tech/singlestore-cloud-adf.rst

⇱ Import SingleStore Data Using Azure Data Factory

Import SingleStore Data Using Azure Data Factory

👁 Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Use CData Connect AI to connect to SingleStore Data from Azure Data Factory and import live SingleStore data.

Microsoft Azure Data Factory (ADF) is a completely managed, serverless data integration service. When combined with CData Connect AI, ADF enables immediate cloud-to-cloud access to SingleStore data within data flows. This article outlines the process of connecting to SingleStore through Connect AI and accessing SingleStore data within ADF.

CData Connect AI offers a cloud-to-cloud interface tailored for SingleStore, granting you the ability to access live data from SingleStore data within Azure Data Factory without the need for data replication to a natively supported database. Equipped with optimized data processing capabilities by default, CData Connect AI seamlessly channels all supported SQL operations, including filters and JOINs, directly to SingleStore. This harnesses server-side processing to expedite the retrieval of the desired SingleStore data.

Configure SingleStore Connectivity for ADF

Connectivity to SingleStore from Azure Data Factory is made possible through CData Connect AI. To work with SingleStore data from Azure Data Factory, we start by creating and configuring a SingleStore connection.

CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "SingleStore" from the Add Connection panel
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to SingleStore.

    The following connection properties are required in order to connect to data.

    • Server: The host name or IP of the server hosting the SingleStore database.
    • Port: The port of the server hosting the SingleStore database.
    • Database (Optional): The default database to connect to when connecting to the SingleStore Server. If this is not set, tables from all databases will be returned.

    Connect Using Standard Authentication

    To authenticate using standard authentication, set the following:

    • User: The user which will be used to authenticate with the SingleStore server.
    • Password: The password which will be used to authenticate with the SingleStore server.

    Connect Using Integrated Security

    As an alternative to providing the standard username and password, you can set IntegratedSecurity to True to authenticate trusted users to the server via Windows Authentication.

    Connect Using SSL Authentication

    You can leverage SSL authentication to connect to SingleStore data via a secure session. Configure the following connection properties to connect to data:

    • SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
    • SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
    • SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
    • SSLClientCertType: The certificate type of the client store.
    • SSLServerCert: The certificate to be accepted from the server.

    Connect Using SSH Authentication

    Using SSH, you can securely login to a remote machine. To access SingleStore data via SSH, configure the following connection properties:

    • SSHClientCert: Set this to the name of the certificate store for the client certificate.
    • SSHClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
    • SSHClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
    • SSHClientCertType: The certificate type of the client store.
    • SSHPassword: The password that you use to authenticate with the SSH server.
    • SSHPort: The port used for SSH operations.
    • SSHServer: The SSH authentication server you are trying to authenticate against.
    • SSHServerFingerPrint: The SSH Server fingerprint used for verification of the host you are connecting to.
    • SSHUser: Set this to the username that you use to authenticate with the SSH server.
    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add SingleStore Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to SingleStore data from Azure Data Factory.

Access Live SingleStore Data in Azure Data Factory

To establish a connection from Azure Data Factory to the CData Connect AI Virtual SQL Server API, follow these steps.

  1. Login to Azure Data Factory.
    2. 👁 Logging in to ADF
  2. If you have not yet created a Data Factory, Click New -> Dataset.
    3. 👁 Creating new data factory
  3. In the search bar, enter SQL Server and select it when it appears. On the following screen, enter a name for the server. In the Linked service field, select New.
    4. 👁 Selecting SQL Server
  4. Enter the connection settings.
    • Name - enter a name of your choice.
    • Server name - enter the Virtual SQL Server endpoint and port separated by a comma: tds.cdata.com,14333
    • Database name - enter the Connection Name of the CData Connect AI data source you want to connect to (for example, SingleStore1).
    • User Name - enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
    • Password - select Password (not Azure Key Vault) and enter the PAT you generated on the Settings page.
    • Click Create.
    5. 👁 Configuring new linked service
  5. In Set properties, set the Name, choose the Linked service we just created, select a Table name from those available, and Import schema from connection/store. Click OK.
    6. 👁 Setting the properties
  6. After creating the linked service, the following screen should appear:
    7. 👁 Displaying the new screen
  7. Click preview data to see the imported SingleStore table.
    8. 👁 Previewing the imported table
    You can now use this dataset when creating data flows in Azure Data Factory.

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!