Connect to Syncsort
This feature is in Public Preview.
Syncsort helps you break down data silos by integrating legacy, mainframe, and IBM data with Databricks. You can easily pull data from these sources into Delta Lake.
Here are the steps for using Syncsort with Databricks.
Step 1: Generate a Databricks personal access token
Syncsort authenticates with Databricks using a Databricks personal access token. To generate a personal access token, follow the instructions in Databricks personal access tokens. See also Manage personal access tokens.
As a security best practice, when authenticating with automated tools, systems, scripts, and apps, Databricks recommends you use access tokens belonging to service principals instead of workspace users. To create access tokens for service principals, see Manage access tokens for a service principal.
Step 2: Set up a cluster to support integration needs
Syncsort will write data to an S3 bucket and the Databricks integration cluster will read data from that location. Therefore the integration cluster requires secure access to the S3 bucket.
Secure access to an S3 bucket
To access AWS resources, you can launch the Databricks integration cluster with an instance profile. The instance profile should have access to the staging S3 bucket and the target S3 bucket where you want to write the Delta tables. To create an instance profile and configure the integration cluster to use the role, follow the instructions in Configure S3 access with instance profiles.
As an alternative, you can use IAM credential passthrough, which enables user-specific access to S3 data from a shared cluster.
Specify the cluster configuration
Set Cluster Mode to Standard.
Set Databricks Runtime Version to a Databricks runtime version.
Enable Auto Optimize by adding the following properties to your Spark configuration:
spark.databricks.delta.optimizeWrite.enabled true spark.databricks.delta.autoCompact.enabled true
Configure your cluster depending on your integration and scaling needs.
For cluster configuration details, see Create a cluster.
See Retrieve the connection details for the steps to obtain the JDBC URL and HTTP path.
Step 3: Obtain JDBC and ODBC connection details to connect to a cluster
To connect a Databricks cluster to Syncsort you need the following JDBC/ODBC connection properties:
Step 4: Configure Syncsort with Databricks
Go to the Databricks and Connect for Big Data login page and follow the instructions.