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Replicate Multiple Databricks Accounts
Replicate multiple Databricks accounts to one or many databases.
CData Sync for Databricks is a stand-alone application that provides solutions for a variety of replication scenarios such as replicating sandbox and production instances into your database. Both Sync for Windows and Sync for Java include a command-line interface (CLI) that makes it easy to manage multiple Databricks connections. In this article we show how to use the CLI to replicate multiple Databricks accounts.
About Databricks Data Integration
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
- Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
- Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
- Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
- Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
Getting Started
Configure Databricks Connections
You can save connection and email notification settings in an XML configuration file. To replicate multiple Databricks accounts, use multiple configuration files. Below is an example configuration to replicate Databricks to SQLite:
Windows
<?xml version="1.0" encoding="UTF-8" ?>
<CDataSync>
<DatabaseType>SQLite</DatabaseType>
<DatabaseProvider>System.Data.SQLite</DatabaseProvider>
<ConnectionString>Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;</ConnectionString>
<ReplicateAll>False</ReplicateAll>
<NotificationUserName></NotificationUserName>
<DatabaseConnectionString>Data Source=C:\my.db</DatabaseConnectionString>
<TaskSchedulerStartTime>09:51</TaskSchedulerStartTime>
<TaskSchedulerInterval>Never</TaskSchedulerInterval>
</CDataSync>
Java
<?xml version="1.0" encoding="UTF-8" ?>
<CDataSync>
<DatabaseType>SQLite</DatabaseType>
<DatabaseProvider>org.sqlite.JDBC</DatabaseProvider>
<ConnectionString>Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;</ConnectionString>
<ReplicateAll>False</ReplicateAll>
<NotificationUserName></NotificationUserName>
<DatabaseConnectionString>Data Source=C:\my.db</DatabaseConnectionString>
</CDataSync>
To connect to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
- Server: Set to the Server Hostname of your Databricks cluster.
- HTTPPath: Set to the HTTP Path of your Databricks cluster.
- Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).
Configure Queries for Each Databricks Instance
Sync enables you to control replication with standard SQL. The REPLICATE statement is a high-level command that caches and maintains a table in your database. You can define any SELECT query supported by the Databricks API. The statement below caches and incrementally updates a table of Databricks data:
REPLICATE Customers;
You can specify a file containing the replication queries you want to use to update a particular database. Separate replication statements with semicolons. The following options are useful if you are replicating multiple Databricks accounts into the same database:
You can use a different table prefix in the REPLICATE SELECT statement:
REPLICATE PROD_Customers SELECT * FROM Customers
Alternatively, you can use a different schema:
REPLICATE PROD.Customers SELECT * FROM Customers
Run Sync
After you have configured the connection strings and replication queries, you can run Sync with the following command-line options:
Windows
DatabricksSync.exe -g MyProductionDatabricksConfig.xml -f MyProductionDatabricksSync.sql
Java
java -Xbootclasspath/p:c:\sqlitejdbc.jar -jar DatabricksSync.jar -g MyProductionDatabricksConfig.xml -f MyProductionDatabricksSync.sql
