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Load Google Spanner Data to a Database Using Embulk


Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load Google Spanner data to a database.

Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for Google Spanner, Embulk easily loads data from Google Spanner to any supported destination. In this article, we explain how to use the CData JDBC Driver for Google Spanner in Embulk to load Google Spanner data to a MySQL dtabase.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Google Spanner data. When you issue complex SQL queries to Google Spanner, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Spanner and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Configure a JDBC Connection to Google Spanner Data

Before creating a bulk load job in Embulk, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for Google Spanner\lib).

Embulk supports JDBC connectivity, so you can easily connect to Google Spanner and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with Google Spanner.

Google Spanner uses the OAuth authentication standard. To authenticate using OAuth, you can use the embedded credentials or register an app with Google.

See the Getting Started guide in the CData driver documentation for more information.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Google Spanner JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.googlespanner.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a typical JDBC connection string for Google Spanner:

jdbc:googlespanner:ProjectId='project1';InstanceId='instance1';Database='db1';InitiateOAuth=GETANDREFRESH

Load Google Spanner Data in Embulk

After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.

Install Embulk Input & Output Plugins

  1. Install the JDBC Input Plugin in Embulk.
    https://github.com/embulk/embulk-input-jdbc/tree/master/embulk-input-jdbc
    2. embulk gem install embulk-input-jdbc
  2. In this article, we use MySQL as the destination database. You can also choose SQL Server, PostgreSQL, or Google BigQuery as the destination using the output Plugins.
    https://github.com/embulk/embulk-output-jdbc/tree/master/embulk-output-mysql embulk gem install embulk-output-mysql

With the input and output plugins installed, we are ready to load Google Spanner data into MySQL using Embulk.

Create a Job to Load Google Spanner Data

Start by creating a config file in Embulk, using a name like googlespanner-mysql.yml.

  1. For the input plugin options, use the CData JDBC Driver for Google Spanner, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.googlespanner.GoogleSpannerDriver), and the JDBC URL from above
  2. For the output plugin options, use the values and credentials for the MySQL database

Sample Config File (googlespanner-mysql.yml)

in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.googlespanner.jar driver_class: cdata.jdbc.googlespanner.GoogleSpannerDriver url: jdbc:googlespanner:ProjectId='project1';InstanceId='instance1';Database='db1';InitiateOAuth=REFRESH table: "Customer" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Customer" mode: insert

After creating the file, run the Embulk job.

embulk run googlespanner-mysql.yml

After running the the Embulk job, find the Salesforce data in the MySQL table.

Load Filtered Google Spanner Data

In addition to loading data directly from a table, you can use a custom SQL query to have more granular control of the data loaded. You can also perform increment loads by setting a last updated column in a SQL WHERE clause in the query field.

in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.googlespanner.jar driver_class: cdata.jdbc.googlespanner.GoogleSpannerDriver url: jdbc:googlespanner:ProjectId='project1';InstanceId='instance1';Database='db1';InitiateOAuth=REFRESH query: "SELECT Name, TotalDue FROM Customer WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Customer" mode: insert

More Information & Free Trial

By using CData JDBC Driver for Google Spanner as a connector, Embulk can integrate Google Spanner data into your data load jobs. And with drivers for more than 200+ other enterprise sources, you can integrate any enterprise SaaS, big data, or NoSQL source as well. Download a 30-day free trial and get started today.

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