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PolyBase で外部データソースとしてGoogle Spanner を連携利用

CData ODBC Driver for Google Spanner とSQL Server 2019 のPolyBase を使って、リアルタイムGoogle Spanner data に外部データソースとしてアクセス。

SQL Server のPolyBase は、データベーステーブルをクエリするTransact-SQL シンタックスを使って、外部データにクエリする仕組みです。 CData ODBC Drivers for Google Spanner data を組み合わせて使うことで、SQL Server データと同じようにGoogle Spanner data へのアクセスが可能です。 本記事では、PolyBase 外部データソースへのGoogle Spanner data の設定から、T-SQL クエリを使ったGoogle Spanner data へのアクセスを行います。

The CData ODBC drivers offer unmatched performance for interacting with live Google Spanner data using PolyBase due to optimized data processing built into the driver. When you issue complex SQL queries from SQL Server to Google Spanner, the driver pushes down supported SQL operations, like filters and aggregations, directly to Google Spanner and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. And with PolyBase, you can also join SQL Server data with Google Spanner data, using a single query to pull data from distributed sources.

Google Spanner への接続

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs. To create an external data source in SQL Server using PolyBase, configure a System DSN (CData Google Spanner Sys is created automatically).

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.

Click "Test Connection" to ensure that the DSN is connected to Google Spanner properly. Navigate to the Tables tab to review the table definitions for Google Spanner.

Google Spanner Data の外部データソースの作成

After configuring the connection, you need to create a master encryption key and a credential database for the external data source.

Creating a Master Encryption Key

Execute the following SQL command to create a new master key, 'ENCRYPTION,' to encrypt the credentials for the external data source.


Creating a Credential Database

Execute the following SQL command to create credentials for the external data source connected to Google Spanner data.

NOTE: Since Google Spanner does not require a User or Password to authenticate, you may use whatever values you wish for IDENTITY and SECRET.

WITH IDENTITY = 'username', SECRET = 'password';

Create an External Data Source for Google Spanner

Execute the following SQL command to create an external data source for Google Spanner with PolyBase, using the DSN and credentials configured earlier.

For Google Spanner, set SERVERNAME to 'localhost' or '' and leave PORT empty. PUSHDOWN is set to ON by default, meaning the ODBC Driver can leverage server-side processing for complex queries.

CREATE EXTERNAL DATA SOURCE cdata_googlespanner_source
  CONNECTION_OPTIONS = 'DSN=CData Google Spanner Sys',
  CREDENTIAL = googlespanner_creds

Google Spanner のExternal Table を作成

After creating the external data source, use CREATE EXTERNAL TABLE statements to link to Google Spanner data from your SQL Server instance. The table column definitions must match those exposed by the CData ODBC Driver for Google Spanner. You can refer to the Tables tab of the DSN Configuration Wizard to see the table definition.

Sample CREATE TABLE Statement

The statement to create an external table based on a Google Spanner Customer would look similar to the following:

  Name [nvarchar](255) NULL,
  TotalDue [nvarchar](255) NULL,
) WITH ( 

Having created external tables for Google Spanner in your SQL Server instance, you are now able to query local and remote data simultaneously. Thanks to built-in query processing in the CData ODBC Driver, you know that as much query processing as possible is being pushed to Google Spanner, freeing up local resources and computing power. Download a free, 30-day trial of the ODBC Driver for Google Spanner and start working with live Google Spanner data alongside your SQL Server data today.