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PolyBase で外部データソースとしてRedis を連携利用

CData ODBC Driver for Redis とSQL Server 2019 のPolyBase を使って、リアルタイムRedis 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 Redis data を組み合わせて使うことで、SQL Server データと同じようにRedis 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Redis data の設定から、T-SQL クエリを使ったRedis data へのアクセスを行います。

The CData ODBC drivers offer unmatched performance for interacting with live Redis data using PolyBase due to optimized data processing built into the driver. When you issue complex SQL queries from SQL Server to Redis, the driver pushes down supported SQL operations, like filters and aggregations, directly to Redis 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 Redis data, using a single query to pull data from distributed sources.

Redis 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 Redis Sys is created automatically).

次の接続プロパティを設定し、Redis インスタンスに接続します。

  • Server: Redis インスタンスが実行されているサーバーの名前またはアドレスに設定します。Port でポートを指定できます。
  • Password: Redis AUTH コマンドを使用するパスワード保護されたRedis インスタンスへの認証に使用されるパスワードに設定します。

UseSSL を設定すると、接続時にSSL/TLS 暗号化をネゴシエートできます。

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

Redis 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.

CREATE MASTER KEY ENCRYPTION BY PASSWORD = 'password';

Creating a Credential Database

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

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

CREATE DATABASE SCOPED CREDENTIAL redis_creds
WITH IDENTITY = 'username', SECRET = 'password';

Create an External Data Source for Redis

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

NOTE: SERVERNAME and PORT corresponds to the Server and Port connection properties for Redis. PUSHDOWN is set to ON by default, meaning the ODBC Driver can leverage server-side processing for complex queries.

CREATE EXTERNAL DATA SOURCE cdata_redis_source
WITH ( 
  LOCATION = 'odbc://SERVERNAME[:PORT]',
  CONNECTION_OPTIONS = 'DSN=CData Redis Sys',
  -- PUSHDOWN = ON | OFF,
  CREDENTIAL = redis_creds
);

Redis のExternal Table を作成

After creating the external data source, use CREATE EXTERNAL TABLE statements to link to Redis data from your SQL Server instance. The table column definitions must match those exposed by the CData ODBC Driver for Redis. 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 Redis Customers would look similar to the following:

CREATE EXTERNAL TABLE Customers(
  City [nvarchar](255) NULL,
  CompanyName [nvarchar](255) NULL,
  ...
) WITH ( 
  LOCATION='Customers',
  DATA_SOURCE=cdata_redis_source
);

Having created external tables for Redis 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 Redis, freeing up local resources and computing power. Download a free, 30-day trial of the ODBC Driver for Redis and start working with live Redis data alongside your SQL Server data today.

 
 
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