How to connect PolyBase to Parquet

PolyBase for SQL Server allows you to query external data by using the same Transact-SQL syntax used to query a database table. When paired with the CData ODBC Driver for Parquet, you get access to your Parquet data directly alongside your SQL Server data. This article describes creating an external data source and external tables to grant access to live Parquet data using T-SQL queries.

NOTE: PolyBase is only available on SQL Server 19 and above, and only for Standard SQL Server.

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

Connect to Parquet

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 Parquet Sys is created automatically).

Connect to your local Parquet file(s) by setting the URI connection property to the location of the Parquet file.

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

Create an External Data Source for Parquet Data

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 Parquet data.

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

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

Create an External Data Source for Parquet

Execute a CREATE EXTERNAL DATA SOURCE SQL command to create an external data source for Parquet with PolyBase:

• Set the LOCATION parameter , using the DSN and credentials configured earlier.

For Parquet, set SERVERNAME to the URL or address for your server (e.g. 'localhost' or '127.0.0.1' for local servers; the remote URL for remote servers). 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_parquet_source
WITH ( 
  LOCATION = 'odbc://SERVER_URL',
  CONNECTION_OPTIONS = 'DSN=CData Parquet Sys',
  -- PUSHDOWN = ON | OFF,
  CREDENTIAL = parquet_creds
);

Create External Tables for Parquet

After creating the external data source, use CREATE EXTERNAL TABLE statements to link to Parquet data from your SQL Server instance. The table column definitions must match those exposed by the CData ODBC Driver for Parquet. 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 Parquet SampleTable_1 would look similar to the following:

CREATE EXTERNAL TABLE SampleTable_1(
  Id [nvarchar](255) NULL,
  Column1 [nvarchar](255) NULL,
  ...
) WITH ( 
  LOCATION='SampleTable_1',
  DATA_SOURCE=cdata_parquet_source
);

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