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詳細はこちら →DataBind Controls to Azure Data Lake Storage データ in C++Builder
DataBind to Azure Data Lake Storage のデータ in C++Builder with standard components and controls.
最終更新日:2023-06-12The CData ODBC Driver for Azure Data Lake Storage makes it easy to integrate connectivity to live Azure Data Lake Storage のデータ with standard data access components in C++Builder. This article shows how to create a simple visual component library (VCL) application in C++Builder that connects to Azure Data Lake Storage のデータ, executes queries, and displays the results in a grid. An additional section shows how to use FireDAC components to execute commands from code.
Create a Connection to Azure Data Lake Storage データ
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.
Azure Data Lake Storage 接続プロパティの取得・設定方法
Azure Data Lake Storage Gen 2 への接続
Gen 2 Data Lake Storage アカウントに接続するには、以下のプロパティを設定します。
- Account:ストレージアカウントの名前。
- FileSystem:このアカウントに使用されるファイルシステム名。例えば、Azure Blob コンテナの名前。
- Directory(オプション):レプリケートされたファイルが保存される場所へのパス。パスが指定されない場合、ファイルはルートディレクトリに保存されます。
Azure Data Lake Storage Gen 2 への認証
本製品は、次の4つの認証方法をサポートします:アクセスキーの使用、共有アクセス署名の使用、Azure Active Directory OAuth(AzureAD)、Managed Service Identity(AzureMSI)。
アクセスキー
アクセスキーを使用して接続するには、はじめにADLS Gen2 ストレージアカウントで利用可能なアクセスキーを取得する必要があります。Azure ポータルで:
- ADLS Gen2 ストレージアカウントにアクセスします。
- 設定でアクセスキーを選択します。
- 利用可能なアクセスキーの1つの値をAccessKey 接続プロパティにコピーします。
- AuthScheme:AccessKey。
- AccessKey:先にAzure ポータルで取得したアクセスキーの値。
接続の準備ができたら、次のプロパティを設定します。
共有アクセス署名(SAS)
共有アクセス署名を使用して接続するには、はじめにAzure Storage Explorer ツールを使用して署名を生成する必要があります。
接続の準備ができたら、次のプロパティを設定します。
- AuthScheme:SAS。
- SharedAccessSignature:先に生成した共有アクセス署名の値。
AzureAD、AzureMSI での認証方法については、ヘルプドキュメントの「Azure Data Lake Storage Gen 2 への認証」セクションを参照してください。
You can then follow the steps below to use the Data Explorer to create a FireDAC connection to Azure Data Lake Storage.
- In a new VCL Forms application, expand the FireDAC node in the Data Explorer.
- Right-click the ODBC Data Source node in the Data Explorer.
- Click Add New Connection.
- Enter a name for the connection.
- In the FireDAC Connection Editor that appears, set the DataSource property to the name of the ODBC DSN for Azure Data Lake Storage.

Create VCL Applications with Connectivity to Azure Data Lake Storage データ
Follow the procedure below to start querying Azure Data Lake Storage のデータ from a simple VCL application that displays the results of a query in a grid.
-
Drop a TFDConnection component onto the form and set the following properties:
- ConnectionDefName: Select the FireDAC connection to Azure Data Lake Storage.
- Connected: Select True from the menu and, in the dialog that appears, enter your credentials.
-
Drop a TFDQuery component onto the form and set the properties below:
- Connection: Set this property to the TFDConnection component, if this component is not already specified.
SQL: Click the button in the SQL property and enter a query. For example:
SELECT FullPath, Permission FROM Resources WHERE Type = 'FILE'
- Active: Set this property to true.
Drop a TDataSource component onto the form and set the following property:
- DataSet: In the menu for this property, select the name of the TFDQuery component.
-
Drop a TDBGrid control onto the form and set the following property:
- DataSource: Select the name of the TDataSource.
- Drop a TFDGUIxWaitCursor onto the form — this is required to avoid a run-time error.

Execute Commands to Azure Data Lake Storage with FireDAC Components
You can use the TFDConnection and TFQuery components to execute queries to Azure Data Lake Storage のデータ. This section provides azuredatalakespecific examples of executing queries with the TFQuery component.
Connect to Azure Data Lake Storage データ
To connect to the data source, set the Connected property of the TFDConnection component to true. You can set the same properties from code:
FDConnection1->ConnectionDefName = "CData Azure Data Lake Storage ODBC Source";
FDConnection1->Connected = true;
To connect the TFDQuery component to Azure Data Lake Storage のデータ, set the Connection property of the component. When a TFDQuery component is added at design time, its Connection property is automatically set to point to a TFDConnection on the form, as in the application above.
Create Parameterized Queries
To create a parameterized query, use the following syntax below:
FDQuery1->SQL->Text = "select * from Resources where type = :Type";
FDQuery1->ParamByName("type")->AsString = "FILE";
query->Open();
The example above binds a string-type input parameter by name and then opens the dataset that results.
Prepare the Statement
Preparing statements is costly in system resources and time. The connection must be active and open while a statement is prepared. By default, FireDAC prepares the query to avoid recompiling the same query over and over. To disable statement preparation, set ResourceOptions.DirectExecute to True; for example, when you need to execute a query only once.
Execute a Query
To execute a query that returns a result set, such as a select query, use the Open method. The Open method executes the query, returns the result set, and opens it. The Open method will return an error if the query does not produce a result set.
FDQuery1->SQL->Text := "select * from Resources where type = :Type";
FDQuery1.ParamByName("type")->AsString = "FILE";
FDQuery1->Open();
Related Articles
Below you can find other articles for using the CData ODBC Driver with RAD Studio, Delphi, and C++ Builder.