SAP Lumira でSQL Analysis Services のOData Feeds を取り込み

API Server でSQL Analysis Services データをフィードし、SAP Lumira でリアルタイムビジュアライゼーションを作成。

CData API Server とADO.NET Provider for SQL Analysis Services (もしくは210+ の他のADO.NET Providers) を使って、SAP Lumira にSQL Analysis Services data をフィードして、ビジュアライズを実現できます。コネクターによりリアルタイムデータ連携が可能になり、リフレッシュ操作で最新のデータを取得可能になります。

Set Up the API Server

Follow the steps below to begin producing secure SQL Analysis Services OData services:

Deploy

The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.

The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.

Connect to SQL Analysis Services

After you deploy the API Server and the ADO.NET Provider for SQL Analysis Services, provide authentication values and other connection properties needed to connect to SQL Analysis Services by clicking Settings -> Connection and adding a new connection in the API Server administration console.

接続するには、Url プロパティを有効なSQL Server Analysis Services エンドポイントに設定して認証を提供します。XMLA アクセスを使用して、HTTP 経由でホストされているSQL Server Analysis Services インスタンスに接続できます。 Microsoft ドキュメント configure HTTP access を参照してSQL Server Analysis Services に接続してください。

SQL をSQL Server Analysis Services に実行するには、ヘルプドキュメントの「Analysis Services データの取得」を参照してください。接続ごとにメタデータを取得する代わりに、CacheLocation を設定できます。

  • HTTP 認証

    AuthScheme を"Basic" または"Digest" に設定してUser とPassword を設定します。CustomHeaders に他の認証値を指定します。

  • Windows (NTLM)

    Windows のUser とPassword を設定して、AuthScheme をNTLM に設定します。

  • Kerberos およびKerberos Delegation

    Kerberos を認証するには、AuthScheme をNEGOTIATE に設定します。Kerberos 委任を使うには、AuthScheme をKERBEROSDELEGATION に設定します。必要があれば、User、Password およびKerberosSPN を設定します。デフォルトでは、本製品は指定されたUrl でSPN と通信しようと試みます。

  • SSL/TLS:

    デフォルトでは、本製品はサーバーの証明書をシステムの信頼できる証明書ストアと照合してSSL/TLS のネゴシエーションを試みます。別の証明書を指定するには、利用可能なフォーマットについてヘルプドキュメントの「SSLServerCert」プロパティを参照してください。

You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.

See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.

When you configure the connection, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

You can then choose the SQL Analysis Services entities you want to allow the API Server access to by clicking Settings -> Resources.

Authorize API Server Users

After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. Access can also be restricted based on IP address; by default, only connections to the local machine are allowed. You can authenticate as well as encrypt connections with SSL.

Connect to SQL Analysis Services from SAP Lumira

Follow the steps below to retrieve SQL Analysis Services data into SAP Lumira. You can execute an SQL query or use the UI.

  1. In SAP Lumira, click File -> New -> Query with SQL. The Add New Dataset dialog is displayed.
  2. Expand the Generic section and click the Generic OData 2.0 Connector option.
  3. In the Service Root URI box, enter the OData endpoint of the API Server. This URL will resemble the following: https://your-server:8032/api.rsc
  4. In the User Name and Password boxes, enter the username and authtoken of an API user. These credentials will be used in HTTP Basic authentication.
  5. Select entities in the tree or enter an SQL query. This article imports SQL Analysis Services Adventure_Works entities.

  6. When you click Connect, SAP Lumira will generate the corresponding OData request and load the results into memory. You can then use any of the data processing tools available in SAP Lumira, such as filters, aggregates, and summary functions.

Create Data Visualizations

After you have imported the data, you can create data visualizations in the Visualize room. Follow the steps below to create a basic chart.

  1. In the Measures and Dimensions pane, drag measures and dimensions onto the x-axis and y-axis fields in the Visualization Tools pane. SAP Lumira automatically detects dimensions and measures from the metadata service of the API Server.

    By default, the SUM function is applied to all measures. Click the gear icon next to a measure to change the default summary.

  2. In the Visualization Tools pane, select the chart type.
  3. In the Chart Canvas pane, apply filters, sort by measures, add rankings, and update the chart with the current SQL Analysis Services data.
 
 
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