Node.js からMarkLogic Data をクエリ

API Server は、データを外部に公開します。CData API Server のOData エンドポイントを使って、Node.js からMarkLogic data へのCRUD クエリを実行します。

CData API Server とADO.NET Provider for MarkLogic(もしくは170+ の他のADO.NET Providers)を使って、MarkLogic をOData エンドポイントして公開し、Node.js からシンプルなHTTP リクエストでクエリを実現します。本記事ではAPI Server を使ってJSON でフォーマットされたMarkLogic データをNode.js でリクエストする方法を説明します。

Set Up the API Server

Follow the steps below to begin producing secure MarkLogic 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 MarkLogic

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

Set User, Password, and Server to the credentials for the MarkLogic account and the address of the server you want to connect to. You should also specify the REST API Port if you want to use a specific instance of a REST Server.

You can then choose the MarkLogic 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; all IP addresses except the local machine are restricted by default. You can authenticate as well as encrypt connections with SSL.

Consume MarkLogic OData Feeds from Node.js

OData feeds are easy to work with in Node.js. You can use the HTTP client in Node.js to request JSON-formatted data from the API Server's OData endpoint. After making the request, you can construct the body of the response and call the JSON.parse() function to parse it into records.

The code below will make an authenticated request for Customer data. The example URL below applies a simple filter that searches for records with a value of 1 in the Id column.

var http = require('http'); http.get({ protocol: "http:", hostname: "MyServer.com", port: MyPort, path: "/api.rsc/Customer?$filter=" + encodeURIComponent("Id eq '1'"), auth: 'MyUser:MyAuthtoken' }, function(res) { var body = ''; res.on('data', function(chunk) { body += chunk; }); res.on('end', function() { console.log(body); var jsonData = JSON.parse(body); }); }).on('error', function(e) { console.log("Error: ", e); });
 
 
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