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Create a Data Access Object for YouTube Analytics Data using JDBI

A brief overview of creating a SQL Object API for YouTube Analytics data in JDBI.

JDBI is a SQL convenience library for Java that exposes two different style APIs, a fluent style and a SQL object style. The CData JDBC Driver for YouTube Analytics integrates connectivity to live YouTube Analytics data in Java applications. By pairing these technologies, you gain simple, programmatic access to YouTube Analytics data. This article walks through building a basic Data Access Object (DAO) and the accompanying code to read and write YouTube Analytics data.

Create a DAO for the YouTube Analytics Groups Entity

The interface below declares the desired behavior for the SQL object to create a single method for each SQL statement to be implemented.

public interface MyGroupsDAO { //insert new data into YouTube Analytics @SqlUpdate("INSERT INTO Groups (Mine, ContentDetails_ItemCount) values (:mine, :contentDetails_ItemCount)") void insert(@Bind("mine") String mine, @Bind("contentDetails_ItemCount") String contentDetails_ItemCount); //request specific data from YouTube Analytics (String type is used for simplicity) @SqlQuery("SELECT ContentDetails_ItemCount FROM Groups WHERE Mine = :mine") String findContentDetails_ItemCountByMine(@Bind("mine") String mine); /* * close with no args is used to close the connection */ void close(); }

Open a Connection to YouTube Analytics

Collect the necessary connection properties and construct the appropriate JDBC URL for connecting to YouTube Analytics.

YouTube Analytics uses the OAuth authentication standard. You can use the embedded CData OAuth credentials or you can register an application with Google to obtain your own.

In addition to the OAuth values, to access YouTube Analytics data set ChannelId to the Id of a YouTube channel. You can obtain the channel Id in the advanced account settings for your channel. If not specified, the channel of the currently authenticated user will be used.

If you want to generate content owner reports, specify the ContentOwnerId property. This is the Id of the copyright holder for content in YouTube's rights management system. The content owner is the person or organization that claims videos and sets their monetization policy.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the YouTube Analytics JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.youtubeanalytics.jar

Fill in the connection properties and copy the connection string to the clipboard.

A connection string for YouTube Analytics will typically look like the following:

jdbc:youtubeanalytics:ContentOwnerId=MyContentOwnerId;ChannelId=MyChannelId;InitiateOAuth=GETANDREFRESH

Use the configured JDBC URL to obtain an instance of the DAO interface. The particular method shown below will open a handle bound to the instance, so the instance needs to be closed explicitly to release the handle and the bound JDBC connection.

DBI dbi = new DBI("jdbc:youtubeanalytics:ContentOwnerId=MyContentOwnerId;ChannelId=MyChannelId;InitiateOAuth=GETANDREFRESH"); MyGroupsDAO dao = dbi.open(MyGroupsDAO.class); //do stuff with the DAO dao.close();

Read YouTube Analytics Data

With the connection open to YouTube Analytics, simply call the previously defined method to retrieve data from the Groups entity in YouTube Analytics.

//disply the result of our 'find' method String contentDetails_ItemCount = dao.findContentDetails_ItemCountByMine("True"); System.out.println(contentDetails_ItemCount);

Write YouTube Analytics Data

It is also simple to write data to YouTube Analytics, using the previously defined method.

//add a new entry to the Groups entity dao.insert(newMine, newContentDetails_ItemCount);

Since the JDBI library is able to work with JDBC connections, you can easily produce a SQL Object API for YouTube Analytics by integrating with the CData JDBC Driver for YouTube Analytics. Download a free trial and work with live YouTube Analytics data in custom Java applications today.