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This tutorial will guide you on how to expose data in a google spreadsheet as a data service.

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1. Log in to the management console using the following URL on your browser:  "https://localhost:8243/carbon/".
   

   Note
   For the purpose of this tutorial, be sure to use 'localhost' as the IP in the above URL.

2. Click Create under the Data Service menu to open the Create Data Service wizard.

3. Enter GSpread as the data service name as shown below. Leave the default values for the other fields.
   

4. Click Next to go to the Datasources screen.
   

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1. Click Add New Datasource to open the following screen.
   

2. Follow the instructions below to fill the datasource details.

   1. In the Datasource Id field, enter GoogleSpreadsheet as the value.

   2. In the Datasource Type field, specify the type of datasource for which the data service is created. Select Google Spreadsheet from the list. You will now get the following screen:
      

   3. In the Google Spreadsheet URL field, specify the path to your spreadsheet. The file we are using for this tutorial is https://spreadsheetsdocs.google.com/ccc?key=0Av5bU8aVtFjPdElrUVN3VmZlRkoyM1ZzVlE1MzdtbXc/spreadsheets/d/1o1pCmMFcbWZ_eJ54ymcb486GctTdsR6b4kFERmKrR1w/edit?hl=en&hl=enen#gid=0.

      Note
      Note that this is a private spreadsheet, which is not published on the web. If you want to use a public spreadsheet, see the topic on exposing a public spreadsheet as a data service.

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      visibility visibility

      Select a value for the Visibility field based on whether the spreadsheet is private or public. Since we have used a private spreadsheet in this example, set the visibility to Private. You are asked to provide credentials as well as a browser redirect URL that is known to your browser. Google no longer supports authentication through username and password. Therefore, it is now necessary to provide credentials in the form of a Client ID, Client Secret and Refresh Token.
      

   5. See the google documentation for instructions on how to get an OAuth2 client ID and client secret. In order to get these credentials, you will be asked to provide an authorization redirect URL. Be sure to use the same URL as the browser redirect URL shown above.
      

      Info
      title Setting the hostname
      Note that the Redirect URI should contain the same host name as the Authorized Redirect URl that you provided in the previous step, as well as the host on which the management console runs. If the server is running on your machine, you can simply use "localhost" as the hostname (or the direct IP address, which is 127.0.0.1).  If the server is running on a local network, you must always use a host name instead of the direct IP address. This is because publicly shared IPs cannot be used. You also need to ensure that the hostname you use is known to the browser by registering it in your "/etc/hosts" file.

   6. Update the Client ID and the Client Secret fields in the Edit Datasource screen with the values you got in the previous step.

   7. Click Generate Token. You will now be redirected to the google consent page. After you approve that, the refresh token will be inserted into the New Datasource screen automatically. Note that we just store the refresh token because the access token is going to expire anyway.
      

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      use_query_mode use_query_mode

      The Use Query Mode option allows you to write queries for the spreadsheet in two different modes:

      • Non-Query mode: Allows you to directly expose the contents of a Google spreadsheet as a service.

      • Query mode: Allows you to query a Google spreadsheet in a familiar, SQL-like manner, and expose the result as a service. You need to provide the name of the spreadsheet, in addition to the spreadsheet URL.

      See the next section on defining queries for more information on how the query mode affects how you query data in the spreadsheet.

3. Save the datasource.
   
4. Click Next to go to the Queries screen

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1. Click Add New Query to open the Add New Query screen.
2. Enter Q1 as the query id in the Query ID field.

3. In the Datasource field, select the datasource for which you are going to write a query. Select the datasource for the Google spreadsheet that you created previously.
   

4. You can directly specify the details of the spreadsheet as shown below.
   
5. Define Output Mapping: Now, let's specify how the data fetched from the datasource should be displayed in the output. The google spreadsheet we are using contains several columns with customer data. We will create output mappings for the following columns: ID, CustomerNumber, CustomerName and City.
   
   1. In the Output type field, specify the format in which the query results should be presented. You can select XML, JSON or RDF. We will use XML for this tutorial.
   2. In the Grouped by element field, specify a grouping for all the output mappings. This will be the XML element that will group the query result. Enter Customers in this field. 
   3. In the Row Name field, specify the XML element that should group each individual result.  Enter Customer in this field.
   4. Click Add New Output Mapping to start creating the output mapping for the IDthe customerNumber column. Enter values as shown below:
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   5. Click Add to save the output mapping. You will now have one output mapping listed for the query.

   6. Now, add output mappings for the following:

      Mapping Type	Element Name	Datasource Type	Datasource Column Name	Parameter Type	Schema Type
      element	customerNumber	column	customerNumber	SCALAR	string
      attribute	customerName	column	customerName	SCALAR	string
      attribute	city	column	city	SCALAR	string

      You will now have the following output mappings listed for the query:

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   Info
   Find out more about defining Output Mappings.

6. Click Next to go to the Operations screen.

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