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This tutorial will guide you on how to expose data in a CSV file as a data service by using the  Create New Data Service  wizard. We will create a data service that can search for data on the file.

We will use the Products.csv  file  that is shipped with WSO2 EI by default.  The Products.csv  file stored in the  <EI_HOME>/samples/data-services/resources  folder contains data about products (cars/motorocyles) that are manufactured in an automobile company. The data table has the following columns: "ID", "Name", "Classification" and "Price".

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1. Click  Add New Datasource  and enter values as shown below. 
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2. Follow the instructions below to fill the datasource details.
   • Datasource Id:  Enter an ID for you datasource. We will enter  CSV  as the datasource Id.
   • Datasource Type:  Select  CSV  as the datasource type from the list. You can now specify the details of the CSV file.
   • CSV File Location : Specify the path to your CSV file. In this tutorial, we are using a sample CSV file that is stored in the following location of your product distribution: ./samples/data-services/resources/Products.csv.
   • Column Separator: Add 'comma' as the column separator.
   • Start Reading From Row: Specify 2 to start reading from the second row.
   • Contains Column Header Row : Select Select true from  from the list.
   • Header row : Enter '21' as the value.
3. Save the datasource. 
   
4. Click Click Next to  to go to the the Queries screen screen.
   

Define a query for the datasource

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1. Click Add New Query to open the Add New Query screen.
2. In the Query ID field, enter an identifier for the query. We will enter Q1.
3. In the  Datasource  field, select the datasource for which you are going to write a query. Select the CSV  datasource that you created previously.
4. Now let's specify output mappings, which will determine how the result from your query will be presented when the query is invoked.  The sample CSV  datasource  we are using contains three columns: ID, Name, Category and Price. We will create an output mapping for each of these columns.  
   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. We will enter Products.
   3. In the Row Name field, specify the XML element that should group each individual result. Enter Product  in this field.
   4. Click Add New Output Mapping to start creating the output mapping for the ID column. Enter values as shown below:
      
   5. Click Add to save the output mapping. You will now have one output mapping listed for the Q1 query.

   6. Create output mappings for the remaining columns given below.

      Mapping Type	Element Name	Datasource Type	Datasource Column Name	Parameter Type	Schema Type
      Element	Category	Column

      Category

      Classification	SCALAR	string
      Element	Price	Column	Price	SCALAR	string
      Element	Name	Column	Name	SCALAR	string

   Info
   Find out more about defining Output Mappings.

5. Click Next to go to the Operations screen.

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1. Click Add New Operation to open the following screen.
   
2. In the  Operation Name  field, enter a name for the operation.
3. In the Query ID  field, select the query that you created.
4. Save the operation.

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