Create a MaxCompute resource

Create a JAR resource

1. Go to the DataStudio page.
   1. Log on to the DataWorks console.
   2. In the left-side navigation pane, click Workspaces.
   3. In the top navigation bar, select the region where your workspace resides, find the workspace, and then click Data Analytics in the Actions column.
2. On the DataStudio page, move the pointer over the icon and choose MaxCompute > Resource > JAR.
   Alternatively, you can click the name of the desired workflow in the Business Flow section, right-click MaxCompute, and then choose Create > Resource > JAR.

   For more information about how to create a workflow, see Create a workflow.

3. In the Create Resource dialog box, configure the Resource Name and Location parameters.
   Note

   • If the selected JAR package has been uploaded from the MaxCompute client, clear Upload to MaxCompute. If you do not clear it, an error occurs during the upload process.
   • The resource name can be different from the name of the uploaded file.
   • The resource name must be 1 to 128 characters in length and can contain letters, digits, underscores (_), and periods (.). The name is not case-sensitive. A JAR resource name must end with .jar, and a Python resource name must end with .py.
4. Click Upload and select the file that you want to upload.
5. Click Create.
6. Click the icon in the top toolbar to commit the resource to the development environment.
   If the workspace that you use is in standard mode, you must click Deploy in the upper-right corner to deploy the resource after you commit the resource. For more information, see Deploy nodes.

Create a Python resource and register a UDF

1. Create a Python resource.
   1. On the DataStudio page, move the pointer over the icon and choose MaxCompute > Resource > Python.
      Alternatively, you can click the name of the desired workflow in the Business Flow section, right-click MaxCompute, and then choose Create > Resource > Python.
   2. In the Create Resource dialog box, configure the Resource Name and Location parameters.
      Notice The resource name can contain letters, digits, periods (.), underscores (_), and hyphens (-). It must end with .py.
   3. Click Create.
   4. Write code for the created Python resource in the code editor. Sample code:

      from odps.udf import annotate
      @annotate("string->bigint")
      class ipint(object):
          def evaluate(self, ip):
              try:
                  return reduce(lambda x, y: (x << 8) + y, map(int, ip.split('.')))
              except:
                  return 0

   5. Click the icon in the top toolbar to commit the resource.
      If the workspace that you use is in standard mode, you must click Deploy in the upper-right corner to deploy the resource after you commit the resource. For more information, see Deploy nodes.
2. Register a function.
   1. On the DataStudio page, move the pointer over the icon and choose MaxCompute > Function.
      Alternatively, you can click the required workflow, right-click MaxCompute, and then choose Create > Function.
   2. In the Create Function dialog box, configure the Function Name and Location parameters.
   3. Click Create.
   4. In the Register Function section of the configuration tab that appears, enter the class name of the function in the Class Name field and the name of the Python resource that you created in the Resources field, and then click the icon in the top toolbar. In this example, the class name is ipint.ipint.
   5. Check whether the ipint function is valid and meets your expectation. You can create an ODPS SQL node on the DataStudio page to test the ipint function by executing an SQL statement.
   You can also create an ipint.py file on your on-premises machine and upload the file by using the MaxCompute client. For more information about how to use the MaxCompute client, see MaxCompute client.

   odps@ MaxCompute_DOC>add py D:/ipint.py;
   OK: Resource 'ipint.py' have been created.                

   odps@ MaxCompute_DOC>create function ipint as ipint.ipint using ipint.py;
   Success: Function 'ipint' have been created.           

   After the resource file is uploaded, you can register a UDF on the MaxCompute client. For more information, see Functions operations. You can use the UDF after it is registered.

Reference and download a resource

• For more information about how to reference a resource in a function, see Functions operations.
• For more information about how to reference a resource in a node, see Create an ODPS MR node.

If you want to download a resource, find the desired resource in the Resource folder, right-click the resource name, and then select View Versions In the Versions dialog box, click Download. For more information about how to download a resource by using the MaxCompute client, see Resource operations.

Other operations

After you create a resource, you can rename, reference, or delete the resource in the MaxCompute folder of the desired workflow. For more information about how to delete a resource, see DataStudio.