95 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Markdown
		
	
	
	
			
		
		
	
	
			95 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Markdown
		
	
	
	
| # Batch
 | |
| 
 | |
| Each HTTP connection that your application makes results in a certain amount of overhead.
 | |
| This library supports batching,
 | |
| to allow your application to put several API calls into a single HTTP request.
 | |
| Examples of situations when you might want to use batching:
 | |
| * You have many small requests to make and would like to minimize HTTP request overhead.
 | |
| * A user made changes to data while your application was offline,
 | |
|   so your application needs to synchronize its local data with the server
 | |
|   by sending a lot of updates and deletes.
 | |
|   
 | |
| **Note**: You're limited to 1000 calls in a single batch request.
 | |
| If you need to make more calls than that, use multiple batch requests.
 | |
| 
 | |
| **Note**: You cannot use a
 | |
| [media upload](/api-client-library/python/guide/media_upload)
 | |
| object in a batch request.
 | |
| 
 | |
| ## Details
 | |
| You create batch requests by calling `new_batch_http_request()` on your service
 | |
| object, which returns a
 | |
| [BatchHttpRequest](https://google.github.io/google-api-python-client/docs/epy/googleapiclient.http.BatchHttpRequest-class.html)
 | |
| object, and then calling `add()` for each request you want to execute.
 | |
| You may pass in a callback with each request that is called with the response to that request.
 | |
| The callback function arguments are:
 | |
| a unique request identifier for each API call,
 | |
| a response object which contains the API call response,
 | |
| and an exception object which may be set to an exception raised by the API call.
 | |
| After you've added the requests, you call `execute()` to make the requests.
 | |
| The `execute()` function blocks until all callbacks have been called.
 | |
| 
 | |
| In the following code snippet,
 | |
| two API requests are batched to a single HTTP request,
 | |
| and each API request is supplied a callback:
 | |
|   <pre class="prettyprint">
 | |
| See below</pre>
 | |
| You can also supply a single callback that gets called for each response:
 | |
| 
 | |
|   <pre class="prettyprint">See below</pre>
 | |
| 
 | |
| The
 | |
| [add()](https://google.github.io/google-api-python-client/docs/epy/googleapiclient.http.BatchHttpRequest-class.html#add)
 | |
| method also allows you to supply a <code>request_id</code> parameter for each request.
 | |
| These IDs are provided to the callbacks.
 | |
| If you don't supply one, the library creates one for you.
 | |
| The IDs must be unique for each API request,
 | |
| otherwise `add()` raises an exception.
 | |
| 
 | |
| If you supply a callback to both `new_batch_http_request()` and `add()`, they both get called.
 | |
|  
 | |
| 
 | |
| ---
 | |
| 
 | |
| ```python
 | |
| def list_animals(request_id, response, exception):
 | |
|   if exception is not None:
 | |
|     # Do something with the exception
 | |
|     pass
 | |
|   else:
 | |
|     # Do something with the response
 | |
|     pass
 | |
| 
 | |
| def list_farmers(request_id, response):
 | |
|   """Do something with the farmers list response."""
 | |
|   pass
 | |
| 
 | |
| service = build('farm', 'v2')
 | |
| 
 | |
| batch = service.new_batch_http_request()
 | |
| 
 | |
| batch.add(service.animals().list(), callback=list_animals)
 | |
| batch.add(service.farmers().list(), callback=list_farmers)
 | |
| batch.execute()
 | |
| ```
 | |
| 
 | |
| ```python
 | |
| 
 | |
| def insert_animal(request_id, response, exception):
 | |
|   if exception is not None:
 | |
|     # Do something with the exception
 | |
|     pass
 | |
|   else:
 | |
|     # Do something with the response
 | |
|     pass
 | |
| 
 | |
| service = build('farm', 'v2')
 | |
| 
 | |
| batch = service.new_batch_http_request(callback=insert_animal)
 | |
| 
 | |
| batch.add(service.animals().insert(name="sheep"))
 | |
| batch.add(service.animals().insert(name="pig"))
 | |
| batch.add(service.animals().insert(name="llama"))
 | |
| batch.execute()
 | |
| ```
 |