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    <p>I've been struggling with this problem for a while, running long-running processes which read large amount of data from S3. I decided to post my solution here, for posterity.</p> <p>First of all, I'm sure the hack pointed to by @Glenn works, but I chose not to use it because I consider it intrusive (hacking httplib) and unsafe (it blindly returns what it got, i.e. <code>return e.partial</code>, despite the fact it can be real-error-case).</p> <p>Here is the solution I finally came up with, which seems to be working.</p> <p>I'm using this general-purpose retrying function:</p> <pre><code>import time, logging, httplib, socket def run_with_retries(func, num_retries, sleep = None, exception_types = Exception, on_retry = None): for i in range(num_retries): try: return func() # call the function except exception_types, e: # failed on the known exception if i == num_retries - 1: raise # this was the last attempt. reraise logging.warning('operation failed (%s) with error [%s]. will retry %d more times', func, e, num_retries - i - 1) if on_retry is not None: on_retry() if sleep is not None: time.sleep(sleep) assert 0 # should not reach this point </code></pre> <p>Now, when reading a file from S3, I'm using this function, which internally performs retries in case of <code>IncompleteRead</code> errors. Upon an error, before retrying, I call <code>key.close(fast = True)</code>.</p> <pre><code>def read_s3_file(key): """ Reads the entire contents of a file on S3. @param key: a boto.s3.key.Key instance """ return run_with_retries( key.read, num_retries = 3, sleep = 0.5, exception_types = ( httplib.IncompleteRead, socket.error ), # close the connection before retrying (fast=True so it doesn't attempt to read remaining) on_retry = lambda: key.close(fast = True) ) </code></pre>
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