feat(bigquery): add timeout parameter to QueryJob.done() method

bigquery/google/cloud/bigquery/client.py

@@ -1081,7 +1081,7 @@ def delete_table(self, table, retry=DEFAULT_RETRY, not_found_ok=False):
                 raise
 
     def _get_query_results(
-        self, job_id, retry, project=None, timeout_ms=None, location=None
+        self, job_id, retry, project=None, timeout_ms=None, location=None, timeout=None,
     ):
         """Get the query results object for a query job.
 
@@ -1096,6 +1096,9 @@ def _get_query_results(
                 (Optional) number of milliseconds the the API call should
                 wait for the query to complete before the request times out.
             location (str): Location of the query job.
+            timeout (Optional[float]):
+                The number of seconds to wait for the underlying HTTP transport
+                before retrying the HTTP request.
 
         Returns:
             google.cloud.bigquery.query._QueryResults:
@@ -1122,7 +1125,7 @@ def _get_query_results(
         # job is complete (from QueryJob.done(), called ultimately from
         # QueryJob.result()). So we don't need to poll here.
         resource = self._call_api(
-            retry, method="GET", path=path, query_params=extra_params
+            retry, method="GET", path=path, query_params=extra_params, timeout=timeout
         )
         return _QueryResults.from_api_repr(resource)
 

bigquery/google/cloud/bigquery/job.py

@@ -14,10 +14,14 @@
 
 """Define API Jobs."""
 
+from __future__ import division
+
+import concurrent.futures
 import copy
 import re
 import threading
 
+import requests
 import six
 from six.moves import http_client
 
@@ -663,7 +667,7 @@ def exists(self, client=None, retry=DEFAULT_RETRY):
         else:
             return True
 
-    def reload(self, client=None, retry=DEFAULT_RETRY):
+    def reload(self, client=None, retry=DEFAULT_RETRY, timeout=None):
         """API call:  refresh job properties via a GET request.
 
         See
@@ -675,6 +679,9 @@ def reload(self, client=None, retry=DEFAULT_RETRY):
                 ``client`` stored on the current dataset.
 
             retry (google.api_core.retry.Retry): (Optional) How to retry the RPC.
+            timeout (Optional[float]):
+                The number of seconds to wait for the underlying HTTP transport
+                before retrying the HTTP request.
         """
         client = self._require_client(client)
 
@@ -683,7 +690,11 @@ def reload(self, client=None, retry=DEFAULT_RETRY):
             extra_params["location"] = self.location
 
         api_response = client._call_api(
-            retry, method="GET", path=self.path, query_params=extra_params
+            retry,
+            method="GET",
+            path=self.path,
+            query_params=extra_params,
+            timeout=timeout,
         )
         self._set_properties(api_response)
 
@@ -2994,9 +3005,16 @@ def estimated_bytes_processed(self):
             result = int(result)
         return result
 
-    def done(self, retry=DEFAULT_RETRY):
+    def done(self, retry=DEFAULT_RETRY, timeout=None):
         """Refresh the job and checks if it is complete.
 
+        Args:
+            retry (Optional[google.api_core.retry.Retry]):
+                How to retry the call that retrieves query results.
+            timeout (Optional[float]):
+                The number of seconds to wait for the underlying HTTP transport
+                before retrying the HTTP request.
+
         Returns:
             bool: True if the job is complete, False otherwise.
         """
@@ -3007,11 +3025,17 @@ def done(self, retry=DEFAULT_RETRY):
         timeout_ms = None
         if self._done_timeout is not None:
             # Subtract a buffer for context switching, network latency, etc.
-            timeout = self._done_timeout - _TIMEOUT_BUFFER_SECS
-            timeout = max(min(timeout, 10), 0)
-            self._done_timeout -= timeout
+            api_timeout = self._done_timeout - _TIMEOUT_BUFFER_SECS
+            api_timeout = max(min(api_timeout, 10), 0)
+            self._done_timeout -= api_timeout
             self._done_timeout = max(0, self._done_timeout)
-            timeout_ms = int(timeout * 1000)
+            timeout_ms = int(api_timeout * 1000)
+
+        if timeout_ms is not None and timeout_ms > 0:
+            if timeout is not None:
+                timeout = min(timeout_ms / 1000, timeout)
+            else:
+                timeout = timeout_ms / 1000
 
         # Do not refresh is the state is already done, as the job will not
         # change once complete.
@@ -3022,13 +3046,14 @@ def done(self, retry=DEFAULT_RETRY):
                 project=self.project,
                 timeout_ms=timeout_ms,
                 location=self.location,
+                timeout=timeout,
             )
 
             # Only reload the job once we know the query is complete.
             # This will ensure that fields such as the destination table are
             # correctly populated.
             if self._query_results.complete:
-                self.reload(retry=retry)
+                self.reload(retry=retry, timeout=timeout)
 
         return self.state == _DONE_STATE
 
@@ -3132,6 +3157,8 @@ def result(
             exc.message += self._format_for_exception(self.query, self.job_id)
             exc.query_job = self
             raise
+        except requests.exceptions.Timeout as exc:
+            six.raise_from(concurrent.futures.TimeoutError, exc)
 
         # If the query job is complete but there are no query results, this was
         # special job, such as a DDL query. Return an empty result set to

bigquery/setup.py

@@ -30,6 +30,8 @@
 release_status = "Development Status :: 5 - Production/Stable"
 dependencies = [
     'enum34; python_version < "3.4"',
+    "google-auth >= 1.9.0, < 2.0dev",
+    "google-api-core >= 1.15.0, < 2.0dev",
     "google-cloud-core >= 1.0.3, < 2.0dev",
     "google-resumable-media >= 0.3.1, != 0.4.0, < 0.6.0dev",
     "protobuf >= 3.6.0",

bigquery/tests/system.py

@@ -26,6 +26,7 @@
 import uuid
 import re
 
+import requests
 import six
 import psutil
 import pytest
@@ -1893,6 +1894,29 @@ def test_query_iter(self):
         row_tuples = [r.values() for r in query_job]
         self.assertEqual(row_tuples, [(1,)])
 
+    def test_querying_data_w_timeout(self):
+        job_config = bigquery.QueryJobConfig()
+        job_config.use_query_cache = False
+
+        query_job = Config.CLIENT.query(
+            """
+            SELECT name, SUM(number) AS total_people
+            FROM `bigquery-public-data.usa_names.usa_1910_current`
+            GROUP BY name
+            """,
+            location="US",
+            job_config=job_config,
+        )
+
+        # Specify a very tight deadline to demonstrate that the timeout
+        # actually has effect.
+        with self.assertRaises(requests.exceptions.Timeout):
+            query_job.done(timeout=0.1)
+
+        # Now wait for the result using a more realistic deadline.
+        query_job.result(timeout=30)
+        self.assertTrue(query_job.done(timeout=30))
+
     @unittest.skipIf(pandas is None, "Requires `pandas`")
     def test_query_results_to_dataframe(self):
         QUERY = """

bigquery/tests/unit/test_client.py

@@ -226,12 +226,14 @@ def test__get_query_results_miss_w_explicit_project_and_timeout(self):
                 project="other-project",
                 location=self.LOCATION,
                 timeout_ms=500,
+                timeout=42,
             )
 
         conn.api_request.assert_called_once_with(
             method="GET",
             path="/projects/other-project/queries/nothere",
             query_params={"maxResults": 0, "timeoutMs": 500, "location": self.LOCATION},
+            timeout=42,
         )
 
     def test__get_query_results_miss_w_client_location(self):
@@ -248,6 +250,7 @@ def test__get_query_results_miss_w_client_location(self):
             method="GET",
             path="/projects/PROJECT/queries/nothere",
             query_params={"maxResults": 0, "location": self.LOCATION},
+            timeout=None,
         )
 
     def test__get_query_results_hit(self):