Add 'QueryJob.results' method

docs/bigquery-usage.rst

@@ -284,6 +284,19 @@ Poll until the job is complete:
    >>> job.ended
    datetime.datetime(2015, 7, 23, 9, 30, 21, 334792, tzinfo=<UTC>)
 
+Retrieve the results:
+
+.. doctest::
+
+   >>> results = job.results()
+   >>> rows, total_count, token = query.fetch_data()  # API requet
+   >>> while True:
+   ...     do_something_with(rows)
+   ...     if token is None:
+   ...         break
+   ...     rows, total_count, token = query.fetch_data(
+   ...         page_token=token)       # API request
+
 
 Inserting data (asynchronous)
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

google/cloud/bigquery/_helpers.py

@@ -172,3 +172,55 @@ def _validate(self, value):
         """
         if value not in self.ALLOWED:
             raise ValueError('Pass one of: %s' ', '.join(self.ALLOWED))
+
+
+class UDFResource(object):
+    """Describe a single user-defined function (UDF) resource.
+    :type udf_type: str
+    :param udf_type: the type of the resource ('inlineCode' or 'resourceUri')
+
+    :type value: str
+    :param value: the inline code or resource URI.
+
+    See
+    https://cloud.google.com/bigquery/user-defined-functions#api
+    """
+    def __init__(self, udf_type, value):
+        self.udf_type = udf_type
+        self.value = value
+
+    def __eq__(self, other):
+        return(
+            self.udf_type == other.udf_type and
+            self.value == other.value)
+
+
+class UDFResourcesProperty(object):
+    """Custom property type, holding :class:`UDFResource` instances."""
+
+    def __get__(self, instance, owner):
+        """Descriptor protocol:  accessor"""
+        if instance is None:
+            return self
+        return list(instance._udf_resources)
+
+    def __set__(self, instance, value):
+        """Descriptor protocol:  mutator"""
+        if not all(isinstance(u, UDFResource) for u in value):
+            raise ValueError("udf items must be UDFResource")
+        instance._udf_resources = tuple(value)
+
+
+def _build_udf_resources(resources):
+    """
+    :type resources: sequence of :class:`UDFResource`
+    :param resources: fields to be appended.
+
+    :rtype: mapping
+    :returns: a mapping describing userDefinedFunctionResources for the query.
+    """
+    udfs = []
+    for resource in resources:
+        udf = {resource.udf_type: resource.value}
+        udfs.append(udf)
+    return udfs

google/cloud/bigquery/job.py

@@ -23,62 +23,10 @@
 from google.cloud.bigquery.table import Table
 from google.cloud.bigquery.table import _build_schema_resource
 from google.cloud.bigquery.table import _parse_schema_resource
+from google.cloud.bigquery._helpers import UDFResourcesProperty
 from google.cloud.bigquery._helpers import _EnumProperty
 from google.cloud.bigquery._helpers import _TypedProperty
-
-
-class UDFResource(object):
-    """Describe a single user-defined function (UDF) resource.
-    :type udf_type: str
-    :param udf_type: the type of the resource ('inlineCode' or 'resourceUri')
-
-    :type value: str
-    :param value: the inline code or resource URI.
-
-    See
-    https://cloud.google.com/bigquery/user-defined-functions#api
-    """
-    def __init__(self, udf_type, value):
-        self.udf_type = udf_type
-        self.value = value
-
-    def __eq__(self, other):
-        return(
-            self.udf_type == other.udf_type and
-            self.value == other.value)
-
-
-def _build_udf_resources(resources):
-    """
-    :type resources: sequence of :class:`UDFResource`
-    :param resources: fields to be appended.
-
-    :rtype: mapping
-    :returns: a mapping describing userDefinedFunctionResources for the query.
-    """
-    udfs = []
-    for resource in resources:
-        udf = {resource.udf_type: resource.value}
-        udfs.append(udf)
-    return udfs
-
-
-class UDFResourcesProperty(object):
-    """Custom property type for :class:`QueryJob`.
-
-    Also used by :class:`~google.cloud.bigquery.query.Query`.
-    """
-    def __get__(self, instance, owner):
-        """Descriptor protocol:  accessor"""
-        if instance is None:
-            return self
-        return list(instance._udf_resources)
-
-    def __set__(self, instance, value):
-        """Descriptor protocol:  mutator"""
-        if not all(isinstance(u, UDFResource) for u in value):
-            raise ValueError("udf items must be UDFResource")
-        instance._udf_resources = tuple(value)
+from google.cloud.bigquery._helpers import _build_udf_resources
 
 
 class Compression(_EnumProperty):
@@ -952,7 +900,7 @@ class QueryJob(_AsyncJob):
 
     :type udf_resources: tuple
     :param udf_resources: An iterable of
-                        :class:`google.cloud.bigquery.job.UDFResource`
+                        :class:`google.cloud.bigquery._helpers.UDFResource`
                         (empty by default)
     """
     _JOB_TYPE = 'query'
@@ -1125,3 +1073,12 @@ def from_api_repr(cls, resource, client):
         job = cls(name, query, client=client)
         job._set_properties(resource)
         return job
+
+    def results(self):
+        """Construct a QueryResults instance, bound to this job.
+
+        :rtype: :class:`~google.cloud.bigquery.query.QueryResults`
+        :returns: results instance
+        """
+        from google.cloud.bigquery.query import QueryResults
+        return QueryResults.from_query_job(self)

google/cloud/bigquery/query.py

@@ -20,9 +20,9 @@
 from google.cloud.bigquery._helpers import _rows_from_json
 from google.cloud.bigquery.dataset import Dataset
 from google.cloud.bigquery.job import QueryJob
-from google.cloud.bigquery.job import UDFResourcesProperty
-from google.cloud.bigquery.job import _build_udf_resources
 from google.cloud.bigquery.table import _parse_schema_resource
+from google.cloud.bigquery._helpers import _build_udf_resources
+from google.cloud.bigquery._helpers import UDFResourcesProperty
 
 
 class _SyncQueryConfiguration(object):
@@ -65,6 +65,26 @@ def __init__(self, query, client, udf_resources=()):
         self.udf_resources = udf_resources
         self._job = None
 
+    @classmethod
+    def from_query_job(cls, job):
+        """Factory: construct from an existing job.
+
+        :type job: :class:`~google.cloud.bigquery.job.QueryJob`
+        :param job: existing job
+
+        :rtype: :class:`QueryResults`
+        :returns: the instance, bound to the job
+        """
+        instance = cls(job.query, job._client, job.udf_resources)
+        instance._job = job
+        if job.default_dataset is not None:
+            instance.default_dataset = job.default_dataset
+        if job.use_query_cache is not None:
+            instance.use_query_cache = job.use_query_cache
+        if job.use_legacy_sql is not None:
+            instance.use_legacy_sql = job.use_legacy_sql
+        return instance
+
     @property
     def project(self):
         """Project bound to the job.
@@ -307,6 +327,9 @@ def run(self, client=None):
         :param client: the client to use.  If not passed, falls back to the
                        ``client`` stored on the current dataset.
         """
+        if self._job is not None:
+            raise ValueError("Query job is already running.")
+
         client = self._require_client(client)
         path = '/projects/%s/queries' % (self.project,)
         api_response = client.connection.api_request(

unit_tests/bigquery/test__helpers.py

@@ -386,6 +386,76 @@ def __init__(self):
         self.assertEqual(wrapper._configuration._attr, None)
 
 
+class Test_UDFResourcesProperty(unittest.TestCase):
+
+    def _getTargetClass(self):
+        from google.cloud.bigquery._helpers import UDFResourcesProperty
+        return UDFResourcesProperty
+
+    def _makeOne(self, *args, **kw):
+        return self._getTargetClass()(*args, **kw)
+
+    def _descriptor_and_klass(self):
+        descriptor = self._makeOne()
+
+        class _Test(object):
+            _udf_resources = ()
+            udf_resources = descriptor
+
+        return descriptor, _Test
+
+    def test_class_getter(self):
+        descriptor, klass = self._descriptor_and_klass()
+        self.assertTrue(klass.udf_resources is descriptor)
+
+    def test_instance_getter_empty(self):
+        _, klass = self._descriptor_and_klass()
+        instance = klass()
+        self.assertEqual(instance.udf_resources, [])
+
+    def test_instance_getter_w_non_empty_list(self):
+        from google.cloud.bigquery._helpers import UDFResource
+        RESOURCE_URI = 'gs://some-bucket/js/lib.js'
+        udf_resources = [UDFResource("resourceUri", RESOURCE_URI)]
+        _, klass = self._descriptor_and_klass()
+        instance = klass()
+        instance._udf_resources = tuple(udf_resources)
+
+        self.assertEqual(instance.udf_resources, udf_resources)
+
+    def test_instance_setter_w_empty_list(self):
+        from google.cloud.bigquery._helpers import UDFResource
+        RESOURCE_URI = 'gs://some-bucket/js/lib.js'
+        udf_resources = [UDFResource("resourceUri", RESOURCE_URI)]
+        _, klass = self._descriptor_and_klass()
+        instance = klass()
+        instance._udf_resources = udf_resources
+
+        instance.udf_resources = []
+
+        self.assertEqual(instance.udf_resources, [])
+
+    def test_instance_setter_w_valid_udf(self):
+        from google.cloud.bigquery._helpers import UDFResource
+        RESOURCE_URI = 'gs://some-bucket/js/lib.js'
+        udf_resources = [UDFResource("resourceUri", RESOURCE_URI)]
+        _, klass = self._descriptor_and_klass()
+        instance = klass()
+
+        instance.udf_resources = udf_resources
+
+        self.assertEqual(instance.udf_resources, udf_resources)
+
+    def test_instance_setter_w_bad_udfs(self):
+        _, klass = self._descriptor_and_klass()
+        instance = klass()
+
+        with self.assertRaises(ValueError):
+            instance.udf_resources = ["foo"]
+
+        self.assertEqual(instance.udf_resources, [])
+
+
 class _Field(object):
 
     def __init__(self, mode, name='unknown', field_type='UNKNOWN', fields=()):

unit_tests/bigquery/test_job.py

@@ -15,76 +15,6 @@
 import unittest
 
 
-class Test_UDFResourcesProperty(unittest.TestCase):
-
-    def _getTargetClass(self):
-        from google.cloud.bigquery.job import UDFResourcesProperty
-        return UDFResourcesProperty
-
-    def _makeOne(self, *args, **kw):
-        return self._getTargetClass()(*args, **kw)
-
-    def _descriptor_and_klass(self):
-        descriptor = self._makeOne()
-
-        class _Test(object):
-            _udf_resources = ()
-            udf_resources = descriptor
-
-        return descriptor, _Test
-
-    def test_class_getter(self):
-        descriptor, klass = self._descriptor_and_klass()
-        self.assertTrue(klass.udf_resources is descriptor)
-
-    def test_instance_getter_empty(self):
-        _, klass = self._descriptor_and_klass()
-        instance = klass()
-        self.assertEqual(instance.udf_resources, [])
-
-    def test_instance_getter_w_non_empty_list(self):
-        from google.cloud.bigquery.job import UDFResource
-        RESOURCE_URI = 'gs://some-bucket/js/lib.js'
-        udf_resources = [UDFResource("resourceUri", RESOURCE_URI)]
-        _, klass = self._descriptor_and_klass()
-        instance = klass()
-        instance._udf_resources = tuple(udf_resources)
-
-        self.assertEqual(instance.udf_resources, udf_resources)
-
-    def test_instance_setter_w_empty_list(self):
-        from google.cloud.bigquery.job import UDFResource
-        RESOURCE_URI = 'gs://some-bucket/js/lib.js'
-        udf_resources = [UDFResource("resourceUri", RESOURCE_URI)]
-        _, klass = self._descriptor_and_klass()
-        instance = klass()
-        instance._udf_resources = udf_resources
-
-        instance.udf_resources = []
-
-        self.assertEqual(instance.udf_resources, [])
-
-    def test_instance_setter_w_valid_udf(self):
-        from google.cloud.bigquery.job import UDFResource
-        RESOURCE_URI = 'gs://some-bucket/js/lib.js'
-        udf_resources = [UDFResource("resourceUri", RESOURCE_URI)]
-        _, klass = self._descriptor_and_klass()
-        instance = klass()
-
-        instance.udf_resources = udf_resources
-
-        self.assertEqual(instance.udf_resources, udf_resources)
-
-    def test_instance_setter_w_bad_udfs(self):
-        _, klass = self._descriptor_and_klass()
-        instance = klass()
-
-        with self.assertRaises(ValueError):
-            instance.udf_resources = ["foo"]
-
-        self.assertEqual(instance.udf_resources, [])
-
-
 class _Base(object):
     PROJECT = 'project'
     SOURCE1 = 'http://example.com/source1.csv'
@@ -1456,6 +1386,14 @@ def test_from_api_repr_w_properties(self):
         self.assertTrue(dataset._client is client)
         self._verifyResourceProperties(dataset, RESOURCE)
 
+    def test_results(self):
+        from google.cloud.bigquery.query import QueryResults
+        client = _Client(self.PROJECT)
+        job = self._makeOne(self.JOB_NAME, self.QUERY, client)
+        results = job.results()
+        self.assertIsInstance(results, QueryResults)
+        self.assertTrue(results._job is job)
+
     def test_begin_w_bound_client(self):
         PATH = 'projects/%s/jobs' % self.PROJECT
         RESOURCE = self._makeResource()
@@ -1558,7 +1496,7 @@ def test_begin_w_alternate_client(self):
         self._verifyResourceProperties(job, RESOURCE)
 
     def test_begin_w_bound_client_and_udf(self):
-        from google.cloud.bigquery.job import UDFResource
+        from google.cloud.bigquery._helpers import UDFResource
         RESOURCE_URI = 'gs://some-bucket/js/lib.js'
         PATH = 'projects/%s/jobs' % self.PROJECT
         RESOURCE = self._makeResource()