def test_default_exec_parameters(self):
     cluster = Cluster()
     self.assertEqual(cluster._config_mode, _ConfigMode.UNCOMMITTED)
     self.assertEqual(cluster.load_balancing_policy.__class__,
                      default_lbp_factory().__class__)
     self.assertEqual(
         cluster.profile_manager.default.load_balancing_policy.__class__,
         default_lbp_factory().__class__)
     self.assertEqual(cluster.default_retry_policy.__class__, RetryPolicy)
     self.assertEqual(
         cluster.profile_manager.default.retry_policy.__class__,
         RetryPolicy)
     session = Session(cluster,
                       hosts=[Host("127.0.0.1", SimpleConvictionPolicy)])
     self.assertEqual(session.default_timeout, 10.0)
     self.assertEqual(cluster.profile_manager.default.request_timeout, 10.0)
     self.assertEqual(session.default_consistency_level,
                      ConsistencyLevel.LOCAL_ONE)
     self.assertEqual(cluster.profile_manager.default.consistency_level,
                      ConsistencyLevel.LOCAL_ONE)
     self.assertEqual(session.default_serial_consistency_level, None)
     self.assertEqual(
         cluster.profile_manager.default.serial_consistency_level, None)
     self.assertEqual(session.row_factory, named_tuple_factory)
     self.assertEqual(cluster.profile_manager.default.row_factory,
                      named_tuple_factory)
Esempio n. 2
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    def test_exec_profile_clone(self):

        cluster = Cluster(execution_profiles={EXEC_PROFILE_DEFAULT: ExecutionProfile(), 'one': ExecutionProfile()})
        session = Session(cluster, hosts=[Host("127.0.0.1", SimpleConvictionPolicy)])

        profile_attrs = {'request_timeout': 1,
                         'consistency_level': ConsistencyLevel.ANY,
                         'serial_consistency_level': ConsistencyLevel.SERIAL,
                         'row_factory': tuple_factory,
                         'retry_policy': RetryPolicy(),
                         'load_balancing_policy': default_lbp_factory()}
        reference_attributes = ('retry_policy', 'load_balancing_policy')

        # default and one named
        for profile in (EXEC_PROFILE_DEFAULT, 'one'):
            active = session.get_execution_profile(profile)
            clone = session.execution_profile_clone_update(profile)
            self.assertIsNot(clone, active)

            all_updated = session.execution_profile_clone_update(clone, **profile_attrs)
            self.assertIsNot(all_updated, clone)
            for attr, value in profile_attrs.items():
                self.assertEqual(getattr(clone, attr), getattr(active, attr))
                if attr in reference_attributes:
                    self.assertIs(getattr(clone, attr), getattr(active, attr))
                self.assertNotEqual(getattr(all_updated, attr), getattr(active, attr))

        # cannot clone nonexistent profile
        self.assertRaises(ValueError, session.execution_profile_clone_update, 'DOES NOT EXIST', **profile_attrs)
Esempio n. 3
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    def session_setup(self):
        lbp = DSELoadBalancingPolicy(default_lbp_factory())

        ep_graphson2 = GraphExecutionProfile(
            request_timeout=60,
            load_balancing_policy=lbp,
            graph_options=GraphOptions(
                graph_name=self.graph_name,
                graph_protocol=GraphProtocol.GRAPHSON_2_0),
            row_factory=graph_graphson2_row_factory)

        ep_graphson1 = GraphExecutionProfile(
            request_timeout=60,
            load_balancing_policy=lbp,
            graph_options=GraphOptions(graph_name=self.graph_name))

        ep_analytics = GraphAnalyticsExecutionProfile(
            request_timeout=60,
            load_balancing_policy=lbp,
            graph_options=GraphOptions(graph_language=b'gremlin-groovy',
                                       graph_name=self.graph_name))

        self.cluster = Cluster(protocol_version=PROTOCOL_VERSION,
                               execution_profiles={
                                   EXEC_PROFILE_GRAPH_DEFAULT: ep_graphson1,
                                   EXEC_PROFILE_GRAPH_ANALYTICS_DEFAULT:
                                   ep_analytics,
                                   "graphson2": ep_graphson2
                               })
        self.session = self.cluster.connect()
        self.ks_name = self._testMethodName.lower()
        self.cass_version, self.cql_version = get_server_versions()
Esempio n. 4
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    def __init__(self,
                 load_balancing_policy=None,
                 retry_policy=None,
                 consistency_level=ConsistencyLevel.LOCAL_ONE,
                 serial_consistency_level=None,
                 request_timeout=3600. * 24. * 7.,
                 row_factory=graph_object_row_factory,
                 graph_options=None):
        """
        Execution profile with timeout and load balancing appropriate for graph analytics queries.

        See also :class:`~.GraphExecutionPolicy`.

        In addition to default parameters shown in the signature, this profile also defaults ``retry_policy`` to
        :class:`dse.policies.NeverRetryPolicy`, and ``load_balancing_policy`` to one that targets the current Spark
        master.
        """
        load_balancing_policy = load_balancing_policy or DSELoadBalancingPolicy(
            default_lbp_factory())
        graph_options = graph_options or GraphOptions(
            graph_source=b'a', graph_language=b'gremlin-groovy')
        super(GraphAnalyticsExecutionProfile,
              self).__init__(load_balancing_policy, retry_policy,
                             consistency_level, serial_consistency_level,
                             request_timeout, row_factory, graph_options)
Esempio n. 5
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def with_cluster(cluster_fn, hosts, port, username=None, password=None):
    ep = ExecutionProfile(load_balancing_policy=default_lbp_factory())
    cluster = Cluster(hosts,
                      port=port,
                      auth_provider=build_auth_provider(username, password),
                      execution_profiles={EXEC_PROFILE_DEFAULT: ep})
    cluster.connect()
    rv = cluster_fn(cluster)
    cluster.shutdown()
    return rv
Esempio n. 6
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 def test_default_exec_parameters(self):
     cluster = Cluster()
     self.assertEqual(cluster._config_mode, _ConfigMode.UNCOMMITTED)
     self.assertEqual(cluster.load_balancing_policy.__class__, default_lbp_factory().__class__)
     self.assertEqual(cluster.default_retry_policy.__class__, RetryPolicy)
     session = Session(cluster, hosts=[Host("127.0.0.1", SimpleConvictionPolicy)])
     self.assertEqual(session.default_timeout, 10.0)
     self.assertEqual(session.default_consistency_level, ConsistencyLevel.LOCAL_ONE)
     self.assertEqual(session.default_serial_consistency_level, None)
     self.assertEqual(session.row_factory, named_tuple_factory)
Esempio n. 7
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 def connect(self, *args, **kwargs):
     auth = PlainTextAuthProvider(username=self.user,
                                  password=self.password)
     cluster = Cluster(contact_points=self.host,
                       auth_provider=auth,
                       protocol_version=3,
                       load_balancing_policy=default_lbp_factory(),
                       default_retry_policy=RetryPolicy(),
                       reconnection_policy=ConstantReconnectionPolicy(
                           delay=1, max_attempts=10),
                       *args,
                       **kwargs)
     return cluster
Esempio n. 8
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    def __init__(self, *args, **kwargs):
        self._validate_core_version()

        super(Cluster, self).__init__(*args, **kwargs)

        if self._config_mode == _ConfigMode.LEGACY:
            raise ValueError("DSE Cluster uses execution profiles and should not specify legacy parameters "
                             "load_balancing_policy or default_retry_policy. Configure this in a profile instead.")

        lbp = DSELoadBalancingPolicy(default_lbp_factory())
        self.profile_manager.profiles.setdefault(EXEC_PROFILE_GRAPH_DEFAULT, GraphExecutionProfile(load_balancing_policy=lbp))
        self.profile_manager.profiles.setdefault(EXEC_PROFILE_GRAPH_SYSTEM_DEFAULT, GraphExecutionProfile(load_balancing_policy=lbp, request_timeout=60. * 3.))
        self.profile_manager.profiles.setdefault(EXEC_PROFILE_GRAPH_ANALYTICS_DEFAULT, GraphAnalyticsExecutionProfile(load_balancing_policy=lbp))
        self._config_mode = _ConfigMode.PROFILES
Esempio n. 9
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 def test_no_legacy_with_profile(self):
     cluster_init = Cluster(execution_profiles={'name': ExecutionProfile()})
     cluster_add = Cluster()
     cluster_add.add_execution_profile('name', ExecutionProfile())
     # for clusters with profiles added either way...
     for cluster in (cluster_init, cluster_init):
         # don't allow legacy parameters set
         for attr, value in (('default_retry_policy', RetryPolicy()),
                             ('load_balancing_policy', default_lbp_factory())):
             self.assertRaises(ValueError, setattr, cluster, attr, value)
         session = Session(cluster, hosts=[Host("127.0.0.1", SimpleConvictionPolicy)])
         for attr, value in (('default_timeout', 1),
                             ('default_consistency_level', ConsistencyLevel.ANY),
                             ('default_serial_consistency_level', ConsistencyLevel.SERIAL),
                             ('row_factory', tuple_factory)):
             self.assertRaises(ValueError, setattr, session, attr, value)
Esempio n. 10
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    def __init__(self, load_balancing_policy=None, retry_policy=None,
                 consistency_level=ConsistencyLevel.LOCAL_ONE, serial_consistency_level=None,
                 request_timeout=3600. * 24. * 7., row_factory=graph_object_row_factory,
                 graph_options=None):
        """
        Execution profile with timeout and load balancing appropriate for graph analytics queries.

        See also :class:`~.GraphExecutionPolicy`.

        In addition to default parameters shown in the signature, this profile also defaults ``retry_policy`` to
        :class:`dse.policies.NeverRetryPolicy`, and ``load_balancing_policy`` to one that targets the current Spark
        master.
        """
        load_balancing_policy = load_balancing_policy or DSELoadBalancingPolicy(default_lbp_factory())
        graph_options = graph_options or GraphOptions(graph_source=b'a',
                                                      graph_language=b'gremlin-groovy')
        super(GraphAnalyticsExecutionProfile, self).__init__(load_balancing_policy, retry_policy, consistency_level,
                                                             serial_consistency_level, request_timeout, row_factory, graph_options)
Esempio n. 11
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    def __init__(self, *args, **kwargs):
        self._validate_core_version()

        super(Cluster, self).__init__(*args, **kwargs)

        if self._config_mode == _ConfigMode.LEGACY:
            raise ValueError(
                "DSE Cluster uses execution profiles and should not specify legacy parameters "
                "load_balancing_policy or default_retry_policy. Configure this in a profile instead."
            )

        lbp = DSELoadBalancingPolicy(default_lbp_factory())
        self.profile_manager.profiles.setdefault(
            EXEC_PROFILE_GRAPH_DEFAULT,
            GraphExecutionProfile(load_balancing_policy=lbp))
        self.profile_manager.profiles.setdefault(
            EXEC_PROFILE_GRAPH_SYSTEM_DEFAULT,
            GraphExecutionProfile(load_balancing_policy=lbp,
                                  request_timeout=60. * 3.))
        self.profile_manager.profiles.setdefault(
            EXEC_PROFILE_GRAPH_ANALYTICS_DEFAULT,
            GraphAnalyticsExecutionProfile(load_balancing_policy=lbp))
        self._config_mode = _ConfigMode.PROFILES