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B.x\\*+>engsxIWTcڭ?XAK tI4 7)Qݓ+ؽHC29^x eAMUryHTNEF$1^Ԭ-ٍ;r1$>G B)qHCX@J;L}Y.d *#y^3"rp7ejuhQG ^<"VRcT[GRwJҞ?UfD~#]JK6`vC.XԐN`NCɃ63ޙ Iydq. t{:dMOsL>XW[ I {rǕ6{ kɷ^m Go_y9=?nH faC(S-<kj ws$Eb`oi$~ L%:$UPQ& d[ @'] ;*[bj9^TFYyź4mvB`G/?}Ԭ???@@{Gz?$@>@@ d~R# Helper for run_in_executor() A decorator to run the given method in the ThreadPoolExecutor. A helper function that wraps socket.getaddrinfo and returns None when it fails to, e.g. resolve one of the hostnames. Used to address PYTHON-895. Default execution profile for graph execution. See :class:`.ExecutionProfile` for base attributes. Note that if not explicitly set, the row_factory and graph_options.graph_protocol are resolved during the query execution. These options will resolve to graph_graphson3_row_factory and GraphProtocol.GRAPHSON_3_0 for the core graph engine (DSE 6.8+), otherwise graph_object_row_factory and GraphProtocol.GRAPHSON_1_0 In addition to default parameters shown in the signature, this profile also defaults ``retry_policy`` to :class:`cassandra.policies.NeverRetryPolicy`. 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:`cassandra.policies.NeverRetryPolicy`, and ``load_balancing_policy`` to one that targets the current Spark master. Note: The graph_options.graph_source is set automatically to b'a' (analytics) when using GraphAnalyticsExecutionProfile. This is mandatory to target analytics nodes. internal-only; no checks are done because this entry is populated on cluster init When :attr:`~.Cluster.protocol_version` is 2 or higher, this should be an instance of a subclass of :class:`~cassandra.auth.AuthProvider`, such as :class:`~.PlainTextAuthProvider`. When :attr:`~.Cluster.protocol_version` is 1, this should be a function that accepts one argument, the IP address of a node, and returns a dict of credentials for that node. When not using authentication, this should be left as :const:`None`. An instance of :class:`.policies.LoadBalancingPolicy` or one of its subclasses. .. versionchanged:: 2.6.0 Defaults to :class:`~.TokenAwarePolicy` (:class:`~.DCAwareRoundRobinPolicy`). when using CPython (where the murmur3 extension is available). :class:`~.DCAwareRoundRobinPolicy` otherwise. Default local DC will be chosen from contact points. **Please see** :class:`~.DCAwareRoundRobinPolicy` **for a discussion on default behavior with respect to DC locality and remote nodes.** A default :class:`.policies.RetryPolicy` instance to use for all :class:`.Statement` objects which do not have a :attr:`~.Statement.retry_policy` explicitly set. Flag indicating whether internal schema metadata is updated. When disabled, the driver does not populate Cluster.metadata.keyspaces on connect, or on schema change events. This can be used to speed initial connection, and reduce load on client and server during operation. Turning this off gives away token aware request routing, and programmatic inspection of the metadata model. Flag indicating whether internal token metadata is updated. When disabled, the driver does not query node token information on connect, or on topology change events. This can be used to speed initial connection, and reduce load on client and server during operation. It is most useful in large clusters using vnodes, where the token map can be expensive to compute. Turning this off gives away token aware request routing, and programmatic inspection of the token ring. ``executor_threads`` defines the number of threads in a pool for handling asynchronous tasks such as establishing connection pools or refreshing metadata. Any of the mutable Cluster attributes may be set as keyword arguments to the constructor. Create a ThreadPoolExecutor for the cluster. In most cases, the built-in `concurrent.futures.ThreadPoolExecutor` is used. Python 3.7+ and Eventlet cause the `concurrent.futures.ThreadPoolExecutor` to hang indefinitely. In that case, the user needs to have the `futurist` package so we can use the `futurist.GreenThreadPoolExecutor` class instead. :param kwargs: All keyword args are passed to the ThreadPoolExecutor constructor. :return: A ThreadPoolExecutor instance. Registers a class to use to represent a particular user-defined type. Query parameters for this user-defined type will be assumed to be instances of `klass`. Result sets for this user-defined type will be instances of `klass`. If no class is registered for a user-defined type, a namedtuple will be used for result sets, and non-prepared statements may not encode parameters for this type correctly. `keyspace` is the name of the keyspace that the UDT is defined in. `user_type` is the string name of the UDT to register the mapping for. `klass` should be a class with attributes whose names match the fields of the user-defined type. The constructor must accept kwargs for each of the fields in the UDT. This method should only be called after the type has been created within Cassandra. Example:: cluster = Cluster(protocol_version=3) session = cluster.connect() session.set_keyspace('mykeyspace') session.execute("CREATE TYPE address (street text, zipcode int)") session.execute("CREATE TABLE users (id int PRIMARY KEY, location address)") # create a class to map to the "address" UDT class Address(object): def __init__(self, street, zipcode): self.street = street self.zipcode = zipcode cluster.register_user_type('mykeyspace', 'address', Address) # insert a row using an instance of Address session.execute("INSERT INTO users (id, location) VALUES (%s, %s)", (0, Address("123 Main St.", 78723))) # results will include Address instances results = session.execute("SELECT * FROM users") row = results[0] print(row.id, row.location.street, row.location.zipcode) Adds an :class:`.ExecutionProfile` to the cluster. This makes it available for use by ``name`` in :meth:`.Session.execute` and :meth:`.Session.execute_async`. This method will raise if the profile already exists. Normally profiles will be injected at cluster initialization via ``Cluster(execution_profiles)``. This method provides a way of adding them dynamically. Adding a new profile updates the connection pools according to the specified ``load_balancing_policy``. By default, this method will wait up to five seconds for the pool creation to complete, so the profile can be used immediately upon return. This behavior can be controlled using ``pool_wait_timeout`` (see `concurrent.futures.wait `_ for timeout semantics). Sets a threshold for concurrent requests per connection, below which connections will be considered for disposal (down to core connections; see :meth:`~Cluster.set_core_connections_per_host`). Pertains to connection pool management in protocol versions {1,2}. Sets a threshold for concurrent requests per connection, above which new connections will be created to a host (up to max connections; see :meth:`~Cluster.set_max_connections_per_host`). Pertains to connection pool management in protocol versions {1,2}. Gets the minimum number of connections per Session that will be opened for each host with :class:`~.HostDistance` equal to `host_distance`. The default is 2 for :attr:`~HostDistance.LOCAL` and 1 for :attr:`~HostDistance.REMOTE`. This property is ignored if :attr:`~.Cluster.protocol_version` is 3 or higher. Sets the minimum number of connections per Session that will be opened for each host with :class:`~.HostDistance` equal to `host_distance`. The default is 2 for :attr:`~HostDistance.LOCAL` and 1 for :attr:`~HostDistance.REMOTE`. Protocol version 1 and 2 are limited in the number of concurrent requests they can send per connection. The driver implements connection pooling to support higher levels of concurrency. If :attr:`~.Cluster.protocol_version` is set to 3 or higher, this is not supported (there is always one connection per host, unless the host is remote and :attr:`connect_to_remote_hosts` is :const:`False`) and using this will result in an :exc:`~.UnsupportedOperation`. Gets the maximum number of connections per Session that will be opened for each host with :class:`~.HostDistance` equal to `host_distance`. The default is 8 for :attr:`~HostDistance.LOCAL` and 2 for :attr:`~HostDistance.REMOTE`. This property is ignored if :attr:`~.Cluster.protocol_version` is 3 or higher. Sets the maximum number of connections per Session that will be opened for each host with :class:`~.HostDistance` equal to `host_distance`. The default is 2 for :attr:`~HostDistance.LOCAL` and 1 for :attr:`~HostDistance.REMOTE`. If :attr:`~.Cluster.protocol_version` is set to 3 or higher, this is not supported (there is always one connection per host, unless the host is remote and :attr:`connect_to_remote_hosts` is :const:`False`) and using this will result in an :exc:`~.UnsupportedOperation`. Called to create a new connection with proper configuration. Intended for internal use only. Creates and returns a new :class:`~.Session` object. If `keyspace` is specified, that keyspace will be the default keyspace for operations on the ``Session``. `wait_for_all_pools` specifies whether this call should wait for all connection pools to be established or attempted. Default is `False`, which means it will return when the first successful connection is established. Remaining pools are added asynchronously. Closes all sessions and connection associated with this Cluster. To ensure all connections are properly closed, **you should always call shutdown() on a Cluster instance when you are done with it**. Once shutdown, a Cluster should not be used for any purpose. Intended for internal use only. Intended for internal use only. Called when adding initial contact points and when the control connection subsequently discovers a new node. Returns a Host instance, and a flag indicating whether it was new in the metadata. Intended for internal use only. Called when the control connection observes that a node has left the ring. Intended for internal use only. Adds a :class:`cassandra.policies.HostStateListener` subclass instance to the list of listeners to be notified when a host is added, removed, marked up, or marked down. Removes a registered listener. If any host has fewer than the configured number of core connections open, attempt to open connections until that number is met. Returns the control connection host metadata. Synchronously refresh all schema metadata. By default, the timeout for this operation is governed by :attr:`~.Cluster.max_schema_agreement_wait` and :attr:`~.Cluster.control_connection_timeout`. Passing max_schema_agreement_wait here overrides :attr:`~.Cluster.max_schema_agreement_wait`. Setting max_schema_agreement_wait <= 0 will bypass schema agreement and refresh schema immediately. An Exception is raised if schema refresh fails for any reason. Synchronously refresh keyspace metadata. This applies to keyspace-level information such as replication and durability settings. It does not refresh tables, types, etc. contained in the keyspace. See :meth:`~.Cluster.refresh_schema_metadata` for description of ``max_schema_agreement_wait`` behavior Synchronously refresh table metadata. This applies to a table, and any triggers or indexes attached to the table. See :meth:`~.Cluster.refresh_schema_metadata` for description of ``max_schema_agreement_wait`` behavior Synchronously refresh materialized view metadata. See :meth:`~.Cluster.refresh_schema_metadata` for description of ``max_schema_agreement_wait`` behavior Synchronously refresh user defined type metadata. See :meth:`~.Cluster.refresh_schema_metadata` for description of ``max_schema_agreement_wait`` behavior Synchronously refresh user defined function metadata. ``function`` is a :class:`cassandra.UserFunctionDescriptor`. See :meth:`~.Cluster.refresh_schema_metadata` for description of ``max_schema_agreement_wait`` behavior Synchronously refresh user defined aggregate metadata. ``aggregate`` is a :class:`cassandra.UserAggregateDescriptor`. See :meth:`~.Cluster.refresh_schema_metadata` for description of ``max_schema_agreement_wait`` behavior Synchronously refresh the node list and token metadata `force_token_rebuild` can be used to rebuild the token map metadata, even if no new nodes are discovered. An Exception is raised if node refresh fails for any reason. *Deprecated:* set :attr:`~.Cluster.schema_metadata_enabled` :attr:`~.Cluster.token_metadata_enabled` instead Sets a flag to enable (True) or disable (False) all metadata refresh queries. This applies to both schema and node topology. Disabling this is useful to minimize refreshes during multiple changes. Meta refresh must be enabled for the driver to become aware of any cluster topology changes or schema updates. The format to return row results in. By default, each returned row will be a named tuple. You can alternatively use any of the following: - :func:`cassandra.query.tuple_factory` - return a result row as a tuple - :func:`cassandra.query.named_tuple_factory` - return a result row as a named tuple - :func:`cassandra.query.dict_factory` - return a result row as a dict - :func:`cassandra.query.ordered_dict_factory` - return a result row as an OrderedDict A default timeout, measured in seconds, for queries executed through :meth:`.execute()` or :meth:`.execute_async()`. This default may be overridden with the `timeout` parameter for either of those methods. Setting this to :const:`None` will cause no timeouts to be set by default. Please see :meth:`.ResponseFuture.result` for details on the scope and effect of this timeout. .. versionadded:: 2.0.0 *Deprecated:* use execution profiles instead The default :class:`~ConsistencyLevel` for operations executed through this session. This default may be overridden by setting the :attr:`~.Statement.consistency_level` on individual statements. .. versionadded:: 1.2.0 .. versionchanged:: 3.0.0 default changed from ONE to LOCAL_ONE *Deprecated:* use execution profiles instead The default :class:`~ConsistencyLevel` for serial phase of conditional updates executed through this session. This default may be overridden by setting the :attr:`~.Statement.serial_consistency_level` on individual statements. Only valid for ``protocol_version >= 2``. Execute the given query and synchronously wait for the response. If an error is encountered while executing the query, an Exception will be raised. `query` may be a query string or an instance of :class:`cassandra.query.Statement`. `parameters` may be a sequence or dict of parameters to bind. If a sequence is used, ``%s`` should be used the placeholder for each argument. If a dict is used, ``%(name)s`` style placeholders must be used. `timeout` should specify a floating-point timeout (in seconds) after which an :exc:`.OperationTimedOut` exception will be raised if the query has not completed. If not set, the timeout defaults to the request_timeout of the selected ``execution_profile``. If set to :const:`None`, there is no timeout. Please see :meth:`.ResponseFuture.result` for details on the scope and effect of this timeout. If `trace` is set to :const:`True`, the query will be sent with tracing enabled. The trace details can be obtained using the returned :class:`.ResultSet` object. `custom_payload` is a :ref:`custom_payload` dict to be passed to the server. If `query` is a Statement with its own custom_payload. The message payload will be a union of the two, with the values specified here taking precedence. `execution_profile` is the execution profile to use for this request. It can be a key to a profile configured via :meth:`Cluster.add_execution_profile` or an instance (from :meth:`Session.execution_profile_clone_update`, for example `paging_state` is an optional paging state, reused from a previous :class:`ResultSet`. `host` is the :class:`cassandra.pool.Host` that should handle the query. If the host specified is down or not yet connected, the query will fail with :class:`NoHostAvailable`. Using this is discouraged except in a few cases, e.g., querying node-local tables and applying schema changes. `execute_as` the user that will be used on the server to execute the request. This is only available on a DSE cluster. Execute the given query and return a :class:`~.ResponseFuture` object which callbacks may be attached to for asynchronous response delivery. You may also call :meth:`~.ResponseFuture.result()` on the :class:`.ResponseFuture` to synchronously block for results at any time. See :meth:`Session.execute` for parameter definitions. Example usage:: >>> session = cluster.connect() >>> future = session.execute_async("SELECT * FROM mycf") >>> def log_results(results): ... for row in results: ... log.info("Results: %s", row) >>> def log_error(exc): >>> log.error("Operation failed: %s", exc) >>> future.add_callbacks(log_results, log_error) Async execution with blocking wait for results:: >>> future = session.execute_async("SELECT * FROM mycf") >>> # do other stuff... >>> try: ... results = future.result() ... except Exception: ... log.exception("Operation failed:") Executes a sequence of (statement, parameters) tuples concurrently. Each ``parameters`` item must be a sequence or :const:`None`. The `concurrency` parameter controls how many statements will be executed concurrently. When :attr:`.Cluster.protocol_version` is set to 1 or 2, it is recommended that this be kept below 100 times the number of core connections per host times the number of connected hosts (see :meth:`.Cluster.set_core_connections_per_host`). If that amount is exceeded, the event loop thread may attempt to block on new connection creation, substantially impacting throughput. If :attr:`~.Cluster.protocol_version` is 3 or higher, you can safely experiment with higher levels of concurrency. If `raise_on_first_error` is left as :const:`True`, execution will stop after the first failed statement and the corresponding exception will be raised. `results_generator` controls how the results are returned. * If :const:`False`, the results are returned only after all requests have completed. * If :const:`True`, a generator expression is returned. Using a generator results in a constrained memory footprint when the results set will be large -- results are yielded as they return instead of materializing the entire list at once. The trade for lower memory footprint is marginal CPU overhead (more thread coordination and sorting out-of-order results on-the-fly). `execution_profile` argument is the execution profile to use for this request, it is passed directly to :meth:`Session.execute_async`. A sequence of ``ExecutionResult(success, result_or_exc)`` namedtuples is returned in the same order that the statements were passed in. If ``success`` is :const:`False`, there was an error executing the statement, and ``result_or_exc`` will be an :class:`Exception`. If ``success`` is :const:`True`, ``result_or_exc`` will be the query result. Example usage:: select_statement = session.prepare("SELECT * FROM users WHERE id=?") statements_and_params = [] for user_id in user_ids: params = (user_id, ) statements_and_params.append((select_statement, params)) results = session.execute_concurrent(statements_and_params, raise_on_first_error=False) for (success, result) in results: if not success: handle_error(result) # result will be an Exception else: process_user(result[0]) # result will be a list of rows Note: in the case that `generators` are used, it is important to ensure the consumers do not block or attempt further synchronous requests, because no further IO will be processed until the consumer returns. This may also produce a deadlock in the IO event thread. Like :meth:`~cassandra.concurrent.execute_concurrent()`, but takes a single statement and a sequence of parameters. Each item in ``parameters`` should be a sequence or :const:`None`. Example usage:: statement = session.prepare("INSERT INTO mytable (a, b) VALUES (1, ?)") parameters = [(x,) for x in range(1000)] session.execute_concurrent_with_args(statement, parameters, concurrency=50) Asynchronously executes a sequence of (statement, parameters) tuples concurrently. Args: session: Cassandra session object. statement_and_parameters: Iterable of (prepared CQL statement, bind parameters) tuples. concurrency (int, optional): Number of concurrent operations. Default is 100. raise_on_first_error (bool, optional): If True, execution stops on the first error. Default is True. execution_profile (ExecutionProfile, optional): Execution profile to use. Default is EXEC_PROFILE_DEFAULT. Returns: A `Future` object that will be completed when all operations are done. Executes a Gremlin query string or GraphStatement synchronously, and returns a ResultSet from this execution. `parameters` is dict of named parameters to bind. The values must be JSON-serializable. `execution_profile`: Selects an execution profile for the request. `execute_as` the user that will be used on the server to execute the request. Execute the graph query and return a :class:`ResponseFuture` object which callbacks may be attached to for asynchronous response delivery. You may also call ``ResponseFuture.result()`` to synchronously block for results at any time. Verify if we can enable graph paging. This executed only once when the session is created. Determine the GraphSON protocol and row factory for a graph query. This is useful to configure automatically the execution profile when executing a query on a core graph. If `graph_protocol` is not explicitly specified, the following rules apply: - Default to GraphProtocol.GRAPHSON_1_0, or GRAPHSON_2_0 if the `graph_language` is not gremlin-groovy. - If `graph_options.graph_name` is specified and is a Core graph, set GraphSON_3_0. If `row_factory` is not explicitly specified, the following rules apply: - Default to graph_object_row_factory. - If `graph_options.graph_name` is specified and is a Core graph, set graph_graphson3_row_factory. Returns the ResponseFuture before calling send_request() on it Returns the execution profile associated with the provided ``name``. :param name: The name (or key) of the execution profile. Returns a clone of the ``ep`` profile. ``kwargs`` can be specified to update attributes of the returned profile. This is a shallow clone, so any objects referenced by the profile are shared. This means Load Balancing Policy is maintained by inclusion in the active profiles. It also means updating any other rich objects will be seen by the active profile. In cases where this is not desirable, be sure to replace the instance instead of manipulating the shared object. Adds a callback with arguments to be called when any request is created. It will be invoked as `fn(response_future, *args, **kwargs)` after each client request is created, and before the request is sent. This can be used to create extensions by adding result callbacks to the response future. `response_future` is the :class:`.ResponseFuture` for the request. Note that the init callback is done on the client thread creating the request, so you may need to consider synchronization if you have multiple threads. Any callbacks added to the response future will be executed on the event loop thread, so the normal advice about minimizing cycles and avoiding blocking apply (see Note in :meth:`.ResponseFuture.add_callbacks`. See `this example `_ in the source tree for an example. Removes a callback and arguments from the list. See :meth:`.Session.add_request_init_listener`. Prepares a query string, returning a :class:`~cassandra.query.PreparedStatement` instance which can be used as follows:: >>> session = cluster.connect("mykeyspace") >>> query = "INSERT INTO users (id, name, age) VALUES (?, ?, ?)" >>> prepared = session.prepare(query) >>> session.execute(prepared, (user.id, user.name, user.age)) Or you may bind values to the prepared statement ahead of time:: >>> prepared = session.prepare(query) >>> bound_stmt = prepared.bind((user.id, user.name, user.age)) >>> session.execute(bound_stmt) Of course, prepared statements may (and should) be reused:: >>> prepared = session.prepare(query) >>> for user in users: ... bound = prepared.bind((user.id, user.name, user.age)) ... session.execute(bound) Alternatively, if :attr:`~.Cluster.protocol_version` is 5 or higher (requires Cassandra 4.0+), the keyspace can be specified as a parameter. This will allow you to avoid specifying the keyspace in the query without specifying a keyspace in :meth:`~.Cluster.connect`. It even will let you prepare and use statements against a keyspace other than the one originally specified on connection: >>> analyticskeyspace_prepared = session.prepare( ... "INSERT INTO user_activity id, last_activity VALUES (?, ?)", ... keyspace="analyticskeyspace") # note the different keyspace **Important**: PreparedStatements should be prepared only once. Preparing the same query more than once will likely affect performance. `custom_payload` is a key value map to be passed along with the prepare message. See :ref:`custom_payload`. Prepare the given query on all hosts, excluding ``excluded_host``. Intended for internal use only. Close all connections. ``Session`` instances should not be used for any purpose after being shutdown. For internal use only. When the set of live nodes change, the loadbalancer will change its mind on host distances. It might change it on the node that came/left but also on other nodes (for instance, if a node dies, another previously ignored node may be now considered). This method ensures that all hosts for which a pool should exist have one, and hosts that shouldn't don't. For internal use only. Called by the parent Cluster instance when a node is marked down. Only intended for internal use. Internal Set the default keyspace for all queries made through this Session. This operation blocks until complete. Asynchronously sets the keyspace on all pools. When all pools have set all of their connections, `callback` will be called with a dictionary of all errors that occurred, keyed by the `Host` that they occurred against. Called by the parent Cluster instance when the user registers a new mapping from a user-defined type to a class. Intended for internal use only. Internal A callback handler for the ControlConnection that tolerates weak references. Called when the ControlConnection object is about to be finalized. This clears watchers on the underlying Connection object. Replace existing connection (if there is one) and close it. Tries to connect to each host in the query plan until one succeeds or every attempt fails. If successful, a new Connection will be returned. Otherwise, :exc:`NoHostAvailable` will be raised with an "errors" arg that is a dict mapping host addresses to the exception that was raised when an attempt was made to open a connection to that host. Creates a new Connection, registers for pushed events, and refreshes node/token and schema metadata. Called by the _ControlReconnectionHandler when a new connection is successfully created. Clears out the _reconnection_handler on this ControlConnection. Used to mitigate refreshes for nodes that are already known. Some versions of the server send superfluous NEW_NODE messages in addition to UP events. Determine the peers query to use. :param peers_query_type: Should be one of PeersQueryType enum. If _uses_peers_v2 is True, return the proper peers_v2 query (no templating). Else, apply the logic below to choose the peers v1 address column name: Given a connection: - find the server product version running on the connection's host, - use that to choose the column name for the transport address (see APOLLO-1130), and - use that column name in the provided peers query template. Called when the request associated with this ResponseFuture times out. This function may reschedule itself. The ``_attempts`` parameter tracks the number of times this has happened. This parameter should only be set in those cases, where ``_on_timeout`` reschedules itself. Internal Returns :const:`True` if there are more pages left in the query results, :const:`False` otherwise. This should only be checked after the first page has been returned. .. versionadded:: 2.0.0 Warnings returned from the server, if any. This will only be set for protocol_version 4+. Warnings may be returned for such things as oversized batches, or too many tombstones in slice queries. Ensure the future is complete before trying to access this property (call :meth:`.result()`, or after callback is invoked). Otherwise, it may throw if the response has not been received. The custom payload returned from the server, if any. This will only be set by Cassandra servers implementing a custom QueryHandler, and only for protocol_version 4+. Ensure the future is complete before trying to access this property (call :meth:`.result()`, or after callback is invoked). Otherwise, it may throw if the response has not been received. :return: :ref:`custom_payload`. If there are more pages left in the query result, this asynchronously starts fetching the next page. If there are no pages left, :exc:`.QueryExhausted` is raised. Also see :attr:`.has_more_pages`. This should only be called after the first page has been returned. .. versionadded:: 2.0.0 Handle the response to our attempt to prepare a statement. If it succeeded, run the original query again against the same host. Return the final result or raise an Exception if errors were encountered. If the final result or error has not been set yet, this method will block until it is set, or the timeout set for the request expires. Timeout is specified in the Session request execution functions. If the timeout is exceeded, an :exc:`cassandra.OperationTimedOut` will be raised. This is a client-side timeout. For more information about server-side coordinator timeouts, see :class:`.policies.RetryPolicy`. Example usage:: >>> future = session.execute_async("SELECT * FROM mycf") >>> # do other stuff... >>> try: ... rows = future.result() ... for row in rows: ... ... # process results ... except Exception: ... log.exception("Operation failed:") Returns the trace session ids for this future, if tracing was enabled (does not fetch trace data). Fetches and returns the query trace of the last response, or `None` if tracing was not enabled. Note that this may raise an exception if there are problems retrieving the trace details from Cassandra. If the trace is not available after `max_wait`, :exc:`cassandra.query.TraceUnavailable` will be raised. If the ResponseFuture is not done (async execution) and you try to retrieve the trace, :exc:`cassandra.query.TraceUnavailable` will be raised. `query_cl` is the consistency level used to poll the trace tables. Fetches and returns the query traces for all query pages, if tracing was enabled. See note in :meth:`~.get_query_trace` regarding possible exceptions. Attaches a callback function to be called when the final results arrive. By default, `fn` will be called with the results as the first and only argument. If `*args` or `**kwargs` are supplied, they will be passed through as additional positional or keyword arguments to `fn`. If an error is hit while executing the operation, a callback attached here will not be called. Use :meth:`.add_errback()` or :meth:`add_callbacks()` if you wish to handle that case. If the final result has already been seen when this method is called, the callback will be called immediately (before this method returns). Note: in the case that the result is not available when the callback is added, the callback is executed by IO event thread. This means that the callback should not block or attempt further synchronous requests, because no further IO will be processed until the callback returns. **Important**: if the callback you attach results in an exception being raised, **the exception will be ignored**, so please ensure your callback handles all error cases that you care about. Usage example:: >>> session = cluster.connect("mykeyspace") >>> def handle_results(rows, start_time, should_log=False): ... if should_log: ... log.info("Total time: %f", time.time() - start_time) ... ... >>> future = session.execute_async("SELECT * FROM users") >>> future.add_callback(handle_results, time.time(), should_log=True) Like :meth:`.add_callback()`, but handles error cases. An Exception instance will be passed as the first positional argument to `fn`. A convenient combination of :meth:`.add_callback()` and :meth:`.add_errback()`. Example usage:: >>> session = cluster.connect() >>> query = "SELECT * FROM mycf" >>> future = session.execute_async(query) >>> def log_results(results, level='debug'): ... for row in results: ... log.log(level, "Result: %s", row) >>> def log_error(exc, query): ... log.error("Query '%s' failed: %s", query, exc) >>> future.add_callbacks( ... callback=log_results, callback_kwargs={'level': 'info'}, ... errback=log_error, errback_args=(query,)) True if the last response indicated more pages; False otherwise The list of current page rows. May be empty if the result was empty, or this is the last page. Returns all the remaining rows as a list. This is basically a convenient shortcut to `list(result_set)`. This function is not recommended for queries that return a large number of elements. Return a single row of the results or None if empty. This is basically a shortcut to `result_set.current_rows[0]` and should only be used when you know a query returns a single row. Consider using an iterator if the ResultSet contains more than one row. Manually, synchronously fetch the next page. Supplied for manually retrieving pages and inspecting :meth:`~.current_page`. It is not necessary to call this when iterating through results; paging happens implicitly in iteration. Gets the last query trace from the associated future. See :meth:`.ResponseFuture.get_query_trace` for details. Gets all query traces from the associated future. See :meth:`.ResponseFuture.get_all_query_traces` for details. For LWT results, returns whether the transaction was applied. Result is indeterminate if called on a result that was not an LWT request or on a :class:`.query.BatchStatement` containing LWT. In the latter case either all the batch succeeds or fails. Only valid when one of the internal row factories is in use. Server paging state of the query. Can be `None` if the query was not paged. The driver treats paging state as opaque, but it may contain primary key data, so applications may want to avoid sending this to untrusted parties. clusternameloader__loader__origin__file__parent__package__submodule_search_locations__path__Interpreter change detected - this module can only be loaded into one interpreter per process.Module 'cluster' has already been imported. Re-initialisation is not supported.builtinscython_runtime__builtins__cassandra.cluster__pyx_pymod_exec_clustercluster.cPyTuple_Check(sequence)PyList_Check(sequence)__orig_bases__init cassandra.clustercassandra/cluster.pycompile time Python version %d.%d of module '%.100s' %s runtime version %d.%dwas newer thandoes not matchcompression.zstdbz2zlibdecompressFailed to import '%.20s.decompress' - cannot initialise module strings. 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NULL__Pyx_PyIter_Next_Plainiternext__Pyx_Coroutine_unset_is_runninggen->is_running__Pyx_Coroutine_FinishDelegation__Pyx_PyGen__FetchStopIterationValuePyTuple_Check(ev)__Pyx_IsSubtypePyTuple_Check(mro)__Pyx_IsAnySubtype2__Pyx_PyErr_GivenExceptionMatchesTuplePyExceptionClass_Check(exc_type)PyTuple_Check(tuple)__Pyx_Coroutine_SendEx__Pyx_Coroutine_get_is_running(self)f->f_back == NULLsendsend(arg) -> send 'arg' into generator, return next yielded value or raise StopIteration.throwthrow(typ[,val[,tb]]) -> raise exception in generator, return next yielded value or raise StopIteration.closeclose() -> raise GeneratorExit inside generator.__reduce_ex____Pyx_Coroutine_CloseItergenerator ignored GeneratorExitcannot pickle '%.200s' objectgi_yieldfromobject being iterated by 'yield from', or Nonegi_codename of the generatorqualified name of the generatorgi_frameFrame of the generatorgi_runningPyBytes_GET_SIZEcassandra.cluster.__pyx_defaults__Pyx_validate_bases_tuplePyTuple_Check(bases)base class 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