def serialize(v):
global _have_warned_about_timestamps
try:
converted = calendar.timegm(v.utctimetuple())
converted = converted * 1e3 + getattr(v, 'microsecond', 0) / 1e3
except AttributeError:
# Ints and floats are valid timestamps too
if type(v) not in _number_types:
raise TypeError('DateType arguments must be a datetime or timestamp')
if not _have_warned_about_timestamps:
_have_warned_about_timestamps = True
warnings.warn("timestamp columns in Cassandra hold a number of "
"milliseconds since the unix epoch. Currently, when executing "
"prepared statements, this driver multiplies timestamp "
"values by 1000 so that the result of time.time() "
"can be used directly. However, the driver cannot "
"match this behavior for non-prepared statements, "
"so the 2.0 version of the driver will no longer multiply "
"timestamps by 1000. It is suggested that you simply use "
"datetime.datetime objects for 'timestamp' values to avoid "
"any ambiguity and to guarantee a smooth upgrade of the "
"driver.")
converted = v * 1e3
return int64_pack(long(converted))
def serialize(v):
global _have_warned_about_timestamps
try:
converted = calendar.timegm(v.utctimetuple())
converted = converted * 1e3 + getattr(v, 'microsecond', 0) / 1e3
except AttributeError:
# Ints and floats are valid timestamps too
if type(v) not in _number_types:
raise TypeError('DateType arguments must be a datetime or timestamp')
if not _have_warned_about_timestamps:
_have_warned_about_timestamps = True
warnings.warn("timestamp columns in Cassandra hold a number of "
"milliseconds since the unix epoch. Currently, when executing "
"prepared statements, this driver multiplies timestamp "
"values by 1000 so that the result of time.time() "
"can be used directly. However, the driver cannot "
"match this behavior for non-prepared statements, "
"so the 2.0 version of the driver will no longer multiply "
"timestamps by 1000. It is suggested that you simply use "
"datetime.datetime objects for 'timestamp' values to avoid "
"any ambiguity and to guarantee a smooth upgrade of the "
"driver.")
converted = v * 1e3
return int64_pack(long(converted))
def execute_graph_async(self, query, parameters=None, trace=False, execution_profile=EXEC_PROFILE_GRAPH_DEFAULT):
"""
Execute the graph query and return a `ResponseFuture <http://datastax.github.io/python-driver/api/cassandra/cluster.html#cassandra.cluster.ResponseFuture.result>`_
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.
"""
if not isinstance(query, SimpleGraphStatement):
query = SimpleGraphStatement(query)
graph_parameters = None
if parameters:
graph_parameters = self._transform_params(parameters)
execution_profile = self._get_execution_profile(execution_profile) # look up instance here so we can apply the extended attributes
try:
options = execution_profile.graph_options.copy()
except AttributeError:
raise ValueError("Execution profile for graph queries must derive from GraphExecutionProfile, and provide graph_options")
custom_payload = options.get_options_map()
custom_payload[_request_timeout_key] = int64_pack(long(execution_profile.request_timeout * 1000))
future = self._create_response_future(query, parameters=None, trace=trace, custom_payload=custom_payload,
timeout=_NOT_SET, execution_profile=execution_profile)
future.message._query_params = graph_parameters
future._protocol_handler = self.client_protocol_handler
if options.is_analytics_source and isinstance(execution_profile.load_balancing_policy, DSELoadBalancingPolicy):
self._target_analytics_master(future)
else:
future.send_request()
return future
def serialize(v):
try:
converted = calendar.timegm(v.utctimetuple())
converted = converted * 1e3 + getattr(v, 'microsecond', 0) / 1e3
except AttributeError:
# Ints and floats are valid timestamps too
if type(v) not in _number_types:
raise TypeError('DateType arguments must be a datetime or timestamp')
converted = v * 1e3
return int64_pack(long(converted))
def serialize(v, protocol_version):
try:
# v is datetime
timestamp_seconds = calendar.timegm(v.utctimetuple())
timestamp = timestamp_seconds * 1e3 + getattr(v, 'microsecond', 0) / 1e3
except AttributeError:
# Ints and floats are valid timestamps too
if type(v) not in _number_types:
raise TypeError('DateType arguments must be a datetime or timestamp')
timestamp = v
return int64_pack(long(timestamp))
def serialize(v, protocol_version):
try:
# v is datetime
timestamp_seconds = calendar.timegm(v.utctimetuple())
timestamp = timestamp_seconds * 1e3 + getattr(v, 'microsecond', 0) / 1e3
except AttributeError:
# Ints and floats are valid timestamps too
if type(v) not in _number_types:
raise TypeError('DateType arguments must be a datetime or timestamp')
timestamp = v
return int64_pack(long(timestamp))
def serialize(v):
try:
converted = calendar.timegm(v.utctimetuple())
converted = converted * 1e3 + getattr(v, 'microsecond', 0) / 1e3
except AttributeError:
# Ints and floats are valid timestamps too
if type(v) not in _number_types:
raise TypeError('DateType arguments must be a datetime or timestamp')
converted = v * 1e3
return int64_pack(long(converted))
def execute_graph_async(self,
query,
parameters=None,
trace=False,
execution_profile=EXEC_PROFILE_GRAPH_DEFAULT):
"""
Execute the graph query and return a `ResponseFuture <http://datastax.github.io/python-driver/api/cassandra/cluster.html#cassandra.cluster.ResponseFuture.result>`_
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.
"""
if not isinstance(query, SimpleGraphStatement):
query = SimpleGraphStatement(query)
graph_parameters = None
if parameters:
graph_parameters = self._transform_params(parameters)
execution_profile = self._get_execution_profile(
execution_profile
) # look up instance here so we can apply the extended attributes
try:
options = execution_profile.graph_options.copy()
except AttributeError:
raise ValueError(
"Execution profile for graph queries must derive from GraphExecutionProfile, and provide graph_options"
)
custom_payload = options.get_options_map()
custom_payload[_request_timeout_key] = int64_pack(
long(execution_profile.request_timeout * 1000))
future = self._create_response_future(
query,
parameters=None,
trace=trace,
custom_payload=custom_payload,
timeout=_NOT_SET,
execution_profile=execution_profile)
future.message._query_params = graph_parameters
future._protocol_handler = self.client_protocol_handler
if options.is_analytics_source and isinstance(
execution_profile.load_balancing_policy,
DSELoadBalancingPolicy):
self._target_analytics_master(future)
else:
future.send_request()
return future
def serialize(cls, v, protocol_version):
buf = io.BytesIO()
bound_kind, bounds = None, ()
try:
value = v.value
except AttributeError:
raise ValueError(
'%s.serialize expects an object with a value attribute; got'
'%r' % (cls.__name__, v))
if value is None:
try:
lower_bound, upper_bound = v.lower_bound, v.upper_bound
except AttributeError:
raise ValueError(
'%s.serialize expects an object with lower_bound and '
'upper_bound attributes; got %r' % (cls.__name__, v))
if lower_bound == util.OPEN_BOUND and upper_bound == util.OPEN_BOUND:
bound_kind = BoundKind.BOTH_OPEN_RANGE
elif lower_bound == util.OPEN_BOUND:
bound_kind = BoundKind.OPEN_RANGE_LOW
bounds = (upper_bound, )
elif upper_bound == util.OPEN_BOUND:
bound_kind = BoundKind.OPEN_RANGE_HIGH
bounds = (lower_bound, )
else:
bound_kind = BoundKind.CLOSED_RANGE
bounds = lower_bound, upper_bound
else: # value is not None
if value == util.OPEN_BOUND:
bound_kind = BoundKind.SINGLE_DATE_OPEN
else:
bound_kind = BoundKind.SINGLE_DATE
bounds = (value, )
if bound_kind is None:
raise ValueError('Cannot serialize %r; could not find bound kind' %
(v, ))
buf.write(int8_pack(BoundKind.to_int(bound_kind)))
for bound in bounds:
buf.write(int64_pack(bound.milliseconds))
buf.write(int8_pack(cls._encode_precision(bound.precision)))
return buf.getvalue()
def serialize(val, protocol_version):
try:
nano = val.nanosecond_time
except AttributeError:
nano = util.Time(val).nanosecond_time
return int64_pack(nano)
def serialize(byts, protocol_version):
return int64_pack(byts)
def serialize(val, protocol_version):
try:
nano = val.nanosecond_time
except AttributeError:
nano = util.Time(val).nanosecond_time
return int64_pack(nano)
def serialize(byts, protocol_version):
return int64_pack(byts)