github.com/apache/beam/sdks/v2@v2.48.2/python/apache_beam/runners/worker/statesampler_slow.py (about) 1 # 2 # Licensed to the Apache Software Foundation (ASF) under one or more 3 # contributor license agreements. See the NOTICE file distributed with 4 # this work for additional information regarding copyright ownership. 5 # The ASF licenses this file to You under the Apache License, Version 2.0 6 # (the "License"); you may not use this file except in compliance with 7 # the License. You may obtain a copy of the License at 8 # 9 # http://www.apache.org/licenses/LICENSE-2.0 10 # 11 # Unless required by applicable law or agreed to in writing, software 12 # distributed under the License is distributed on an "AS IS" BASIS, 13 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 14 # See the License for the specific language governing permissions and 15 # limitations under the License. 16 # 17 18 # pytype: skip-file 19 20 from typing import Optional 21 22 from apache_beam.runners import common 23 from apache_beam.utils import counters 24 25 26 class StateSampler(object): 27 def __init__(self, sampling_period_ms): 28 self._state_stack = [ 29 ScopedState(self, counters.CounterName('unknown'), None) 30 ] 31 self.state_transition_count = 0 32 self.time_since_transition = 0 33 34 def current_state(self): 35 # type: () -> ScopedState 36 37 """Returns the current execution state. 38 39 This operation is not thread safe, and should only be called from the 40 execution thread.""" 41 return self._state_stack[-1] 42 43 def _scoped_state(self, 44 counter_name, # type: counters.CounterName 45 name_context, # type: common.NameContext 46 output_counter, 47 metrics_container=None): 48 # type: (...) -> ScopedState 49 assert isinstance(name_context, common.NameContext) 50 return ScopedState( 51 self, counter_name, name_context, output_counter, metrics_container) 52 53 def update_metric(self, typed_metric_name, value): 54 metrics_container = self.current_state().metrics_container 55 if metrics_container is not None: 56 metrics_container.get_metric_cell(typed_metric_name).update(value) 57 58 def _enter_state(self, state): 59 # type: (ScopedState) -> None 60 self.state_transition_count += 1 61 self._state_stack.append(state) 62 63 def _exit_state(self): 64 # type: () -> None 65 self.state_transition_count += 1 66 self._state_stack.pop() 67 68 def start(self): 69 # type: () -> None 70 # Sampling not yet supported. Only state tracking at the moment. 71 pass 72 73 def stop(self): 74 # type: () -> None 75 pass 76 77 def reset(self): 78 # type: () -> None 79 pass 80 81 82 class ScopedState(object): 83 84 def __init__(self, 85 sampler, # type: StateSampler 86 name, # type: counters.CounterName 87 step_name_context, # type: Optional[common.NameContext] 88 counter=None, 89 metrics_container=None): 90 self.state_sampler = sampler 91 self.name = name 92 self.name_context = step_name_context 93 self.counter = counter 94 self.nsecs = 0 95 self.metrics_container = metrics_container 96 97 def sampled_seconds(self): 98 # type: () -> float 99 return 1e-9 * self.nsecs 100 101 def sampled_msecs_int(self): 102 # type: () -> int 103 return int(1e-6 * self.nsecs) 104 105 def __repr__(self): 106 return "ScopedState[%s, %s]" % (self.name, self.nsecs) 107 108 def __enter__(self): 109 self.state_sampler._enter_state(self) 110 111 def __exit__(self, exc_type, exc_value, traceback): 112 self.state_sampler._exit_state()