| #!/usr/bin/env python |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| # |
| |
| import time |
| |
| TS = "ts" |
| TIME_SEC = 1000000000 |
| MILLISECOND = 1000 |
| |
| class Statistic: |
| def message(self, msg): |
| return |
| def report(self): |
| return "" |
| def header(self): |
| return "" |
| |
| |
| class Throughput(Statistic): |
| def __init__(self): |
| self.messages = 0 |
| self.started = False |
| |
| def message(self, m): |
| self.messages += 1 |
| if not self.started: |
| self.start = time.time() |
| self.started = True |
| |
| def header(self): |
| return "tp(m/s)" |
| |
| def report(self): |
| if self.started: |
| elapsed = time.time() - self.start |
| return str(int(self.messages/elapsed)) |
| else: |
| return "0" |
| |
| |
| class ThroughputAndLatency(Throughput): |
| def __init__(self): |
| Throughput.__init__(self) |
| self.total = 0.0 |
| self.min = float('inf') |
| self.max = -float('inf') |
| self.samples = 0 |
| |
| def message(self, m): |
| Throughput.message(self, m) |
| if TS in m.properties: |
| self.samples+=1 |
| latency = MILLISECOND * (time.time() - float(m.properties[TS])/TIME_SEC) |
| if latency > 0: |
| self.total += latency |
| if latency < self.min: |
| self.min = latency |
| if latency > self.max: |
| self.max = latency |
| |
| def header(self): |
| # Throughput.header(self) |
| return "%s\tl-min\tl-max\tl-avg" % Throughput.header(self) |
| |
| def report(self): |
| output = Throughput.report(self) |
| if (self.samples > 0): |
| output += "\t%.2f\t%.2f\t%.2f" %(self.min, self.max, self.total/self.samples) |
| return output |
| |
| |
| # Report batch and overall statistics |
| class ReporterBase: |
| def __init__(self, batch, wantHeader): |
| self.batchSize = batch |
| self.batchCount = 0 |
| self.headerPrinted = not wantHeader |
| self.overall = None |
| self.batch = None |
| |
| def create(self): |
| return |
| |
| # Count message in the statistics |
| def message(self, m): |
| if self.overall == None: |
| self.overall = self.create() |
| self.overall.message(m) |
| if self.batchSize: |
| if self.batch == None: |
| self.batch = self.create() |
| self.batch.message(m) |
| self.batchCount+=1 |
| if self.batchCount == self.batchSize: |
| self.header() |
| print self.batch.report() |
| self.create() |
| self.batchCount = 0 |
| |
| # Print overall report. |
| def report(self): |
| if self.overall == None: |
| self.overall = self.create() |
| self.header() |
| print self.overall.report() |
| |
| def header(self): |
| if not self.headerPrinted: |
| if self.overall == None: |
| self.overall = self.create() |
| print self.overall.header() |
| self.headerPrinted = True |
| |
| |
| class Reporter(ReporterBase): |
| def __init__(self, batchSize, wantHeader, Stats): |
| ReporterBase.__init__(self, batchSize, wantHeader) |
| self.__stats = Stats |
| |
| def create(self): |
| ClassName = self.__stats.__class__ |
| return ClassName() |