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| <h1>Source code for apache_beam.io.gcp.datastore.v1new.util</h1><div class="highlight"><pre> |
| <span></span><span class="c1">#</span> |
| <span class="c1"># Licensed to the Apache Software Foundation (ASF) under one or more</span> |
| <span class="c1"># contributor license agreements. See the NOTICE file distributed with</span> |
| <span class="c1"># this work for additional information regarding copyright ownership.</span> |
| <span class="c1"># The ASF licenses this file to You under the Apache License, Version 2.0</span> |
| <span class="c1"># (the "License"); you may not use this file except in compliance with</span> |
| <span class="c1"># the License. You may obtain a copy of the License at</span> |
| <span class="c1">#</span> |
| <span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> |
| <span class="c1">#</span> |
| <span class="c1"># Unless required by applicable law or agreed to in writing, software</span> |
| <span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span> |
| <span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> |
| <span class="c1"># See the License for the specific language governing permissions and</span> |
| <span class="c1"># limitations under the License.</span> |
| <span class="c1">#</span> |
| |
| <span class="c1"># Utility functions & classes that are _not_ specific to the datastore client.</span> |
| <span class="c1">#</span> |
| <span class="c1"># For internal use only; no backwards-compatibility guarantees.</span> |
| |
| <span class="c1"># pytype: skip-file</span> |
| |
| <span class="kn">import</span> <span class="nn">math</span> |
| |
| <span class="c1"># Constants used in batched mutation RPCs:</span> |
| <span class="n">WRITE_BATCH_INITIAL_SIZE</span> <span class="o">=</span> <span class="mi">50</span> |
| <span class="c1"># Max allowed Datastore writes per batch, and max bytes per batch.</span> |
| <span class="c1"># Note that the max bytes per batch set here is lower than the 10MB limit</span> |
| <span class="c1"># actually enforced by the API, to leave space for the CommitRequest wrapper</span> |
| <span class="c1"># around the mutations.</span> |
| <span class="c1"># https://cloud.google.com/datastore/docs/concepts/limits</span> |
| <span class="n">WRITE_BATCH_MAX_SIZE</span> <span class="o">=</span> <span class="mi">500</span> |
| <span class="n">WRITE_BATCH_MAX_BYTES_SIZE</span> <span class="o">=</span> <span class="mi">9000000</span> |
| <span class="n">WRITE_BATCH_MIN_SIZE</span> <span class="o">=</span> <span class="mi">5</span> |
| <span class="n">WRITE_BATCH_TARGET_LATENCY_MS</span> <span class="o">=</span> <span class="mi">6000</span> |
| |
| |
| <div class="viewcode-block" id="MovingSum"><a class="viewcode-back" href="../../../../../../apache_beam.io.gcp.datastore.v1new.util.html#apache_beam.io.gcp.datastore.v1new.util.MovingSum">[docs]</a><span class="k">class</span> <span class="nc">MovingSum</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span> |
| <span class="sd">"""Class that keeps track of a rolling window sum.</span> |
| |
| <span class="sd"> For use in tracking recent performance of the connector.</span> |
| |
| <span class="sd"> Intended to be similar to</span> |
| <span class="sd"> org.apache.beam.sdk.util.MovingFunction(..., Sum.ofLongs()), but for</span> |
| <span class="sd"> convenience we expose the count of entries as well so this doubles as a</span> |
| <span class="sd"> moving average tracker.</span> |
| <span class="sd"> """</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">window_ms</span><span class="p">,</span> <span class="n">bucket_ms</span><span class="p">):</span> |
| <span class="k">if</span> <span class="n">window_ms</span> <span class="o"><</span> <span class="n">bucket_ms</span> <span class="ow">or</span> <span class="n">bucket_ms</span> <span class="o"><=</span> <span class="mi">0</span><span class="p">:</span> |
| <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"window_ms >= bucket_ms > 0 please"</span><span class="p">)</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_num_buckets</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">window_ms</span> <span class="o">/</span> <span class="n">bucket_ms</span><span class="p">))</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_bucket_ms</span> <span class="o">=</span> <span class="n">bucket_ms</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_Reset</span><span class="p">(</span><span class="n">now</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> <span class="c1"># initialize the moving window members</span> |
| |
| <span class="k">def</span> <span class="nf">_Reset</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">now</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_current_index</span> <span class="o">=</span> <span class="mi">0</span> <span class="c1"># pointer into self._buckets</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_current_ms_since_epoch</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span> |
| <span class="n">now</span> <span class="o">/</span> <span class="bp">self</span><span class="o">.</span><span class="n">_bucket_ms</span><span class="p">)</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_bucket_ms</span> |
| |
| <span class="c1"># _buckets is a list where each element is a list [sum, num_samples]</span> |
| <span class="c1"># This is a circular buffer where</span> |
| <span class="c1"># [_current_index] represents the time range</span> |
| <span class="c1"># [_current_ms_since_epoch, _current_ms_since_epoch+_bucket_ms)</span> |
| <span class="c1"># [_current_index-1] represents immediatly prior time range</span> |
| <span class="c1"># [_current_ms_since_epoch-_bucket_ms, _current_ms_since_epoch)</span> |
| <span class="c1"># etc, wrapping around from the start to the end of the array, so</span> |
| <span class="c1"># [_current_index+1] is the element representing the oldest bucket.</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_buckets</span> <span class="o">=</span> <span class="p">[[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_num_buckets</span><span class="p">)]</span> |
| |
| <span class="k">def</span> <span class="nf">_Flush</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">now</span><span class="p">):</span> |
| <span class="sd">"""</span> |
| |
| <span class="sd"> Args:</span> |
| <span class="sd"> now: int, milliseconds since epoch</span> |
| <span class="sd"> """</span> |
| <span class="k">if</span> <span class="n">now</span> <span class="o">>=</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_current_ms_since_epoch</span> <span class="o">+</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_bucket_ms</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">_num_buckets</span><span class="p">):</span> |
| <span class="c1"># Time moved forward so far that all currently held data is outside of</span> |
| <span class="c1"># the window. It is faster to simply reset our data.</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_Reset</span><span class="p">(</span><span class="n">now</span><span class="p">)</span> |
| <span class="k">return</span> |
| |
| <span class="k">while</span> <span class="n">now</span> <span class="o">></span> <span class="bp">self</span><span class="o">.</span><span class="n">_current_ms_since_epoch</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">_bucket_ms</span><span class="p">:</span> |
| <span class="c1"># Advance time by one _bucket_ms, setting the new bucket's counts to 0.</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_current_ms_since_epoch</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_bucket_ms</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_current_index</span> <span class="o">=</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_current_index</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">%</span> <span class="bp">self</span><span class="o">.</span><span class="n">_num_buckets</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_buckets</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_current_index</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span> |
| <span class="c1"># Intentional dead reckoning here; we don't care about staying precisely</span> |
| <span class="c1"># aligned with multiples of _bucket_ms since the epoch, we just need our</span> |
| <span class="c1"># buckets to represent the most recent _window_ms time window.</span> |
| |
| <div class="viewcode-block" id="MovingSum.sum"><a class="viewcode-back" href="../../../../../../apache_beam.io.gcp.datastore.v1new.util.html#apache_beam.io.gcp.datastore.v1new.util.MovingSum.sum">[docs]</a> <span class="k">def</span> <span class="nf">sum</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">now</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_Flush</span><span class="p">(</span><span class="n">now</span><span class="p">)</span> |
| <span class="k">return</span> <span class="nb">sum</span><span class="p">(</span><span class="n">bucket</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="k">for</span> <span class="n">bucket</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_buckets</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="MovingSum.add"><a class="viewcode-back" href="../../../../../../apache_beam.io.gcp.datastore.v1new.util.html#apache_beam.io.gcp.datastore.v1new.util.MovingSum.add">[docs]</a> <span class="k">def</span> <span class="nf">add</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">now</span><span class="p">,</span> <span class="n">inc</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_Flush</span><span class="p">(</span><span class="n">now</span><span class="p">)</span> |
| <span class="n">bucket</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_buckets</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_current_index</span><span class="p">]</span> |
| <span class="n">bucket</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+=</span> <span class="n">inc</span> |
| <span class="n">bucket</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+=</span> <span class="mi">1</span></div> |
| |
| <div class="viewcode-block" id="MovingSum.count"><a class="viewcode-back" href="../../../../../../apache_beam.io.gcp.datastore.v1new.util.html#apache_beam.io.gcp.datastore.v1new.util.MovingSum.count">[docs]</a> <span class="k">def</span> <span class="nf">count</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">now</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_Flush</span><span class="p">(</span><span class="n">now</span><span class="p">)</span> |
| <span class="k">return</span> <span class="nb">sum</span><span class="p">(</span><span class="n">bucket</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="k">for</span> <span class="n">bucket</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_buckets</span><span class="p">)</span></div> |
| |
| <div class="viewcode-block" id="MovingSum.has_data"><a class="viewcode-back" href="../../../../../../apache_beam.io.gcp.datastore.v1new.util.html#apache_beam.io.gcp.datastore.v1new.util.MovingSum.has_data">[docs]</a> <span class="k">def</span> <span class="nf">has_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">now</span><span class="p">):</span> |
| <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="n">now</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span></div></div> |
| |
| |
| <div class="viewcode-block" id="DynamicBatchSizer"><a class="viewcode-back" href="../../../../../../apache_beam.io.gcp.datastore.v1new.util.html#apache_beam.io.gcp.datastore.v1new.util.DynamicBatchSizer">[docs]</a><span class="k">class</span> <span class="nc">DynamicBatchSizer</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span> |
| <span class="sd">"""Determines request sizes for future Datastore RPCs."""</span> |
| <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_commit_time_per_entity_ms</span> <span class="o">=</span> <span class="n">MovingSum</span><span class="p">(</span> |
| <span class="n">window_ms</span><span class="o">=</span><span class="mi">120000</span><span class="p">,</span> <span class="n">bucket_ms</span><span class="o">=</span><span class="mi">10000</span><span class="p">)</span> |
| |
| <div class="viewcode-block" id="DynamicBatchSizer.get_batch_size"><a class="viewcode-back" href="../../../../../../apache_beam.io.gcp.datastore.v1new.util.html#apache_beam.io.gcp.datastore.v1new.util.DynamicBatchSizer.get_batch_size">[docs]</a> <span class="k">def</span> <span class="nf">get_batch_size</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">now</span><span class="p">):</span> |
| <span class="sd">"""Returns the recommended size for datastore RPCs at this time."""</span> |
| <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_commit_time_per_entity_ms</span><span class="o">.</span><span class="n">has_data</span><span class="p">(</span><span class="n">now</span><span class="p">):</span> |
| <span class="k">return</span> <span class="n">WRITE_BATCH_INITIAL_SIZE</span> |
| |
| <span class="n">recent_mean_latency_ms</span> <span class="o">=</span> <span class="p">(</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_commit_time_per_entity_ms</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">now</span><span class="p">)</span> <span class="o">//</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_commit_time_per_entity_ms</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="n">now</span><span class="p">))</span> |
| <span class="k">return</span> <span class="nb">max</span><span class="p">(</span> |
| <span class="n">WRITE_BATCH_MIN_SIZE</span><span class="p">,</span> |
| <span class="nb">min</span><span class="p">(</span> |
| <span class="n">WRITE_BATCH_MAX_SIZE</span><span class="p">,</span> |
| <span class="n">WRITE_BATCH_TARGET_LATENCY_MS</span> <span class="o">//</span> <span class="nb">max</span><span class="p">(</span><span class="n">recent_mean_latency_ms</span><span class="p">,</span> <span class="mi">1</span><span class="p">)))</span></div> |
| |
| <div class="viewcode-block" id="DynamicBatchSizer.report_latency"><a class="viewcode-back" href="../../../../../../apache_beam.io.gcp.datastore.v1new.util.html#apache_beam.io.gcp.datastore.v1new.util.DynamicBatchSizer.report_latency">[docs]</a> <span class="k">def</span> <span class="nf">report_latency</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">now</span><span class="p">,</span> <span class="n">latency_ms</span><span class="p">,</span> <span class="n">num_mutations</span><span class="p">):</span> |
| <span class="sd">"""Report the latency of a Datastore RPC.</span> |
| |
| <span class="sd"> Args:</span> |
| <span class="sd"> now: double, completion time of the RPC as seconds since the epoch.</span> |
| <span class="sd"> latency_ms: double, the observed latency in milliseconds for this RPC.</span> |
| <span class="sd"> num_mutations: int, number of mutations contained in the RPC.</span> |
| <span class="sd"> """</span> |
| <span class="bp">self</span><span class="o">.</span><span class="n">_commit_time_per_entity_ms</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">now</span><span class="p">,</span> <span class="n">latency_ms</span> <span class="o">/</span> <span class="n">num_mutations</span><span class="p">)</span></div></div> |
| </pre></div> |
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