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<h1>Source code for airflow.operators.hive_stats_operator</h1><div class="highlight"><pre>
<span></span><span class="c1"># -*- coding: utf-8 -*-</span>
<span class="c1">#</span>
<span class="c1"># Licensed to the Apache Software Foundation (ASF) under one</span>
<span class="c1"># or more contributor license agreements. See the NOTICE file</span>
<span class="c1"># distributed with this work for additional information</span>
<span class="c1"># regarding copyright ownership. The ASF licenses this file</span>
<span class="c1"># to you under the Apache License, Version 2.0 (the</span>
<span class="c1"># &quot;License&quot;); you may not use this file except in compliance</span>
<span class="c1"># with 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,</span>
<span class="c1"># software distributed under the License is distributed on an</span>
<span class="c1"># &quot;AS IS&quot; BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span>
<span class="c1"># KIND, either express or implied. See the License for the</span>
<span class="c1"># specific language governing permissions and limitations</span>
<span class="c1"># under the License.</span>
<span class="kn">from</span> <span class="nn">builtins</span> <span class="k">import</span> <span class="nb">zip</span>
<span class="kn">from</span> <span class="nn">collections</span> <span class="k">import</span> <span class="n">OrderedDict</span>
<span class="kn">import</span> <span class="nn">json</span>
<span class="kn">from</span> <span class="nn">airflow.exceptions</span> <span class="k">import</span> <span class="n">AirflowException</span>
<span class="kn">from</span> <span class="nn">airflow.hooks.mysql_hook</span> <span class="k">import</span> <span class="n">MySqlHook</span>
<span class="kn">from</span> <span class="nn">airflow.hooks.presto_hook</span> <span class="k">import</span> <span class="n">PrestoHook</span>
<span class="kn">from</span> <span class="nn">airflow.hooks.hive_hooks</span> <span class="k">import</span> <span class="n">HiveMetastoreHook</span>
<span class="kn">from</span> <span class="nn">airflow.models</span> <span class="k">import</span> <span class="n">BaseOperator</span>
<span class="kn">from</span> <span class="nn">airflow.utils.decorators</span> <span class="k">import</span> <span class="n">apply_defaults</span>
<div class="viewcode-block" id="HiveStatsCollectionOperator"><a class="viewcode-back" href="../../../code.html#airflow.operators.hive_stats_operator.HiveStatsCollectionOperator">[docs]</a><span class="k">class</span> <span class="nc">HiveStatsCollectionOperator</span><span class="p">(</span><span class="n">BaseOperator</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Gathers partition statistics using a dynamically generated Presto</span>
<span class="sd"> query, inserts the stats into a MySql table with this format. Stats</span>
<span class="sd"> overwrite themselves if you rerun the same date/partition. ::</span>
<span class="sd"> CREATE TABLE hive_stats (</span>
<span class="sd"> ds VARCHAR(16),</span>
<span class="sd"> table_name VARCHAR(500),</span>
<span class="sd"> metric VARCHAR(200),</span>
<span class="sd"> value BIGINT</span>
<span class="sd"> );</span>
<span class="sd"> :param table: the source table, in the format ``database.table_name``. (templated)</span>
<span class="sd"> :type table: str</span>
<span class="sd"> :param partition: the source partition. (templated)</span>
<span class="sd"> :type partition: dict of {col:value}</span>
<span class="sd"> :param extra_exprs: dict of expression to run against the table where</span>
<span class="sd"> keys are metric names and values are Presto compatible expressions</span>
<span class="sd"> :type extra_exprs: dict</span>
<span class="sd"> :param col_blacklist: list of columns to blacklist, consider</span>
<span class="sd"> blacklisting blobs, large json columns, ...</span>
<span class="sd"> :type col_blacklist: list</span>
<span class="sd"> :param assignment_func: a function that receives a column name and</span>
<span class="sd"> a type, and returns a dict of metric names and an Presto expressions.</span>
<span class="sd"> If None is returned, the global defaults are applied. If an</span>
<span class="sd"> empty dictionary is returned, no stats are computed for that</span>
<span class="sd"> column.</span>
<span class="sd"> :type assignment_func: function</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">template_fields</span> <span class="o">=</span> <span class="p">(</span><span class="s1">&#39;table&#39;</span><span class="p">,</span> <span class="s1">&#39;partition&#39;</span><span class="p">,</span> <span class="s1">&#39;ds&#39;</span><span class="p">,</span> <span class="s1">&#39;dttm&#39;</span><span class="p">)</span>
<span class="n">ui_color</span> <span class="o">=</span> <span class="s1">&#39;#aff7a6&#39;</span>
<span class="nd">@apply_defaults</span>
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span>
<span class="n">table</span><span class="p">,</span>
<span class="n">partition</span><span class="p">,</span>
<span class="n">extra_exprs</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">col_blacklist</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">assignment_func</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">metastore_conn_id</span><span class="o">=</span><span class="s1">&#39;metastore_default&#39;</span><span class="p">,</span>
<span class="n">presto_conn_id</span><span class="o">=</span><span class="s1">&#39;presto_default&#39;</span><span class="p">,</span>
<span class="n">mysql_conn_id</span><span class="o">=</span><span class="s1">&#39;airflow_db&#39;</span><span class="p">,</span>
<span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="nb">super</span><span class="p">(</span><span class="n">HiveStatsCollectionOperator</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">table</span> <span class="o">=</span> <span class="n">table</span>
<span class="bp">self</span><span class="o">.</span><span class="n">partition</span> <span class="o">=</span> <span class="n">partition</span>
<span class="bp">self</span><span class="o">.</span><span class="n">extra_exprs</span> <span class="o">=</span> <span class="n">extra_exprs</span> <span class="ow">or</span> <span class="p">{}</span>
<span class="bp">self</span><span class="o">.</span><span class="n">col_blacklist</span> <span class="o">=</span> <span class="n">col_blacklist</span> <span class="ow">or</span> <span class="p">{}</span>
<span class="bp">self</span><span class="o">.</span><span class="n">metastore_conn_id</span> <span class="o">=</span> <span class="n">metastore_conn_id</span>
<span class="bp">self</span><span class="o">.</span><span class="n">presto_conn_id</span> <span class="o">=</span> <span class="n">presto_conn_id</span>
<span class="bp">self</span><span class="o">.</span><span class="n">mysql_conn_id</span> <span class="o">=</span> <span class="n">mysql_conn_id</span>
<span class="bp">self</span><span class="o">.</span><span class="n">assignment_func</span> <span class="o">=</span> <span class="n">assignment_func</span>
<span class="bp">self</span><span class="o">.</span><span class="n">ds</span> <span class="o">=</span> <span class="s1">&#39;{{ ds }}&#39;</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dttm</span> <span class="o">=</span> <span class="s1">&#39;{{ execution_date.isoformat() }}&#39;</span>
<span class="k">def</span> <span class="nf">get_default_exprs</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">col</span><span class="p">,</span> <span class="n">col_type</span><span class="p">):</span>
<span class="k">if</span> <span class="n">col</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">col_blacklist</span><span class="p">:</span>
<span class="k">return</span> <span class="p">{}</span>
<span class="n">d</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">d</span><span class="p">[(</span><span class="n">col</span><span class="p">,</span> <span class="s1">&#39;non_null&#39;</span><span class="p">)]</span> <span class="o">=</span> <span class="s2">&quot;COUNT(</span><span class="si">{col}</span><span class="s2">)&quot;</span>
<span class="k">if</span> <span class="n">col_type</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;double&#39;</span><span class="p">,</span> <span class="s1">&#39;int&#39;</span><span class="p">,</span> <span class="s1">&#39;bigint&#39;</span><span class="p">,</span> <span class="s1">&#39;float&#39;</span><span class="p">,</span> <span class="s1">&#39;double&#39;</span><span class="p">]:</span>
<span class="n">d</span><span class="p">[(</span><span class="n">col</span><span class="p">,</span> <span class="s1">&#39;sum&#39;</span><span class="p">)]</span> <span class="o">=</span> <span class="s1">&#39;SUM(</span><span class="si">{col}</span><span class="s1">)&#39;</span>
<span class="n">d</span><span class="p">[(</span><span class="n">col</span><span class="p">,</span> <span class="s1">&#39;min&#39;</span><span class="p">)]</span> <span class="o">=</span> <span class="s1">&#39;MIN(</span><span class="si">{col}</span><span class="s1">)&#39;</span>
<span class="n">d</span><span class="p">[(</span><span class="n">col</span><span class="p">,</span> <span class="s1">&#39;max&#39;</span><span class="p">)]</span> <span class="o">=</span> <span class="s1">&#39;MAX(</span><span class="si">{col}</span><span class="s1">)&#39;</span>
<span class="n">d</span><span class="p">[(</span><span class="n">col</span><span class="p">,</span> <span class="s1">&#39;avg&#39;</span><span class="p">)]</span> <span class="o">=</span> <span class="s1">&#39;AVG(</span><span class="si">{col}</span><span class="s1">)&#39;</span>
<span class="k">elif</span> <span class="n">col_type</span> <span class="o">==</span> <span class="s1">&#39;boolean&#39;</span><span class="p">:</span>
<span class="n">d</span><span class="p">[(</span><span class="n">col</span><span class="p">,</span> <span class="s1">&#39;true&#39;</span><span class="p">)]</span> <span class="o">=</span> <span class="s1">&#39;SUM(CASE WHEN </span><span class="si">{col}</span><span class="s1"> THEN 1 ELSE 0 END)&#39;</span>
<span class="n">d</span><span class="p">[(</span><span class="n">col</span><span class="p">,</span> <span class="s1">&#39;false&#39;</span><span class="p">)]</span> <span class="o">=</span> <span class="s1">&#39;SUM(CASE WHEN NOT </span><span class="si">{col}</span><span class="s1"> THEN 1 ELSE 0 END)&#39;</span>
<span class="k">elif</span> <span class="n">col_type</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">&#39;string&#39;</span><span class="p">]:</span>
<span class="n">d</span><span class="p">[(</span><span class="n">col</span><span class="p">,</span> <span class="s1">&#39;len&#39;</span><span class="p">)]</span> <span class="o">=</span> <span class="s1">&#39;SUM(CAST(LENGTH(</span><span class="si">{col}</span><span class="s1">) AS BIGINT))&#39;</span>
<span class="n">d</span><span class="p">[(</span><span class="n">col</span><span class="p">,</span> <span class="s1">&#39;approx_distinct&#39;</span><span class="p">)]</span> <span class="o">=</span> <span class="s1">&#39;APPROX_DISTINCT(</span><span class="si">{col}</span><span class="s1">)&#39;</span>
<span class="k">return</span> <span class="p">{</span><span class="n">k</span><span class="p">:</span> <span class="n">v</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">col</span><span class="o">=</span><span class="n">col</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">d</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
<div class="viewcode-block" id="HiveStatsCollectionOperator.execute"><a class="viewcode-back" href="../../../code.html#airflow.operators.hive_stats_operator.HiveStatsCollectionOperator.execute">[docs]</a> <span class="k">def</span> <span class="nf">execute</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">context</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="n">metastore</span> <span class="o">=</span> <span class="n">HiveMetastoreHook</span><span class="p">(</span><span class="n">metastore_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">metastore_conn_id</span><span class="p">)</span>
<span class="n">table</span> <span class="o">=</span> <span class="n">metastore</span><span class="o">.</span><span class="n">get_table</span><span class="p">(</span><span class="n">table_name</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">table</span><span class="p">)</span>
<span class="n">field_types</span> <span class="o">=</span> <span class="p">{</span><span class="n">col</span><span class="o">.</span><span class="n">name</span><span class="p">:</span> <span class="n">col</span><span class="o">.</span><span class="n">type</span> <span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">table</span><span class="o">.</span><span class="n">sd</span><span class="o">.</span><span class="n">cols</span><span class="p">}</span>
<span class="n">exprs</span> <span class="o">=</span> <span class="p">{</span>
<span class="p">(</span><span class="s1">&#39;&#39;</span><span class="p">,</span> <span class="s1">&#39;count&#39;</span><span class="p">):</span> <span class="s1">&#39;COUNT(*)&#39;</span>
<span class="p">}</span>
<span class="k">for</span> <span class="n">col</span><span class="p">,</span> <span class="n">col_type</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">field_types</span><span class="o">.</span><span class="n">items</span><span class="p">()):</span>
<span class="n">d</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">assignment_func</span><span class="p">:</span>
<span class="n">d</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">assignment_func</span><span class="p">(</span><span class="n">col</span><span class="p">,</span> <span class="n">col_type</span><span class="p">)</span>
<span class="k">if</span> <span class="n">d</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">d</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_default_exprs</span><span class="p">(</span><span class="n">col</span><span class="p">,</span> <span class="n">col_type</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">d</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_default_exprs</span><span class="p">(</span><span class="n">col</span><span class="p">,</span> <span class="n">col_type</span><span class="p">)</span>
<span class="n">exprs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">d</span><span class="p">)</span>
<span class="n">exprs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">extra_exprs</span><span class="p">)</span>
<span class="n">exprs</span> <span class="o">=</span> <span class="n">OrderedDict</span><span class="p">(</span><span class="n">exprs</span><span class="p">)</span>
<span class="n">exprs_str</span> <span class="o">=</span> <span class="s2">&quot;,</span><span class="se">\n</span><span class="s2"> &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
<span class="n">v</span> <span class="o">+</span> <span class="s2">&quot; AS &quot;</span> <span class="o">+</span> <span class="n">k</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="s1">&#39;__&#39;</span> <span class="o">+</span> <span class="n">k</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">exprs</span><span class="o">.</span><span class="n">items</span><span class="p">()])</span>
<span class="n">where_clause</span> <span class="o">=</span> <span class="p">[</span>
<span class="s2">&quot;</span><span class="si">{0}</span><span class="s2"> = &#39;</span><span class="si">{1}</span><span class="s2">&#39;&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">v</span><span class="p">)</span> <span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">partition</span><span class="o">.</span><span class="n">items</span><span class="p">()]</span>
<span class="n">where_clause</span> <span class="o">=</span> <span class="s2">&quot; AND</span><span class="se">\n</span><span class="s2"> &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">where_clause</span><span class="p">)</span>
<span class="n">sql</span> <span class="o">=</span> <span class="s2">&quot;&quot;&quot;</span>
<span class="s2"> SELECT</span>
<span class="s2"> </span><span class="si">{exprs_str}</span><span class="s2"></span>
<span class="s2"> FROM </span><span class="si">{self.table}</span><span class="s2"></span>
<span class="s2"> WHERE</span>
<span class="s2"> </span><span class="si">{where_clause}</span><span class="s2">;</span>
<span class="s2"> &quot;&quot;&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="o">**</span><span class="nb">locals</span><span class="p">())</span>
<span class="n">hook</span> <span class="o">=</span> <span class="n">PrestoHook</span><span class="p">(</span><span class="n">presto_conn_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">presto_conn_id</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Executing SQL check: </span><span class="si">%s</span><span class="s1">&#39;</span><span class="p">,</span> <span class="n">sql</span><span class="p">)</span>
<span class="n">row</span> <span class="o">=</span> <span class="n">hook</span><span class="o">.</span><span class="n">get_first</span><span class="p">(</span><span class="n">hql</span><span class="o">=</span><span class="n">sql</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Record: </span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">row</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">row</span><span class="p">:</span>
<span class="k">raise</span> <span class="n">AirflowException</span><span class="p">(</span><span class="s2">&quot;The query returned None&quot;</span><span class="p">)</span>
<span class="n">part_json</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">partition</span><span class="p">,</span> <span class="n">sort_keys</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Deleting rows from previous runs if they exist&quot;</span><span class="p">)</span>
<span class="n">mysql</span> <span class="o">=</span> <span class="n">MySqlHook</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mysql_conn_id</span><span class="p">)</span>
<span class="n">sql</span> <span class="o">=</span> <span class="s2">&quot;&quot;&quot;</span>
<span class="s2"> SELECT 1 FROM hive_stats</span>
<span class="s2"> WHERE</span>
<span class="s2"> table_name=&#39;</span><span class="si">{self.table}</span><span class="s2">&#39; AND</span>
<span class="s2"> partition_repr=&#39;</span><span class="si">{part_json}</span><span class="s2">&#39; AND</span>
<span class="s2"> dttm=&#39;</span><span class="si">{self.dttm}</span><span class="s2">&#39;</span>
<span class="s2"> LIMIT 1;</span>
<span class="s2"> &quot;&quot;&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="o">**</span><span class="nb">locals</span><span class="p">())</span>
<span class="k">if</span> <span class="n">mysql</span><span class="o">.</span><span class="n">get_records</span><span class="p">(</span><span class="n">sql</span><span class="p">):</span>
<span class="n">sql</span> <span class="o">=</span> <span class="s2">&quot;&quot;&quot;</span>
<span class="s2"> DELETE FROM hive_stats</span>
<span class="s2"> WHERE</span>
<span class="s2"> table_name=&#39;</span><span class="si">{self.table}</span><span class="s2">&#39; AND</span>
<span class="s2"> partition_repr=&#39;</span><span class="si">{part_json}</span><span class="s2">&#39; AND</span>
<span class="s2"> dttm=&#39;</span><span class="si">{self.dttm}</span><span class="s2">&#39;;</span>
<span class="s2"> &quot;&quot;&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="o">**</span><span class="nb">locals</span><span class="p">())</span>
<span class="n">mysql</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">sql</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">log</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s2">&quot;Pivoting and loading cells into the Airflow db&quot;</span><span class="p">)</span>
<span class="n">rows</span> <span class="o">=</span> <span class="p">[</span>
<span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ds</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">dttm</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">table</span><span class="p">,</span> <span class="n">part_json</span><span class="p">)</span> <span class="o">+</span>
<span class="p">(</span><span class="n">r</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="n">r</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">],</span> <span class="n">r</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
<span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">exprs</span><span class="p">,</span> <span class="n">row</span><span class="p">)]</span>
<span class="n">mysql</span><span class="o">.</span><span class="n">insert_rows</span><span class="p">(</span>
<span class="n">table</span><span class="o">=</span><span class="s1">&#39;hive_stats&#39;</span><span class="p">,</span>
<span class="n">rows</span><span class="o">=</span><span class="n">rows</span><span class="p">,</span>
<span class="n">target_fields</span><span class="o">=</span><span class="p">[</span>
<span class="s1">&#39;ds&#39;</span><span class="p">,</span>
<span class="s1">&#39;dttm&#39;</span><span class="p">,</span>
<span class="s1">&#39;table_name&#39;</span><span class="p">,</span>
<span class="s1">&#39;partition_repr&#39;</span><span class="p">,</span>
<span class="s1">&#39;col&#39;</span><span class="p">,</span>
<span class="s1">&#39;metric&#39;</span><span class="p">,</span>
<span class="s1">&#39;value&#39;</span><span class="p">,</span>
<span class="p">]</span>
<span class="p">)</span></div></div>
</pre></div>
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