title: List json files, partitioned by year/month/day, from Azure account storage using PySpark
body: <p>I  have azure account storage with <code>json</code> files, partitioned by year/month/day/hour. I need to list all of jsons between two dates, eg. 20200505 to 20201220, so I have list of <code>url/dir</code>. I do not need to load any content, just to list all files, which lives between these two dates.</p>
  <p>I need to use for it azure databricks with pyspark. Is it possible to just use sth like:</p>
  <pre><code>.load(from &quot;&lt;Path&gt;/y=2020/month=05/day=05/**/*.json&quot; to &quot;&lt;Path&gt;/y=2020/month=12/day=20/**/*.json&quot;)
  </code></pre>
  <p>Here is structure of azure account storage:
  <a href="https://i.stack.imgur.com/IJevY.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/IJevY.png" alt="enter image description here" /></a></p>