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    <title>topic Retry api request if fails in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/retry-api-request-if-fails/m-p/12122#M6981</link>
    <description>&lt;P&gt;I have a simple API request to query a table and retrive data, which are then suited into a dataframe. May happened, it fails due to different reasons. How to retry it for let's say 5 times when any kind of error takes place? &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is an api request:&lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;df  = spark.createDataFrame(sf.bulk.MyTable.query("select Id,  Status from MyTable "))&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 28 Oct 2021 20:10:53 GMT</pubDate>
    <dc:creator>Braxx</dc:creator>
    <dc:date>2021-10-28T20:10:53Z</dc:date>
    <item>
      <title>Retry api request if fails</title>
      <link>https://community.databricks.com/t5/data-engineering/retry-api-request-if-fails/m-p/12122#M6981</link>
      <description>&lt;P&gt;I have a simple API request to query a table and retrive data, which are then suited into a dataframe. May happened, it fails due to different reasons. How to retry it for let's say 5 times when any kind of error takes place? &lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here is an api request:&lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;df  = spark.createDataFrame(sf.bulk.MyTable.query("select Id,  Status from MyTable "))&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 28 Oct 2021 20:10:53 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/retry-api-request-if-fails/m-p/12122#M6981</guid>
      <dc:creator>Braxx</dc:creator>
      <dc:date>2021-10-28T20:10:53Z</dc:date>
    </item>
    <item>
      <title>Re: Retry api request if fails</title>
      <link>https://community.databricks.com/t5/data-engineering/retry-api-request-if-fails/m-p/12123#M6982</link>
      <description>&lt;P&gt;@Bartosz Wachocki​&amp;nbsp;,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Use timeout, retry interval ,recursion and exception handling &lt;/P&gt;&lt;P&gt;pseudo code below&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;timeout = 300&lt;/P&gt;&lt;P&gt;def exec_query(query,timeout):&lt;/P&gt;&lt;P&gt; try: &lt;/P&gt;&lt;P&gt; df = spark.createDataFrame(sf.bulk.MyTable.query(query))&lt;/P&gt;&lt;P&gt; except: &lt;/P&gt;&lt;P&gt; if timeout &amp;gt; 0 :&lt;/P&gt;&lt;P&gt; sleep(60)&lt;/P&gt;&lt;P&gt; exec_query(query)&lt;/P&gt;&lt;P&gt; timeout = timeout - 60&lt;/P&gt;&lt;P&gt; else:&lt;/P&gt;&lt;P&gt; print("Timeout")&lt;/P&gt;&lt;P&gt; break;&lt;/P&gt;</description>
      <pubDate>Thu, 28 Oct 2021 22:25:09 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/retry-api-request-if-fails/m-p/12123#M6982</guid>
      <dc:creator>Manoj</dc:creator>
      <dc:date>2021-10-28T22:25:09Z</dc:date>
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