<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Connect to delta table from mlflow pyfunc serving endpoint in Get Started Discussions</title>
    <link>https://community.databricks.com/t5/get-started-discussions/connect-to-delta-table-from-mlflow-pyfunc-serving-endpoint/m-p/48355#M5954</link>
    <description>&lt;P&gt;Hi, I'm creating an mlflow pyfunc serving endpoint and I would like to connect to a delta table to retrieve some information within the pyfunc. Is this possible?&lt;/P&gt;&lt;P&gt;I ask because I don't think that serving endpoint environment has access to spark, and we would have to instantiate a spark session which would have an amount of overhead?&lt;/P&gt;</description>
    <pubDate>Thu, 05 Oct 2023 11:12:23 GMT</pubDate>
    <dc:creator>Chibberto</dc:creator>
    <dc:date>2023-10-05T11:12:23Z</dc:date>
    <item>
      <title>Connect to delta table from mlflow pyfunc serving endpoint</title>
      <link>https://community.databricks.com/t5/get-started-discussions/connect-to-delta-table-from-mlflow-pyfunc-serving-endpoint/m-p/48355#M5954</link>
      <description>&lt;P&gt;Hi, I'm creating an mlflow pyfunc serving endpoint and I would like to connect to a delta table to retrieve some information within the pyfunc. Is this possible?&lt;/P&gt;&lt;P&gt;I ask because I don't think that serving endpoint environment has access to spark, and we would have to instantiate a spark session which would have an amount of overhead?&lt;/P&gt;</description>
      <pubDate>Thu, 05 Oct 2023 11:12:23 GMT</pubDate>
      <guid>https://community.databricks.com/t5/get-started-discussions/connect-to-delta-table-from-mlflow-pyfunc-serving-endpoint/m-p/48355#M5954</guid>
      <dc:creator>Chibberto</dc:creator>
      <dc:date>2023-10-05T11:12:23Z</dc:date>
    </item>
  </channel>
</rss>

