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    <title>topic Why does databricks need two IP addresses per node in a cluster in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/why-does-databricks-need-two-ip-addresses-per-node-in-a-cluster/m-p/18283#M12102</link>
    <description />
    <pubDate>Fri, 25 Jun 2021 22:38:09 GMT</pubDate>
    <dc:creator>aladda</dc:creator>
    <dc:date>2021-06-25T22:38:09Z</dc:date>
    <item>
      <title>Why does databricks need two IP addresses per node in a cluster</title>
      <link>https://community.databricks.com/t5/data-engineering/why-does-databricks-need-two-ip-addresses-per-node-in-a-cluster/m-p/18283#M12102</link>
      <description />
      <pubDate>Fri, 25 Jun 2021 22:38:09 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/why-does-databricks-need-two-ip-addresses-per-node-in-a-cluster/m-p/18283#M12102</guid>
      <dc:creator>aladda</dc:creator>
      <dc:date>2021-06-25T22:38:09Z</dc:date>
    </item>
    <item>
      <title>Re: Why does databricks need two IP addresses per node in a cluster</title>
      <link>https://community.databricks.com/t5/data-engineering/why-does-databricks-need-two-ip-addresses-per-node-in-a-cluster/m-p/18284#M12103</link>
      <description>&lt;P&gt;For an optimal processing experience Databricks segregates the Spark application traffic from the management traffic to avoid Network contention. Spark application traffic communications between the Driver-Executor and the Executors themselves where the computation if happening. Management traffic includes things such as communication between the Control Plane &amp;lt;-&amp;gt; Data Plane, etc&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 25 Jun 2021 22:40:38 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/why-does-databricks-need-two-ip-addresses-per-node-in-a-cluster/m-p/18284#M12103</guid>
      <dc:creator>aladda</dc:creator>
      <dc:date>2021-06-25T22:40:38Z</dc:date>
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