<?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 Re: How to writeStream with redshift in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/how-to-writestream-with-redshift/m-p/58175#M31034</link>
    <description>&lt;P&gt;I doubt Redshift supports streaming writes from Spark.&lt;BR /&gt;You could write the changes in the delta table on Databricks (change data feed) into Kafka/Kinesis and consume that in Redshift.&amp;nbsp; Or overwrite the table.&amp;nbsp; Or use a merge, but then you need to know what has to be sent to redshift (aka you need to know what was changed/deleted/inserted)&lt;/P&gt;</description>
    <pubDate>Mon, 22 Jan 2024 15:54:39 GMT</pubDate>
    <dc:creator>-werners-</dc:creator>
    <dc:date>2024-01-22T15:54:39Z</dc:date>
    <item>
      <title>How to writeStream with redshift</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-writestream-with-redshift/m-p/58033#M30994</link>
      <description>&lt;P&gt;I have already checked the documentation below The documentation below does not describe how to write to streaming.&lt;BR /&gt;Is there a way to write the gold table (type is streaming table), which is the output of the streaming pipeline of Delta Live Tables in databricks, to redshift in the same way?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/en/connect/external-systems/amazon-redshift.html" target="_blank"&gt;https://docs.databricks.com/en/connect/external-systems/amazon-redshift.html&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 22 Jan 2024 02:13:47 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-writestream-with-redshift/m-p/58033#M30994</guid>
      <dc:creator>rt-slowth</dc:creator>
      <dc:date>2024-01-22T02:13:47Z</dc:date>
    </item>
    <item>
      <title>Re: How to writeStream with redshift</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-writestream-with-redshift/m-p/58175#M31034</link>
      <description>&lt;P&gt;I doubt Redshift supports streaming writes from Spark.&lt;BR /&gt;You could write the changes in the delta table on Databricks (change data feed) into Kafka/Kinesis and consume that in Redshift.&amp;nbsp; Or overwrite the table.&amp;nbsp; Or use a merge, but then you need to know what has to be sent to redshift (aka you need to know what was changed/deleted/inserted)&lt;/P&gt;</description>
      <pubDate>Mon, 22 Jan 2024 15:54:39 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-writestream-with-redshift/m-p/58175#M31034</guid>
      <dc:creator>-werners-</dc:creator>
      <dc:date>2024-01-22T15:54:39Z</dc:date>
    </item>
    <item>
      <title>Re: How to writeStream with redshift</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-writestream-with-redshift/m-p/58209#M31051</link>
      <description>&lt;P&gt;Only batch processing is supported.&lt;/P&gt;</description>
      <pubDate>Mon, 22 Jan 2024 23:32:05 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-writestream-with-redshift/m-p/58209#M31051</guid>
      <dc:creator>jose_gonzalez</dc:creator>
      <dc:date>2024-01-22T23:32:05Z</dc:date>
    </item>
  </channel>
</rss>

