<?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: Colon sign operator for JSON in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/colon-sign-operator-for-json/m-p/63726#M32333</link>
    <description>&lt;P&gt;Thanks Kaniz.&lt;/P&gt;&lt;P&gt;Yes, I did some testing. With some schema, I read the same data source and write the parsing results to diff tables. For 586K rows, the perf diff is 9sec vs. 37sec. For 2.3 million rows, 16sec vs. 133sec.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 14 Mar 2024 18:10:33 GMT</pubDate>
    <dc:creator>MikeGo</dc:creator>
    <dc:date>2024-03-14T18:10:33Z</dc:date>
    <item>
      <title>Colon sign operator for JSON</title>
      <link>https://community.databricks.com/t5/data-engineering/colon-sign-operator-for-json/m-p/62282#M31940</link>
      <description>&lt;P&gt;Hi,&lt;BR /&gt;I have a streaming source loading data to a raw table, which has a string type col (whose value is JSON) to hold all data. I want to use colon sign operator to get fields from the JSON string. Is this going to have some perf issues vs. I use a schema+from_json function?&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;P&gt;Brad&lt;/P&gt;</description>
      <pubDate>Thu, 29 Feb 2024 00:36:17 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/colon-sign-operator-for-json/m-p/62282#M31940</guid>
      <dc:creator>MikeGo</dc:creator>
      <dc:date>2024-02-29T00:36:17Z</dc:date>
    </item>
    <item>
      <title>Re: Colon sign operator for JSON</title>
      <link>https://community.databricks.com/t5/data-engineering/colon-sign-operator-for-json/m-p/63726#M32333</link>
      <description>&lt;P&gt;Thanks Kaniz.&lt;/P&gt;&lt;P&gt;Yes, I did some testing. With some schema, I read the same data source and write the parsing results to diff tables. For 586K rows, the perf diff is 9sec vs. 37sec. For 2.3 million rows, 16sec vs. 133sec.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 14 Mar 2024 18:10:33 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/colon-sign-operator-for-json/m-p/63726#M32333</guid>
      <dc:creator>MikeGo</dc:creator>
      <dc:date>2024-03-14T18:10:33Z</dc:date>
    </item>
  </channel>
</rss>

