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    <title>topic Delta table with Varchar column vs string column in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/delta-table-with-varchar-column-vs-string-column/m-p/36473#M26135</link>
    <description>&lt;P&gt;Databricks support string data type. But I can still create delta table with varchar data type. Just wonder what is different between delta table with string and delta table with varchar:&lt;/P&gt;&lt;P&gt;-- delta table with string&lt;/P&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;CREATE&lt;/SPAN&gt; &lt;SPAN&gt;TABLE&lt;/SPAN&gt;&lt;SPAN&gt; persons(first_name &lt;/SPAN&gt;&lt;SPAN&gt;STRING&lt;/SPAN&gt; &lt;SPAN&gt;NOT&lt;/SPAN&gt;&lt;SPAN&gt; NULL, last_name &lt;/SPAN&gt;&lt;SPAN&gt;STRING&lt;/SPAN&gt; &lt;SPAN&gt;NOT&lt;/SPAN&gt;&lt;SPAN&gt; NULL, nickname &lt;/SPAN&gt;&lt;SPAN&gt;STRING&lt;/SPAN&gt;&lt;SPAN&gt;,&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;CONSTRAINT&lt;/SPAN&gt;&lt;SPAN&gt; person_pk &lt;/SPAN&gt;&lt;SPAN&gt;PRIMARY&lt;/SPAN&gt; &lt;SPAN&gt;KEY&lt;/SPAN&gt;&lt;SPAN&gt; (first_name, last_name)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;);&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;-- delta table with varchar&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;CREATE&lt;/SPAN&gt; &lt;SPAN&gt;TABLE&lt;/SPAN&gt;&lt;SPAN&gt; persons(first_name &lt;/SPAN&gt;&lt;SPAN&gt;STRING&lt;/SPAN&gt; &lt;SPAN&gt;NOT&lt;/SPAN&gt;&lt;SPAN&gt; NULL, last_name &lt;/SPAN&gt;&lt;SPAN&gt;varchar(50)&lt;/SPAN&gt;&amp;nbsp;&lt;SPAN&gt;NOT&lt;/SPAN&gt;&lt;SPAN&gt; NULL, nickname varchar(50)&lt;/SPAN&gt;&lt;SPAN&gt;,&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;CONSTRAINT&lt;/SPAN&gt;&lt;SPAN&gt; person_pk &lt;/SPAN&gt;&lt;SPAN&gt;PRIMARY&lt;/SPAN&gt; &lt;SPAN&gt;KEY&lt;/SPAN&gt;&lt;SPAN&gt; (first_name, last_name)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;);&lt;/SPAN&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</description>
    <pubDate>Fri, 30 Jun 2023 13:39:21 GMT</pubDate>
    <dc:creator>Hongbo</dc:creator>
    <dc:date>2023-06-30T13:39:21Z</dc:date>
    <item>
      <title>Delta table with Varchar column vs string column</title>
      <link>https://community.databricks.com/t5/data-engineering/delta-table-with-varchar-column-vs-string-column/m-p/36473#M26135</link>
      <description>&lt;P&gt;Databricks support string data type. But I can still create delta table with varchar data type. Just wonder what is different between delta table with string and delta table with varchar:&lt;/P&gt;&lt;P&gt;-- delta table with string&lt;/P&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;CREATE&lt;/SPAN&gt; &lt;SPAN&gt;TABLE&lt;/SPAN&gt;&lt;SPAN&gt; persons(first_name &lt;/SPAN&gt;&lt;SPAN&gt;STRING&lt;/SPAN&gt; &lt;SPAN&gt;NOT&lt;/SPAN&gt;&lt;SPAN&gt; NULL, last_name &lt;/SPAN&gt;&lt;SPAN&gt;STRING&lt;/SPAN&gt; &lt;SPAN&gt;NOT&lt;/SPAN&gt;&lt;SPAN&gt; NULL, nickname &lt;/SPAN&gt;&lt;SPAN&gt;STRING&lt;/SPAN&gt;&lt;SPAN&gt;,&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;CONSTRAINT&lt;/SPAN&gt;&lt;SPAN&gt; person_pk &lt;/SPAN&gt;&lt;SPAN&gt;PRIMARY&lt;/SPAN&gt; &lt;SPAN&gt;KEY&lt;/SPAN&gt;&lt;SPAN&gt; (first_name, last_name)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;);&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;-- delta table with varchar&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;CREATE&lt;/SPAN&gt; &lt;SPAN&gt;TABLE&lt;/SPAN&gt;&lt;SPAN&gt; persons(first_name &lt;/SPAN&gt;&lt;SPAN&gt;STRING&lt;/SPAN&gt; &lt;SPAN&gt;NOT&lt;/SPAN&gt;&lt;SPAN&gt; NULL, last_name &lt;/SPAN&gt;&lt;SPAN&gt;varchar(50)&lt;/SPAN&gt;&amp;nbsp;&lt;SPAN&gt;NOT&lt;/SPAN&gt;&lt;SPAN&gt; NULL, nickname varchar(50)&lt;/SPAN&gt;&lt;SPAN&gt;,&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;CONSTRAINT&lt;/SPAN&gt;&lt;SPAN&gt; person_pk &lt;/SPAN&gt;&lt;SPAN&gt;PRIMARY&lt;/SPAN&gt; &lt;SPAN&gt;KEY&lt;/SPAN&gt;&lt;SPAN&gt; (first_name, last_name)&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;);&lt;/SPAN&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Fri, 30 Jun 2023 13:39:21 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/delta-table-with-varchar-column-vs-string-column/m-p/36473#M26135</guid>
      <dc:creator>Hongbo</dc:creator>
      <dc:date>2023-06-30T13:39:21Z</dc:date>
    </item>
    <item>
      <title>Re: Delta table with Varchar column vs string column</title>
      <link>https://community.databricks.com/t5/data-engineering/delta-table-with-varchar-column-vs-string-column/m-p/36767#M26193</link>
      <description>&lt;P&gt;VARCHAR allows you to specify the size of the string expected in the column.&amp;nbsp;&lt;/P&gt;&lt;P&gt;This is useful when you know your column cannot exceed a set size (ie for a name, a code etc).&lt;/P&gt;&lt;P&gt;It is equivalent to a CHECK contraint on the size. Trying to insert a value that exceeds the size given results in the following error :&amp;nbsp;&lt;/P&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;&lt;DIV class=""&gt;com.databricks.sql.transaction.tahoe.schema.DeltaInvariantViolationException: Exceeds char/varchar type length limitation. Failed check: (isnull('last_name) OR (length('last_name) &amp;lt;= 50)).&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;</description>
      <pubDate>Mon, 03 Jul 2023 12:44:20 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/delta-table-with-varchar-column-vs-string-column/m-p/36767#M26193</guid>
      <dc:creator>erigaud</dc:creator>
      <dc:date>2023-07-03T12:44:20Z</dc:date>
    </item>
    <item>
      <title>Re: Delta table with Varchar column vs string column</title>
      <link>https://community.databricks.com/t5/data-engineering/delta-table-with-varchar-column-vs-string-column/m-p/36773#M26196</link>
      <description>&lt;P&gt;Thanks for the precision&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/84270"&gt;@erigaud&lt;/a&gt;&amp;nbsp;!&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 03 Jul 2023 12:55:20 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/delta-table-with-varchar-column-vs-string-column/m-p/36773#M26196</guid>
      <dc:creator>BriceBuso</dc:creator>
      <dc:date>2023-07-03T12:55:20Z</dc:date>
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