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    <title>topic joining two csv files without using common column in Splunk Search</title>
    <link>https://community.splunk.com/t5/Splunk-Search/joining-two-csv-files-without-using-common-column/m-p/479583#M134412</link>
    <description>&lt;P&gt;I have two csv files. I have added them as index.  I need to join them but without using any common column. Is there any way?&lt;/P&gt;</description>
    <pubDate>Wed, 11 Sep 2019 10:06:42 GMT</pubDate>
    <dc:creator>harinivgr</dc:creator>
    <dc:date>2019-09-11T10:06:42Z</dc:date>
    <item>
      <title>joining two csv files without using common column</title>
      <link>https://community.splunk.com/t5/Splunk-Search/joining-two-csv-files-without-using-common-column/m-p/479583#M134412</link>
      <description>&lt;P&gt;I have two csv files. I have added them as index.  I need to join them but without using any common column. Is there any way?&lt;/P&gt;</description>
      <pubDate>Wed, 11 Sep 2019 10:06:42 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Splunk-Search/joining-two-csv-files-without-using-common-column/m-p/479583#M134412</guid>
      <dc:creator>harinivgr</dc:creator>
      <dc:date>2019-09-11T10:06:42Z</dc:date>
    </item>
    <item>
      <title>Re: joining two csv files without using common column</title>
      <link>https://community.splunk.com/t5/Splunk-Search/joining-two-csv-files-without-using-common-column/m-p/479584#M134413</link>
      <description>&lt;PRE&gt;&lt;CODE&gt;&amp;lt;First.csv file &amp;gt; | append maxout=0 [ search &amp;lt;second csv.file&amp;gt; ]
&lt;/CODE&gt;&lt;/PRE&gt;

&lt;P&gt;After the above command, it will join both the csv fields, then you can use | stats and get the required fields &lt;/P&gt;</description>
      <pubDate>Wed, 11 Sep 2019 10:24:46 GMT</pubDate>
      <guid>https://community.splunk.com/t5/Splunk-Search/joining-two-csv-files-without-using-common-column/m-p/479584#M134413</guid>
      <dc:creator>SathyaNarayanan</dc:creator>
      <dc:date>2019-09-11T10:24:46Z</dc:date>
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