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    <title>topic Re: Dense Snapshot Truncation? in Data &amp; Schema Discussions</title>
    <link>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2289#M130</link>
    <description>&lt;P&gt;I think - if I read the question correctly - that the only way to accomplish this is to run an insight into .csv, edit the .csv, and then reload.&amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/P&gt;&lt;P&gt;AFAIK there is no way to edit the actual parquet file directly.&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Mon, 01 Aug 2022 22:51:41 GMT</pubDate>
    <dc:creator>RADSr</dc:creator>
    <dc:date>2022-08-01T22:51:41Z</dc:date>
    <item>
      <title>Dense Snapshot Truncation?</title>
      <link>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2287#M129</link>
      <description>&lt;P&gt;I've read and implemented a dense snapshot table. It works exactly as expected. Yay!&lt;/P&gt;&lt;P&gt;What I need now is a way to trim the snapshot. The start of the snapshot has a starting date way back when. I want to move that starting date forward so as to limit the range of the data without losing any data.&lt;/P&gt;&lt;P&gt;tia!&lt;/P&gt;</description>
      <pubDate>Mon, 01 Aug 2022 17:37:24 GMT</pubDate>
      <guid>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2287#M129</guid>
      <dc:creator>marcpaige</dc:creator>
      <dc:date>2022-08-01T17:37:24Z</dc:date>
    </item>
    <item>
      <title>Re: Dense Snapshot Truncation?</title>
      <link>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2289#M130</link>
      <description>&lt;P&gt;I think - if I read the question correctly - that the only way to accomplish this is to run an insight into .csv, edit the .csv, and then reload.&amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/P&gt;&lt;P&gt;AFAIK there is no way to edit the actual parquet file directly.&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 01 Aug 2022 22:51:41 GMT</pubDate>
      <guid>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2289#M130</guid>
      <dc:creator>RADSr</dc:creator>
      <dc:date>2022-08-01T22:51:41Z</dc:date>
    </item>
    <item>
      <title>Re: Dense Snapshot Truncation?</title>
      <link>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2291#M131</link>
      <description>&lt;P&gt;I get it. The data source for the snapshot is a SQL database. I don't understand how to make the switch. I get the export and edit. Reloading means changing the data source. If I change the data source back from text file to database will it work?&lt;/P&gt;</description>
      <pubDate>Tue, 02 Aug 2022 01:28:28 GMT</pubDate>
      <guid>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2291#M131</guid>
      <dc:creator>marcpaige</dc:creator>
      <dc:date>2022-08-02T01:28:28Z</dc:date>
    </item>
    <item>
      <title>Re: Dense Snapshot Truncation?</title>
      <link>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2292#M132</link>
      <description>&lt;P&gt;No, there is no supported way to manipulate the parquet files from Incorta.&lt;/P&gt;
&lt;P&gt;If your concern is about the size of the data that will take the memory space in the Incorta engine, you may add a Data Load filter and run a load from staging.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Otherwise, I must say that I did not try this myself, but we may query the data from another MV code to back up the data, and optional apply a filter during querying the snapshot table ti build the backup.&lt;/P&gt;
&lt;P&gt;The data in the original snapshot table will be empty when we run a full load, but a second data source that uses an Incorta over Incorta SQL (with postgreSQL connector) can run against the backup MV to bring those old snapshot data back.&amp;nbsp; The incremental refresh from the original data set can continue building the the new snapshots.&amp;nbsp; The 2nd data set that brings the data from the backup can have a 1=0 filter to return nothing during incremental.&lt;BR /&gt;Periodically when the old snapshot data have to be removed, run the above processes as full load manually at the table level.&amp;nbsp; &lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 02 Aug 2022 08:47:03 GMT</pubDate>
      <guid>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2292#M132</guid>
      <dc:creator>dylanwan</dc:creator>
      <dc:date>2022-08-02T08:47:03Z</dc:date>
    </item>
    <item>
      <title>Re: Dense Snapshot Truncation?</title>
      <link>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2430#M141</link>
      <description>&lt;P&gt;Hi - Wondering, whether there is a Video clip or Incorta page screenshots on how to create snapshots. That would be easier to perceive than a text document.&lt;/P&gt;</description>
      <pubDate>Wed, 17 Aug 2022 17:19:52 GMT</pubDate>
      <guid>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2430#M141</guid>
      <dc:creator>Incortaconsulta</dc:creator>
      <dc:date>2022-08-17T17:19:52Z</dc:date>
    </item>
    <item>
      <title>Re: Dense Snapshot Truncation?</title>
      <link>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2431#M142</link>
      <description>&lt;P&gt;This isn't a video, but offers a step-by-step:&amp;nbsp; &amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://community.incorta.com/t5/data-schemas-knowledgebase/creating-snapshot-tables-with-incorta/ta-p/811" target="_blank"&gt;https://community.incorta.com/t5/data-schemas-knowledgebase/creating-snapshot-tables-with-incorta/ta-p/811&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 17 Aug 2022 17:26:16 GMT</pubDate>
      <guid>https://community.incorta.com/t5/data-schema-discussions/dense-snapshot-truncation/m-p/2431#M142</guid>
      <dc:creator>RADSr</dc:creator>
      <dc:date>2022-08-17T17:26:16Z</dc:date>
    </item>
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