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    <title>topic Re: Databricks Business dashboards - Interactive cluster Total dollar spent in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/databricks-business-dashboards-interactive-cluster-total-dollar/m-p/132970#M49693</link>
    <description>&lt;P&gt;Also the system table will not provide you the&amp;nbsp; exact dollar amount that you spend in an interactive compute.&amp;nbsp;&lt;/P&gt;&lt;P&gt;Here is the cost breakdown for running interactive compute:&lt;/P&gt;&lt;TABLE border="1" width="100%"&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Component&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Description&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Cost Source&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;DBU Cost&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Based on workload type and tier&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Databricks&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;VM Cost&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Based on instance type and region&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Azure/AWS&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Storage&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Blob + managed disk&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Azure/AWS&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Networking&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;NAT gateway, private endpoints&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Azure/AWS&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Discounts&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;DBCU, Reserved VM, Spot&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Databricks + Azure/AWS&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;UL&gt;&lt;LI&gt;Best Practices for Accurate Cost Attribution&lt;BR /&gt;1. Use system.billing.usage table to track DBU consumption.&lt;BR /&gt;2. Join with Azure Cost Management data to get VM and infra costs.&lt;BR /&gt;3. Apply filters for workload type (sku_name, cluster_id, etc.) to isolate cluster types.&lt;BR /&gt;4. Monitor discount application via Azure Reservations portal.&lt;/LI&gt;&lt;/UL&gt;</description>
    <pubDate>Wed, 24 Sep 2025 18:21:20 GMT</pubDate>
    <dc:creator>nayan_wylde</dc:creator>
    <dc:date>2025-09-24T18:21:20Z</dc:date>
    <item>
      <title>Databricks Business dashboards - Interactive cluster Total dollar spent</title>
      <link>https://community.databricks.com/t5/data-engineering/databricks-business-dashboards-interactive-cluster-total-dollar/m-p/132967#M49691</link>
      <description>&lt;P&gt;I'm working on Databricks Business Dashboards and trying to calculate &lt;STRONG&gt;interactive cluster compute time and total dollar spend&lt;/STRONG&gt; per workspace.&lt;/P&gt;&lt;P&gt;As per standard understanding, the &lt;STRONG&gt;total dollar spent&lt;/STRONG&gt; = Interactive Clusters + Job Clusters + SQL Warehouses.&lt;/P&gt;&lt;P&gt;I'm able to fetch total spend using system, billing, usage and price references from system ,billing ,list prices. However, to isolate &lt;STRONG&gt;Interactive Cluster usage only&lt;/STRONG&gt;, is there any &lt;STRONG&gt;Databricks-recommended filter&lt;/STRONG&gt; (e.g., cluster type, tags, or system fields) that cleanly segregates Interactive Clusters from Job or SQL clusters?&lt;/P&gt;&lt;P&gt;Appreciate any documented best practices or SQL-level filtering logic you've used successfully.&lt;/P&gt;</description>
      <pubDate>Wed, 24 Sep 2025 17:22:07 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/databricks-business-dashboards-interactive-cluster-total-dollar/m-p/132967#M49691</guid>
      <dc:creator>Data_NXT</dc:creator>
      <dc:date>2025-09-24T17:22:07Z</dc:date>
    </item>
    <item>
      <title>Re: Databricks Business dashboards - Interactive cluster Total dollar spent</title>
      <link>https://community.databricks.com/t5/data-engineering/databricks-business-dashboards-interactive-cluster-total-dollar/m-p/132969#M49692</link>
      <description>&lt;P&gt;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/185253"&gt;@Data_NXT&lt;/a&gt;&amp;nbsp;You can look for the following filters.&lt;/P&gt;&lt;P&gt;1.&amp;nbsp;sku_name:&amp;nbsp;STANDARD_ALL_PURPOSE_COMPUTE OR PREMIUM_ALL_PURPOSE_COMPUTE&lt;/P&gt;&lt;P&gt;2.&amp;nbsp;&amp;nbsp;usage_metadata.cluster_id:&amp;nbsp;&lt;/P&gt;&lt;P&gt;Present for non-serverless compute, including interactive clusters.&lt;BR /&gt;Absence of job_id or warehouse_id further confirms it's not a job or SQL warehouse.&lt;/P&gt;&lt;LI-CODE lang="python"&gt;%sql
SELECT 
  workspace_id,
  usage_date,
  usage_quantity,
  sku_name,
  usage_metadata.cluster_id,
  identity_metadata.run_as
FROM system.billing.usage
WHERE sku_name IN ( 'STANDARD_ALL_PURPOSE_COMPUTE','PREMIUM_ALL_PURPOSE_COMPUTE')
  AND usage_metadata.cluster_id IS NOT NULL
  AND usage_metadata.job_id IS NULL
  AND usage_metadata.warehouse_id IS NULL&lt;/LI-CODE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 24 Sep 2025 18:13:55 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/databricks-business-dashboards-interactive-cluster-total-dollar/m-p/132969#M49692</guid>
      <dc:creator>nayan_wylde</dc:creator>
      <dc:date>2025-09-24T18:13:55Z</dc:date>
    </item>
    <item>
      <title>Re: Databricks Business dashboards - Interactive cluster Total dollar spent</title>
      <link>https://community.databricks.com/t5/data-engineering/databricks-business-dashboards-interactive-cluster-total-dollar/m-p/132970#M49693</link>
      <description>&lt;P&gt;Also the system table will not provide you the&amp;nbsp; exact dollar amount that you spend in an interactive compute.&amp;nbsp;&lt;/P&gt;&lt;P&gt;Here is the cost breakdown for running interactive compute:&lt;/P&gt;&lt;TABLE border="1" width="100%"&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Component&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Description&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Cost Source&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;DBU Cost&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Based on workload type and tier&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Databricks&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;VM Cost&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Based on instance type and region&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Azure/AWS&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Storage&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Blob + managed disk&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Azure/AWS&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Networking&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;NAT gateway, private endpoints&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Azure/AWS&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Discounts&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;DBCU, Reserved VM, Spot&lt;/TD&gt;&lt;TD width="33.333333333333336%" height="30px"&gt;Databricks + Azure/AWS&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;UL&gt;&lt;LI&gt;Best Practices for Accurate Cost Attribution&lt;BR /&gt;1. Use system.billing.usage table to track DBU consumption.&lt;BR /&gt;2. Join with Azure Cost Management data to get VM and infra costs.&lt;BR /&gt;3. Apply filters for workload type (sku_name, cluster_id, etc.) to isolate cluster types.&lt;BR /&gt;4. Monitor discount application via Azure Reservations portal.&lt;/LI&gt;&lt;/UL&gt;</description>
      <pubDate>Wed, 24 Sep 2025 18:21:20 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/databricks-business-dashboards-interactive-cluster-total-dollar/m-p/132970#M49693</guid>
      <dc:creator>nayan_wylde</dc:creator>
      <dc:date>2025-09-24T18:21:20Z</dc:date>
    </item>
    <item>
      <title>Re: Databricks Business dashboards - Interactive cluster Total dollar spent</title>
      <link>https://community.databricks.com/t5/data-engineering/databricks-business-dashboards-interactive-cluster-total-dollar/m-p/132974#M49696</link>
      <description>&lt;P&gt;That was really very helpful. Thanks again.&lt;/P&gt;</description>
      <pubDate>Wed, 24 Sep 2025 19:24:01 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/databricks-business-dashboards-interactive-cluster-total-dollar/m-p/132974#M49696</guid>
      <dc:creator>Data_NXT</dc:creator>
      <dc:date>2025-09-24T19:24:01Z</dc:date>
    </item>
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