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Version: 4.0.5

How to Export Data to Google Sheets

This how-to guide creates a chart in Google Sheets depicting the distribution of storage across accounts:

Import data

We will first perform a search that aggregates all storage volumes across all clouds and accounts and returns the total size of all volumes per account. We will then pipe the aggregated result into the format command to flatten the data into rows and columns, and export the data as a CSV file. Finally, we will import the CSV-format data into Google Sheets and create a pie chart.


This guide assumes that you have already installed and configured Fix Inventory to collect your cloud resources.


  1. Execute the following aggregate search in Fix Inventory Shell:

    > search aggregate(/ as cloud, / as account: sum(volume_size * 1024 * 1024 * 1024) as volume_bytes): is(volume)
    ​ cloud: aws
    ​ account: sales-demo
    ​volume_bytes: 2123861327872
    ​ cloud: aws
    ​ account: eng-scaletesting
    ​volume_bytes: 10733123272704
    ​ cloud: aws
    ​ account: general-support
    ​volume_bytes: 6096706076672
  2. Next, pipe the search result into the format command to flatten it into rows and columns:

    > search aggregate(/ as cloud, / as account: sum(volume_size * 1024 * 1024 * 1024) as volume_bytes): is(volume) | format {/} {/group.account},{/volume_bytes}
  3. Then, use the write command to output the data to a CSV file on our local disk:

    > search aggregate(/ as cloud, / as account: sum(volume_size * 1024 * 1024 * 1024) as volume_bytes): is(volume) | format {/} {/group.account},{/volume_bytes} | write storage.csv
    ​Received a file storage.csv, which is stored to ./storage.csv.

    The resulting CSV now contains a list of cloud providers and their associated account names and storage sizes:

    gcp eng-platform-e2e-night,4006130745344
    gcp maestro-124419,183609851904
    gcp sre-tests,10737418240
    gcp kubecon-demo,10737418240
    gcp eng-platform,3081639034880
    gcp gcp-se,1501091069952
    gcp support,63350767616
    digitalocean 10225075,185757335552
    aws eng-testmatrix,42949672960
    aws eng-devprod,309237645312
    aws eng-qualification,214748364800
    aws eng-sre,8589934592
    aws eng-insights,268435456000
    aws scaletesting,2194728288256
    aws eng-ds,12474732511232
    aws sales-se,7816840478720
    aws eng-kudos,7823282929664
    aws eng-platform,10393820856320
    aws eng-soak,13278965137408
    aws eng-production,63944546844672
    aws jenkins,2164663517184
    aws general-services,7095285972992
    aws sales-se,2123861327872
    aws eng-scaletesting,10733123272704
    aws general-support,6096706076672
  4. Create a new Google Sheet.

  5. Open Import from the File menu and select the Upload tab:

    Import data

  6. Drag and drop the storage.csv file generated in step 3 into the Import file dialog:

    Drag file

  7. Select Replace current sheet and click Import data:

    Replace current sheet

    The imported data will be displayed in the sheet:

    Import result

  8. Select column B:

    Select for format

  9. In the Format menu, select Number > Custom number format:

    Custom number format

  10. Enter [<1000000000]0.00,," MB";[<1000000000000]0.0,,," GB";0.0,,,," TB" and click Apply:

    Apply format

    The size column should now be formatted as MB, GB, or TB:

    Formatted result

  11. Select both columns A and B:

    Select columns

  12. In the Insert menu, select Chart:

    Insert chart

  13. Double-click on the new chart object to open its settings. In the Setup tab, select Pie for Chart type:

    Pie chart

  14. In the Customize tab, expand Pie chart and select Value for Slice label:

    Customize slice label

We now have a chart showing how storage usage is distributed between cloud accounts:

Final result

Further Reading​