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project-away operator

  • Článek

Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft Sentinel

Select what columns from the input table to exclude from the output table.

Syntax

T | project-away ColumnNameOrPattern [, ...]

Learn more about syntax conventions.

Parameters

Name Type Required Description
T string ✔️ The tabular input from which to remove columns.
ColumnNameOrPattern string ✔️ One or more column names or column wildcard-patterns to be removed from the output.

Returns

A table with columns that weren't named as arguments. Contains same number of rows as the input table.

Tip

You can project-away any columns that are present in the original table or that were computed as part of the query.

Note

The order of the columns in the result is determined by their original order in the table. Only the columns that were specified as arguments are dropped. The other columns are included in the result.

Examples

The input table PopulationData has 2 columns: State and Population. Project-away the Population column and you're left with a list of state names.

PopulationData
| project-away Population

The following table shows only the first 10 results.

State
ALABAMA
ALASKA
ARIZONA
ARKANSAS
CALIFORNIA
COLORADO
CONNECTICUT
DELAWARE
DISTRICT OF COLUMBIA
FLORIDA
...

Project-away using a column name pattern

The following query removes columns starting with the word "session".

ConferenceSessions
| project-away session*

The following table shows only the first 10 results.

conference owner participants URL level starttime duration time_and_duration kusto_affinity
PASS Summit 2019 Avner Aharoni https://www.eventbrite.com/e/near-real-time-interact-analytics-on-big-data-using-azure-data-explorer-fg-tickets-77532775619 2019-11-07T19:15:00Z Thu, Nov 7, 11:15 AM-12:15 PM PST Focused
PASS Summit Rohan Kumar Ariel Pisetzky https://www.pass.org/summit/2018/Learn/Keynotes.aspx 2018-11-07T08:15:00Z 90 Wed, Nov 7, 8:15-9:45 am Mention
Intelligent Cloud 2019 Rohan Kumar Henning Rauch 2019-04-09T09:00:00Z 90 Tue, Apr 9, 9:00-10:30 AM Mention
Ignite 2019 Jie Feng https://myignite.techcommunity.microsoft.com/sessions/83940 100 2019-11-06T14:35:00Z 20 Wed, Nov 6, 9:35 AM - 9:55 AM Mention
Ignite 2019 Bernhard Rode Le Hai Dang, Ricardo Niepel https://myignite.techcommunity.microsoft.com/sessions/81596 200 2019-11-06T16:45:00Z 45 Wed, Nov 6, 11:45 AM-12:30 PM Mention
Ignite 2019 Tzvia Gitlin Troyna https://myignite.techcommunity.microsoft.com/sessions/83933 400 2019-11-06T17:30:00Z 75 Wed, Nov 6, 12:30 PM-1:30 PM Focused
Ignite 2019 Jie Feng https://myignite.techcommunity.microsoft.com/sessions/81057 300 2019-11-06T20:30:00Z 45 Wed, Nov 6, 3:30 PM-4:15 PM Mention
Ignite 2019 Manoj Raheja https://myignite.techcommunity.microsoft.com/sessions/83939 300 2019-11-07T18:15:00Z 20 Thu, Nov 7, 1:15 PM-1:35 PM Focused
Ignite 2019 Uri Barash https://myignite.techcommunity.microsoft.com/sessions/81060 300 2019-11-08T17:30:00Z 45 Fri, Nov8, 10:30 AM-11:15 AM Focused
Ignite 2018 Manoj Raheja https://azure.microsoft.com/resources/videos/ignite-2018-azure-data-explorer-%E2%80%93-query-billions-of-records-in-seconds/ 200 20 Focused
... ... ... ... ... ... ... ... ...

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