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Tables are named entities that hold data. A table has an ordered set of columns, and zero or more rows of data. Each row holds one data value for each of the columns of the table. The order of rows in the table is unknown, and doesn't in general affect queries, except for some tabular operators (such as the top operator) that are inherently undetermined.
You can create an empty table without a data source to use as a testing environment, or for ingesting data in a later stage. In this article, you learn how to create an empty table within the context of a KQL database.
Browse to your desired KQL database.
Select +New > Table.
Enter a name for your table.
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Table names can be up to 1024 characters including alphanumeric, hyphens, and underscores. Special characters aren't supported.
Select Next: Source.
The tool automatically infers the schema based on your data. To create a schema without a data source, you need to add columns under Partial data preview.
The command viewer shows the commands for creating tables, mapping, and ingesting data in tables.
To open the command viewer, select the v button on the right side of the command viewer. In the command viewer, you can view and copy the automatic commands generated from your inputs.
The partial data preview is automatically inferred based on your data.
To add a new column, select Add new column under Partial data preview.
Enter a column name. The column name should start with a letter, and can contain numbers, periods, hyphens, or underscores.
Select a data type for your column. The default column type is string
but can be altered in the dropdown menu of the Column type field.
Select Add column to add more columns.
Select Save to add the columns to your table.
The Partial data preview reflects the added columns:
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Optionally, you can edit existing columns and add new columns by selecting Edit columns or the + button on the right-hand column under Partial data preview.
Select Next: Summary to create the table mapping.
In the Create table completed window, the empty table is marked with a green check mark to indicate that it was created successfully.
Събитие
31.03, 23 ч. - 2.04, 23 ч.
Най-голямото събитие за обучение на Fabric, Power BI и SQL. 31 март – 2 април. Използвайте код FABINSIDER, за да спестите $400.
Регистрирайте се днесОбучение
Модул
Create tables in Microsoft Dataverse - Training
Explore secure data management with Dataverse, learning how to create tables and import data into a cloud-based storage system.
Сертифициране
Microsoft Certified: Azure Data Fundamentals - Certifications
Demonstrate foundational knowledge of core data concepts related to Microsoft Azure data services.