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datatable operator

  • Article

Returns a table whose schema and values are defined in the query itself.

Note

This operator doesn't have a pipeline input.

Syntax

datatable( ColumnName : ColumnType [, ...] [ ScalarValue [, ScalarValue ...] ])

Learn more about syntax conventions.

Parameters

Name Type Required Description
ColumnName:ColumnType string ✓ The name of column and type of data in that column that define the schema of the table.
ScalarValue scalar ✓ The value to insert into the table. The number of values must be an integer multiple of the columns in the table. The n'th value must have a type that corresponds to column n % NumColumns.
Name Type Required Description
ColumnName: ColumnType string ✓ The name of column and type of data in that column that define the schema of the table.
ScalarValue scalar ✓ The value to insert into the table. The number of values must be an integer multiple of the columns in the table. The n'th value must have a type that corresponds to column n % NumColumns.

Returns

This operator returns a data table of the given schema and data.

Example

Run the query

datatable(Date:datetime, Event:string, MoreData:dynamic) [
    datetime(1910-06-11), "Born", dynamic({"key1":"value1", "key2":"value2"}),
    datetime(1930-01-01), "Enters Ecole Navale", dynamic({"key1":"value3", "key2":"value4"}),
    datetime(1953-01-01), "Published first book", dynamic({"key1":"value5", "key2":"value6"}),
    datetime(1997-06-25), "Died", dynamic({"key1":"value7", "key2":"value8"}),
]
| where strlen(Event) > 4
| extend key2 = MoreData.key2

Output

Date Event MoreData key2
1930-01-01 00:00:00.0000000 Enters Ecole Navale {
"key1": "value3",
"key2": "value4"
}		 value4
1953-01-01 00:00:00.0000000 Published first book {
"key1": "value5",
"key2": "value6"
}		 value6