Select the columns to include, rename or drop, and insert new computed columns.
The order of the columns in the result is specified by the order of the arguments. Only the columns specified in the arguments are included in the result: any others in the input are dropped. (See also
T | project cost=price*quantity, price
| project ColumnName [
= Expression] [
| project [ColumnName |
=] Expression [
T: The input table.
ColumnName: Optional name of a column to appear in the output. If there is no Expression, then ColumnName is mandatory and a column of that name must appear in the input. If omitted then the name will be generated. If Expression returns more than one column, then a list of column names can be specified in parenthesis. In this case Expression's output columns will be given the specified names, dropping all rest of the output columns if any. If list of the column names is not specified then all Expression's output columns with generated names will be added to output.
Expression: Optional scalar expression referencing the input columns. If ColumnName is not omitted then Expression* is mandatory.
It is legal to return a new calculated column with the same name as an existing column in the input.
A table that has the columns named as arguments, and as many rows as the input table.
The following example shows several kinds of manipulations that can be done
project operator. The input table
T has three columns of type
T | project X=C, // Rename column C to X A=2*B, // Calculate a new column A from the old B C=strcat("-",tostring(C)), // Calculate a new column C from the old C B=2*B // Calculate a new column B from the old B
See series_stats as an example of a function that returns multiple columns