Adds a new column that rounds the values of a numeric field, returning the smallest following integer numbers.
Use Floor (floor) if you want to get the largest previous integers.
How does it work in the search window?
Select Create column in the search window toolbar, then select the Ceiling operation. You need to specify one argument:
|Number to round (mandatory)||integer, float|
The data type of the values in the new column is integer or float, depending on the selected input data.
The examples in this article use values in a data table generated from this CSV file. If you want to try the example for yourself, download the file and upload it to your domain clicking Data upload in the navigation pane. Name the new table
my.upload.sample.data and select Current date as Date parsing type. Learn more about uploading data in Uploading log files.
After receiving the confirmation message, you can access the table from the Finder, selecting my → upload → sample → data. When you upload data from a file, all the information is included in a single column called message. To split the values into different columns, you can use the Split operation. Click Toggle Query Editor in the search window toolbar and paste the following LINQ query to save time:
select split(message, ";", 15) as `-1to1Values`,
float(`-1to1Values`) as `-1to1Values_float`
We want to round up all the numbers in the -1to1Values_float column. To do it, we will create a new column using the Ceiling operation. Let's call the new column rounded_up.
The arguments needed to create the new column are:
- Number to round - -1to1Values_float column
Click Create column and you will see the following result:
How does it work in LINQ?
Use the operator
as... and add the operation syntax to create the new column. This is the syntax for the Ceiling operation:
You can copy the following LINQ script and try the above example on the
from my.upload.sample.data select split(message, ";", 15) as `-1to1Values`, float(`-1to1Values`) as `-1to1Values_float`, ceil(`-1to1Values_float`) as rounded_up