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How does it work in the search window?
Select Create column in the search window toolbar, then select the Make byte array operation. You need to specify at least one argument, and you can add as many value arguments as needed:
Argument | Data type |
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value mandatory | integer |
The data type of the values in the new column is boxar(int1).
Example
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The examples in this article use values in a data table generated from the following CSV file.
If you want to try the example for yourself, download the file and upload it to your domain by clicking Data upload in the navigation panel. Name the new table 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:
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In the my.upload.cample.data table, we want to transform the base64 strings in the integerValues1 and integerValues2 columns into byte arrays. To do it, we will create a new column using the Make byte array operation. Let's call the new column byteArray.
The arguments needed to create the new column are:
value - integerValues1 column
value - integerValues2 column
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Click Create column and you will see the following result:
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mkboxar(integer1, integer2, integer3...)
Example
You can copy the following LINQ script and try the above example on the my.upload.sample.data table. Keep in mind that you must download and upload the file provided before to your Devo domain.
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from my.upload.sample.data
select split(message, ";", 16) as posNumbers1
select split(message, ";", 17) as posNumbers2
select int(posNumbers1) as integerValues1
select int(posNumbers2) as integerValues2,
mkboxar(integerValues1, integerValues2) as byteArray |