Notice the output differencesīetween dictionary and list notations: in the first example, column names are orderedĪlphabetically, and in the second example, unnamed columns are ordered as defined by the You can combine the -query option with the table format toĭisplay a set of elements preselected from the raw output. || Arn | CreateDate | PasswordLastUsed | Path | UserId | UserName ||
How the AWS CLI outputs None as the value for keys The correct key values are always displayed in the expected column. In the following example, the command specifies which elements to display andĭefines the ordering of the columns with the Text output to provide you with complete control over the output This is where -query augments the functionality of the Have key-value elements added or removed in future updates, altering the column Representation of a Windows-based instance, or vice versa. For example, the JSON representation ofĪ Linux-based Amazon EC2 instance might have elements that are not present in the JSON Resources might not have the same key names. Name of the underlying JSON object returned by the AWS service, and similar This is because the text format alphabetically orders output columns by the key We strongly recommend that if you specify text output, you TheĬolumns are sorted alphabetically by the corresponding key names of the underlying JSON The text output format follows the basic structure shown below. Works well with traditional Unix text tools such as grep, sed,Īnd awk, and the text processing performed by PowerShell. The text format organizes the AWS CLI output into tab-delimited lines. The following is an example of yaml-stream output. YAML data before the entire query downloads. Viewing of large data sets by streaming the data to you. The yaml-stream format takes advantage of the YAML format while providing more responsive/faster The following is an example of YAML output.
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You can download it and find documentation at. query, you can consider yq, a command line YAML processor. Programmatically with services and tools that emit or consume YAML -formatted strings, such as AWS CloudFormation with itsįor more advanced filtering that you might not be able to do with YAML is a good choice for handling the output Counting a 1.5Meg text file in under 0.015 secs seems fast. Remove the -n and get the count for the whole file. The rest is just to sum the count per line, and format the output. "Arn": "arn:aws:iam::123456789012:user/backup/backup-user", grep -n -o ' file sort -n uniq -c cut -d : -f 1 where grep does all the heavy lifting: reports each character found at each line number.
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