This topic describes the different output formats for the AWS Command Line Interface (AWS CLI). The AWS CLI supports the following output formats:
yaml-stream – The output is streamed and formatted as aYAML string. Streaming allows for faster handling of large data types.
text – The output is formatted as multiple lines of tab-separated string values. This can be useful to pass the output to a text processor, likegrep
,sed
, orawk
.
table – The output is formatted as a table using the characters +|- to form the cell borders. It typically presents the information in a "human-friendly" format that is much easier to read than the others, but not as programmatically useful.
As explained in theconfiguration topic, you can specify the output format in three ways:
Using theoutput
option in a named profile in theconfig
file – The following example sets the default output format totext
.
[default]output=text
Using theAWS_DEFAULT_OUTPUT
environment variable – The following output sets the format totable
for the commands in this command line session until the variable is changed or the session ends. Using this environment variable overrides any value set in theconfig
file.
$
export AWS_DEFAULT_OUTPUT="table"
Using the--output
option on the command line – The following example sets the output of only this one command tojson
. Using this option on the command overrides any currently set environment variable or the value in theconfig
file.
$
aws swf list-domains --registration-status REGISTERED --output json
The output type you specify changes how the--query
option operates:
If you specify--output text
, the output is paginatedbefore the--query
filter is applied, and the AWS CLI runs the query once oneach page of the output. Due to this, the query includes the first matching element on each page which can result in unexpected extra output. To additionally filter the output, you can use other command line tools such ashead
ortail
.
If you specify--output json
,--output yaml
, or--output yaml-stream
the output is completely processed as a single, native structure before the--query
filter is applied. The AWS CLI runs the query only once against the entire structure, producing a filtered result that is then output.
JSON is the default output format of the AWS CLI. Most programming languages can easily decode JSON strings using built-in functions or with publicly available libraries. You can combine JSON output with the--query option in powerful ways to filter and format the AWS CLI JSON-formatted output.
For more advanced filtering that you might not be able to do with--query
, you can considerjq
, a command line JSON processor. You can download it and find the official tutorial athttp://stedolan.github.io/jq/.
The following is an example of JSON output.
$
aws iam list-users --output json
{ "Users": [{ "Path": "/", "UserName": "Admin", "UserId": "AIDA1111111111EXAMPLE", "Arn": "arn:aws:iam::123456789012:user/Admin", "CreateDate": "2014-10-16T16:03:09+00:00", "PasswordLastUsed": "2016-06-03T18:37:29+00:00" },{ "Path": "/backup/", "UserName": "backup-user", "UserId": "AIDA2222222222EXAMPLE", "Arn": "arn:aws:iam::123456789012:user/backup/backup-user", "CreateDate": "2019-09-17T19:30:40+00:00" },{ "Path": "/", "UserName": "cli-user", "UserId": "AIDA3333333333EXAMPLE", "Arn": "arn:aws:iam::123456789012:user/cli-user", "CreateDate": "2019-09-17T19:11:39+00:00" } ]}
YAML is a good choice for handling the output programmatically with services and tools that emit or consumeYAML-formatted strings, such as AWS CloudFormation with its support forYAML-formatted templates.
For more advanced filtering that you might not be able to do with--query
, you can consideryq
, a command line YAML processor. You can downloadyq
in theyq repository onGitHub.
The following is an example of YAML output.
$
aws iam list-users --output yaml
Users:- Arn: arn:aws:iam::123456789012:user/Admin CreateDate: '2014-10-16T16:03:09+00:00' PasswordLastUsed: '2016-06-03T18:37:29+00:00' Path: / UserId: AIDA1111111111EXAMPLE UserName: Admin- Arn: arn:aws:iam::123456789012:user/backup/backup-user CreateDate: '2019-09-17T19:30:40+00:00' Path: /backup/ UserId: AIDA2222222222EXAMPLE UserName: arq-45EFD6D1-CE56-459B-B39F-F9C1F78FBE19- Arn: arn:aws:iam::123456789012:user/cli-user CreateDate: '2019-09-17T19:30:40+00:00' Path: / UserId: AIDA3333333333EXAMPLE UserName: cli-user
Theyaml-stream
format takes advantage of theYAML format while providing more responsive/faster viewing of large data sets by streaming the data to you. You can start viewing and using YAML data before the entire query downloads.
For more advanced filtering that you might not be able to do with--query
, you can consideryq
, a command line YAML processor. You can downloadyq
in theyq repository onGitHub.
The following is an example ofyaml-stream
output.
$
aws iam list-users --output yaml-stream
- IsTruncated: false Users: - Arn: arn:aws:iam::123456789012:user/Admin CreateDate: '2014-10-16T16:03:09+00:00' PasswordLastUsed: '2016-06-03T18:37:29+00:00' Path: / UserId: AIDA1111111111EXAMPLE UserName: Admin - Arn: arn:aws:iam::123456789012:user/backup/backup-user CreateDate: '2019-09-17T19:30:40+00:00' Path: /backup/ UserId: AIDA2222222222EXAMPLE UserName: arq-45EFD6D1-CE56-459B-B39F-F9C1F78FBE19 - Arn: arn:aws:iam::123456789012:user/cli-user CreateDate: '2019-09-17T19:30:40+00:00' Path: / UserId: AIDA3333333333EXAMPLE UserName: cli-user
The following is an example ofyaml-stream
output in conjunction with using the--page-size
parameter to paginate the streamed YAML content.
$
aws iam list-users --output yaml-stream --page-size 2
- IsTruncated: true Marker: ab1234cdef5ghi67jk8lmo9p/q012rs3t445uv6789w0x1y2z/345a6b78c9d00/1efgh234ij56klmno78pqrstu90vwxyx Users: - Arn: arn:aws:iam::123456789012:user/Admin CreateDate: '2014-10-16T16:03:09+00:00' PasswordLastUsed: '2016-06-03T18:37:29+00:00' Path: / UserId: AIDA1111111111EXAMPLE UserName: Admin - Arn: arn:aws:iam::123456789012:user/backup/backup-user CreateDate: '2019-09-17T19:30:40+00:00' Path: /backup/ UserId: AIDA2222222222EXAMPLE UserName: arq-45EFD6D1-CE56-459B-B39F-F9C1F78FBE19- IsTruncated: false Users: - Arn: arn:aws:iam::123456789012:user/cli-user CreateDate: '2019-09-17T19:30:40+00:00' Path: / UserId: AIDA3333333333EXAMPLE UserName: cli-user
Thetext
format organizes the AWS CLI output into tab-delimited lines. It works well with traditional Unix text tools such asgrep
,sed
, andawk
, and the text processing performed by PowerShell.
Thetext
output format follows the basic structure shown below. The columns are sorted alphabetically by the corresponding key names of the underlying JSON object.
IDENTIFIER sorted-column1 sorted-column2IDENTIFIER2 sorted-column1 sorted-column2
The following is an example oftext
output. Each field is tab separated from the others, with an extra tab where there is an empty field.
$
aws iam list-users --output text
USERS arn:aws:iam::123456789012:user/Admin 2014-10-16T16:03:09+00:00 2016-06-03T18:37:29+00:00 / AIDA1111111111EXAMPLE AdminUSERS arn:aws:iam::123456789012:user/backup/backup-user 2019-09-17T19:30:40+00:00 /backup/ AIDA2222222222EXAMPLE backup-userUSERS arn:aws:iam::123456789012:user/cli-user 2019-09-17T19:11:39+00:00 / AIDA3333333333EXAMPLE cli-user
The fourth column is thePasswordLastUsed
field, and is empty for the last two entries because those users never sign in to the AWS Management Console.
We strongly recommend that if you specifytext
output, you also always use the--query option to ensure consistent behavior.
This is because the text format alphabetically orders output columns by the key name of the underlying JSON object returned by the AWS service, and similar resources might not have the same key names. For example, the JSON representation of a Linux-based Amazon EC2 instance might have elements that are not present in the JSON representation of a Windows-based instance, or vice versa. Also, resources might have key-value elements added or removed in future updates, altering the column ordering. This is where--query
augments the functionality of thetext
output to provide you with complete control over the output format.
In the following example, the command specifies which elements to display anddefines the ordering of the columns with the list notation[key1, key2, ...]
. This gives you full confidence that the correct key values are always displayed in the expected column. Finally, notice how the AWS CLI outputsNone
as the value for keys that don't exist.
$
aws iam list-users --output text --query 'Users[*].[UserName,Arn,CreateDate,PasswordLastUsed,UserId]'
Admin arn:aws:iam::123456789012:user/Admin 2014-10-16T16:03:09+00:00 2016-06-03T18:37:29+00:00 AIDA1111111111EXAMPLEbackup-user arn:aws:iam::123456789012:user/backup-user 2019-09-17T19:30:40+00:00 None AIDA2222222222EXAMPLEcli-user arn:aws:iam::123456789012:user/cli-backup 2019-09-17T19:11:39+00:00 None AIDA3333333333EXAMPLE
The following example shows how you can usegrep
andawk
with thetext
output from theaws ec2 describe-instances
command. The first command displays the Availability Zone, current state, and the instance ID of each instance intext
output. The second command processes that output to display only the instance IDs of all running instances in theus-west-2a
Availability Zone.
$
aws ec2 describe-instances --query 'Reservations[*].Instances[*].[Placement.AvailabilityZone, State.Name, InstanceId]' --output text
us-west-2a running i-4b41a37cus-west-2a stopped i-a071c394us-west-2b stopped i-97a217a0us-west-2a running i-3045b007us-west-2a running i-6fc67758
$
aws ec2 describe-instances --query 'Reservations[*].Instances[*].[Placement.AvailabilityZone, State.Name, InstanceId]' --output text | grep us-west-2a | grep running | awk '{print $3}'
i-4b41a37ci-3045b007i-6fc67758
The following example goes a step further and shows not only how to filter the output, but how to use that output to automate changing instance types for each stopped instance.
$
aws ec2 describe-instances --query 'Reservations[*].Instances[*].[State.Name, InstanceId]' --output text |
>
grep stopped |
>
awk '{print $2}' |
>
while read line;
>
do aws ec2 modify-instance-attribute --instance-id $line --instance-type '{"Value": "m1.medium"}';
>
done
Thetext
output can also be useful in PowerShell. Because the columns intext
output are tab delimited, you can easily split the output into an array by using PowerShell's`t
delimiter. The following command displays the value of the third column (InstanceId
) if the first column (AvailabilityZone
) matches the stringus-west-2a
.
PS C:\>
aws ec2 describe-instances --query 'Reservations[*].Instances[*].[Placement.AvailabilityZone, State.Name, InstanceId]' --output text |%{if ($_.split("`t")[0] -match "us-west-2a"){ $_.split("`t")[2]; } }
-4b41a37ci-a071c394i-3045b007i-6fc67758
Notice that although the previous example does show how to use the--query
parameter to parse the underlying JSON objects and pull out the desired column, PowerShell has its own ability to handle JSON, if cross-platform compatibility isn't a concern. Instead of handling the output as text, as most command shells require, PowerShell lets you use theConvertFrom-JSON
cmdlet to produce a hierarchically structured object. You can then directly access the member you want from that object.
(aws ec2 describe-instances --output json | ConvertFrom-Json).Reservations.Instances.InstanceId
If you output text, and filter the output to a single field using the--query
parameter, the output is a single line of tab-separated values. To get each value onto a separate line, you can put the output field in brackets, as shown in the following examples.
Tab separated, single-line output:
$
aws iam list-groups-for-user --user-name susan --output text --query "Groups[].GroupName"
HRDepartment Developers SpreadsheetUsers LocalAdmins
Each value on its own line by putting[GroupName]
in brackets:
$
aws iam list-groups-for-user --user-name susan --output text --query "Groups[].[
GroupName]
"
HRDepartmentDevelopersSpreadsheetUsersLocalAdmins
Thetable
format produces human-readable representations of complex AWS CLI output in a tabular form.
$
aws iam list-users --output table
-----------------------------------------------------------------------------------------------------------------------------------------------------------------| ListUsers |+---------------------------------------------------------------------------------------------------------------------------------------------------------------+|| Users |||+----------------------------------------------------+---------------------------+---------------------------+----------+-----------------------+-------------+||| Arn | CreateDate | PasswordLastUsed | Path | UserId | UserName |||+----------------------------------------------------+---------------------------+---------------------------+----------+-----------------------+-------------+||| arn:aws:iam::123456789012:user/Admin | 2014-10-16T16:03:09+00:00 | 2016-06-03T18:37:29+00:00 | / | AIDA1111111111EXAMPLE | Admin |||| arn:aws:iam::123456789012:user/backup/backup-user | 2019-09-17T19:30:40+00:00 | | /backup/ | AIDA2222222222EXAMPLE | backup-user |||| arn:aws:iam::123456789012:user/cli-user | 2019-09-17T19:11:39+00:00 | | / | AIDA3333333333EXAMPLE | cli-user ||+---------------------------------------------------------------------------------------------------------------------------------------------------------------+
You can combine the--query
option with thetable
format to display a set of elements preselected from the raw output. Notice the output differences between dictionary and list notations: in the first example, column names are ordered alphabetically, and in the second example, unnamed columns are ordered as defined by the user. For more information about the--query
option, seeFiltering output in the AWS CLI.
$
aws ec2 describe-volumes --query 'Volumes[*].{ID:VolumeId,InstanceId:Attachments[0].InstanceId,AZ:AvailabilityZone,Size:Size}' --output table
------------------------------------------------------| DescribeVolumes | +------------+----------------+--------------+-------+| AZ | ID | InstanceId | Size |+------------+----------------+--------------+-------+| us-west-2a| vol-e11a5288 | i-a071c394 | 30 || us-west-2a| vol-2e410a47 | i-4b41a37c | 8 |+------------+----------------+--------------+-------+
$
aws ec2 describe-volumes --query 'Volumes[*].[VolumeId,Attachments[0].InstanceId,AvailabilityZone,Size]' --output table
----------------------------------------------------| DescribeVolumes |+--------------+--------------+--------------+-----+| vol-e11a5288| i-a071c394 | us-west-2a | 30 || vol-2e410a47| i-4b41a37c | us-west-2a | 8 |+--------------+--------------+--------------+-----+