![]() This document describes how to set up and configure a single-node Hadoop installation so that you can quickly perform simple operations using Hadoop MapReduce and the Hadoop Distributed File System (HDFS). Hadoop: Setting up a Single Node Cluster. Running Applications in runC Containers.Running Applications in Docker Containers.For more information about the -query option, see Filter AWS CLI output. 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. You can download it and find documentation at. 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. You can download it and find documentation at yq repository on GitHub. 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 its YAML is a good choice for handling the output ![]() The following is an example of JSON output. You can download it and find the official tutorial at. query, you can consider jq, a command line JSON processor. You can combine JSON output with the -query option in powerful ways to filter andįormat the AWS CLI JSON-formatted output.įor more advanced filtering that you might not be able to do with Most programming languages can easily decode JSON strings using built-in functions or JSON is the default output format of the AWS CLI. The AWS CLI runs the query only once against the entire structure, producing a Single, native structure before the -query filter is applied. Yaml-stream the output is completely processed as a If you specify -output json, -output yaml, or -output To additionally filter the output, you can use Includes the first matching element on each page which can result in If you specify -output text, the output is paginatedįilter is applied, and the AWS CLI runs the query once on each page of the output.
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