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This paper provides an in-depth exploration of two core technical approaches for filtering dictionary lists based on attributes in Ansible. Using a practical network configuration data structure as an example, the article details the integration of JMESPath query language in Ansible 2.2+ and demonstrates how to use the json_query filter for complex data query operations. As a supplementary approach, the paper systematically analyzes the combined use of Jinja2 template engine's selectattr filter with equalto test, along with the application of map filter in data transformation. By comparing the technical characteristics, syntax structures, and applicable scenarios of both solutions, this paper offers comprehensive technical reference and practical guidance for data filtering requirements in Ansible automation configuration management.

This article explores the development and technical implementations of JSON query languages, focusing on core features and use cases of mainstream solutions like JsonPath, JSON Pointer, and JMESPath. By comparing supplementary approaches such as XQuery, UNQL, and JaQL, and addressing dynamic query needs, it systematically discusses standardization trends and practical methods for JSON data querying, offering comprehensive guidance for developers in technology selection.

This article explores XSLT equivalents for JSON, focusing on tools and specifications for JSON data transformation. It begins by discussing the core role of XSLT in XML processing, then provides a detailed analysis of various JSON transformation tools, including jq, JOLT, JSONata, and others, comparing their functionalities and use cases. Additionally, the article covers JSON transformation specifications such as JSONPath, JSONiq, and JMESPATH, highlighting their similarities to XPath. Through in-depth technical analysis and code examples, this paper aims to offer developers comprehensive solutions for JSON transformation, enabling efficient handling of JSON data in practical projects.

This article delves into various methods for monitoring storage usage in AWS S3, focusing on the core technique of recursive calculation via AWS CLI command-line tools, and compares alternative approaches such as AWS Console interface, s3cmd tools, and JMESPath queries. It provides detailed explanations of command parameters, pipeline processing, and regular expression filtering to help users select the most suitable monitoring strategy based on practical needs.

This paper provides an in-depth exploration of technical solutions for displaying only filenames while filtering out timestamps and file size information when using the s3 ls command in AWS CLI. By analyzing the output format characteristics of the aws s3 ls command, it详细介绍介绍了 methods for field extraction using text processing tools like awk and sed, and compares the advantages and disadvantages of s3api alternative approaches. The article offers complete code examples and step-by-step explanations to help developers master efficient techniques for processing S3 file lists.