Json query tool5/22/2023 It can solve many JSON parsing tasks within your playbook, avoiding the need to write custom filters. The json_query filter is a powerful tool to have at your disposal. It requires learning a new query language, but hopefully this guide will help you get started with some common use cases. The jmespath specification has good documentation and support for numerous languages. Be mindful of quotes within a query string, especially when using linters that specify a standard that may conflict with the jmespath specification.Use a test playbook, using the same data as your original playbook, with tasks dedicated to printing query string evaluation output to the console.Ensure the data provided as input to the json_query filter is a valid JSON object.Get familiar with basic jmespath expressions using the interactive tutorial.Here are some general tips that could be useful while developing a playbook using json_query. In the Basic Filter example below, the query string selects the version key for each element in the entry array. The default data type returned by json_query filter is a list. ![]() The query string provides the expression that is evaluated against the data to return filtered output. Using the result data, the filter is applied to the valid JSON result with an additional query string argument. ![]() Using an expression evaluation as a data type. JMESPath Operators current node being evaluated.ĭot-notation to access a value of the given key. See references at the end for the jmespath specification. The JMESPath Operators table below summarizes some of the most common operators used in the jmespath query language. # Use the YAML callback plugin for output The json_query filter expects valid JSON as an input, so the Jinja2 expression below can also be passed directly into the json_query filter. A result variable was set to simplify the readability of the following examples. This string can be passed into the from_json filter to provide a valid JSON data structure. On Palo Alto devices the default stdout response is returned as a JSON encoded string. The jmespath third-party library must be installed on the host for the json_query filter to operate. It uses the third-party jmespath library, a powerful JSON query language supporting the parsing of complex structured data. The built-in json_query filter provides the functionality for filtering, shaping, and transforming JSON data. This can lead to complex task definition, making playbook maintenance more difficult. ![]() The extensive filters available, and what to use and when, can be overwhelming at first and the desired result can often require multiple filters chained together. ![]() array - an ordered sequence of objects (like Python list)Īnsible provides many built-in capabilities to consume JSON using Ansible specific filters or the Jinja2 built-in filters.object - an unordered collection of key/value pairs (like Python dict).Nowadays, the JSON format is heavily used by equipment vendors to represent complex objects in a structured way to allow programmatic interaction with devices. Parsing structured JSON data in Ansible playbooks is a common task.
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