Provide a DataPrime language reference for querying logs, spans, and observability data.
npx skills add https://github.com/coralogix/cx-cli --skill dataprime
Please help me install this Agent Skill. Skill: dataprime Source: https://github.com/coralogix/cx-cli/tree/main/skills/dataprime Command: npx skills add https://github.com/coralogix/cx-cli --skill dataprime
DataPrime provides a centralized reference for the syntax, commands, and operators used to query logs, spans, and other observability data, helping users avoid guesswork and errors when building queries.
Ask for a DataPrime syntax example or guidance to construct a query.
High-intent search queries and answers about installing and using this skill.
DataPrime query language is used to query logs, spans, and observability data. It provides a structured syntax with specific prefixes, operators, and functions to filter and analyze system telemetry effectively.
To construct a valid query for logs and spans, apply the correct DataPrime syntax structures, data prefixes, and operators. You can reference dedicated syntax guides and practical examples to validate and optimize your observability data queries.
DataPrime supports a variety of operators, types, and aggregations designed for processing logs and spans. These functions allow you to filter, aggregate, and transform observability data efficiently during query construction.
Yes, DataPrime syntax applies to both logs and spans. The language provides specific data prefixes and commands that allow you to uniformly query and analyze different types of observability data across your infrastructure.
To fix DataPrime syntax errors, verify your query structure against a comprehensive reference covering valid data prefixes, types, and operators. Using provided examples helps identify mistakes and validate query construction for observability data.
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