How to Distinguish User-Executed Queries from Internal Queries in PostgreSQL Logs скачать в хорошем качестве

How to Distinguish User-Executed Queries from Internal Queries in PostgreSQL Logs

Discover effective methods to differentiate between `user-executed` queries and `internal` queries in PostgreSQL log files using the right configurations and tools. --- This video is based on the question https://stackoverflow.com/q/68912381/ asked by the user 'Oto Shavadze' ( https://stackoverflow.com/u/1609729/ ) and on the answer https://stackoverflow.com/a/68912457/ provided by the user 'Laurenz Albe' ( https://stackoverflow.com/u/6464308/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Distinguish queries run by user directly, from internal queries, in log files Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Distinguishing User-Executed Queries from Internal Queries in PostgreSQL Logs When managing a PostgreSQL database, logging is essential for troubleshooting and optimizing performance. However, when examining these logs, users often face the challenge of differentiating between queries run directly by users and those executed internally by system processes or tools like pgAdmin. This distinction can be crucial for understanding database activity and identifying potential issues. In this guide, we will explore effective methods to make this distinction clearer. Understanding the Challenge When you enable logging in PostgreSQL with parameters like log_statement=all and log_min_duration_statement=0, the database logs every query that is executed. This includes both user-directed operations and internal queries—those generated by the database’s own processes or tools interacting with it. However, PostgreSQL does not inherently categorize these queries, leaving you with a large volume of log entries to sift through. Common Internal Queries Queries run by tools like pgAdmin Background processes initiated by the server or applications System queries generated by database drivers User-Executed Queries Direct commands input by users via CLI or database interfaces SQL statements written in applications that connect to PostgreSQL The Solution: Logging with Context To effectively distinguish between user-executed and internal queries in your logs, follow these steps: Step 1: Enable Comprehensive Logging While you've already set log_statement=all and log_min_duration_statement=0, consider incorporating another logging extension called auto_explain. This extension can enhance your logs with additional breakdowns of the queries being executed. How to Enable auto_explain Edit your PostgreSQL configuration file (postgresql.conf). Add or modify the following line: [[See Video to Reveal this Text or Code Snippet]] Configure logging for nested statements by adding: [[See Video to Reveal this Text or Code Snippet]] Restart your PostgreSQL service for changes to take effect. Step 2: Analyze Your Logs With comprehensive logging enabled, you will start to see more detailed information in your logs, including the context of query executions. Look for Patterns: Internal queries often appear at specific times or in regular intervals due to automated processes. Identify User Input: Queries that are non-repetitive and vary widely in complexity are typically from users. Step 3: Use Query Identification Tools If manual logging analysis becomes overwhelming, consider using third-party tools that can parse and categorize log entries. These tools can automatically separate user and internal queries based on execution patterns. Conclusion While PostgreSQL does not automatically differentiate between user-executed and internal queries, you can improve your log analysis by enhancing your logging configuration and analyzing the results meticulously. By following the steps we outlined, you can gain clearer insights into your database's activity and focus on the areas that truly require your attention. Understanding the nature of the queries running through your database is essential for efficient management and optimization. By implementing these methods, you can make your PostgreSQL logs not only comprehensive but also useful for day-to-day database operations.