Remember the golden rules:
Before we dive into advanced features, let’s set up xdumpgo . The package is part of the github.com/Kretech/xgo module, specifically the dump sub-package.
Use pprof to find where in the code memory is allocated, and xdumpgo to understand why it wasn't freed.
xdumpgo dump --pid 1337 --frozen-vm --freeze-timeout 500ms xdumpgo tutorial extra quality
By default, the tool attempts to use all available CPU cores. When running extractions on production servers, throttle the worker pools to maintain system stability:
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package main
: Use SQL queries to limit rows (e.g., just the last 100 employees).
Or use partial dumps for large tables where you only need a subset:
# Python xdump example backend.dump('/path/to/dump.zip', compression=zipfile.ZIP_STORED, # No compression, extra quality verbosity=2) # Full logging Remember the golden rules: Before we dive into
This guide provides a comprehensive "extra quality" tutorial on using XDumpGO, covering setup, configuration, advanced features, and best practices. What is XDumpGO?
If you use this utility inside a high-throughput network proxy or log pipeline, performance matters. Standard string concatenation or repeated fmt.Fprintf calls within nested loops create significant memory allocation bottlenecks. To optimize your engine for maximum performance:
Focus only on the tables and fields defined in the audit plan. If you share with third parties, their policies apply
If you're using the Go xgo/dump package for debugging, extra quality means more readable, better formatted variable output.
To help customize this deployment for your environment, please let me know: