HCP request analytics (1.5.5)

Tip

Make sure to use version 1.4.0 or better for HCP 8.x logs!

hcprequestanalytics reads HTTP access logs from log packages created by Hitachi Content Platform (HCP), loads the content into a SQL database and runs SQL-queries against it to provide information about topics like:

• types of requests
• types of requests to specific HCP nodes
• types of reuests from specific clients
• HTTP return codes
• size distribution of requested objects
• HCP internal latency distribution
• clients

It can be easily extended with individual queries (see Queries).

Results are generated as a multi-sheet XLSX workbook per default; optionally, CSV files can be requested.

• Installation
  • Pre-built Executable
  • Self-built Executable
  • Python virtual environment
• Command Syntax
  • load
  • showqueries
  • analyze
  • dumpqueries
• Usage
  • Pre-requisites
  • Running hcprequestanalytics
• Queries
  • Built-in queries
  • Adding individual queries
  • Columns in the logrecs table
  • Private SQL functions that can be used in queries
• Result Interpretation
  • Load distribution
  • Who’s generating load
  • Request size
  • Latency
  • Throughput
  • Interpretation of percentiles
• Good to know
  • Database size
  • Compute
  • Disk
  • Memory
  • Conclusion
• Get info
  • Queries running
  • Disk space used for tmp indexes
• Release History
• License / Trademarks
  • The MIT License (MIT)
  • Trademarks and Copyrights of used material