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This article introduces MySQL performance tuning utilities—including mysqltuner.pl, tuning-primer.sh, pt-variable-advisor, and pt-query-digest—provides download and usage commands with report‑analysis guidance, and then shifts to promotional content for ChatGPT‑4.0 services, a paid community, and related offers.
This article presents a detailed investigation of a MySQL master‑slave instance suffering from nightly SLA alerts due to slow‑query latency, analyzes the root causes with pt‑query‑digest and execution plans, proposes index redesign, demonstrates backup and restore with mydumper, compares online DDL and pt‑osc, and finally shows batch‑delete techniques to reduce load on large tables.
This article introduces four open‑source MySQL performance‑tuning utilities—mysqltuner.pl, tuning-primer.sh, pt-variable-advisor, and pt-query-digest—explains how to download, install, run them, and interpret their reports to identify configuration issues and slow‑query problems.
This article introduces several MySQL performance‑diagnostic utilities—including mysqltuner.pl, tuning‑primer.sh, pt‑variable‑advisor, and pt‑query‑digest—explains how to download and run them, and shows how to interpret their reports for optimizing database configuration and query performance.
This article introduces several MySQL performance‑tuning utilities—including mysqltuner.pl, tuning‑primer.sh, pt‑variable‑advisor, and pt‑query‑digest—explains how to download, install, and run them, and shows how to interpret their diagnostic reports to identify configuration issues and optimize database performance.
This article introduces pt-query-digest from Percona Toolkit, explains how to install the toolkit, configure MySQL slow‑query logging, run pt-query-digest on the slow log, interpret its detailed output, and locate specific SQL statements for performance tuning.
This guide shows how to generate hourly slow‑query reports from MySQL slow‑log files by using pt‑query‑digest’s timeline feature, filtering with sed, importing the data into SQLite with termsql, and then querying the results to identify hotspot periods and recurring patterns.
This tutorial demonstrates how to enable, configure, and analyze DBLE’s slow query log—compatible with MySQL’s mysqldumpslow and Percona’s pt‑query‑digest—by generating sample queries, examining log rotation, and using the tools to inspect performance details, while also providing community resources and course information.
The article describes the architecture, core functions, and workflow of a MySQL slow‑query analysis system built for the CloudDB platform, covering both daily report generation and real‑time slow‑SQL monitoring using tools such as pt‑query‑digest, ELK, and Kafka.