1. Introduction to ToolsPt-query-digest is a tool for analyzing slow queries for MySQL, which analyzes Binlog, general log, Slowlog, It can also be analyzed using showprocesslist or MySQL protocol data crawled by tcpdump. The analysis results can be
This is because the set of data is a cross-year, in the foreground "machine log" in the other than this year to find other logs, think it is a bug, in fact, the data is real database, the solution:SELECT * from T_log (query out log)Delete from T_log
Use mysqldumpslow and mysqlsla to analyze mysql slow query log mysqldump
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Use mysqldumpslow and mysqlsla to analyze mysql slow query logsMySQL optimization is not a permanent task, but a constant battle. Among them, the analysis of slow
Recently made a module, real-time query log system.
The idea is: 1: When loading Web pages, read x records from the database, displayed in the page. 2: Set refresh time, dynamically read records from the database, in the client
Local refresh.
-- ===========================--MongoDB Slow query log-- ===========================
reference:http://docs.mongodb.org/manual/tutorial/manage-the-database-profiler/
Profiling levels:1 Resume0-the Profiler is off, does does not collect any
MySQL provides a full set of logging configuration items, except that many are closed by default, wondering why MySQL does not have query monitoring like SQL Server. After the search data, found that MySQL can also implement the logging query SQL.
Problem Description:Download binlog logMysqlbinlog mysq-bin.000285 error when viewing Binlog logError:error in Log_event::read_log_event (): ' Sanity check failed ', data_len:73, event_type:30Error:could not read entry at offset 240:error in log
--Set the log file locationSet global slow_query_log_file =/sql_log/slow_log.log;--Set whether to enable logging without using an indexed SQLSet global log_queries_not_using_indexes = on;--Set the SQL that records execution time beyond the set value
Use of Mysqldumpslow:For example, we want to query the first 5 log messages by time, in the following format:Mysqldumpslow-s t-t 5/var/log/mysql/slowquery_20180303.logParameter description:-S: Sort by lock time L, number of records returned R, query
Mysqlsla is a MySQL log analysis tool launched by hackmysql.com, which is very powerful. Data reports are very useful for analyzing the causes of slow queries, including frequency of execution, amount of data, query consumption, etc.First, use
1.MongoDB starts from a configuration fileCreate configuration file:/usr/local/mongodb/etc/mongodb.confThe contents of the configuration file are:#Directory and relavent setdbpath =/var/mongodb/datalogpath =/var/mongodb/logs/log.logprofile=2slowms=10
Configure mariadb slow query log Be sure to configure the full path (including file name) Otherwise you cannot restart mariadb (/usr/local/mysql/data/slow.log) The file path for the configuration mariadb Log audit can be without a filename, but
Recently in the use of Elkstack to the System log analysis, on the internet also saw the use of logstash cases, but found that can not be resolved properly, and then re-take the time to do regular calculations, the main code is as
This article "My MySQL Learning experience (15)" will explain the MySQL logThe logs in MySQL are divided into 4 categories, and using these log files, you can see what's happening inside MySQL.respectively is1, error log: Log the MySQL service start,
OPEN INFOREB SEARCH QUERY logsmation EXTRACTION fromWEBSEARCH QUERY LOGSChapter I.IntroductionSearch engines are increasingly more advanced than traditional keyword input and document output, and by focusing on user-oriented tasks to improve user
Log operation is one of the most important means of database maintenance, log files will record the various information of MySQL server, so when the MySQL server was accidentally damaged, not only can the log file to see the cause of the error, but
Turn from:MySQL Slow log query full parse: From parameters, configuration to analysis tools-mysql-dbaplus community-around the database, big data, PAAs Cloud, the most focused on the "data" of the learning communication and professional
Learning Goals
MySQL Log
Binary log
Error log
Querying common logs
Slow query log
MySQL LogThe MySQL logs are divided into four categories, described below:
Error log: Logs the problem that occurs when the
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