MySQL Replication
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Replication allows copying data from one MySQL database server to another. It works by logging all SQL statements on the master server and playing them back on the slave server. Logical replication copies the data changes and allows asynchronous replication with potential delays. Configuring replication involves setting up a slave server to copy and replay the binary logs from the master server.
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Mysqlabhijith Mysql replication allows data to be replicated from a master database server to slave database servers. It works by having the master record all write queries to its binary log which is then used by slaves to replicate the same queries. Replication can be synchronous for high data integrity or asynchronous for higher performance. Configuring replication involves setting up a replication user on the master, enabling binary logging, taking a snapshot of data, and configuring the slaves to connect to the master and replay the binary logs.
Profiling the logwriter and database writer
Profiling the logwriter and database writerKyle Hailey The document discusses the behavior of the Oracle log writer (LGWR) process under different conditions. In idle mode, LGWR sleeps for 3 seconds at a time on a semaphore without writing to the redo log buffer. When a transaction is committed, LGWR may write the committed redo entries to disk either before or after the foreground process waits on a "log file sync" event, depending on whether LGWR has already flushed the data. The document also compares the "post-wait" and "polling" modes used for the log file sync wait.
Demystifying MySQL Replication Crash Safety
Demystifying MySQL Replication Crash SafetyJean-François Gagné Up to MySQL 5.5, replication was not crash safe: after a crash, it would fail with "duplicate key" or "row not found" error, or might generate silent data corruption. It looks like 5.6 is much better, right? The short answer is maybe: in the simplest case, it is possible to achieve replication crash safety but it is not the default setting. MySQL 5.7 is not much better, 8.0 has safer defaults but it is still easy to get things wrong.
Crash safety is impacted by replication positioning (File+Pos or GTID), type (single-threaded or MTS), MTS settings (Database or Logical Clock, and with or without slave preserve commit order), the sync-ing of relay logs, the presence of binary logs, log-slave-updates and their sync-ing. This is very complicated stuff and even the manual is confused about it.
In this talk, I will explain the impact of above and help you finding the path to crash safety nirvana. I will also give details about replication internals, so you might learn a thing or two.
Varnish presentation for the Symfony Zaragoza user group
Varnish presentation for the Symfony Zaragoza user groupJorge Nerín The document describes configuration settings for an Apache web server, PHP, MySQL, and performance testing using ApacheBench. It then evaluates adding features like query caching, persistent MySQL connections, and using Varnish as a reverse proxy cache. Test results show that each of these optimizations improves the server's request handling performance, with Varnish providing the largest gains.
Oracle Database In-Memory Option in Action
Oracle Database In-Memory Option in ActionTanel Poder The document discusses Oracle Database In-Memory option and how it improves performance of data retrieval and processing queries. It provides examples of running a simple aggregation query with and without various performance features like In-Memory, vector processing and bloom filters enabled. Enabling these features reduces query elapsed time from 17 seconds to just 3 seconds by minimizing disk I/O and leveraging CPU optimizations like SIMD vector processing.
In Memory Database In Action by Tanel Poder and Kerry Osborne
In Memory Database In Action by Tanel Poder and Kerry OsborneEnkitec The document discusses Oracle Database In-Memory option and how it improves performance of data retrieval and processing queries. It provides examples of running a simple aggregation query with and without various performance features like In-Memory, vector processing and bloom filters enabled. Enabling these features reduces query elapsed time from 17 seconds to just 3 seconds by minimizing disk I/O and leveraging CPU optimizations like SIMD vector processing.
Memcached Study
Memcached Studynam kwangjin Memcached is a high-performance, distributed memory caching system that is used to speed up dynamic web applications by caching objects in memory to reduce database load. It works by storing objects in memory to allow for fast retrieval, improving response times significantly. Major companies that use memcached include Facebook, Yahoo, Amazon, and LiveJournal. It provides features like consistent hashing for object distribution, multithreading, and replication.
NYC Java Meetup - Profiling and Performance
NYC Java Meetup - Profiling and PerformanceJason Shao A brief overview of some of the tools that ship with the Java platform that can be used to troubleshoot performance issues, and common production/performance problems
Live Query Statistics & Query Store in SQL Server 2016
Live Query Statistics & Query Store in SQL Server 2016Antonios Chatzipavlis Live Query Statistics and Query Store are new features in SQL Server 2016 that provide insights into query performance. Live Query Statistics allows users to view live execution plans and operator statistics to troubleshoot long-running or problematic queries. Query Store automatically captures query histories, plans, and runtime statistics to help users identify performance regressions and force previous high-performing plans. Both features aim to simplify performance troubleshooting and provide greater visibility into the query optimization and execution process.
Oracle SQL Tuning
Oracle SQL TuningAlex Zaballa Oracle SQL Tuning 101 provides an overview of SQL tuning concepts and tools in Oracle Database. It discusses database tuning versus SQL tuning, proactive versus reactive tuning approaches, tools for SQL tracing and monitoring like SQL Trace, ASH, Autotrace, and SQL Monitor. The document also covers topics like full table scans, adaptive optimization features, pending statistics, and restoring or exporting statistics.
Performance tuning a quick intoduction
Performance tuning a quick intoductionRiyaj Shamsudeen The document provides an introduction to performance tuning. It discusses tracing SQL execution to analyze performance issues. Tracing can be done at different levels, and the tkprof utility helps analyze trace files by providing formatted output. Understanding execution plans is also an important part of performance tuning, as it shows the steps and cost of executing a SQL statement.
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MySQL Replication
- 1. Replication-Why-How?---MySQL 4 Oracle DBAseries苏普2010-31
- 2. No redo! No undo!>UPDATE life SET happy="always" WHERE nick="supu";SQL PlanStorage Engines>OK! OR Error
- 3. How to logMySQL Logs the SQL(binary)UPDATE life SET happy="always" WHERE nick="supu";Storage Enginescan log
- 4. Whatlog look like# at 323#100308 21:09:04 server id 1 end_log_pos 486 Query thread_id=591 exec_time=0 error_code=0SET TIMESTAMP=1268053744/*!*/;update sns_users_0001 set nick=rpad('',20,md5(rand())),gmt_modified=now() where user_id = 34WhenlogAftereverySQLdone
- 5. Logic Replication is possible
- 8. FeatureLogicalThere is no guarantee about dataAsynchronousDelayStill, It works Fine
- 9. How to configPrincipleCopy all data && Mark the pos of logGoogle: MySQL ReplicaitionNoDBA[Not only dba]
- 10. Wish you a peaceful life