create user ‘root’@'%' identified by ‘password’;  grant ALL PRIVILEGES on *.* to ‘root’@'%' with grant option; flush privileges; if error have root@localhost delete from mysql.user where user=‘root’; flush privileges; create user ‘root’@'%' identified by ‘password’; grant ALL PRIVILEGES on *.* to ‘root’@'%' with grant option; select user, host from user; show grants for ‘root’@'%'; FLUSH PRIVILEGES; =====restore root privileges===== http://stackoverflow.com/questions/1709078/how-can-i-restore-the-mysql-root-user-s-full-privileges

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mariadb tunning

character-set-server = utf8mb4 #tunning skip_name_resolve = 1 open_files_limit = 65535 max_connect_errors = 1000000 table_open_cache = 1024 table_definition_cache = 1024 #table_open_cache_instances = 64 #MySQL 5.6 sort_buffer_size = 4M join_buffer_size = 4M interactive_timeout = 600 wait_timeout = 600 tmp_table_size = 32M max_heap_table_size = 32M #master_info_repository = TABLE #MySQL 5.6 #relay_log_info_repository = TABLE #MySQL 5.6 #gtid_mode = on #enforce_gtid_consistency = 1 read_buffer_size = 8M read_rnd_buffer_size = 4M bulk_insert_buffer_size = 64M lock_wait_timeout = 3600

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docker Kubernetes

http://www.uuread.cc/cfaqxcQc.html Kubernetes具備超強的故障恢復機制,Kubernetes會重啟意外停止的pod。我們曾遇到過因記憶體洩露,導致容器在一天內宕機多次的情況,然而令人驚訝的是,甚至我們自己都沒有察覺到。 資料儲存 以我們的情況,在Kubernetes內執行資料儲存沒有想象中那麼完美,設定起來也比其他Kubernetes部署複雜得多。 於是我們決定不在生產環境資料儲存上使用Kubernetes,而是選擇在不同的機器上手動啟動這些叢集,我們在Kubernetes內部執行的應用正常連線到資料儲存叢集

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http://tech.noredink.com/post/133347435578/optimizing-mysql-for-high-concurrency-on-amazon Looking for concurrency bottlenecks performance schema List the total maximum wait by event inside of InnoDB SELECT EVENT_NAME, SUM_TIMER_WAIT/1000000000 WAIT_MS, COUNT_STAR FROM performance_schema.events_waits_summary_global_by_event_name ORDER BY SUM_TIMER_WAIT DESC, COUNT_STAR DESC LIMIT 30; List current and last wait events on InnoDB. -- “what the current, or last completed, wait for each session was, and for exactly how long they waited” SELECT NAME, IF(PPS.

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