Analyzing MySQL Logs with ClickHouseBonus: Using PMM for ClickHouse Monitoring • docker run -d -p 9116:9116 f1yegor/clickhouse-exporter -scrape_uri=http://myhost:8123/ • pmm-admin config –server pmm.your-domain.com • pmm-admin add linux:metrics linux:metrics • pmm-admin add external:service clickhouse --interval 10s --service-port=9116 © 2018 Percona. 40 Use Advanced Data Exploration Dashboard © 2018 Percona. 41 Import Grafana Dashboard0 码力 | 43 页 | 2.70 MB | 1 年前3
Using MySQL for Distributed Database ArchitecturesBuilt-in Failover © 2018 Percona. 37 Advanced MySQL Replication Topologies © 2018 Percona. 38 PMM Dashboard for Replication © 2018 Percona. 39 MySQL Group Replication © 2018 Percona. 40 MySQL 7 Performance Improvements http://bit.ly/2qGCr0T and http://bit.ly/2pzvAIW © 2018 Percona. 46 PMM Dashboard for PXC © 2018 Percona. 47 MySQL Cluster Mostly In Memory Storage Synchronous Replication PXC node 1 PXC node 2 PXC node 3 5 7 ProxySQL ProxySQL ProxySQL © 2018 Percona. 58 ProxySQL at PMM © 2018 Percona. 59 Cloud Only Options •Amazon RDS •Amazon Aurora •Google Cloud SQL •Azure Database0 码力 | 67 页 | 4.10 MB | 1 年前3- Code Analysis++About me – ● Anastasia Kazakova, @anastasiak2512 ● C++ Dev: Embedded, Networking ● C++ Tools PMM and .NET Tools Marketing Lead, JetBrains ● St. Petersburg C++ UG: https://www.meetup.com/St-Petersburg-CPP-User-0 码力 | 61 页 | 2.70 MB | 5 月前3
Jupyter Notebook 6.2.0 Documentation2kP4R XicMo62N6+dyeaK28TKfzVcm/g3BtWxiZR+avnc/nCvHYZT1 qbVrdoz+IVmikVx1Hw+WkwkDyeUUF6gw2AjzxlvGge6pMM h22GVj0sd9d8Sr/h4NZ624D6/B3S7lgctfb1219Na/AzMQAOJq 0ZMzfh3VsEQr+Gs0js7dJPhX5J7ebXMb2VdcNMR1Ia2oZB2r0 码力 | 283 页 | 4.07 MB | 1 年前3- Jupyter Notebook 6.4.4 Documentation2kP4R XicMo62N6+dyeaK28TKfzVcm/g3BtWxiZR+avnc/nCvHYZT1 qbVrdoz+IVmikVx1Hw+WkwkDyeUUF6gw2AjzxlvGge6pMM h22GVj0sd9d8Sr/h4NZ624D6/B3S7lgctfb1219Na/AzMQAOJq 0ZMzfh3VsEQr+Gs0js7dJPhX5J7ebXMb2VdcNMR1Ia2oZB2r0 码力 | 293 页 | 4.08 MB | 1 年前3
- The Vitess 8.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 331 页 | 1.35 MB | 1 年前3
- The Vitess 9.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 417 页 | 2.96 MB | 1 年前3
- The Vitess 11.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 481 页 | 3.14 MB | 1 年前3
- The Vitess 10.0 Documentation
To obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 455 页 | 3.07 MB | 1 年前3
- The Vitess 12.0 DocumentationTo obtain normalized queries you can use common MySQL monitoring tools like VividCortex, Monyog or PMM. It is also possible to use the MySQL general query log feature to capture raw queries and then normalize0 码力 | 534 页 | 3.32 MB | 1 年前3
共 11 条
- 1
- 2