Course Share: https://pan.baidu.com/s/1PcbHmi5z74ix8WqE7Nde1w extraction code: 4iqt
This course uses the latest stable version of Postgres-XL v9.5, today's applications is the most extensive coverage of the MPP solutions.
Postgres-XL is open source postgresql clusters with a plurality of independent instances PostgreSQL, which are distributed on different physical (or virtual) host work, the effect is presented to the user of a database instance.
Once-popular solutions Greenplum MPP is based on version 8.2 of the package postgres-xl, we have stopped updating, gradually replaced by a new version of Postgres-XL
MPP (Massively Parallel Processing), that is, massively parallel processing, distributed, parallel, structured database cluster, relative to the PB-class solutions Hadoop, MPP is the preferred solution for large TB-level data.
Course Catalog:
Class 1: Postgres-XL cluster architecture principles, components introduction
class 2: Postgres-XL cluster environment ready _ turn
class 3: Postgres-XL cluster build and test
class 4: Postgres-XL Cluster Setup and Testing - Continued
lesson 5: REPLICATION table and DISTRIBUTE table characteristics and application scenarios, Coordinator effect
hours 6: psql common command, the Schema concept of
class 7: Database, Tablespace creation and use of
class 8: use pgbench cluster performance pressure test
class 9: Postgres-XL cluster dynamic expansion, adding node Datanode
hours 10: Postgres-XL cluster maintenance decommissioning node
class 11: Postgres-XL cluster dynamic expansion, adding Coordinator and GTM_Proxy
class 12: performance optimization of a cluster parameter tuning
hours 13: Postgres-XL performance optimization Second, the combination the use of the index, follow up the implementation plan
lesson 14: Postgres-XL performance optimization three, Join optimization ideas between large table
class 15: Postgres-XL performance optimization Fourth, the flexible use Inherits properties