Postgres-XC tutorial PDF - PGCon

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Replicated Tables ● ● ● ● Statement level replication Each write needs to be replicated ● writes are costly Read can happen on any node (where table is replicated) ● Reads are faster, since reads from different coordinators can be routed to different nodes Useful for relatively static tables, with high read load May 16th, 2012 PostgresXC 46
Querying replicated tables ● Example: simple SELECT on replicated table CREATE TABLE tab1 (val int, val2 int) DISTRIBUTE BY REPLICATION TO NODE datanode_1, datanode_2; EXPLAIN VERBOSE SELECT * FROM tab1 WHERE val2 = 5; QUERY PLAN Result Output: val, val2 > Data Node Scan on tab1 Queries the datanode/s Output: val, val2 Node/s: datanode_1 one node out of two is chosen Remote query: SELECT val, val2 FROM ONLY tab1 WHERE (val2 = 5) May 16th, 2012 PostgresXC 47
Page 1 and 2: PGCon2012 Tutorial Configuring Writ
Page 3 and 4: Chapter A PostgresXC Introduction
Page 5 and 6: Summary (1) ● PostgreSQLbased d
Page 7 and 8: Symmetric Cluster (1) PostgreSQL re
Page 9 and 10: Read/Write Scalability DBT1 throu
Page 11 and 12: How to achieve R/W scalability Tabl
Page 13 and 14: Major Difference from PostgreSQL
Page 15 and 16: Summary ● ● Coordinator ● ●
Page 17 and 18: Difference from vanilla PostgreSQL
Page 19 and 20: How each component works Act as jus
Page 21 and 22: Chapter B Cluster design, navigatio
Page 23 and 24: General advice ● Avoid data mater
Page 25 and 26: Online transaction processing (OLTP
Page 27 and 28: B2 Code and binaries Code navigat
Page 29 and 30: Structure of code 2 ● Pooler -
Page 31 and 32: B3 Everything about configuration
Page 33 and 34: Configuration parameters ● ● Ba
Page 35 and 36: Node startup ● ● Coordinator/
Page 37 and 38: Demonstration psql client GTM Port
Page 39 and 40: CREATE TABLE extensions ● Control
Page 41 and 42: Point in time recovery PITR ●
Page 43 and 44: Chapter C Distributing data effecti
Page 45: Replicated Tables Writes Reads writ
Page 49 and 50: Replicated tables - multirow oper
Page 51 and 52: Distributed Table ● ● ● Write
Page 53 and 54: Distributed tables - multirow ope
Page 55 and 56: ● JOINs Example: Join on distribu
Page 57 and 58: ● Perfoming JOINs on datanodes Ex
Page 59 and 60: Shippability of Joins Hash/Module d
Page 61 and 62: Choosing distribution strategy (1)
Page 63 and 64: Example DBT1 (1) ● author, item
Page 65 and 66: Example DBT1 (3) ● Shopping_car
Page 67 and 68: DBT1 scaleup ● Old data, we w
Page 69 and 70: Chapter D Backup, restore, recovery
Page 71 and 72: Example configuration (2) ● GTM
Page 73 and 74: General ● Coordinator and Datanod
Page 75 and 76: Cold backup of each database cluste
Page 77 and 78: Physical backup of each database cl
Page 79 and 80: Hot backup (2) ● ● ● ● Othe
Page 81 and 82: Hot backup - coord1 example ● Con
Page 83 and 84: GTM Hot Backup - GTM Sandby ● ●
Page 85 and 86: GTMStandby backs up ● GTM stand
Page 87 and 88: Restore from pg_dump and pg_dumpall
Page 89 and 90: Restore from the cold backup (2)
Page 91 and 92: Recovery.conf settings coord1 examp
Page 93 and 94: When coordinator or datanode crashe
Page 95 and 96: If GTM crashes ● ● ● ● ●
Page 97 and 98:
Run GTM Proxies $ cat /home/koichi/
Page 99 and 100:
Additional gtm_proxy options ● Ti
Page 101 and 102:
Running GTMStandby ● Run GTM as
Page 103 and 104:
HA General ● ● ● ● Postg
Page 105 and 106:
Coordinator/datanode configuration
Page 107 and 108:
Cleaningup outstanding 2PC ●
Page 109 and 110:
Sites to know ● ● ● Main mana
Page 111 and 112:
Documentation ● ● Published in
Page 113 and 114:
Release policy and code merge May 1
Page 115 and 116:
What next? ● First major release,
Page 117:
Thank You Very Much! May 16th, 2012
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