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Postgres Conference
HangZhou, China
Postgres-XC/XL
Scale-out Approach in PostgreSQL
July 25th, 2015
NTT DATA INTELLILINK Corporation
Koichi Suzuki
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Introduction
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About the Speaker
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Fellow at NTT DATA Intellilink Corporation
Principal, Technology Professionals at NTT DATA Group
In Charge Of
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General Database Technology
Database in huge data warehouse and its design
PostgreSQL and its cluster technology
In The Past
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Character Set Standard (Extended Unix Code, Unicode, etc)
Heisei-font development (Technical Committee)
Oracle Porting
Object-Relational Database
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Motivation
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Growing Database Workload both in OLTP (OnLine Transaction Processing)
and OLAP (OnLine Analytical Processing) applications.
Shared-Nothing Approach
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Performance with commodity hardware/software
Extension to existing PostgreSQL
Transparent API
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Internal API could be different
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Transparent libpq Interface
No significant restriction to transaction ACID properties and SQL
language.
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Scale-out approach
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Distribution/Replication of table rows among different database “nodes”
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Parallelism
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Local join operation
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SQL planning for row distribution/replication
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Consistent and synchronous transaction management among “nodes”
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Performance with commodity hardware/software
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Read Scale-out in PostgreSQL Master/Slave
Read/Write
Transactions
Possible time delay
Read-only Transactions
Master
Slave
WAL (or Redo Log)
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Scaling Out in Postgres XL/XC
Read/Write Transactions
No Delay in Update Visibility
Local
Disk
Local
Disk
Local
Disk
Local
Disk
Backend Transaction Synchronization
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OLTP Workload Scalability and Table Design
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DBT-1 Workload Scalability
DBT-1 (Rev)
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Table Design in DBT-1 Benchmark
CUSTOMER
ORDERS
ORDER_LINE
ITEM
SHOPPING_CART
C_ID
C_UNAME
C_PASSWD
C_FNAME
C_LNAME
C_ADDR_ID
C_PHONE
C_EMAIL
C_SINCE
C_LAST_VISIT
C_LOGIN
C_EXPIRATION
C_DISCOUNT
C_BALANCE
C_YTD_PMT
C_BIRTHDATE
C_DATA
O_ID
O_C_ID
O_DATE
O_SUB_TOTAL
O_TAX
O_TOTAL
O_SHIP_TYPE
O_BILL_ADDR_ID
O_SHIP_ADDR_ID
O_STATUS
OL_ID
OL_O_ID
OL_I_ID
OL_QTY
OL_DISCOUNT
OL_COMMENTS
OL_C_ID
I_ID
I_TITLE
I_A_ID
I_PUB_DATE
I_PUBLISHER
I_SUBJECT
I_DESC
I_RELATED1
I_RELATED2
I_RELATED3
I_RELATED4
I_RELATED5
I_THUMBNAIL
I_IMAGE
I_SRP
I_COST
I_AVAIL
I_ISBN
I_PAGE
I_BACKING
I_DIMENASIONS
SC_ID
SC_C_ID
SC_DATE
SC_SUB_TOTAL
SC_TAX
SC_SHIPPING_COST
SC_TOTAL
SC_C_FNAME
SC_C_LNAME
SC_C>DISCOUNT
CC_XACTS
CX_I_ID
CX_TYPE
CX_NUM
CX_NAME
CX_EXPIRY
CX_AUTH_ID
CX_XACT_AMT
CX_XACT_DATE
CX_CO_ID
CX_C_ID
Distributed with
Customer ID
Distributed with
Shopping Cart ID
SHOPPING_CART_LINE
ADDRESS
SCL_SC_ID
SCL_I_ID
SCL_QTY
SCL_COST
SCL_SRP
SCL_TITLE
SCL_BACKING
SCL_C_ID
STOCK
ADDR_ID
ADDR_STREET1
ADDR_STREET2
ADDR_CITY
ADDR_STATE
ADDR_ZIP
ADDR_CO_ID
ADDR_C_ID
ST_I_ID
ST_STOCK
Replicated
COUNTRY
AUTHOR
CO_ID
CO_NAME
CO_EXCHANGE
CO_CURRENCY
OL_ID
OL_O_ID
OL_I_ID
OL_QTY
OL_DISCOUNT
OL_COMMENTS
OL_C_ID
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Distributed with
ItemID
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MPP Performance – DBT-3 (TPC-H)
By courtesy of Mason Sharp, Postgres-XL leader
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Scale Out Approach (1): Table Distribution/Replication
Categorize tables into two groups:
Large and frequently-updated tables
→ Distribute rows among nodes (Distributed Tables)
→ Based on a column value (distribution key)
→ Hash, modulo or round-robin
→ Parallelism among transactions (OLTP) or in SQL processing (OLAP)
Smaller and stable tables
→ Replicate among nodes (Replicated Tables)
→ Join Pushdown
Avoid joins between Distributed Tables with join keys different from distribution
key as possible.
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Scale Out Table Design in DBT-1
Three distribution keys:
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Customer ID
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Shopping Cart ID
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Item ID
Some transactions involve joins across distributed tables with non-distribution
join keys.
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Some More in XL/XC Node Configuration
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Node Configuration: Two-Tier Approach
Coordinator:
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Maintains global catalog information
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Build global SQL plan and SQL statements for datanodes
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Interact with datanode to execute local SQL statements and accumulate
the result
Datanode
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Maintains actual data (local data)
Run local SQL statement from Coordinator
(In XL, datanode may ask other datanodes for their local data)
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Coordinator and Datanode
Read/Write Transactions
Coordinator
Datanode
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Node Configuration: Yet Another Node: GTM
GTM: Global Transaction Manager
Synchronizes each node's transaction status
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Why GTM? Two-Phase Commit Protocol doesn't work?
Two-Phase Commit Protocol Does:
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Maintain database consistency in transactions updating more than one
node.
Two-Phase Commit Protocol Doesn't:
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Maintain Atomic Visibility of Updates to other transactions (next slide)
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Atomic Visibility and GTM
Node B
Node A
TXN 1
Updates A
and B
Inconsistent
Read!
Prepares A
and B
TXN 2
Reads B and
gets old value
Commits A
and B
Reads A and
gets new value
GTM monitors TXN
activity and make
new value available
at this timing.
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Final Configuration: GTM, Coordinator and Datanode
Read/Write Transactions
Coordinator
GTM
Datanode
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Configuration in Practice
Just like configuring many database servers to talk each other
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Many pitfalls
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Pgxc_ctl provides simpler way to configure the whole cluster
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Provide only needed parameters
Pgxc_ctl will do the rest to issue needed commands and SQL
statements.
Visit
http://sourceforge.net/p/postgres-xc/xc-wiki/PGOpen2013_Postgres_Open_2013/
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Scalability in OLTP Workloads
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OLTP Workload Characteristics
Number of Transactions: Many
Number of Involved Table Rows: Small
Locality of Row Allocation: High
Update Frequency: High
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Scaling Out OLTP Workload
Read/Write Transactions
Run Transactions in Parallel
Coordinator
GTM
High workload
Datanode
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Scalability in OLAP (Analytic) Workloads
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OLAP Workload Characteristics
Number of Transactions: Small
Number of Involved Table Rows: Huge
Locality of Row Allocation: Low
Update Frequency: Low
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Scaling Out OLAP Workload
SQL
Coordinator
Top level
aggregation
May need less
coordinators
GTM
Low workload
Datanode
Run Small Local SQLs for each
Datanode in Parallel
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Join Offloading
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Join Offloading: When row allocation is available
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Replicated Table and Partitioned Table
– Can determine which datanode to go from WHERE clause
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Join Offloading: When row allocation is available
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Replicated Table and Partitioned Table
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When the coordinator cannot determine which datanode to go from WHERE clause
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Parallel Aggregation
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Aggregate Functions in PostgreSQL
Finalize Function
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State Transition
Function
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Aggregate Functions in Postgres-XC/XL
Finalize Function
AVG ← (Sum, Count)
(Sum, Count)
Collector Function
State Transition
State Transition
State Transition
Function
Function
Function
Datanode
Coordinator
Similar to Map Reduce!
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Specific statements
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CREATE BARRIER
– Synchronize all node's WAL for restoration.
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CREATE|ALTER|DROP NODE
– Maintenance of cluster node
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Caution! – not automatically propagated. Issue to each coordinator.
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CREATE/DROP NODE GROUP
– Alias for group of node
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EXECUTE DIRECT
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Run SQL locally
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Read operation only
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If you are superuser, turn xc_maitenance_mode to on by set
statement to allow write operations.
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You must be responsible to any inconsistencies and side effects!
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Specific catalogs
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pgxc_class
– Definition of table distribution
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pgxc_node
– Postgres-XC node information
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pgxc_group
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Node group
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Specific functions
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pgxc_version()
– Show version
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pgxc_pool_check()
– Check if connection pooler is consistent with pgxc_node catalog.
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pgxc_pool_reload
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Reload cached connection data and synchronize pooler connection
information with pgxc_node.
pgxc_lock_for_backup
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Only for adding new nodes.
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Locks DDL execution to make catalog stable for backup and copy to new
node.
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Specific statements, catalogues, functions and
parameters
http://postgres-x2.github.io/reference/1.2/html/sql-commands.html
for details
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Specific parameters (planner parameters not included)
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gtm_backup_barrier (bool)
– Enable CREATE BARRIER statement.
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persistent_datanode_connections (bool)
– If “true”, session never releases connections.
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xc_maintenance_mode
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Enable write operation in “EXECUTE DIRECT” statement.
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Only allowed to root users.
min_pool_size
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max_pool_size
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Max pooled connection size.
pooler_port
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Threashold for pooler to create new connection.
Port number for the pooler (pgxc_ctl takes care of it)
gtm_port
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GTM port number (pgxc_ctl takes care of it)
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Specific parameters (cont.)
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max_datanodes
max_coordinators
pgxcnode_cancel_delay
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Timeout to wait cancel operation in millisconds.
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Mainly for automatic test.
gtm_host
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GTM host name/IP address. Pgxc_ctl takes care of this.
pgxc_node_name
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Node name of the self. Pgxc_ctl takes care of this.
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Community status and future
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Specific statements
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CREATE/DROP NODE GROUP
– Alias for group of node
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Unified again?
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XC and XL community
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Postgres-XC is the original community
– Based upon PostgreSQL 9.3
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Tested more for OLPT workload
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Now community activity as Postgres-X2
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Stabilization
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Participated by many Chinese engineers
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Next minor release are planned in this August
Postgres-XL was became separate community for more product-oriented and better
stability
– Based upon PostgreSQL 9.2
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Shares most of XC code base
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Tested more for OLAP workload
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Direct data capture between datanodes
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Provide many fixes. Most of them apply to XL as well
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Just finished merge with Postgres 9.5 alfa
Unified again?
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Product status
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Source code inherits all the PostgreSQL repository (at some point)
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Fundamental features are all available
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Global transaction management
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SQL statements
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Utilities
Further challenges
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Subtransaction (needed for full function support)
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Catching up PostgreSQL (needed?)
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XC and XL community
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Both communities need much more resource to move forward
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Developer
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Tester
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Real workload
Now several Chinese farms are working together.
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Much more active members are welcome!
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XC and XL community
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Both communities need much more resource to move forward
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Developer
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Tester
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Real workload
Now several Chinese farms are working together.
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Much more active members are welcome!
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XC and XL community sites
Postgres-XC
https://github.com/postgres-x2
https://postgres-x2.github.io
https://groups.google.com/forum/#!forum/postgres-x2-dev
https://groups.google.com/forum/#!forum/postgres-x2-general
[email protected]
[email protected]
Postgres-XL
http://www.postgres-xl.org/
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Configuring Postgres-XC
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Pgxc_ctl
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Postgres-XC contrib module
Postgers-XC configuration and operation tool
– A kind of Postres-XC shell
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Builtin commands
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Can invoke any bash commands
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Does not expand $(variable).
Simple configuration
Avoid many pitfalls in manual configuration and operation
Bash-based configuration file
You can write your favorite bash-script for your configuration
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Pgxc_ctl builtin commands (major ones)
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prepare
– Creates configuration file template
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deploy
– Deploys postgres-xc binaries to necessary nodes
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Init [all]
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Initialize postgres-xc cluster
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Run initdb and initgtm at necessary nodes
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Do additional configuration
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Initialize node configuration
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Start/stop
– Cluster and node start/stop
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Clean
– Cleanup existing resource
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Monitor
– See what node is running
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Pgxc_ctl builtin commands (major ones)
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Createdb
– Similar to createdb but select one coordinator to do it.
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Psql
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Add
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Similar to psql but select one coordinator or specify coordinator
name to connect to.
Add gtm_proxy, coordinator and datanode (master and slave)
Remove
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Remove gtm_proxy, coordinator and datanode (master and
slave)
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Demonstration
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