PostgreSQL Hangout Replication Features v9.4

Sep 18, 2014Download as PPTX, PDF2 likes1,246 views

See the new enhancements in v9.4 which takes away the pain of guessing right wal_keep_segment See the new time lagging replication capability in v9.4 Short intro to logical replication introduced in v9.4

Promising New
Replication Features in
PostgreSQL v9.4

A quick recap!
Earlier we saw:
- What is Streaming Replication
- How to setup of Streaming Replication in v9.3
- How v9.3 enhancements made switchover and
switchback easier
- How v9.3 enhancements ease the setup of
Replication using pg_basebackup

What are we going to do today
- See the new enhancements in v9.4 which takes
away the pain of guessing right
wal_keep_segment
- See the new time lagging replication capability
in v9.4
- Short intro to logical replication introduced in
v9.4

Parameter Changes in v9.4
- New recovery.conf parameters:
- primary_slot_name
- recovery_min_apply_delay
- New parameter postgresql.conf
- max_replication_slot
- New parameter values for postgresql.conf
- wal_level can have a value logical

How DBAs do it today
- Guess a proper value for wal_keep_segment
based on transaction volume
- Keep monitoring the transaction rate
- Increase the wal_keep_segment proactively

What if you ‘guessed’ a wrong value
- A smaller value means replication may go out of sync
- Need to rebuild the secondary node from a base backup of
Primary node
- Setup the replication again
- Guess the ‘wal_keep_segment’ value again
- A larger value means you might be wasting storage space
- Rebuild replication if secondary server goes down
- Archived WALs to avoid these issues = more storage

How is that going to change
- Create a replication slot on primary server
- Add it in recovery.conf on secondary server
- Primary server will keep WAL files unless the
server using the replication slot has got them
- No guess work!
- If secondary server goes down pending WALs
are still kept with Primary Server

Caveats
- If the secondary server goes down for a
long time
- WAL files will continue to accumulate on
primary server
- Replication slot needs to be dropped
manually in such cases

Why would you need it?
- Ever tried Point-in-Time recovery?
- Stop the Production Database
- Restore from a backup
- Reapply the transaction log/archive WAL since the backup
- Stop at the time just before the application issue/bug
introduced data inconsistency/corruption
- What if the Backup size is huge?
- What if there are too many archived WAL to be applied
- Higher Recovery Time = Higher Down Time = Loss of
business

Setup a time-lagging DR
- Setup a time-lagging DR in PostgreSQL v9.4 with acceptable
amount of time-lag. Let’s say 2 hours
- If there is a need for Point-in-Time recovery
- Stop Primary server
- Apply only pending WALs (not since last backup but only
2hours)
- Stop recovery before the point of corruption
- Promote secondary server to be primary
- Change connection conf
- Less time taken to bring up the Server = Reduced the Loss of
Business

Backdated Reporting and Time-travel Queries
- Do correlation/comparative queries to check
profit margin as compared to yesterday
- Pull data from Primary Server and Secondary
Server lagging by a day
- Pull reports from yesterday’s database
- Pause recovery on secondary and pull reports
- Reduces the downtime needed for Primary DB
for end of day reporting

Demo
- Primary Server running on port 5532 on localhost
- Secondary Server running on port 6532 on localhost
- postgresql.conf On primary
- max_replication_slot = 2
- max_wal_senders = 2
- wal_level = hot_standby
- archive_mode=off #no archive setup
- Create a replication slot on primary
- select * from create_physical_replication_slot('testingv94');

Demo
- recovery.conf on Secondary Server
- standby_mode = on
- primary_conninfo = 'host=127.0.0.1 port=5532
user=postgres'
- primary_slot_name = 'testingv94'
- recovery_min_apply_delay = 1min
- postgresql.conf on secondary
- hot_standby_mode = on

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This document provides an overview of Redis Enterprise. It discusses how Redis Enterprise is an in-memory multi-model database built on open source Redis that supports high-performance operational, analytics, and hybrid use cases. It offers deployment options including cloud, on-premises, and Kubernetes and supports a wide range of modern use cases including caching, transactions, streaming, messaging, and analytics workloads. Redis Enterprise provides features like high availability, security, and support for Redis modules to extend its capabilities.

Enhance your multi-cloud application performance using Redis Enterprise P1Ashnikbiz

Redis Enterprise can help enhance performance for multi-cloud applications. The webinar covered challenges of multi-cloud environments and how Redis is used, including a demo of setting up Redis across different platforms. It discussed how 72% of customers in Southeast Asia and India are adopting multi-cloud and the business benefits like improved experience, flexibility and reduced time to launch products. Challenges of multi-cloud like complex architecture and application performance were also reviewed.

Gain multi-cloud versatility with software load balancing designed for cloud-...Ashnikbiz

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