how to synchronize two Odoo (postgresql) databases - database

I need to syncronize two openerp physically distanced databases. One database is on local install, and the second database must on a cloud environment.
Since I lack of good internet access, I cannot have the system working full time on cloud, and the solution is to allow access to the database via cloud (A) and local install (B). When I am on the company, I use the local install (A), and when outside the company, I use the cloud Odoo system (B).
With synchronization, I want to have all data entered on the cloud A available on the local install B and vice-versa.
The synchronization should be time defined and/or on demand.
Any help?

you have to search about something called : Replication.
there are of types of replication, and what you are searching about is : Multi master replication.
it's a little bit complex processus to set up a replication between database and monitor that replication, so i will give you some useful ressources.
Replication Clustering and long pooling in PostgreSQL.
Replication in postgreSQL 9.5 [officiel documentation]

Related

AWS DMS Migration Questions

I am new to AWS DMS and trying to understand some detail however unable to find answers so any help on this is highly appreciated.
Q1 - If you have distributed database at your corporate data center ( on prem) , Do you need to create DMS for each of distributed database? if so does it sync all when it does CDC
Q2 - Can DMS replicate from the standby database?
Q1) Assuming you use a single URL to connect to the database, you should only need that single set of connection information to replicate the databases.
Q2) If you are just doing a full load and no on going replication, then yes, this is possible. If you are talking about ongoing replication, it depends on the database but it usually requires additional logging to be enabled. For example, Oracle requires the addition of supplemental logging, and MySQL requires row-level binary logging (bin logging). Many times standby databases don't have those enabled but, assuming they are enabled on your instance, it should be possible.
References:
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Task.CDC.html
Q1) Create a single DMS endpoint to the master node (or to any slave if you've not a master) of your distributed database. It's enough for your data migration
Q2) Yes for full load migration. If you need an ongoing replication you've to enable the LogMiner or Binlogs in your data source before.

Move from a local single-user database to an online multi-user database

I have a calendar-type WPF program that is used to assign the workload to a team. The events are stored in an Access database and the program is accessed by one person at a time by remotely connection to a computer. The team has grown and multiple people would need to access the program simultaneously. I can install the program on several computers, but where should I move the database? On a software like Dropbox/Onedrive, on a SQL online host? Thanks.
You can use a SQL Server on many Cloud platforms (though I am not sure Dropbox can host SQL Server natively). Azure (Microsoft cloud) is a very mature solution. You still should verify, now that multiple users will be managing data, that the database is backed up a regular basis and that any updates to data should be done within transactions that your code should be aware of. 'Aware of' means that if there is a conflict your code should either resubmit or notify the user that the insert/update/delete failed.

db replication vs mirroring

Can anyone explain the differences from a replication db vs a mirroring db server?
I have huge reports to run. I want to use a secondary database server to run my report so I can off load resources from the primary server.
Should I setup a replication server or a mirrored server and why?
For your requirements the replication is the way to go. (asumming you're talking about transactional replication) As stated before mirroring will "mirror" the whole database but you won't be able to query unless you create snapshots from it.
The good point of the replication is that you can select which objects will you use and you can also filter it, and since the DB will be open you can delete info if it's not required( just be careful as this can lead to problems maintaining the replication itself), or create specific indexes for the report which are not needed in "production". I used to maintain this kind of solutions for a long time with no issues.
(Assuming you are referring to Transactional Replication)
The biggest differences are: 1) Replication operates on an object-by-object basis whereas mirroring operates on an entire database. 2) You can't query a mirrored database directly - you have to create snapshots based on the mirrored copy.
In my opinion, mirroring is easier to maintain, but the constant creation of snapshots may prove to be a hassle.
As mentioned here
Database mirroring and database replication are two high data
availability techniques for database servers. In replication, data and
database objects are copied and distributed from one database to
another. It reduces the load from the original database server, and
all the servers on which the database was copied are as active as the
master server. On the other hand, database mirroring creates copies of
a database in two different server instances (principal and mirror).
These mirror copies work as standby copies and are not always active
like in the case of data replication.
This question can also be helpful or have a look at MS Documentation

Sociable SQL Server instance replication - Best practice

I would like to know what are best practices for using SQL Server replication on a SQL Server instance that may have other application databases that may also use replication. That is, our product needs to play well with other users of the instance.
The product currently uses SQL Server replication to create a copy database used for reporting. It is always the sole user of the SQL Server instance. But we now need to document and test (regulatory requirements) how the product can share the instance.
I'm making the assumption here that we still need replication as we do not see another way to isolate reporting load from the application's database.
Has anybody done this successfully?
If we are using instance level replication:
Is there a way we can stop/start/modify replication for our application without affecting others?
Do setting differ greatly? That is, is it realistic to share instance level replication settings across applications?
Non-instance replication just looks hard, do I have the wrong view here?
Our customers use SQL Server 2008 R2 or SQL Server 2012.
At an instance level, replication configures only one distributor. That is, regardless of how many databases you have configured for replication on an instance, they'll all share one distributor. You do have the option to make that distributor local (i.e. on the same instance) or remote. So, if you find that distribution is taking up considerable resources (or anticipate that that's going to be the case), configure remote distribution.
Whatever drive holds your databases' log files will need to have sufficient headroom in their throughput to handle the logreader agent. If you're concerned that your database's activity will be impacting to other databases, isolate.
As for other concerns, replication is a lot like your line of business application. That is, it needs to read data (from the publisher and distributor depending on which phase of replication you're talking about) and write data (from the distributor and subscriber again depending on which phase of replication you're talking about). Provision resources accordingly and you should be just fine.

Whats the best redundancy setup on AWS for SQL Server 2014

We're migrating our environment over to AWS from a colo facility. As part of that we are upgrading our 2 SQL Server 2005s to 2014s. The two are currently mirrored and we'd like to keep it that way or find other ways to make the servers redundant. # of transactions/server-use is light for our app - but it's in production, requires high availability, and, as a result, requires some kind of fail over.
We have already setup one EC2 instance and put SQL server 2014 on it (as opposed to using RDBMS for licensing reasons and are now exploring what to do next to achieve this.
What suggestions do people have to achieve the redundancy we need?
I've seen two options thus far from here and googling around. I list them below - we're very open to other options!
First, use RDBMS mirroring service, but I can't tell if that only applies if the principal server is also RDBMS - it also doesn't help with licensing.
Second, use multiple availability zones. What are the pros/cons of this versus using different regions altogether (e.g., bandwidth issues) etc? And does multi-AZ actually give redundancy (if AWS goes down in Oregon, for example, then doesn't everything go down)?
Thanks for the help!
The Multi-AZ capability of Amazon RDS (Relational Database Service) is designed to offer high-availability for a database.
From Amazon RDS Multi-AZ Deployments:
When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Each AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure (for example, instance hardware failure, storage failure, or network disruption), Amazon RDS performs an automatic failover to the standby, so that you can resume database operations as soon as the failover is complete. Since the endpoint for your DB Instance remains the same after a failover, your application can resume database operation without the need for manual administrative intervention.
Multiple Availability Zones are recommended to improve availability of systems. Each AZ is a separate physical facility such that any disaster that should befall one AZ should not impact another AZ. This is normally considered sufficient redundancy rather than having to run across multiple Regions. It also has the benefit that data can be synchronously replicated between AZs due to low-latency connections, while this might not be possible between Regions since they are located further apart.
One final benefit... The Multi-AZ capability of Amazon RDS can be activated by simply selecting "Yes" when the database is launched. Running your own database and using mirroring services requires you to do considerably more work on an on-going basis.

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