Consider the below diagram in MongoDB
I have two scenarios
Scenario 1 :-
Router directs the write call to master.Its writen to master but then it goes down before it gets replicted to slaves(i am using
synch replication mode)
Will router select one slave as master and also write the above request to both slaves ?
Scenario 2 :-
Router directs the write call to master. Its writen to master but then network link b/w it and one slave is broken(using
synch replication mode)
Will router select another slave(which is connected to all other nodes) as master and also write the above request to slave ?
Let's first use MongoDB terminologies: Primary instead of master and Secondary instead of slave.
Scenario 1: Will router select one slave as master and also write the above request to both slaves ?
A secondary can become a primary. If the current primary becomes unavailable, the replica set holds an election to choose which of the secondaries becomes the new primary. See also Replica Set Elections.
In scenario 1, if the primary had accepted write operations that the secondaries had not successfully replicated before the primary stepped down, then a rollback will revert the write operations on a former primary when the node rejoins the replica set. See also RollBacks During Replica Set Failover.
You can run all voting members with journaling enabled and use writeConcern majority to prevent rollbacks. See also Avoid Replica Set Rollbacks.
Scenario 2: Will router select another slave(which is connected to all other nodes) as master and also write the above request to slave ?
There are two parts here, the first part is replica set election. In this case because the primary and one of the secondaries are still majority, no election will be held. The primary will still be primary and replicating to one of the secondaries.
The second part is about replication of data. Secondary members copy oplog from their sync source and apply these operations in an asynchronous process. A secondary sync source may automatically change as needed based on changes in the ping time and state of other members’ replication. See also Replica Set Data Synchronization
In scenario 2, the secondary may change its sync source to the other secondary.
You may also found the following useful:
Replica Set High Availability
Replica Set Deployment Architectures
Replica Set Distributed Across Two or More Data Centers
Related
Mongodb docs state
Do not run an arbiter on systems that also host the primary or the secondary members of the replica set.
However I could not find any explanation for this. Is it for preventing the arbiter go down together with a secondary or primary when a failure occurs ?
Technical it is possible to run a setup like this, but you lost redundancy.
Let's say you have a server with AB and C where B is an arbiter running on the same server as A. If this server goes down, you've lost your majority and B can't elect a new primary. So if the wrong server goes down you have no redundancy.
Fortunately arbiters don't save any data, so a small and cheap server instance is enough to run them.
Aerospike supports ACID in clustered environment with replication factor greater than 1, where any write will be written to Master and Replica and then only it will be marked as success to the client.
But, we can change the above mentioned default behaviour by changing the write.commit_level from all to master.
In such case, suppose the write/update is successful at Master node and client is notified, but the write fails at Replica node, What would happen?
Will the Aerospike have inconsistent data for same key in the cluster?
Or will it be retried at Replica?
Or will the write on the Master be rolled back?
Note the Replica node is not down, just the write failed due to any reason like stop writes pct is breached at Replica node, etc.
if you choose write.commit_level=master, and if the prole write fails the client will not be notified about the failure. The replica will stay inconsistent with the master. The master write will not be rolled back. The replica will get fixed on the next write with successful replication. i.e it will get overwritten with latest record.
BTW, an important thing to note is that stop-writes is honored at the master and not at the replica. It will be a bad idea to fail the replica write because of this. As long as you have some head room in terms of memory (no malloc failures) and disk, there are hardly any chances of replica write failure when the node itself did not go down.
We are using MongoDB in production environment and now, due to some issues of current servers, I'm going to change the server and start a new MongoDB instance.
We have a replica set and a single mongod instance (two different MongoDB networks for different purposes). Now, first I should migrate the single mongod instance and then the whole replica set to the new server.
What I want to know is, how can I migrate both instances with no down-time? I don't want to shutdown the server or stop write operations.
Thanks in advance.
So first of all you should never run mongodb as a single instance for production. At a minimum you should have 1 primary, 1 secondary and 1 arbiter.
Second, even with a replica set you will always have a bit of write downtime when you switch primaries, as writes are not possible during the election process. From the docs:
IMPORTANT Elections are essential for independent operation of a
replica set; however, elections take time to complete. While an
election is in process, the replica set has no primary and cannot
accept writes. MongoDB avoids elections unless necessary.
Elections are going to occur when for example you bring down the primary to move it to a new server or virtual instance, or upgrade the database version (like going from 2.4 to 2.6).
You can keep downtime to a minimum with an existing replica set by setting the appropriate options to allow queries to run against secondaries. Again from the docs:
Maintaining availability during a failover. Use primaryPreferred if
you want an application to read from the primary under normal
circumstances, but to allow stale reads from secondaries in an
emergency. This provides a “read-only mode” for your application
during a failover.
This takes care of reads at least. Writes are best dealt with by having your application retry failed writes, or queue them up.
Regarding your standalone the documented procedures for converting to a replica set are well tested and can be completed very quickly with minimal downtime:
http://docs.mongodb.org/manual/tutorial/convert-standalone-to-replica-set/
You cannot have no downtime (a new mongod will run on new IP so you need to at least connect to it). But you can minimize downtime by making geographically distributed replica set.
Please Read
http://docs.mongodb.org/manual/tutorial/deploy-geographically-distributed-replica-set/
Use the given process but please note:
Do not set priority 0 of instances at New Location so that they become primary when old ones at Old Location step down.
You still need to restart mongod in replica set mode at Old Location.
You need 3 instances including an arbiter at New Location, if you want it to be
replica set.
When complete data is in sync with instances at New Location, step down instances at Old Location (one by one). Now everything will go to New Location but the problem is that it is directed through a distant mongod.
So stop mongod at Old Location and start a new one at new Location. Connect your applications to New Location Mongod.
Note: I have not done the same so far. I had planned it once but then I got the problem and it was not of hosting provider. Practically you may get some issues.
Replica Set is the feature provided by the Mongodb database to achieve high availability and automatic failover.
It is kinda traditional master-slave configuration but have capability of automatic failover.
It is basically group/cluster of the mongod instances which communicates, replicates to each other to provide high availability and to do automatic failover
Basically, in replica sets there are minimum 2 and maximum of 12 mongod instances can exist
In replica set following types of server exist. out of all, one server is always primary.
http://blog.ajduke.in/2013/05/31/setup-mongodb-replica-set-in-4-steps/
John answer is right, btw in your case you have no way to avoid downtime, you can just try to make it shorter as possible.
You can prepare the new replica set and save its configuration.
Same for the single mongod instance, prepare a js file with specific configuration (ie: stuff going on the admin database).
disable client connections on production servers.
copy the datafiles from the old servers to the new ones (http://docs.mongodb.org/manual/core/backups/#backup-with-file-copies)
apply your previous saved replica set config and configuration.
done
you can use diffent ways as add an hidden secondary member on the replica set if you have a lot of data, so you can wait it's is up-to-date before stopping the production server. Basically for the replica set you have many ways to handle a migration, with the single instance instead you don't have such features.
I have 3 member replicaSet in MongoDB which fell apart when re-configuring the host names of the sever instances. I had to reconfigure the replicaSet, however I am curious how MongoDB handles records that are not synced across all the members.
Case 1) There is a new record on the MongoDB server that I access to reconfigure the set.
Case 2) There is a new record on another MongoDB server that is added later to the replica set.
Each replica-set has one primary node and one or more secondary nodes.
All writes happen on the primary. The primary then sends these changes to the secondaries (the list of changes is referred to as "the oplog"). That means the primary is always the member with the most up-to-date data.
When the primary is suddenly unreachable, the replica-set is put into read-only mode and an election takes place to find a new primary. Usually the secondary which is most up-to-date is selected (more details on replica-set election). Any writes which were not propagated to that secondary yet are lost.
When the old primary goes back online, it re-joins the replica-set as a secondary. Its data gets synchronized to the state of the new primary. Any writes which only happened on the old primary which weren't propagated to the new primary before the crash are rolled back.
The rolled-back writes are backed up as bson-files in the directory /rollback and can be re-added to the replica-set using bsondump and mongorestore. Details about this procedure can be found in the article Rollbacks During Replica Set Failover
I'd like to use mongodb to distribute a cached database to some distributed worker nodes I'll be firing up in EC2 on demand. When a node goes up, a local copy of mongo should connect to a master copy of the database (say, mongomaster.mycompany.com) and pull down a fresh copy of the database. It should continue to replicate changes from the master until the node is shut down and released from the pool.
The requirements are that the master need not know about each individual slave being fired up, nor should the slave have any knowledge of other nodes outside the master (mongomaster.mycompany.com).
The slave should be read only, the master will be the only node accepting writes (and never from one of these ec2 nodes).
I've looked into replica sets, and this doesn't seem to be possible. I've done something similar to this before with a master/slave setup, but it was unreliable. The master/slave replication was prone to sudden catastrophic failure.
Regarding replicasets: While I don't imagine you could have a set member invisible to the primary (and other nodes), due to the need for replication, you can tailor a particular node to come pretty close to what you want:
Set the newly-launched node to priority 0 (meaning it cannot become primary)
Set the newly-launched node to 'hidden'
Here are links to more info on priority 0 and hidden nodes.