Redis WAIT behavior upon failover - redis

I have a Redis HA deployment with 3 nodes (1 Master, 2 Slaves) and a sentinel running on every node. On the client side, I use a WAIT 2 0 to block indefinitely until my write reached the 2 slaves (and I am OK with that).
What would be the behavior of the WAIT command upon:
1) a network partition isolates the master and the client from the 2 slaves so my client is currently blocked by the WAIT
2) the majority of sentinels elects one of the slave as the new master (since there is still a quorum)
3) the network partition heals and the old master become slave of the new one
Would the WAIT still be blocking? Or would it release the client returning "0" slaves reached?
Many thanks

Related

Redis Sentinel with 2 master after multi az netsplit

Hello stack community,
I have a question about Redis sentinel for a specific problem case. I use AWS with Multi AZ to create a sensu cluster.
On eu-central-1a I have a sensu+redis(M), a RBMQ+Sentinel and 2 others Sentinels. Same on eu-central-1b but the redis is my slave on this AZ.
What happen if there is a problem and eu-central-1a can not communicate with eu-central-1b ? What I think is that Sentinel on eu-central-1b should promote my redis slave to master, because he can not contact my redis master. So I should have 2 redis masters running together on 2 different AZ.
But when the link is retrieved between AZ, I will still have 2 masters, with 2 different datas. What will happen in this case ? One master will become a slave and data will be replicated without loss ? Do we need to restart a master and he will be a slave ?
Sentinel detects changes to the master for example
If the master goes down and is unreachable a new slave is elected. This is based on the quorum where multiple sentinels agree that the master has gone down. The failover then occurs.
Once the sentinel detects the master come back online it is then a slave I believe thus the new master continues I believe. You will loose data in the switchover from master to new master that in inevitable.
If you loose connection then yes sentinel wont work correctly as it relies on multiple sentinels to agree the master redis is down. You shouldn't use sentinel in a 2 sentinel system.
Basic solution would be for you to put a extra sentinel on another server maybe the client/application server that isn't running redis/sentinel this way you can make use of the quorum and sentinels agreeing the master is down.

Unslave a redis slave

I have a setup of 3 instances in a failover cluster, one master and two slaves. All monitored by sentinels. At one point I decide I don't need one slave, and I want to reuse that redis instance for something else, what commands to I issue?
I tried running slaveof no one on that slave, but it's enslaved again in a few seconds.
Sentinels remember forever the slaves they have seen, in order to reconnect them when they return after a crash or a network partition.
For the sentinels to forget the slave to remove, Redis' doc says "you need to send a SENTINEL RESET mastername command to all the Sentinels: they'll refresh the list of slaves within the next 10 seconds, only adding the ones listed as correctly replicating from the current master INFO output."

Redis sentinels in same servers as master/slave?

I've been doing some reading on how to use Redis Sentinel, and I know it's possible to have 2 or more sentinels, and load balance between them when calling from the client side.
Is it good practice to have these 2 sentinels in the same server as my master + slave? In other words, have 1 sentinel in the same physical server as master, and another in same physical server as slave?
It seems to me if the master server dies, the sentinel in the slave will simply promote the slave to a master. if the slave server dies, it doesn't matter because the master is still up.
Am I missing something? What are the downsides?
I rather have the sentinels be in the same physical server as the master/slave to reduce latency.
First, Sentinel is not a load balancer or a proxy for Redis.
Second, not all failures are death of the host. Sometimes the server hangs briefly, sometimes a network cable gets unplugged, etc. Because f this, it is not good practice to run Sentinel on the same hosts as your Redis instance. If you're using Sentinel to manage failover, anything less than three sentinels running on nodes other than your Redis master and slave(s) is asking for trouble.
Sentinel uses a quorum mechanism to vote on a failover and slave. With less than two sentinels you run the risk of split brain where two or more Redis servers think they are master.
Imagine the scenario where you run two servers and run sentinel on each. If you lose one you lose reliable failover capability.
Clients only connect to Sentinel to learn the current master connection information. Anytime the client loses connectivity they repeat this process. Sentinel is not a proxy for Redis - commands for Redis go directly to Redis.
The only reliable reason to run Sentinel with less than three sentinels is for service discovery, which means not using it for failover management.
Consider the two host scenario:
Host A: redis master + sentinel 1 (Quorum 1)
Host B: redis slave + sentinel 2 (Quorum 1)
If Host B temporarily loses network connectivity to Host A in this scenario HostB will promote itself to master. Now you have:
Host A: redis master + sentinel 1 (Quorum 1)
Host B: redis master + sentinel 2 (Quorum 1)
Any clients which connect to Sentinel 2 will be told Host B is the master, whereas clients which connect to Sentinel 1 will be told Host A the master (which, if you have your Sentinels behind a load balancer, means half of your clients).
Thus what you need to run to obtain minimum acceptable reliable failover management is:
Host A: Redis master
Host B: Redis Slave
Host C: Sentinel 1
Host D: Sentinel 2
Host E: Sentinel 2
Your clients connect to the sentinels and obtain the current master for the Redis instance (by name), then connect to it. If the master dies the connection should be dropped by the client whereupon the client will/should connect to Sentinel again and get the new information.
How well each client library handles this is dependent on the library.
Ideally Hosts C,D, and E are either on the same hosts where you connect to Redis from (ie. the client host). or represent a good sampling got them. The main thrust here is to ensure you are checking from where you need to connect to Redis from. Failing that place them in the same DC/Rack/Region as the clients.
If you are wanting to have your clients talk to a load balancer try to have your Sentinels on those LB nodes if possible, adding additional non-LB hosts as needed to obtain an odd number of sentinels > 2. An exception to this is if your client hosts are dynamic in that the number of them is inconsistent (they scale up for traffic, down for slow periods, for example). In this scenario you pretty much must run your Sentinels on non-client and non-redis-server hosts.
Note that if you do this you will then need to write a daemon which monitors the Sentinel PUBSUB channel for the master switch event to update the LB -which you must configure to only talk to the current master (never try to talk to both). It is more work to do that but does make use of Sentinel transparent to the client - which only knows to talk to the LB IP/Port.
It all depends the level of Disaster Recovery you want to achieve, let's assume you have the following components independently of where they are hosted:
2 Sentinels
1 Master
1 Slave
1 Master 1+ Slaves
One host scenario
Host fails: You loose everything, bad replication scenario for most use cases.
Two host scenario
Host 1:
(Current elected) Master
1 Sentinel
Host 2:
Slave
1 Sentinel
It is true that in this scenario you can have the hosts fail one at a time which gives you some level of security. Just try to understand if by different server you mean physically different hosts. If these are just VMs on the same host, you do not get the same level of DR (Disaster Recovery).
Regarding your question:
I rather have the sentinels be in the same server as the master/slave to reduce latency.
Notice that Sentinels keep track of the current master and slaves, but the Redis clients do not connect to the Master VIA the Sentinels, they just get where the current master is via the Sentinels, e.g., in terms of reads and writes you're not looking into any considerable* latency gains.
Configuration provider. Sentinel acts as a source of authority for clients service discovery: clients connect to Sentinels in order to ask for the address of the current Redis master responsible for a given service. If a failover occurs, Sentinels will report the new address.
(see: http://redis.io/topics/sentinel)
The way I see it the only gains you have in terms of latency are the heartbeats sent from the Master and Slaves to the sentinel. As long as you are not spreading your servers through the whole world that should be ok.
It all depends on the use cases, but it seems you would do best to keep things as separate as possible if all other things are equal (costs, distance to clients, etc).
You can have sentinels on the same machine with master/slave, but the sentinels must be odd(3/5/7) in number. There should be atleast three sentinels and it is must to have a dedicated machine for atleast one sentinel.
If you have only two nodes, then in case of a split-brain (network disrupt) situation, the slave will be promoted to master. Both the master now will accept data from clients.However, when things come back to normal, one of the master will be demoted as a slave. That master will lose all of its data as it is a slave now and will replicate the data from current master.
check this for good a explanation of redis architectural desings and split-brain:
https://web.archive.org/web/20170527053749/http://www.yzuzun.com/2015/04/some-architectural-design-concepts-for-redis/
It's certainly not a recommended approach.
The Redis Sentinel docs explains the tradeoffs pretty well. Hope this helps.
https://redis.io/topics/sentinel#example-sentinel-deployments

1 Redis sentinel vs multiple redis sentinels?

I've been reading about the use of Redis sentinel for failover. I plan to have 1 master + 1 slave, and turn the slave into a master if the master goes down for more than 1 minute. I know this is 100% possible with Sentinel.
However, I've seen documentation mention the use of multiple Sentinels. Let's assume this is not possible (ie. budget or technical constraints). I assume I can have this configuration:
1 Sentinel in Server A
Master in Server B
Slave in Server C
What's the benefit of having multiple sentinels as opposed to 1? My app can only connect to 1 sentinel at a time, and even if there were 2 sentinels, my app can't rotate or switch between either of them if one goes down w/o some complicated logic in my app layer.
This configuration is possible only if servers in different locations. In that case, it hasn't SPOF, because of very low chances that 2 servers failed at the same time. If Sentinel failed, you can quickly notice it and repair/start new with Ansible.
This configuration worked for me 2 years, HA and FO worked perfectly.

changing the quorum in redis sentinel

I have 3 sentinels monitoring a master slave setup with a quorum of 2, I would like to increase this to 5 sentinels and a quorum of 3. However when I run SENTINEL SET master quorum 3 the change is not propagated to the other 2 sentinels. Is this correct, if a fail over does happen is the value of the last change taken?
This is intended behavior. All master level commands must be sent to each sentinel individually, it does not propagate commands to other sentinels. Send the command to each of your five sentinels and you will get the effect you are after.