How to remove Couchbase node, having non replicated ephemeral bucket - couchbase

I am having 2 Couchbase node, having 3 ephemeral buckets. The buckets are non replicated.
Lets name the nodes as A and B. Now I want to keep node B and remove node A.
Our client services is having the IP of node B, so I want to remove node A.
Can I remove node A directly from the Couchbase console and perform rebalancing. Am I going to lose data.
Any help will be appreciated.

I just tried this locally:
I created an ephemeral bucket with 0 replicas on a 2-node cluster.
I put 6 total documents in the bucket.
I removed one node.
I rebalanced the cluster.
After the rebalance was complete, I still had 6 documents in the ephemeral bucket.
So it appears that you will NOT lose data. HOWEVER, I would highly recommend taking advantage of the distributed nature of Couchbase and turn on replication in order to get high availability (in case something goes wrong with one of the nodes that you didn't plan for).

Related

Having as many Pods as Nodes

We are currently using 2 Nodes, but we may need more in the future.
The StatefulSets is a mariadb-galera is current replica is at 2.
When we'll had a new Nodes we want the replica to be a 3, f we don't need it anymore and we delete it or a other Node we want it to be a 2.
In fact, if we have 3 Nodes we want 3 replica one on each Nodes.
I could use Pod Topology Spread Constraints but we'll have a bunch of "notScheduled" pods.
Is there a way to adapt the number of Replica automatically, every time a nodes is add or remove?
When we'll had a new Nodes we want the replica to be a 3, f we don't need it anymore and we delete it or a other Node we want it to be a 2.
I would recommend to do it the other way around. Manage the replicas of your container workload and let the number of nodes be adjusted after that.
See e.g. Cluster Autoscaler for how this can be done, it depends on what cloud provider or environment your cluster is using.
It is also important to specify your CPU and Memory requests such that it occupy the whole nodes.
For MariaDB and similar workload, you should use StatefulSet and not DaemonSet.
You could use a Daemon Set https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
Which will ensure there is one pod per node.
A DaemonSet ensures that all (or some) Nodes run a copy of a Pod. As nodes are added to the cluster, Pods are added to them. As nodes are removed from the cluster, those Pods are garbage collected. Deleting a DaemonSet will clean up the Pods it created.
Also, its not advised to run a database in anything else than a statefulset due to the pod identity concept as statefulsets have.
Due to all the database administration it is advisable to use any cloud provider managed databases or managing it, specially inside the cluster will incur in multiple issues

couchbase cluster document not replicating but splitting up

I've set up a couchbase cluster with 2 nodes containing 300k docs on 4 buckets. the option replicas is forced to 1 as there are only 2 machines.
But documents are splitted half in one node half in the other, I need to have double copy of each document so if a node goes down the other one che still supply all data to my app.
Is there a setting I missed in creating the cluster?
can I still set the cluster to replicate all documents?
I hope someone can help.
thanks
PS: I'm using couchbase community 4.5
UPDATE:
I add screenshots of cluster web interface and cbstast output:
the following is the state with one node only
next the one with both node up:
then cbstats results on both node when both are up and running:
AS you can see with only one node there are half items displayed. Does it mean that the other half resides as replicas but are not shown???
can I still run consistenly my app with only one node???
UPDATE:
I had to click fail-over manually to see replicas become active on the remaining node. As with just two cluster auto fail-over is disabled!!!
Couchbase Server will partition or shard the documents across the two nodes, as you observed. It will also place replicas on those nodes, based on your one-replica configuration.
To access a replica, you must use one of the Client SDKs.
For example, this Java code will attempt to retrieve a replica (getFromReplica("id", ReplicaMode.ALL)) if the active document retrieval fails (get("id")).
bucket.async()
.get("id")
.onErrorResumeNext(bucket.async().getFromReplica("id", ReplicaMode.ALL))
.subscribe();
The ReplicaMode.ALL tells Couchbase to try all nodes with replicas and the active node.
So what was happening with only two nodes in the cluster was that auto fail-over didn't start automatically as specified here:
https://developer.couchbase.com/documentation/server/current/clustersetup/automatic-failover.html
this means data replicas where not activated in the remaining node unless fail-over was triggerd manullay.
The best thing is to have more than TWO nodes in the cluster before going in production.
To be honest I should have ridden documentation very carefully before asking any question.
thanks Jeff Kurtz for your help, you pushed me towards the solution. (the understanding of how couchbase replicas policy works).

Where can I find the clear definitions for a Couchbase Cluster, Couchbase Node and a Couchbase Bucket?

I am new to Couchbase and NoSQL terminologies. From my understanding a Couchbase node is a single system running a Couchbase Server application and a collection of such nodes having the same data by replication form a Couchbase Cluster.
Also, a Couchbase Bucket is somewhat like a table in RDBMS wherein you put your documents. But how can I relate the Node with the Bucket? Can someone please explain me about it in simple terms?
a Node is a single machine (1 IP/ hostname) that executes Couchbase Server
a Cluster is a group of Nodes that talk together. Data is distributed between the nodes automatically, so the load is balanced. The cluster can also provides replication of data for resilience.
a Bucket is the "logical" entity where your data is stored. It is both a namespace (like a database schema) and a table, to some extent. You can store multiple types of data in a single bucket, it doesn't care what form the data takes as long as it is a key and its associated value (so you can store users, apples and oranges in a same Bucket).
The bucket acts gives the level of granularity for things like configuration (how much of the available memory do you want to dedicate to this bucket?), replication factor (how many backup copies of each document do you want in other nodes?), password protection...
Note that I said that Buckets where a "logical" entity? They are in fact divided into 1024 virtual fragments which are spread between all the nodes of the cluster (that's how data distribution is achieved).

CouchbaseClient configuration for more than one cluster

Let's assume I have two couchbase clusters with XDCR setup and having following nodes:
n1.cluster1.com
n2.cluster1.com
n3.cluster1.com
and
n1.cluster2.com
n2.cluster2.com
n3.cluster2.com
What is preferable node configuration for CouchbaseClient?
As from http://docs.couchbase.com/couchbase-sdk-java-1.4/#hello-couchbase
The CouchbaseClient class accepts a list of URIs that point to nodes in the cluster. If your cluster has more than one node, Couchbase strongly recommends that you add at least two or three URIs to the list. The list does not have to contain all nodes in the cluster, but you do need to provide a few nodes so that during the initial connection phase your client can connect to the cluster even if one or more nodes fail.
After the initial connection, the client automatically fetches cluster configuration and keeps it up-to-date, even when the cluster topology changes. This means that you do not need to change your application configuration at all when you add nodes to your cluster or when nodes fail. Also make sure you use a URI in this format: http://[YOUR-NODE]:8091/pools. If you provide only the IP address, your client will fail to connect. We call this initial URI the bootstrap URI.
Does it mean I should add at least two or three nodes from each cluster? Or two or three node from the whole system?
Each CouchbaseClient object will only connect to one cluster. The list of node URIs should all belong to the same cluster - you'll likely get strange behaviour if you list nodes from different clusters.
If your application wants to connect to two different cluster (irrespective of if they have a replication stream between them or not), then you want to create two CouchbaseClient objects, one connected to each cluster.
I recommend adding all nodes of the cluster to your client connect configuration. The reason is that if one or more of the nodes are down (i.e. planned shutdown, server crash, etc) the client would still be able to connect to the cluster(s) when it restarted.
Note that client need this list of connect nodes at the time of start up, once communicated with the cluster it will maintain its own track of active/inactive cluster nodes.
I have in production one cluster of 3 nodes and all my clients have all nodes in the connect configuration, e.g.
http://my-node1:8091/pools,http://my-node2:8091/pools,http://my-node3:8091/pools
Regarding multiple clusters I'm not sure it will work with the same client instance unless a Couchbase client instance is smart enough to distinguish multiple clusters and keep track of its nodes health. Read on Couchbase installation guide
I found in documentation if you are using Couchbase Moxi it does support multiple clusters:
Moxi also supports proxying to multiple clusters from a single moxi
instance, where this was originally designed and implemented for
software-as-a-service purposes. Use a semicolon (';') to specify and
delimit more than one cluster:
-z “LISTEN_PORT=[CLUSTER_CONFIG][;LISTEN_PORT2=[CLUSTER_CONFIG2][]]”

Does the MySQL NDB Cluster consider node distance? Will it use the replicates if they are nearer?

I'm building a very small NDB cluster with only 3 machines. This means that machine 1 will serve as both MGM Server, MySQL Server, and NDB data node. The database is only 7 GB so I plan to replicate each node at least once. Now, since a query might end up using data that is cached in the NDB node on machine one, even if it isn't node the primary source for that data, access would be much faster (for obvious reasons).
Does the NDB cluster work like that? Every example I see has at least 5 machines. The manual doesn't seem to mention how to handle node differences like this one.
There are a couple of questions here :
Availability / NoOfReplicas
MySQL Cluster can give high availability when data is replicated across 2 or more data node processes. This requires that the NoOfReplicas configuration parameter is set to 2 or greater. With NoOfReplicas=1, each row is stored in only one data node, and a data node failure would mean that some data is unavailable and therefore the database as a whole is unavailable.
Number of machines / hosts
For HA configurations with NoOfReplicas=2, there should be at least 3 separate hosts. 1 is needed for each of the data node processes, which has a copy of all of the data. A third is needed to act as an 'arbitrator' when communication between the 2 data node processes fails. This ensures that only one of the data nodes continues to accept write transactions, and avoids data divergence (split brain). With only two hosts, the cluster will only be resilient to the failure of one of the hosts, if the other host fails instead, the whole cluster will fail. The arbitration role is very lightweight, so this third machine can be used for almost any other task as well.
Data locality
In a 2 node configuration with NoOfReplicas=2, each data node process stores all of the data. However, this does not mean that only one data node process is used to read/write data. Both processes are involved with writes (as they must maintain copies), and generally, either process could be involved in a read.
Some work to improve read locality in a 2-node configuration is under consideration, but nothing is concrete.
This means that when MySQLD (or another NdbApi client) is colocated with one of the two data nodes, there will still be quite a lot of communication with the other data node.