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@@ -15,7 +15,7 @@ weight: 30
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This page shows how to run a replicated stateful application using a
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[StatefulSet](/docs/concepts/workloads/controllers/statefulset/) controller.
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The example is a MySQL single-master topology with multiple slaves running
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The example is a MySQL single-primary topology with multiple secondaries running
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asynchronous replication.
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{{< note >}}
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@@ -69,9 +69,9 @@ kubectl apply -f https://k8s.io/examples/application/mysql/mysql-configmap.yaml
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```
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This ConfigMap provides `my.cnf` overrides that let you independently control
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configuration on the MySQL master and slaves.
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In this case, you want the master to be able to serve replication logs to slaves
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and you want slaves to reject any writes that don't come via replication.
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configuration on the MySQL primary and secondaries.
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In this case, you want the primary to be able to serve replication logs to secondaries
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and you want secondaries to reject any writes that don't come via replication.
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There's nothing special about the ConfigMap itself that causes different
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portions to apply to different Pods.
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@@ -96,12 +96,12 @@ cluster and namespace.
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The Client Service, called `mysql-read`, is a normal Service with its own
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cluster IP that distributes connections across all MySQL Pods that report
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being Ready. The set of potential endpoints includes the MySQL master and all
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slaves.
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being Ready. The set of potential endpoints includes the MySQL primary and all
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secondaries.
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Note that only read queries can use the load-balanced Client Service.
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Because there is only one MySQL master, clients should connect directly to the
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MySQL master Pod (through its DNS entry within the Headless Service) to execute
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Because there is only one MySQL primary, clients should connect directly to the
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MySQL primary Pod (through its DNS entry within the Headless Service) to execute
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writes.
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### StatefulSet
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@@ -167,33 +167,33 @@ This translates the unique, stable identity provided by the StatefulSet
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controller into the domain of MySQL server IDs, which require the same
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properties.
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The script in the `init-mysql` container also applies either `master.cnf` or
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`slave.cnf` from the ConfigMap by copying the contents into `conf.d`.
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Because the example topology consists of a single MySQL master and any number of
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slaves, the script simply assigns ordinal `0` to be the master, and everyone
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else to be slaves.
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The script in the `init-mysql` container also applies either `primary.cnf` or
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`secondary.cnf` from the ConfigMap by copying the contents into `conf.d`.
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Because the example topology consists of a single MySQL primary and any number of
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secondaries, the script simply assigns ordinal `0` to be the primary, and everyone
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else to be secondaries.
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Combined with the StatefulSet controller's
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[deployment order guarantee](/docs/concepts/workloads/controllers/statefulset/#deployment-and-scaling-guarantees/),
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this ensures the MySQL master is Ready before creating slaves, so they can begin
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this ensures the MySQL primary is Ready before creating secondaries, so they can begin
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replicating.
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### Cloning existing data
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In general, when a new Pod joins the set as a slave, it must assume the MySQL
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master might already have data on it. It also must assume that the replication
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In general, when a new Pod joins the set as a secondary, it must assume the MySQL
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primary might already have data on it. It also must assume that the replication
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logs might not go all the way back to the beginning of time.
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These conservative assumptions are the key to allow a running StatefulSet
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to scale up and down over time, rather than being fixed at its initial size.
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The second Init Container, named `clone-mysql`, performs a clone operation on
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a slave Pod the first time it starts up on an empty PersistentVolume.
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a secondary Pod the first time it starts up on an empty PersistentVolume.
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That means it copies all existing data from another running Pod,
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so its local state is consistent enough to begin replicating from the master.
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so its local state is consistent enough to begin replicating from the primary.
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MySQL itself does not provide a mechanism to do this, so the example uses a
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popular open-source tool called Percona XtraBackup.
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During the clone, the source MySQL server might suffer reduced performance.
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To minimize impact on the MySQL master, the script instructs each Pod to clone
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To minimize impact on the MySQL primary, the script instructs each Pod to clone
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from the Pod whose ordinal index is one lower.
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This works because the StatefulSet controller always ensures Pod `N` is
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Ready before starting Pod `N+1`.
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@@ -206,15 +206,15 @@ server, and an `xtrabackup` container that acts as a
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[sidecar](https://kubernetes.io/blog/2015/06/the-distributed-system-toolkit-patterns).
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The `xtrabackup` sidecar looks at the cloned data files and determines if
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it's necessary to initialize MySQL replication on the slave.
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it's necessary to initialize MySQL replication on the secondary.
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If so, it waits for `mysqld` to be ready and then executes the
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`CHANGE MASTER TO` and `START SLAVE` commands with replication parameters
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extracted from the XtraBackup clone files.
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Once a slave begins replication, it remembers its MySQL master and
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Once a secondary begins replication, it remembers its MySQL primary and
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reconnects automatically if the server restarts or the connection dies.
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Also, because slaves look for the master at its stable DNS name
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(`mysql-0.mysql`), they automatically find the master even if it gets a new
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Also, because secondaries look for the primary at its stable DNS name
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(`mysql-0.mysql`), they automatically find the primary even if it gets a new
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Pod IP due to being rescheduled.
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Lastly, after starting replication, the `xtrabackup` container listens for
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@@ -224,7 +224,7 @@ case the next Pod loses its PersistentVolumeClaim and needs to redo the clone.
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## Sending client traffic
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You can send test queries to the MySQL master (hostname `mysql-0.mysql`)
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You can send test queries to the MySQL primary (hostname `mysql-0.mysql`)
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by running a temporary container with the `mysql:5.7` image and running the
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`mysql` client binary.
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@@ -291,7 +291,7 @@ it running in another window so you can see the effects of the following steps.
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## Simulating Pod and Node downtime
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To demonstrate the increased availability of reading from the pool of slaves
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To demonstrate the increased availability of reading from the pool of secondaries
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instead of a single server, keep the `SELECT @@server_id` loop from above
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running while you force a Pod out of the Ready state.
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@@ -409,9 +409,9 @@ Now uncordon the Node to return it to a normal state:
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kubectl uncordon <node-name>
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```
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## Scaling the number of slaves
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## Scaling the number of secondaries
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With MySQL replication, you can scale your read query capacity by adding slaves.
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With MySQL replication, you can scale your read query capacity by adding secondaries.
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With StatefulSet, you can do this with a single command:
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```shell
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