MySQL Operator for Kubernetes

Overview

MySQL Operator for Kubernetes

The MYSQL Operator for Kubernetes is an Operator for Kubernetes managing MySQL InnoDB Cluster setups inside a Kubernetes Cluster.

The MySQL Operator manages the full lifecycle with setup and maintenance including automation of upgrades and backup.

Release Status

The MySQL Operator for Kubernetes currently is in a preview state. DO NOT USE IN PRODUCTION.

License

Copyright (c) 2020, 2021, Oracle and/or its affiliates.

This is a release of MySQL Operator, a Kubernetes Operator for MySQL InnoDB Cluster

License information can be found in the LICENSE file. This distribution may include materials developed by third parties. For license and attribution notices for these materials, please refer to the LICENSE file.

For more information on MySQL Operator visit https://dev.mysql.com/doc/mysql-shell/8.0/en/ For additional downloads and the source of MySQL Operator visit http://dev.mysql.com/downloads and https://github.com/mysql

MySQL Operator is brought to you by the MySQL team at Oracle.

Installation of the MySQL Operator

The MYSQL Operator can be installed using kubectl:

kubectl apply -f https://raw.githubusercontent.com/mysql/mysql-operator/trunk/deploy/deploy-crds.yaml
kubectl apply -f https://raw.githubusercontent.com/mysql/mysql-operator/trunk/deploy/deploy-operator.yaml

Note: The propagation of the CRDs can take a few seconds depending on the size of your Kubernetes cluster. Best is to wait a second or two between those commands. If the second command fails due to missing CRD apply it a second time.

To verify the operator is running check the deployment managing the operator, inside the mysql-operator namespace.

kubectl get deployment -n mysql-operator mysql-operator

Once the Operator is ready the putput should be like

NAME             READY   UP-TO-DATE   AVAILABLE   AGE
mysql-operator   1/1     1            1           1h

Using the MySQL Operator to setup a MySQL InnoDB Cluster

For creating an InnoDB Cluster you first have to create a secret containing credentials for a MySQL root user which is to be created:

kubectl create secret generic  mypwds \
        --from-literal=rootUser=root \
        --from-literal=rootHost=% \
        --from-literal=rootPassword="your secret password, REPLACE ME"

With that the sample cluster can be created:

kubectl apply -f https://raw.githubusercontent.com/mysql/mysql-operator/trunk/samples/sample-cluster.yaml

This sample will create an InnoDB Cluster with three MySQL server instances and one MySQL Router instance. The process can be observed using

kubectl get innodbcluster --watch
NAME          STATUS    ONLINE   INSTANCES   ROUTERS   AGE
mycluster     PENDING   0        3           1         10s

Connecting to the MYSQL InnoDB Cluster

For connecting to the InnoDB Cluster a Service is created inside the Kubernetes cluster.

kubectl get service mycluster
NAME          TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)                               AGE
mycluster     ClusterIP   10.43.203.248   <none>        6446/TCP,6448/TCP,6447/TCP,6449/TCP   1h

The exported ports represent Read-write and read-only ports for the MySQL Protocol and the X Protocol. Using describe more information can be seen

kubectl describe service mycluster
Name:              mycluster
Namespace:         default
Labels:            mysql.oracle.com/cluster=mycluster
                   tier=mysql
Annotations:       <none>
Selector:          component=mysqlrouter,mysql.oracle.com/cluster=mycluster,tier=mysql
Type:              ClusterIP
IP Families:       <none>
IP:                10.43.203.248
IPs:               <none>
Port:              mysql  6446/TCP
TargetPort:        6446/TCP
Endpoints:         <none>
Port:              mysqlx  6448/TCP
TargetPort:        6448/TCP
Endpoints:         <none>
Port:              mysql-ro  6447/TCP
TargetPort:        6447/TCP
Endpoints:         <none>
Port:              mysqlx-ro  6449/TCP
TargetPort:        6449/TCP
Endpoints:         <none>
Session Affinity:  None
Events:            <none>

Using Kubernetes port forwarding you can create a redirection from your local machine, so that you can use any MySQL Client, like MySQL Shell or MySQL Workbench to inspect or using the server.

For a read-write connection to the primary using MYSQL protocol:

kubectl port-forward service/mycluster mysql

And then in a second terminal:

mysqlsh -h127.0.0.1 -P6446 -uroot -p

When promted enter the password used, when creating the Secret above.

Owner
MySQL
Oracle Corporation
MySQL
Creating a python package to convert /transfer excelsheet data to a mysql Database Table

Creating a python package to convert /transfer excelsheet data to a mysql Database Table

Odiwuor Lameck 1 Jan 07, 2022
DataStax Python Driver for Apache Cassandra

DataStax Driver for Apache Cassandra A modern, feature-rich and highly-tunable Python client library for Apache Cassandra (2.1+) and DataStax Enterpri

DataStax 1.3k Dec 25, 2022
A selection of SQLite3 databases to practice querying from.

Dummy SQL Databases This is a collection of dummy SQLite3 databases, for learning and practicing SQL querying, generated with the VS Code extension Ge

1 Feb 26, 2022
PyRemoteSQL is a python SQL client that allows you to connect to your remote server with phpMyAdmin installed.

PyRemoteSQL Python MySQL remote client Basically this is a python SQL client that allows you to connect to your remote server with phpMyAdmin installe

ProbablyX 3 Nov 04, 2022
Find graph motifs using intuitive notation

d o t m o t i f Find graph motifs using intuitive notation DotMotif is a library that identifies subgraphs or motifs in a large graph. It looks like t

APL BRAIN 45 Jan 02, 2023
Kafka Connect JDBC Docker Image.

kafka-connect-jdbc This is a dockerized version of the Confluent JDBC database connector. Usage This image is running the connect-standalone command w

Marc Horlacher 1 Jan 05, 2022
db.py is an easier way to interact with your databases

db.py What is it Databases Supported Features Quickstart - Installation - Demo How To Contributing TODO What is it? db.py is an easier way to interact

yhat 1.2k Jan 03, 2023
Databank is an easy-to-use Python library for making raw SQL queries in a multi-threaded environment.

Databank Databank is an easy-to-use Python library for making raw SQL queries in a multi-threaded environment. No ORM, no frills. Thread-safe. Only ra

snapADDY GmbH 4 Apr 04, 2022
A CRUD and REST api with mongodb atlas.

Movies_api A CRUD and REST api with mongodb atlas. Setup First import all the python dependencies in your virtual environment or globally by the follo

Pratyush Kongalla 0 Nov 09, 2022
Monty, Mongo tinified. MongoDB implemented in Python !

Monty, Mongo tinified. MongoDB implemented in Python ! Inspired by TinyDB and it's extension TinyMongo. MontyDB is: A tiny version of MongoDB, against

David Lai 522 Jan 01, 2023
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

Redash is designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users levera

Redash 22.4k Dec 30, 2022
Dinamopy is a python helper library for dynamodb

Dinamopy is a python helper library for dynamodb. You can define your access patterns in a json file and can use dynamic method names to make operations.

Rasim Andıran 2 Jul 18, 2022
dask-sql is a distributed SQL query engine in python using Dask

dask-sql is a distributed SQL query engine in Python. It allows you to query and transform your data using a mixture of common SQL operations and Python code and also scale up the calculation easily

Nils Braun 271 Dec 30, 2022
This repository is for active development of the Azure SDK for Python.

Azure SDK for Python This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public

Microsoft Azure 3.4k Jan 02, 2023
Redis Python Client

redis-py The Python interface to the Redis key-value store. Python 2 Compatibility Note redis-py 3.5.x will be the last version of redis-py that suppo

Andy McCurdy 11k Dec 29, 2022
Prometheus instrumentation library for Python applications

Prometheus Python Client The official Python 2 and 3 client for Prometheus. Three Step Demo One: Install the client: pip install prometheus-client Tw

Prometheus 3.2k Jan 07, 2023
A HugSQL-inspired database library for Python

PugSQL PugSQL is a simple Python interface for using parameterized SQL, in files. See pugsql.org for the documentation. To install: pip install pugsql

Dan McKinley 558 Dec 24, 2022
Simple Python demo app that connects to an Oracle DB.

Cloud Foundry Sample Python Application Connecting to Oracle Simple Python demo app that connects to an Oracle DB. The app is based on the example pro

Daniel Buchko 1 Jan 10, 2022
asyncio compatible driver for elasticsearch

asyncio client library for elasticsearch aioes is a asyncio compatible library for working with Elasticsearch The project is abandoned aioes is not su

97 Sep 05, 2022
Async database support for Python. 🗄

Databases Databases gives you simple asyncio support for a range of databases. It allows you to make queries using the powerful SQLAlchemy Core expres

Encode 3.2k Dec 30, 2022