Skip to main content

Deploying and scaling an Oracle database on a multi-node Kubernetes cluster

In this post I am going to explain how to deploy and scale a Oracle Express database on a multi-node Kubernetes cluster. I am going to use this Docker container by Maxym Bylenko.  I am referring to the container for the Oracle XE 11g because of the following open issue with that for Oracle XE 12c at the time I did the process described below. I am assuming the readers have at least basic or middle level knowledge of the Kubernetes concepts.
First thing to do is to create a Pod. We can do this (and other operations described in this post) declaratively through a YAML file:

apiVersion: v1
kind: Pod
metadata:
  name: "oradb"
labels:
  name: "oradb"
spec:
    containers:
      - image: "sath89/oracle-xe-11g:latest"
        name: "oradb"
        ports:
          - containerPort: 1521
        restartPolicy: Always


Once the Pod has been successfully created, we need to create a Service for it:

apiVersion: v1
kind: Service
metadata:
  name: "oradb"
  labels:
    app: "oradb"
spec:
  ports:
    - port: 1521
  selector:
    app: "oradb"


Now we need to create a ReplicationController. It enables to easily create multiple pods and then ensure that that number of pods always exists: if a pod crashes, the Replication Controller replaces it. Here's how we can declaratively create a ReplicationController, specifying we want 2 replicas:

apiVersion: v1
kind: ReplicationController
metadata:
  name: "oradb"
  labels:
    app: "oradb"
spec:
  replicas: 2
  selector:
    app: "oradb"
  template:
    metadata:
      labels:
        app: "oradb"
    spec:
      containers:
        - image: "sath89/oracle-xe-11g:latest"
          name: "oradb"


We can check if the ReplicationController has been created successfully from a shell through kubectl:

kubectl get rc

or, if in OpenShift Origin:

oc get rc

NAME      DESIRED   CURRENT   AGE
oradb       2            2                  1d


Let's check for the pods:

kubectl get pods

or, in OpenShift Origin:

oc get pods

NAME          READY     STATUS    RESTARTS   AGE
oradb           1/1         Running        0          1d
oradb-6rs8h   1/1       Running        0          1d
oradb-cq2x9   1/1       Running       0          1d


Imagine now we need to scale the cluster from 2 to 3 Pods. It is possible to do this simply with the kubectl scale command:

kubectl scale rc oradb --replicas=3

or the oc scale command:
 
oc scale rc oradb --replicas=3

As soon as the command above has been completed, we would find a new pod in the list:

NAME          READY     STATUS    RESTARTS   AGE
oradb           1/1         Running        0          1d
oradb-6rs8h   1/1       Running        0          1d
oradb-cq2x9   1/1       Running       0          1d

oradb-rplzj   1/1       Running       0          1d
 
And that's the new situation for the ReplicationController:

NAME      DESIRED   CURRENT   AGE
oradb       3            3                  1d


The database sid is xe and the credentials to connect are:
username: system
password: oracle




Comments

Post a Comment

Popular posts from this blog

Exporting InfluxDB data to a CVS file

Sometimes you would need to export a sample of the data from an InfluxDB table to a CSV file (for example to allow a data scientist to do some offline analysis using a tool like Jupyter, Zeppelin or Spark Notebook). It is possible to perform this operation through the influx command line client. This is the general syntax: sudo /usr/bin/influx -database '<database_name>' -host '<hostname>' -username '<username>'  -password '<password>' -execute 'select_statement' -format '<format>' > <file_path>/<file_name>.csv where the format could be csv , json or column . Example: sudo /usr/bin/influx -database 'telegraf' -host 'localhost' -username 'admin'  -password '123456789' -execute 'select * from mem' -format 'csv' > /home/googlielmo/influxdb-export/mem-export.csv

jOOQ: code generation in Eclipse

jOOQ allows code generation from a database schema through ANT tasks, Maven and shell command tools. But if you're working with Eclipse it's easier to create a new Run Configuration to perform this operation. First of all you have to write the usual XML configuration file for the code generation starting from the database: <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <configuration xmlns="http://www.jooq.org/xsd/jooq-codegen-2.0.4.xsd">   <jdbc>     <driver>oracle.jdbc.driver.OracleDriver</driver>     <url>jdbc:oracle:thin:@dbhost:1700:DBSID</url>     <user>DB_FTRS</user>     <password>password</password>   </jdbc>   <generator>     <name>org.jooq.util.DefaultGenerator</name>     <database>       <name>org.jooq.util.oracle.OracleDatabase</name>     ...

Turning Python Scripts into Working Web Apps Quickly with Streamlit

 I just realized that I am using Streamlit since almost one year now, posted about in Twitter or LinkedIn several times, but never wrote a blog post about it before. Communication in Data Science and Machine Learning is the key. Being able to showcase work in progress and share results with the business makes the difference. Verbal and non-verbal communication skills are important. Having some tool that could support you in this kind of conversation with a mixed audience that couldn't have a technical background or would like to hear in terms of results and business value would be of great help. I found that Streamlit fits well this scenario. Streamlit is an Open Source (Apache License 2.0) Python framework that turns data or ML scripts into shareable web apps in minutes (no kidding). Python only: no front‑end experience required. To start with Streamlit, just install it through pip (it is available in Anaconda too): pip install streamlit and you are ready to execute the working de...