Docker

Oracle 18c XE Docker setup

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During August (2021) Gerald Venzi of Oracle released a new set of Docker images and these included Oracle 18c XE Database. Check out Gerald’s blog post about this for a lot more details on these images. Great work Gerald, and it’s way simpler to set this up compared to previous.

The following is really just a reminder to myself of the commands needed to install and run one of the 18c XE docker images.

Gerald has provided 3 different versions of 18c XE Database. Check out his blog post for more details of what is included/excluded in each image.

I decided to go with the FULL docker image (oracle-xe-full), just because I use most of the DB features and like to play around with the rest. If you just want a Database then go with the medium or small sized docker images

Docker Image Name Description
oracle-xe-full Contains full Oracle 18c XE Database installation. Containing all the bells and whistles. This is the largest docker image.
oralce-xeThis medium sized image has some things stripped out from the installation. Contains most of the functionality from the full image, but some of the edge case functionality has been removed.
oracle-xe-slimThis is the smallest image and has a lot of extra features remove. Probably only suitable if you want a basic Database.

Before you run the following commands you will need to install Docker.

Step 1: Download the 18c XE image

docker pull gvenzl/oracle-xe

Step 2: Check the image exist in your Docker env

docker images

Step 3: Run the image

docker run -d -p 1521:1521 -e ORACLE_PASSWORD=SysPassword1 -v oracle-volume:/opt/oracle/oradata gvenzl/oracle-xe

This command remaps the 1521 port to local 1521, changed/set the password and gives volume details to all any changes to the database and image to be persisted i.e. when you restart the image your previous work will be there

Step 4: Rename image [you can skip this step if you want. I just wanted a different name]

docker ps
docker rename d95a3db95747 18XE 

NB: Use the code/reference for your docker image. It will be different to mine (d95a3db95747)

Step 5: Connect to the Database as DBA/Admin schema

You can use SQL*Plus or some other client side tool to connect to the database

sqlplus system/SysPassword1@//localhost/XEPDB1

A simple query to check we are connected to the database.

select username from dba_users;

Step 6: Create your own (developer) Schema

create user demo identified by demo quota unlimited on users;
grant connect, resource to demo;

Exit SQL*Plus and log back into the Database using the DEMO schema you just created.

connect demo/demo@//localhost/XEPDB1

Step 7: Create a Table and enter some Records

create table test (col1 NUMBER, col2 VARCHAR2(10));
insert into test values (1, 'Brendan');

Step 8: Test the Docker image persists the data

Stop the docker image

docker stop 18XE

Check it is no-longer running

docker ps

Nothing will be displayed

Step 9: Start the 18XE Docker image and Check data was persisted

docker start 18XE
docker ps

You should see the docker image is running

sqlplus demo/demo@//localhost/XEPDB1
select table_name from user_tables;
select * from test;

These last two commands should show the table and the record in the table. This means the data was persisted.

All done you now have a working Docker image of Oracle 18XE running.

Just remember to stop the image when you don’t need it on your computer. These will save you some resource usage.

A selection of Hadoop Docker Images

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When it comes to big data platforms one of the biggest challenges is getting a test environment setup where you can try out the various components. There are a few approaches to doing this this. The first is to setup your own virtual machine or some other container with the software. But this can be challenging to get just a handful of big data applications/software to work on one machine.

But there is an alternative approach. You can use one of the preconfigured environments from the likes of AWS, Google, Azure, Oracle, etc. But in most cases these come with a cost. Maybe not in the beginning but after a little us you will need to start handing over some dollars. But these require you to have access to the cloud i.e. wifi, to run these. Again not always possible!

So what if you want to have a local big data and Hadoop environment on your own PC or laptop or in your home or office test lab? There ware a lot of Virtual Machines available. But most of these have a sizeable hardware requirement. Particularly for memory, with many requiring 16+G of RAM ! Although in more recent times this might not be a problem but for many it still is. Your machines do not have that amount or your machine doesn’t allow you to upgrade.

What can you do?

Have you considered using Docker? There are many different Hadoop Docker images available and these are not as resource or hardware hungry, unlike the Virtual Machines.

Here is a list of some that I’ve tried out and you might find them useful.

Cloudera QuickStart image

You may have tried their VM, now go dry the Cloudera QuickStart docker image.

Read about it here.

Check our Docker Hub for lots and lots of images.

Docker Hub is not the only place to get Hadoop Docker images. There are lots on GitHub
Just do a quick Google search to find the many, many, many images.

These Docker Hadoop images are a great way for you to try out these Big Data platforms and environments with the minimum of resources.

 

Setting up Oracle Database on Docker

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A couple of days ago it was announced that several Oracle images were available on the Docker Store.

This is by far the easiest Oracle Database install I have every done !

You simply have no excuse now for not installing and using an Oracle Database. Just go and do it now!

The following steps outlines what I did you get an Oracle 12.1c Database.

1. Download and Install Docker

There isn’t much to say here. Just go to the Docker website, select the version docker for your OS, and just install it.

You will probably need to create an account with Docker.

NewImage

After Docker is installed it will automatically start and and will be placed in your system tray etc so that it will automatically start each time you restart your laptop/PC.

2. Adjust the memory allocation

From the system tray open the Docker application. In the Advanced section allocate a bit more memory. This will just make things run a bit smoother. Be a bit careful on how much to allocate.

NewImage

In the General section check the tick-box for automatically backing up Docker VMs. This is assuming you have back-ups setup, for example with Time Machine or something similar.

3. Download & Edit the Oracle Docker environment File

On the Oracle Database download Docker webpage, click on the the Get Content button.

NewImage

You will have to enter some details like your name, company, job title and phone number, then click on the check-box, before clicking on the Get Content button. All of this is necessary for the Oracle License agreement.

The next screen lists the Docker Services and Partner Services that you have signed up for.

NewImage

Click on the Setup button to go to the webpage that contains some of the setup instructions.

NewImage

The first thing you need to do is to copy the sample Environment File. Create a new file on your laptop/desktop and paste the environment file contents into the file. There are a few edits you need to make to this file. The following is the edited/modified Environment file that I created and used. The changes are for DB_SID, DB_PASSWD and DB_DOMAIN.

####################################################################
## Copyright(c) Oracle Corporation 1998,2016. All rights reserved.##
##                                                                ##
##                   Docker OL7 db12c dat file                    ##
##                                                                ##
####################################################################

##------------------------------------------------------------------
## Specify the basic DB parameters
##------------------------------------------------------------------

## db sid (name)
## default : ORCL
## cannot be longer than 8 characters

DB_SID=ORCL

## db passwd
## default : Oracle

DB_PASSWD=oracle

## db domain
## default : localdomain

DB_DOMAIN=localdomain

## db bundle
## default : basic
## valid : basic / high / extreme
## (high and extreme are only available for enterprise edition)

DB_BUNDLE=basic

## end

I called this file ‘docker_ora_db.txt

4. Download and Configure Oracle Database for Docker

The following command will download and configure the docker image

$ docker run -d --env-file ./docker_ora_db.txt -p 1527:1521 -p 5507:5500 -it --name dockerDB121 --shm-size="8g" store/oracle/database-enterprise:12.1.0.2

This command will create a container called ‘dockerDB121’. The 121 at the end indicate the version number of the Oracle Database. If you end up with a number of containers containing different versions of the Oracle Database then you need some way of distinguishing them.

Take note of the port mapping in the above command, as you will need this information later.

When you run this command, the docker image will be downloaded from the docker website, will be unzipped and the container setup and ready to run.

NewImage

5. Log-in and Finish the configuration

Although the docker container has been setup, there is still a database configuration to complete. The following images shows that the new containers is there.

NewImage

To complete the Database setup, you will need to log into the Docker container.

docker exec -it dockerDB121 /bin/bash

Then run the Oracle Database setup and startup script (as the root user).

/bin/bash /home/oracle/setup/dockerInit.sh

NewImage

This script can take a few minutes to run. On my laptop it took about 2 minutes.

When this is finished the terminal session will open as this script goes into a look.

To run any other commands in the container you will need to open another terminal session and connect to the Docker container. So go open one now.

6. Log into the Database in Docker

In a new terminal window, connect to the Docker container and then switch to the oracle user.

su - oracle

Check that the Oracle Database processes are running (ps -ef) and then connect as SYSDBA.

sqlplus / as sysdba

Let’s check out the Database.

SQL> select name,DB_UNIQUE_NAME from v$database;

NAME	  DB_UNIQUE_NAME
--------- ------------------------------
ORCL	  ORCL


SQL> SELECT v.name, v.open_mode, NVL(v.restricted, 'n/a') "RESTRICTED", d.status
     FROM v$pdbs v, dba_pdbs d
     WHERE v.guid = d.guid
     ORDER BY v.create_scn;


NAME			       OPEN_MODE  RES STATUS
------------------------------ ---------- --- ---------
PDB$SEED		       READ ONLY  NO  NORMAL
PDB1			       READ WRITE NO  NORMAL

And the tnsnames.ora file contains the following:

ORCL =   (DESCRIPTION = 
    (ADDRESS = (PROTOCOL = TCP)(HOST = 0.0.0.0)(PORT = 1521))
     (CONNECT_DATA = 
      (SERVER = DEDICATED)
       (SERVICE_NAME = ORCL.localdomain)     )   )

PDB1 =   (DESCRIPTION =
     (ADDRESS = (PROTOCOL = TCP)(HOST = 0.0.0.0)(PORT = 1521))
      (CONNECT_DATA =
       (SERVER = DEDICATED)
       (SERVICE_NAME = PDB1.localdomain)     )   )

You are now up an running with an Docker container running an Oracle 12.1 Databases.

7. Configure SQL Developer (on Client) to

access the Oracle Database on Docker

You can not use your client tools to connect to the Oracle Database in a Docker Container. Here is a connection setup in SQL Developer.

NewImage

Remember that port number mapping I mentioned in step 4 above. See in this SQL Developer connection that the port number is 1527.

Thats it. How easy is that. You now have a fully configured Oracle 12.1c Enterprise Edition Database to play with, to have fun and to explore all the wonderful features of the Oracle Database.