Before You Begin
This tutorial shows you how to log in to the Oracle Autonomous Data Warehouse console, create a service instance, and create a user. This tutorial takes approximately 15 minutes to complete.
Oracle Autonomous Data Warehouse Tutorial Series
This is the first in a series of tutorials for Oracle Autonomous Data Warehouse. Perform the tutorials sequentially.
- Provisioning Autonomous Data Warehouse Cloud
- Connecting SQL Developer and Creating Tables
- Loading Your Data
- Running a Query on Sample Data
- Using Oracle Machine Learning with Autonomous Data Warehouse Cloud (set of additional tutorials)
Background
Oracle Autonomous Data Warehouse is fully-managed, offers high-performance, and is elastic. You have all of the performance of the market-leading Oracle Database in a fully-managed environment that is tuned and optimized for data warehouse workloads. Autonomous Data Warehouse supports all standard SQL and business intelligence (BI) tools and delivers scalable analytic query performance.
In this tutorial, you create a service instance, connect SQL Developer to Autonomous Data Warehouse, and create a database end user to use in all subsequent tutorials.
What Do You Need?
- Subscription to Oracle Autonomous Data Warehouse
- Your Oracle Cloud user name,
password, and identity domain
Locate your account details in the New Account Information email that you received from Oracle Cloud when your user account was set up. If you don't have your New Account Information email, contact your account administrator.
- Tenancy in Oracle Cloud Infrastructure, including the creation of a compartment and the setting of access to resources (see Oracle Cloud Infrastructure documentation for setting up your tenancy).
- Oracle SQL Developer (see Oracle
Technology Network download site). Version 18.3 or
later. Versions 18.2 or later contain enhancements for key
Autonomous Data Warehouse features.
Note:
If you are a Windows user on 64-bit platform, download the 'Windows 64-bit with JDK 8 included' distribution as it includes the files necessary to run SQL Developer and connect to your Autonomous Data Warehouse database.
If you are using a SQL Developer version earlier than 18.2, see the documentation topic Connecting with Oracle SQL Developer (earlier than Version 18.2).
Create an Instance
Sign in to Autonomous Data Warehouse and create an instance.
- Sign in from https://cloud.oracle.com/home. On the Oracle Cloud page, click Sign In.
- On the Cloud Account page, enter your cloud account name
and click Next.
- Enter your User Name and Password and click
Sign In to sign in to your Oracle Cloud Account.
- If you see the Set Preferences page, enter your Language and Timezone and click OK.
- On the Cloud My Services page, click the navigation menu in
the upper left to show top level navigation choices.
- Click Services to show the available services. In the list of available services, select Autonomous Data Warehouse.
- The console for Autonomous Data Warehouse displays. You can
use the List Scope
drop-down menu to select a compartment; in this example the
SQLDev
compartment is selected. Click here for documentation on creating compartments.
This console shows no databases. If there were a long list of databases, you could filter the list by using the Filters drop-down menu to filter by the state of the databases (available, stopped, terminated, and so on.)
Click Create Autonomous Data Warehouse. - The Create Autonomous Data Warehouse dialog appears. At the
top of the dialog, select a compartment for the data warehouse
from the drop-down list. Oracle recommends that you create
this resource in a compartment other than the root.
- In the Create Autonomous Data Warehouse dialog, enter the
following information:
- Display Name - Enter a name for the data warehouse for display purposes.
- Database Name - Use letters and numbers only, starting with a letter. Maximum length is 14 characters. (Underscores not initially supported.)
- CPU Core Count - Number of CPUs for your service.
- Storage (TB) - Select your storage capacity in terabytes. It is the actual space available to your service instance, including system-related space allocations.
- Administrator Credentials - Password for ADMIN user of the service instance. The password must meet the following requirements:
- The password must be between 12 and 30 characters long and must include at least one uppercase letter, one lowercase letter, and one numeric character.
- The password cannot contain the username.
- The password cannot contain the double quote (") character.
- The password must be different from the last 4 passwords used.
- The password must not be the same password that is set less than 24 hours ago.
- License Type - Select whether you have existing licenses or if you want to subscribe to new database software licenses and the database cloud service.
- Tags - (Optional) Tagging is a metadata system
that allows you to organize and track resources within
your tenancy. Tags are composed of keys and values which
can be attached to resources.
Click Create Autonomous Data Warehouse.
- The Create Autonomous Data Warehouse dialog closes. On the
console, the State field indicates that the data warehouse is
Provisioning
. When creation is completed, the State field changes from Provisioning to Available.
Download the Credentials Zip File
Once you have created the data warehouse, download the credentials zip file for client access to that data warehouse. You will use this file in the next step, and in the next tutorial to connect SQL Developer to your Autonomous Data Warehouse.
- In the console, in the entry for your new Autonomous Data
Warehouse database, select DB Connection.
- The Database Connection dialog opens for downloading
client credentials. Click Download.
- In the Download Wallet dialog, enter an encryption
password for the wallet, confirm the password, and then
click Download.
- Click Save File, and then click OK.
- Store the zip file and make note of the password. You will
use the zip file in the next step to define a SQL Developer
connection to your Autonomous Data Warehouse database.
Note: Version 18.2.0 of SQL Developer drops the requirement to enter the Autonomous Data Warehouse keystore password and does not provide the keystore password field in the dialog for creating a connection. If using SQL Developer version 18.2.0 or newer, you do not use this password.
Define a SQL Developer Connection
Define a SQL Developer connection to your Autonomous Data
Warehouse database.
Note: If you are using a SQL Developer version earlier
than 18.2, see the documentation topic mentioned at the
beginning of this tutorial in the "Before You Begin" section,
Connecting with Oracle SQL Developer (earlier than Version
18.2).
- Open SQL Developer on your local computer. In the
Connections panel, right-click Connections
and select New
Connection.
Note:
Depending on your version of SQL Developer, do not right-click Cloud Connection or Database Schema Service Connections. That menu selection is for connecting to a different Oracle cloud service, the Oracle Database Schema Service.
- The New/Select Database Connection dialog appears. Enter the following information:
- Connection Name - Enter the name for this cloud connection.
- Username - Enter the database username. Use the default
administrator database account (
admin
) that is provided as part of the service. - Password - Enter the
admin
user's password that you or your Autonomous Data Warehouse administrator specified when creating the service instance. - Connection Type - Select Cloud Wallet.
- Configuration File - Click Browse, and select the Client Credentials zip file, downloaded from the Autonomous Data Warehouse service console by you, or given to you by your Autonomous Data Warehouse administrator.
- Service - In the drop-down menu, service selections are
prepended with database names. Select the low, medium, or
high menu item for your database. These service levels map
to the LOW, MEDIUM, and HIGH consumer groups, which
provide different levels of priority for your session.
Note: Earlier versions of SQL Developer may not support this feature. - Click Test.
Status: Success displays at the left-most bottom of the New/Select Database Connection dialog. - Click Connect.
An entry for the new connection appears under Connections.
Create a User in your Autonomous Data Warehouse Database
Once you have connected SQL Developer to your Autonomous
Data Warehouse database, use a SQL Developer worksheet to
define a create user
statement to create the
user adwc_user
. In the next tutorial, you will
create sales history tables in the adwc_user
schema and load data into these tables from an object store.
- Open a SQL Developer worksheet and run the following SQL
statements to create the user
adwc_user
, swapping in a password with the guidelines provided in the following Note section.
Note: Autonomous Data Warehouse requires strong passwords. The password you specify must meet the default password complexity rules. This database checks for the following requirements when you create or modify passwords:create user adwc_user identified by "<password>";
grant dwrole to adwc_user;
- The password must be between 12 and 30 characters long and must include at least one uppercase letter, one lowercase letter, and one numeric character.
- The password cannot contain the username.
- The password cannot be one of the last four passwords used for the same username.
- The password cannot contain the double quote (") character
Note: Autonomous Data Warehouse databases come with a pre-defined database role namedDWROLE
.
This role provides the common privileges for a database user:CREATE ANALYTIC VIEW, CREATE ATTRIBUTE DIMENSION, ALTER SESSION, CREATE HIERARCHY, CREATE JOB, CREATE MINING MODEL, CREATE PROCEDURE, CREATE SEQUENCE, CREATE SESSION, CREATE SYNONYM, CREATE TABLE, CREATE TRIGGER, CREATE TYPE, CREATE VIEW, READ,WRITE ON
directoryDATA_PUMP_DIR, EXECUTE
privilege on the PL/SQL packageDBMS_CLOUD
- In the next tutorial, "Connecting SQL Developer and Creating Tables", you will connect SQL Developer to your Autonomous Transaction Processing database as user
adwc_user
, and defineSH
tables(sales history tables from an Oracle sample schema) for that user. Later, you will load data into those tables from an Object Store.
Next Tutorial
Want to Learn More?
- Autonomous Data Warehouse website
- Documentation on how to add groups and users for Oracle Cloud Infrastructure through the Oracle Identity Cloud Service