Teradata Cookbook - Abhinav Khandelwal - E-Book

Teradata Cookbook E-Book

Abhinav Khandelwal

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Beschreibung

Data management and analytics simplified with Teradata

Key Features

  • Take your understanding of Teradata to the next level and build efficient data warehousing applications for your organization
  • Covers recipes on data handling, warehousing, advanced querying and the administrative tasks in Teradata.
  • Contains practical solutions to tackle common (and not-so-common) problems you might encounter in your day to day activities

Book Description

Teradata is an enterprise software company that develops and sells its eponymous relational database management system (RDBMS), which is considered to be a leading data warehousing solutions and provides data management solutions for analytics. This book will help you get all the practical information you need for the creation and implementation of your data warehousing solution using Teradata.

The book begins with recipes on quickly setting up a development environment so you can work with different types of data structuring and manipulation function. You will tackle all problems related to efficient querying, stored procedure searching, and navigation techniques. Additionally, you’ll master various administrative tasks such as user and security management, workload management, high availability, performance tuning, and monitoring.

This book is designed to take you through the best practices of performing the real daily tasks of a Teradata DBA, and will help you tackle any problem you might encounter in the process.

What you will learn

  • Understand Teradata's competitive advantage over other RDBMSs.
  • Use SQL to process data stored in Teradata tables.
  • Leverage Teradata’s available application utilities and parallelism to play with large datasets
  • Apply various performance tuning techniques to optimize the queries.
  • Acquire deeper knowledge and understanding of the Teradata Architecture.
  • Easy steps to load, archive, restore data and implement Teradata protection features
  • Gain confidence in running a wide variety of Data analytics and develop applications for the Teradata environment

Who this book is for

This book is for Database administrator's and Teradata users who are looking for a practical, one-stop resource to solve all their problems while handling their Teradata solution. If you are looking to learn the basic as well as the advanced tasks involved in Teradata querying or administration, this book will be handy. Some knowledge of relational database concepts will be helpful to get the best out of this book.

Abhinav Khandelwal has 11 years of industry experience in BI, analytics, and data warehousing. He gained a BE from GIT Sitapura, Jaipur. He is pursuing his MBA at Welingkar, Mumbai and is currently based in Melbourne. He acts as a senior consultant on BI DWH projects. He has also been in the news for his award-winning projects. For more information, you can refer to his blogs called as anonymously rave and three of kind. Contact him on Twitter at @abhi_khandu. Rajsekhar Bhamidipati has 13 years' industry experience in Teradata and DWH and gained his BTech from BPUT Rourkela. He is working in Pune with Teradata Corp as a Senior Teradata Specialist on Teradata DWH projects. He has been associated with Teradata for more than 8 years and has successfully led multiple projects in various roles, with notable success in service delivery. He leverages Teradata and related technologies in the areas of database administration, workload, performance and cloud.

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Veröffentlichungsjahr: 2018

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Teradata Cookbook

 

 

 

 

 

 

 

Over 85 recipes to implement efficient data warehousing solutions

 

 

 

 

 

 

 

 

 

 

 

Abhinav Khandelwal 
Rajsekhar Bhamidipati

 

 

 

 

 

 

 

 

 

 

 

 

BIRMINGHAM - MUMBAI

Teradata Cookbook

Copyright © 2018 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor:Amey VarangaonkarAcquisition Editor: Varsha ShettyContent Development Editor: Aaryaman SinghTechnical Editor: Dinesh ChaudharyCopy Editor: Safis EditingProject Coordinator: Manthan PatelProofreader: Safis EditingIndexer: Aishwarya GangawaneGraphics:Tania DuttaProduction Coordinator:Shantanu Zagade

First published: February 2018

Production reference: 1140218

Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK.

ISBN 978-1-78728-078-6

www.packtpub.com

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Contributors

About the authors

Abhinav Khandelwal has 11 years of industry experience in BI, analytics, and data warehousing. He gained a BE from GIT Sitapura, Jaipur. He is pursuing his MBA at Welingkar, Mumbai and is currently based in Melbourne. He acts as a senior consultant on BI DWH projects. He has also been in the news for his award-winning projects. For more information, you can refer to his blogs called as anonymously rave and three of kind. Contact him on Twitter at @abhi_khandu.

 

 

 

Thanks Maa for persuading me to take this book, and Guds and Ravi for connecting me to Packt Publishing. Moni, I got this published before you; it's your turn now! Thanks to Teradata, the world's first data warehousing company. And to my all the editors, especially Aaryaman, for being a great help throughout.

 

 

 

 

Rajsekhar Bhamidipati has 13 years' industry experience in Teradata and DWH and gained his BTech from BPUT Rourkela. He is working in Pune with Teradata Corp as a Senior Teradata Specialist on Teradata DWH projects. He has been associated with Teradata for more than 8 years and has successfully led multiple projects in various roles, with notable success in service delivery. He leverages Teradata and related technologies in the areas of database administration, workload, performance and cloud.

About the reviewer

Viswanath Kasi is a decisive and results-driven professional with more than 12 years of experience in technology and management, with Teradata DBA expertise of 7 years. His experience with esteemed clients makes him unique and his passion for technology makes him technically stronger.

 

 

 

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If you're interested in becoming an author for Packt, please visit authors.packtpub.com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea.

Table of Contents

Preface

Who this book is for

What this book covers

To get the most out of this book

Download the example code files

Download the color images

Conventions used

Get in touch

Reviews

Installation

Setting up Teradata 15.10

How to do it... 

Setting up Teradata Studio Express

Getting ready

How to do it...

Teradata on Azure

Getting ready

How to do it...

How it works...

There's more...

Defining a connection

How to do it...

Connecting to the Teradata system

How to do it...

There's more...

Using Studio tool options

Setting up Teradata SQLA

Getting ready

How to do it...

How it works...

There's more...

Configuring SQLA

Getting ready

How to do it...

How it works...

Building a query builder

How to do it...

Query builder in SQLA

Query builder in Express

Importing data

Getting started

How to do it...

In Express

Exporting data

How to do it

How it works...

There's more...

SQLs

Introduction

Writing queries

Getting ready

How to do it...

Using SQLA

Using BTEQ in Windows

How it works...

There's more...

Querying efficiently

Getting ready

How to do it...

How it works...

Explain before executing queries

Getting ready

How to do it...

How it works...

There's more...

Decoding explain

How to do it...

How it works...

There's more...

Resolving skewing data

Getting ready

How to do it...

How it works...

There's more...

See also

Resolving skew in database

Getting ready

How to do it...

How it works...

There's more...

Solving insert performance

Getting ready

How to do it...

How it works...

There's more...

Improving delete performance

Getting ready

How to do it...

How it works...

There's more...

Improving update performance

Getting ready

How to do it...

How it works...

There's more...

See also

Performing MERGE INTO

Getting ready

How to do it...

How it works...

Advanced SQL with Backup and Restore

Introduction

Backup and recovery

Exploring ordered analytic functions

Getting ready

How to do it...

How it works...

There's more...

Using CASE statements

Getting ready

How to do it...

How it works...

There's more...

Working with correlated subqueries

Getting ready

How to do it...

How it works...

There's more...

Experimenting with JSON

Getting ready

How to do it...

How it works...

There's more...

Partitioning tables column wise

Getting ready

How to do it...

How it works...

There's more...

Archiving data dictionary 

Getting ready

How to do it...

How it works...

There's more...

Archiving databases

Getting ready

How to do it...

How it works...

There's more...

Archiving PPI tables

Getting ready

How to do it...

How it works...

There's more...

Restoring a table

Getting ready

How to do it...

How it works...

There's more...

Generating a unique row number

Getting ready

How to do it...

How it works...

There's more...

All about Indexes

Introduction

Creating a partitioned primary index to improve performance

Getting ready

How to do it...

How it works...

There's more...

Creating a join index to improve performance

Getting ready

How to do it...

How it works...

There's more...

Creating a secondary index to improve performance

Getting ready

How to do it...

How it works...

There's more...

Creating a hash index to improve performance

Getting ready

How to do it...

How it works...

There's more...

Mixing Strategies – Joining of Tables

Introduction

Identifying skewness in joins

Getting ready

How to do it...

How it works...

There's more...

Identify the right columns for joins

Getting ready

How to do it...

How it works...

There's more...

Eliminating product joins

Getting ready

How to do it...

How it works...

There's more...

See also

Improving left join

Getting ready

How to do it...

How it works...

Improving Teradata joins

Getting ready

How to do it...

How it works...

Building Loading Utility – Replication and Loading

Introduction

Loading data from flat to Teradata

Getting ready

How to do it...

How it works...

There's more...

Resolving FastLoad error 2652

Getting ready

How to do it...

How it works...

There's more...

Using MultiLoad to delete

Getting ready

How to do it...

How it works...

There's more...

Resolving MLOAD error 2571

Getting ready

How to do it...

How it works...

There's more...

Resolving failure 7547

Getting ready

How to do it...

How it works...

There's more...

Upserting data using MLOAD

Getting ready

How to do it...

How it works...

There's more...

Loading data from a one Teradata Database to another

Getting ready

How to do it...

How it works...

Monitoring the better way

Introduction

Configuring the viewpoint portlet

Getting ready

How to do it...

How it works...

Identifying killer queries in viewpoint

Getting ready

How to do it...

How it works...

There's more...

Setting up viewpoint alerts

Getting ready

How to do it...

How it works...

There's more...

Changing and managing filters

Getting ready

How to do it...

How it works...

There's more...

Changing and managing throttle

Getting ready

How to do it...

How it works...

There's more...

Defining a ruleset

Getting ready

How to do it...

How it works...

Creating a TASM exception

Getting ready

How to do it...

How it works...

Collect Statistics the Better Way

Introduction

Cost-based optimizer

Evolution of statistics

How to collect statistics

Getting ready

How to do it...

How it works...

Identifying stats for a table

Getting ready

How to do it...

How it works...

There's more...

Identifying multi-column stats

Getting ready

How to do it...

How it works...

There's more...

How to collect expression stats

Getting ready

How to do it...

How it works...

There's more...

How to copy statistics

Getting ready

How to do it...

How it works...

There's more...

Using help and show to resolve query issues

Getting ready

How to do it...

How it works...

There's more...

Recommendations

Application and OPS DBA Insight

Introduction

Creating, copying, and dropping tables

Getting ready

How to do it...

How it works...

There's more...

Working with views

Getting ready

How to do it...

How it works...

There's more...

Defining workloads based on application

Getting ready

How to do it...

How it works...

There's more...

Securing passwords using Teradata Wallet

Getting ready

How to do it...

How it works...

There's more...

Shrinking your data size

Getting ready

How to do it...

How it works...

There's more...

Using query band

Getting ready

How to do it...

How it works...

DBA Insight

Introduction

Creating a Teradata database

Getting ready

How to do it...

How it works...

There's more...

Creating a Teradata database user

Getting ready

How to do it...

How it works...

There's more...

Creating profiles and assigning them to users

Getting ready

How to do it...

How it works...

There's more...

Creating a Secure Zone

Getting ready

How to do it...

How it works...

There's more...

Creating user accounts

Getting ready

How to do it...

How it works...

Investigating phantom and leftover spool issues

Getting ready

How to do it...

How it works...

There's more...

Unlocking archive HUT locks

Getting ready

How to do it...

How it works...

There's more...

Performance Tuning

Introduction

Resolving a slow or hung system

Getting ready

How to do it...

How it works...

Monitoring slow queries

Getting ready

How to do it...

How it works...

There's more...

Aborting a session from the supervisor window

Getting ready

How to do it...

How it works...

There's more...

Resolving AWT saturation

Getting ready

How to do it...

How it works...

There's more...

Identifying suspect queries

Getting ready

How to do it...

How it works...

Managing DBC space

Getting ready

How to do it...

How it works...

There's more...

See also

Optimizing queries

Getting ready

How to do it...

How it works...

See also

Troubleshooting

Introduction

Restarting the TD system

Getting ready

How to do it...

How it works...

There's more...

Insufficient memory to parse this request

Getting ready

How to do it...

How it works...

There's more...

Recovering AMP down

Getting ready

How to do it...

How it works...

There's more...

Performing scandisk on the system

Getting ready

How to do it...

How it works...

There's more...

Unlocking the DBC

Getting ready

How to do it...

How it works...

There's more...

Managing the FSG cache

Getting ready

How to do it...

How it works...

There's more...

Other Books You May Enjoy

Leave a review - let other readers know what you think

Preface

Teradata is the world's leading provider of business analytics solutions, data and analytics solutions, and hybrid cloud products and services. Its eponymous relational database management system (RDBMS), which is considered to be a leading data warehousing solution. It provides data management solutions for analytics. This book will help you get all the practical information you need to create and implement your data warehousing solution using Teradata.

The book begins with recipes on quickly setting up a development environment so that you can work with different types of data structuring and manipulation functions. You will tackle all the problems related to efficient querying, stored procedure searching, and navigation techniques. Additionally, you'll master administrative tasks such as user and security management, workload management, high availability, performance tuning, and monitoring.

This book is designed to take you through the best practices of performing real daily tasks no matter what role are you performing when dealing with Teradata. It will help you solve your problem and implement the best solution.

Who this book is for

This book is for database administrators and Teradata users who are looking for a practical, one-stop resource to solve all their problems while handling their Teradata solutions. If you are looking to learn the basics as well as advanced tasks involved in Teradata querying or administration, this book will be handy. Some knowledge of relational database concepts will be helpful to get the best out of this book.

What this book covers

Chapter 1, Installation, is about setting up the Teradata database and client utility to access the database.

Chapter 2, SQLs, teaches the basic SQL used to manage and process your data in a database.

Chapter 3, Advanced SQL with Backup and Restore, shows new and advanced SQL and explains how to back up your database.

Chapter 4, All about Indexes, resolves and improves our query performance using indexes.

Chapter 5, Mixing Strategies – Joining of Tables, shows how to improve join performance and explains how they work.

Chapter 6, Building Loading Utility – Replication and Loading, resolves utility issues and makes it work efficiently.

Chapter 7, Monitoring the better way, examines the best practices to catch and resolve performance issues on the database.

Chapter 8, Collect Statistics the Better Way, resolves query performance by collecting and managing statistics.

Chapter 9, Applications and OPS DBA Insight, identifies and resolves daily issues faced by application admins.

Chapter 10, DBA Insight, identifies and resolves daily issues faced by system admins.

Chapter 11, Performance Tuning, helps us identify, resolve, and improve query performance issues faced by database users.

Chapter 12, Troubleshooting, shows how to troubleshoot system-wide issues using database utilities.

To get the most out of this book

Readers of this book should have working knowledge of the Teradata database and SQL writing.

In order to install and connect to Teradata, r

eaders 

have to download the software mentioned by creating a free account on the Teradata developer website.

Download the example code files

You can download the example code files for this book from your account at www.packtpub.com. If you purchased this book elsewhere, you can visit www.packtpub.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

Log in or register at

www.packtpub.com

.

Select the

SUPPORT

tab.

Click on

Code Downloads & Errata

.

Enter the name of the book in the

Search

box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

WinRAR/7-Zip for Windows

Zipeg/iZip/UnRarX for Mac

7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub athttps://github.com/PacktPublishing/Teradata-Cookbook. We also have other code bundles from our rich catalog of books and videos available athttps://github.com/PacktPublishing/. Check them out!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: http://www.packtpub.com/sites/default/files/downloads/TeradataCookbook_ColorImages.pdf.

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "It went to the default CASE statement."

A block of code is set as follows:

/*Correlated query*/SELECT

Column1, Column2

FROM

Table1 Tb1

WHERE

Column1

IN

(

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

/*Aggregate CASE*/SELECT

SUM

(CASE WHEN department='IT' THEN) AS SAL_IT

SUM

(

Any command-line input or output is written as follows:

tpareset -f testing the restart command

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "JavaScript Object Notation (JSON) is a lightweight programming independent data interchange format."

Warnings or important notes appear like this.
Tips and tricks appear like this.

Get in touch

Feedback from our readers is always welcome.

General feedback: Email [email protected] and mention the book title in the subject of your message. If you have questions about any aspect of this book, please email us at [email protected].

Errata: Although we have taken every care to ensure the accuracy of our content, mistakes do happen. If you have found a mistake in this book, we would be grateful if you would report this to us. Please visit www.packtpub.com/submit-errata, selecting your book, clicking on the Errata Submission Form link, and entering the details.

Piracy: If you come across any illegal copies of our works in any form on the Internet, we would be grateful if you would provide us with the location address or website name. Please contact us at [email protected] with a link to the material.

If you are interested in becoming an author: If there is a topic that you have expertise in and you are interested in either writing or contributing to a book, please visit authors.packtpub.com.

Reviews

Please leave a review. Once you have read and used this book, why not leave a review on the site that you purchased it from? Potential readers can then see and use your unbiased opinion to make purchase decisions, we at Packt can understand what you think about our products, and our authors can see your feedback on their book. Thank you!

For more information about Packt, please visit packtpub.com.

Installation

Teradata installation is easy and straightforward. This chapter will help you in the installation of Teradata 15.10.0.07 SLES 11 for VMware (40 GB), including the monitor tool Viewpoint on 64-bit Windows 7 with 8 GB RAM.

The following recipes will be covered in this chapter:

Setting up Teradata 15.10

Setting up Teradata Studio Express

Teradata on Azure

Defining a connection

Connecting to the Teradata system

Using studio tool options

Setting up Teradata SQLA

Configuring SQLA

Building a query builder

Importing data

Exporting data

Go to http://downloads.teradata.com/download/database.

Setting up Teradata 15.10

Before we begin the installation process of our Teradata Database on a local machine, you need to install VMware workstation 12.x for Windows.

How to do it... 

Fire up the installed VMware software:

Click on 

Open

a Virtual Machine

and select the

TDExpress15.10.0.7_Sles11_40GB_vp.vmx

file from the open window prompt:

You are now ready to play the installed Teradata Database.

 

Click on the 

Play Virtual machine

link. The setup will run its course and take you to the login screen:

Login

with 

root

as the username and password. Wait for the Teradata Lab log wallpaper to show up on the desktop in the bottom-right corner:

Voila! You have successfully installed the Teradata Database on your machine. The world's best analytical and data warehouse database is now up and running on your machine as the VM image:

Our next step will be to set up a client tool that connects to the existing database instance.

Setting up Teradata Studio Express

In the current version of VMware, we are already blessed with Teradata Studio Express. You will see an icon, Teradata Studio Express; all you need to do is click on this and it will fire up the client tool.

Getting ready

What if you want to install on your local machine/desktop without VMware? It's easy, all you need to do is create a login account at http://developer.teradata.com/ and then go to the download link. Under tools, search for Teradata Studio Express.

How to do it...

 For a Windows machine:

Unzip the client tool package to your local directory.

Run

setup.exe

to launch the Teradata Studio Express installation.

Teradata Studio Express is installed in the Program Files directory.

For example,

C:\Program Files (x86)\Teradata\Client\16.00\Teradata Studio Express

.

Now, as the VMware machine is Linux OS-based, the installation file will be located in the 

/opt/teradata

directory:

Teradata Studio Express requires a JDBC connection type; it does not support ODBC like the Teradata SQL assistant. You can connect to the following databases other than Teradata using studio. To add other databases to your preferred list of databases to connect to, go to the

Preference

tab and select from the list:

Aster database

Hadoop database

DB2

SQL

Oracle

Teradata Express also has a big brother, Teradata Studio; the main difference between Express and Studio is that the latter has an administrative window to it. The native Teradata administrator tool is integrated into Studio. So, if you are a DBA or power user, you will be needing Studio.

Here are some highlights of Studio and Express:

Connection to variety of data databases

Studio has an administrative window

Copy and compare in Studio

Hadoop data transfer in Studio

Using load utilities in both

Data lab feature in both

Teradata on Azure

With growing demand to increase its footprint, Teradata is now available on the cloud. This means that customers now don't have to worry about data centers and setting up the hardware.

Teradata has availability on the cloud as follows:

Private cloud

Public cloud

Mixed cloud

With a proper subscription account, you can create your own Teradata Database on the cloud with all the capability and features you require. 

With the current setup of Azure you can only deploy a 32 node system; if you require more nodes get in touch with Teradata sales personnel.

The thing you need to note is, many things in this recipe might change over time and some of them might not be valid. As the cloud platform is under continuous change, please check your subscription type before deploying a Teradata solution. Deploying Teradata on Azure is similar; you buy Teradata hardware on premises, you need to purchase the software with various available purchase methods.

Deploying Teradata on cloud can cost you money, so be very vigilant when deploying database, as charges/fees can come as a surprise to you.

You can also deploy Teradata with all the additional products such as Viewpoint, datamover, and many others. Or you can buy these products individually; this gives you added advantages when you require flexibility.

There are many factors and parameters when you deploy the solution to the cloud, but in this recipe we will only cover how to create a Teradata Database and Viewpoint instance in Azure and make it available publicly.

Getting ready

You need to have an Azure subscription. Log in to the Azure marketplace and create a free account. It is recommended to have a subscription-based account to have enough cores available to you. Following are some prerequisites:

Pay-as-you-go subscription on your Azure account

Sufficiently high quota limits (recommended: 128 cores) in your Azure account

How to do it...

Once you are logged in to the Azure marketplace, search for Teradata, and as shown in the screenshot, select

Teradata Database

from the list:

On next window, read the terms and conditions. And after that, click on

Create

, as shown in the screenshot:

Next will be the window with the list of steps. In the first step, you need to provide a 

User name

, a

Password

, and select a 

Location

based on your requirements. Not all the

Locations

have products that you require. Click

OK

to move to step 2. Check the screenshot for details:

In step 2, select the name of your

database

, and provide the

DBC password

(keep it safe in a notepad). Also, select the flavor or

Database Tier

and

Version

of the database you want. Azure hosts the latest version Td 16.10. Click OK to move to the next step. Check the following screenshot:

The next step will be configuring your

Viewpoint

. To keep it simple, select only a single monitoring Viewpoint system. All the fields are self-explanatory. Password here will be used to log in to Viewpoint via an admin account. Check the following screenshot:

Options 4 to 8 are optional. You can either enable or disabled them as per your requirements.

In step 8, once all the configuration is done, a final validation is executed, which checks for all the parameters and cores available at your location. If all went fine, your deployment will start after you make the required purchase. Once finished with the configuration, a template will be prepared for future use. You can download the template from your database, which can be used afterwards if you want to create a same configuration system or want to use template based deployment. Check the following screenshot:

Your deployment will start, as shown in the following screenshot. It will take approximately 30 mins or so to get the system up and running. You can check the progress from the

Resource group

option from the left-hand side of the toolbar, and under the resource group you created while deploying the database. Check the following screenshot:

Now to connect our system on cloud with our local machine, we need to make system available publicly. To do this, once your system is up and running, go to

Resource groups

and select

search for database

. From the list, we will select network interface. In this option, we will enable the option to access this database publicly. Check the following screenshot:

In the settings, click on IP configurations; next, click on the IP address in the bar. For the next option displayed, select

Enabled

under

Public IP address

and click

Save

, as shown in the screenshot:

Once you have enabled the public IP, you can now give a DNS name to the IP for easy access. To enable this, search for public IP under the

type

column in your resource group. Under the 

Configuration

tab, enter the

DNS name

as seems fit and save the settings. This can be seen in the following screenshot:

Repeat the same step for enabling a public IP and assigning a DNS name for accessing Viewpoint from your local machine. 

 

Open your SQLA and enter the DNS name you grabbed from the settings, and enter the server name to create a DSN connection:

You can do the same for Viewpoint; grab the DNS as shown in the screenshot and enter it locally in your web browser. Log in using an admin account and enable the system to monitor your existing Teradata Database:

Welcome to Teradata on Azure.

How it works...

Teradata on Azure gives you the same performance as on premises. You can get same power of analytic database as you get from an on-premises database. Once on the cloud you can configure your system and can take advantage of the additional Azure applications, as well, to monitor and create system alerts.

If you are stuck with any of the issues when performing deployment, it is advisable to contact the Azure help desk via your dashboard. A ticket will be created and the issue will be resolved based on your subscription type:

There's more...

Once you deploy your Teradata Database, from time to time you need to upgrade or apply patches to the database. You need to download these from the Teradata access portal and, based on your license tiers, Teradata engineering will help you.

There are four license tiers available as of now:

Developer

: With low performance

Base

: With simple and middle-level performance

Advance

: With high-performance workloads and better performance

Enterprise

: With full capability and enterprise-level performance

Defining a connection

Connect better! In this case, we will connect to the Teradata Express VMware machine, which is on the desktop PC, using Teradata Studio Express. However, in the real world, Teradata System(s) are located in safe data centers and you would need the IP address(es) of the system.

How to do it...

We will be establishing a JDBC data connection to a local database:

Click on

Database Connection

,

New...

:

Select

Teradata Database

from the connection profile screen and provide a name for the connection:

Enter

localhost

in the

Database Server Name

. When doing a connection to a real-world database, provide an IP or a hostname here. The 

User Name

and

Password

will be 

dbc

:

If your site/client is using an LDAP to log on, you need to choose an LDAP mechanism and enter your LDAP credentials.

Click on

Test Connection

to ensure connectivity.

You are now connected to the Teradata Database; start firing up your queries using SLQ Editor.

Connecting to the Teradata system

Now, before starting up with our very first query, you need to know that express works in the ANSI TMODE. You need to change to TERA mode manually. 

Additionally, you can have a multiple connections to the same database connection or a different one.

TERADATA MODE is not Case sensitive, where as ANSI MODE is CASE sensitive. Also, in TERADATA MODE each transaction is committed implicitly and in ANSI MODE transaction has to be committed explicitly.

How to do it...

Let's execute our very first query:

/*Sample query*/sel * from dbc.dbcinfo;

The output of the preceding query will give us the current version of the Teradata Database system. Yes, we are on

15.10.03.07

:

This is a heavy tool, so it will consume more resources from your PC compared to the handy and breezy SQL Assistant. We'll be exploring SQL Assistant in the later part of this chapter.

There's more...

Humans and software—we judge them on the basis of their characteristics. Let's explore some of the important options available with Teradata Studio Express.

Using Studio tool options

Here are some of the tool options that we will cover:

SQL compare

: Comparing two text documents is the basic necessity of the coding community. There are many tools for this job. However, when you have a built-in feature for it, you don't need to go anywhere else. You ask how to use it? Click on the

Project Explorer

tab (next to the

Data Explorer

tab). Right-click on the SQL tab and create SQL text files that you need to compare. Select both files and select the

Compare With

|

Each Other

option. The text that is different will be highlighted and shown:

Different text highlighted in the Text Compare  

Code assist and syntax checking: 

Forgot the names of the tables in the database, a column name, or the syntax of your statement? Express will prompt as you type. Type

EXEC

for macro execution with the code assist

ON

and you will get a series of options that will go with the main command. Now, when you write a database name followed by a dot, it will give you a list of tables to choose from that database:

Object Viewer:

This works in a similar to the traditional tool SQL Assistant; however, it can help

 

to get more details for your object of interest. If you have Studio, it will have even more options for admin use. Right-click on any object from the Explorer. You will see all the options affiliated with the object you need:

Options affiliated with the selected option

There are many other options at your disposal that you can explore.

Setting up Teradata SQLA

We will now turn our focus to the traditional but easy to use tool, SQL Assistant (SQLA). We now have a SQLA Java version just like Teradata Studio or Teradata Studio Express.

Getting ready

For SQLA to work, you need to download it from the developer.teradata.com website and download Teradata Tools and Utilities, also known as TTU. Once downloaded and installed, start making the connection using ODBC, .NET, or JDBC.

SQLA can informally be referred to as a lightweight version of Studio or Express; you will find it easier to navigate and use.

 Here, we will use SQLA 16.0. It is highly recommended that you use the TTU version that matches or is higher than the major release version number of the Teradata Database that you intend to connect with. So, if you are on Teradata Database 15.10, use TTU 15.10 or 16. TTU 13.10 is not recommended. Now that we have this covered, let's move on to the connection.

How to do it...

Use the following steps to establish a connection:

Click on the plug icon in the top-left corner; now you can either select file data source or machine data source.

Click on

New...

if you don't have a connection file. Select user or system data source:

Then select the option of

Teradata Database ODBC driver 16.00

; after this, you will see the screen for providing the name of your data connection and source IP.

Enter your credentials; you have the option to save the password if you don't want to enter it every time you connect to the database: 

Wouldn't it be great to have an option to run SQL using the command-line interface with SQLA?

How it works...

Teradata SQLA allows you to connect to a data source using the ODBC and .NET framework. When you install SQLA from TTU toolkit, make sure to check all the options. You will have two executables:

TTU_BASE

 

has the following:

ODBC driver

BTEQ

All the loading tools, such as fastexport, fastload, and many others

Named pipe modules

Websphere access modules

.NET data provider

C preprocessor 2

Tearadata adminstrator

SQLA

Teradata Wallet and many more

TTU_DBM

 

has the following:

Index wizard

BTEQ

ODBC driver

Query scheduler admin, client, server

TSET

Workload analyzer

Visual explain

Teradata Wallet

There's more...

Here are some shortcuts to make your daily job easier:

F2

: It will open query builder, with syntax for all SQL queries

F5

: Execute SQL query

F6

: Explain plan for SQL query

F9

: Execute SQL queries in parallel

F10

: Abort SQL query

F11

: Display last error encountered

Ctrl

+

N

: New SQL query window

Ctrl

+

Q

: Format SQL query

Ctrl

+

U

: Convert to UPPERCASE

Ctrl

+

H

: Find and replace

Configuring SQLA

Once you have the SQLA all fired up, the next thing we want is to configure the settings. SQLA comes with some default settings that you might want to change. For example, every time you execute the query, you may want to preserve the previous ruleset. The default setting has a habit of closing the old ruleset.

In this recipe we will change the SQLA settings to better ones.

Getting ready

You need to open the SQLA.

How to do it...

Open SQLA.

To change the behavior of the

resultset

, click on

Tools

|

Options ...

, highlighted in the following screenshot:

From the pop-up window, click on the 

Query

tab, as highlighted in the following screenshot:

Next, uncheck the following boxes as shown in step 1; option 1 will make sure that your old answer set is not closed when you are submitting your query. Tick the 7; option will help you execute highlighted queries when you have multiple queries in your window:

There are many other options that, if you want, you can check and uncheck.

How it works...

SQLA is a simple and efficient tool that helps users with their daily work. With better configuration, this tool can be used effectively.

SQLA also provides a way for you to automate your queries from a Windows machine. This recipe won't be covering the full process, but here are some commands that you can use to automate the scripts/jobs.

To execute SQLA from the command prompt, use the following:

Enter the following command on Run:

Sqla -c cookbook -f "c:\workbook\dbc.sql” -e "c:\workbook\resultset\dbc.log"

The

-c

cookbook is used to establish a connection to the cookbook server

-f "c:\workbook\dbc.sql"

opens a file in the given path directly to SQL Assistant

-e "c:\workbook\resultset\dbc.log"

is used to export the

resultset

to the given file

This will open SQLA, execute the queries, and close it afterwards. This is useful to schedule your jobs/queries on Windows machines.

Building a query builder

Query builder is your quick reference guide to SQL syntax. It not only lets you use its own SQLs, but also provides you with the option to add your own along with editing the existing ones.

How to do it...

Query builder is available both in SQLA and Teradata Studio Express. Express query builder is more interactive and has drag-and-drop features. Let's first cover SQLA, followed by Studio Express.

Query builder in SQLA

Here is how you can proceed with query builder in SQLA:

Query builder in SQLA is under the

Help

tab, or you can press

F2

. Here, you can click on any existing command or browse for the one you need. 

You can also add frequently used queries in query builder. Click on

+

 as shown in the following screenshot and add the queries that you need most, so that you don't have to search for them: 

Query builder in Express

Here is how to proceed with query builder in Express:

In express, you can edit an existing query using the query builder. Selecting the query in the SQL Editor, right-click and select the

Edit in Query Builder

option:

.

Once you click on the

Edit

option, your query will be opened in a new window with many other options. Here, you can add new tables to the existing query, creating a relationship between them. There is also a tab that gives you options to put conditions (

where

,

or

,

and

) in queries. You can also add the group by clause; refer to the screenshot for details:

There is an option to change the statement type when you click on the statement box.

Importing data

Let's get the ball rolling now.

We have had Teradata Studio Express and SQLA up and running for a while now. It is time to load data into the Teradata Database.

Now, there are many ways to do this, but, for simplicity, I will be importing data via Excel using the GUI option in Teradata Studio Express. You can copy the table data from Teradata to a data lab just by dragging the source table from the data lab view. The datalab copy wizard helps you through step by step.

A data lab is a separate dedicated work space, also known as a sandbox, sandpit or a test area.

You can get the dataset from various websites; there are tons of websites giving free datasets for analysis.

Getting started

The following are the prerequisites to import the data:

Create a new user, for example,

Mike

.

Create a new database, for example,

TestDb

.

Allocate space to the new database.

Grant appropriate access rights to the new database for the new user.

 

Create a table DDL under this database with the same column layout as the import file:

How to do it...

Let's begin with importing data using Studio first and then we will move on to SQLA. The following DDL was used to create the table in the new database. Now load the data from the external file. The following steps allow you to do so:

Go to data explorer. 

Search for the database under which the required table is located:

Explore the database.

 

Right-click on the table, 

Name

|

Data

|

Load Data

:

The Wizard will come up; select the source as

External File

: