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Home > Data > Data Analysis > Talend Open Studio Cookbook
Talend Open Studio Cookbook
Talend Open Studio Cookbook

Talend Open Studio Cookbook: Getting familiar with Talend Open Studio will greatly enhance your data handling and integration capabilities. This is the perfect reference book for beginners and intermediates with a host of practical recipes that clarify even complex features.

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Talend Open Studio Cookbook

Chapter 2. Metadata and Schemas

This chapter contains a detailed discussion about metadata and Talend schemas and recipes that highlight some of the less used / less known features associated with schemas, along with more commonly used features, such as generic and fixed schemas:

  • Hand-cranking a built-in schema
  • Propagating schema changes
  • Creating a generic schema from existing metadata
  • Cutting and pasting schema information
  • Dropping schemas to empty components
  • Creating schemas from lists

Introduction

Managing metadata is one of the most important aspects of developing Talend jobs, and the most common form of metadata used within Talend jobs is the schema.

Schema metadata

For successful development of jobs, it is essential that the metadata defined for a data source accurately describes the format of its underlying data. Failure to correctly define the data will result in numerous errors and waste of time tracking down problems with data formats that could otherwise be avoided.

Talend provides a host of wizards for capturing metadata from a variety of data sources such as database tables, delimited files, and Excel worksheets and stores them within its built-in metadata repository.

Schemas

Talend stores metadata definitions in schemas, which may be built in to individual components or stored in its metadata repository, as shown in the following screenshot:

Schemas

In general, it is best practice to define source and target metadata using a repository schema and mid-flow metadata as a...

Hand-cranking a built-in schema

In this recipe, we are presented with a CSV file that does not have a heading row and needs to create a schema for the data. This is a basic recipe with which most readers should be familiar: however, it does provide a framework for discussion of some of the more important principles of Talend schemas.

The record we will be defining is as follows:

John Smith,27/11/1990,2012-01-10 10:24:54.953

As you can see this contains the fields; first name, last name, date of birth, timestamp, and age. Note that age is an empty string.

Getting ready

Open a new Talend Job (jo_cook_ch02_0000_handCrankedSchema), so that the right-hand palette becomes available.

How to do it…

  1. Drag a tFileInputDelimited component from the palette, and open it by double clicking it.
  2. Click the Edit Schema button (…), shown in the following screenshot, to open the schema editor:
    How to do it…
  3. Click the + button to add a column:
    How to do it…
  4. Type name into the column, and set the length to 50.
  5. Click the + button three...

Propagating schema changes

Often during development, it is necessary to change schemas by adding, removing, or re-ordering columns. This often is a very onerous task, especially if a schema is used in multiple jobs.

As discussed earlier in this chapter, storing schemas in the metadata enables the schema to be re-used. If a shared schema is changed, then Talend will prompt to find out if the changes should be applied to all jobs.

If the change is performed, then the next time that the job is opened, the component using the schema will normally be highlighted as in error, because the schema no longer matches.

Talend provides mechanisms within the schema dialogues that takes some of the pain away from ensuring that changes are assimilated into all the jobs.

Getting ready

Open the Talend Job jo_cook_ch02_0010_propagateSchema so that the right-hand palette becomes available. Then, from the metadata palette, open the Generic schema sc_cook_0010_genericCustomer.

How to do it…

  1. Add a new field emailAddress...

Creating a generic schema from the existing metadata

Any schema can be easily converted into a generic schema to enable it to be re-used. The following recipe shows two methods of creating generic schemas; the first from a pre-existing schema in the metadata repository and the second from a built-in schema.

How to do it…

From repository schema

  1. Open repository schema fd_cook_0020_customerDelimited that can be found in the delimited schemas section under Chapter2, ensuring that you click the metadata, rather than the parent schema.
    How to do it…
  2. Right-click metadata, and then select copy to Generic schema. This creates a schema fd_cook_0020_customerDelimited.
  3. Move the new schema to the chapter 2 folder and double click it to edit it.
  4. Change the name to sc_cook_0020_genericCustomer1.

From a built-in schema

  1. Open the Talend Job jo_cook_ch02_0020_builtInSchema and open the tFileOutput Delimited component.
  2. Click the highlighted button, shown in the following screenshot:
    How to do it…
  3. This will open a windows file save dialogue...

Cutting and pasting schema information

This technique is a real time saver, but isn’t always immediately obvious, because the schema dialogue does not contain a right-click option.

Getting ready

Make a copy of the job jo_cook_ch02_0020_builtInSchema, rename it to jo_cook_ch02_0030_copySchema, and open the new job.

How to do it…

  1. Drag a tFileOutputExcel component from the right-hand palette.
  2. Open tFileOutputDelimited, and then open the schema.
  3. Click the left-hand panel and press Ctrl+A to select all the columns.
  4. Press Ctrl+C to copy the highlighted columns.
  5. Open the tFileOutputExcel component, and then open the schema. It should be blank.
  6. Press CTRL+V to paste the columns.

How it works…

Talend allows the standard windows shortcut keys to be used to cut and paste column information between schemas.

There’s more…

You can also use Ctrl+left mouse button to highlight individual columns and Shift+left mouse button to highlight a range as per the usual Windows conventions...

Introduction

Managing metadata is one of the most important aspects of developing Talend jobs, and the most common form of metadata used within Talend jobs is the schema.

Schema metadata

For successful development of jobs, it is essential that the metadata defined for a data source accurately describes the format of its underlying data. Failure to correctly define the data will result in numerous errors and waste of time tracking down problems with data formats that could otherwise be avoided.

Talend provides a host of wizards for capturing metadata from a variety of data sources such as database tables, delimited files, and Excel worksheets and stores them within its built-in metadata repository.

Schemas

Talend stores metadata definitions in schemas, which may be built in to individual components or stored in its metadata repository, as shown in the following screenshot:

In general, it is best practice to define source and target metadata using a repository schema and mid-flow metadata as a Built...

Hand-cranking a built-in schema

In this recipe, we are presented with a CSV file that does not have a heading row and needs to create a schema for the data. This is a basic recipe with which most readers should be familiar: however, it does provide a framework for discussion of some of the more important principles of Talend schemas.

The record we will be defining is as follows:

John Smith,27/11/1990,2012-01-10 10:24:54.953

As you can see this contains the fields; first name, last name, date of birth, timestamp, and age. Note that age is an empty string.

Getting ready

Open a new Talend Job (jo_cook_ch02_0000_handCrankedSchema), so that the right-hand palette becomes available.

How to do it…

  1. Drag a tFileInputDelimited component from the palette, and open it by double clicking it.

  2. Click the Edit Schema button (…), shown in the following screenshot, to open the schema editor:

  3. Click the + button to add a column:

  4. Type name into the column, and set the length to 50.

  5. Click the + button three more times to...

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Key benefits

  • A collection of exercises covering all development aspects including schemas, mapping using tMap, database and working with files
  • Get your code ready for the production environment by including the use of contexts and scheduling of jobs in Talend
  • Includes exercises for debugging and testing of code
  • Many additional hints and tips regarding the exercises and their real-life applications

Description

Data integration is a key component of an organization's technical strategy, yet historically the tools have been very expensive. Talend Open Studio is the world's leading open source data integration product and has played a huge part in making open source data integration a popular choice for businesses worldwide.This book is a welcome addition to the small but growing library of Talend Open Studio resources. From working with schemas to creating and validating test data, to scheduling your Talend code, you will get acquainted with the various Talend database handling techniques. Each recipe is designed to provide the key learning point in a short, simple and effective manner.This comprehensive guide provides practical exercises that cover all areas of the Talend development lifecycle including development, testing, debugging and deployment. The book delivers design patterns, hints, tips, and advice in a series of short and focused exercises that can be approached as a reference for more seasoned developers or as a series of useful learning tutorials for the beginner.The book covers the basics in terms of schema usage and mappings, along with dedicated sections that will allow you to get more from tMap, files, databases and XML. Geared towards the whole lifecycle, the Talend Open Studio Cookbook shows readers great ways to handle everyday tasks, and provides an insight into all areas of a development cycle including coding, testing, and debugging of code to provide start-to-finish coverage of the product.

Who is this book for?

Talend Open Studio Cookbook is principally aimed at relative beginners and intermediate Talend Developers who have used the product to perform some simple integration tasks, possibly via a training course or beginner's tutorials.

What you will learn

  • Manipulate schemas quickly and easily
  • Validate your data and create test data
  • Use Java code within Talend
  • Debug your Talend code
  • Use tMap effectively
  • Create and manage files including complex file formats
  • Access queues, web services, and XML within Talend
  • Deploy, as well as schedule your Talend code

Product Details

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Publication date : Oct 25, 2013
Length: 270 pages
Edition : 1st
Language : English
ISBN-13 : 9781782167273
Vendor :
Talend
Category :
Data
Languages :
Java
Concepts :
Data Analysis
Tools :
Talend

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Publication date : Oct 25, 2013
Length: 270 pages
Edition : 1st
Language : English
ISBN-13 : 9781782167273
Vendor :
Talend
Category :
Data
Languages :
Java
Concepts :
Data Analysis
Tools :
Talend

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Table of Contents

15 Chapters
1. Introduction and General Principles Chevron down icon Chevron up icon
1. Introduction and General Principles
Before you begin
Installing the software
Enabling tHashInput and tHashOutput
2. Metadata and Schemas Chevron down icon Chevron up icon
2. Metadata and Schemas
Introduction
Hand-cranking a built-in schema
Propagating schema changes
Creating a generic schema from the existing metadata
Cutting and pasting schema information
Dropping schemas to empty components
Creating schemas from lists
3. Validating Data Chevron down icon Chevron up icon
3. Validating Data
Introduction
Enabling and disabling reject flows
Gathering all rejects prior to killing a job
Validating against the schema
Rejecting rows using tMap
Checking a column against a list of allowed values
Checking a column against a lookup
Creating validation rules for more complex requirements
Creating binary error codes to store multiple test results
4. Mapping Data Chevron down icon Chevron up icon
4. Mapping Data
Introduction
Simple mapping and tMap time savers
Creating tMap expressions
Using the ternary operator for conditional logic
Using intermediate variables in tMap
Filtering input rows
Splitting an input row into multiple outputs based on input conditions
Joining data using tMap
Hierarchical joins using tMap
Using reload at each row to process real-time / near real-time data
5. Using Java in Talend Chevron down icon Chevron up icon
5. Using Java in Talend
Introduction
Performing one-off pieces of logic using tJava
Setting the context and globalMap variables using tJava
Adding complex logic into a flow using tJavaRow
Creating pseudo components using tJavaFlex
Creating custom functions using code routines
Importing JAR files to allow use of external Java classes
6. Managing Context Variables Chevron down icon Chevron up icon
6. Managing Context Variables
Introduction
Creating a context group
Adding a context group to your job
Adding contexts to a context group
Using tContextLoad to load contexts
Using implicit context loading to load contexts
Turning implicit context loading on and off in a job
Setting the context file location in the operating system
7. Working with Databases Chevron down icon Chevron up icon
7. Working with Databases
Introduction
Setting up a database connection
Importing the table schemas
Reading from database tables
Using context and globalMap variables in SQL queries
Printing your input query
Writing to a database table
Printing your output query
Managing database sessions
Passing a session to a child job
Selecting different fields and keys for insert, update, and delete
Capturing individual rejects and errors
Database and table management
Managing surrogate keys for parent and child tables
Rewritable lookups using an in-process database
8. Managing Files Chevron down icon Chevron up icon
8. Managing Files
Introduction
Appending records to a file
Reading rows using a regular expression
Using temporary files
Storing intermediate data in the memory using tHashMap
Reading headers and trailers using tMap
Reading headers and trailers with no identifiers
Using the information in the header and trailer
Adding a header and trailer to a file
Moving, copying, renaming, and deleting files and folders
Capturing file information
Processing multiple files at once
Processing control/validation files
Creating and writing files depending on the input data
9. Working with XML, Queues, and Web Services Chevron down icon Chevron up icon
9. Working with XML, Queues, and Web Services
Introduction
Using tXMLMap to read XML
Using tXMLMap to create an XML document
Reading complex hierarchical XML
Writing complex XML
Calling a SOAP web service
Calling a RESTful web service
Reading and writing to a queue
Ensuring lossless queues using sessions
10. Debugging, Logging, and Testing Chevron down icon Chevron up icon
10. Debugging, Logging, and Testing
Introduction
Find the location of compilation errors using the Problems tab
Locating execution errors from the console output
Using the Talend debug mode – row-by-row execution
Using the Java debugger to debug Talend jobs
Using tLogRow to show data in a row
Using tJavaRow to display row information
Using tJava to display status messages and variables
Printing out the context
Dumping the console output to a file from within a job
Creating simple test data using tRowGenerator
Creating complex test data using tRowGenerator, tFlowToIterate, tMap, and sequences
Creating random test data using lookups
Creating test data using Excel
Testing logic – the most-used pattern
Killing a job from within tJavaRow
11. Deploying and Scheduling Talend Code Chevron down icon Chevron up icon
11. Deploying and Scheduling Talend Code
Introduction
Creating compiled executables
Using a different context
Adding command-line context parameters
Managing job dependencies
Capturing and acting on different return codes
Returning codes from a child job without tDie
Passing parameters to a child job
Executing non-Talend objects and operating system commands
12. Common Mistakes and Other Useful Hints and Tips Chevron down icon Chevron up icon
12. Common Mistakes and Other Useful Hints and Tips
Introduction
My tab is missing
Finding the code routine
Finding a new context variable
Reloads going missing at each row global variable
Dragging component globalMap variables
Some complex date formats
Capturing tMap rejects
Adding job name, project name, and other job specific information
Printing tMap variables
Stopping memory errors in Talend
A. Common Type Conversions Chevron down icon Chevron up icon
A. Common Type Conversions
B. Management of Contexts Chevron down icon Chevron up icon
B. Management of Contexts
Introduction
Manipulating contexts in Talend Open Studio
Understanding implicit context loading
Understanding tContextLoad
Manually checking and setting contexts
Index Chevron down icon Chevron up icon
Index

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Customer reviews

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  • Top Reviews
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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4
(23 Ratings)
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4 star 21.7%
3 star 4.3%
2 star 4.3%
1 star 4.3%
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Fabio Apr 21, 2014
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As Data Warehouse developer and engineer, I've been extensively used Talend for many years. Apart from the basic tutorials provided by Talend, however, my only source for learning has always been the proactive Talend online community.This book doesn't digress too much in theory and provides a full, comprehensive view on many every-day, concrete situations and their corresponding solving patterns. The learning-by-doing "recipe" approach followed by the book makes it easier to read and understand it. The book also provides a good foundation of XML principles; unfortunately lacks a chapter about the development of custom components, a scenario that is more likely to occur than expected.Prerequisites for the book are a basic knowledge of Java or any c-like object-oriented programming language, as well as a rudimentary understanding of relational concepts.I highly recommend this book for both IT experts and novices with a focus on system and data integration.​
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Reginald Joseph Nov 11, 2014
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The author has clearly articulated on the basic. A must for any beginner to Talend.
Amazon Verified review Amazon
EDWIN D GARCIA SUAREZ Oct 22, 2015
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Excellent product! I used the book for learning talend.
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RASSINOUX PHILIPPE Aug 03, 2014
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Le livre complète très bien l'aide en ligne de la suite Talend.Les fichiers d'exemples "cookbook" à charger depuis le site de l'éditeur ont été soigneusement préparés.Travailler avec ce livre est un vrai plaisir.
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Steve May 05, 2021
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Great little insider to get you moving.
Amazon Verified review Amazon

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May 2023 456 pages
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eBook
eBook
  • eBook eBook ₹799
  • Paperback Paperback ₹2978.99
₹799 ₹2382.99
₹2978.99
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About the author

Profile icon Barton
Barton
Rick Barton is a freelance consultant who has specialized in data integration and ETL for the last 13 years as part of an IT career spanning over 25 years. After gaining a degree in Computer Systems from Cardiff University, he began his career as a firmware programmer before moving into Mainframe data processing and then into ETL tools in 1999. He has provided technical consultancy to some of the UKs largest companies, including banks and telecommunications companies, and was a founding partner of a Big Data integration consultancy. Four years ago he moved back into freelance development and has been working almost exclusively with Talend Open Studio and Talend Integration Suite, on multiple projects, of various sizes, in UK. It is on these projects that he has learned many of the lessons that can be found in this, his first book.
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