1.5
Table Of Contents
- Table of Contents
- Welcome to PlanetPress Connect 1.5
- Setup And Configuration
- System and Hardware Considerations
- Installation and Activation
- Installation Pre-Requisites
- User accounts and security
- The Importance of User Credentials on Installing and Running PlanetPress Connect
- Installing PlanetPress Connect on Machines without Internet Access
- Installation Wizard
- How to Run Connect Installer in Silent Mode
- Activating a License
- Migrating to a new computer
- Information about PlanetPress Workflow 8
- Upgrading from PlanetPress Suite 7.6
- What do I gain by upgrading to PlanetPress Connect?
- Server Settings
- Uninstalling
- The DataMapper Module
- Basics
- Data Mapping Configuration
- Data Mapping Workflow
- The Data Model
- Data Source (Settings)
- DataMapper User Interface
- Defining Boolean Values
- Defining String Values
- Building String Values
- Defining Integer Values
- Building Integer Values
- Defining Float Values
- Building Float Values
- Defining Currency Values
- Building Currency Values
- Extracting dates
- Entering a date using JavaScript
- Defining Object Values
- DataMapper Scripts API
- The Designer
- Generating output
- Print output
- Email output
- Web output
- Optimizing a template
- Generating Print output
- Saving Printing options in Printing Presets.
- Connect Printing options that cannot be changed from within the Printer Wizard.
- Print Using Standard Print Output Settings
- Print Using Advanced Printer Wizard
- Adding print output models to the Print Wizard
- Splitting printing into more than one file
- Variables available in the Output
- Generating Fax output
- Generating Tags for Image Output
- Generating Email output
- Generating Web output
- Release Notes
- Copyright Information
- Legal Notices and Acknowledgments
reference later on for more information.
Imagine you are a classic rock fan and you want to extract the data from a CSV listing of all the
albums in your collection. Your goal is to extract records that change whenever the artist OR
the release year changes.
Here's what the CSV looks like:
"Artist","Album","Released"
"Beatles","Abbey Road",1969
"Beatles","Yellow Submarine",1969
"Led Zeppelin","Led Zeppelin 1",1969
"Led Zeppelin","Led Zeppelin 2",1969
"Beatles","Let it be",1969
"Rolling Stones","Let it bleed",1969
"Led Zeppelin","Led Zeppelin 3",1970
"Led Zeppelin","Led Zeppelin 4",1971
"Rolling Stones","Sticky Fingers",1971
Note
The first line is just the header with the names of the CSV columns. Obviously, the data is already
sorted per year, per artist, and per album.
Your goal is to examine two values in each CSV record and to act when either changes. The
DataMapper GUI allows you to specify a On Change trigger, but you can only specify a single
field. So for instance, if you were to set the record boundary when the "Released" field
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