1.7

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Input Data settings help the DataMapper read the data source and recognize data
correctly.
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Boundaries mark the start of a new record. They let you organize the data, depending on
how you want to use them.
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Data format settings define how dates, times and numbers are formatted in the data
source.
Input data settings (Delimiters)
The Input Data settings (on the Settings pane at the left) specify how the input data must be
interpreted. These settings are different for each data type. For a CSV file, for example, it is
important to specify the delimiter that separates data fields. PDF files are already delimited
naturally by pages, so the input data settings for PDF files are interpretation settings for text in
the file.
For an overview of all options, see: "Input Data" on page177.
For a CSV File
In a CSV file, data is read line by line, where each line can contain multiple fields, separated by
a delimiter. Even though CSV stands for comma-separated values, fields may be separated
using any character, including commas, tabs, semicolons, and pipes.
The text delimiter is used to wrap around each field just in case the field values contain the
field separator. This ensures that, for example, the field “Smith; John” is not interpreted as two
fields, even if the field delimiter is the semicolon.
For an explanation of all the options, see: "CSV file Input Data settings" on page177.
For a PDF File
PDF files have a clear and unmovable delimiter: pages. So, the Input Data settings are not
used to set delimiters. Instead, these options determine how words, lines and paragraphs are
detected when you select content in the PDF to extract data from it.
For an explanation of all the options, see: "PDF file Input Data settings" on page178.
For a database
Databases all return the same type of information. Therefore the Input Data options for a
database refer to the tables inside the database. Clicking on any of the tables shows the first
line of the data in that table.
If the database supports stored procedures, including inner joins, grouping and sorting, you can
use custom SQL to make a selection from the database, using whatever language the database
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