Altair® Panopticon

 

Creating Data Extract from Text

The Text connector allows the retrieval and processing of delimited Text files (such as CSV, TSV, and so on), either from a disk or from a defined URL.

Steps:

1.     On the New Data Extract page, select Text in the Connector drop-down list.

2.     Select the Text File Source.

The standard settings controlling how the text file is parsed, is listed.

These include:

Property

Description

Skip First N Rows

Specifies the number of rows that will be skipped.

Data Type Discovery

Specifies how many rows from the text file should be used when automatically determining the data types of the resulting columns.

Decimal Separator

Select either the dot (.) or comma (,) as the decimal separator.

Text Qualifier

Specifies if fields are enclosed by text qualifiers, and if present to ignore any column delimiters within these text qualifiers.

Column Delimiter

Specifies the column delimiter to be used when parsing the text file.

First Row Headings

Determines if the first row should specify the retrieved column headings, and not be used in data discovery.

 

3.     Click  to the fetch the schema based on the connection details. Consequently, the list of columns with the data type found from inspecting the first ‘n’ rows of the input data source is populated and the Save button is enabled.

4.     You can also opt to load or save a copy of the column definition.

5.     Click . A new column entry displays. Enter or select the following properties:

Property

Description

Name

The column name of the source schema.

Column Index

The column index controls the position of a column. Must be >= 0.

Type

The data type of the column. Can be a Text, Numeric, or Time

Date Format

The format when the data type is Time.

Enabled

Determines whether the message should be processed.

 

To delete a column, check its  or all the column entries, check the topmost , then click .

6.     Click  to save and display the details of the data extract.

7.     Click  then  to display the data preview.