When to use this Format
In fixed-length text files, each field starts and ends at the same place in every record. Otherwise, they are the same as CSV.
Use fixed-length Format when configuring a source-to-destination transformation that reads or writes fixed-length files.
To create a new fixed-length Format, go to
Connections, select the
Formats tab, click
Add Format, and type in
fixed in the
Below are the available parameters:
Fields: a comma-separated list of values, each representing the size of the fields. For example:
5,20,10,7are 4 fields with the sizes
Enclosure Character: a character used to enclose fields in. By default, only the fields that contain Delimiter will be enclosed. Enable
Always encloseto enclose all fields.
Always enclose: if this option is enabled, the system will always enclose fields in quotes (assuming that the
Enclosure Characteris configured). The default behavior is to enclose fields only if they contain the delimiter character.
Escape double-quotes: if double-quotes are used to enclose fields, then a double-quote appearing inside a field will be escaped by preceding it with another double quote.
Line Separator: a character used as a separator between lines.
Default Extension: the default extension is used when the file name doesn't have an extension. If not entered,
datis the default extension.
Ignore Byte order mark character (BOM): uncheck this option if you do not want the parser to ignore the byte order mark character (
BOM). The default is
Template: this is a template in the fixed-length text Format. If this field is not empty, Etlworks Integrator will use it to populate column names and data types.
Templateis an optional field. For example:
first-name last-name dob.
Use First Row for Data: if checked, it is assumed that the file doesn't have a
Column names compatible with SQL: convert column names to SQL-compatible column names by removing all characters, except alphanumeric and spaces.
Noname Column: the name of the column when the file does not have a header row. The column name will be the value of the
column index. Example:
Skip First Row: if this option is enabled, the system skips the first row in a file. Typically, it is used together with
Use First Row for Data.
Skip not Properly Formatted Rows: if this option is enabled, the system skips rows that do not conform to the CSV Format. For example, if a row has a different number of columns.
Skip Empty Rows: sometimes, CSV files contain completely empty rows with no values or delimiters. Etlworks Integrator can be configured to skip those rows; otherwise, it will generate an exception when reading that file.
Document has extra data columns: if this option is enabled, Etlworks Integrator will read CSV documents, even if the number of header columns is less than the number of data columns.
Start row: if this value is not empty, the system will start reading the file from the specified 1-based row and ignore previous rows.
End row: if this value is not empty, the system will stop reading the file after the specified 1-based row.
Transformation type: the default is
header. Read more about using a preprocessor to modify the contents of the source document. If
headeris selected and
Filter or Preprocessor or Headeris not empty, the header will be added at the beginning of the file, followed by an end-of-line character, followed by the actual data.
headeris selected for
Transformation type, the specified header will be added at the beginning of the file, followed by an end-of-line character, followed by the actual data.
All fields are strings: if this option is enabled (it is disabled by default), the system will create all fields with a string data type. Otherwise, it will parse the field's value and attempt to detect the data type.
Date and Time Format: a Format for timestamps (date+time).
Date Format: a Format for date (date only, no time).
Time Format: a Format for time (time only, no date).
Parse Dates: if this option is enabled, and date or time value is not recognized as one of the Formats defined above, Etlworks Integrator will try to parse it using one of the well-known date+time Formats.
Trim Strings: if this option is enabled, Etlworks Integrator will trim the leading and trailing white spaces from the value.
Treat 'null' as null: if this option is enabled, Etlworks Integrator will treat string values equal to
nullas actual nulls (no value).
Encode CLOB fields using Base64: if this option is enabled (default), Etlworks Integrator will encode fields with the CLOB data type (large TEXT fields) using the Base64 algorithm.
Remove EOL characters: if this option is enabled (default), the system will remove end-of-line (EOL) characters (
\r) from the field's value when creating a file.
: if this option is enabled (it is disabled by default) the system will strip not printable characters, such as null-character (
/0), from the data row when creating a file.
Encoding: character encoding when reading and writing CSV files.
No encodingmeans there will be no additional encoding.