This file documents version 0.3.4 of ffe, a flat file extractor.
Copyright © 2014 Timo Savinen
Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies.Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one.
Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions.
The ffe is a program to extract fields from text and binary flat files and to print them in different formats. The input file structure and printing definitions are specified in a configuration file, which is always required. Default configuration file is ~/.fferc (ffe.rc in windows).
ffe is a command line tool developed for GNU/Linux and UNIX systems. ffe can read from standard input and write to standard output, so it can be used as a part of a pipeline.
There is also binary distribution for windows.
One example of using ffe for printing personnel information in XML format from fixed length flat file:
$ cat personnel john Ripper 23 Scott Tiger 45 Mary Moore 41 $
A file personnel contains three fixed length fields: ‘FirstName’, ‘LastName’ and ‘Age’, their respective lengths are 9,13 and 2.
In order to print data above in XML, following configuration file must be available:
$cat personnel.fferc structure personel { type fixed output xml record person { field FirstName 9 field LastName 13 field Age 2 } } output xml { file_header "<?xml version=\"1.0\" encoding=\"ISO-8859-1\"?>\n" data "<%n>%t</%n>\n" record_header "<%r>\n" record_trailer "</%r>\n" indent " " } $
Using ffe:
$ffe -c personnel.fferc personnel <?xml version="1.0" encoding="ISO-8859-1"?> <person> <FirstName>john</FirstName> <LastName>Ripper</LastName> <Age>23</Age> </person> <person> <FirstName>Scott</FirstName> <LastName>Tiger</LastName> <Age>45</Age> </person> <person> <FirstName>Mary</FirstName> <LastName>Moore</LastName> <Age>41</Age> </person> $
ffe is a command line tool. Normally ffe can be invoked as:
ffe -o OUTPUTFILE INPUTFILE...
ffe uses the definitions from the configuration file and tries to guess the input file structure.
If the structure cannot be guessed the option -s must be used.
The format for running the ffe program is:
ffe option ...
ffe supports the following options:
-c
file--configuration=
file-s
structure--structure=
structure-p
output--print=
output-o
file--output=
file-f
list--field-list=
list-e
expression--expression=
expression-a
--and
-X
--casecmp
-v
--invert-match
-l
--loose
-r
--replace=
field=
valuedata
.
-d
--debug
-I
--info
-?
--help
-V
--version
All remaining options are names of input files, if no input files are specified or -
is given, then the standard input is read.
Expression can be used to select specific records comparing field values. Expression has syntax fieldxvalue, where x is the comparison operator. Expression is used to compare field's contents to value and if comparison is successful the record is printed. Several expressions can be given and at least one must evaluate to true in order to print a record. If option -a is given all expressions must evaluate to true.
If value starts with string file:
then the rest of value is considered as a file name.
Every line in file is used as value in comparison. Comparison evaluates true if one or more values matches, so this makes possible use several different values in comparison. Note: The file size is limited by available memory because the file contents is loaded to memory.
When comparing binary fields the value must have the representation which can be shown using the %d
output directive. Note that the printing option hex-caps takes effect in comparison.
Expression notation:
ffe uses configuration file in order to read the input file and print the output.
Configuration file for ffe is a text file. The file may contain empty lines.
Commands are case sensitive. Comments begin with the #
-character and end at the end of the line.
The string
definitions can be enclosed in double quotation "
characters.
char
is a single character. string
and char
can contain following escape codes:
\a
, \b
, \t
, \n
, \v
, \f
, \r
, \"
and \#
.
A backslash can be escaped as \\
.
Configuration has two main parts: the structure, which specifies the input file structure and the output, which specifies how the input data is formatted for output.
Common syntax for configuration file is:
#comment `command` const name value ... structure name { option value ... ... record name { option value ... ... } record name { option value ... ... } ... } structure name { ... } ... output name { option value ... ... } output name { ... } ... lookup name { option value ... ... } lookup name { ... } ...
Keyword structure
is used to specify the input file content. An input file can contain several
types of records (lines or binary blocks). E.g. file can have a header, data and trailer record types. Records
must be distinguishable from each other, this can be achieved defining different 'keys'
(id
in record definition) or having different line lengths (for fixed length) or different count
of fields (for separated structure) for different records.
If binary structure has several records, then all records must have at least one key (id
), because binary blocks can
be distinguished only by using keys.
The structure notation:
structure name { option value ... ... }
A structure can contain following options:
type fixed|binary|separated [
char] [*]
quoted [
char]
header first|all|no
output
name|no|raw
record
name {
options ...}
A record specifies one type of input line or binary block in a file. Different records can be distinguished using
the id
option or different line lengths or field counts. In multi-record binary structure every record must have at least one id
because binary records do not have a special end of record marker as text lines have.
The record notation:
record name { option value ... ... }
A record can contain following options:
id
position stringrid
position regexpA record definition can contain several id's, then all id's must match the input line
(id
's are and-ed).
Non printable characters can be escaped as ‘\xnn’, where ‘nn’ is characters hexadecimal value.
field
name|FILLER|* [
length]|* [
lookup]|* [
output]
The last field of a fixed length input structure can have a * in place of length. That means that the last field has no exact length specified and it gets the remainder of the input line after all other fields. This allows a fixed record to have arbitrary long last field.
Length is also used for printing the fields in fixed length format (directive %D
in output definitions).
If * is given instead of the name, then the name will be the ordinal number of the field,
or if the header
option has value first or all, then the name of the field will be taken from
the header line (first line of the input).
If lookup is given then the fields contents is used to make a lookup in lookup table lookup. If length is not needed (separated format) but lookup is needed, use asterisk (*) in place of length definition.
If output is given the field will be printed using output definition output. If length and/or lookup are not needed use asterisk in place of them.
If field is named as FILLER
, the field will not appear in output.
The order of fields in configuration file is essential, it specifies the field order in a record.
field
name|FILLER|*
length|
type [
lookup]|* [
output]
type specifies the field length and type and can have the following values:
char
short
int
long
llong
ushort
uint
ulong
ullong
int8
int16_be
int32_be
int64_be
int16_le
int32_le
int64_le
uint8
uint16_be
uint32_be
uint64_be
uint16_le
uint32_le
uint64_le
float
float_be
float_le
double
double_be
double_le
bcd_be_
lenbcd_le_
lenhex_be_
lenhex_le_
lenIf length is given instead of the type, then the field is assumed to be a printable string having length length. String is printed until length characters are printed or NULL character is found.
Bcd number (bcd_be_
len and bcd_le_
len) is printed until len bytes are read or a nybble having hexadecimal value f
is found.
Bcd number having big endian order is printed in order: most significant nybble first and least significant nybble second and bcd number having little endian order is printed in order: least significant nybble first and most significant nybble second. Bytes are always read in big endian order.
Hexadecimal data (hex_be_
len and hex_le_
len) is printed as hexadecimal values. Big endian data is printed starting from lower address and little endian data starting from upper address.
field-count
numberfield *
" number times. This can be used in separated structure instead of
writing sequential "field *
" definitions. Several field-count
s can be used in the same record and
they can be mixed with field
.
fields-from
recordfield
and fields-from
are mutually
exclusive.
output
name|no|raw
level
number [
element_name|*] [
group_name]
record-length strict|minimum
strict
minimum
Keyword output
specifies a output format for formatting the input data for output. Formatting
is controlled using options and printf style directives. An output definition is independent
from structur, so one output format can be used with different input file formats.
The output notation:
output name { option value ... ... }
Actual formatting and printing is controlled using pictures in output options. Pictures can contain following printf style directives:
%f
%s
%r
%o
%O
%i
%I
%n
%t
%d
[-]ddd.ddd
, where the number of digits after the decimal-point character is 6. Bcd number is printed as a decimal number and hexadecimal data as consecutive hexadecimal values.
%D
%C
%x
%d
would be used.
%l
%L
%p
%h
xnn
values, where the nn
is the hexadecimal value of a byte. Data is printed before any endian conversion.
%e
%g
group_name
in record definition.
%m
element_name
in record definition.
%%
Output options:
file_header
picturefile_trailer
pictureheader
picture%n
directive.
data
picturelookup
picturedata
.
This makes possible to use different picture when the field is related to a lookup table. Default is to use the picture from data
.
separator
stringrecord_header
picturerecord_trailer
picturejustify left|right|
chardata
option is left or right justified.
char justifies output according the first occurrence of char
in the data picture. Default is left.
indent
stringlevel
in record definition) then
contents is indented according the level of a record.
field-list
name1,
name2,...
no-data-print yes|no
field-list
is given and and this is set as no and none of the fields in field-list
does not belong to the current record, then the record_header
and record_trailer
are not printed.
Default is yes.
field-empty-print yes|no
empty-chars
.
If none of the fields of a record are printed, then the printing of record_trailer
is also suppressed.
Default is yes.
empty-chars
stringoutput-file
filegroup_header
picture%g
and %n
only.
group_trailer
pictureelement_header
pictureelement_trailer
picturehex-caps yes|no
Keyword lookup
specifies a lookup table which can be searched using field contents. Found values can
be printed using output directives %l
and %L
.
The lookup table notation:
lookup name { option value ... ... }
Lookup options:
search exact | longest
exact
.
pair
key value%d
printing directive.
file
name [
separator]
default-value
valueKeyword const
specifies one name/value pair which can be used as an additional output field.
Constants can be used only in field lists (option -f,--field-list, or output option field-list
).
Constants can be used to add fields to output which do not appear in input. E.g. new fields for separated output or adding spaces after a fixed length field (changing the field length).
Note that value is printed as it is for every record. It cannot be changed record by record.
If a constant has the same name as one of the input fields, the value value is printed instead of the input field contents.
The constant notation:
const name value
When name appears in field list it is treated as one of the input fields having contents value.
Command Substitution allows the output of a command to replace parts of the configuration file. Syntax for
command substitution is:
`command
`
The command
is executed and the `command
` is substituted with the standard output of
the command, with any trailing newlines deleted. Command substitutions may not be nested.
Before executing the command
ffe sets following environment variables:
FFE_STRUCTURE
FFE_OUTPUT
FFE_FORMAT
FFE_FIRST_FILE
FFE_FILES
It is possible to define an input preprosessor for ffe. An input preprocessor is simply an executable program which writes the contents of the input file to standard output which will be read by ffe. If the input preprosessor does not write any characters on its standard output, then ffe uses the original file.
To set up an input preprocessor, set the FFEOPEN
environment variable to a command line which will invoke your input preprocessor.
This command line should include one occurrence of the string %s
,
which will be replaced by the input filename when the input preprocessor command is invoked.
The input preprocessor is not used if ffe is reading standard input.
Convenient way is to use lesspipe (or lesspipe.sh), which is availabe in many UNIX-systems, for example
export FFEOPEN="/usr/bin/lesspipe %s"
Using the example above is it possible to give a zipped input file to ffe, then the input processor will unzip the file before it is processed by ffe.
If -s is not given, ffe tries to guess the input structure.
When guessing binary data ffe reads the first block of input data and tries to match the structure definitions from configuration file to that block. The input block size is the maximum binary block size found in configuration file.
When guessing text data ffe reads the first 10 000 lines or 1 MB of input data and tries to match the structure definitions from configuration file to input stream. If all lines match one and only one structure, the structure is used for reading the input file.
Guessing uses following execution cycle:
id
's are compared to the input data, if all id
's of a record match
the input date and the
records line length matches the total length (or total count for separated structure) of the fields,
the record is considered to match the input line. If there are no id
's,
only the line length or field count is checked. In case of binary data only id
's are used in matching.
In case of binary data: If the first block matches at least one record of a structure, the structure is considered as selected. Only one structure must match.
At least in GNU/Linux ffe should be able to handle big files (> 4 GB), other systems are not tested.
Regular expression can be used in operator ? in option -e, --expression and in record key word rid
only in systems where
regular expression functions (regcomp, regexec, ...) are available.
Following examples use two different input files:
Fixed length personnel file with header and trailer, line (record) is identified by the first byte (H = Header, E = Employee, B = Boss, T = trailer).
$cat personnel.fix H2006-02-25 EJohn Ripper 23 BScott Tiger 45 EMary Moore 41 ERidge Forrester 31 T0004 $
Structure for reading file above. Note that record ‘boss’ reuses fields from ‘employee’.
structure personel_fix { type fixed record header { id 1 H field type 1 field date 10 } record employee { id 1 E field EmpType 1 field FirstName 9 field LastName 13 field Age 2 } record boss { id 1 B fields-from employee } record trailer { id 1 T field type 1 field count 4 } }
Same file as above, but now separated by comma.
$cat personnel.sep H,2006-02-25 E,john,Ripper,23 B,Scott,Tiger,45 E,Mary,Moore,41 E,Ridge,Forrester,31 T,0004 $
Structure for reading file above. Note that the field lengths are not needed in separated format. Length is need if the separated data is to be printed in fixed length format.
structure personel_sep { type separated , record header { id 1 H field type field date } record employee { id 1 E field type field FirstName field LastName field Age } record boss { id 1 B fields-from employee } record trailer { id 1 T field type field count } }
Data in examples above can be printed in XML using output definition like:
output xml { file_header "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n" data "<%n>%t</%n>\n" record_header "<%r>\n" record_trailer "</%r>\n" indent " " }
Example output using command (assuming definitions above are saved in ~/.fferc)
ffe -p xml personnel.sep
<?xml version="1.0" encoding="UTF-8"?> <header> <type>H</type> <date>2006-02-25</date> </header> <employee> <type>E</type> <FirstName>john</FirstName> <LastName>Ripper</LastName> <Age>23</Age> </employee> <boss> <type>B</type> <FirstName>Scott</FirstName> <LastName>Tiger</LastName> <Age>45</Age> </boss> <employee> <type>E</type> <FirstName>Mary</FirstName> <LastName>Moore</LastName> <Age>41</Age> </employee> <employee> <type>E</type> <FirstName>Ridge</FirstName> <LastName>Forrester</LastName> <Age>31</Age> </employee> <trailer> <type>T</type> <count>0004</count> </trailer>
Data in examples above can be loaded to database by generated sql commands. Note that the header and trailer are not loaded, because only fields ‘FirstName’,‘LastName’ and ‘Age’ are printed and ‘no-data-print’ is set as no. This prevents the ‘record_header’ and ‘record_trailer’ to be printed for file header and trailer.
output sql { file_header "delete table boss;\ndelete table employee;\n" record_header "insert into %r values(" data "'%t'" separator "," record_trailer ");\n" file_trailer "commit\nquit\n" no-data-print no field-list FirstName,LastName,Age }
Output from command
ffe -p sql personnel.sep
delete table boss; delete table employee; insert into employee values('john','Ripper','23'); insert into boss values('Scott','Tiger','45'); insert into employee values('Mary','Moore','41'); insert into employee values('Ridge','Forrester','31'); commit quit
This output format shows the fields in format suitable for displaying in screen or printing.
output nice { record_header "%s - %r - %f - %o\n" data "%n=%t\n" justify = indent " " }
Output from command
ffe -p nice personnel.fix
personel - header - personnel.fix - 1 type=H date=2006-02-25 personel - employee - personnel.fix - 2 EmpType=E FirstName=John LastName=Ripper Age=23 personel - boss - personnel.fix - 3 EmpType=B FirstName=Scott LastName=Tiger Age=45 personel - employee - personnel.fix - 4 EmpType=E FirstName=Mary LastName=Moore Age=41 personel - employee - personnel.fix - 5 EmpType=E FirstName=Ridge LastName=Forrester Age=31 personel - trailer - personnel.fix - 6 type=T count=0004
Personnel data can be displayed as HTML table using output like:
output html { file_header "<html>\n<head>\n</head>\n<body>\n<table border=\"1\">\n<tr>\n" header "<th>%n</th>\n" record_header "<tr>\n" data "<td>%t</td>\n" file_trailer "</table>\n</body>\n</html>\n" no-data-print no }
Output from command
ffe -p html -f FirstName,LastName,Age personnel.fix
<html> <head> </head> <body> <table border="1"> <tr> <th>FirstName</th> <th>LastName</th> <th>Age</th> <tr> <td>John</td> <td>Ripper</td> <td>23</td> <tr> <td>Scott</td> <td>Tiger</td> <td>45</td> <tr> <td>Mary</td> <td>Moore</td> <td>41</td> <tr> <td>Ridge</td> <td>Forrester</td> <td>31</td> </table> </body> </html>
Printing only Scott's record using expression with previous example:
ffe -p html -f FirstName,LastName,Age -e FirstName^Scott personnel.fix
<html> <head> </head> <body> <table border="1"> <tr> <th>FirstName</th> <th>LastName</th> <th>Age</th> <tr> <td>Scott</td> <td>Tiger</td> <td>45</td> </table> </body> </html>
Make all bosses and write a new personnel file printing the fields in fixed length format
using directive %D
:
Output definition:
output fixed { data "%D" }
Write a new file:
$ffe -p fixed -r EmpType=B -o personnel.fix.new personnel.fix $cat personnel.fix.new H2006-02-25 BJohn Ripper 23 BScott Tiger 45 BMary Moore 41 BRidge Forrester 31 T0004 $
The length of the fields FirstName and LastName in fixed length format will be made two bytes longer. This will be done by printing a constant after those two fields. We use dots instead of spaces in order to make change more visible.
Because we do not want to change header and trailer we need specially crafted configuration file. Employee and boss records will be printed using new output fixed2 and other records will be printed using output default.
New definition file new_fixed.rc:
const 2dots ".." structure personel_fix { type fixed record header { id 1 H field type 1 field date 10 } record employee { id 1 E field EmpType 1 field FirstName 9 field LastName 13 field Age 2 output fixed2 } record boss { id 1 B fields-from employee output fixed2 } record trailer { id 1 T field type 1 field count 4 } } output default { data "%D" } output fixed2 { data "%D" field-list Emptype,FirstName,2dots,LastName,2dots,Age }
Print new flat file:
$ ffe -c new_fixed.rc personel_fix H2006-02-25 EJohn ..Ripper ..23 BScott ..Tiger ..45 EMary ..Moore ..41 ERidge ..Forrester ..31 T0004 $
Lookup table is used to explain the EmpTypes contents in output format nice
:
Lookup definition:
lookup Type { search exact pair H Header pair B "He is a Boss!" pair E "Not a Boss!" pair T Trailer default-value "Unknown record type!" }
Mapping the EmpType field to lookup:
structure personel_fix { type fixed record header { id 1 H field type 1 field date 10 } record employee { id 1 E field EmpType 1 Type field FirstName 9 field LastName 13 field Age 2 } record boss { id 1 B fields-from employee } record trailer { id 1 T field type 1 field count 4 } }
Adding the lookup option to output definition nice
.
output nice { record_header "%s - %r - %f - %o\n" data "%n=%t\n" lookup "%n=%t (%l)\n" justify = indent " " }
Running ffe:
$ffe -p nice personnel.fix personel_fix - header - personel_fix - 1 type=H date=2006-02-25 personel_fix - employee - personel_fix - 2 EmpType=E (Not a Boss!) FirstName=John LastName=Ripper Age=23 personel_fix - boss - personel_fix - 3 EmpType=B (He is a Boss!) FirstName=Scott LastName=Tiger Age=45 personel_fix - employee - personel_fix - 4 EmpType=E (Not a Boss!) FirstName=Mary LastName=Moore Age=41 personel_fix - employee - personel_fix - 5 EmpType=E (Not a Boss!) FirstName=Ridge LastName=Forrester Age=31 personel_fix - trailer - personel_fix - 6 type=T count=0004
In previous example the lookup data could be read from external file like:
$cat lookupdata H;Header B;He is a Boss! E;Not a Boss! T;Trailer $
Lookup definition using file above:
lookup Type { search exact file lookupdata default-value "Unknown record type!" }
Command substitution can be used to make a configuration for reading any csv file. The number of fields will be read from the first file using awk. Input file names and date are printed in the file header:
structure csv { type separated , header first record csv { field-count `awk "-F," 'FNR == 1 {print NF;exit;}' $FFE_FIRST_FILE` } } output default { file_header "Files: `echo $FFE_FILES`\n`date`\n" data "%n=%d\n" justify = }
A binary block having a 3 byte text (ABC) in 5 bytes long space, one byte integer (35), a 32 bit integer (12345678), a double (345.385), a 3 byte bcd number (45112) and a 4 byte hexadecimal data (f15a9188) can be read using following configuration:
structure bin_data { type binary record b { field text 5 field byte_int int8 field integer int field number double field bcd_number bcd_be_3 field hex hex_be_4 } } output default { data "%n = %d (%h)\n" }
The %h
directive gives a hex dump of the input data.
Hexadecimal dump of the data:
$ od -t x1 example_bin 0000000 41 42 43 00 08 23 4e 61 bc 00 5c 8f c2 f5 28 96 0000020 75 40 45 11 2f f1 5a 91 88 0000031
Using ffe:
$ffe -c example_bin.fferc -s bin_data example_bin text = ABC (x41x42x43x00x08) byte_int = 35 (x23) integer = 12345678 (x4ex61xbcx00) number = 345.385000 (x5cx8fxc2xf5x28x96x75x40) bcd_number = 45112 (x45x11x2f) hex = f15a9188 (xf1x5ax91x88)
Note that the text has only 3 characters before NULL byte. Because this example was made in little endian machine, same result can be achieved with different configuration:
structure bin_data { type binary record b { field text 5 field byte_int int8 field integer int32_le field number double_le field bcd_number bcd_be_3 field hex hex_be_4 } }
This configuration is more portable in case the same data is to be read in a different architecture because endianess of integer and double are explicit given.
If the bcd number is read with bcd_le_3
it would look as
bcd_number = 5411 (x45x11x2f)
Note that nybbles are swapped and last byte is handled as f2
(f
stops the printing) causing only first two bytes to be printed.
and if hexadecimal data is read with hex_le_4
it would look as
hex = 88915af1 (xf1x5ax91x88)
Bytes are printed starting from the end of the data.
The keyword level
in record definition can be used to print data in multi-level nested form. In this
example a parent row is in level one and a child row is in level two. Children after a parent row belongs
to the parent before child rows, so they are enclosed in a parent element.
Example data:
P,John Smith,3 C,Kathren,6,Blue C,Jimmy,4,Red C,Peter,2,Green P,Margaret Eelers,2 C,Aden,16,White C,Amanda,20,Black
A parent row consistd of ID (P), parent name, and the count of the children. A child row consists of id (C), child name, age and favorite color.
This can be printed in nested XML using rc file:
structure family { type separated , record parent { id 1 P field FILLER field Name field Child_count level 1 parent } record child { id 1 C field FILLER field Name field Age field FavoriteColor level 2 child children } } output nested_xml { file_header "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n" data "<%n>%t</%n>\n" indent " " record_trailer "" group_header "<%g>\n" group_trailer "</%g>\n" element_header "<%m>\n" element_trailer "</%m>\n" }
Output:
<?xml version="1.0" encoding="UTF-8"?> <parent> <Name>John Smith</Name> <Child_count>3</Child_count> <children> <child> <Name>Kathren</Name> <Age>6</Age> <FavoriteColor>Blue</FavoriteColor> </child> <child> <Name>Jimmy</Name> <Age>4</Age> <FavoriteColor>Red</FavoriteColor> </child> <child> <Name>Peter</Name> <Age>2</Age> <FavoriteColor>Green</FavoriteColor> </child> </children> </parent> <parent> <Name>Margaret Eelers</Name> <Child_count>2</Child_count> <children> <child> <Name>Aden</Name> <Age>16</Age> <FavoriteColor>White</FavoriteColor> </child> <child> <Name>Amanda</Name> <Age>20</Age> <FavoriteColor>Black</FavoriteColor> </child> </children> </parent>
structure personel_fix { type fixed record header { id 1 H field type 1 field date 10 } record employee { id 1 E field EmpType 1 Type field FirstName 9 field LastName 13 field Age 2 } record boss { id 1 B fields-from employee } record trailer { id 1 T field type 1 field count 4 } } structure personel_sep { type separated , record header { id 1 H field type field date } record employee { id 1 E field type field FirstName field LastName field Age } record boss { id 1 B fields-from employee } record trailer { id 1 T field type field count } } structure bin_data { type binary record b { field text 5 field byte_int int8 field integer int32_le field number double_le field bcd_number bcd_be_3 field hex hex_be_4 } } output xml { file_header "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n" data "<%n>%t</%n>\n" record_header "<%r>\n" record_trailer "</%r>\n" indent " " } output sql { file_header "delete table boss;\ndelete table employee;\n" record_header "insert into %r values(" data "'%t'" separator "," record_trailer ");\n" file_trailer "commit\nquit\n" no-data-print no field-list FirstName,LastName,Age } output nice { record_header "%s - %r - %f - %o\n" data "%n=%t\n" lookup "%n=%t (%l)\n" justify = indent " " } output html { file_header "<html>\n<head>\n</head>\n<body>\n<table border=\"1\">\n<tr>\n" header "<th>%n</th>\n" record_header "<tr>\n" data "<td>%t</td>\n" file_trailer "</table>\n</body>\n</html>\n" no-data-print no } output fixed { data "%D" } lookup Type { search exact pair H Header pair B "He is a Boss!" pair E "Not a Boss!" pair T Trailer default-value "Unknown record type!" }
ffe can be used to check flat file integrity, because ffe checks for all lines the line length and id's for fixed length structure and field count and id's for separated structure.
Integrity can be checked using command
ffe -p no -l inputfiles...
Because option -p has value no
nothing is printed to output except the error messages.
Option -l causes all erroneous lines to be reported, not just the first one.
Example output:
ffe: Invalid input line in file 'inputfileB', line 14550 ffe: Invalid input line in file 'inputfileD', line 12
If you find a bug in ffe, please send electronic mail to tjsa@iki.fi. Include the version number, which you can find by running ‘ffe --version’. Also include in your message the output that the program produced and the output you expected.
If you have other questions, comments or suggestions about ffe, contact the author via electronic mail to tjsa@iki.fi. The author will try to help you out, although he may not have time to fix your problems.