Chapter 49. Bindy DataFormat

The Bindy dataformat supports 5 options, which are listed below.

The component supports 18 options, which are listed below.

ND

The annotations created allow to map different concept of your model to the POJO like :

This section will describe them :

The CsvRecord annotation is used to identified the root class of the model. It represents a record = a line of a CSV file and can be linked to several children model classes.

case 1 : separator = ','

The separator used to segregate the fields in the CSV record is ',' :

10, J, Pauline, M, XD12345678, Fortis Dynamic 15/15, 2500,
USD,08-01-2009

@CsvRecord( separator = "," )
public Class Order {

}

case 2 : separator = ';'

Compare to the previous case, the separator here is ';' instead of ',' :

10; J; Pauline; M; XD12345678; Fortis Dynamic 15/15; 2500; USD; 08-01-2009

@CsvRecord( separator = ";" )
public Class Order {

}

case 3 : separator = '|'

Compare to the previous case, the separator here is '|' instead of ';' :

10| J| Pauline| M| XD12345678| Fortis Dynamic 15/15| 2500| USD|
08-01-2009

@CsvRecord( separator = "\\|" )
public Class Order {

}

case 4 : separator = '\",\"'

Applies for Camel 2.8.2 or older

When the field to be parsed of the CSV record contains ',' or ';' which is also used as separator, we whould find another strategy
to tell camel bindy how to handle this case. To define the field containing the data with a comma, you will use simple or double quotes
as delimiter (e.g : '10', 'Street 10, NY', 'USA' or "10", "Street 10, NY", "USA").
Remark : In this case, the first and last character of the line which are a simple or double quotes will removed by bindy

"10","J","Pauline"," M","XD12345678","Fortis Dynamic 15,15"
2500","USD","08-01-2009"

@CsvRecord( separator = "\",\"" )
public Class Order {

}

From Camel 2.8.3/2.9 or never bindy will automatic detect if the record is enclosed with either single or double quotes and automatic remove those quotes when unmarshalling from CSV to Object. Therefore do not include the quotes in the separator, but simple do as below:

"10","J","Pauline"," M","XD12345678","Fortis Dynamic 15,15"
2500","USD","08-01-2009"

@CsvRecord( separator = "," )
public Class Order {

}

Notice that if you want to marshal from Object to CSV and use quotes, then you need to specify which quote character to use, using the quote attribute on the @CsvRecord as shown below:

@CsvRecord( separator = ",", quote = "\"" )
public Class Order {

}

case 5 : separator & skipfirstline

The feature is interesting when the client wants to have in the first line of the file, the name of the data fields :

order id, client id, first name, last name, isin code, instrument name, quantity, currency, date

To inform bindy that this first line must be skipped during the parsing process, then we use the attribute :

@CsvRecord(separator = ",", skipFirstLine = true)
public Class Order {

}

case 6 : generateHeaderColumns

To add at the first line of the CSV generated, the attribute generateHeaderColumns must be set to true in the annotation like this :

@CsvRecord( generateHeaderColumns = true )
public Class Order {

}

As a result, Bindy during the unmarshaling process will generate CSV like this :

order id, client id, first name, last name, isin code, instrument name, quantity, currency, date

10, J, Pauline, M, XD12345678, Fortis Dynamic 15/15, 2500, USD,08-01-2009

case 7 : carriage return

If the platform where camel-bindy will run is not Windows but Macintosh or Unix, than you can change the crlf property like this. Three values are available : WINDOWS, UNIX or MAC

@CsvRecord(separator = ",", crlf="MAC")
public Class Order {

}

Additionally, if for some reason you need to add a different line ending character, you can opt to specify it using the crlf parameter. In the following example, we can end the line with a comma followed by the newline character:

@CsvRecord(separator = ",", crlf=",\n")
public Class Order {

}

case 8 : isOrdered

Sometimes, the order to follow during the creation of the CSV record from the model is different from the order used during the parsing. Then, in this case, we can use the attribute isOrdered = true to indicate this in combination with attribute 'position' of the DataField annotation.

@CsvRecord(isOrdered = true)
public Class Order {

   @DataField(pos = 1, position = 11)
   private int orderNr;

   @DataField(pos = 2, position = 10)
   private String clientNr;

}

Remark : pos is used to parse the file, stream while positions is used to generate the CSV

The link annotation will allow to link objects together.

Only one-to-one relation is allowed.

e.g : If the model Class Client is linked to the Order class, then use annotation Link in the Order class like this :

Property Link

@CsvRecord(separator = ",")
public class Order {

    @DataField(pos = 1)
    private int orderNr;

    @Link
    private Client client;
}

AND for the class Client :

Class Link

@Link
public class Client {

}

The DataField annotation defines the property of the field. Each datafield is identified by its position in the record, a type (string, int, date, …​) and optionally of a pattern

case 1 : pos

This parameter/attribute represents the position of the field in the csv record

Position

@CsvRecord(separator = ",")
public class Order {

    @DataField(pos = 1)
    private int orderNr;

    @DataField(pos = 5)
    private String isinCode;

}

As you can see in this example the position starts at '1' but continues at '5' in the class Order. The numbers from '2' to '4' are defined in the class Client (see here after).

Position continues in another model class

public class Client {

    @DataField(pos = 2)
    private String clientNr;

    @DataField(pos = 3)
    private String firstName;

    @DataField(pos = 4)
    private String lastName;
}

case 2 : pattern

The pattern allows to enrich or validates the format of your data

Pattern

@CsvRecord(separator = ",")
public class Order {

    @DataField(pos = 1)
    private int orderNr;

    @DataField(pos = 5)
    private String isinCode;

    @DataField(name = "Name", pos = 6)
    private String instrumentName;

    @DataField(pos = 7, precision = 2)
    private BigDecimal amount;

    @DataField(pos = 8)
    private String currency;

    // pattern used during parsing or when the date is created
    @DataField(pos = 9, pattern = "dd-MM-yyyy")
    private Date orderDate;
}

case 3 : precision

The precision is helpful when you want to define the decimal part of your number

Precision

@CsvRecord(separator = ",")
public class Order {

    @DataField(pos = 1)
    private int orderNr;

    @Link
    private Client client;

    @DataField(pos = 5)
    private String isinCode;

    @DataField(name = "Name", pos = 6)
    private String instrumentName;

    @DataField(pos = 7, precision = 2)
    private BigDecimal amount;

    @DataField(pos = 8)
    private String currency;

    @DataField(pos = 9, pattern = "dd-MM-yyyy")
    private Date orderDate;
}

case 4 : Position is different in output

The position attribute will inform bindy how to place the field in the CSV record generated. By default, the position used corresponds to the position defined with the attribute 'pos'. If the position is different (that means that we have an asymetric processus comparing marshaling from unmarshaling) than we can use 'position' to indicate this.

Here is an example

Position is different in output

@CsvRecord(separator = ",", isOrdered = true)
public class Order {

    // Positions of the fields start from 1 and not from 0

    @DataField(pos = 1, position = 11)
    private int orderNr;

    @DataField(pos = 2, position = 10)
    private String clientNr;

    @DataField(pos = 3, position = 9)
    private String firstName;

    @DataField(pos = 4, position = 8)
    private String lastName;

    @DataField(pos = 5, position = 7)
    private String instrumentCode;

    @DataField(pos = 6, position = 6)
    private String instrumentNumber;
}

This attribute of the annotation @DataField must be used in combination with attribute isOrdered = true of the annotation @CsvRecord

case 5 : required

If a field is mandatory, simply use the attribute 'required' setted to true

Required

@CsvRecord(separator = ",")
public class Order {

    @DataField(pos = 1)
    private int orderNr;

    @DataField(pos = 2, required = true)
    private String clientNr;

    @DataField(pos = 3, required = true)
    private String firstName;

    @DataField(pos = 4, required = true)
    private String lastName;
}

If this field is not present in the record, than an error will be raised by the parser with the following information :

Some fields are missing (optional or mandatory), line :

case 6 : trim

If a field has leading and/or trailing spaces which should be removed before they are processed, simply use the attribute 'trim' setted to true

Trim

@CsvRecord(separator = ",")
public class Order {

    @DataField(pos = 1, trim = true)
    private int orderNr;

    @DataField(pos = 2, trim = true)
    private Integer clientNr;

    @DataField(pos = 3, required = true)
    private String firstName;

    @DataField(pos = 4)
    private String lastName;
}

case 7 : defaultValue

If a field is not defined then uses the value indicated by the defaultValue attribute

Default value

@CsvRecord(separator = ",")
public class Order {

    @DataField(pos = 1)
    private int orderNr;

    @DataField(pos = 2)
    private Integer clientNr;

    @DataField(pos = 3, required = true)
    private String firstName;

    @DataField(pos = 4, defaultValue = "Barin")
    private String lastName;
}

This attribute is only applicable to optional fields.

The FixedLengthRecord annotation is used to identifiy the root class of the model. It represents a record which is "a line of a file/message containing data fixed length formatted" and can be linked to several child model classes. This format is particular because data of a field can be aligned to the right or to the left.

When the size of the data does not fill completely the length of the field, we can then add 'pad' characters.

A record may not be both a header/footer and a primary fixed-length record.

case 1 : Simple fixed length record

This simple example shows how to design the model to parse/format a fixed message.

10A9PaulineMISINXD12345678BUYShare2500.45USD01-08-2009

Fixed-simple

@FixedLengthRecord(length=54, paddingChar=' ')
public static class Order {

    @DataField(pos = 1, length=2)
    private int orderNr;

    @DataField(pos = 3, length=2)
    private String clientNr;

    @DataField(pos = 5, length=7)
    private String firstName;

    @DataField(pos = 12, length=1, align="L")
    private String lastName;

    @DataField(pos = 13, length=4)
    private String instrumentCode;

    @DataField(pos = 17, length=10)
    private String instrumentNumber;

    @DataField(pos = 27, length=3)
    private String orderType;

    @DataField(pos = 30, length=5)
    private String instrumentType;

    @DataField(pos = 35, precision = 2, length=7)
    private BigDecimal amount;

    @DataField(pos = 42, length=3)
    private String currency;

    @DataField(pos = 45, length=10, pattern = "dd-MM-yyyy")
    private Date orderDate;
}

case 2 : Fixed length record with alignment and padding

This more elaborated example shows how to define the alignment for a field and how to assign a padding character which, in this case, is ' ':

10A9 PaulineM ISINXD12345678BUYShare2500.45USD01-08-2009

Fixed-padding-align

@FixedLengthRecord(length=60, paddingChar=' ')
public static class Order {

    @DataField(pos = 1, length=2)
    private int orderNr;

    @DataField(pos = 3, length=2)
    private String clientNr;

    @DataField(pos = 5, length=9)
    private String firstName;

    @DataField(pos = 14, length=5, align="L")   // align text to the LEFT zone of the block
    private String lastName;

    @DataField(pos = 19, length=4)
    private String instrumentCode;

    @DataField(pos = 23, length=10)
    private String instrumentNumber;

    @DataField(pos = 33, length=3)
    private String orderType;

    @DataField(pos = 36, length=5)
    private String instrumentType;

    @DataField(pos = 41, precision = 2, length=7)
    private BigDecimal amount;

    @DataField(pos = 48, length=3)
    private String currency;

    @DataField(pos = 51, length=10, pattern = "dd-MM-yyyy")
    private Date orderDate;
}

case 3 : Field padding

Sometimes, the default padding defined for a record cannnot be applied to the field as we have a number format where we would like to pad with '0' instead of ' '. In this case, in the model, you can use the attribute paddingChar on @DataField to set this value.

10A9 PaulineM ISINXD12345678BUYShare000002500.45USD01-08-2009

Fixed-padding-field

@FixedLengthRecord(length = 65, paddingChar = ' ')
public static class Order {

    @DataField(pos = 1, length = 2)
    private int orderNr;

    @DataField(pos = 3, length = 2)
    private String clientNr;

    @DataField(pos = 5, length = 9)
    private String firstName;

    @DataField(pos = 14, length = 5, align = "L")
    private String lastName;

    @DataField(pos = 19, length = 4)
    private String instrumentCode;

    @DataField(pos = 23, length = 10)
    private String instrumentNumber;

    @DataField(pos = 33, length = 3)
    private String orderType;

    @DataField(pos = 36, length = 5)
    private String instrumentType;

    @DataField(pos = 41, precision = 2, length = 12, paddingChar = '0')
    private BigDecimal amount;

    @DataField(pos = 53, length = 3)
    private String currency;

    @DataField(pos = 56, length = 10, pattern = "dd-MM-yyyy")
    private Date orderDate;
}

case 4: Fixed length record with delimiter

Fixed-length records sometimes have delimited content within the record. In the following example, the firstName and lastName fields are delimited with the ^ character in the following example:

10A9Pauline^M^ISINXD12345678BUYShare000002500.45USD01-08-2009

Fixed-delimited

@FixedLengthRecord
public static class Order {

    @DataField(pos = 1, length = 2)
    private int orderNr;

    @DataField(pos = 2, length = 2)
    private String clientNr;

    @DataField(pos = 3, delimiter = "^")
    private String firstName;

    @DataField(pos = 4, delimiter = "^")
    private String lastName;

    @DataField(pos = 5, length = 4)
    private String instrumentCode;

    @DataField(pos = 6, length = 10)
    private String instrumentNumber;

    @DataField(pos = 7, length = 3)
    private String orderType;

    @DataField(pos = 8, length = 5)
    private String instrumentType;

    @DataField(pos = 9, precision = 2, length = 12, paddingChar = '0')
    private BigDecimal amount;

    @DataField(pos = 10, length = 3)
    private String currency;

    @DataField(pos = 11, length = 10, pattern = "dd-MM-yyyy")
    private Date orderDate;
}

The pos value(s) in a fixed-length record may optionally be defined using ordinal or sequential values instead of precise column numbers.

case 5 : Fixed length record with record-defined field length

Occasionally a fixed-length record may contain a field that defines the expected length of another field within the same record. In the following example the length of the instrumentNumber field value is defined by the value of instrumentNumberLen field in the record.

10A9Pauline^M^ISIN10XD12345678BUYShare000002500.45USD01-08-2009

Fixed-delimited

@FixedLengthRecord
public static class Order {

    @DataField(pos = 1, length = 2)
    private int orderNr;

    @DataField(pos = 2, length = 2)
    private String clientNr;

    @DataField(pos = 3, delimiter = "^")
    private String firstName;

    @DataField(pos = 4, delimiter = "^")
    private String lastName;

    @DataField(pos = 5, length = 4)
    private String instrumentCode;

    @DataField(pos = 6, length = 2, align = "R", paddingChar = '0')
    private int instrumentNumberLen;

    @DataField(pos = 7, lengthPos=6)
    private String instrumentNumber;

    @DataField(pos = 8, length = 3)
    private String orderType;

    @DataField(pos = 9, length = 5)
    private String instrumentType;

    @DataField(pos = 10, precision = 2, length = 12, paddingChar = '0')
    private BigDecimal amount;

    @DataField(pos = 11, length = 3)
    private String currency;

    @DataField(pos = 12, length = 10, pattern = "dd-MM-yyyy")
    private Date orderDate;
}

case 6 : Fixed length record with header and footer

Bindy will discover fixed-length header and footer records that are configured as part of the model provided that the annotated classes exist either in the same package as the primary @FixedLengthRecord class, or within one of the configured scan packages. The following text illustrates two fixed-length records that are bracketed by a header record and footer record.

101-08-2009
10A9 PaulineM ISINXD12345678BUYShare000002500.45USD01-08-2009
10A9 RichN ISINXD12345678BUYShare000002700.45USD01-08-2009
9000000002

Fixed-header-and-footer-main-class

@FixedLengthRecord(header = OrderHeader.class, footer = OrderFooter.class)
public class Order {

    @DataField(pos = 1, length = 2)
    private int orderNr;

    @DataField(pos = 2, length = 2)
    private String clientNr;

    @DataField(pos = 3, length = 9)
    private String firstName;

    @DataField(pos = 4, length = 5, align = "L")
    private String lastName;

    @DataField(pos = 5, length = 4)
    private String instrumentCode;

    @DataField(pos = 6, length = 10)
    private String instrumentNumber;

    @DataField(pos = 7, length = 3)
    private String orderType;

    @DataField(pos = 8, length = 5)
    private String instrumentType;

    @DataField(pos = 9, precision = 2, length = 12, paddingChar = '0')
    private BigDecimal amount;

    @DataField(pos = 10, length = 3)
    private String currency;

    @DataField(pos = 11, length = 10, pattern = "dd-MM-yyyy")
    private Date orderDate;
}

@FixedLengthRecord
public  class OrderHeader {
    @DataField(pos = 1, length = 1)
    private int recordType = 1;

    @DataField(pos = 2, length = 10, pattern = "dd-MM-yyyy")
    private Date recordDate;
}

@FixedLengthRecord
public class OrderFooter {

    @DataField(pos = 1, length = 1)
    private int recordType = 9;

    @DataField(pos = 2, length = 9, align = "R", paddingChar = '0')
    private int numberOfRecordsInTheFile;
}

case 7 : Skipping content when parsing a fixed length record.

It is common to integrate with systems that provide fixed-length records containing more information than needed for the target use case. It is useful in this situation to skip the declaration and parsing of those fields that we do not need. To accomodate this, Bindy will skip forward to the next mapped field within a record if the pos value of the next declared field is beyond the cursor position of the last parsed field. Using absolute pos locations for the fields of interest (instead of ordinal values) causes Bindy to skip content between two fields.

Similarly, it is possible that none of the content beyond some field is of interest. In this case, you can tell Bindy to skip parsing of everything beyond the last mapped field by setting the ignoreTrailingChars property on the @FixedLengthRecord declaration.

@FixedLengthRecord(ignoreTrailingChars = true)
public static class Order {

    @DataField(pos = 1, length = 2)
    private int orderNr;

    @DataField(pos = 3, length = 2)
    private String clientNr;

    // any characters that appear beyond the last mapped field will be ignored

}

The Message annotation is used to identified the class of your model who will contain key value pairs fields. This kind of format is used mainly in Financial Exchange Protocol Messages (FIX). Nevertheless, this annotation can be used for any other format where data are identified by keys. The key pair values are separated each other by a separator which can be a special character like a tab delimitor (unicode representation : \u0009) or a start of heading (unicode representation : \u0001)

*"FIX information"*

More information about FIX can be found on this web site : http://www.fixprotocol.org/. To work with FIX messages, the model must contain a Header and Trailer classes linked to the root message class which could be a Order class. This is not mandatory but will be very helpful when you will use camel-bindy in combination with camel-fix which is a Fix gateway based on quickFix project http://www.quickfixj.org/.

case 1 : separator = 'u0001'

The separator used to segregate the key value pair fields in a FIX message is the ASCII '01' character or in unicode format '\u0001'. This character must be escaped a second time to avoid a java runtime error. Here is an example :

8=FIX.4.1 9=20 34=1 35=0 49=INVMGR 56=BRKR 1=BE.CHM.001 11=CHM0001-01
22=4 ...

and how to use the annotation

FIX - message

@Message(keyValuePairSeparator = "=", pairSeparator = "\u0001", type="FIX", version="4.1")
public class Order {

}

*Look at test cases*

The ASCII character like tab, …​ cannot be displayed in WIKI page. So, have a look to the test case of camel-bindy to see exactly how the FIX message looks like (src\test\data\fix\fix.txt) and the Order, Trailer, Header classes (src\test\java\org\apache\camel\dataformat\bindy\model\fix\simple\Order.java)

The KeyValuePairField annotation defines the property of a key value pair field. Each KeyValuePairField is identified by a tag (= key) and its value associated, a type (string, int, date, …​), optionaly a pattern and if the field is required

case 1 : tag

This parameter represents the key of the field in the message

FIX message - Tag

@Message(keyValuePairSeparator = "=", pairSeparator = "\u0001", type="FIX", version="4.1")
public class Order {

    @Link Header header;

    @Link Trailer trailer;

    @KeyValuePairField(tag = 1) // Client reference
    private String Account;

    @KeyValuePairField(tag = 11) // Order reference
    private String ClOrdId;

    @KeyValuePairField(tag = 22) // Fund ID type (Sedol, ISIN, ...)
    private String IDSource;

    @KeyValuePairField(tag = 48) // Fund code
    private String SecurityId;

    @KeyValuePairField(tag = 54) // Movement type ( 1 = Buy, 2 = sell)
    private String Side;

    @KeyValuePairField(tag = 58) // Free text
    private String Text;
}

case 2 : Different position in output

If the tags/keys that we will put in the FIX message must be sorted according to a predefine order, then use the attribute 'position' of the annotation @KeyValuePairField

FIX message - Tag - sort

@Message(keyValuePairSeparator = "=", pairSeparator = "\\u0001", type = "FIX", version = "4.1", isOrdered = true)
public class Order {

    @Link Header header;

    @Link Trailer trailer;

    @KeyValuePairField(tag = 1, position = 1) // Client reference
    private String account;

    @KeyValuePairField(tag = 11, position = 3) // Order reference
    private String clOrdId;
}

In FIX message of fixed length records, it is common to have different sections in the representation of the information : header, body and section. The purpose of the annotation @Section is to inform bindy about which class of the model represents the header (= section 1), body (= section 2) and footer (= section 3)

Only one attribute/parameter exists for this annotation.

case 1 : Section

Definition of the header section

FIX message - Section - Header

@Section(number = 1)
public class Header {

    @KeyValuePairField(tag = 8, position = 1) // Message Header
    private String beginString;

    @KeyValuePairField(tag = 9, position = 2) // Checksum
    private int bodyLength;
}

Definition of the body section

FIX message - Section - Body

@Section(number = 2)
@Message(keyValuePairSeparator = "=", pairSeparator = "\\u0001", type = "FIX", version = "4.1", isOrdered = true)
public class Order {

    @Link Header header;

    @Link Trailer trailer;

    @KeyValuePairField(tag = 1, position = 1) // Client reference
    private String account;

    @KeyValuePairField(tag = 11, position = 3) // Order reference
    private String clOrdId;

Definition of the footer section

FIX message - Section - Footer

@Section(number = 3)
public class Trailer {

    @KeyValuePairField(tag = 10, position = 1)
    // CheckSum
    private int checkSum;

    public int getCheckSum() {
        return checkSum;
    }

The purpose of the annotation @OneToMany is to allow to work with a List<?> field defined a POJO class or from a record containing repetitive groups.

*Restrictions OneToMany*

Be careful, the one to many of bindy does not allow to handle repetitions defined on several levels of the hierarchy

The relation OneToMany ONLY WORKS in the following cases :

case 1 : Generating CSV with repetitive data

Here is the CSV output that we want :

Claus,Ibsen,Camel in Action 1,2010,35
Claus,Ibsen,Camel in Action 2,2012,35
Claus,Ibsen,Camel in Action 3,2013,35
Claus,Ibsen,Camel in Action 4,2014,35

Remark : the repetitive data concern the title of the book and its publication date while first, last name and age are common

and the classes used to modeling this. The Author class contains a List of Book.

Generate CSV with repetitive data

@CsvRecord(separator=",")
public class Author {

    @DataField(pos = 1)
    private String firstName;

    @DataField(pos = 2)
    private String lastName;

    @OneToMany
    private List<Book> books;

    @DataField(pos = 5)
    private String Age;
}

public class Book {

    @DataField(pos = 3)
    private String title;

    @DataField(pos = 4)
    private String year;
}

Very simple isn’t it !!!

case 2 : Reading FIX message containing group of tags/keys

Here is the message that we would like to process in our model :

8=FIX 4.19=2034=135=049=INVMGR56=BRKR
1=BE.CHM.00111=CHM0001-0158=this is a camel - bindy test
22=448=BE000124567854=1
22=548=BE000987654354=2
22=648=BE000999999954=3
10=220

tags 22, 48 and 54 are repeated

and the code

Reading FIX message containing group of tags/keys

public class Order {

    @Link Header header;

    @Link Trailer trailer;

    @KeyValuePairField(tag = 1) // Client reference
    private String account;

    @KeyValuePairField(tag = 11) // Order reference
    private String clOrdId;

    @KeyValuePairField(tag = 58) // Free text
    private String text;

    @OneToMany(mappedTo = "org.apache.camel.dataformat.bindy.model.fix.complex.onetomany.Security")
    List<Security> securities;
}

public class Security {

    @KeyValuePairField(tag = 22) // Fund ID type (Sedol, ISIN, ...)
    private String idSource;

    @KeyValuePairField(tag = 48) // Fund code
    private String securityCode;

    @KeyValuePairField(tag = 54) // Movement type ( 1 = Buy, 2 = sell)
    private String side;
}

The purpose of the annotation @BindyConverter is define a converter to be used on field level. The provided class must implement the Format interface.

@FixedLengthRecord(length = 10, paddingChar = ' ')
public static class DataModel {
    @DataField(pos =  1, length = 10, trim = true)
    @BindyConverter(CustomConverter.class)
    public String field1;
}

public static class CustomConverter implements Format<String> {
    @Override
    public String format(String object) throws Exception {
        return (new StringBuilder(object)).reverse().toString();
    }

    @Override
    public String parse(String string) throws Exception {
        return (new StringBuilder(string)).reverse().toString();
    }
}

The purpose of the annotation @FormatFactories is to define a set of converters at record-level. The provided classes must implement the FormatFactoryInterface interface.

@CsvRecord(separator = ",")
@FormatFactories({OrderNumberFormatFactory.class})
public static class Order {

    @DataField(pos = 1)
    private OrderNumber orderNr;

    @DataField(pos = 2)
    private String firstName;
}

public static class OrderNumber {
    private int orderNr;

    public static OrderNumber ofString(String orderNumber) {
        OrderNumber result = new OrderNumber();
        result.orderNr = Integer.valueOf(orderNumber);
        return result;
    }
}

public static class OrderNumberFormatFactory extends AbstractFormatFactory {

    {
        supportedClasses.add(OrderNumber.class);
    }

    @Override
    public Format<?> build(FormattingOptions formattingOptions) {
        return new Format<OrderNumber>() {
            @Override
            public String format(OrderNumber object) throws Exception {
                return String.valueOf(object.orderNr);
            }

            @Override
            public OrderNumber parse(String string) throws Exception {
                return OrderNumber.ofString(string);
            }
        };
    }
}

The DefaultFormatFactory makes formatting of the following datatype available by returning an instance of the interface FormatFactoryInterface based on the provided FormattingOptions:

The DefaultFormatFactory can be overridden by providing an instance of FactoryRegistry in the registry in use (e.g. spring or JNDI).

The next step consists in instantiating the DataFormat bindy class associated with this record type and providing Java package name(s) as parameter.

For example the following uses the class BindyCsvDataFormat (who correspond to the class associated with the CSV record type) which is configured with com.acme.model package name to initialize the model objects configured in this package.

// Camel 2.15 or older (configure by package name)
DataFormat bindy = new BindyCsvDataFormat("com.acme.model");


// Camel 2.16 onwards (configure by class name)
DataFormat bindy = new BindyCsvDataFormat(com.acme.model.MyModel.class);

// Camel 2.15 or older (configure by package name)
BindyCsvDataFormat bindy = new BindyCsvDataFormat("com.acme.model");
// Camel 2.16 onwards (configure by class name)
BindyCsvDataFormat bindy = new BindyCsvDataFormat(com.acme.model.MyModel.class);

bindy.setLocale("us");

// Camel 2.15 or older (configure by package name)
BindyCsvDataFormat bindy = new BindyCsvDataFormat("com.acme.model");
// Camel 2.16 onwards (configure by class name)
BindyCsvDataFormat bindy = new BindyCsvDataFormat(com.acme.model.MyModel.class);

bindy.setLocale("default");

// Camel 2.15 or older (configure by package name)
BindyCsvDataFormat bindy = new BindyCsvDataFormat("com.acme.model");
// Camel 2.16 onwards (configure by class name)
BindyCsvDataFormat bindy = new BindyCsvDataFormat(com.acme.model.MyModel.class);

bindy.setLocale(Locale.getDefault().getISO3Country());

from("file://inbox")
  .unmarshal(bindy)
  .to("direct:handleOrders");

from("file://inbox")
  .unmarshal("myBindyDataFormat")
  .to("direct:handleOrders");

List<Map<String, Object>> unmarshaledModels = (List<Map<String, Object>>) exchange.getIn().getBody();

int modelCount = 0;
for (Map<String, Object> model : unmarshaledModels) {
  for (String className : model.keySet()) {
     Object obj = model.get(className);
     LOG.info("Count : " + modelCount + ", " + obj.toString());
  }
 modelCount++;
}

LOG.info("Total CSV records received by the csv bean : " + modelCount);

from("file://inbox")
    .unmarshal(bindy)
    .split(body())
        .process(new Processor() {
            public void process(Exchange exchange) throws Exception {
                Message in = exchange.getIn();
                Map<String, Object> modelMap = (Map<String, Object>) in.getBody();
                in.setBody(modelMap.get(Order.class.getCanonicalName()));
            }
        })
        .to("direct:handleSingleOrder")
    .end();

from("file://inbox?charset=Cp922")
  .removeProperty(Exchange.CHARSET_NAME)
  .unmarshal("myBindyDataFormat")
  .to("direct:handleOrders");

from("direct:handleOrders")
   .marshal(bindy)
   .to("file://outbox")

This is really easy to use Spring as your favorite DSL language to declare the routes to be used for camel-bindy. The following example shows two routes where the first will pick-up records from files, unmarshal the content and bind it to their model. The result is then send to a pojo (doing nothing special) and place them into a queue.

The second route will extract the pojos from the queue and marshal the content to generate a file containing the csv record. The example above is for using Camel 2.16 onwards.

spring dsl

<?xml version="1.0" encoding="UTF-8"?>

<beans xmlns="http://www.springframework.org/schema/beans"
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="
       http://www.springframework.org/schema/beans
       http://www.springframework.org/schema/beans/spring-beans.xsd
       http://camel.apache.org/schema/spring
       http://camel.apache.org/schema/spring/camel-spring.xsd">

    <!-- Queuing engine - ActiveMq - work locally in mode virtual memory -->
    <bean id="activemq" class="org.apache.activemq.camel.component.ActiveMQComponent">
        <property name="brokerURL" value="vm://localhost:61616"/>
    </bean>

    <camelContext xmlns="http://camel.apache.org/schema/spring">
        <dataFormats>
          <bindy id="bindyDataformat" type="Csv" classType="org.apache.camel.bindy.model.Order"/>
        </dataFormats>

        <route>
            <from uri="file://src/data/csv/?noop=true" />
            <unmarshal ref="bindyDataformat" />
            <to uri="bean:csv" />
            <to uri="activemq:queue:in" />
        </route>

        <route>
            <from uri="activemq:queue:in" />
            <marshal ref="bindyDataformat" />
            <to uri="file://src/data/csv/out/" />
        </route>
    </camelContext>
</beans>

To use Bindy in your camel routes you need to add the a dependency on camel-bindy which implements this data format.

If you use maven you could just add the following to your pom.xml, substituting the version number for the latest & greatest release (see the download page for the latest versions).

<dependency>
  <groupId>org.apache.camel</groupId>
  <artifactId>camel-bindy</artifactId>
  <version>x.x.x</version>
</dependency>