[[bindy-dataformat]]
= Bindy DataFormat
:docTitle: Bindy
:shortname: bindy
:artifactId: camel-bindy
:description: Marshal and unmarshal between POJOs and key-value pair (KVP) format using Camel Bindy
:since: 2.0
:supportLevel: Stable
//Manually maintained attributes
:camel-spring-boot-name: bindy

*Since Camel {since}*

The goal of this component is to allow the parsing/binding of
non-structured data (or to be more precise non-XML data) +
 to/from Java Beans that have binding mappings defined with annotations.
Using Bindy, you can bind data from sources such as :

* CSV records,
* Fixed-length records,
* FIX messages,
* or almost any other non-structured data

to one or many Plain Old Java Object (POJO). Bindy converts the data
according to the type of the java property. POJOs can be linked together
with one-to-many relationships available in some cases. Moreover, for
data type like Date, Double, Float, Integer, Short, Long and BigDecimal,
you can provide the pattern to apply during the formatting of the
property.

For the BigDecimal numbers, you can also define the precision and the
decimal or grouping separators.

[width="100%",cols="10%,10%m,10%m,70%",options="header",]
|===
|Type |Format Type |Pattern example |Link

|Date |DateFormat |dd-MM-yyyy |https://docs.oracle.com/javase/8/docs/api/java/text/SimpleDateFormat.html

|Decimal* |DecimalFormat |+##.###.###+ |https://docs.oracle.com/javase/8/docs/api/java/text/DecimalFormat.html
|===

*Decimal = Double, Integer, Float, Short, Long

*Format supported*

This first release only support comma separated values fields and key
value pair fields (e.g. : FIX messages).

To work with camel-bindy, you must first define your model in a package
(e.g. com.acme.model) and for each model class (e.g. Order, Client,
Instrument, ...) add the required annotations (described hereafter) to
the Class or field.

*Multiple models*

As you configure bindy using class names instead of package names
you can put multiple models in the same package.

== Options

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



[width="100%",cols="2s,1m,1m,6",options="header"]
|===
| Name | Default | Java Type | Description
| type |  | BindyType | Whether to use Csv, Fixed, or KeyValue. There are 3 enums and the value can be one of: Csv, Fixed, KeyValue
| classType |  | String | Name of model class to use.
| locale |  | String | To configure a default locale to use, such as us for united states. To use the JVM platform default locale then use the name default
| unwrapSingleInstance | true | Boolean | When unmarshalling should a single instance be unwrapped and returned instead of wrapped in a java.util.List.
| allowEmptyStream | false | Boolean | Whether to allow empty streams in the unmarshal process. If true, no exception will be thrown when a body without records is provided.
|===
// dataformat options: END



== Annotations

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

* Type of record (CSV, key value pair (e.g. FIX message), fixed length
...),
* Link (to link object in another object),
* DataField and their properties (int, type, ...),
* KeyValuePairField (for key = value format like we have in FIX
financial messages),
* Section (to identify header, body and footer section),
* OneToMany,
* BindyConverter,
* FormatFactories

This section will describe them.

=== 1. CsvRecord

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.

[width="100%",cols="15%s,15%,60%",options="header",]
|===
|Annotation name |Record type |Level

|CsvRecord |CSV |Class
|===

// annotation interface: org.apache.camel.dataformat.bindy.annotation.CsvRecord
// annotation options: START
[width="100%",cols="10%,10%,10%,10%,60%",options="header",]
|===
| Parameter name | Type | Required | Default value | Info

| separator | String | &#10003; |  a| Separator used to split a record in tokens (mandatory) - can be ',' or ';' or 'anything'. The only whitespace
character supported is tab (\t). No other whitespace characters (spaces) are not supported. This value is
interpreted as a regular expression. If you want to use a sign which has a special meaning in regular
expressions, e.g. the '\|' sign, then you have to mask it, like '\|'

| allowEmptyStream | boolean |  | false | The allowEmptyStream parameter will allow to prcoess the unavaiable stream for CSV file.

| autospanLine | boolean |  | false a| Last record spans rest of line (optional) - if enabled then the last column is auto spanned to end of line, for
example if its a comment, etc this allows the line to contain all characters, also the delimiter char.

| crlf | String |  | WINDOWS a| Character to be used to add a carriage return after each record (optional) - allow to define the carriage return
character to use. If you specify a value other than the three listed before, the value you enter (custom) will be
used as the CRLF character(s). Three values can be used : WINDOWS, UNIX, MAC, or custom.

| endWithLineBreak | boolean |  | true | The endWithLineBreak parameter flags if the CSV file should end with a line break or not (optional)

| generateHeaderColumns | boolean |  | false | The generateHeaderColumns parameter allow to add in the CSV generated the header containing names of the columns

| isOrdered | boolean |  | false | Indicates if the message must be ordered in output

| name | String |  |  | Name describing the record (optional)

| quote | String |  | " a| Whether to marshal columns with the given quote character (optional) - allow to specify a quote character of the
fields when CSV is generated. This annotation is associated to the root class of the model and must be declared
one time.

| quoting | boolean |  | false | Indicate if the values (and headers) must be quoted when marshaling (optional)

| quotingEscaped | boolean |  | false | Indicate if the values must be escaped when quoting (optional)

| removeQuotes | boolean |  | true | The remove quotes parameter flags if unmarshalling should try to remove quotes for each field

| skipField | boolean |  | false a| The skipField parameter will allow to skip fields of a CSV file. If some fields are not necessary, they can be
skipped.

| skipFirstLine | boolean |  | false a| The skipFirstLine parameter will allow to skip or not the first line of a CSV file. This line often contains
columns definition

|===
// annotation options: END

*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
----

[source,java]
----
@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
----

[source,java]
----
@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
----

[source,java]
----
@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 should 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 single or double quotes
as delimiter (e.g : '10', 'Street 10, NY', 'USA' or "10", "Street 10,
NY", "USA").

NOTE: In this case, the first and last character of the line which
are a single or double quotes will be removed by bindy.

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

[source,java]
----
@CsvRecord( separator = "\",\"" )
public Class Order {

}
----

Bindy automatically detects 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 simply do as below:

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

[source,java]
----
@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:

[source,java]
----
@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 :

[source,java]
----
@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 :

[source,java]
----
@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, then you can change the crlf property like this. Three values
are available : WINDOWS, UNIX or MAC

[source,java]
----
@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:

[source,java]
----
@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.

[source,java]
----
@CsvRecord(isOrdered = true)
public Class Order {

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

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

}
----

NOTE: `pos` is used to parse the file stream, while `position` is used
to generate the CSV.

=== 2. Link

The link annotation will allow to link objects together.

[width="100%",cols="15%s,15%,60%",options="header",]
|===
|Annotation name |Record type |Level

|Link |all |Class & Property
|===

// annotation interface: org.apache.camel.dataformat.bindy.annotation.Link
// annotation options: START
[width="100%",cols="10%,10%,10%,10%,60%",options="header",]
|===
| Parameter name | Type | Required | Default value | Info

| linkType | LinkType |  | OneToOne | Type of link identifying the relation between the classes

|===
// annotation options: END

Only one-to-one relation is allowed as of the current version.

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*

[source,java]
----
@CsvRecord(separator = ",")
public class Order {

    @DataField(pos = 1)
    private int orderNr;

    @Link
    private Client client;
}
----

And for the class Client :

*Class Link*

[source,java]
----
@Link
public class Client {

}
----

=== 3. DataField

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.

[width="100%",cols="15%s,15%,60%",options="header",]
|===
|Annotation name |Record type |Level

|DataField |all |Property
|===

// annotation interface: org.apache.camel.dataformat.bindy.annotation.DataField
// annotation options: START
[width="100%",cols="10%,10%,10%,10%,60%",options="header",]
|===
| Parameter name | Type | Required | Default value | Info

| pos | int | &#10003; |  | Position of the data in the input record, must start from 1 (mandatory). See the position parameter.

| align | String |  | R | Align the text to the right or left. Use values <tt>R</tt> or <tt>L</tt>.

| clip | boolean |  | false | Indicates to clip data in the field if it exceeds the allowed length when using fixed length.

| columnName | String |  |  a| Name of the header column (optional). Uses the name of the property as default. Only applicable when `CsvRecord`
has `generateHeaderColumns = true`

| decimalSeparator | String |  |  | Decimal Separator to be used with BigDecimal number

| defaultValue | String |  |  | Field's default value in case no value is set

| delimiter | String |  |  | Optional delimiter to be used if the field has a variable length

| groupingSeparator | String |  |  a| Grouping Separator to be used with BigDecimal number when we would like to format/parse to number with grouping
e.g. 123,456.789

| impliedDecimalSeparator | boolean |  | false | Indicates if there is a decimal point implied at a specified location

| length | int |  | 0 | Length of the data block (number of characters) if the record is set to a fixed length

| lengthPos | int |  | 0 | Identifies a data field in the record that defines the expected fixed length for this field

| method | String |  |  a| Method name to call to apply such customization on DataField. This must be the method on the datafield itself or
you must provide static fully qualified name of the class's method e.g: see unit test
org.apache.camel.dataformat.bindy.csv.BindySimpleCsvFunctionWithExternalMethodTest.replaceToBar

| name | String |  |  | Name of the field (optional)

| paddingChar | char |  |   | The char to pad with if the record is set to a fixed length

| pattern | String |  |  a| Pattern that the Java formatter (SimpleDateFormat by example) will use to transform the data (optional). If using
pattern, then setting locale on bindy data format is recommended. Either set to a known locale such as "us" or
use "default" to use platform default locale.

| position | int |  | 0 a| Position of the field in the output message generated (should start from 1). Must be used when the position of
the field in the CSV generated (output message) must be different compare to input position (pos). See the pos
parameter.

| precision | int |  | 0 | precision of the {@link java.math.BigDecimal} number to be created

| required | boolean |  | false | Indicates if the field is mandatory

| rounding | String |  | CEILING a| Round mode to be used to round/scale a BigDecimal Values : UP, DOWN, CEILING, FLOOR, HALF_UP,
HALF_DOWN,HALF_EVEN, UNNECESSARY e.g : Number = 123456.789, Precision = 2, Rounding = CEILING Result : 123456.79

| timezone | String |  |  | Timezone to be used.

| trim | boolean |  | false | Indicates if the value should be trimmed

|===
// annotation options: END

*case 1 : pos*

This parameter/attribute represents the position of the field in the CSV
record.

*Position*

[source,java]
----
@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*

[source,java]
----
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*

[source,java]
----
@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*

[source,java]
----
@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) then we can use `position` to indicate this.

Here is an example:

*Position is different in output*

[source,java]
----
@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` set to
true.

*Required*

[source,java]
----
@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, then 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` set to
true.

*Trim*

[source,java]
----
@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*

[source,java]
----
@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;
}
----

*case 8 : columnName*

Specifies the column name for the property only if `@CsvRecord` has annotation `generateHeaderColumns = true`.

*Column Name*
[source,java]
----
@CsvRecord(separator = ",", generateHeaderColumns = true)
public class Order {

    @DataField(pos = 1)
    private int orderNr;

    @DataField(pos = 5, columnName = "ISIN")
    private String isinCode;

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

This attribute is only applicable to optional fields.

=== 4. FixedLengthRecord

The FixedLengthRecord annotation is used to identified the root class of
the model. It represents a record = "a line of a file/message containing
data fixed length (number of characters) formatted" and can be linked to several children model
classes. This format is a bit 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.

[width="100%",cols="15%s,15%,60%",options="header",]
|===
|Annotation name |Record type |Level

|FixedLengthRecord |fixed |Class
|===

// annotation interface: org.apache.camel.dataformat.bindy.annotation.FixedLengthRecord
// annotation options: START
[width="100%",cols="10%,10%,10%,10%,60%",options="header",]
|===
| Parameter name | Type | Required | Default value | Info

| countGrapheme | boolean |  | false | Indicates how chars are counted

| crlf | String |  | WINDOWS a| Character to be used to add a carriage return after each record (optional). Possible values: WINDOWS, UNIX, MAC,
or custom. This option is used only during marshalling, whereas unmarshalling uses system default JDK provided
line delimiter unless eol is customized.

| eol | String |  |  a| Character to be used to process considering end of line after each record while unmarshalling (optional -
default: "", which help default JDK provided line delimiter to be used unless any other line delimiter provided)
This option is used only during unmarshalling, where marshalling uses system default provided line delimiter as
"WINDOWS" unless any other value is provided.

| footer | Class |  | void | Indicates that the record(s) of this type may be followed by a single footer record at the end of the file

| header | Class |  | void a| Indicates that the record(s) of this type may be preceded by a single header record at the beginning of in the
file

| ignoreMissingChars | boolean |  | false | Indicates whether too short lines will be ignored

| ignoreTrailingChars | boolean |  | false a| Indicates that characters beyond the last mapped filed can be ignored when unmarshalling / parsing. This
annotation is associated to the root class of the model and must be declared one time.

| length | int |  | 0 a| The fixed length of the record (number of characters). It means that the record will always be that long padded
with {#paddingChar()}'s

| name | String |  |  | Name describing the record (optional)

| paddingChar | char |  |   | The char to pad with.

| skipFooter | boolean |  | false a| Configures the data format to skip marshalling / unmarshalling of the footer record. Configure this parameter on
the primary record (e.g., not the header or footer).

| skipHeader | boolean |  | false a| Configures the data format to skip marshalling / unmarshalling of the header record. Configure this parameter on
the primary record (e.g., not the header or footer).

|===
// annotation options: END

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*

[source,java]
----
@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 show how to define the alignment for a
field and how to assign a padding character which is `' '` here:

----
10A9 PaulineM ISINXD12345678BUYShare2500.45USD01-08-2009
----

*Fixed-padding-align*

[source,java]
----
@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 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, you can use in the model the attribute
`paddingChar` on `@DataField` to set this value.

----
10A9 PaulineM ISINXD12345678BUYShare000002500.45USD01-08-2009
----

*Fixed-padding-field*

[source,java]
----
@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.
The firstName and lastName fields are delimited with the `^` character
in the following example:

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

*Fixed-delimited*

[source,java]
----
@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, 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 define 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*

[source,java]
----
@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*

[source,java]
----
@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.

[source,java]
----
@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

}
----

=== 5. Message

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`)

[NOTE]
====
*FIX information*

More information about FIX can be found on this web site :
http://www.fixprotocol.org/[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/[http://www.quickfixj.org/].
====

[width="100%",cols="15%s,15%,60%",options="header",]
|===
|Annotation name |Record type |Level

|Message |key value pair |Class
|===

// annotation interface: org.apache.camel.dataformat.bindy.annotation.Message
// annotation options: START
[width="100%",cols="10%,10%,10%,10%,60%",options="header",]
|===
| Parameter name | Type | Required | Default value | Info

| keyValuePairSeparator | String | &#10003; |  a| Key value pair separator is used to split the values from their keys (mandatory). Can be '\u0001', '\u0009', '#',
or 'anything'.

| pairSeparator | String | &#10003; |  | Pair separator used to split the key value pairs in tokens (mandatory). Can be '=', ';', or 'anything'.

| crlf | String |  | WINDOWS a| Character to be used to add a carriage return after each record (optional). Possible values = WINDOWS, UNIX, MAC,
or custom. If you specify a value other than the three listed before, the value you enter (custom) will be used
as the CRLF character(s).

| isOrdered | boolean |  | false a| Indicates if the message must be ordered in output. This annotation is associated to the message class of the
model and must be declared one time.

| name | String |  |  | Name describing the message (optional)

| type | String |  | FIX | type is used to define the type of the message (e.g. FIX, EMX, ...) (optional)

| version | String |  | 4.1 | version defines the version of the message (e.g. 4.1, ...) (optional)

|===
// annotation options: END

*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*

[source,java]
----
@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 (https://github.com/apache/camel/blob/main/components/camel-bindy/src/test/data/fix/fix.txt[src/test/data/fix/fix.txt]) and the Order, Trailer,
Header classes
(https://github.com/apache/camel/blob/main/components/camel-bindy/src/test/java/org/apache/camel/dataformat/bindy/model/fix/simple/Order.java[src/test/java/org/apache/camel/dataformat/bindy/model/fix/simple/Order.java]).

=== 6. KeyValuePairField

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.

[width="100%",cols="15%s,15%,60%",options="header",]
|===
|Annotation name |Record type |Level

|KeyValuePairField |Key Value Pair - FIX |Property
|===

// annotation interface: org.apache.camel.dataformat.bindy.annotation.KeyValuePairField
// annotation options: START
[width="100%",cols="10%,10%,10%,10%,60%",options="header",]
|===
| Parameter name | Type | Required | Default value | Info

| tag | int | &#10003; |  | tag identifying the field in the message (mandatory) - must be unique

| impliedDecimalSeparator | boolean |  | false | <b>Camel 2.11:</b> Indicates if there is a decimal point implied at a specified location

| name | String |  |  | name of the field (optional)

| pattern | String |  |  | pattern that the formater will use to transform the data (optional)

| position | int |  | 0 a| Position of the field in the message generated - must be used when the position of the key/tag in the FIX message
must be different

| precision | int |  | 0 | precision of the BigDecimal number to be created

| required | boolean |  | false | Indicates if the field is mandatory

| timezone | String |  |  | Timezone to be used.

|===
// annotation options: END

*case 1 : tag*

This parameter represents the key of the field in the message:

*FIX message - Tag*

[source,java]
----
@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*

[source,java]
----
@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;
}
----

=== 7. Section

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.

[width="100%",cols="15%s,15%,60%",options="header",]
|===
|Annotation name |Record type |Level

|Section |FIX |Class
|===

// annotation interface: org.apache.camel.dataformat.bindy.annotation.Section
// annotation options: START
[width="100%",cols="10%,10%,10%,10%,60%",options="header",]
|===
| Parameter name | Type | Required | Default value | Info

| number | int | &#10003; |  | Number of the section

|===
// annotation options: END

*case 1 : Section*

Definition of the header section:

*FIX message - Section - Header*

[source,java]
----
@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*

[source,java]
----
@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*

[source,java]
----
@Section(number = 3)
public class Trailer {

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

    public int getCheckSum() {
        return checkSum;
    }
----

=== 8. OneToMany

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.

[WARNING]
====
*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 :

* Reading a FIX message containing repetitive groups (= group of
tags/keys)
* Generating a CSV with repetitive data
====

[width="100%",cols="15%s,15%,60%",options="header",]
|===
|Annotation name |Record type |Level

|OneToMany |all |Property
|===

// annotation interface: org.apache.camel.dataformat.bindy.annotation.OneToMany
// annotation options: START
[width="100%",cols="10%,10%,10%,10%,60%",options="header",]
|===
| Parameter name | Type | Required | Default value | Info

| mappedTo | String |  |  | Class name associated to the type of the List<Type of the Class>

|===
// annotation options: END

*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
----

NOTE: 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*

[source,java]
----
@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*

[source,java]
----
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;
}
----

=== 9. BindyConverter

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

[source,java]
----
@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();
    }
}
----

=== 10. FormatFactories

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

[source,java]
----
@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);
            }
        };
    }
}
----

== Supported Datatypes

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

* BigDecimal
* BigInteger
* Boolean
* Byte
* Character
* Date
* Double
* Enums
* Float
* Integer
* LocalDate
* LocalDateTime
* LocalTime
* Long
* Short
* String

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

== Using the Java DSL

The next step instantiates the DataFormat _bindy_ class
associated with this record type and providing a class as a parameter.

For example the following uses the class `BindyCsvDataFormat` (which
corresponds to the class associated with the CSV record type) which is
configured with _com.acme.model.MyModel.class_ to initialize the model objects
configured in this package.

[source,java]
----
DataFormat bindy = new BindyCsvDataFormat(com.acme.model.MyModel.class);
----

=== Setting locale

Bindy supports configuring the locale on the dataformat, such as 

[source,java]
----
BindyCsvDataFormat bindy = new BindyCsvDataFormat(com.acme.model.MyModel.class);

bindy.setLocale("us");
----

Or to use the platform default locale then use "default" as the locale
name.

[source,java]
----
BindyCsvDataFormat bindy = new BindyCsvDataFormat(com.acme.model.MyModel.class);

bindy.setLocale("default");
----

=== Unmarshaling

[source,java]
----
from("file://inbox")
  .unmarshal(bindy)
  .to("direct:handleOrders");
----

Alternatively, you can use a named reference to a data format which can
then be defined in your Registry e.g. your
Spring XML file:

[source,java]
----
from("file://inbox")
  .unmarshal("myBindyDataFormat")
  .to("direct:handleOrders");
----

The Camel route will pick-up files in the inbox directory, unmarshall
CSV records into a collection of model objects and send the collection +
 to the route referenced by `handleOrders`.

The collection returned is a *List of Map* objects. Each Map within the
list contains the model objects that were marshalled out of each line of
the CSV. The reason behind this is that _each line can correspond to
more than one object_. This can be confusing when you simply expect one
object to be returned per line.

Each object can be retrieve using its class name.

[source,java]
----
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);
----

Assuming that you want to extract a single Order object from this map
for processing in a route, you could use a combination of a
Splitter and a Processor as per
the following:

[source,java]
----
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();
----

Take care of the fact that Bindy uses CHARSET_NAME property or the CHARSET_NAME header as define in the
Exchange interface to do a characterset conversion of the inputstream received for unmarshalling.
In some producers (e.g. file-endpoint) you can define a characterset. The characterset conversion
can already been done by this producer. Sometimes you need to remove this property or header from the
exchange before sending it to the unmarshal. If you don't remove it the conversion might be done twice
which might lead to unwanted results.

[source,java]
----
from("file://inbox?charset=Cp922")
  .removeProperty(Exchange.CHARSET_NAME)
  .unmarshal("myBindyDataFormat")
  .to("direct:handleOrders");
----

=== Marshaling

To generate CSV records from a collection of model objects, you create
the following route :

[source,java]
----
from("direct:handleOrders")
   .marshal(bindy)
   .to("file://outbox")
----

== Using Spring XML

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.

*Spring DSL*

[source,xml]
----
<?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>
----

[NOTE]
====
Please verify that your model classes implements serializable otherwise
the queue manager will raise an error.
====

== Dependencies

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).

[source,java]
--------------------------------------
<dependency>
  <groupId>org.apache.camel</groupId>
  <artifactId>camel-bindy</artifactId>
  <version>x.x.x</version>
</dependency>
--------------------------------------


include::spring-boot:partial$starter.adoc[]
