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[[flatpack-component]]
= Flatpack Component
:page-source: components/camel-flatpack/src/main/docs/flatpack-component.adoc
*Available as of Camel version 1.4*
The Flatpack component supports fixed width and delimited file parsing
via the http://flatpack.sourceforge.net[FlatPack library]. +
*Notice:* This component only supports consuming from flatpack files to
Object model. You can not (yet) write from Object model to flatpack
format.
Maven users will need to add the following dependency to their `pom.xml`
for this component:
[source,xml]
------------------------------------------------------------
<dependency>
<groupId>org.apache.camel</groupId>
<artifactId>camel-flatpack</artifactId>
<version>x.x.x</version>
<!-- use the same version as your Camel core version -->
</dependency>
------------------------------------------------------------
== URI format
[source,java]
---------------------------------------------------------
flatpack:[delim|fixed]:flatPackConfig.pzmap.xml[?options]
---------------------------------------------------------
Or for a delimited file handler with no configuration file just use
[source,java]
---------------------------
flatpack:someName[?options]
---------------------------
You can append query options to the URI in the following format,
`?option=value&option=value&...`
== URI Options
// component options: START
The Flatpack component supports 1 options, which are listed below.
[width="100%",cols="2,5,^1,2",options="header"]
|===
| Name | Description | Default | Type
| *basicPropertyBinding* (advanced) | Whether the component should use basic property binding (Camel 2.x) or the newer property binding with additional capabilities | false | boolean
|===
// component options: END
// endpoint options: START
The Flatpack endpoint is configured using URI syntax:
----
flatpack:type:resourceUri
----
with the following path and query parameters:
=== Path Parameters (2 parameters):
[width="100%",cols="2,5,^1,2",options="header"]
|===
| Name | Description | Default | Type
| *type* | Whether to use fixed or delimiter | delim | FlatpackType
| *resourceUri* | *Required* URL for loading the flatpack mapping file from classpath or file system | | String
|===
=== Query Parameters (28 parameters):
[width="100%",cols="2,5,^1,2",options="header"]
|===
| Name | Description | Default | Type
| *allowShortLines* (common) | Allows for lines to be shorter than expected and ignores the extra characters | false | boolean
| *delimiter* (common) | The default character delimiter for delimited files. | , | char
| *ignoreExtraColumns* (common) | Allows for lines to be longer than expected and ignores the extra characters | false | boolean
| *ignoreFirstRecord* (common) | Whether the first line is ignored for delimited files (for the column headers). | true | boolean
| *splitRows* (common) | Sets the Component to send each row as a separate exchange once parsed | true | boolean
| *textQualifier* (common) | The text qualifier for delimited files. | | char
| *bridgeErrorHandler* (consumer) | Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions occurred while the consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored. | false | boolean
| *sendEmptyMessageWhenIdle* (consumer) | If the polling consumer did not poll any files, you can enable this option to send an empty message (no body) instead. | false | boolean
| *exceptionHandler* (consumer) | To let the consumer use a custom ExceptionHandler. Notice if the option bridgeErrorHandler is enabled then this option is not in use. By default the consumer will deal with exceptions, that will be logged at WARN or ERROR level and ignored. | | ExceptionHandler
| *exchangePattern* (consumer) | Sets the exchange pattern when the consumer creates an exchange. | | ExchangePattern
| *pollStrategy* (consumer) | A pluggable org.apache.camel.PollingConsumerPollingStrategy allowing you to provide your custom implementation to control error handling usually occurred during the poll operation before an Exchange have been created and being routed in Camel. | | PollingConsumerPollStrategy
| *lazyStartProducer* (producer) | Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel's routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. | false | boolean
| *basicPropertyBinding* (advanced) | Whether the endpoint should use basic property binding (Camel 2.x) or the newer property binding with additional capabilities | false | boolean
| *synchronous* (advanced) | Sets whether synchronous processing should be strictly used, or Camel is allowed to use asynchronous processing (if supported). | false | boolean
| *backoffErrorThreshold* (scheduler) | The number of subsequent error polls (failed due some error) that should happen before the backoffMultipler should kick-in. | | int
| *backoffIdleThreshold* (scheduler) | The number of subsequent idle polls that should happen before the backoffMultipler should kick-in. | | int
| *backoffMultiplier* (scheduler) | To let the scheduled polling consumer backoff if there has been a number of subsequent idles/errors in a row. The multiplier is then the number of polls that will be skipped before the next actual attempt is happening again. When this option is in use then backoffIdleThreshold and/or backoffErrorThreshold must also be configured. | | int
| *delay* (scheduler) | Milliseconds before the next poll. You can also specify time values using units, such as 60s (60 seconds), 5m30s (5 minutes and 30 seconds), and 1h (1 hour). | 500 | long
| *greedy* (scheduler) | If greedy is enabled, then the ScheduledPollConsumer will run immediately again, if the previous run polled 1 or more messages. | false | boolean
| *initialDelay* (scheduler) | Milliseconds before the first poll starts. You can also specify time values using units, such as 60s (60 seconds), 5m30s (5 minutes and 30 seconds), and 1h (1 hour). | 1000 | long
| *repeatCount* (scheduler) | Specifies a maximum limit of number of fires. So if you set it to 1, the scheduler will only fire once. If you set it to 5, it will only fire five times. A value of zero or negative means fire forever. | 0 | long
| *runLoggingLevel* (scheduler) | The consumer logs a start/complete log line when it polls. This option allows you to configure the logging level for that. | TRACE | LoggingLevel
| *scheduledExecutorService* (scheduler) | Allows for configuring a custom/shared thread pool to use for the consumer. By default each consumer has its own single threaded thread pool. | | ScheduledExecutorService
| *scheduler* (scheduler) | To use a cron scheduler from either camel-spring or camel-quartz component | none | String
| *schedulerProperties* (scheduler) | To configure additional properties when using a custom scheduler or any of the Quartz, Spring based scheduler. | | Map
| *startScheduler* (scheduler) | Whether the scheduler should be auto started. | true | boolean
| *timeUnit* (scheduler) | Time unit for initialDelay and delay options. | MILLISECONDS | TimeUnit
| *useFixedDelay* (scheduler) | Controls if fixed delay or fixed rate is used. See ScheduledExecutorService in JDK for details. | true | boolean
|===
// endpoint options: END
// spring-boot-auto-configure options: START
== Spring Boot Auto-Configuration
When using Spring Boot make sure to use the following Maven dependency to have support for auto configuration:
[source,xml]
----
<dependency>
<groupId>org.apache.camel</groupId>
<artifactId>camel-flatpack-starter</artifactId>
<version>x.x.x</version>
<!-- use the same version as your Camel core version -->
</dependency>
----
The component supports 12 options, which are listed below.
[width="100%",cols="2,5,^1,2",options="header"]
|===
| Name | Description | Default | Type
| *camel.component.flatpack.basic-property-binding* | Whether the component should use basic property binding (Camel 2.x) or the newer property binding with additional capabilities | false | Boolean
| *camel.component.flatpack.enabled* | Enable flatpack component | true | Boolean
| *camel.dataformat.flatpack.allow-short-lines* | Allows for lines to be shorter than expected and ignores the extra characters | false | Boolean
| *camel.dataformat.flatpack.content-type-header* | Whether the data format should set the Content-Type header with the type from the data format if the data format is capable of doing so. For example application/xml for data formats marshalling to XML, or application/json for data formats marshalling to JSon etc. | false | Boolean
| *camel.dataformat.flatpack.definition* | The flatpack pzmap configuration file. Can be omitted in simpler situations, but its preferred to use the pzmap. | | String
| *camel.dataformat.flatpack.delimiter* | The delimiter char (could be ; , or similar) | , | String
| *camel.dataformat.flatpack.enabled* | Enable flatpack dataformat | true | Boolean
| *camel.dataformat.flatpack.fixed* | Delimited or fixed. Is by default false = delimited | false | Boolean
| *camel.dataformat.flatpack.ignore-extra-columns* | Allows for lines to be longer than expected and ignores the extra characters. | false | Boolean
| *camel.dataformat.flatpack.ignore-first-record* | Whether the first line is ignored for delimited files (for the column headers). Is by default true. | true | Boolean
| *camel.dataformat.flatpack.parser-factory-ref* | References to a custom parser factory to lookup in the registry | | String
| *camel.dataformat.flatpack.text-qualifier* | If the text is qualified with a character. Uses quote character by default. | | String
|===
// spring-boot-auto-configure options: END
== Examples
* `flatpack:fixed:foo.pzmap.xml` creates a fixed-width endpoint using
the `foo.pzmap.xml` file configuration.
* `flatpack:delim:bar.pzmap.xml` creates a delimited endpoint using the
`bar.pzmap.xml` file configuration.
* `flatpack:foo` creates a delimited endpoint called `foo` with no file
configuration.
== Message Headers
Camel will store the following headers on the IN message:
[width="100%",cols="50%,50%",options="header",]
|=======================================================================
|Header |Description
|`camelFlatpackCounter` |The current row index. For `splitRows=false` the counter is the total
number of rows.
|=======================================================================
== Message Body
The component delivers the data in the IN message as a
`org.apache.camel.component.flatpack.DataSetList` object that has
converters for `java.util.Map` or `java.util.List`. +
Usually you want the `Map` if you process one row at a time
(`splitRows=true`). Use `List` for the entire content
(`splitRows=false`), where each element in the list is a `Map`. +
Each `Map` contains the key for the column name and its corresponding
value.
For example to get the firstname from the sample below:
[source,java]
------------------------------------------------
Map row = exchange.getIn().getBody(Map.class);
String firstName = row.get("FIRSTNAME");
------------------------------------------------
However, you can also always get it as a `List` (even for
`splitRows=true`). The same example:
[source,java]
---------------------------------------------------
List data = exchange.getIn().getBody(List.class);
Map row = (Map)data.get(0);
String firstName = row.get("FIRSTNAME");
---------------------------------------------------
== Header and Trailer records
The header and trailer notions in Flatpack are supported. However, you
*must* use fixed record IDs:
* `header` for the header record (must be lowercase)
* `trailer` for the trailer record (must be lowercase)
The example below illustrates this fact that we have a header and a
trailer. You can omit one or both of them if not needed.
[source,xml]
---------------------------------------------------------------------------
<RECORD id="header" startPosition="1" endPosition="3" indicator="HBT">
<COLUMN name="INDICATOR" length="3"/>
<COLUMN name="DATE" length="8"/>
</RECORD>
<COLUMN name="FIRSTNAME" length="35" />
<COLUMN name="LASTNAME" length="35" />
<COLUMN name="ADDRESS" length="100" />
<COLUMN name="CITY" length="100" />
<COLUMN name="STATE" length="2" />
<COLUMN name="ZIP" length="5" />
<RECORD id="trailer" startPosition="1" endPosition="3" indicator="FBT">
<COLUMN name="INDICATOR" length="3"/>
<COLUMN name="STATUS" length="7"/>
</RECORD>
---------------------------------------------------------------------------
== Using the endpoint
A common use case is sending a file to this endpoint for further
processing in a separate route. For example:
[source,xml]
-----------------------------------------------------------------------
<camelContext xmlns="http://activemq.apache.org/camel/schema/spring">
<route>
<from uri="file://someDirectory"/>
<to uri="flatpack:foo"/>
</route>
<route>
<from uri="flatpack:foo"/>
...
</route>
</camelContext>
-----------------------------------------------------------------------
You can also convert the payload of each message created to a `Map` for
easy Bean Integration
== Flatpack DataFormat
The xref:flatpack-component.adoc[Flatpack] component ships with the Flatpack data
format that can be used to format between fixed width or delimited text
messages to a `List` of rows as `Map`.
* marshal = from `List<Map<String, Object>>` to `OutputStream` (can be
converted to `String`)
* unmarshal = from `java.io.InputStream` (such as a `File` or `String`)
to a `java.util.List` as an
`org.apache.camel.component.flatpack.DataSetList` instance. +
The result of the operation will contain all the data. If you need to
process each row one by one you can split the exchange, using
Splitter.
*Notice:* The Flatpack library does currently not support header and
trailers for the marshal operation.
== Options
The data format has the following options:
[width="100%",cols="10%,10%,80%",options="header",]
|=======================================================================
|Option |Default |Description
|`definition` |`null` |The flatpack pzmap configuration file. Can be omitted in simpler
situations, but its preferred to use the pzmap.
|`fixed` |`false` |Delimited or fixed.
|`ignoreFirstRecord` |`true` |Whether the first line is ignored for delimited files (for the column
headers).
|`textQualifier` |`"` |If the text is qualified with a char such as `"`.
|`delimiter` |`,` |The delimiter char (could be `;` `,` or similar)
|`parserFactory` |`null` |Uses the default Flatpack parser factory.
|`allowShortLines` |`false` |Allows for lines to be shorter than
expected and ignores the extra characters.
|`ignoreExtraColumns` |`false` |Allows for lines to be longer than
expected and ignores the extra characters.
|=======================================================================
== Usage
To use the data format, simply instantiate an instance and invoke the
marshal or unmarshal operation in the route builder:
[source,java]
---------------------------------------------------------------------------
FlatpackDataFormat fp = new FlatpackDataFormat();
fp.setDefinition(new ClassPathResource("INVENTORY-Delimited.pzmap.xml"));
...
from("file:order/in").unmarshal(df).to("seda:queue:neworder");
---------------------------------------------------------------------------
The sample above will read files from the `order/in` folder and
unmarshal the input using the Flatpack configuration file
`INVENTORY-Delimited.pzmap.xml` that configures the structure of the
files. The result is a `DataSetList` object we store on the SEDA queue.
[source,java]
-----------------------------------------------------------------------------------
FlatpackDataFormat df = new FlatpackDataFormat();
df.setDefinition(new ClassPathResource("PEOPLE-FixedLength.pzmap.xml"));
df.setFixed(true);
df.setIgnoreFirstRecord(false);
from("seda:people").marshal(df).convertBodyTo(String.class).to("jms:queue:people");
-----------------------------------------------------------------------------------
In the code above we marshal the data from a Object representation as a
`List` of rows as `Maps`. The rows as `Map` contains the column name as
the key, and the corresponding value. This structure can be created
in Java code from e.g. a processor. We marshal the data according to the
Flatpack format and convert the result as a `String` object and store it
on a JMS queue.
== Dependencies
To use Flatpack in your camel routes you need to add the a dependency on
*camel-flatpack* 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-flatpack</artifactId>
<version>x.x.x</version>
</dependency>
-----------------------------------------