You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 4 Next »

Flatpack DataFormat

The 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, String) to a List (org.apache.camel.component.flatpack.DataSetList)
    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 the splitter DSL.

Notice: The Flatpack library does currently not support header and trailers for the marshal operation.

Options

The DataFormat has the following options:

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 (; , or the likes)

parserFactory

null

Uses the default Flatpack parser factory

Usage

To use the data format simply instantiate an instance and invoke the marhsal or unmarshl operation in the route builder:

  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.

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 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 converts the result as a String object and store it on a jms queue.

  • No labels