Data transformation is the process of converting data from one format (e.g. a database file, XML document, or Excel sheet) to another

1. CSV to XML transformation in Mule
BY
NAGARJUNA REDDY k

2. Today we will be discussing on transformation of CSV to
XML format of data.
The configuration details for each of the Mule flow
component is explained below.
The first component of the flow is File Endpoint.

3. The File endpoint is configured to pick up files from specific
location and on completion of processing move it to a pre-defined
location. The developer is free to choose location as per his/her
convenience.
For our demonstration, in the General tab, configure the following
Path –
C:Usersantonio.pellegrinoAnypointStudioworkspacetestcsvtox
mlsrctestresourcesinput
Move to Directory – C:MuleStudioFileOutbound g properties
with specified values:

4. Move to Directory –
C:Usersantonio.pellegrinoAnypointStudioworkspacetestcsvtox
mlsrctestresourcesoutput
The next component is logger. The message property value of the
logger component defines the logging statement. In the General
tab, configure the following.
Message – #[string: output #[message]]
The message object provides developer with insights regarding
message’s meta-data.

5. The contents of the file read by the File endpoint component is
passed to the CSV to Maps component for conversion to Map data
structure. Each line in the CSV file is converted into an individual
Map instance. The individual Map instances are added to a
Collection and passed on to the next message processor in the flow
chain. The component uses FlatPack project to do file parsing. The
parsed file definition is provided via the mapping file property. The
file needs to be present in the application classpath. To ensure
availability, the person.xml is added in the src/main/java folder.

6. In the General tab of the CSV to Maps component configure the
following properties with specific values
Delimiter – ,
Mapping file – person.xml

7. <?xml version='1.0'?>
<!-- DTD can be pulled from the Jar or over the web-->
<!DOCTYPE PZMAP SYSTEM "flatpack.dtd" >
<!--<!DOCTYPE PZMAP SYSTEM
"http://flatpack.sourceforge.net/flatpack.dtd" >-->
<PZMAP>
<COLUMN name="FIRSTNAME" />
<COLUMN name="LASTNAME" />

8. <COLUMN name="DOB" />
</PZMAP>
In the Java component’s General tab configure the following
property with specific value.
Class Name – com.vinraj.integration.file.CSVProcessor
The source code of the CSVProcessor is shown below.

9. package testcsvtoxml;
import java.util.List;
import java.util.Map;
public class CSVProcessor {
public void processFile(List<Map<String, String>> maps)
{
System.out.println(maps);
System.out.println("Size: " + maps.size());
}
}

10. For testin we can use into csv
John,Kent,11/02/1972
Jane,Tully,1/12/1978
Robert,Smith,1/12/1988

11. Message properties:
INVOCATION scoped properties:
fileAge=1000
moveToDirectory=C:Usersantonio.pellegrinoAnypointStu
dioworkspacetestcsvtoxmlsrctestresourcesoutput
originalDirectory=C:Usersantonio.pellegrinoAnypointStud
ioworkspacetestcsvtoxm
INBOUND scoped properties:
MULE_ORIGINATING_ENDPOINT=endpoint..C.Users.antonio
.pellegrino.AnypointStudio.workspace.testcsvtoxml.src.test.r
esources.input
directory=C:Usersantonio.pellegrinoAnypointStudiowork
spacetestcsvtoxmlsrctestresourcesinputlsrctestresou
rcesinput originalFilename=person.csv

12. originalFilename=person.csv
fileSize=66
originalDirectory=C:Usersantonio.pellegrinoAnypointStud
ioworkspacetestcsvtoxmlsrctestresourcesinput
originalFilename=person.csv
timestamp=1464105815396
OUTBOUND scoped properties:
filename=person.csv
SESSION scoped properties:
}

13. [{FIRSTNAME=John, DOB=11/02/1972, LASTNAME=Kent},
{FIRSTNAME=Jane, DOB=1/12/1978, LASTNAME=Tully},
{FIRSTNAME=Robert, DOB=1/12/1988, LASTNAME=Smith}]
Size: 3
The graphic flow is