Chapter 333. uniVocity TSV DataFormat
Available as of Camel version 2.15
This Data Format uses http://www.univocity.com/pages/about-parsers[uniVocity-parsers] for reading and writing 3 kinds of tabular data text files:
- CSV (Comma Separated Values), where the values are separated by a symbol (usually a comma)
- fixed-width, where the values have known sizes
- TSV (Tabular Separated Values), where the fields are separated by a tabulation
Thus there are 3 data formats based on uniVocity-parsers.
If you use Maven you can just add the following to your pom.xml, substituting the version number for the latest and greatest release (see https://cwiki.apache.org/confluence/display/CAMEL/Download[the download page for the latest versions]).
<dependency>
<groupId>org.apache.camel</groupId>
<artifactId>camel-univocity-parsers</artifactId>
<version>x.x.x</version>
</dependency>333.1. Options
Most configuration options of the uniVocity-parsers are available in the data formats. If you want more information about a particular option, please refer to their documentation page.
The 3 data formats share common options and have dedicated ones, this section presents them all.
333.2. Options
The uniVocity TSV dataformat supports 15 options which are listed below.
| Name | Default | Java Type | Description |
|---|---|---|---|
| escapeChar |
|
| The escape character. |
| nullValue |
| The string representation of a null value. The default value is null | |
| skipEmptyLines |
|
| Whether or not the empty lines must be ignored. The default value is true |
| ignoreTrailingWhitespaces |
|
| Whether or not the trailing white spaces must ignored. The default value is true |
| ignoreLeadingWhitespaces |
|
| Whether or not the leading white spaces must be ignored. The default value is true |
| headersDisabled |
|
| Whether or not the headers are disabled. When defined, this option explicitly sets the headers as null which indicates that there is no header. The default value is false |
| headerExtractionEnabled |
|
| Whether or not the header must be read in the first line of the test document The default value is false |
| numberOfRecordsToRead |
| The maximum number of record to read. | |
| emptyValue |
| The String representation of an empty value | |
| lineSeparator |
| The line separator of the files The default value is to use the JVM platform line separator | |
| normalizedLineSeparator |
| The normalized line separator of the files The default value is a new line character. | |
| comment |
|
| The comment symbol. The default value is |
| lazyLoad |
|
| Whether the unmarshalling should produce an iterator that reads the lines on the fly or if all the lines must be read at one. The default value is false |
| asMap |
|
| Whether the unmarshalling should produce maps for the lines values instead of lists. It requires to have header (either defined or collected). The default value is false |
| contentTypeHeader |
|
| 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. |
333.3. Marshalling usages
The marshalling accepts either:
- A list of maps (L`ist<Map<String, ?>>`), one for each line
-
A single map (
Map<String, ?>), for a single line
Any other body will throws an exception.
333.3.1. Usage example: marshalling a Map into CSV format
<route>
<from uri="direct:input"/>
<marshal>
<univocity-csv/>
</marshal>
<to uri="mock:result"/>
</route>333.3.2. Usage example: marshalling a Map into fixed-width format
<route>
<from uri="direct:input"/>
<marshal>
<univocity-fixed padding="_">
<univocity-header length="5"/>
<univocity-header length="5"/>
<univocity-header length="5"/>
</univocity-fixed>
</marshal>
<to uri="mock:result"/>
</route>333.3.3. Usage example: marshalling a Map into TSV format
<route>
<from uri="direct:input"/>
<marshal>
<univocity-tsv/>
</marshal>
<to uri="mock:result"/>
</route>333.4. Unmarshalling usages
The unmarshalling uses an InputStream in order to read the data.
Each row produces either:
-
a list with all the values in it (
asMapoption withfalse); -
A map with all the values indexed by the headers (
asMapoption withtrue).
All the rows can either:
-
be collected at once into a list (
lazyLoadoption withfalse); -
be read on the fly using an iterator (
lazyLoadoption withtrue).
333.4.1. Usage example: unmarshalling a CSV format into maps with automatic headers
<route>
<from uri="direct:input"/>
<unmarshal>
<univocity-csv headerExtractionEnabled="true" asMap="true"/>
</unmarshal>
<to uri="mock:result"/>
</route>333.4.2. Usage example: unmarshalling a fixed-width format into lists
<route>
<from uri="direct:input"/>
<unmarshal>
<univocity-fixed>
<univocity-header length="5"/>
<univocity-header length="5"/>
<univocity-header length="5"/>
</univocity-fixed>
</unmarshal>
<to uri="mock:result"/>
</route>