The LuceneService

This LuceneService is used by the Imixs-Workflow engine to provide a full-text index based on Lucene Search Technology. The Imixs-Workflow engine is currently supporting Lucene version 6.6.1. The lucene search feature is part of the DocumentService section.

See the section Query Syntax for details about how to search for documents.

The Configuration

The lucene index is written by default into the folder


inside the runtime environment of the application server.

If no further configuration exists, the content of the document items “txtworkflowsummary” and “txtworkflowabstract” will be analyzed and added into the serach index.

In addition the following list of items in a document are indexed by the LuceneService without using an analyser.

"$modelversion", "$taskid", "$workitemid", "$uniqueidref", "type", 
"$writeaccess", "$modified", "$created", "namcreator", "txtworkflowgroup", "txtname", "namowner", "txtworkitemref", "$processid"

These items can be used in a search term.

(type:"workitem") and ($modelversion:"1.0.0")

Custom Configuration

The custom configuration of the LuceneService can be provided in the file The following example shows custom configuration for the LuceneService:

# Imixs Lucene Service 

# Search Index Direcotry 
# Fields to be added into the searchindex
lucence.indexFieldListNoAnalyze=datDate,txtWorkflowGroup,txtemail, datdate, datfrom, datto, numsequencenumber, txtUsername


This is the directory on the servers file system the lucene index will be created. Make sure that the server has sufficient write access for this location. Using Glassfish Server the example above will create a directory named ‘my-index’ into the location GLASSFISH_INSTALL/domains/domain1/config/


The property ‘lucene.fulltextFieldList’ defines a comma separated list of fields which will be indexed by the LucenePlugin. The content of these fields will be stored into the lucene field name ‘content’. The values will be analyzed with the lucene standard analyzer.


The property ‘lucene.indexFieldListAnalyze’ defines a comma separated list of fields which will be added as keyword fields into the lucene index. The content of this fields will be analyzed by the lucene standard analyzer.


The property ‘lucene.indexFieldListNoAnalyze’ defines a comma separated list of fields which will be added as keyword fields into the lucene index. The content of this fields will not be analyzed. So a exact phrase search is possible here.


The defaultOperator sets the boolean operator of the QueryParser. In default mode (AND_OPERATOR) terms without any modifiers are considered optional: for example capital of France is equal to capital AND of AND France. In OR_OPERATOR mode terms are considered to be in conjunction: the above mentioned query is parsed as capital OR of OR France


Whether query text should be split on whitespace prior to analysis. Default is true. For example cat dog will be treated as cat AND dog

How to Initialize the Lucene Index

The lucene index is automatically written into the Index Directory by the Imixs-Workflow engine. However, it some cases it can be necessary to create or update the lucene index manually. For example, this can be the case after a Database restore.

Initialize the Index with the Imixs-Admin Client

The Imixs-Admin Client provides a web interface to build a new index.

Initialize the Index via a Rest API call

It is also possible to trigger the build process for the lucene index via the Rest API. See the following example with a curl command:

curl --user admin:adminpassword -H "Content-Type: text/xml" -d \
   '<document xmlns:xsi="" xmlns:xs=""> \
       <item name="type"><value xsi:type="xs:string">adminp</value></item> \
       <item name="job"><value xsi:type="xs:string">REBUILD_LUCENE_INDEX</value></item> \
       <item name="numblocksize"><value xsi:type="xs:int">1000</value></item> \
       <item name="numindex"><value xsi:type="xs:int">0</value></item> \
       <item name="numinterval"><value xsi:type="xs:int">1</value></item> \
    </document>' \

This call starts the Job ‘REBUILD_LUCENE_INDEX’ on the workflow application located at


The user must have manager-access to be allowed to trigger this build job.

The Lucene KeywordAnalyzer

The Imixs LuceneSearchService uses the Lucene KeywordAnalyzer to parse a given search term. This means that a search phrase is taken as is. For example:


will search exactly for the keyword ‘rs/82550/201618’. Also the phrase


will start a search for the keyword ‘europe/berlin’. This sometimes leads to an unexpected search result, because the Imixs LuceneUpdateService is using the ‘ClassicAnalyzer’ per default to create the luncene index. And this analyzer will splitt ‘europe/berlin’ into ’‘europe’ and ‘berlin’. If you need to seach for an exact keyoword you need to add the corresponding field into the value ‘lucence.indexFieldListNoAnalyze’. This will create a document field with the exact keyword independent form the content and it will not be split up by the ClassicAnalyzer. But in this case you need to specify the document field also in your query. See the following example:


This lucene search query will search for the keyword ‘europe/berlin’ in the document field ‘_country’.

Note: All other content of a workitem will typically be stored into the document field ‘content’ and analyzed by the ClassicAnalyer which will - as explained before - split up the keyword into two separate words.

Normalze a Search Term.

The Imixs LuceneSearchService provides a static method ‘normalizeSearchTerm’. This method can be used to split up a search term in separate phrases in the same way as the term would be split up by the Lucene ClassicAnalyzer. So for example the search term:


will be modified by this method into:

europe berlin

The normalizeSearchTerm method takes care about article numbers supported by the ClassicAnalyzer. So the following search term

europe/berlin rs/82550/201618

will result in

europe berlin rs/82550/201618

and will return all workitems containing the keywords ‘europe’, ‘berlin’ and ‘rs/82550/201618’

See the section Query Syntax for more details about the lucene search syntax.