0.2.0 • Public • Published

    This package wraps couchdb-lucene so that it can be cleanly launched from within a test runner.


    When you first install this package, it will expect to be able to:

    1. Clone the couchdb-lucene GIT repository
    2. Reset the repository to a particular hash comnmit.
    3. Build couchdb-lucene using Maven.

    The build process will not work unless:

    1. git, maven, and java are installed and in your working path.
    2. your JAVA_HOME environment variable is set properly.

    How to use this package

    The tests in this package demonstrate how to use this with a PouchDB instance. Note that there is no mechanism to set up couchdb-lucene as a proxy within PouchDB (as you would do with CouchDB). Thus, your tests will need to query couchdb-lucene directly.

    The module generates all required configuration files based on whatever options you specify when creating the module. See the comments in the module code and the tests for clear examples.

    Changing the version of couchdb-lucene used.

    If you would like to use a newer version of couchdb-lucene, you can remove the contents of the build directory and run node bin/build_couchdb_lucene.js with whatever paths and versions you like. run node bin/build_couchdb_lucene.js --help for a list of supported options.

    If you would like to update the default version, edit configs/builderConf, which controls the default builder options.

    Indexing Strategies and Modern Versions of couchdb-lucene.

    As of couchdb-lucene 2.0.0, sorting can no longer be accomplished using only a field name. To work around this limitation, you must first index any fields you wish to sort by in a sortable format (i.e. not "text"), as shown in this sample index:

        "docs": [
                "_id": "_design/lucene",
                "fulltext": {
                    "by_content": {
                        "index": "function(doc) { var ret=new Document(); ret.add(doc.content); ret.add(doc.content, { field: \"name\", type: \"string\"} );return ret; }",
                        "defaults": {
                            "type": "text",
                            "store": "yes"
                    "analyzer": "perfield:{default:\"porter\", name: \"string\"}"
            { "content": "Alpha Cat"},
            { "content": "Bravo Dog"},
            { "content": "Charlie Cat"},
            { "content": "Delta Dog"}

    The first call to ret.add ensures that the content will be indexed for full-text searching including with stemming ("sit" also matches "sitting", for example). The second call stores the same data as a string, which is not suitable for full-text searching, but which can be used for sorting (see below).

    When constructing search queries, you must also add the field type to the sort parameter. If you launch the test harness included with this package using a command like node tests/js/launch-test-harness.js, you can use the following URL to search the sample data above, reverse sorted by name:


    See this issue for details on the underlying problem that requires this workaround.




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