search_core/Documentation/source/configuration.rst

Configuration

The extension offers the following configuration options through TypoScript. If you overwrite them through setup make sure to keep them in the module area as they will be accessed from backend mode of TYPO3. Do so by placing the following line at the end:

module.tx_searchcore < plugin.tx_searchcore

We will use references inside the extension to make the above unnecessary in the future.

The structure is following TYPO3 Extbase conventions. All settings are placed inside of:

plugin.tx_searchcore.settings

Here is the example default configuration that's provided through static include:

../../Configuration/TypoScript/constants.txt

../../Configuration/TypoScript/setup.txt

Options

The following section contains the different options, e.g. for connections and indexer: plugin.tx_searchcore.settings.connection or plugin.tx_searchcore.settings.indexing.

connections

Holds settings regarding the different possible connections for search services like Elasticsearch or Solr.

Configured as:

plugin {
    tx_searchcore {
        settings {
            connections {
                connectionName {
                    // the settings
                }
            }
        }
    }
}

Where connectionName is one of the available connections.

The following settings are available. For each setting its documented which connection consumes it.

host

Used by: Elasticsearch.

The host, e.g. localhost or an IP where the search service is reachable from TYPO3 installation.

Example:

plugin.tx_searchcore.settings.connections.elasticsearch.host = localhost

port

Used by: Elasticsearch.

The port where search service is reachable. E.g. default 9200 for Elasticsearch.

Example:

plugin.tx_searchcore.settings.connections.elasticsearch.port = 9200

Indexing

Holds settings regarding the indexing, e.g. of TYPO3 records, to search services.

Configured as:

plugin {
    tx_searchcore {
        settings {
            indexing {
                identifier {
                    indexer = FullyQualifiedClassname
                    // the settings
                }
            }
        }
    }
}

Where identifier is up to you, but should match table names to make TcaIndexer work.

The following settings are available. For each setting its documented which indexer consumes it.

rootLineBlacklist

Used by: TcaIndexer.

Defines a blacklist of page uids. Records below any of these pages, or subpages, are not indexed. This allows you to define areas that should not be indexed. The page attribute No Search is also taken into account to prevent indexing records from only one page without recursion.

Contains a comma separated list of page uids. Spaces are trimmed.

Example:

plugin.tx_searchcore.settings.indexing.<identifier>.rootLineBlacklist = 3, 10, 100

Also it's possible to define some behaviour for the different document types. In context of TYPO3 tables are used as document types 1:1. It's possible to configure different tables. The following options are available:

additionalWhereClause

Used by: TcaIndexer.

Add additional SQL to where clauses to determine indexable records from the table. This way you can exclude specific records like tt_content records with specific CType values or something else. E.g. you can add a new field to the table to exclude records from indexing.

Example:

plugin.tx_searchcore.settings.indexing.<identifier>.additionalWhereClause = tt_content.CType NOT IN ('gridelements_pi1', 'list', 'div', 'menu')

Attention

Make sure to prefix all fields with the corresponding table name. The selection from database will contain joins and can lead to SQL errors if a field exists in multiple tables.

mapping

Used by: Elasticsearch connection while indexing.

Define mapping for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/mapping.html You are able to define the mapping for each property / columns.

Example:

plugin.tx_searchcore.settings.indexing.tt_content.mapping {
    CType {
        type = keyword
    }
}

The above example will define the CType field of tt_content as type: keyword. This makes building a facet possible.

index

Used by: Elasticsearch connection while indexing.

Define index for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/indices-create-index.html

Example:

plugin.tx_searchcore.settings.indexing.tt_content.index {
    analysis {
        analyzer {
            ngram4 {
                type = custom
                tokenizer = ngram4
                char_filter = html_strip
                filter = lowercase, asciifolding
            }
        }

        tokenizer {
            ngram4 {
                type = ngram
                min_gram = 4
                max_gram = 4
            }
        }
    }
}

char_filter and filter are a comma separated list of options.

Searching

size

Used by: Elasticsearch connection while building search query.

Defined how many search results should be fetched to be available in search result.

Example:

plugin.tx_searchcore.settings.searching.size = 50

Default if not configured is 10.

facets

Used by: Elasticsearch connection while building search query.

Define aggregations for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-bucket-terms-aggregation.html Currently only the term facet is provided.

Example:

plugin.tx_searchcore.settings.searching.facets {
    contentTypes {
        field = CType
    }
}

The above example will provide a facet with options for all found CType results together with a count.

minimumShouldMatch

Used by: Elasticsearch connection while building search query.

Define the minimum match for Elasticsearch, have a look at the official docs: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/query-dsl-minimum-should-match.html

Example:

plugin.tx_searchcore.settings.searching.minimumShouldMatch = 50%

boost

Used by: Elasticsearch connection while building search query.

Define fields that should boost the score for results.

Example:

plugin.tx_searchcore.settings.searching.boost {
    search_title = 3
    search_abstract = 1.5
}

For further information take a look at https://www.elastic.co/guide/en/elasticsearch/guide/2.x/_boosting_query_clauses.html

fieldValueFactor

Used by: Elasticsearch connection while building search query.

Define a field to use as a factor for scoring. The configuration is passed through to elastic search field_value_factor, see: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/query-dsl-function-score-query.html#function-field-value-factor

Example:

plugin.tx_searchcore.settings.searching.field_value_factor {
    field = rootlineLevel
    modifier = reciprocal
    factor = 2
    missing = 1
}