8.9 KiB
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
,PagesIndexer
.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
,PagesIndexer
.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 specificCType
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.
abstractFields
Used by:
PagesIndexer
.Define which field should be used to provide the auto generated field "search_abstract". The fields have to exist in the record to be indexed. Therefore fields like
content
are also possible.Example:
# As last fallback we use the content of the page plugin.tx_searchcore.settings.indexing.<identifier>.abstractFields := addToList(content)
Default:
abstract, description, bodytext
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 oftt_content
astype: 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
andfilter
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-factorExample:
plugin.tx_searchcore.settings.searching.field_value_factor { field = rootlineLevel modifier = reciprocal factor = 2 missing = 1 }