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The Fusion search adapter brokers all communication with the Lucidwork’s Fusion platform using its REST API to query Solr.

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Setup

To add Fusion search connectors to a Maven project, you must add this dependency to your project’s pom.xml file: 
<dependency>
    <groupId>twigkit</groupId>
    <artifactId>twigkit.fusion</artifactId>
    <version>${project.parent.version}</version>
</dependency>

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Usage

Assuming you have added the correct dependencies to your project (see above), the Fusion platform configuration can be accessed by pointing to it in the search:platform tag. In this case the platform is placed in a variable named platform using the var attribute, and points to a platform configuration in ../conf/platforms/fusion/search.conf: 
<search:platform var="platform" conf="platforms.fusion.search"></search:platform>

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platforms/fusion/search.conf

In this example platform configuration, we set some general settings for the platform: 
name: twigkit.search.fusion.Fusion
timeOut: 30000
resultIDField: id
highlight: true
defaultQuery: *:*
query-profile: my-profile
With a Fusion platform, we also need to set some additional parameters in the following files:

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services/api/fusion.conf

This file controls which Fusion to use: 
# Hostname of your Fusion
host: myHostname

# Port of your Fusion
port: 6764

# Protocol of your Fusion - e.g. http or https
protocol: http

# Optional: Fusion Authorization mode - native, serviceaccount, or jwt.
#   If not configured, this will default to the first configured option in the order JWT > Service Account > Native
#   Native auth requires no config here, but does require the twigkit.security.provider.fusion module to be loaded.
# auth: native

# Service Account config
userName: admin
password: password

# JWT config
# issuer:
# key:
# groups:

# Optional: If a JWT subject is configured, all requests to Fusion will be sent as the JWT realm user whose name matches the subject
# subject:

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platforms/fusion/social.conf

This file configures the Lucidworks Appkit Social Module: 
# For every Fusion App, a corresponding YOUR_FUSION_APP_user_prefs collection is automatically created.
# Appkit uses this collection for storing collaboration user-data.

# Name of the collection to store user data in
collection: Supp-Demo_user_prefs

# Name of the Query & Index pipelines to use - _system is the Fusion default
# pipeline: _system

# Enable writing new Social entities into the platform
readOnly: false

# Prevent users from searching this platform directly
webservice-enabled: false

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message/service/fusion.conf

This file configures how Signals are sent to Fusion: 
# Fusion Signals config

# Name of the Query profile to send Signals through
query-profile: Supp-Demo

# The index pipeline to send Signals to
# signals-index-pipeline: _signals_ingest

# Whether to commit Signals to disk inside Fusion immediately or not
# commit: true

# Whether to index to Fusion asynchronously or not
# async: true

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Required attributes

  • query-profile (java.lang.String) The Fusion query profile being accessed. If you have created an app via the Fusion UI called MyAwesomeApp, then you will have a default Query Profile called MyAwesomeApp as well - this is a good starting point.
    Applied in: configuration

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Optional attributes

  • requestHandler (java.lang.String) Name of the Request Handler to use. Use this to specify an alternate Request Handler to use for example, the ‘/dismax’ request handler. Note you can override this by specifying a ‘custom’ attribute on the query.
  • requestMethod (java.lang.String) Which HTTP request method to use (GET or POST).
  • strategy (java.lang.String) Whether to cluster multiple hosts (value should be either combine, or round-robin). To enable sharding, set strategy to combine.
  • groupField (java.lang.String) Setting this enables Solr Result Grouping or Field Collapsing on the given field. This will create a Result for each Group returned. Matching documents for the group will be available as related results.
  • timeOut (java.lang.Integer) Time out for platform query requests (in milliseconds).
    Default: 5000
  • ignoreAppliedFilters (java.lang.Boolean) If this is set to false, facet filters that have already been applied to the Query are added to the list of filters for the facet.
    Default: true
  • backwardsCompatible (java.lang.Boolean) For Solr 1.x (for example, 1.4) set backwardsCompatible to true.
    Default: false
  • highlight (java.lang.Boolean) Whether to enable hit highlighting (hl parameter) in Solr.
    Default: true

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Attributes shared across platforms

  • aliases (java.lang.String) Manage mappings from field names to aliases (use a comma-separated list). All references to the field (via this platform) in results, facets, filters, and query strings are mapped. For example, to refer to a field in the index named firstnamelastname as name and countryofresidence as country, use these mappings: aliases="firstnamelastname=name,countryofresidence=country"
  • defaultQuery (java.lang.String) Default query to use when none is specified. For Solr use : to bring back all items (for example, for ‘zero term search’).
  • defaultFacets (java.lang.String) Default facets to request when none are specified. This is a comma separated list.
  • spellCheck (java.lang.Boolean) Spellcheck the Query term if supported by the Platform.
    Default: true
  • expandQuery (java.lang.Boolean) Apply advanced linguistics such as stemming or lemmatization if supported by the Platform.
    Default: true
  • autoCorrect (java.lang.Boolean) Whether to auto-correct and resubmit futile queries (queries with zero results).
    Default: true
  • fileTypeField (java.lang.String) Set which field contains information about file type (mime type).
    Applied in: configuration
  • resultIDField (java.lang.String) Set which field represents the unique identifier for a given result. Should correspond to the <uniqueKey> element in the Solr schema.xml.
    Applied in: JSP tag, configuration
  • pageLimit (java.lang.Long) A limitation to which page the platform will offset.
    Applied in: JSP tag, configuration

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Hit highlighting

Hit highlighting is enabled by default, and assumes that the unique uniqueKey field in the Solr schema.xml file is named id. If your uniqueKey is set to a different field highlighting will not work unless you set the resultIDfield key in the Appkit configuration to the right field. 
resultIDField = yourUniqueKey
Appkit expects that Solr’s default highlighting tags of <em></em> are used. Ensure that this has not been set to something different using hl.simple.pre and hl.simple.post settings in the Solr or request handler configurations.

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Learn more

To securely access Fusion via Appkit, a user has several options. They can either adopt Appkit’s Fusion security provider making use of session cookies to send repeated requests back to Fusion, or they can access Fusion via a service account if they are planning to use query pipelines. In this section, we describe how to set up the latter.

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1 Set up a service account on the Fusion server

If a user wants to query Fusion through a pipeline by impersonating another user via a service account, they must first ensure such an account has been set up on the Fusion server. This account should have access rights to the required resources.

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2 Add Security Trimming query stages to required pipelines

Query pipelines can have additional security filtering applied to ensure specific users do or do not have access to specific resources. This filtering can be set up by adding a Security Trimming stage to the query pipeline via the Fusion UI. The User ID key that is used in the security trimming stage to filter on results is supported in Appkit via the user-id attribute, which is described in the next section.

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3 Update fusion.conf

To query Fusion using this approach, this attributes must be added to the platform fusion.conf file in src/main/resources/conf/platforms/fusion/:
impersonate: true
userName: joebloggs
password: password
user-id: username
Here, the impersonate attribute informs Appkit that users will be querying Fusion pipelines via a service account. Below that, both the userName and the password are the credentials for the service account that Fusion will authenticate against. The last attribute user-id is optional and by default takes the value of username. This is the parameter that will be appended to the query string and filtered on in the security trimming stage. For example, the complete query URL might appear as:
http://localhost:8764/api/apollo/query-pipelines/test-default/collections/test/select?&wt=json&q=*:*&debug=false&fl=x,y,z&start=0&username=joe@bloggs.com'
Appkit supports the ability to generate suggestions as-you-type for successive query terms with Fusion via our Solr suggestion services.

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Accessing the Suggest Component

To access the Solr suggester in a Fusion application, refer to the section Suggester.For reference, here is an example of how the Appkit configuration might appear for this particular service:
name: twigkit.search.solr.suggestions.SolrSuggestionsParserService
source: platforms.fusion
suggester: titleMatchSuggester
parenthesis: true
title: Staff
custom: count[5]
doctype: howto
Here, the source defines the location of the fusion platform configuration. This will be used to identify the Fusion host and collection.

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Accessing the Terms Component

To access the Solr Terms component in a Fusion application, refer to the section Terms Component.For reference, here is an example of how the Appkit configuration might appear for this particular service:
name: twigkit.search.solr.suggestions.SolrQueryTermsService
source: platforms.fusion
term-fields: Symbol, Project_name
title: Suggested phrase
doctype: howto
Here, the source defines the location of the fusion platform configuration. This will be used to identify the Fusion host and subsequently a collection that will contain fields as listed in term-fields.

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Ensure the terms request handler can be used with the Fusion query pipeline

The terms component and request handler are provided out-of-the-box in the solrconfig.xml with Fusion. However, to ensure the query pipeline you are using does allow the terms handler to be used with queries, check that the Query Solr stage of your query-pipeline does list terms as an allowed request handler.

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Dynamic updates to multiple term queries

Because the terms component only allows suggestions one term at a time, in cases when multiple terms are being typed, suggestions will be given for the last term to be typed.

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Learn more

  1. Choose a suggester implementation from the Solr Suggester documentation, and define it in the solrconfig.xml file.
    You can edit the solrconfig.xml file inside of the Fusion Admin UI. Navigate to System > Solr Config, and select the solrconfig.xml file to begin. Solr Config edit in Fusion Admin UI

    In this example, create a suggester called mySuggester in solrconfig.xml using the AnalyzingInfixLookupFactory. Define description as the suggester’s target field: 
    <searchComponent name="suggest" class="solr.SuggestComponent">
 <lst name="suggester">
   <str name="name">mySuggester</str>
   <str name="lookupImpl">AnalyzingInfixLookupFactory</str>
   <str name="dictionaryImpl">DocumentDictionaryFactory</str>
   <str name="field">description</str>
   <str name="suggestAnalyzerFieldType">string</str>
   <str name="buildOnStartup">false</str>
 </lst>
</searchComponent>
  2. Ensure that the field used for autosuggest is correctly defined in the schema: 
    <field name="description" type="text_general" stored="true" indexed="true" multivalued="false" />
  3. Once modified, upload the custom configuration files to ZooKeeper using ZooKeeper’s command line interface.
    Use the zkcli command putfile to replace an existing ZooKeeper configuration file. Typically, CONFIG_NAME will likely represent the name of the collection. Alternatively, the name represents a custom configuration. 
    https://FUSION_HOST:FUSION_PORT/apps/solr-dist/server/scripts/cloud-scripts/zkcli.sh -z localhost:2181 -cmd putfile /configs/CONFIG_NAME/solrconfig.xml /Desktop/solrconfig.xml
  4. To enable autosuggest in Fusion, add the suggest request handler to the allowed request handlers in the Solr Query stage of the query pipeline.
    Solr Query stage request handlers
    Build the suggester should using .../suggest?suggest.build=true. For example: 
    http://localhost:8764/api/query-pipelines/PIPELINE/collections/COLLECTION_NAME/suggest?suggest.build=true
  5. Start searching! 
    http://localhost:8764/api/query-pipelines/PIPELINE/collections/COLLECTION_NAME/suggest?suggest.q=ca...
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