Collections
Your data is organized into collections. When you create an app, Managed Fusion automatically creates a collection with the same name. You can create additional collections in any app.
A primary collection contains the data that your users will search. Every primary collection is associated with a set of auxiliary collections that contain related data, such as signals, aggregations, and more.
Under the hood, a Managed Fusion collection is a distributed index in Solr, defined by a named configuration stored in ZooKeeper, with these properties:
Managed Fusion maintains a set of Solr collections that store Managed Fusion’s own
log files and other internal information.
These are called System Collections, described below.
Managed Fusion uses ZooKeeper to register information about all collections,
and the Managed Fusion components and services related to a collection.
The Managed Fusion components associated with a collection include:
*Signals are events with timestamps that can be used to improve search results.
For more information about signals in Managed Fusion, see Signals in the Managed Fusion documentation.
In schemaless mode, if a document contains a field not currently in the Solr schema, Solr processes the field value to determine what the field type should be defined as, and then adds a new field to the schema with the field name and field type.
This behavior can be convenient during preliminary application development, but it’s rarely appropriate in a production environment.
- Number of shards. Documents are distributed across this number of partitions.
- Document routing strategy. How documents are assigned to shards.
- Replication factor. How many copies of each document in the collection.
- Replica placement strategy. Where to place replicas in the cluster.
Collection names are case-insensitive, but Managed Fusion preserves case when displaying collection names.
Auxiliary collections
Every primary collection is associated with a set of auxiliary collections that contain related data, such as signals, aggregations, and more. Some auxiliary collections are created for every primary collection. Others are created only for the app’s default collection, one per app. Auxiliary collections are described below:APP_NAME_job_reports | Output from Managed Fusion experiments, Ranking Metrics jobs, and Head/Tail Analysis jobs. | 1 per app |
APP_NAME_query_rewrite | A collection of documents to use for rewriting queries, optimized for high-volume traffic. These documents originate from the COLLECTION_NAME_query_rewrite_staging collection. Certain Managed Fusion query pipeline stages read from this collection: ● Text Tagger ● Apply Rules ● Modify Response with Rules | 1 per app |
APP_NAME_query_rewrite_staging | A collection of documents created by the Rules Editor or by certain Managed Fusion jobs, not optimized for production traffic. Documents move from this collection to the COLLECTION_NAME_query_rewrite collection as follows: ● Job output documents with high confidence contain a review=auto field and are moved to the COLLECTION_NAME_query_rewrite collection automatically. ● Job output documents with low confidence contain a review=pending field. When these are approved by a Managed Fusion user, Managed Fusion copies them to the COLLECTION_NAME_query_rewrite collection. | 1 per app |
COLLECTION_NAME_signals | A search query logs and signals collection. | 1 per collection |
COLLECTION_NAME_signals_aggr | A collection for aggregated signals. | 1 per collection |
APP_NAME_user_prefs | A collection of data to support App Studio’s social features, such as user-generated tags, bookmarks, comments, ratings, and so on. | 1 per app |
Don’t create primary collections with names that end in the suffixes above; these are reserved for Managed Fusion auxiliary collections, which are created and managed by Managed Fusion directly.
Don’t create primary collections named “logs” or beginning with “system_”.
These names are reserved for Managed Fusion system collections.
- Datasources
- Pipelines
- Profiles
- Signals and aggregations
- Analytics dashboards
System collections
Managed Fusion automatically creates some collections that are used for internal purposes and shared across all apps:- system_autocomplete stores the content that the Managed Fusion UI displays when you use the search bar.
- system_blobs stores blobs in Solr. This is used to store model files for the NLP components and other binary files used by Managed Fusion components.
- system_history keeps a record of configuration changes, start and stop times for services and experiments, and more.
- system_jobs_history keeps a record of Managed Fusion jobs, including start/stop times and status.
Collection configuration properties
Collections have three properties that you can configure only when you are creating a collection using the Collections API.| Property | Description | Default behavior |
|---|---|---|
| signals* | The signals property determines whether to create auxiliary collections with suffixes _signals and _signals_aggr. | When you create a collection in the Managed Fusion UI, signals defaults to true. When you create a collection using the Managed Fusion API, this property defaults to false. |
| searchLogs | The searchLogs property determines whether to create an auxiliary search query logs collection with suffix _logs. | When you create a collection in the Managed Fusion UI, this property defaults to true. When you create a collection using the Managed Fusion API, this property defaults to false. |
Using profiles to associate collections with pipelines
Index pipelines and query pipelines aren’t connected to a specific collection by default. Index profiles and query profiles are configurations that create consistent endpoints for indexing and querying, each with a specific pipeline and collection.- Index Profiles work with index pipelines for getting content into the system.
- Query Profiles work with query pipelines for user queries.
Fields Editor UI
The Fields Editor UI allows you to create and configure the schema file directly from Managed Fusion. For instructions, see Fields Editor UI.Additional resources
LucidAcademyLucidworks offers free training to help you get started.The Course for Fusion Applications and Collections focuses on how Fusion transforms your siloed data into personalized insights unique to each user with apps and collections:
