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This document provides a comprehensive list of deprecated and removed features in Fusion, organized by version. It includes details on the deprecation and expected removal of various features, along with notes on alternatives or replacements where applicable. The document also contains links to relevant documentation for further information. The deprecations section lists features scheduled for removal in future releases, and the removals section lists features already removed in past releases. Each entry includes the feature name, the version in which it was deprecated or removed, and relevant notes or recommended replacements. The deprecation schedule outlined in this document applies exclusively to Fusion 5. Other major versions of Fusion have separate deprecation schedules not covered by this document.
Fusion Connectors deprecations and removalsDeprecation and removal details for Fusion Connectors are found at Fusion Connectors Deprecations and Removals.

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Deprecations

Deprecated features in Fusion 5 are scheduled for removal in a future release. The following table lists each deprecated feature with an expected removal value, either a version number or a date. When a version number is specified, the feature will be removed in that specific release. When a date is specified, it represents the earliest possible day the feature will remain available. Removal will not occur before that date.
FAQWhen were these features originally deprecated?If a feature was originally deprecated in a prior version, the original deprecation version is noted in parentheses after the Deprecated version.

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Removing in Fusion 6.0

Apache Tika Parser

The Apache Tika Parser is a versatile tool designed to support the parsing of numerous unstructured document formats.Use the Tika Asynchronous Parser instead. Asynchronous Tika parsing performs parsing in the background. This allows Fusion to continue indexing documents while the parser is processing others, resulting in improved indexing performance for large numbers of documents.Deprecated: All versions of 5.9.x (originally 5.8.0)Expected removal: 6.0.0
A tool within the Fusion workspace that provides real-time, searchable reports and visualizations from signals data.Deprecated: 5.9.13 (originally 5.12.0)Expected removal: 6.0.0
Banana serves as the underlying browser application for Fusion dashboards, enabling the creation of dynamic and interactive dashboards within Fusion. These dashboards support various data visualizations and user interactions.Deprecated: 5.9.13 (originally 5.12.0)Expected removal: 6.0.0
The Content-Based Recommender job computes item-to-item similarities based on content fields, such as product descriptions.Deprecated: 5.19.0Expected removal: 6.0.0
The Data Augmentation Job is designed to enhance training and testing data for machine learning models by increasing data quantity and introducing textual variations. It performs tasks such as backtranslation, synonym substitution, keystroke misspelling, and split word tasks.Deprecated: 5.9.13 (originally 5.12.0)Expected removal: 6.0.0
The Domain Specific Language (DSL) in Fusion is designed to simplify the complexity of crafting search queries. It allows users to express complex search queries without needing to understand the intricate syntax required by the legacy Solr parameter format.Avoid using the Domain-Specific Language (DSL) feature, as it may cause performance degradation. Instead, use the DSL to Legacy Parameters query pipeline stage to convert DSL requests to the legacy Solr format while maintaining compatibility.Deprecated: 5.9.4Expected removal: 6.0.0
The Field Parser index pipeline stage in Fusion is designed to parse content embedded within fields of documents. This stage operates separately from the parsers that handle whole documents.Use the Tika Asynchronous Parser instead. Asynchronous Tika parsing performs parsing in the background. This allows Fusion to continue indexing documents while the parser is processing others, resulting in improved indexing performance for large numbers of documents.Deprecated: All versions of 5.9.x (originally 5.8.0)Expected removal: 6.0.0
The fusion-classification service runs classification models in the Fusion cluster.Deprecated: 5.19.0Expected removal: 6.0.0
The gRPC API of the ML Model service, which Fusion uses to call deployed machine learning models.Deprecated: 5.19.0Expected removal: 6.0.0
Perform head/tail analysis of queries from collections of raw or aggregated signals, to identify underperforming queries and the reasons.Instead, use Neural Hybrid Search for superior relevance compared to this legacy machine learning method.Deprecated: 5.9.15Expected removal: 6.0.0
A stage to perform hybrid lexical-semantic search that combines BM25-type lexical search with KNN dense vector search via Solr.Use Neural Hybrid Query (5.9.10 and later) instead to benefit from updates and improvements to the search capabilities of the stage.Deprecated: 5.9.13Expected removal: 6.0.0
The legacy Admin UI is the previous interface for managing apps and objects.Use the new Admin UI instead.Deprecated: 5.19.0Expected removal: 6.0.0
This job trains a logistic regression model with regularization to classify text into different categories.Deprecated: All versions of 5.9.x (originally 5.2.0)Expected removal: 6.0.0
The Milvus Ensemble Query stage is used to enhance search results by incorporating vector-based similarity scoring.Replace the Milvus Ensemble Query Stage with the Ray/Seldon Vectorize Query stage with a Ray model for custom models, or with the Lucidworks AI vector query stages for models hosted by Lucidworks AI. These alternatives improve vector search integration and support within Fusion’s evolving AI and machine learning capabilities.Deprecated: 5.9.5Expected removal: 6.0.0
The Milvus Query stage performs vectors similarity search in Milvus, an open source vector similarity search engine integrated into Fusion to streamline its deep learning capabilities and reduce the workload on Solr.Replace the Milvus Query Stage with the Ray/Seldon Vectorize Query stage with a Ray model for custom models, or with the Lucidworks AI vector query stages for models hosted by Lucidworks AI. These options enhance query efficiency and provide broader support for machine learning-driven search.Deprecated: 5.9.5Expected removal: 6.0.0
The Milvus Response Update stage is designed to update response documents with vectors similarity and ensemble scores.Replace the Milvus Response Update Query Stage with the Ray/Seldon Vectorize Query stage with a Ray model for custom models, or with the Lucidworks AI vector query stages for models hosted by Lucidworks AI. These alternatives improve performance when updating response documents with vector similarity data.Deprecated: 5.9.5Expected removal: 6.0.0
The Parsers API provides CRUD operations for parsers, allowing users to create, read, update, and delete parsers.A new API introduced in Fusion 5.12.0, Async Parsing API, replaces the Parsers Indexing CRUD API and is available in Fusion 5.9.11. This API provides improved functionality and aligns with Fusion’s updated architecture, ensuring consistency across versions.Deprecated: 5.9.11 (originally 5.12.0)Expected removal: 6.0.0
Identify multi-word phrases in signals.Instead, use Neural Hybrid Search for superior relevance compared to this legacy machine learning method.Deprecated: 5.9.15Expected removal: 6.0.0
This job uses SparkML’s Alternating Least Squares (ALS) to analyze past queries and find similarities between them. It helps recommend related queries or suggest relevant items based on previous searches.Switch to Query-to-Query Session-Based Similarity jobs instead of the Query-to-Query Collaborative Similarity Job. The new method improves performance and increases the coverage of query similarity calculations.Deprecated: All versions of 5.9.x (originally 5.2.0)Expected removal: 6.0.0
This job trains a machine learning model using a random forest algorithm to classify text into different categories.Deprecated: All versions of 5.9.x (originally 5.2.0)Expected removal: 6.0.0
Reverse Search matches incoming documents to saved monitoring queries, so you don’t need to rerun a query to find new documents.Deprecated: 5.19.0Expected removal: 6.0.0
The Security Trimming query pipeline stage in Fusion is designed to restrict query resultsby matching security ACL metadata, ensuring that users only see results they are authorized to access.Replace the Security Trimming Query Stage with the Graph Security Trimming Query Stage. The new method uses a single filter query across all data sources.Deprecated: 5.9.0Expected removal: 6.0.0
Seldon Core serves machine learning models in the Fusion cluster. This includes the Create Seldon Core Model Deployment job, the Delete Seldon Core Model Deployment job, and Seldon models in the Ray/Seldon Vectorize Field and Ray/Seldon Vectorize Query stages.Use Ray to host custom models instead. Deploy models with the Create Ray Model Deployment job, then use them in the Ray/Seldon Vectorize Field and Ray/Seldon Vectorize Query stages.Deprecated: 5.19.0Expected removal: 6.0.0
The Smart Answers Coldstart Training job in Fusion is designed to help train models when there is no historical training data available.Use pre-trained models or the supervised training job instead of the Smart Answers Coldstart Training job. Pre-trained models eliminate the need for manual training when historical data is unavailable, while supervised training jobs offer greater flexibility in model customization.Deprecated: 5.9.13 (originally 5.12.0)Expected removal: 6.0.0
The Smart Answers Evaluate Pipeline job evaluates the performance of a Smart Answers pipeline.Deprecated: 5.19.0Expected removal: 6.0.0
The Smart Answers Supervised Training job trains a Smart Answers model on a supervised basis, with pre-trained or trained embeddings, and deploys the trained model to the ML Model Service.Deprecated: 5.19.0Expected removal: 6.0.0
Fusion uses the Nashorn engine JavaScript engine for the JavaScript index and query stages.Use the OpenJDK Nashorn JavaScript engine instead of the deprecated Nashorn JavaScript engine in Fusion. This ensures continued JavaScript execution compatibility in pipeline configurations. You can select the engine from a dropdown in the pipeline views or in the workbenches.Deprecated: 5.9.8Expected removal: 6.0.0
Used to generate pairs of synonyms and pairs of similar queries. Two words are considered potential synonyms when they are used in a similar context in similar queries.Instead, use Neural Hybrid Search for superior relevance compared to this legacy machine learning method.Deprecated: 5.9.15Expected removal: 6.0.0
Detect misspellings in queries or documents using the numbers of occurrences of words and phrases.Instead, use Neural Hybrid Search for superior relevance compared to this legacy machine learning method.Deprecated: 5.9.15Expected removal: 6.0.0
Connectors that support security filtering previously used separate fetchers for content and access control. One fetcher type is now used for both content and security fetching. AccessControlFetcher has been deprecated.Fetcher implementations that use AccessControlFetcher should instead use ContentFetcher.Deprecated: All versions of 5.9.x (originally 5.1.2)Expected removal: 6.0.0
Deprecated: All versions of 5.9.x (originally 5.1.2)Expected removal: 6.0.0
Use Develop and Deploy a Machine Learning Model instead.Deprecated: 5.9.10 (originally 5.2.0)Expected removal: 6.0.0
The Webapps service provides an embedded instance of App Studio within each Fusion instance, simplifying the deployment process.Deploy App Studio Enterprise using the Deploy App Studio Enterprise to a Fusion 5 Cluster (GKE) instead of relying on the Webapps service. This method improves scalability and provides a more robust deployment approach for enterprise environments.Deprecated: 5.9.10 (originally 5.11.0)Expected removal: 6.0.0
The Word2Vec model training job trains a shallow neural model to generate vector embeddings for text data and stores the results in a specified output collection. It supports configurable parameters for input data, model tuning, featurization, and output settings.Deprecated: 5.9.11 (originally 5.2.0)Expected removal: 6.0.0

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To be determined

The ALS Recommender job in Fusion AI is used to compute user recommendations or item similarities using a collaborative filtering recommender.Use the BPR Recommender job instead of the ALS Recommender job. The BPR Recommender job delivers better recommendation accuracy with a shorter runtime.Deprecated: All versions of 5.9.x (originally 5.2.0)Expected removal: Version TBD
Time-based partitioning in Fusion collections allows mapping to multiple Solr collections or partitions based on specific time ranges.Deprecated: All versions of 5.9.x (originally 5.2.0)Expected removal: Version TBD

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Removals

This section lists features that have been removed in past releases of Fusion. Each entry includes the feature name, the version in which it was removed, and any relevant notes or replacement recommendations.

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Fusion 5.19

Static and dynamic security trimming was removed in 5.19.0.V2 connectors now support only graph-based security trimming. Custom connectors built on the static or dynamic security-trimming APIs must move to graph-based security trimming.
Connectors ConfigsApi endpoints were removed in 5.19.0.Use the DataSourcesApi endpoints instead.

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Fusion 5.11

MLeap was removed in 5.11.0.Use Develop and Deploy a Machine Learning Model instead. This method provides a more flexible and modern approach to deploying machine learning models.
Subscriptions UI was removed in 5.11.0.

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Fusion 5.10

Forked Apache Tika Parser was removed in 5.10.0.The Forked Apache Tika Parser was replaced by the Tika Asynchronous Parser. The asynchronous parser improves performance by handling document parsing more efficiently and scaling better for enterprise workloads.

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Fusion 5.9

Analytics Catalog Query Stage was removed in 5.9.15.
Tika Server Parser was removed in 5.9.12.Use the Tika Asynchronous Parser instead. Asynchronous Tika parsing performs parsing in the background. This allows Fusion to continue indexing documents while the parser is processing others, resulting in improved indexing performance for large numbers of documents.
MLeap in Machine Learning models was removed in 5.9.12.

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Fusion 5.7

NLP Annotator Index Stage was removed in 5.7.0.To implement similar functionality, see the Develop and Deploy a Machine Learning Model guide, which provides an adaptable example.
NLP Annotator Query Stage was removed in 5.7.0.To implement similar functionality, see the Develop and Deploy a Machine Learning Model guide, which provides an adaptable example.
OpenNLP NER Extraction Index Stage was removed in 5.7.0.To implement similar functionality, see the Develop and Deploy a Machine Learning Model guide, which provides an adaptable example.

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Fusion 5.6

Fusion SQL was removed in 5.6.1.
Apache Pulsar was removed in 5.6.0.Apache Pulsar was removed in Fusion 5.6.0 and replaced with Kafka. Kafka offers better scalability, reliability, and industry support for message streaming.
Log Viewer & DevOps Center UI panel were removed in 5.6.0.These features were removed in Fusion 5.6.0 as they depended on Apache Pulsar, which has been replaced by Kafka. Users should transition to Kafka-based logging and monitoring solutions.
Subscriptions API was removed in 5.6.0.
Send to Message Bus Index Stage was removed in 5.6.0.

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Fusion 5.5

Jupyter was removed in 5.5.2.
Superset was removed in 5.5.2.