Fusion

Solr is the fast open source search platform built on Apache Lucene™ that provides scalable indexing and search, as well as faceting, hit highlighting, and advanced analysis/tokenization capabilities. Solr and Lucene are managed by the Apache Software Foundation.

For more information, see the Solr Reference Guide for your Fusion release.

Apache Spark is an open source cluster-computing framework that serves as a fast and general execution engine for large-scale data processing jobs that can be decomposed into stepwise tasks, which are distributed across a cluster of networked computers.

Spark improves on previous MapReduce implementations by using resilient distributed datasets (RDDs), a distributed memory abstraction that lets programmers perform in-memory computations on large clusters in a fault-tolerant manner.

See Spark Operations for more information.

Connectors are the out-of-the-box components for pulling your data into Fusion. Lucidworks provides a wide variety of connectors, each specialized for a particular data type. When you add a datasource to a collection, you specify the connector to use for ingesting data.

Connectors are distributed separately from Fusion. For complete information, see Fusion Connectors.

Fusion offers dozens of connectors so you can access your data from a large variety of sources.

To learn more about Fusion connectors, see connectors concepts or the connectors section.

Pipelines dictate how data flows through Fusion and becomes accessible by a search application. Fusion has two types of pipelines: index pipelines and query pipelines.

Index pipelines ingest data, indexes it, and stores it in a format that is optimized for searching.

Query pipelines filter, transform, and augment Solr queries and responses to return all and only the most relevant search results.