Latest Release: 5.3.2 (14 December 2020)
Component Versions
Fusion comes bundled with everything you need to get started.
Solr 8.6.3 |
ZooKeeper 3.5.7 |
Spark 2.4.5 |
The Fusion 5.3.2 release primarily addresses CVEs and known issues. To upgrade from 5.3.0, see:
If you are upgrading from 5.2.x to 5.3.2, follow the Upgrade Fusion 5.2.1 to 5.3.x instructions, which include details on the Solr upgrade.
Bug fixes
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Fixed a bug that prevented the creation of data models when the app name and app ID are different.
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Addressed reported CVEs in libraries used by various Fusion services.
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Fixed a bug that prevented the RPC service from working if the service was run from behind a proxy.
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Fixed a bug with the Machine Learning stage that resulted in authentication failing when using gRPC authentication headers. The ML library now passes JWT authentication when used as part of a Pulsar subscription as expected.
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Fixed a bug for the three parameters used in the Smart Answers Supervised Training job:
evalAnnIndex,useMixedPrecision, anduseXbm. This bug caused thefalsevalue to be ignored.
Previous releases
5.3.0 (18 November 2020)
Solr 8.4.1 |
ZooKeeper 3.5.7 |
Spark 2.4.5 |
5.2.1 (23 September 2020)
Solr 8.4.1 |
ZooKeeper 3.5.7 |
Spark 2.4.5 |
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Important
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A patch is released for this version that addresses an issue that can cause a serious performance issue for high-scale deployments. Please upgrade from Fusion 5.2.1 to 5.2.2 as soon as possible. Contact your Customer Excellence representative if you have questions about the potential impact to your deployment. |
5.2.0 (24 August 2020)
Solr 8.4.1 |
ZooKeeper 3.5.7 |
Spark 2.4.5 |
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The new Classification job analyzes how existing documents are categorized and produces a model that can be used to predict the categories of new documents at index time.
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The new BPR Recommender job produces better signals-based recommendation data with a shorter running time than the ALS Recommender job (deprecated in this release).
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The new Content-Based Recommender job analyzes similarities in your content to provide recommendations when you don’t have enough signals data for signals-based recommendation methods.
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The new Query-to-Query Session-Based Similarity job provides improved query-to-query recommendations using a two-pronged approach.
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A new Recommend Similar Queries query pipeline stage was added to support the new query-to-query recommendations job.
No new features or improvements are introduced in Fusion AI 5.1.4. See the Fusion 5.1.4 Release Notes for full details.