Release date: 17 July 2018

New features

Improvements

  • SQL Engine Improvements
    • Added virtual table join support to the Solr/SQL pushdown strategy (SQL 360 Collections)
    • Added Kerberos authentication and SSO authentication support
    • Fixed scaling bugs with Tableau
    • Added robust Tableau support (better than MySQL and PostGres on cross table joins)
  • Experiment management improvements
    • New “default response time in ms” default metric
  • The Machine Learning index stage and the Machine Learning query stage now support multiple values when specifying field names, in this format: field1:weight,field2:weight,field3:weight
  • Job improvements
    • Custom stopword lists can now be uploaded to the blob store and utilized by the Head/Tail Analysis, Document Clustering (formerly the Bisecting KMeans Clustering job), Cluster Labeling, Phrase Extraction (formerly the Statistically Interesting Phrases job), and Token and Phrase Spell Correction jobs.
    • The Levenshtein Spell Checking job has been removed. Use the Token and Phrase Spell Correction job instead.
    • Add schema groups and categories by default on all Spark Jobs
    • Some jobs have been renamed:
      4.0 Job4.1 Job
      Co-occurrence SimilarityLegacy Item Similarity
      Item Similarity RecommenderLegacy Item Recommender
      Matrix Decomposition Based Query - Query SimilarityQuery to Query Similarity Computation
      Statistically Interesting PhrasesPhrase Extraction

Other changes

  • When you disable signals for a collection, the associated jobs are now deleted.
  • The Boost with Signals query pipeline stage can now be configured to point to an alternative collection for aggregated signals.