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  2. How-To's

How-To's

  • Know your Zookeeper and check on its health
  • Maintaining system collections
  • Managing large log and data files in Fusion 4.x environments
  • Map custom meta tags to searchable fields in Fusion
  • Migrate and scope business rules in Fusion 4 environments
  • Migrate signals data between Fusion 4.x environments with a fresh install
  • Modify incoming document IDs without breaking incremental crawling
  • Moving an existing Fusion instance from one node to another within a cluster
  • Multi-word synonyms & splitOnWhitespace & minimumMatch
  • Optimize indexing and commit strategies for large Solr collections
  • Parallel Bulk Loader job to copy data between cross cluster collections
  • Perform re-query when "No Results Found" within query pipeline
  • PM (Predictive Merchandiser) rules fail to load on Fusion UI
  • Preserve HTML content in a separate field when using the Web Connector
  • Prevent image pull failures due to Bitnami deprecation in Fusion 5.9.0 - 5.12
  • Python script to get job status at specific intervals
  • Query results mismatch due to incorrect filter order in Solr analysis chain
  • Recover index if the Solr index got corrupted
  • Remove unused connector plugins to stop associated pods from running
  • Replace Solr admin user and restrict ZooKeeper access using ACLs
  • Replicate filtered records between Fusion applications using PBL and index pipelines
  • Resolve "Could not hpack encode POST" error when sending requests to Solr over HTTP/2
  • Resolve single-document indexing from nested JSON in REST V2 connector
  • Restrict access to Rules, Rewrites, and Analytics dashboards and prevent collection creation in Fusion
  • Restrict user access to a particular app in Fusion
  • Restricting access to the Rules UI for a specific application
  • Run cross-collection joins using Fusion query pipelines
  • Safely enable AKS autoscaler setting skip-nodes-with-local-storage: false in Fusion environments
  • Scale the boost values to a [min,max] range in the boost with signals stage
  • Search and index nested documents while avoiding child document duplication
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