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  • Introduction
  • 1. The Ideal Workspacechevron-right
  • 2. Learning Gitchevron-right
  • 3. The Backendchevron-right
  • 4. Multi-tenancy With Loopbackchevron-right
  • 5. The Frontendchevron-right
  • 6. ElasticSearchchevron-right
    • Better Search with NGram
    • NGram with Elasticsearch
    • Fun with Path Hierarchy Tokenizer
    • Working with Mappings and Analyzers
  • 7. Promiseschevron-right
  • 8. Learning Dockerchevron-right
  • 9. Queues & Workerschevron-right
  • 10. Dockerchevron-right
  • Appendixchevron-right
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  1. 6. ElasticSearch

Fun with Path Hierarchy Tokenizer

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Use Cases

Here are questions and scenarios from folks trying to use it:

  1. How do I index hierarchical data?arrow-up-right

  2. Terms aggregation query performance slowarrow-up-right

  3. Denormalization and Concurrency arrow-up-right

  4. Employee Hierarchy Usecasearrow-up-right

  5. Match against stored wildcard stringarrow-up-right

  6. Domain name analyzer/tokenizerarrow-up-right

  7. Performance impact of the "include/exclude" fields of an aggregationarrow-up-right

  8. Aggregation on a materialized patharrow-up-right

  9. An elasticsearch plugin to create hierarchical aggregationsarrow-up-right

  10. Parent child deep level hierarchyarrow-up-right

  11. Add folderdepth in Path_hierarchyarrow-up-right

  12. Structuring data for hierarchyarrow-up-right

  13. Elasticsearch - using the path hierarchy tokenizer to access different level of categoriesarrow-up-right

  14. Question about custom analyzerarrow-up-right

  15. Path_hierarchy with custom delimiter fails when values starts with a numberarrow-up-right

  16. Wild card or pattern in Kibana query?arrow-up-right

PreviousNGram with Elasticsearchchevron-leftNextWorking with Mappings and Analyzerschevron-right

Last updated 7 years ago