obsidian-mkdocs template
Index
Initializing search
    • Obsidian Notes
      • Index
        • Inspecting the cluster
        • Adding more nodes to the cluster (for development)
        • Overview of node roles
        • Sending queries with cURL
        • Setting up Elasticsearch & Kibana on macOS & Linux
        • Setting up Elasticsearch & Kibana on Windows
        • Sharding and scalability
        • Understanding replication
        • Batch processing
        • Creating & Deleting Indices
        • Delete by query
        • Deleting documents
        • Importing data with cURL
        • Indexing documents
        • Optimistic concurrency control
        • Replacing documents
        • Retrieving documents by ID
        • Scripted updates
        • Update by query
        • Updating documents
        • Upserts
        • Debugging `bool` queries with named queries
        • How the `match` query works
        • Querying with boolean logic
        • Aggregating nested objects
        • Defining bucket rules with filters
        • Filtering out documents
        • `global` aggregation
        • Histograms
        • Introduction to aggregations
        • Introduction to bucket aggregations
        • Metric aggregations
        • Missing field values
        • Nested aggregations
        • Range aggregations
        • Filters
        • Sorting by multi-value fields
        • Sorting results
        • Source filtering
        • Specifying an offset
        • Specifying the result format
        • Specifying the result size
        • Exercises
        • Flexible matching with `match` query
        • Introduction to full text queries
        • Matching phrases
        • Searching multiple fields
        • Adding synonyms from file
        • Adding synonyms
        • Affecting relevance scoring with proximity
        • Fuzzy `match` query
        • `fuzzy` query
        • Highlighting matches in fields
        • Proximity searches
        • Stemming
        • Debugging unexpected query results
        • Full text queries vs term level queries
        • Introducing the Query DSL
        • Searching with the request URI
        • Understanding relevance scores
        • Adding documents
        • Mapping document relationships
        • Multi-level relations
        • Nested inner hits
        • Parent/child inner hits
        • Querying by parent
        • Querying child documents by parent
        • Querying nested objects
        • Querying parent by child documents
        • Terms lookup mechanism
        • Adding analyzers to existing indices
        • Adding explicit mappings
        • Adding mappings to existing indices
        • Combining explicit and dynamic mapping
        • Configuring dynamic mapping
        • Creating custom analyzers
        • Defining field aliases
        • Dynamic templates
        • How dates work in Elasticsearch
        • How the `keyword` data type works
        • Index templates
        • Multi-field mappings
        • Reindexing documents with the Reindex API
        • Retrieving mappings
        • Understanding arrays
        • Understanding type coercion
        • Updating analyzers
        • Updating existing mappings
        • Using dot notation in field names
        • Using the Analyze API
        • Exercises
        • Matching based on prefixes
        • Matching documents with non-null values
        • Matching documents with range values
        • Retrieving documents based on IDs
        • Searching for a term
        • Searching for multiple terms
        • Searching with regular expressions
        • Searching with wildcards
        • Working with relative dates
      • Part 1: Intro to Elasticsearch & Kibana
      • Part 2 Understanding the relevance of your search with Elasticsearch and Kibana
      • Part 3 Running full text queries and combined queries with Elasticsearch and Kibana
      • Beginner's Crash Course to Elastic Stack Series
      • Part 5 Understanding Mapping with Elasticsearch and Kibana
      • Untitled

    Index

    This repository contains all of the queries used within the Complete Guide to Elasticsearch course.

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