Getting Started
Architecture of Elasticsearch
Installing Elasticsearch & Kibana
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Running Elasticsearch and Kibana with Docker (5:10)
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Installing Elasticsearch on Mac/Linux (5:20)
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Installing Elasticsearch on Windows (5:36)
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Configuring Elasticsearch (3:43)
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Installing Kibana on Mac/Linux (2:52)
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Installing Kibana on Windows (2:42)
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Configuring Kibana (2:04)
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Introduction to Kibana and dev tools (6:36)
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Using the MSI installer on Windows
Managing Documents
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Creating an index (1:34)
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Adding documents (3:49)
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Retrieving documents by ID (1:16)
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Replacing documents (1:29)
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Updating documents (3:42)
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Scripted updates (3:08)
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Upserts (2:32)
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Deleting documents (3:30)
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Deleting indices (0:49)
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Batch processing (5:56)
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Importing test data with cURL (2:51)
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Exploring the cluster (6:53)
Mapping
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Introduction to mapping (1:23)
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Dynamic mapping (4:27)
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Meta fields (2:50)
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Field data types (13:48)
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Adding mappings to existing indices (1:57)
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Changing existing mappings (3:51)
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Mapping parameters (8:02)
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Adding multi-fields mappings (2:40)
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Defining custom date formats (5:46)
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Picking up new fields without dynamic mapping (7:33)
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Wrap up (0:37)
Analysis & Analyzers
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Introduction to the analysis process (1:53)
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A closer look at analyzers (5:21)
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Using the Analyze API (3:30)
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Understanding the inverted index (4:31)
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Quiz
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Overview of character filters (2:36)
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Overview of tokenizers (8:36)
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Overview of token filters (6:26)
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Overview of built-in analyzers (5:00)
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Configuring built-in analyzers and token filters (4:43)
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Creating custom analyzers (3:13)
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Using analyzers in mappings (3:20)
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Adding analyzers to existing indices (3:30)
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A word on stop words (1:01)
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Wrap up (1:01)
Introduction to Searching
Term Level Queries
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Introduction to term level queries (1:10)
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Searching for a term (2:28)
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Searching for multiple terms (1:48)
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Retrieving documents based on IDs (1:07)
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Matching documents with range values (3:46)
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Working with relative dates (date math) (7:37)
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Matching documents with non-null values (2:00)
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Matching based on prefixes (1:19)
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Searching with wildcards (2:34)
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Searching with regular expressions (3:03)
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Exercises (1:07)
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Exercises: Solutions (6:16)
Full Text Queries
Adding Boolean Logic to Queries
Relationship Queries
Controlling Query Results
Aggregations
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Introduction to aggregations (2:43)
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Metric aggregations (9:40)
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Introduction to bucket aggregations (6:25)
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Document counts are approximate (6:22)
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Nested aggregations (5:58)
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Filtering out documents (2:31)
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Defining bucket rules with filters (3:16)
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Range aggregations (7:54)
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Histograms (8:01)
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Global aggregation (2:59)
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Missing field values (2:27)
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Aggregating nested objects (2:16)
Improving Search Results
