Curriculum For This Course

Getting Started

2Lectures

Time 00:24:22

Architecture of Elasticsearch

9Lectures

Time 00:28:52

Installing Elasticsearch & Kibana

7Lectures

Time 00:28:53

Managing Documents

12Lectures

Time 00:37:28

Mapping

11Lectures

Time 00:52:50

Analysis & Analyzers

14Lectures

Time 00:54:40

Introduction to Searching

8Lectures

Time 00:31:44

Term Level Queries

10Lectures

Time 00:26:52

Full Text Queries

4Lectures

Time 00:11:24

Adding Boolean Logic to Queries

4Lectures

Time 00:21:25

Joining Queries

13Lectures

Time 00:59:46

Controlling Query Results

8Lectures

Time 00:27:51

Aggregations

12Lectures

Time 01:00:32

Improving Search Results

9Lectures

Time 00:54:19

Building a Web Application Search Engine

6Lectures

Time 00:47:49

Conclusion

1Lectures

Time 00:00:47

Legacy Content (version 2.x)

36Lectures

Time 02:52:42

Getting Started
	1. Introduction to Elasticsearch	05:33
	2. Overview of the Elastic Stack	06:05

Architecture of Elasticsearch
	1. Introduction to this section	01:12
	2. Nodes & Clusters	05:01
	3. Indices & Documents	01:32
	4. A word on types	01:21
	5. Sharding	02:56
	6. Replication	02:43
	7. Keeping replicas synchronized	02:34
	8. Searching for data	03:14
	9. Distributing documents across shards	01:16

Installing Elasticsearch & Kibana
	1. Installing Elasticsearch on Mac/Linux	05:18
	2. Installing Elasticsearch on Windows	05:33
	3. Configuring Elasticsearch	03:41
	4. Installing Kibana on Mac/Linux	02:49
	5. Installing Kibana on Windows	02:40
	6. Configuring Kibana	02:02
	7. Introduction to Kibana and dev tools	06:34

Managing Documents
	1. Creating an index	01:32
	2. Adding documents	03:47
	3. Retrieving documents by ID	01:13
	4. Replacing documents	01:26
	5. Updating documents	03:39
	6. Scripted updates	03:06
	7. Upserts	02:29
	8. Deleting documents	03:28
	9. Deleting indices	00:46
	10. Batch processing	05:54
	11. Importing test data with cURL	02:49
	12. Exploring the cluster	06:50

Mapping
	1. Introduction to mapping	01:23
	2. Dynamic mapping	03:53
	3. Meta fields	02:47
	4. Field data types	13:46
	5. Adding mappings to existing indices	01:55
	6. Changing existing mappings	03:49
	7. Mapping parameters	07:57
	8. Adding multi-fields mappings	02:38
	9. Defining custom date formats	05:42
	10. Picking up new fields without dynamic mapping	07:31
	11. Wrap up	00:37

Analysis & Analyzers
	1. Introduction to the analysis process	01:41
	2. A closer look at analyzers	04:43
	3. Using the Analyze API	03:28
	4. Understanding the inverted index	04:31
	5. Overview of character filters	02:34
	6. Overview of tokenizers	08:34
	7. Overview of token filters	06:24
	8. Overview of built-in analyzers	04:58
	9. Configuring built-in analyzers and token filters	04:40
	10. Creating custom analyzers	03:11
	11. Using analyzers in mappings	03:18
	12. Adding analyzers to existing indices	03:27
	13. A word on stop words	01:01
	14. Wrap up	01:01

Introduction to Searching
	1. Search methods	01:49
	2. Searching with the request URI	03:48
	3. Introducing the Query DSL	02:20
	4. Understanding query results	01:55
	5. Understanding relevance scores	09:53
	6. Debugging unexpected search results	01:41
	7. Query contexts	02:26
	8. Full text queries vs term level queries	05:56

Term Level Queries
	1. Introduction to term level queries	01:10
	2. Searching for a term	02:26
	3. Searching for multiple terms	01:46
	4. Retrieving documents based on IDs	01:05
	5. Matching documents with range values	03:44
	6. Working with relative dates (date math)	07:35
	7. Matching documents with non-null values	01:57
	8. Matching based on prefixes	01:17
	9. Searching with wildcards	02:32
	10. Searching with regular expressions	02:56

Full Text Queries
	1. Introduction to full text queries	02:21
	2. Flexible matching with the match query	04:43
	3. Matching phrases	01:36
	4. Searching multiple fields	02:36

Adding Boolean Logic to Queries
	1. Introduction to compound queries	00:49
	2. Querying with boolean logic	10:35
	3. Debugging bool queries with named queries	03:14
	4. How the “match” query works	06:25

Joining Queries
	1. Introduction to this section	02:14
	2. Querying nested objects	05:49
	3. Nested inner hits	03:57
	4. Mapping document relationships	02:40
	5. Adding documents	06:32
	6. Querying by parent ID	02:49
	7. Querying child documents by parent	05:12
	8. Querying parent by child documents	05:53
	9. Multi-level relations	09:39
	10. Parent/child inner hits	01:58
	11. Terms lookup mechanism	06:09
	12. Join limitations	01:16
	13. Join field performance considerations	03:57

Controlling Query Results
	1. Specifying the result format	02:59
	2. Source filtering	04:23
	3. Specifying the result size	01:33
	4. Specifying an offset	02:07
	5. Pagination	05:04
	6. Sorting results	05:14
	7. Sorting by multi-value fields	02:25
	8. Filters	03:50

Aggregations
	1. Introduction to aggregations	02:17
	2. Metric aggregations	08:55
	3. Introduction to bucket aggregations	06:23
	4. Document counts are approximate	06:22
	5. Nested aggregations	05:19
	6. Filtering out documents	02:29
	7. Defining bucket rules with filters	03:13
	8. Range aggregations	07:24
	9. Histograms	07:15
	10. Global aggregation	02:57
	11. Missing field values	02:25
	12. Aggregating nested objects	02:14

Improving Search Results
	1. Introduction to this section	00:27
	2. Proximity searches	07:15
	3. Affecting relevance scoring with proximity	05:32
	4. Fuzzy match query (handling typos)	08:47
	5. Fuzzy query	02:31
	6. Adding synonyms	12:08
	7. Adding synonyms from file	05:38
	8. Highlighting matches in fields	06:02
	9. Stemming	05:23

Building a Web Application Search Engine
	1. Introducing Application & Client Libraries	06:40
	2. Adding a simple query	06:30
	3. Paginating search results	08:34
	4. Adding fuzziness	04:48
	5. Aggregations & Filters	17:36
	6. Adding product details page	03:41

Conclusion
	1. Last words & summing up	00:47

Legacy Content (version 2.x)
	1. Introduction to this course	01:06
	2. Introduction to Elasticsearch	03:07
	3. Terminology	08:16
	4. Installing Elasticsearch	03:19
	5. Installing Kibana	04:23
	6. Installing Sense	02:59
	7. Creating an index	04:02
	8. Deleting an index	01:17
	9. Introduction to mapping	05:01
	10. Field data types	13:09
	11. Meta fields	06:15
	12. Adding mappings	04:13
	13. Adding test data	02:22
	14. Adding documents	04:34
	15. Replacing documents	01:47
	16. Updating documents	02:05
	17. Deleting documents	01:13
	18. Batch processing	08:01
	19. Retrieving document by ID	01:40
	20. Introduction to searching	07:15
	21. Searching with query strings: Basics	04:21
	22. Searching with query strings: Bool query	04:00
	23. Searching with query strings: Phrase query	03:20
	24. Searching with query strings: Remarks	01:17
	25. Searching with Query DSL: Full text queries	05:26
	26. Searching with Query DSL: Term level queries	07:01
	27. Searching with Query DSL: Compound queries	07:39
	28. Searching across indexes and types	08:20
	29. Fuzzy searches	09:21
	30. Proximity searches	05:54
	31. Boosting	04:27
	32. Filtering results	03:08
	33. Changing the size of result sets	01:51
	34. Pagination	03:31
	35. Sorting results	02:30
	36. Aggregations	13:40

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Curriculum For This Course

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