Elasticsearch Queries In Practice

سرفصل های دوره

A Complete Guide to Elasticsearch Query DSL, Search API, Optimization & Tune-up

1. About this Course and Author

1. About the author

2. Code & Slides Download

1.1 Elasticsearch Udemy - exported.pdf

1.2 Elasticsearch-In-Practice.html

1. Slides and Code Download.html

3. Prerequisites

1. How to prepare yourself to this course

2. Role of Elasticsearch in the infrastructure

3. Basic Terms

4. Search in Elasticsearch cluster

1. Distributed Search

2. Source and Inverted Index

5. Query DSL

1. How to run Elasticsearch & Kibana

2. Sample DataSet

3. Search Types

4. Search API

5.1 requests.txt

5. Term Query

6.1 requests.txt

6. Bool Query

7. Query context or Filter context

8.1 requests.txt

8. Range Query

9.1 requests.txt

9. Prefix Query & Wildcard Query

10.1 requests.txt

10. Regexp Query

11.1 requests.txt

11. Match Query

12.1 requests.txt

12. QueryString Query

13.1 requests.txt

13. Fuzzy query

14.1 requests.txt

14. Span Query

15.1 requests.txt

15. Geo Query

16.1 requests.txt

16. Nested objects & nested query

17.1 requests.txt

17. Reverse search - Percolate

6. Aggregations

1.1 requests.txt

1. Aggregations Overview

2.1 requests.txt

2. Aggregations - Metric Aggregations

3.1 requests.txt

3. Aggregations - Bucketing Aggregations

4.1 requests.txt

4. Aggregations - Pipeline Aggregations

7. Search API special features

1.1 requests.txt

1. Highlighting

2.1 requests.txt

2. Suggestions And Spell Correction

3.1 requests.txt

3. Search templates

4.1 requests.txt

4.2 tmp.txt

4. Source filtering

5.1 requests.txt

5. Scroll API

8. Tuning & Optimizations

1. Tuning & good practices

2. Index naming convention

3.1 requests.txt

3. Search Profiler

4.1 All resources at github.com (attachment too big).html

4.2 perftest.zip

4. Performance testing

5.1 requests.txt

5. Slowlog

6.1 requests.txt

6. Custom Routing

7.1 requests.txt

7. Custom Scoring

9. Congratulations

1. Thank You!

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تولید کننده: Udemy