Elasticsearch Queries In Practice

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Piotr Zuk

7:49:41

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1. About this Course and Author

1. About the author.mp4

01:15

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.mp4

01:50

2. Role of Elasticsearch in the infrastructure.mp4

09:01

3. Basic Terms.mp4

03:29

4. Search in Elasticsearch cluster

1. Distributed Search.mp4

10:04

2. Source and Inverted Index.mp4

07:35

5. Query DSL

1. How to run Elasticsearch & Kibana.mp4

11:14

2. Sample DataSet.mp4

20:35

3. Search Types.mp4

02:29

4. Search API.mp4

16:30

5.1 requests.txt

5. Term Query.mp4

08:51

6.1 requests.txt

6. Bool Query.mp4

13:38

7. Query context or Filter context.mp4

03:42

8.1 requests.txt

8. Range Query.mp4

16:34

9.1 requests.txt

9. Prefix Query & Wildcard Query.mp4

05:31

10.1 requests.txt

10. Regexp Query.mp4

06:09

11.1 requests.txt

11. Match Query.mp4

17:49

12.1 requests.txt

12. QueryString Query.mp4

13:39

13.1 requests.txt

13. Fuzzy query.mp4

13:19

14.1 requests.txt

14. Span Query.mp4

10:22

15.1 requests.txt

15. Geo Query.mp4

07:59

16.1 requests.txt

16. Nested objects & nested query.mp4

16:37

17.1 requests.txt

17. Reverse search - Percolate.mp4

16:14

6. Aggregations

1.1 requests.txt

1. Aggregations Overview.mp4

06:42

2.1 requests.txt

2. Aggregations - Metric Aggregations.mp4

13:29

3.1 requests.txt

3. Aggregations - Bucketing Aggregations.mp4

29:12

4.1 requests.txt

4. Aggregations - Pipeline Aggregations.mp4

07:16

7. Search API special features

1.1 requests.txt

1. Highlighting.mp4

19:33

2.1 requests.txt

2. Suggestions And Spell Correction.mp4

17:10

3.1 requests.txt

3. Search templates.mp4

09:39

4.1 requests.txt

4.2 tmp.txt

4. Source filtering.mp4

23:56

5.1 requests.txt

5. Scroll API.mp4

05:01

8. Tuning & Optimizations

1. Tuning & good practices.mp4

21:54

2. Index naming convention.mp4

03:14

3.1 requests.txt

3. Search Profiler.mp4

05:43

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

4.2 perftest.zip

4. Performance testing.mp4

24:33

5.1 requests.txt

5. Slowlog.mp4

07:33

6.1 requests.txt

6. Custom Routing.mp4

19:30

7.1 requests.txt

7. Custom Scoring.mp4

19:24

9. Congratulations

1. Thank You!.mp4

01:26

Description

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

What You'll Learn?

Elasticsearch Query DSL & Search API best practices
Distributed search architecture & basic terms
How to tune-up and analyze queries
How to customize routing and scoring
How to do highlighting, suggestions, spell corrections
How to design effective notifications with Percolate Query
How to analyze and aggregate data using aggregations
How to use query templates

Who is this for?

Software Engineers

Architects

DevOps & Administrators

Developers & QA

What You Need to Know?

No programming nor administrative experience needed

Basic HTTP and RESTful API experience is fine enough

Access to any running Elasticsearch/Kibana deployment is optional (course contains simple installation guide)

More details

Description
This course will guide you how to properly and effectively use Elasticsearch Query DSLÂ (Domain Specific Language) based on JSON to define queries. Additionally I present most commonly used Search APIs that will help you fully understand how Elasticsearch works and how to use it to build modern search applications, like Google, Bing, Yahoo!, DuckDuckGo etc. Course contains a lot of practical knowledge, examples and hands-on lectures.
If you are a beginner, don't worry, course guides you from very generic concept of lucene inverted index and role of search engines like Elasticsearch) in the system architecture to more advanced features.
If you have no data to play with, don't worry we import sample datasets at the very beginning of this course.
If you already have experience with Elasticsearch, you will enjoy the advanced part of it. Maybe you wonder if the way that use use Elasticsearch is the proper way and maybe your queries can return results faster ? If so, then course will help you find answers to that questions, optionally grounding and strengthening your exiting experience. No matter what is your existing level of knowledge, after completing this course, you will be ready to become a true professional in the Elasticsearch community.
In this course, I will show you how to properly use Elasticsearch product. We will start by explaining basic terms and role of Elasticsearch in the system architecture. Then, after importing sample data, we will go through term based queries, range queries, specialized queries, geo queries, nested queries and so on. We will get to know how to build effective notifications by using percolate queries or aggregate and analyze results using aggregations.
Iâ€™ll show you how to do highlighting, suggestions, spell corrections, and template your queries. At the end we will cover tuning and optimization best practices, query profiling, performance testing and customize default routing and scoring.
Overall, you'll learn how to properly and effectively query Elasticsearch in the easy way, without spending hours reading manuals.
I hope to see you in the first lecture.
Who this course is for:
Software Engineers
Architects
DevOps & Administrators
Developers & QA

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Elasticsearch

Piotr Zuk

Instructor's Courses

I'm a Software Engineer with over 24 years of experience. Since 2013 I’ve been working with BigData systems which process hundreds of terabytes of various data on a daily basis. Among others, I spent those years mostly with RabbitMQ, Elasticsearch and AWS services. Thanks to the many projects I have participated in and many projects I started to be responsible for, I've become a professional in the RabbitMQ and Elasticsearch domains. People started asking Me for a help with their clusters, architectures and to audit existing configurations and system architectures. In this way, I become a consultant and trainer.I continue my professional career as a Software Engineer and Development Manager in many international companies, but I'm more than happy when I can meet with people to share experience and good practices on both technologies which brought me here: RabbitMQ and Elasticsearch.

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