Elasticsearch Search Api And Query Dsl In Practice

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

Requirements

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)

Description

This course will guide you how to properly and effectively use Elasticsearch Query DSL (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. I’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.

Overview

Section 1: About this Course and Author

Lecture 1 About the author

Section 2: Code & Slides Download

Lecture 2 Slides and Code Download

Section 3: Prerequisites

Lecture 3 How to prepare yourself to this course

Lecture 4 Role of Elasticsearch in the infrastructure

Lecture 5 Basic Terms

Section 4: Search in Elasticsearch cluster

Lecture 6 Distributed Search

Lecture 7 Source and Inverted Index

Section 5: Query DSL

Lecture 8 How to run Elasticsearch & Kibana

Lecture 9 Sample DataSet

Lecture 10 Search Types

Lecture 11 Search API

Lecture 12 Term Query

Lecture 13 Bool Query

Lecture 14 Query context or Filter context

Lecture 15 Range Query

Lecture 16 Prefix Query & Wildcard Query

Lecture 17 Regexp Query

Lecture 18 Match Query

Lecture 19 QueryString Query

Lecture 20 Fuzzy query

Lecture 21 Span Query

Lecture 22 Geo Query

Lecture 23 Nested objects & nested query

Lecture 24 Reverse search - Percolate

Section 6: Aggregations

Lecture 25 Aggregations Overview

Lecture 26 Aggregations - Metric Aggregations

Lecture 27 Aggregations - Bucketing Aggregations

Lecture 28 Aggregations - Pipeline Aggregations

Section 7: Search API special features

Lecture 29 Highlighting

Lecture 30 Suggestions And Spell Correction

Lecture 31 Search templates

Lecture 32 Source filtering

Lecture 33 Scroll API

Section 8: Tuning & Optimizations

Lecture 34 Tuning & good practices

Lecture 35 Index naming convention

Lecture 36 Search Profiler

Lecture 37 Performance testing

Lecture 38 Slowlog

Lecture 39 Custom Routing

Lecture 40 Custom Scoring

Section 9: Congratulations

Lecture 41 Thank You!

Software Engineers,Architects,DevOps & Administrators,Developers & QA