Learn Elasticsearch, Gulp and Pm2

In this course, you will learn the basics of using Elasticsearch within your application. You will learn how to store and retrieve data in Elasticsearch as well as how to leverage its powerful search features.
 
You will be able to design indices, types and maps for your application to leverage the most from Elasticsearch and you will learn how to monitor the health and performance of your Elasticsearch servers to identify and resolve capacity issues before they impact your application.

Throughout this course, we will be using the [Simpsons dataset](https://www.kaggle.com/wcukierski/the-simpsons-by-the-data) containing all of the Simpsons episodes, characters, and lines. It will be the foundation for learning to retrieve data from Elasticsearch, perform complex searches, and understand and implement best practices for storing data in Elasticsearch. 

elasticsearch

Get Started with Elasticsearch

In this series we will take a look at Gulp. Gulp is a task runner. It is the commander of our army of helper robots that take critical, yet totally mundane, tasks and perform them hundreds of times per day so we don't have to. When we sit down to work, we want to enter a single command, and then spend the rest of our day writing code, testing, and basically not thinking about how it is all glued together in the background.

Automation is critical to any project of significant size. We will start with the Eggly Bookmarks application, and develop proper build automation that will include **production ready** tools that you can start using in your applications today!

AngularJS is an open-source JavaScript framework, maintained by Google, that assists with running single-page applications. Its goal is to augment web-based applications with model–view–controller (MVC) capability, in an effort to make both development and testing easier.

angularjs

Angular Automation with Gulp

In this lesson, we are going to learn how to create a config file to store common values so that we can reuse them multiple times in our `gulpfile.js`. As our `gulpfile.js` grows in complexity, we may find that we are introducing complex and multiple file path references. By creating a `gulp.config.js` file, we can simplify these references and make it easier to refactor and extend in the future. 

Angular Automation: Gulp Config

Closing and opening indices on Elasticsearch allow you to free up resources in your cluster when they aren’t needed, preventing you from scaling or growing your cluster to support unused indices. In this lesson, you will see how easy it is to do both and learn to do so on your own indices.

Close and open an Elasticsearch index

In this lesson, you will learn how to add new documents to the Elasticsearch data store using HTTP methods and the Elasticsearch API. You will also learn how Elasticsearch uniquely identifies each document and what happens when you attempt to create a document that already exists.

Add data to Elasticsearch

In this lesson, we are going to learn how to use `gulp.watch` to detect local file changes and execute additional Gulp tasks. To illustrate this concept, we are also going to hook up `gulp-jshint` to automation lint our JavaScript as we make changes to our code.

Angular Automation: Gulp Watch

Elasticsearch provides several methods for using its powerful search features. In this lesson, you will be introduced to the `_search` endpoint, the datapoints returned in results, how to set a query timeout (and what a timeout *doesn’t* do), and how to search specific indices and types.

Search for data in Elasticsearch using the _search endpoint

Elasticsearch provides a powerful API over http for accessing its features. In this lesson, you will be introduced to the API and learn how to use it to get data from Elasticsearch using the browser and the popular command curl.
We will see how adding  query stream parameters can exclude or include the properties that we desire from our data.

Setup is specified in the `README.md` of the repository linked below.

Get data from Elasticsearch by id using http

By default, search results are limited to the top 10 results. In this lesson, you will learn how to change the pagination size, paginate through results, and you will learn about the performance implications of pagination on Elasticsearch.

Paginate through search results in Elasticsearch

Elasticsearch offers two API endpoints for updating documents. In this lesson you will learn how to use those endpoints to replace entire documents in the store and update partial information within a document.

Update data in Elasticsearch

Elasticsearch provides a full featured client for nodejs available via npm. In this lesson, you will learn to how install the client and use it to retrieve data from your Elasticsearch server.
We will walk through retrieving data through callbacks as well as using promises.

Get data from Elasticsearch by id using the Elasticsearch npm client

Simple searches can be done using query parameters, also known as “Search Lite” by Elasticsearch. You will learn how to perform query parameter searches in this lesson and also discover the upper limits of its usability in this lesson.

Search Elasticsearch using Query Parameters

Query DSL is based on JSON and allows for Leaf and Compound query clauses.  The Query DSL is what you will want to use to write your production queries.  It makes your queries more flexible, precise, easier to read and easier to debug.

Search for data in Elasticsearch using queryDSL language

Using Full Text Search is where the search capabilities of Elasticsearch start to really set it apart from databases. In this lesson, you will learn how to perform full text searches against your data, interpret the results, and understand how the relevance score is impacts your search results. If you are following the examples in this course, be sure to import the Simpsons episode scripts for this lesson by running `node utils/episode_scripts.js` from the git repo directory.

Search for data in Elasticsearch using full text search

Aggregation queries can be thought of as similar to GROUP BY in SQL or the Aggregation Framework in MongoDB, but much more powerful. In this lesson you will learn how to create aggregation queries to group documents and perform rollups and calculations based on the results. Aggregation documentation can be found [here](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations.html)

Perform analytics using Elasticsearch aggregation queries

Creating an alias can make searching easier by providing a friendlier name for the index. It can also be useful to create a filtered subset of the data, providing a better search experience for the client. You will learn how to do both in this lesson.

Create an alias for an Elasticsearch index

The index is the top-most schema level for your data. You will learn how to create an index in this lesson. You will be introduced to shards and replicas and how decisions about them will impact future performance, scalability and resiliency. You also learn what the elasticsearch cluster health status “green”, “yellow”, and “red” mean, not only in terms of cluster health but how it impacts your query search results.

Create an index using the Elasticsearch API

Angular projects require automation. Period. 

In this series we will take a look at Gulp. Gulp is a task runner. It is the commander of our army of helper robots that take critical, yet totally mundane, tasks and perform them hundreds of times per day so we don't have to. When we sit down to work, we want to enter a single command, and then spend the rest of our day writing code, testing, and basically not thinking about how it is all glued together in the background.

Automation is critical to any project of significant size. We will start with the Eggly Bookmarks application, and develop proper build automation that will include **production ready** tools that you can start using in your applications today!

Angular Automation: Introduction to Gulp

In this lesson, you will learn how to delete a single index, multiple indices, or all indices on your Elasticsearch cluster. We’ll see how a simple `DELETE`  request can delete any index you like.

Delete an index using the Elasticsearch API

In this lesson, we are going to learn how to copy assets from one place to another using Gulp. This is important as you start to prepare your source files to be deployed into production. We will learn how to implement `gulp.src`, `gulp.pipe` and `gulp.dest` as well as the **del** plugin as we copy our files from the source directory into a build directory.

Angular Automation: Copy Assets with Gulp

In this lesson, we are going to learn how to use the `gulp-inject` plugin to sanely and efficiently manage our file references with our HTML. Manually declaring JavaScript references will quickly get out of hand as your application grows in size and complexity. The `gulp-inject` plugin solves this problem by taking a stream of files, converting them into string references and then injecting those references into your HTML via annotations. 

Topics

Instructors

Content Type