Getting to Know Elasticsearch: The Best Tips in Using Elasticsearch

Everyone today is fond of using Elasticsearch because of its powerful and amazing uses. But do you know the tricks in using it?

People have been using Elasticsearch is also an open source, broadly-distributable, enterprise-grade, and readily scalable search engine. It is also accessible through an extensive and elaborated API.

Thus, Elastricsearch can power en application in an extremely fast search that supports your app’s data discovery. Not only that but people love using this also because it can be installed for free!

Yes, you’ve heard that right, it’s free! However, there are certain and important tips that you should know in using Elastic search. Here is a detailed Elasticsearch tutorial PDF for you.

What is Elasticsearch

When ask my most folks to describe Elasticsearch, you will definitely get a variety of answers. Yet still, a lot of senior developers will still struggle to answer with a definite description.

Most likely, If you aren’t a user of Elasticsearch, then it’s clear that you don’t have a clear, accurate and concise answer. Today, let’s find out what really is an Elasticsearch.

The elasticsearch is a distributed analytics and search engine based on Lucene. It was also the most popular solution in the industry since 2010.  The system was developed by Elastic in complementation with other related projects like Logstash data collections and analyzing system, visualization and analytics platform that works in a Kibana environment.

Apart from that, it is also best to check out the Ansible Playbook tutorial for more options. Furthermore, let’s check out some of the ES features.

Elasticsearch Features

Elasticseach provides a scaled system that is reliable in supporting multithreading. Search indexes are also divided into segments, which also has several copies.

visualization and analytics platform

Here are some of the features elasticsearch has.

1.Persistent connections

The program uses persistent connections inside an individual connection pool. You can also choose between two HTTP protocol implementations.

2.Automatic retries

If a connection to a node fails because of a connection error, then it is considered a faulty state. It will be then put on hold for timeout seconds and the request will be immediately processed and tried again. However, if it fails for multiple times then the timeout will progressively grow larger to avoid hitting a node down.

3.Sniffing

The user will undergo a configuration for the inspecting of the cluster state to get a list of nodes upon startup. This happens periodically or during failure.

4.Thread safety

The user’s thread is definitely safe and it can also be used for a multi-threaded environment. You can create a single global instance to the user and use it all throughout your application.

The client is thread-safe and can be used in a multi-threaded environment.

5.SSL and Authentication

SSL configuration by the user can be used by connecting to an elasticsearch cluster which also includes the certificate verification and HTTP authentication.

6.Logging

The program uses the standard logging library from python that will help in defining two loggers which is the elasticsearch and the elasticsearch.trace.

The elasticsearch is used by the user to log standard activity depending on the log level. While the elasticsearch.trace is used to request logs to the server through curl commands using printed JSON which can be executed from the command line.

Tips in Using Elasticsearch

There is a lot of Elasticseacrh tutorial PDF you can find on the internet today. Yet not all of those are reliable and worth reading. Here are a few tips that you’re guaranteed that is effective and proven.

1.Get to know your Elasticsearch cluster topology before you set configuration

Loggly is a running Elasticsearch which has a separate master and data nodes. With its presence, you need to determine your deployment topology to ensure you make the right ES configuration decisions.

In addition to that, you also have to use a separate ES node for indexing and searching. Doing so load off the data nodes, but it is also important to talk to a local client who’ll communicate with the rest of the cluster.

2.Use Doc values

Doc values are commonly used by default for 2.0 and even more. However, you have to enable these in their earlier version of ES. Doing so will provide significant advantages than those normal fields when you’re doing a lot of sorting or aggregation.

Final Thoughts

Aside from Elasticsearch, there are also other programs like Ansible Playbook and Weka tutorial PDF which you can also check.