It is said that programmers have high salary and good treatment. In 2022, gold, nine and silver are coming. Is your small goal 30K, 40K, or 20K with 16 salary? As a Java development engineer, when the ability can meet the company's business needs, it is not difficult to get an offer that exceeds expectations. However, what is the fastest and most effective way to improve Java core competencies, and what is the short-term promotion and salary increase?
First of all, you need to jump out of your daily work and get in touch with more in-depth and cutting-edge top-level projects. A simple logic: The reason why big factories can give salaries higher than the industry standard is precisely because even ordinary developers have to deal with many complex scenarios. These complex scenes and projects are like "the world outside the wall". If you haven't seen or touched them, you can't carry out systematic learning and establish cognition, and technical barriers will naturally appear.
Therefore, if you expect to achieve income growth and job promotion through personal efforts, the best way must be to learn more and see more.
As the most popular open source search engine at present, Elasticsearch has almost no competitors in the same field - in the database evaluation of DBRanking in the past two years, ES has always ranked first in the field of search engines, Tencent, Didi, Toutiao, Ele.me , 360 Security, Xiaomi, vivo and many other well-known companies are using it.
In addition, Elasticsearch is also widely used in near real-time analysis of big data, including log analysis, indicator monitoring, information security and other fields. It can not only explore massive structured and unstructured data, create visual reports on demand, set alarm thresholds for monitoring data, but also automatically identify abnormal conditions by using machine learning. Also, getting started with Elasticsearch is easy, and it takes a few minutes to set up a development environment and you can process petabytes of data on hundreds of servers. But to understand and use effectively, it is not so simple , such as:
However, many friends have struggled to read boring books without progress, so I stayed up all night and sorted out this Elasticsearch core knowledge learning manual PDF, non-e-book, based on the latest 7.x version of Elasticsearch, explaining the basic concepts of ES from the simple to the deep Build with the service, familiarize you with its operating mechanism and common skills, and master the application of ES in actual projects through hands-on combat. Hope this information will be helpful for your interview.
Sections one to three
- Introduction to the Elastic Stack
- What is Elasticsearch
- Elasticsearch related software installation
Sections 4 to 6
- esquick start
- Getting started with documentation
- Java api implements document management
Sections Seven to Nine
- Graphical es internal mechanism
- Graphical document storage mechanism
- Getting Started with Mapping
Sections ten to twelve
- Getting Started with Index
- Chinese tokenizer IK tokenizer
- java api implements index management
Sections thirteen to fifteen
- searchGetting started
- java api implements search
- Detailed explanation of the scoring mechanism
Sections sixteen to eighteen
- Getting Started with Aggregation
- java api implements aggregation
- es7 sql new features
Sections nineteen to twenty-two
- Logstash learning
- kibana learning
- Cluster deployment
- Project combat
Summarize
In fact, if you want to master Elasticsearch, you must not only understand the principle of its distributed architecture, but also master some knowledge and related skills in the field of information retrieval. Here, I will share with you a core knowledge map of Elasticsearch . Only by deeply understanding each knowledge point can we solve practical problems at work.
