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problem For search results, you need to sort them intelligently according to relevanceHowever, for some similar text content and consistent search scores, you need to enable other sorting rules, such as timeLater, it is found that for these similar texts, the score of some texts is different from that of other texts, resulting in the ranki ...

background After aggregating and querying a filter field in ES, similar to groupBy operation, it is found that the new data in this field is not displayed, but the user can query the new filter data after full-text retrieval, and has carried out relevant troubleshooting for this problem. Troubleshooting ideas First, we need to clarify our data ...

1. Data preparation 1. Create an index mapping: PUT /cars { "mappings": { "properties": { "price":{ "type": "integer" }, "color":{ "type": "keyword" }, "make":{ "type": "keyword" }, "sold":{ "type": "date" } } } } 2. Index documents: POST /cars ...

By default, elastic search uses a standard text analyzer for all text analysis, which provides out of the box support for most natural languages and use cases. If you choose to use the standard analyzer as is, no further configuration is required. If the standard analyzer does not meet your needs, check and test Elasticsearch's other built-in ...

Elastasearch - Introduction and installation Full text search belongs to the most common requirement, open source Elasticsearch (hereinafter referred to as ES) is the first choice of full-text search engine. It can quickly store, search and analyze massive data. The bottom layer of ES is the open source library Lucene. ES is a Lucene based se ...

Introduction to ElasticSearch and its deployment, principle and use Chapter 1: introduction to elastic search Elasticsearch is a Lucene based search server. It provides a distributed multi-user full-text search engine based on RESTful web interface. Elasticsearch is developed in Java and released as an open source under the Apache license ter ...

In ES, we can set Index Template and Dynamic Template to better manage and set indexes and mapping for us. 1, Index Template For example, we need to use es for log management. We all know that the amount of log data is very large. If a single index is used to save all log data, there may be some performance problems. We can automaticall ...

ElasticSearch node type Master node: node master:true; Data node: node data:true; Client node When the configuration of the master node and the data node is false, the node is immature and mischievous, processing routing requests, processing searches, distributing index operations, etc; It shows the effect of load balancing;An independen ...

I remember in the previous article“ Logstash: API analysis using ELK stack ”Use Logstash to analyze the API of some indicators. In today's exercise, I will show how to use Logstash to analyze the service APIs of some log classes. We know that in many cases, we can quickly use some scripts to analyze the data of some service APIs. Th ...

1. ElasticSearch overview The Elastic Stack, including elasticsearch, Kibana Beats and Logstash (also known as ELK Stack). It can safely and reliably obtain data from any source and any format, and then search, analyze and visualize the data in real time. Elasticsearch, abbreviated as ES, is an open-source and highly extended distributed full- ...