Kibana + Logstash + Elasticsearch log query system, kibanalostash
The purpose of this platform is to facilitate log query During O M and R D. Kibana is a free web shell. Logstash integrates various log collection plug-ins and is also an excellent regular-cut log tool. Elasticsearch is an open-source search engine framework (supporting cluster architecture ).
1 installation requirement 1.1 theoretical Topo
1. No log Analysis System 1.1 operation and maintenance pain points1. Operations are constantly looking at various logs.2. The fault has occurred before looking at the log (time issue. )3. Many nodes, log scattered, the collection of logs became a problem.4. Run logs, errors and other logs, no specification directory, collect difficulties.1.2 Environmental Pain Points1. Developers cannot log on to the online server to view detailed logs.2. Each system has a log, log data scattered difficult to f
Java uses ElasticSearch to query millions of users nearby,
The previous article introduced how ElasticSearch uses Repository and ElasticSearchTemplate to construct complex query conditions, and briefly introduced the use of geographical location in ElasticSearch.
In this article, we will take a look at the use of ElasticSearc
The discovery mechanism is unicast by default and needs to be configured with discovery.zen.ping.unicast.hosts: If each node uses the default port, only the IP (["172.17.4.47", "172.17.4.48", ' 172.17.4.49 ']), if the default port is not used, configure the ip+ port (["172.17.4.47:9301", "172.17.4.48:9301", ' 172.17.4.49:9301 ')
RESTAPI does not support dropping indexes, closing indexes, and cannot do this in head, if you want to remove the Use Curl command (Curl-xdelete http://172.17.4.47:92
Elasticsearch-head is a Elasticsearch cluster management tool, which is a standalone web program written entirely by HTML5, and you can integrate it into ES via plugins. or directly download the source code, open index.html locally to run it. The GIT address for this tool is: Https://github.com/Aconex/elasticsearch-headPlug-in Installation method:1,
Elasticsearch's Javaapi query dsl-queriesLike the rest query dsl ,elasticsearch provides a complete Java query DSL. The Query Builder (factory) is QueryBuilders . Once you have your query ready , You can use the query API.How to useQueryBuilders?仅仅就是加入下面的包:Import org . Elasticsearch . Index . Query . querybuilders .*;Note that you can easily print ( aka Debug ) The JSONgenerated by the query, using the toS
Brief Analysis of the client source code of Elasticsearch, elasticsearchclientProblem
It makes us learn with problems more efficient.
1. Can the client automatically discover all nodes in the cluster when only one node is configured in the es cluster? How was it discovered?
2. How does the es client achieve load balancing?
3. After an elasticsearch node fails, how does the
Today, when learning Lucene, see the book that describes Elasticsearch,elasticsearch is a Lucene-based search server. It provides a distributed multi-user capability full-text search engine, based on the RESTful web interface, Elasticsearch is developed in Java. Now take a look at the steps I have to install Elasticsearch
For an introduction to curl, pleaseCurl of Elasticsearch Learning conceptTo start ES, pleaseElasticsearch front and rear operation and stop (TAR package mode) Elasticsearch front and rear station operation and stop (RPM package mode) Create an index library, I named Zhouls here[Email protected] elasticsearch-2.4.3]$ curl-xput ' http://192.168.80.200:9200/zhouls'
Document directory
4. Performance Tuning
The purpose of this platform is to facilitate log query During O M and R D. Kibana is a free web shell. logstash integrates various log collection plug-ins and is also an excellent regular-cut log tool. elasticsearch is an open-source search engine framework (supporting cluster architecture ).
1 installation requirement 1.1 theoretical Topology
1.2 installation environment 1.2.1 hardware environment
192
This is the information that beginners can easily understand when installing logstash + kibana + elasticsearch + redis. The installation has been completed according to the following steps.
There are two servers:192.168.148.201logstash index, redis, elasticsearch, kibana, JDK192.168.148.129 logstash agent, JDK
1System Application
Logstash: a fully open-source tool for log collection, analysis, and storage.
is still more useful for everyone can refer to the official documents;
The rest of the use is not much, we can refer to the official documents, here do not do too much introduction;
V. Search API Introduction
Search API Implementation of the data stored in the Elasticsearch query analysis, through the _search way to query, there are basically the following 4
(a) Why use the search.
The crawler system is generally divided into multi-threaded download, link pool, data storage, retrieval system and so on. This retrieval system consolidates the information we crawl and speeds up our search. In addition, not only the crawler system use, I feel in all want to make the results index to provide query needs can use a retrieval system, such as personal Social library, large-scale vulnerability scanning system (can be used as a zombie network) and so on. There
ElasticSearch-Basic Concepts
For articles translated by others, it is very important to master the following basic concepts for learning Elasticsearch. You can try to align the following concepts with MySQL (databases, tables, data rows, fields.
Basic Concepts
Elasticsearch has several core concepts. Understanding these concepts from the very beginning will be of
Full-text search engine Elasticsearch getting started tutorial,
Full-text search is the most common requirement. Open-source Elasticsearch (hereinafter referred to as Elastic) is the first choice for full-text search engines.
It can quickly store, search, and analyze massive data volumes. Wikipedia, Stack Overflow, and Github all use it.
The underlying layer of Elastic is the Open Source library Lucene.
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.