elasticsearch reindex

We set up a Web site or application and want to add search capabilities, so we're hit by: Search is hard. We want our search solution to be fast, we want to have a 0 configuration and a completely free search pattern, we want to be able to simply use JSON via HTTP indexed data, we want our search server always available, we want to be able to start and expand to hundreds of, we want to search in real time, We want simple multi-tenant and we want to build a cloud solution.

Elasticsearch Introduction Elasticsearch is a full-text search server that can also be used as a NoSQL database to store documents and data in any format, while at the same time doing big data analysis. Elasticsearch has the following characteristics: 1. Full-text search engine, ES is a resume on the lucebe of the Kaiyuan Soso engine, can be used for full-text se

Fluentd is an open source collection event and log system that currently offers 150 + extensions that let you store big data for log searches, data analysis and storage. Official address http://fluentd.org/plugin address http://fluentd.org/plugin/ Kibana is a Web UI tool that provides log analysis for ElasticSearch, and it can be used to efficiently search, visualize, analyze, and perform various operations on logs. Official Address http://www.elastic

Kibana + Logstash + Elasticsearch Log Query System, kibanalogash. Kibana + Logstash + Elasticsearch log query system. kibanalostash builds the platform to facilitate log query during O M and R D. Kibana is a free web shell; Kibana + Logstash + Elasticsearch Log Query System, kibanalogash The purpose of this platform is to facilitate log query during O M and R

Elasticsearch is a new member of the open source search platform, the real-time data analysis artifact, developed rapidly, based on Lucene, RESTful, distributed, cloud-oriented design, real-time search, full-text search, stability, high reliability, extensible, installation + easy to use, introduction are said to be very pleasant, Good to take out for a walk.Did a simple test, in two identical virtual machines, 20 million or so data,

0x01 Memory Tuning There are several ways to adjust ES memory allocations, and it is recommended that you adjust the settings in/etc/sysconfig/elasticsearch (you can also modify the startup script under bin directly). # Directory where the elasticsearch binary distribution resides Es_home=/usr/share/elasticsearch # Heap Size (defaults to 256m min, 1g max) # Modi

First, preface The previous article is like not many people to see, but still want to continue, I guess it may be a lot of people contact this piece is less, elasticsearch this piece has a lot to say, start it. Second, the database, Elasticsearch choice Traditional data because of the use of B + Tree index, when the amount of data is very large, such as a single table 1 Y or more when we want to do like o

Search engine Selection Research Document ELASTICSEARCH Introduction *Elasticsearch is a real-time, distributed search and analysis engine. It can help you deal with large-scale data at an unprecedented rate.It can be used for full-text search, structured search and analysis, and of course you can combine the three.Elasticsearch is a search engine based on the full-text search engine Apache lucene™, which c

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