logstash 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'

1. Get all number of record stripsGET _count{"Query": {"Match_all": {}}}GET Logstash-2016-07-14/gatewaylog/_search{"Query": {"Match": {"request_id": "3a321b1e-4627-487f-83b1-93694034a6ba"}}}Get/taobaoskumapping/_search{"Query": {"Match": {"ProductTitle": "Hangzhou Wrigley bathroom anti-odor all-in-a-box toilet water saving slow drop silent big momentum self-cleaning glaze flush toilet"}}}DELETE taobaoskumappingGet/taobaoskumapping/_searchGet/taobaosku

bulk submits a lot of commands at a time, it will send the data to a node, and then the node will parse the metadata (index, type, or ID ), distribute the parts to other nodes for operations. Since many commands return results in a uniform manner after execution, the data volume may be large. In this case, if Chunk encoding is used for multipart transmission, it may cause a certain delay. Therefore, the condition is buffered on the client. Although bulk provides a batch processing method, it ca

We have started elasticsearch in the previous article, and then we can communicate with elasticsearch, such as inserting data, retrieving data, deleting data, and so on. Elasticsearch provides two ways to communicate with Java APIs and restful APIs. Java API If you are using the Java,elasticsearch built-in two client,

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.

Configure the elasticsearch and river-mongodb plug-ins on windowsInstall ElasticSearch 1. Download The elasticsearch installation package. 2. decompress the elasticsearch package to the installation directory. For example, D: \ Elasticsearch, and add D: \

What is a document. Most entities or objects in a program can be serialized to a JSON object that contains a key-value pair, the key is the name of the field or property, and the value can be a string, a number, a Boolean type, another object, an array of values, or other special types. For example, a string representing a date or an object that represents a geographic location. 1 { "name": "John Smith", "age": " confirmed": true, "join_date": " 2014-06-01" , "