ElasticSearch 2 (1) - Getting Start
ElasticSearch 2.1.1 (1) - Getting Start
Install & Up
cd elasticsearch-2.1.1/bin
./elasticsearch
./elasticsearch --cluster.name my_cluster_name --node.name my_node_name
Cluster Health
curl 'localhost:9200/_cat/health?v'
curl 'localhost:9200/_cat/nodes?v'
List All Indices
curl 'localhost:9200/_cat/indices?v'
Create an Index
curl -XPUT 'localhost:9200/customer?pretty'
{
"acknowledged" : true
}
curl 'localhost:9200/_cat/indices?v'
health | index | pri | rep | docs.count | docs.deleted | store.size | pri.store.size
yellow | customer | 5 | 1 | 0 |0 | 495b | 495b
Index and Query
Index:
curl -XPUT 'localhost:9200/customer/external/1?pretty' -d '
{
"name": "John Doe”
}'
Response:
{
"_index" : "customer”,
"_type" : "external”,
"_id" : "1”,
"_version" : 1,
"created" : true
}
Query:
curl -XGET 'localhost:9200/customer/external/1?pretty'
{
"_index" : "customer",
"_type" : "external",
"_id" : "1",
"_version" : 1,
"found" : true,
"_source" :
{
"name": "John Doe"
}
}
Delete an Index
curl -XDELETE 'localhost:9200/customer?pretty'
{
"acknowledged" : true
}
curl 'localhost:9200/_cat/indices?v'
health | index | pri | rep | docs.count | docs.deleted | store.size | pri.store.size
curl -X :///
Updating Document
curl -XPOST 'localhost:9200/customer/external/1/_update?pretty' -d
' { "doc": { "name": "Jane Doe" } }'
curl -XPOST 'localhost:9200/customer/external/1/_update?pretty' -d
' { "doc": { "name": "Jane Doe", "age": 20 } }'
Script:
curl -XPOST 'localhost:9200/customer/external/1/_update?pretty' -d
' { "script" : "ctx._source.age += 5" }'
Error:
{
"error" : {
"root_cause" : [ {
"type" : "remote_transport_exception",
"reason" : "[Angelica Jones][127.0.0.1:9300][indices:data/write/update[s]]"
} ],
"type" : "illegal_argument_exception",
"reason" : "failed to execute script",
"caused_by" : {
"type" : "script_exception",
"reason" : "scripts of type [inline], operation [update] and lang [groovy] are disabled"
}
},
"status" : 400
}
Solution:elasticsearch.yml
script.inline: on
script.indexed: on
Deleting Documents
curl -XDELETE 'localhost:9200/customer/external/2?pretty’
The delete-by-query plugin can delete all documents matching a specific query.
Batch Processing
curl -XPOST 'localhost:9200/customer/external/_bulk?pretty' -d
'{"index":{"_id":"1”}}
{"name": "John Doe” }
{"index":{"_id":"2”}}
{"name": "Jane Doe" } ‘
Delete:
curl -XPOST 'localhost:9200/customer/external/_bulk?pretty' -d
' {"update":{"_id":"1”}}
{
"doc": { "name": "John Doe becomes Jane Doe" }
}
{"delete":{"_id":"2"}} ‘
The Search API
curl 'localhost:9200/bank/_search?q=*&pretty’
took –
time in milliseconds for Elasticsearch to execute the search
timed_out –
tells us if the search timed out or not
_shards –
tells us how many shards were searched, as well as a count of the successful/failed searched shards
hits –
search results
hits.total –
total number of documents matching our search criteria
hits.hits –
actual array of search results (defaults to first 10 documents)
_score and max_score -
ignore these fields for now
XPOST:
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "match_all": {} } }'
NO CURSOR DON’T LIKE SQL
Introducing the Query Language
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "match_all": {} }, "size": 1 }'
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "match_all": {} }, "from": 10, "size": 10 }'
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "match_all": {} }, "sort": { "balance": { "order": "desc" } } }’
Executing Searches
Basic Query
Fields:
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "match_all": {} }, "_source": ["account_number", "balance"] }'
Returns the account numbered 20:
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "match": { "account_number": 20 } } }'
Containing the term "mill" in the address:
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "match": { "address": "mill" } } }'
Containing the term "mill" or "lane" in the address:
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "match": { "address": "mill lane" } } }'
Containing the phrase "mill lane" in the address:
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "match_phrase": { "address": "mill lane" } } }'
Boolean Query
AND
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "bool": { "must": [ { "match": { "address": "mill" } }, { "match": { "address": "lane" } } ] } } }'
OR
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "bool": { "should": [ { "match": { "address": "mill" } }, { "match": { "address": "lane" } } ] } } }'
NOR
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "bool": { "must_not": [ { "match": { "address": "mill" } }, { "match": { "address": "lane" } } ] } } }'
Anybody who is 40 years old but don’t live in ID(aho):
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "bool": { "must": [ { "match": { "age": "40" } } ], "must_not": [ { "match": { "state": "ID" } } ] } } }'
Range Query:
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "query": { "bool": { "must": { "match_all": {} }, "filter": { "range": { "balance": { "gte": 20000, "lte": 30000 } } } } } }'
Executing Aggregations
Groups all the accounts by state, and then returns the top 10 (default) states sorted by count descending (also default):
curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
{
"size": 0,
"aggs": {
"group_by_state": {
"terms": {
"field": "state"
}
}
}
}'
SELECT state, COUNT(*) FROM bank GROUP BY state ORDER BY COUNT(*) DESC
Calculates the average account balance by state:
curl -XPOST 'localhost:9200/bank/_search?pretty' -d ' { "size": 0, "aggs": { "group_by_state": { "terms": { "field": "state" }, "aggs": { "average_balance": { "avg": { "field": "balance" } } } } } }'
You can nest aggregations inside aggregations arbitrarily to extract pivoted summarizations that you require from your data.
Sort on the average balance in descending order:
curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
{
"size": 0,
"aggs": {
"group_by_state": {
"terms": {
"field": "state",
"order": {
"average_balance": "desc"
}
},
"aggs": {
"average_balance": {
"avg": {
"field": "balance"
}
}
}
}
}
}'
Group by age brackets (ages 20-29, 30-39, and 40-49), then by gender, and then finally get the average account balance, per age bracket, per gender:
curl -XPOST 'localhost:9200/bank/_search?pretty' -d '
{
"size": 0,
"aggs": {
"group_by_age": {
"range": {
"field": "age",
"ranges": [
{
"from": 20,
"to": 30
},
{
"from": 30,
"to": 40
},
{
"from": 40,
"to": 50
}
]
},
"aggs": {
"group_by_gender": {
"terms": {
"field": "gender"
},
"aggs": {
"average_balance": {
"avg": {
"field": "balance"
}
}
}
}
}
}
}
}'
Reference
https://www.elastic.co/guide/en/elasticsearch/reference/current/getting-started.html
ElasticSearch 2 (1) - Getting Start的更多相关文章
- Elasticsearch之java的基本操作一
摘要 接触ElasticSearch已经有一段了.在这期间,遇到很多问题,但在最后自己的不断探索下解决了这些问题.看到网上或多或少的都有一些介绍ElasticSearch相关知识的文档,但个人觉得 ...
- Elasticsearch 5.0 中term 查询和match 查询的认识
Elasticsearch 5.0 关于term query和match query的认识 一.基本情况 前言:term query和match query牵扯的东西比较多,例如分词器.mapping ...
- 以bank account 数据为例,认识elasticsearch query 和 filter
Elasticsearch 查询语言(Query DSL)认识(一) 一.基本认识 查询子句的行为取决于 query context filter context 也就是执行的是查询(query)还是 ...
- Ubuntu 14.04中Elasticsearch集群配置
Ubuntu 14.04中Elasticsearch集群配置 前言:本文可用于elasticsearch集群搭建参考.细分为elasticsearch.yml配置和系统配置 达到的目的:各台机器配置成 ...
- ElasticSearch 5学习(10)——结构化查询(包括新特性)
之前我们所有的查询都属于命令行查询,但是不利于复杂的查询,而且一般在项目开发中不使用命令行查询方式,只有在调试测试时使用简单命令行查询,但是,如果想要善用搜索,我们必须使用请求体查询(request ...
- ElasticSearch 5学习(9)——映射和分析(string类型废弃)
在ElasticSearch中,存入文档的内容类似于传统数据每个字段一样,都会有一个指定的属性,为了能够把日期字段处理成日期,把数字字段处理成数字,把字符串字段处理成字符串值,Elasticsearc ...
- .net Elasticsearch 学习入门笔记
一. es安装相关1.elasticsearch安装 运行http://localhost:9200/2.head插件3.bigdesk插件安装(安装细节百度:windows elasticsear ...
- 自己写的数据交换工具——从Oracle到Elasticsearch
先说说需求的背景,由于业务数据都在Oracle数据库中,想要对它进行数据的分析会非常非常慢,用传统的数据仓库-->数据集市这种方式,集市层表会非常大,查询的时候如果再做一些group的操作,一个 ...
- 如何在Elasticsearch中安装中文分词器(IK+pinyin)
如果直接使用Elasticsearch的朋友在处理中文内容的搜索时,肯定会遇到很尴尬的问题--中文词语被分成了一个一个的汉字,当用Kibana作图的时候,按照term来分组,结果一个汉字被分成了一组. ...
- jar hell & elasticsearch ik 版本问题
想给es 安装一个ik 的插件, 我的es 是 2.4.0, 下载了一个版本是 1.9.5, [2016-10-09 16:56:26,248][INFO ][node ] [node-2] init ...
随机推荐
- Modelsim使用流程---基于TCL命令的仿真
Modelsim使用流程---基于TCL命令的仿真 本文使用的Modelsim版本为Modelsim SE-64 10.1.c 1.File -> new -> Project 2.添加或 ...
- PByte和PChar的关系
作为指针是相同的, 解析的内容,稍微有点区别. var s:String;P:PChar;B:PByte;a:Integer;begin s:='1234'; P:=PChar(s);//按chr ...
- Django--django.core.exceptions.ImproperlyConfigured: Requested setting DEFAULT_INDEX_TABLESPACE
Django序列化时遇到错误: django.core.exceptions.ImproperlyConfigured: Requested setting DEFAULT_INDEX_TABLESP ...
- DS树+图综合练习--构建邻接表
题目描述 已知一有向图,构建该图对应的邻接表.邻接表包含数组和单链表两种数据结构,其中每个数组元素也是单链表的头结点,数组元素包含两个属性,属性一是顶点编号info,属性二是指针域next指向与它相连 ...
- spring AOP的学习
1.Spring常用的概念 Joinpoint(连接点): 所谓连接点是指那些被拦截到的点.在spring中,这些点指的是方法,因为spring只支持方法类型的连接点. Pointcut(切入点): ...
- [蓝桥杯]ALGO-79.算法训练_删除数组零元素
从键盘读入n个整数放入数组中,编写函数CompactIntegers,删除数组中所有值为0的元素,其后元素向数组首端移动.注意,CompactIntegers函数需要接受数组及其元素个数作为参数,函数 ...
- 【Https】Spring RestTemplete支持Https安全请求
实现步骤 Step1: 自定义ClientHttpRequestFactory package com.example.demo.https; import org.springframework.h ...
- 高CPU排查方法分享
1 软件性能较差,占用CPU较多,往往是由于某段代码逻辑算法不佳导致,那如何在数以千计的函数中找到问题函数呢?2 在使用!runaway命令比较不同时间各线程占用CPU时间,找到CPU时间增涨较多的线 ...
- C#应用jstree实现无限级节点的方法
下载jstree.js下载地址: http://jstree.com/ 当前下载版本: jsTree 3.3.1 第一步:下载完成后引用js+css <link href="~/plu ...
- php 安装 phpredis 扩展
1. git clone https://github.com/nicolasff/phpredis2. 首先git clone 项目到本地,切换到phpredis目录下 phpize ./confi ...