curl命令数据

curl -XPUT http://127.0.0.1:9200/us/user/1 -d "{\"email\":\"john@smith.com\",\"name\":\"John Smith\",\"username\":\"@john\"}"

curl -XPUT http://127.0.0.1:9200/gb/user/2 -d "{\"email\" : \"mary@jones.com\",\"name\" : \"Mary Jones\",\"username\" : \"@mary\"}"

curl -XPUT http://127.0.0.1:9200/gb/tweet/3 -d "{\"date\" : \"2014-09-13\",\"name\" : \"Mary Jones\",\"tweet\" : \"Elasticsearch means full text search has never been so easy\",\"user_id\" : 2}"

curl -XPUT http://127.0.0.1:9200/us/tweet/4 -d "{\"date\" : \"2014-09-14\",\"name\" : \"John Smith\",\"tweet\" : \"@mary it is not just text, it does everything\",\"user_id\" : 1}"

curl -XPUT http://127.0.0.1:9200/gb/tweet/5 -d "{\"date\" : \"2014-09-15\",\"name\" : \"Mary Jones\",\"tweet\" : \"However did I manage before Elasticsearch?\",\"user_id\" : 2}"

curl -XPUT http://127.0.0.1:9200/us/tweet/6 -d "{\"date\" : \"2014-09-16\",\"name\" : \"John Smith\",\"tweet\" : \"The Elasticsearch API is really easy to use\",\"user_id\" : 1}"

curl -XPUT http://127.0.0.1:9200/gb/tweet/7 -d "{\"date\" : \"2014-09-17\", \"name\" : \"Mary Jones\",\"tweet\" : \"The Query DSL is really powerful and flexible\",\"user_id\" : 2}"

curl -XPUT http://127.0.0.1:9200/us/tweet/8 -d "{\"date\" : \"2014-09-18\",\"name\" : \"John Smith\",\"user_id\" : 1}"

curl -XPUT http://127.0.0.1:9200/gb/tweet/9 -d "{\"date\" : \"2014-09-19\",\"name\" : \"Mary Jones\",\"tweet\" : \"Geo-location aggregations are really cool\",\"user_id\" : 2}"

curl -XPUT http://127.0.0.1:9200/us/tweet/10 -d "{\"date\" : \"2014-09-20\",\"name\" : \"John Smith\",\"tweet\" : \"Elasticsearch surely is one of the hottest new NoSQL products\",\"user_id\" : 1}"

curl -XPUT http://127.0.0.1:9200/gb/tweet/11 -d "{\"date\" : \"2014-09-21\",\"name\" : \"Mary Jones\",\"tweet\" : \"Elasticsearch is built for the cloud, easy to scale\",\"user_id\" : 2}"

curl -XPUT http://127.0.0.1:9200/us/tweet/12 -d "{\"date\" : \"2014-09-22\",\"name\" : \"John Smith\",\"tweet\" : \"Elasticsearch and I have left the honeymoon stage, and I still love her.\",\"user_id\" : 1}"

curl -XPUT http://127.0.0.1:9200/gb/tweet/13 -d "{\"date\" : \"2014-09-23\",\"name\" : \"Mary Jones\",\"tweet\" : \"So yes, I am an Elasticsearch fanboy\",\"user_id\" : 2}"

curl -XPUT http://127.0.0.1:9200/us/tweet/14 -d "{\"date\" : \"2014-09-24\",\"name\" : \"John Smith\",\"tweet\" : \"How many more cheesy tweets do I have to write?\",\"user_id\" : 1}"

批量操作数据

POST /_bulk
{ "create": { "_index": "us", "_type": "user", "_id": "" }}
{ "email" : "john@smith.com", "name" : "John Smith", "username" : "@john" }
{ "create": { "_index": "gb", "_type": "user", "_id": "" }}
{ "email" : "mary@jones.com", "name" : "Mary Jones", "username" : "@mary" }
{ "create": { "_index": "gb", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-13", "name" : "Mary Jones", "tweet" : "Elasticsearch means full text search has never been so easy", "user_id" : }
{ "create": { "_index": "us", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-14", "name" : "John Smith", "tweet" : "@mary it is not just text, it does everything", "user_id" : }
{ "create": { "_index": "gb", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-15", "name" : "Mary Jones", "tweet" : "However did I manage before Elasticsearch?", "user_id" : }
{ "create": { "_index": "us", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-16", "name" : "John Smith", "tweet" : "The Elasticsearch API is really easy to use", "user_id" : }
{ "create": { "_index": "gb", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-17", "name" : "Mary Jones", "tweet" : "The Query DSL is really powerful and flexible", "user_id" : }
{ "create": { "_index": "us", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-18", "name" : "John Smith", "user_id" : }
{ "create": { "_index": "gb", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-19", "name" : "Mary Jones", "tweet" : "Geo-location aggregations are really cool", "user_id" : }
{ "create": { "_index": "us", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-20", "name" : "John Smith", "tweet" : "Elasticsearch surely is one of the hottest new NoSQL products", "user_id" : }
{ "create": { "_index": "gb", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-21", "name" : "Mary Jones", "tweet" : "Elasticsearch is built for the cloud, easy to scale", "user_id" : }
{ "create": { "_index": "us", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-22", "name" : "John Smith", "tweet" : "Elasticsearch and I have left the honeymoon stage, and I still love her.", "user_id" : }
{ "create": { "_index": "gb", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-23", "name" : "Mary Jones", "tweet" : "So yes, I am an Elasticsearch fanboy", "user_id" : }
{ "create": { "_index": "us", "_type": "tweet", "_id": "" }}
{ "date" : "2014-09-24", "name" : "John Smith", "tweet" : "How many more cheesy tweets do I have to write?", "user_id" : }

ElasticSearch测试数据的更多相关文章

  1. Elasticsearch.Net使用(一)【入门篇】

    http://blog.csdn.net/wulex/article/details/52138564 加数据 //在调用下面的index方法的时候,如果没有指定使用哪个index,ElasticSe ...

  2. Elasticsearch第五篇:PlainElastic.Net 操作 Elasticsearch

    再次强调,我安装的Elasticsearch 版本是 7.8.0 ,C# 操作 Elasticsearch 的驱动有 NEST.Elasticsearch.net .PlainElastic.Net ...

  3. php提供一维数组模糊查询

    2019年9月30日14:36:15 提供一维数组模糊查询,只支持utf-8 内部处理是Unicode 编码特殊编码格式的可能会出错 if (!function_exists('arrayFuzzyQ ...

  4. 如何保存JMeter的性能测试数据到ElasticSearch上,并且使用Kibana进行可视化分析(1)

    前言 Jmeter是一款性能测试,压力测试的开源工具,被大量的测试人员拿来测试产品的性能,负载等等. Jmeter除了强大的预置的各种插件,各种可视化图表工具以外,也有些固有的缺陷,例如: 我们往往只 ...

  5. ElasticSearch第四步-查询详解

    ElasticSearch系列学习 ElasticSearch第一步-环境配置 ElasticSearch第二步-CRUD之Sense ElasticSearch第三步-中文分词 ElasticSea ...

  6. Elasticsearch 教程--搜索

    搜索 – 基本工具 到目前为止,我们已经学习了Elasticsearch的分布式NOSQL文档存储,我们可以直接把JSON文档扔到Elasticsearch中,然后直接通过ID来进行调取.但是Elas ...

  7. ElasticSearch大数据分布式弹性搜索引擎使用

    阅读目录: 背景 安装 查找.下载rpm包 .执行rpm包安装 配置elasticsearch专属账户和组 设置elasticsearch文件所有者 切换到elasticsearch专属账户测试能否成 ...

  8. elasticsearch之python备份

    一:elasticsearch原理 Elasticsearch是一个基于Apache Lucene(TM)的开源搜索引擎.无论在开源还是专有领域,Lucene可以被认为是迄今为止最先进.性能最好的.功 ...

  9. 为Elasticsearch添加中文分词,对比分词器效果

    http://keenwon.com/1404.html Elasticsearch中,内置了很多分词器(analyzers),例如standard (标准分词器).english(英文分词)和chi ...

随机推荐

  1. 股神小L [贪心]

    题面 思路 股票题肯定是贪心或者$dp$啊 这个题比较$naive$,可以看出来你这里买股票的过程一定是能不买就不买,能卖就拣最贵的日子卖,而且时间不能倒流(废话= =||) 所以我们按照时间从前往后 ...

  2. phantomjs和selenium模拟登陆qq空间

    # -*- coding: utf-8 -*- from selenium import webdriver import time driver =webdriver.PhantomJS() dri ...

  3. 移动端web开发 浅析

    1. viewport ① viewport在移动端承载网页的区域:具有默认格式 ②设置viewport属性,适配移动端设备 主流设置: <meta name = ”viewport” cont ...

  4. 转:Mysql explain

    转自:http://blog.csdn.net/zhuxineli/article/details/14455029(单纯学习而转) explain显示了MySQL如何使用索引来处理select语句以 ...

  5. [ CodeVS冲杯之路 ] P3116

    不充钱,你怎么AC? 题目:http://codevs.cn/problem/3116/ 基础的高精度加法,注意一下两个数长短不一和答案第一位的处理即可,当然也可以用压位的方法做 #include&l ...

  6. linux 安装 pip

    # wget https://bootstrap.pypa.io/get-pip.py # python get-pip.py

  7. 错误:'nasm' 不是内部或外部命令,也不是可运行的程序

    原文转自 http://blog.csdn.net/alexcrazy/article/details/7183312 >正在执行自定义生成步骤 >'nasm' 不是内部或外部命令,也不是 ...

  8. 报告撰写,linux使用gimp简单做gif动图

    我想把我的系统菜单完整记录下来,方便查看,如果单纯使用文字比较单调,使用屏幕截图,需要依次打开多个图像查看也不是很方便,就想到了使用动画的形式展示.由于本人的系统一直使用Linux系统,为了一张gif ...

  9. v4l2 spec 中文 Ch01【转】

    转自:http://blog.csdn.net/wuhzossibility/article/details/6638245 目录(?)[-] Chapter 1 通用APICommon API El ...

  10. (十一)Ubuntu下面怎么找到一个软件安装的目录,卸载软件

    aptitude show packagename 实例: aptitude show sublime-text-installer 可以看到这个软件一系列信息 dpkg命令 dpkg -l //列车 ...