Elasticsearch 总结
概述
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、功能最全的搜索引擎库。
特点
Elasticsearch不仅仅是Lucene和全文搜索，我们还能这样去描述它：
1、分布式的实时文件存储，每个字段都被索引并可被搜索
2、分布式的实时分析搜索引擎
3、可以扩展到上百台服务器，处理PB级结构化或非结构化数据
Elasticsearch 安装
elasticsearch这是出于系统安全考虑设置的条件。由于ElasticSearch可以接收用户输入的脚本并且执行，为了系统安全考虑。
1-1）、安装
Elasticsearch 和elasticsearch-head-master下载：链接：http://pan.baidu.com/s/1czRe6y 密码：5q34 如果无法下载请联系作者。
[root@hadoop1elasticsearch]#wget https://download.elastic.co/elasticsearch/release/org/elasticsearch/distribution/tar/elasticsearch/2.3.5/elasticsearch-2.3.5.tar.gz
[root@hadoop1 elasticsearch]# chmod a+x elasticsearch-2.1.1.tar.gz
[root@hadoop1 elasticsearch]# tar -zxvf elasticsearch-2.1.1.tar.gz
1-2）、创建用户与组
[root@hadoop1 bin]# groupadd elsearch
[root@hadoop1 bin]# useradd es -g elsearch -p elasticsearch
[root@hadoop1 bin]# cd ../../
[root@hadoop1 elasticsearch]# chown -R es:elsearch elasticsearch-2.1.1
[root@hadoop1 elasticsearch]# mkdir -p /path/to/data
[root@hadoop1 elasticsearch]# mkdir -p /path/to/logs
[root@hadoop1 opt]# cd /
[root@hadoop1 /]# chown -R es:elsearch /path
1-3）、切换用户
[root@hadoop1 elasticsearch]# su es
[elsearch@hadoop1 elasticsearch-2.1.1]$ cd elasticsearch-2.1.1/
[elsearch@hadoop1 elasticsearch-2.1.1]$ cd bin/
1-4）、查看进程
[root@localhost nginx]# jps
53668 -- process information unavailable
53752 Jps
1-5）、安装Elasticsearch的插件
A）、Elasticsearch-head安装
[elsearch@hadoop1 bin]$ ./plugin install mobz/elasticsearch-head
-> Installing mobz/elasticsearch-head...
Trying https://github.com/mobz/elasticsearch-head/archive/master.zip ...
Downloading .........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................DONE
Verifying https://github.com/mobz/elasticsearch-head/archive/master.zip checksums if available ...
NOTE: Unable to verify checksum for downloaded plugin (unable to find .sha1 or .md5 file to verify)
Installed head into /home/elasticsearch/elasticsearch-2.1.1/plugins/head
或者在elasticsearch的目录下创建以下目录，把https://github.com/mobz/elasticsearch-head/archive/master.zip下载后的压缩包解压到_site目录下即可，操作如下:
[root@hadoop1 elasticsearch-2.3.1]# mkdir -p plugins/head/
[root@hadoop1 elasticsearch-2.3.1]# unzip elasticsearch-head-master.zip -C /opt/elasticsearch-2.3.1/plugins/head/
[root@hadoop1 head]# cd elasticsearch-head-master
[root@hadoop1 elasticsearch-head-master]# mv * ../
[root@hadoop1 elasticsearch-head-master]# cd ../
[root@hadoop1 head]# rm -rf elasticsearch-head-master
[root@hadoop1 head]# chmod -R es:elsearch *
B）、license 安装
[root@hadoop1 bin]# ./plugin install license
-> Installing license...
Trying https://download.elastic.co/elasticsearch/release/org/elasticsearch/plugin/license/2.3.1/license-2.3.1.zip ...
Downloading .......DONE
Verifying https://download.elastic.co/elasticsearch/release/org/elasticsearch/plugin/license/2.3.1/license-2.3.1.zip checksums if available ...
Downloading .DONE
Installed license into /usr/local/elasticsearch-2.3.1/plugins/license
C）、
1-6）、配置集群
[root@hadoop1 config]# vi elasticsearch.yml
4.修改配置
vi /bigdata/elasticsearch-2.3.1/config/elasticsearch.yml
#集群名称，通过组播的方式通信，通过名称判断属于哪个集群
cluster.name: bigdata
#节点名称，要唯一
node.name: es-1
#数据存放位置
path.data: /data/to/data
#日志存放位置
path.logs: /data/to/logs
#es绑定的ip地址
network.host: 172.16.0.14
# 端口
http.port: 9200
#初始化时可进行选举的节点
discovery.zen.ping.unicast.hosts: ["hadoop1", "hadoop2", "hadoop3"]
1-7）、传送到其他的机器上
[root@hadoop1 elasticsearch]# scp elasticsearch-2.1.1 hadoop2:$PWD
[root@hadoop1 elasticsearch]# scp elasticsearch-2.1.1 hadoop3:$PWD
1-8）、修改配置文件
[root@hadoop3 elasticsearch-2.3.1]# cd config/
[root@hadoop3 config]# vi elasticsearch.yml
# ======================== Elasticsearch Configuration =========================
#
# NOTE: Elasticsearch comes with reasonable defaults for most settings.
# Before you set out to tweak and tune the configuration, make sure you
# understand what are you trying to accomplish and the consequences.
#
# The primary way of configuring a node is via this file. This template lists
# the most important settings you may want to configure for a production cluster.
#
# Please see the documentation for further information on configuration options:
# <http://www.elastic.co/guide/en/elasticsearch/reference/current/setup-configuration.html>
#
# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
cluster.name: my-application
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
node.name: node-1
#
# Add custom attributes to the node:
#
# node.rack: r1
#
# ----------------------------------- Paths ------------------------------------
#
# Path to directory where to store the data (separate multiple locations by comma):
#
path.data: /path/to/data
#
# Path to log files:
#
path.logs: /path/to/logs
#
# ----------------------------------- Memory -----------------------------------
#
# Lock the memory on startup:
#
# bootstrap.mlockall: true
#
# Make sure that the `ES_HEAP_SIZE` environment variable is set to about half the memory
# available on the system and that the owner of the process is allowed to use this limit.
#
# Elasticsearch performs poorly when the system is swapping the memory.
#
# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
network.host: 192.168.215.134
#
# Set a custom port for HTTP:
#
http.port: 9200
#
# For more information, see the documentation at:
# <http://www.elastic.co/guide/en/elasticsearch/reference/current/modules-network.html>
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when new node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
discovery.zen.ping.unicast.hosts: ["hadoop1", "hadoop2", "hadoop3"]
#
# Prevent the "split brain" by configuring the majority of nodes (total number of nodes / 2 + 1):
#
# discovery.zen.minimum_master_nodes: 3
#
# For more information, see the documentation at:
# <http://www.elastic.co/guide/en/elasticsearch/reference/current/modules-discovery.html>
#
# ---------------------------------- Gateway -----------------------------------
#
# Block initial recovery after a full cluster restart until N nodes are started:
#
# gateway.recover_after_nodes: 3
#
# For more information, see the documentation at:
# <http://www.elastic.co/guide/en/elasticsearch/reference/current/modules-gateway.html>
#
# ---------------------------------- Various -----------------------------------
#
# Disable starting multiple nodes on a single system:
#
# node.max_local_storage_nodes: 1
#
# Require explicit names when deleting indices:
#
# action.destructive_requires_name: true
1-9）、运行Elasticsearch
A）、前台运行
[elsearch@hadoop1 bin]$ ./elasticsearch
[2016-08-27 14:18:15,854][INFO ][node ] [Trader] version[2.1.1], pid[7894], build[40e2c53/2015-12-15T13:05:55Z]
[2016-08-27 14:18:15,855][INFO ][node ] [Trader] initializing ...
[2016-08-27 14:18:16,743][INFO ][plugins ] [Trader] loaded [], sites []
[2016-08-27 14:18:16,993][INFO ][env ] [Trader] using [1] data paths, mounts [[/ (rootfs)]], net usable_space [11gb], net total_space [17.6gb], spins? [unknown], types [rootfs]
[2016-08-27 14:18:22,613][INFO ][node ] [Trader] initialized
[2016-08-27 14:18:22,613][INFO ][node ] [Trader] starting ...
[2016-08-27 14:18:22,856][INFO ][transport ] [Trader] publish_address {127.0.0.1:9300}, bound_addresses {127.0.0.1:9300}, {[::1]:9300}
[2016-08-27 14:18:22,874][INFO ][discovery ] [Trader] elasticsearch/HW-4e50uSkeSFEeNgEkMJQ
[2016-08-27 14:18:26,020][INFO ][cluster.service ] [Trader] new_master {Trader}{HW-4e50uSkeSFEeNgEkMJQ}{127.0.0.1}{127.0.0.1:9300}, reason: zen-disco-join(elected_as_master, [0] joins received)
[2016-08-27 14:18:26,242][INFO ][http ] [Trader] publish_address {127.0.0.1:9200}, bound_addresses {127.0.0.1:9200}, {[::1]:9200}
[2016-08-27 14:18:26,242][INFO ][node ] [Trader] started
[2016-08-27 14:18:26,257][INFO ][gateway ] [Trader] recovered [0] indices into cluster_state
^C[2016-08-27 14:21:54,274][INFO ][node ] [Trader] stopping ...
[2016-08-27 14:21:54,361][INFO ][node ] [Trader] stopped
[2016-08-27 14:21:54,362][INFO ][node ] [Trader] closing ...
[2016-08-27 14:21:54,371][INFO ][node ] [Trader] closed
[elsearch@hadoop1 bin]$ ./elasticsearch -d
bash-4.1$ jps
21177 Elasticsearch
21234 Jps
[es@hadoop2 bin]$ jps
14643 Jps
14606 Elasticsearch
[es@hadoop3 bin]$ jps
12896 Jps
12875 Elasticsearch
http://hadoop1:9200/_plugin/head/
从中可以看出node-2是主节点，其他的副节点，其中0,1,2,3,4是leader其他的都是flowller是同步数据的。
1-10）、停止ES
若是要停止ES服务，则输入sh elasticsearch stop，则输出如下图，则ES成功停止。
kill `ps -ef | grep Elasticsearch | grep -v grep | awk '{print $2}'`
1-11）、查看Zookeeper保存的信息
1-12）、一键启动脚本
请用es用户执行以下脚本，注意脚本的权限
[es@hadoop1 start-single]$ ls -l
-rwxr-xr-x. 1 es elsearch 166 Apr 23 11:14 start-elasticsearch.sh
执行脚本
[es@hadoop1 start-single]$ sh start-elasticsearch.sh
cat /opt/start-script/slave |while read line
do
{
echo "$line"
ssh $line "source /etc/profile;su es;cd /opt/elasticsearch-2.3.1/bin;sh elasticsearch -d"
}&
wait
Done
Curl 常用操作
1-1）、检测集群是否健康
[es@hadoop1 root]$ curl 'hadoop1:9200/_cat/health?v'
epoch timestamp cluster status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent
1493390489 22:41:29 my-application green 3 3 12 6 0 0 0 0 - 100.0%
1-2）、查看集群列表
[es@hadoop1 root]$ curl 'hadoop1:9200/_cat/nodes?v'
host ip heap.percent ram.percent load node.role master name
192.168.132.148 192.168.132.148 5 40 0.00 d m node-
192.168.132.139 192.168.132.139 2 38 0.00 d m node-3
192.168.132.140 192.168.132.140 5 35 0.00 d * node-1
1-3）、查看所有的索引
[es@hadoop1 root]$ curl 'hadoop1:9200/_cat/indices?v'
health status index pri rep docs.count docs.deleted store.size pri.store.size
green open .kibana 1 1 1 0 6.3kb 3.1kb
green open customer 5 1 45 0 117.7kb 58.8kb
1-4）、创建索引
[es@hadoop1 root]$ curl -XPUT 'hadoop1:9200/customer?pretty'
会看到以下信息
{
"acknowledged" : true
}
1-5）、插入数据
[es@hadoop1 root]$ curl -XPUT 'hadoop1:9200/customer/external/1?pretty' -d '{"name":"xiaozhang","age":"18"}'
回车可以看到以下信息
{
"_index" : "customer",
"_type" : "external",
"_id" : "1",
"_version" : 1,
"_shards" : {
"total" : 2,
"successful" : 2,
"failed" : 0
},
"created" : true
}
1-6）、获取数据
[es@hadoop1 root]$ curl -XGET 'hadoop1:9200/customer/external/1?pretty'
回车即可看到以下信息
{
"_index" : "customer",
"_type" : "external",
"_id" : "1",
"_version" : 1,
"found" : true,
"_source" : {
"name" : "xiaozhang",
"age" : "18"
}
}
1-7）、删除索引
[es@hadoop1 root]$ curl -XDELETE 'hadoop1:9200/customer?pretty'
{
"acknowledged" : true
}
1-8）、修改数据
先查看id为3的数据
[es@hadoop1 root]$ curl -XPUT 'hadoop1:9200/customer/external/3?pretty' -d '{"name":"xiaoxu","age":"23"}'
1-9）、更新数据
查看修改ID为1的数据
[es@hadoop1 root]$ curl -XPOST 'hadoop1:9200/customer/external/1/_update?pretty' -d '{"doc":{"name":"Jane Han"}}'
1-10）、删除数据
删除ID为1的数据
[es@hadoop1 root]$ curl -XDELETE 'hadoop1:9200/customer/external/1?pretty'
1-11）、批处理数据
JSON文件下载地址：链接：http://pan.baidu.com/s/1bLZqn8 密码：m6he
[es@hadoop1 testData]$ curl -XPOST 'hadoop1:9200/bank/account/_bulk?pretty' --data-binary "@/opt/testData/accounts.json"
1-12）、常见错误处理
问题描述
elasticsearch6.x {"error":"Content-Type header [application/x-www-form-urlencoded] is not supported" }
问题解答
[es@hadoop1 root]$ curl -H "Content-Type: application/json" -XDELETE 'hadoop1:9200/customer/external/1?pretty'
代码实例
在项目中导入项目中/elasticsearch-2.3.1/lib
1-1）、实体类
package com.sdcet;
public class Medicine {
private Integer id;
private String name;
private String function;
public Integer getId() {
return id;
}
public void setId(Integer id) {
this.id = id;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public String getFunction() {
return function;
}
public void setFunction(String function) {
this.function = function;
}
public Medicine() {
}
public Medicine(Integer id, String name, String function) {
this.id = id;
this.name = name;
this.function = function;
}
@Override
public String toString() {
return "Medicine [id=" + id + ", name=" + name + ", function="
+ function + "]";
}
}
1-2）、工具类
package com.sdcet;
import java.io.IOException;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentFactory;
public class JsonUtil {
/**
* 实现将实体对象转换成json对象
*
* @param medicine
* Medicine对象
* @return
*/
public static String obj2JsonData(Medicine medicine) {
String jsonData = null;
try {
// 使用XContentBuilder创建json数据
XContentBuilder jsonBuild = XContentFactory.jsonBuilder();
jsonBuild.startObject().field("id", medicine.getId())
.field("name", medicine.getName())
.field("funciton", medicine.getFunction()).endObject();
jsonData = jsonBuild.string();
System.out.println(jsonData);
} catch (IOException e) {
e.printStackTrace();
}
return jsonData;
}
}
1-3）、工厂类
package com.sdcet;
import java.util.ArrayList;
import java.util.List;
public class DataFactory {
public static DataFactory dataFactory = new DataFactory();
private DataFactory() {
}
public DataFactory getInstance() {
return dataFactory;
}
public static List<String> getInitJsonData() {
List<String> list = new ArrayList<String>();
for (int i = 0; i < 10; i++) {
String data1 = JsonUtil.obj2JsonData(new Medicine(i, "银花 感冒 颗粒",
"功能主治：银花感冒颗粒 ，头痛,清热，解表，利咽。"));
list.add(data1);
}
return list;
}
}
1-4）、主类
package com.sdcet;
import java.net.InetAddress;
import java.net.UnknownHostException;
import java.util.ArrayList;
import java.util.List;
import org.elasticsearch.action.index.IndexRequestBuilder;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.Client;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
public class ElasticSearchHandler {
private Client client;
public ElasticSearchHandler() {
// 使用本机做为节点
this("127.0.0.1");
}
public ElasticSearchHandler(String ipAddress) {
try {
client = TransportClient
.builder()
.build()
.addTransportAddress(
new InetSocketTransportAddress(InetAddress
.getByName("127.0.0.1"), 9300));
} catch (UnknownHostException e) {
e.printStackTrace();
}
// 集群连接超时设置
/*
* Settings settings =
* ImmutableSettings.settingsBuilder().put("client.transport.ping_timeout"
* , "10s").build(); client = new TransportClient(settings);
*/
// client = new TransportClient()
// .addTransportAddress(new InetSocketTransportAddress(ipAddress,
// 9200));
}
/**
* 建立索引,索引建立好之后,会在elasticsearch-0.20.6\data\elasticsearch\nodes\0创建所以你看
*
* @param indexName
* 为索引库名，一个es集群中可以有多个索引库。 名称必须为小写
* @param indexType
* Type为索引类型，是用来区分同索引库下不同类型的数据的，一个索引库下可以有多个索引类型。
* @param jsondata
* json格式的数据集合
*
* @return
*/
public void createIndexResponse(String indexname, String type,
List<String> jsondata) {
// 创建索引库 需要注意的是.setRefresh(true)这里一定要设置,否则第一次建立索引查找不到数据
IndexRequestBuilder requestBuilder = client.prepareIndex(indexname,
type).setRefresh(true);
for (int i = 0; i < jsondata.size(); i++) {
System.out.println(jsondata.get(i) + "-");
requestBuilder.setSource(jsondata.get(i)).execute().actionGet();
}
}
/**
* 创建索引
*
* @param client
* @param jsondata
* @return
*/
public IndexResponse createIndexResponse(String indexname, String type,
String jsondata) {
IndexResponse response = client.prepareIndex(indexname, type)
.setSource(jsondata).execute().actionGet();
return response;
}
/**
* 执行搜索
*
* @param queryBuilder
* @param indexname
* @param type
* @return
*/
public List<Medicine> searcher(QueryBuilder queryBuilder, String indexname,
String type) {
List<Medicine> list = new ArrayList<Medicine>();
SearchResponse searchResponse = client.prepareSearch(indexname)
.setTypes(type).setQuery(queryBuilder).execute().actionGet();
// SearchHits hits = searchResponse.hits();
SearchHits hits = searchResponse.getHits();
System.out.println("查询到记录数=" + hits.getTotalHits());
SearchHit[] searchHists = hits.getHits();
if (searchHists.length > 0) {
for (SearchHit hit : searchHists) {
Integer id = (Integer) hit.getSource().get("id");
String name = (String) hit.getSource().get("name");
String function = (String) hit.getSource().get("funciton");
list.add(new Medicine(id, name, function));
}
}
return list;
}
public static void main(String[] args) {
ElasticSearchHandler esHandler = new ElasticSearchHandler();
List<String> jsondata = DataFactory.getInitJsonData();
String indexname = "indexdemo";
String type = "typedemo";
// 创建索引
// esHandler.createIndexResponse(indexname, type, jsondata);
// 查询条件F
// QueryBuilder queryBuilder = QueryBuilders.fuzzyQuery("name", "感冒");
QueryBuilder queryBuilder = QueryBuilders.functionScoreQuery();
// QueryBuilder queryBuilder = QueryBuilders.fieldQuery("name", "感冒");
// QueryBuilders.se
/*
* QueryBuilder queryBuilder = QueryBuilders.boolQuery()
* .must(QueryBuilders.termQuery("id", 1));
*/
List<Medicine> result = esHandler.searcher(queryBuilder, indexname,
type);
for (int i = 0; i < result.size(); i++) {
Medicine medicine = result.get(i);
System.out.println("(" + medicine.getId() + ")药品名称:"
+ medicine.getName() + "\t\t" + medicine.getFunction());
}
}
}
查看效果
查看执行时间以及条数，感觉还可以
查看保存的数据结构
注意以上数据保存的路径以及数据的后缀。还有一个后缀为lock的文件，是咋写入数据时的对数据的处理的进度。
查询语句
must: 文档必须完全匹配条件
should: should下面会带一个以上的条件，至少满足一个条件，这个文档就符合shouldmust_not: 文档必须不匹配条件
详细请见http://www.cnblogs.com/yjf512/p/4897294.html
1-1）、精确查找
{
"query": {
"match_phrase": {
"name": "小青"
}
}
}
1-2）、模糊查找
{
"query": {
"match_phrase": {
"name": "小青"
}
}
}
1-3）、查找多个字段的数据
{
"query": {
"multi_match": {
"query": "小张感冒",
"fields": [
"name",
"funciton"
]
}
}
}
1-4）、我们希望完全匹配的文档占的评分比较高，则需要使用best_fields
{
"query": {
"multi_match": {
"query": "小张感冒",
"type": "best_fields",
"fields": [
"name",
"funciton"
],
"tie_breaker": 0.1
}
}
}
意思就是完全匹配"宝马 发动机"的文档评分会比较靠前，如果只匹配宝马的文档评分乘以0.3的系数
1-5）、多字段匹配
{
"query": {
"multi_match": {
"query": "小张感冒",
"type": "most_fields",
"fields": [
"name",
"funciton"
],
"tie_breaker": 0.1
}
}
}
1-6）、我们会希望这个词条的分词词汇是分配到不同字段中的，那么就使用cross_fields
{
"query": {
"term": {
"content": "1"
}
}
}
1-7）、高亮设置
{
"query": {
"match_phrase": {
"name": "大青叶"
}
},
"highlight": {
"fields": {
"name": {}
}
}
}
1-8）、URL 查询
http://localhost:9200/indexdemo/typedemo/AVbVXZ5YQST3amZyeBjV?_source=id,name
Elasticsearch 数据映射给Hive
1-1）、下载相对应的JAR
链接：http://pan.baidu.com/s/1bp9vU2N 密码：1nbz
1-2）、加载JAR包
hive > ADD JAR /home/xiaoxu/elasticsearch-hadoop-2.3.4.jar;
1-3)、映射数据
hive > create EXTERNAL table es_hive_sp_address(
regtime string,
uid int,
mobile string,
username string
)
STORED BY 'org.elasticsearch.hadoop.hive.EsStorageHandler'
TBLPROPERTIES('es.resource' = 'sp_address/sp_address', 'es.nodes'='192.168.31.122', 'es.port'='9003','es.nodes.wan.only'='true');
1-4）、查看数据
hive > select * from es_hive_sp_address;
1 01 110000 北京市
2 01 120000 天津市
3 01 130000 河北省
4 01 140000 山西省
5 01 150000 内蒙古自治区
6 01 210000 辽宁省
7 01 220000 吉林省
8 01 230000 黑龙江省
9 01 310000 上海市
***************************
elasticsearch-sql使用
github介绍:https://github.com/NLPchina/elasticsearch-sql
1-1）、软件安装
$ ./plugin install https://github.com/NLPchina/elasticsearch-sql/releases/download/2.3.1.1/elasticsearch-sql-2.3.1.1.zip
1-2）、软件使用
http://192.168.31.47:9200/_plugin/sql/
1-3）、API 调用elasticsearch-sql
public void testJDBC() throws Exception {
Properties properties = new Properties();
properties.put("url", "jdbc:elasticsearch://192.168.31.47:9200/" + TestsConstants.TEST_INDEX);
DruidDataSource dds = (DruidDataSource) ElasticSearchDruidDataSourceFactory.createDataSource(properties);
Connection connection = dds.getConnection();
PreparedStatement ps = connection.prepareStatement("SELECT gender,lastname,age from " + TestsConstants.TEST_INDEX + " where lastname='Heath'");
ResultSet resultSet = ps.executeQuery();
List<String> result = new ArrayList<String>();
while (resultSet.next()) {
System.out.println(resultSet.getString("lastname") + "," + resultSet.getInt("age") + "," + resultSet.getString("gender"))
}
ps.close();
connection.close();
dds.close();
}