elasticsearch - 使用Java API进行 Elasticsearch

Question

我需要索引sql数据库以使用java api进行 flex 搜索。我在Google上进行了很多搜索，但是找不到关于如何开始的很好的详细教程。我对此完全陌生。任何帮助都在等待中。

Answer 1

我将使用Java API编写elasticsearch示例，在此之前我想给您一个建议:对数据库使用Query Runner，您不会后悔相信我的:

数据库示例: http://commons.apache.org/proper/commons-dbutils/examples.html

从以下位置下载Jars: http://commons.apache.org/proper/commons-dbutils/download_dbutils.cgi
http://commons.apache.org/proper/commons-dbcp/download_dbcp.cgi
https://commons.apache.org/proper/commons-pool/download_pool.cgi

我可以使用的数据库示例:

public class Dt_page {

public static DataSource getDataSource(int server) {

    String database_driver = null;
    String database_adres = null;
    String dbuser = null;
    String dbpass = null;
    System.out.println("sasdasd");
    ConnectionFactory connectionFactory;
    switch (server) {

        case 1://profile server
            database_driver = "com.mysql.jdbc.Driver";
            database_adres = "jdbc:mysql://facebook.example.com:3306/?useUnicode=true&characterEncoding=UTF-8&rewriteBatchedStatements=true";
            dbuser = "yourdatabasenamehere";
            dbpass = "yourdatabasepasswordhere";

    }

    try {
        Class.forName(database_driver);
    } catch (ClassNotFoundException ex) {
        Logger.getLogger(Dt_page.class.getName()).log(Level.SEVERE, null, ex);
    }

    Properties props = new Properties();
    props.put("user", dbuser);
    props.put("password", dbpass);
    props.put("autoReconnect", "true");
    props.put("autoReconnectForPools", "true");

    props.put("validationQuery", "SELECT 1 from dual;");
    props.put("testWhileIdle", "true");

    connectionFactory = new DriverManagerConnectionFactory(database_adres, props);
    GenericObjectPool connectionPool = new GenericObjectPool(null, 12,         GenericObjectPool.WHEN_EXHAUSTED_GROW, 60 * 30, 12, true, true);
    GenericKeyedObjectPoolFactory keyedObjectPoolFactory = new GenericKeyedObjectPoolFactory(null);

    PoolableConnectionFactory poolableConnectionFactory
            = new PoolableConnectionFactory(connectionFactory,
                    connectionPool,
                    keyedObjectPoolFactory,
                    "select 1",
                    30,
                    null,
                    false,
                    true);

    PoolingDataSource dataSource = new PoolingDataSource(connectionPool);
    System.out.println("return");
    return dataSource;

}

}

有Elastich搜索索引示例:

public class ElasticSearch {

static ElasticSearch ss = new ElasticSearch();
Node node = nodeBuilder().node();
Client client = node.client(); // you must define these.


 /*
  *  NOTE : Search on google, you should define the (I'm really not sure but must be the JAVA_HOME)
  *  to MyComputer-->Environment Variables 
  */

public static void main(String[] args) {
   ss.getvaluesandindex();      
}

  void getvaluesandindex(){

    QueryRunner qr = new QueryRunner(Dt_page.getDataSource(1));

     List<Object[]> query2= qr.query("Select post_id,post_likes_count,shares,post_comment_count,page_name,message,status_type,Record_time from faruk.backupposts2", new ArrayListHandler());            
        Object[][] degerler = new Object[query2.size()][8];
        System.out.println(query2.size());
        for (int i = 0; i < degerler.length; i++) {

            degerler[i][0]=query2.get(i)[0]; // get value from database and give them to degerler
            degerler[i][1]=query2.get(i)[1];
            degerler[i][2]=query2.get(i)[2];
            degerler[i][3]=query2.get(i)[3];
            degerler[i][4]=query2.get(i)[4];
            degerler[i][5]=query2.get(i)[5];
            degerler[i][6]=query2.get(i)[6];
            degerler[i][7]=query2.get(i)[7];

            System.out.println(" Page Name : "+degerler[i][4]); // control here

        }

       for (int i = 0; i < degerler.length; i++) { // You will index all of your collecting data

            IndexResponse response = client.prepareIndex("Graph".toLowerCase(),"Api",Integer.toString(i))
                    .setSource(jsonBuilder()
                            .startObject()
                            .field("Post Id", degerler[i][0].toString())
                            .field("Post Like Count", degerler[i][1].toString())
                            .field("Post Shares Count", degerler[i][2].toString())
                            .field("Post Comment Count", degerler[i][3].toString())
                            .field("Page Name",degerler[i][4].toString())// Boşluk ile birlikte uzun cümleleri keyworde göre 
                            .field("Message", degerler[i][5].toString())
                            .field("Status Type", degerler[i][6].toString())
                            .field("Record Time", degerler[i][7].toString()) //  "values" is optional
                            .endObject()
                    )
                    .execute()
                    .actionGet(); 

            System.out.println("Index is over");
        }