Build Elasticsearch servers and synchronize databases on Linux

1. Preparatory work  Download Elasticsearch version number 2.3.4 https://www.elastic.co/downloads/past-releases/elasticsearch-2-3-4, download the package required to synchronize the database https:// codeload.github.com/jprante/elasticsearch-jdbc/tar.gz/2.3.4.0, download ik chinese word https://github.com/medcl/ Elasticsearch-analysis-ik/releases/download/v1.9.4/elasticsearch-analysis-ik-1.9.4.zip 2. Running Elasticsearch  Extract

tar vxf elasticsearch-2.3. 4. Tar

The Elasticsearch is ready to start in the foreground by executing the following commands:

./bin/Elasticsearch

If you want to run in daemon mode in the background, add the-D parameter

./bin/elasticsearch-d

Open another terminal for testing:

" Http://127.0.0.1:9200/?pretty "

You can see the following return information:

{   "name": "Nico Minoru",   "cluster_name": "Elasticsearch",   "version":{      "number": "2.3.4",      "Build_hash": "e455fd0c13dceca8dbbdbb1665d068ae55dabe3f",      " Build_timestamp ":" 2016-06-30t11:24:31z ",      false,      " lucene_version ":" 5.5.0 "   },   " tagline ":" You Know, for Search "}

This means that your elasticsearch cluster is up and running properly. 3. Add IK Chinese participleCreate the folder IK under elasticsearch/plugins/, and extract the Elasticsearch-analysis-ik.zip to the following 4. Creating an index mapping synchronizing the database   write a script. Sh  

#删除索引curl-xdelete'Http://127.0.0.1:9200/gsdata'#创建Mappingcurl-xput"Http://127.0.0.1:9200/gsdata"-D'{      "Mappings":{        "egov_basc_jbxx":{            "_all": {                    "Analyzer":"Ik_max_word",                    "Search_analyzer":"Ik_max_word",                    "Term_vector":"No",                    "Store":"false"                },          "Dynamic":false,          "Properties": {            "ID":{              "type":"string"            },            "Entname":{              "type":"string",              "Analyzer":"Ik_smart"            },            "Lerep":{              "type":"string",              "Analyzer":"Ik_max_word"            },            "Poscope":{              "type":"string",              "Analyzer":"Ik_smart"            },            "Econat":{              "type":"string",              "Analyzer":"Ik_smart"            },            "esdate":{              "type":"Date"            },             "Regcap":{              "type":"integer"            },            " State":{              "type":"string"            }          }        }      }    }'#同步数据 DIR=/home/search/elasticsearch-jdbc-2.3.4.0bin=${dir}/Binlib=${dir}/Libjava_home=/home/search/jdk1.8. 0_111Echo '{    "type":"JDBC",    "JDBC" : {        "URL":"JDBC:ORACLE:THIN:@//127.0.0.1:1521/ORCL",        "User":"Intgdata",        "Password":"Intgdata",        "SQL":"Select ID as \ "Id\", entname as \ "Entname\", lerep as \ "Lerep\", opscope as \ "Poscope\", Econat as \ "Econat\", estd ATE as \ "Esdate\", regcap as \ "Regcap\", state as \ "State\" from Egov_basc_jbxx",        "treat_binary_as_string":true,        "Index":"Gsdata",        "type":"egov_basc_jbxx",        "Elasticsearch" : {            "Cluster":"Elasticsearch",            "Host":"127.0.0.1",            "Port":9300        }    }}'| ${java_home}/bin/java \-CP "${lib}/*"     -dlog4j.configurationfile=${bin}/log4j2.xml Org.xbib.tools.Runner Org.xbib.tools.JDBCImporter

Note: Since this version elasticsearch-jdbc must be more than 1.8, you can specify the JDK to run

5. Run the script. Sh   6. See if the data is entered

' Http://localhost:9200/_search '

Build Elasticsearch servers and synchronize databases on Linux