PostgreSQL 數據同步到ES 搭建操作
更新時間：2021年01月06日 10:43:34 作者：將臣三代
這篇文章主要介紹了PostgreSQL 數據同步到ES 搭建操作，具有很好的參考價值，希望對大家有所幫助。一起跟隨小編過來看看吧
安裝python 和dev 開發(fā)包
[root@rtm2 Packages]# rpm -ivh python-devel-2.7.5-58.el7.x86_64.rpm 準備中... ################################# [100%] 正在升級/安裝... 1:python-devel-2.7.5-58.el7 ################################# [100%] [root@rtm2 Packages]# ls
安裝 multicorn
[root@rtm2 multicorn-1.3.5]# make Python version is 2.7 gcc -Wall -Wmissing-prototypes -Wpointer-arith -Wdeclaration-after-statement -Wendif-labels -Wmissing-format-attribute -Wformat-security -fno-strict-aliasing -fwrapv -fexcess-precision=standard -O2 -fPIC -I/usr/include/python2.7 -I/usr/include/python2.7 -I. -I./ -I/opt/pgsql-10/include/server -I/opt/pgsql-10/include/internal -D_GNU_SOURCE -c -o src/errors.o src/errors.c gcc -Wall -Wmissing-prototypes -Wpointer-arith -Wdeclaration-after-statement -Wendif-labels -Wmissing-format-attribute -Wformat-security -fno-strict-aliasing -fwrapv -fexcess-precision=standard -O2 -fPIC -I/usr/include/python2.7 -I/usr/include/python2.7 -I. -I./ -I/opt/pgsql-10/include/server -I/opt/pgsql-10/include/internal -D_GNU_SOURCE -c -o src/python.o src/python.c gcc -Wall -Wmissing-prototypes -Wpointer-arith -Wdeclaration-after-statement -Wendif-labels -Wmissing-format-attribute -Wformat-security -fno-strict-aliasing -fwrapv -fexcess-precision=standard -O2 -fPIC -I/usr/include/python2.7 -I/usr/include/python2.7 -I. -I./ -I/opt/pgsql-10/include/server -I/opt/pgsql-10/include/internal -D_GNU_SOURCE -c -o src/query.o src/query.c gcc -Wall -Wmissing-prototypes -Wpointer-arith -Wdeclaration-after-statement -Wendif-labels -Wmissing-format-attribute -Wformat-security -fno-strict-aliasing -fwrapv -fexcess-precision=standard -O2 -fPIC -I/usr/include/python2.7 -I/usr/include/python2.7 -I. -I./ -I/opt/pgsql-10/include/server -I/opt/pgsql-10/include/internal -D_GNU_SOURCE -c -o src/multicorn.o src/multicorn.c gcc -Wall -Wmissing-prototypes -Wpointer-arith -Wdeclaration-after-statement -Wendif-labels -Wmissing-format-attribute -Wformat-security -fno-strict-aliasing -fwrapv -fexcess-precision=standard -O2 -fPIC -shared -o multicorn.so src/errors.o src/python.o src/query.o src/multicorn.o -L/opt/pgsql-10/lib -Wl,--as-needed -Wl,-rpath,'/opt/pgsql-10/lib',--enable-new-dtags -lpthread -ldl -lutil -lm -lpython2.7 -lpthread -ldl -lutil -lm -lpython2.7 -Xlinker -export-dynamic .//preflight-check.sh cp sql/multicorn.sql sql/multicorn--1.3.5.sql [root@rtm2 multicorn-1.3.5]# make install Python version is 2.7 ...
安裝pg-es-fdw-master
[root@rtm2 multicorn-1.3.5]# cd ../pg-es-fdw-master [root@rtm2 pg-es-fdw-master]# ls demo.sh dite LICENSE README.md setup.py [root@rtm2 pg-es-fdw-master]# python setup.py build running build running build_py creating build creating build/lib creating build/lib/dite copying dite/__init__.py -> build/lib/dite [root@rtm2 pg-es-fdw-master]# python setup.py install running install running bdist_egg running egg_info creating dite.egg-info writing dite.egg-info/PKG-INFO
安裝插件 multicorn
[postgres@rtm2 ~]$ psql psql (10.3) Type "help" for help. postgres=# select * from pg_extension; extname | extowner | extnamespace | extrelocatable | extversion | extconfig | extcondition ---------+----------+--------------+----------------+------------+-----------+-------------- plpgsql | 10 | 11 | f | 1.0 | | (1 row) postgres=# CREATE EXTENSION multicorn; CREATE EXTENSION postgres=# psql postgres=# select * from pg_extension; extname | extowner | extnamespace | extrelocatable | extversion | extconfig | extcondition -----------+----------+--------------+----------------+------------+-----------+-------------- plpgsql | 10 | 11 | f | 1.0 | | multicorn | 10 | 2200 | t | 1.3.5 | | (2 rows) postgres=# CREATE SERVER multicorn_es FOREIGN DATA WRAPPER multicorn OPTIONS(wrapper 'dite.ElasticsearchFDW'); CREATE SERVER postgres=#
es
[root@rtm2 config]# vi elasticsearch.yml node.name: "es-node1" network.host: 192.168.31.121 discovery.zen.ping.unicast.hosts: ["192.168.31.121"]
[root@rtm2 config]# vi /etc/sysctl.conf vm.max_map_count=262144 sysctl -p [root@rtm2 config]# vi /etc/security/limits.conf # End of file root soft nofile 65536 root hard nofile 65536 root soft nproc 4096 root hard nproc 4096 ~
啟動es
[root@rtm2 bin]# ls elasticsearch elasticsearch.in.bat elasticsearch-service-mgr.exe elasticsearch-service-x86.exe plugin.bat elasticsearch.bat elasticsearch.in.sh elasticsearch-service-x64.exe plugin service.bat [root@rtm2 bin]# ./bin/elasticsearch
test=# CREATE FOREIGN TABLE pp_es (id bigint,age bigint) SERVER multicorn_es OPTIONS (host test(# '192.168.31.121', port '9200', node 'es-node1', index 'pp'); CREATE FOREIGN TABLE test=#
創(chuàng)建觸發(fā)器和外部表
test=# CREATE OR REPLACE FUNCTION index_pp() RETURNS trigger AS $def$ test$# BEGIN test$# INSERT INTO pp_es (id, age) VALUES test$# (NEW.id, NEW.age); test$# RETURN NEW; test$# END; test$# $def$ LANGUAGE plpgsql; CREATE FUNCTION test=# CREATE TRIGGER es_insert_pp AFTER INSERT ON pp FOR EACH ROW EXECUTE PROCEDURE index_pp(); CREATE TRIGGER test=#
新增數據測試
test=# insert into pp (id,age) values (1,11); INSERT 0 1 test=# select * from pp; id | age ----+----- 1 | 11 (1 row) test=#
檢查es數據
[root@rtm2 ~]# curl 'http://192.168.31.121:9200/es-node1/_search?q=*:*&pretty'
{
"took" : 104,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 2,
"max_score" : 1.0,
"hits" : [ {
"_index" : "es-node1",
"_type" : "pp",
"_id" : "1",
"_score" : 1.0,
"_source":{"age": "11"}
}, {
"_index" : "es-node1",
"_type" : "pp",
"_id" : "2",
"_score" : 1.0,
"_source":{"age": "22"}
} ]
}
}
[root@rtm2 ~]#
創(chuàng)建更新觸發(fā)器
test=# CREATE OR REPLACE FUNCTION updadeIndex_pp() RETURNS trigger AS $def$ BEGIN UPDATE pp_es SET id = NEW.id, age = NEW.age where id =NEW.id; RETURN NEW; END; $def$ LANGUAGE plpgsql; CREATE FUNCTION test=# ^C test=# test=# CREATE TRIGGER es_update_pp AFTER UPDATE OF id, age ON pp FOR EACH ROW WHEN (OLD.* IS DISTINCT test(# FROM NEW.*)EXECUTE PROCEDURE updadeIndex_pp(); CREATE TRIGGER test=#
更新表數據
test=# select * from pp;
id | age
----+-----
1 | 11
2 | 22
3 | 22
(3 rows)
test=# update pp a set a.age = 33 where a.id = 3;
ERROR: column "a" of relation "pp" does not exist
LINE 1: update pp a set a.age = 33 where a.id = 3;
^
test=# update pp set age = 33 where id = 3;
UPDATE 1
test=# select * from pp;
id | age
----+-----
1 | 11
2 | 22
3 | 33
(3 rows)
test=#
es查詢變更
[root@rtm2 ~]# curl 'http://192.168.31.121:9200/es-node1/_search?q=*:*&pretty'
{
"took" : 4,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 3,
"max_score" : 1.0,
"hits" : [ {
"_index" : "es-node1",
"_type" : "pp",
"_id" : "1",
"_score" : 1.0,
"_source":{"age": "11"}
}, {
"_index" : "es-node1",
"_type" : "pp",
"_id" : "2",
"_score" : 1.0,
"_source":{"age": "22"}
}, {
"_index" : "es-node1",
"_type" : "pp",
"_id" : "3",
"_score" : 1.0,
"_source":{"age": "33"}
} ]
}
}
[root@rtm2 ~]#
補充：logstash同步pgsql數據到Elasticsearch
一、對于logstash的配置我就不在多說，主要是三部分，input、filter、output的配置
二、配置步驟
1、input配置
input {
stdin {
}
jdbc {
jdbc_connection_string => "jdbc:postgresql://127.0.0.1:5432/world"
jdbc_user => "postgres"
jdbc_password => "zhang123"
jdbc_driver_library => "D:\logstash-6.4.0\bin\pgsql\postgresql-42.2.5.jar"
jdbc_driver_class => "org.postgresql.Driver"
jdbc_paging_enabled => "true"
jdbc_page_size => "300000"
use_column_value => "true"
tracking_column => "id"
statement_filepath => "D:\logstash-6.4.0\bin\pgsql\jdbc.sql"
schedule => "* * * * *"
type => "jdbc"
jdbc_default_timezone =>"Asia/Shanghai"
}
}
2、filter配置
filter {
json {
source => "message"
remove_field => ["message"]
}
}
3、output 配置，就是elasticsearch的基本配置
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "test_out"
template => "D:\logstash-6.4.0\bin\pgsql\es-template.json"
template_name => "t-statistic-out-logstash"
template_overwrite => true
document_type => "out"
document_id => "%{id}"
}
stdout {
codec => json_lines
}
}
以上就是整個logstash 的jdbc.conf
4、es-template.json的配置
{
"template" : "t-statistis-out-template",
"order":1,
"settings": {
"index": {
"refresh_interval": "5s"
}
},
"mappings": {
"_default_": {
"_all" : {"enabled":false},
"dynamic_templates": [
{
"message_field" : {
"match" : "message",
"match_mapping_type" : "string",
"mapping" : { "type" : "string", "index" : "not_analyzed" }
}
}, {
"string_fields" : {
"match" : "*",
"match_mapping_type" : "string",
"mapping" : { "type" : "string", "index" : "not_analyzed" }
}
}
],
"properties": {
"@timestamp": {
"type": "date"
},
"@version": {
"type": "keyword"
},
"id": {
"type": "keyword"
},
"name": {
"type": "keyword"
},
"pp": {
"type": "keyword"
}
}
}
},
"aliases": {}
}
最后就是就是下載好pgsql的連接驅動，這個官網可以下載；配置好自己的數據庫表格的數據
啟動命令：進入到logstash的bin目錄下，自己的logstash配置都是放在bin的pgsql這個目錄下面（這個自己隨意創(chuàng)建位置都可以）
logstash.bat -f ./pgsql/jdbc.conf
以上為個人經驗，希望能給大家一個參考，也希望大家多多支持腳本之家。如有錯誤或未考慮完全的地方，望不吝賜教。
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