数据环境

pglogical安装

192.168.1.110 安装过程

//下载rpm包
yum install http://packages.2ndquadrant.com/pglogical/yum-repo-rpms/pglogical-rhel-1.0-3.noarch.rpm

//安装扩展包
yum install postgresql96-pglogical

修改pg 配置文件

vim postgresql.conf

//修改如下
wal_level = ‘logical'  //必须打开
max_worker_processes = 10                           
max_replication_slots = 10  
max_wal_senders = 10      
shared_preload_libraries = 'pglogical'  //必须打开

完成修改后重启postgresql 服务

pg_ctl -D $PGDATA -l $PGDATA/logs/pg96.log  restart

连接安装pglogical扩展

psql -h 192.168.1.110 -p5433 

#create database demo
#\c demo
#create extension pglogial
#\dx;

192.168.1.100 安装过程

pipelinedb环境基于postgresql9.5 因此需要先下载pg9.5版本

//下载rpm包
yum install http://packages.2ndquadrant.com/pglogical/yum-repo-rpms/pglogical-rhel-1.0-3.noarch.rpm

yum localinstall https://download.postgresql.org/pub/repos/yum/9.5/redhat/rhel-7-x86_64/pgdg-centos95-9.5-2.noarch.rpm

yum -y install postgresql95-server postgresql95-contrib postgresql95  postgresql95-devel postgresql95 postgresql95-pglogical

#安装完成后复制postgresql9.5目录中的内容到pipelinedb安装目录中
mv /usr/pgsql-9.5//lib/* /usr/lib/pipelinedb/lib/pipelinedb/
mv /usr/pgsql-9.5/bin/* /usr/lib/pipelinedb/bin/
mv /usr/pgsql-9.5/share/extension/* /usr/lib/pipelinedb/share/pipelinedb/extension/

修改pipelinedb配置文件

vim pipelinedb.conf

listen_addresses = '*'
max_connections = 1000
port = 5432
＃红色的必须打开注释
wal_level = 'logical' 
max_worker_processes = 10                           
max_replication_slots = 10  
max_wal_senders = 10      
shared_preload_libraries = 'pglogical'

vim pg_hba.conf
local   replication     postgres                                trust
host    replication     postgres        127.0.0.1/32            trust
host    replication     postgres        ::1/128                 trust
#增加服务器90地址的同步认证
host    replication     postgres        192.168.1.110/32            trust

重启pipelinedb数据库

#根据实际安装目录
pipeline-ctl -D /data/piepelinedb/data  -l logfile restart

连接安装pglogical扩展

psql -h 192.168.1.100 -p5432

#create database pipeline
#\c pipeline
#create extension pglogial
#\dx;

pipeline_kafka集成

git clone -b 0.9.1 https://github.com/edenhill/librdkafka.git

cd librdkafka
./configure --prefix=/usr
make
sudo make install

修改pipelinedb配置文件

vim pipelinedb.conf

shared_preload_libraries = ' pglogical, pipeline_kafka’

重启生效

#根据实际安装目录
pipeline-ctl -D /data/pdb -l /data/logs/postgres/logfile restart

连接安装pipeline_kafka扩展

psql -h 192.168.1.100 -p5432 pipeline
#create extension pipeline_kafka
#\dx;



                            List of installed extensions
      Name      | Version |     Schema     |              Description
----------------+---------+----------------+----------------------------------------
 pglogical      | 2.0.1   | pglogical      | PostgreSQL Logical Replication
 pipeline_kafka | 0.9.3   | pipeline_kafka | PipelineDB extension for Kafka support
 plpgsql        | 1.0     | pg_catalog     | PL/pgSQL procedural language


安装成功

实例操作

连接上pipelinedb终端

psql -h 192.168.1.100 -p5432 pipeline

＃配置kafka broker
＃ SELECT pipeline_kafka.add_broker(‘localhost:9092’);

#创建数据流
#create stream stat_stream (monitor_id int, task_id int, time_slot timestamp, resp_time int);

＃创建视图
CREATE continuous VIEW stats_view WITH(pk = 'unique_key') AS SELECT
    monitor_id,
    task_id,
    date_trunc('hour', time_slot) AS shour,
    SUM(resp_time) AS sum_resp,
    md5(
        monitor_id || '_' || task_id || '_' || date_trunc('hour', time_slot)
    ) AS unique_key
FROM
    stat_stream
GROUP BY
    monitor_id,
    task_id,
    shour,
    unique_key;
pipeline=#  \d+
                                  List of relations
 Schema |           Name            |   Type   |  Owner   |    Size    | Description
--------+---------------------------+----------+----------+------------+-------------

 public | stats_view_mrel           | table    | postgres | 8192 bytes |
 public | stats_view_seq            | sequence | postgres | 8192 bytes |

(2 rows)
#开始消费kafka消息
# topic是my-topic，连接PipelineDB Stream名是msg_stream，消息类型是text，消息以英文逗号分割。
＃SELECT
    pipeline_kafka.consume_begin(
        'my-topic',
        'stat_stream',
        format := 'text',
        DELIMITER := ‘,',
                 QUOTE := NULL,
        ESCAPE := NULL,
        batchsize := 1000,
        maxbytes := 32000000,
        parallelism := 1,
        start_offset := NULL
    );

kafka生产测试

进入kafka安装目录 

./bin/kafka-console-producer.sh --broker-list 192.168.1.100:9092 --topic my-topic
>1,2,'2017-09-22 10:00:00’,30


pipelined查看数据流

pipeline=# select * from stats_view;
 monitor_id | task_id |        shour        | sum_resp
------------+---------+---------------------+----------
          1 |       2 | 2017-09-22 10:00:00 |       30
(1 row)

kafka 停止写流

psql -h 192.168.1.100 -p5432 pipeline
#SELECT pipeline_kafka.consume_end('my-topic', 'msg_stream');