目录
[二、安装配置 MySQL](#二、安装配置 MySQL)
[1. 创建 mysql 用户](#1. 创建 mysql 用户)
[2. 建立 MySQL 使用的目录](#2. 建立 MySQL 使用的目录)
[3. 解压安装包](#3. 解压安装包)
[4. 配置环境变量](#4. 配置环境变量)
[5. 创建 MySQL 配置文件](#5. 创建 MySQL 配置文件)
[6. MySQL 系统初始化](#6. MySQL 系统初始化)
[7. 启动 mysql 服务器](#7. 启动 mysql 服务器)
[8. 创建 dba 用户](#8. 创建 dba 用户)
[三、配置 MySQL 主从复制](#三、配置 MySQL 主从复制)
[四、安装部署 Kafka Connector](#四、安装部署 Kafka Connector)
[1. 创建插件目录](#1. 创建插件目录)
[2. 解压文件到插件目录](#2. 解压文件到插件目录)
[3. 配置 Kafka Connector](#3. 配置 Kafka Connector)
[(3)以 distributed 方式启动](#(3)以 distributed 方式启动)
[(4)确认 connector 插件和自动生成的 topic](#(4)确认 connector 插件和自动生成的 topic)
[4. 创建 source connector](#4. 创建 source connector)
[(1)创建源 mysql 配置文件](#(1)创建源 mysql 配置文件)
[(2)创建 mysql source connector](#(2)创建 mysql source connector)
[5. 创建 sink connector](#5. 创建 sink connector)
[(1)创建目标 hbase 配置文件](#(1)创建目标 hbase 配置文件)
[(2)创建 hbase sink connector](#(2)创建 hbase sink connector)
[6. 存量数据自动同步](#6. 存量数据自动同步)
[7. 实时数据同步测试](#7. 实时数据同步测试)
本篇演示安装配置 Kafka connect 插件实现 MySQL 到 Hbase 的实时数据同步。依赖环境见本专栏前面文章。相关软件版本如下:
- JDK:11.0.22
- MySQL:8.0.16
- HBase:2.5.7
- debezium-connector-mysql:2.4.2
- kafka-connect-hbase:2.0.13
一、总体架构
总体结构如下图所示。
下表描述了四个节点上分别将会运行的相关进程。简便起见,安装部署过程中所用的命令都使用操作系统的 root 用户执行。
|------------------------------|-----------|-----------|-----------|-----------|
| 节点 进程 | node1 | node2 | node3 | node4 |
| debezium-connector-mysql | | * | * | * |
| kafka-connect-hbase | | * | * | * |
另外在 172.18.16.156 上安装 MySQL,并启动两个实例做主从复制,主库实例用3306端口,从库实例用3307端口。
所需安装包:
- mysql-8.0.16-linux-glibc2.12-x86_64.tar.xz
- debezium-debezium-connector-mysql-2.4.2.zip
- confluentinc-kafka-connect-hbase-2.0.13.zip
这里使用的 debezium connector 版本需要 JDK 11 以上支持。在安装了多个 JDK 版本的环境中,可以使用 alternatives 命令选择需要的版本:
[root@vvgg-z2-music-mysqld~]#alternatives --config java
共有 5 个程序提供"java"。
选择 命令
-----------------------------------------------
1 /usr/lib/jvm/jre-1.7.0-openjdk.x86_64/bin/java
2 /usr/lib/jvm/jre-1.6.0-openjdk.x86_64/bin/java
+ 3 /usr/lib/jvm/java-1.8.0-openjdk-1.8.0.51-0.b16.el6_6.x86_64/jre/bin/java
4 /usr/lib/jvm/jre-1.5.0-gcj/bin/java
* 5 /usr/lib/jvm/jdk-11-oracle-x64/bin/java
按 Enter 来保存当前选择[+],或键入选择号码:5
[root@vvgg-z2-music-mysqld~]#java -version
java version "11.0.22" 2024-01-16 LTS
Java(TM) SE Runtime Environment 18.9 (build 11.0.22+9-LTS-219)
Java HotSpot(TM) 64-Bit Server VM 18.9 (build 11.0.22+9-LTS-219, mixed mode)
[root@vvgg-z2-music-mysqld~]#
在 172.18.16.156 的 /etc/hosts 文件中加入 Kafka 集群主机名:
# 编辑文件
vim /etc/hosts
添加以下内容:
172.18.4.126 node1
172.18.4.188 node2
172.18.4.71 node3
172.18.4.86 node4
二、安装配置 MySQL
安装配置 MySQL 一主一从双实例。
1. 创建 mysql 用户
# root 用于执行
useradd mysql
passwd mysql
2. 建立 MySQL 使用的目录
# 创建数据目录,确保数据目录 mysqldata 为空
mkdir -p /data/3306/mysqldata
# 创建 binlog 目录
mkdir -p /data/3306/dblog
# 创建临时目录
mkdir -p /data/3306/tmp
# 修改目录属主为 mysql
chown -R mysql:mysql /data
# 使用 mysql 用户执行下面的安装过程
su - mysql
3. 解压安装包
# 进入安装目录
cd ~
# 从tar包中把提取文件
tar xvf mysql-8.0.16-linux-glibc2.12-x86_64.tar.xz
# 建立软连接
ln -s mysql-8.0.16-linux-glibc2.12-x86_64 mysql-8.0.16
4. 配置环境变量
# 将 MySQL 可执行文件所在目录添加到 $PATH 环境变量中
# 编辑文件
vim ~/.bash_profile
# 修改或添加如下两行
PATH=$PATH:$HOME/.local/bin:$HOME/bin:/home/mysql/mysql-8.0.16/bin
export PATH
# 使配置生效
source ~/.bash_profile
5. 创建 MySQL 配置文件
# 编辑文件
vim /home/mysql/my_3306.cnf
文件内容如下:
[mysqld]
max_allowed_packet=1G
log_timestamps=system
binlog_transaction_dependency_tracking = WRITESET
transaction_write_set_extraction = XXHASH64
binlog_expire_logs_seconds=259200
lower_case_table_names=1
secure_file_priv=''
log_bin_trust_function_creators=on
character-set-server = utf8mb4
default_authentication_plugin=mysql_native_password
basedir=/home/mysql/mysql-8.0.16-linux-glibc2.12-x86_64
datadir=/data/3306/mysqldata
socket=/data/3306/mysqldata/mysql.sock
wait_timeout=30
innodb_buffer_pool_size = 16G
max_connections = 1000
default-time-zone = '+8:00'
port = 3306
skip-name-resolve
user=mysql
innodb_print_all_deadlocks=1
log_output='table'
slow_query_log = 1
long_query_time = 1
tmp_table_size = 32M
# 开启 binlog
log-bin=/data/3306/dblog/mysql-bin
log-bin-index = /data/3306/dblog/mysql-bin.index
tmpdir = /data/3306/tmp
server-id = 1563306
innodb_data_file_path = ibdata1:1G:autoextend
innodb_data_home_dir = /data/3306/mysqldata
innodb_log_buffer_size = 16M
innodb_log_file_size = 1G
innodb_log_files_in_group = 3
innodb_log_group_home_dir=/data/3306/dblog
innodb_max_dirty_pages_pct = 90
innodb_lock_wait_timeout = 120
gtid-mode = on
enforce_gtid_consistency=true
local_infile=0
log_error='/data/3306/mysqldata/master.err'
skip_symbolic_links=yes
[mysqldump]
quick
max_allowed_packet = 1G
[mysqld_safe]
open-files-limit = 8192
6. MySQL 系统初始化
mysqld --defaults-file=/home/mysql/my_3306.cnf --initialize
7. 启动 mysql 服务器
mysqld_safe --defaults-file=/home/mysql/my_3306.cnf &
8. 创建 dba 用户
# 连接 mysql 服务器
mysql -u root -p -S /data/3306/mysqldata/mysql.sock
-- 修改 root 用户密码
alter user user() identified by "123456";
-- 创建一个新的 dba 账号
create user 'dba'@'%' identified with mysql_native_password by '123456';
grant all on *.* to 'dba'@'%' with grant option;
重复执行 2 - 8 步,将 3306 换成 3307,创建从库实例。
三、配置 MySQL 主从复制
3306 主库实例执行:
-- 查看复制位点
show master status;
-- 创建复制用户并授权
create user 'repl'@'%' identified with mysql_native_password by '123456';
grant replication client,replication slave on *.* to 'repl'@'%';
-- 创建测试库表及数据
create database test;
create table test.t1 (
id bigint(20) not null auto_increment,
remark varchar(32) default null comment '备注',
createtime timestamp not null default current_timestamp comment '创建时间',
primary key (id));
insert into test.t1 (remark) values ('第一行:row1'),('第二行:row2'),('第三行:row3');
输出:
mysql> show master status;
+------------------+----------+--------------+------------------+------------------------------------------+
| File | Position | Binlog_Do_DB | Binlog_Ignore_DB | Executed_Gtid_Set |
+------------------+----------+--------------+------------------+------------------------------------------+
| mysql-bin.000001 | 977 | | | ba615057-e11c-11ee-b80e-246e961c91f8:1-3 |
+------------------+----------+--------------+------------------+------------------------------------------+
1 row in set (0.00 sec)
mysql> create user 'repl'@'%' identified with mysql_native_password by '123456';
Query OK, 0 rows affected (0.01 sec)
mysql> grant replication client,replication slave on *.* to 'repl'@'%';
Query OK, 0 rows affected (0.00 sec)
mysql> create database test;
Query OK, 1 row affected (0.00 sec)
mysql> create table test.t1 (
-> id bigint(20) not null auto_increment,
-> remark varchar(32) default null comment '备注',
-> createtime timestamp not null default current_timestamp comment '创建时间',
-> primary key (id));
Query OK, 0 rows affected (0.01 sec)
mysql> insert into test.t1 (remark) values ('第一行:row1'),('第二行:row2'),('第三行:row3');
Query OK, 3 rows affected (0.00 sec)
Records: 3 Duplicates: 0 Warnings: 0
3307 从库实例执行:
change master to
master_host='172.18.16.156',
master_port=3306,
master_user='repl',
master_password='123456',
master_log_file='mysql-bin.000001',
master_log_pos=977;
start slave;
show slave status\G
select user,host from mysql.user;
select * from test.t1;
输出:
mysql> change master to
-> master_host='172.18.16.156',
-> master_port=3306,
-> master_user='repl',
-> master_password='123456',
-> master_log_file='mysql-bin.000001',
-> master_log_pos=977;
Query OK, 0 rows affected, 2 warnings (0.00 sec)
mysql> start slave;
Query OK, 0 rows affected (0.01 sec)
mysql> show slave status\G
*************************** 1. row ***************************
Slave_IO_State: Waiting for master to send event
Master_Host: 172.18.16.156
Master_User: repl
Master_Port: 3306
Connect_Retry: 60
Master_Log_File: mysql-bin.000001
Read_Master_Log_Pos: 2431
Relay_Log_File: vvgg-z2-music-mysqld-relay-bin.000002
Relay_Log_Pos: 1776
Relay_Master_Log_File: mysql-bin.000001
Slave_IO_Running: Yes
Slave_SQL_Running: Yes
Replicate_Do_DB:
Replicate_Ignore_DB:
Replicate_Do_Table:
Replicate_Ignore_Table:
Replicate_Wild_Do_Table:
Replicate_Wild_Ignore_Table:
Last_Errno: 0
Last_Error:
Skip_Counter: 0
Exec_Master_Log_Pos: 2431
Relay_Log_Space: 1999
Until_Condition: None
Until_Log_File:
Until_Log_Pos: 0
Master_SSL_Allowed: No
Master_SSL_CA_File:
Master_SSL_CA_Path:
Master_SSL_Cert:
Master_SSL_Cipher:
Master_SSL_Key:
Seconds_Behind_Master: 0
Master_SSL_Verify_Server_Cert: No
Last_IO_Errno: 0
Last_IO_Error:
Last_SQL_Errno: 0
Last_SQL_Error:
Replicate_Ignore_Server_Ids:
Master_Server_Id: 1563306
Master_UUID: ba615057-e11c-11ee-b80e-246e961c91f8
Master_Info_File: mysql.slave_master_info
SQL_Delay: 0
SQL_Remaining_Delay: NULL
Slave_SQL_Running_State: Slave has read all relay log; waiting for more updates
Master_Retry_Count: 86400
Master_Bind:
Last_IO_Error_Timestamp:
Last_SQL_Error_Timestamp:
Master_SSL_Crl:
Master_SSL_Crlpath:
Retrieved_Gtid_Set: ba615057-e11c-11ee-b80e-246e961c91f8:4-8
Executed_Gtid_Set: ba615057-e11c-11ee-b80e-246e961c91f8:4-8,
c2df1946-e11c-11ee-8026-246e961c91f8:1-3
Auto_Position: 0
Replicate_Rewrite_DB:
Channel_Name:
Master_TLS_Version:
Master_public_key_path:
Get_master_public_key: 0
Network_Namespace:
1 row in set (0.00 sec)
mysql> select user,host from mysql.user;
+------------------+-----------+
| user | host |
+------------------+-----------+
| dba | % |
| repl | % |
| mysql.infoschema | localhost |
| mysql.session | localhost |
| mysql.sys | localhost |
| root | localhost |
+------------------+-----------+
6 rows in set (0.00 sec)
mysql> select * from test.t1;
+----+------------------+---------------------+
| id | remark | createtime |
+----+------------------+---------------------+
| 1 | 第一行:row1 | 2024-03-20 10:25:32 |
| 2 | 第二行:row2 | 2024-03-20 10:25:32 |
| 3 | 第三行:row3 | 2024-03-20 10:25:32 |
+----+------------------+---------------------+
3 rows in set (0.00 sec)
MySQL主从复制相关配置参见"配置异步复制"。
四、安装部署 Kafka Connector
在 node2 上执行以下步骤。
1. 创建插件目录
mkdir $KAFKA_HOME/plugins
2. 解压文件到插件目录
# debezium-connector-mysql
unzip debezium-debezium-connector-mysql-2.4.2.zip -d $KAFKA_HOME/plugins/
# kafka-connect-hbase
unzip confluentinc-kafka-connect-hbase-2.0.13.zip -d $KAFKA_HOME/plugins/
3. 配置 Kafka Connector
(1)配置属性文件
# 编辑 connect-distributed.properties 文件
vim $KAFKA_HOME/config/connect-distributed.properties
内容如下:
bootstrap.servers=node2:9092,node3:9092,node4:9092
group.id=connect-cluster
key.converter=org.apache.kafka.connect.json.JsonConverter
value.converter=org.apache.kafka.connect.json.JsonConverter
key.converter.schemas.enable=false
value.converter.schemas.enable=false
offset.storage.topic=connect-offsets
offset.storage.replication.factor=3
offset.storage.partitions=3
config.storage.topic=connect-configs
config.storage.replication.factor=3
status.storage.topic=connect-status
status.storage.replication.factor=3
status.storage.partitions=3
offset.flush.interval.ms=10000
plugin.path=/root/kafka_2.13-3.7.0/plugins
(2)分发到其它节点
scp $KAFKA_HOME/config/connect-distributed.properties node3:$KAFKA_HOME/config/
scp $KAFKA_HOME/config/connect-distributed.properties node4:$KAFKA_HOME/config/
scp -r $KAFKA_HOME/plugins node3:$KAFKA_HOME/
scp -r $KAFKA_HOME/plugins node4:$KAFKA_HOME/
(3)以 distributed 方式启动
三台都执行,在三个节点上各启动一个 worker 进程,用以容错和负载均衡。
connect-distributed.sh -daemon $KAFKA_HOME/config/connect-distributed.properties
# 确认日志是否有 ERROR
grep ERROR ~/kafka_2.13-3.7.0/logs/connectDistributed.out
(4)确认 connector 插件和自动生成的 topic
查看连接器插件:
curl -X GET http://node2:8083/connector-plugins | jq
从输出中可以看到,Kafka connect 已经识别到了 hbase sink 和 mysql source 插件:
[root@vvml-yz-hbase-test~]#curl -X GET http://node2:8083/connector-plugins | jq
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 494 100 494 0 0 4111 0 --:--:-- --:--:-- --:--:-- 4116
[
{
"class": "io.confluent.connect.hbase.HBaseSinkConnector",
"type": "sink",
"version": "2.0.13"
},
{
"class": "io.debezium.connector.mysql.MySqlConnector",
"type": "source",
"version": "2.4.2.Final"
},
{
"class": "org.apache.kafka.connect.mirror.MirrorCheckpointConnector",
"type": "source",
"version": "3.7.0"
},
{
"class": "org.apache.kafka.connect.mirror.MirrorHeartbeatConnector",
"type": "source",
"version": "3.7.0"
},
{
"class": "org.apache.kafka.connect.mirror.MirrorSourceConnector",
"type": "source",
"version": "3.7.0"
}
]
[root@vvml-yz-hbase-test~]#
查看 topic:
kafka-topics.sh --list --bootstrap-server node2:9092,node3:9092,node4:9092
从输出中可以看到,Kafka connect 启动时自动创建了 connect-configs、connect-offsets、connect-status 三个 topic:
[root@vvml-yz-hbase-test~]#kafka-topics.sh --list --bootstrap-server node2:9092,node3:9092,node4:9092
__consumer_offsets
connect-configs
connect-offsets
connect-status
test-1
test-3
[root@vvml-yz-hbase-test~]#
4. 创建 source connector
(1)创建源 mysql 配置文件
# 编辑文件
vim $KAFKA_HOME/plugins/source-mysql.json
内容如下:
{
"name": "mysql-source-connector",
"config": {
"connector.class": "io.debezium.connector.mysql.MySqlConnector",
"tasks.max": "1",
"topic.prefix": "mysql-hbase-test",
"database.hostname": "172.18.16.156",
"database.port": "3307",
"database.user": "dba",
"database.password": "123456",
"database.server.id": "1563307",
"database.server.name": "dbserver1",
"database.include.list": "test",
"schema.history.internal.kafka.bootstrap.servers": "node2:9092,node3:9092,node4:9092",
"schema.history.internal.kafka.topic": "schemahistory.mysql-hbase-test"
}
}
(2)创建 mysql source connector
# 创建 connector
curl -X POST -H 'Content-Type: application/json' -i 'http://node2:8083/connectors' -d @"/root/kafka_2.13-3.7.0/plugins/source-mysql.json"
# 查看 connector 状态
curl -X GET http://node2:8083/connectors/mysql-source-connector/status | jq
# 查看 topic
kafka-topics.sh --list --bootstrap-server node2:9092,node3:9092,node4:9092
从输出中可以看到,mysql-source-connector 状态为 RUNNING,并自动创建了三个 topic:
[root@vvml-yz-hbase-test~]#curl -X POST -H 'Content-Type: application/json' -i 'http://node2:8083/connectors' -d @"/root/kafka_2.13-3.7.0/plugins/source-mysql.json"
HTTP/1.1 201 Created
Date: Wed, 20 Mar 2024 02:31:30 GMT
Location: http://node2:8083/connectors/mysql-source-connector
Content-Type: application/json
Content-Length: 579
Server: Jetty(9.4.53.v20231009)
{"name":"mysql-source-connector","config":{"connector.class":"io.debezium.connector.mysql.MySqlConnector","tasks.max":"1","topic.prefix":"mysql-hbase-test","database.hostname":"172.18.16.156","database.port":"3307","database.user":"dba","database.password":"123456","database.server.id":"1563307","database.server.name":"dbserver1","database.include.list":"test","schema.history.internal.kafka.bootstrap.servers":"node2:9092,node3:9092,node4:9092","schema.history.internal.kafka.topic":"schemahistory.mysql-hbase-test","name":"mysql-source-connector"},"tasks":[],"type":"source"}
[root@vvml-yz-hbase-test~]#curl -X GET http://node2:8083/connectors/mysql-source-connector/status | jq
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 182 100 182 0 0 20726 0 --:--:-- --:--:-- --:--:-- 22750
{
"name": "mysql-source-connector",
"connector": {
"state": "RUNNING",
"worker_id": "172.18.4.188:8083"
},
"tasks": [
{
"id": 0,
"state": "RUNNING",
"worker_id": "172.18.4.188:8083"
}
],
"type": "source"
}
[root@vvml-yz-hbase-test~]#kafka-topics.sh --list --bootstrap-server node2:9092,node3:9092,node4:9092
__consumer_offsets
connect-configs
connect-offsets
connect-status
mysql-hbase-test
mysql-hbase-test.test.t1
schemahistory.mysql-hbase-test
test-1
test-3
[root@vvml-yz-hbase-test~]#
5. 创建 sink connector
(1)创建目标 hbase 配置文件
# 编辑文件
vim $KAFKA_HOME/plugins/sink-hbase.json
内容如下:
{
"name": "hbase-sink-connector",
"config": {
"topics": "mysql-hbase-test.test.t1",
"tasks.max": "1",
"connector.class": "io.confluent.connect.hbase.HBaseSinkConnector",
"key.converter":"org.apache.kafka.connect.storage.StringConverter",
"value.converter":"org.apache.kafka.connect.storage.StringConverter",
"confluent.topic.bootstrap.servers": "node2:9092,node3:9092,node4:9092",
"confluent.topic.replication.factor":3,
"hbase.zookeeper.quorum": "node2,node3,node4",
"hbase.zookeeper.property.clientPort": "2181",
"auto.create.tables": "true",
"auto.create.column.families": "true",
"table.name.format": "example_table"
}
}
(2)创建 hbase sink connector
# 创建 connector
curl -X POST -H 'Content-Type: application/json' -i 'http://node2:8083/connectors' -d @"/root/kafka_2.13-3.7.0/plugins/sink-hbase.json"
# 查看 connector 状态
curl -X GET http://node2:8083/connectors/hbase-sink-connector/status | jq
# 查看 consumer group
kafka-consumer-groups.sh --list --bootstrap-server node2:9092,node3:9092,node4:9092
从输出中可以看到,hbase-sink-connector 状态为 RUNNING,并自动创建了一个消费者组:
[root@vvml-yz-hbase-test~]#curl -X POST -H 'Content-Type: application/json' -i 'http://node2:8083/connectors' -d @"/root/kafka_2.13-3.7.0/plugins/sink-hbase.json"
HTTP/1.1 201 Created
Date: Wed, 20 Mar 2024 02:33:11 GMT
Location: http://node2:8083/connectors/hbase-sink-connector
Content-Type: application/json
Content-Length: 654
Server: Jetty(9.4.53.v20231009)
{"name":"hbase-sink-connector","config":{"topics":"mysql-hbase-test.test.t1","tasks.max":"1","connector.class":"io.confluent.connect.hbase.HBaseSinkConnector","key.converter":"org.apache.kafka.connect.storage.StringConverter","value.converter":"org.apache.kafka.connect.storage.StringConverter","confluent.topic.bootstrap.servers":"node2:9092,node3:9092,node4:9092","confluent.topic.replication.factor":"3","hbase.zookeeper.quorum":"node2,node3,node4","hbase.zookeeper.property.clientPort":"2181","auto.create.tables":"true","auto.create.column.families":"true","table.name.format":"example_table","name":"hbase-sink-connector"},"tasks":[],"type":"sink"}
[root@vvml-yz-hbase-test~]#curl -X GET http://node2:8083/connectors/hbase-sink-connector/status | jq
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 176 100 176 0 0 23084 0 --:--:-- --:--:-- --:--:-- 25142
{
"name": "hbase-sink-connector",
"connector": {
"state": "RUNNING",
"worker_id": "172.18.4.71:8083"
},
"tasks": [
{
"id": 0,
"state": "RUNNING",
"worker_id": "172.18.4.71:8083"
}
],
"type": "sink"
}
[root@vvml-yz-hbase-test~]#kafka-consumer-groups.sh --list --bootstrap-server node2:9092,node3:9092,node4:9092
connect-hbase-sink-connector
[root@vvml-yz-hbase-test~]#
6. 存量数据自动同步
sink connector 自动在 hbase 中创建了 example_table 表,并且自动同步了前面配置 MySQL 主从复制时添加的三条测试数据:
[root@vvml-yz-hbase-test~]#hbase shell
HBase Shell
Use "help" to get list of supported commands.
Use "exit" to quit this interactive shell.
For Reference, please visit: http://hbase.apache.org/2.0/book.html#shell
Version 2.5.7-hadoop3, r6788f98356dd70b4a7ff766ea7a8298e022e7b95, Thu Dec 14 16:16:10 PST 2023
Took 0.0012 seconds
hbase:001:0> list
TABLE
SYSTEM:CATALOG
SYSTEM:CHILD_LINK
SYSTEM:FUNCTION
SYSTEM:LOG
SYSTEM:MUTEX
SYSTEM:SEQUENCE
SYSTEM:STATS
SYSTEM:TASK
example_table
test
10 row(s)
Took 0.3686 seconds
=> ["SYSTEM:CATALOG", "SYSTEM:CHILD_LINK", "SYSTEM:FUNCTION", "SYSTEM:LOG", "SYSTEM:MUTEX", "SYSTEM:SEQUENCE", "SYSTEM:STATS", "SYSTEM:TASK", "example_table", "test"]
hbase:002:0> describe 'example_table'
Table example_table is ENABLED
example_table, {TABLE_ATTRIBUTES => {METADATA => {'hbase.store.file-tracker.impl' => 'DEFAULT'}}}
COLUMN FAMILIES DESCRIPTION
{NAME => 'mysql-hbase-test.test.t1', INDEX_BLOCK_ENCODING => 'NONE', VERSIONS => '1', KEEP_DELETED_CELLS => 'FALSE', DATA_BLOCK_ENCODING =
> 'NONE', TTL => 'FOREVER', MIN_VERSIONS => '0', REPLICATION_SCOPE => '0', BLOOMFILTER => 'ROW', IN_MEMORY => 'false', COMPRESSION => 'NON
E', BLOCKCACHE => 'true', BLOCKSIZE => '65536 B (64KB)'}
1 row(s)
Quota is disabled
Took 0.1173 seconds
hbase:003:0> scan 'example_table',{FORMATTER=>'toString'}
ROW COLUMN+CELL
{"id":1} column=mysql-hbase-test.test.t1:KAFKA_VALUE, timestamp=2024-03-20T10:33:13.587, value={"before":null,"
after":{"id":1,"remark":"第一行:row1","createtime":"2024-03-20T02:25:32Z"},"source":{"version":"2.4.2.Fin
al","connector":"mysql","name":"mysql-hbase-test","ts_ms":1710901892000,"snapshot":"first","db":"test"
,"sequence":null,"table":"t1","server_id":0,"gtid":null,"file":"mysql-bin.000001","pos":2465,"row":0,"
thread":null,"query":null},"op":"r","ts_ms":1710901892115,"transaction":null}
{"id":2} column=mysql-hbase-test.test.t1:KAFKA_VALUE, timestamp=2024-03-20T10:33:13.593, value={"before":null,"
after":{"id":2,"remark":"第二行:row2","createtime":"2024-03-20T02:25:32Z"},"source":{"version":"2.4.2.Fin
al","connector":"mysql","name":"mysql-hbase-test","ts_ms":1710901892000,"snapshot":"true","db":"test",
"sequence":null,"table":"t1","server_id":0,"gtid":null,"file":"mysql-bin.000001","pos":2465,"row":0,"t
hread":null,"query":null},"op":"r","ts_ms":1710901892117,"transaction":null}
{"id":3} column=mysql-hbase-test.test.t1:KAFKA_VALUE, timestamp=2024-03-20T10:33:13.596, value={"before":null,"
after":{"id":3,"remark":"第三行:row3","createtime":"2024-03-20T02:25:32Z"},"source":{"version":"2.4.2.Fin
al","connector":"mysql","name":"mysql-hbase-test","ts_ms":1710901892000,"snapshot":"last","db":"test",
"sequence":null,"table":"t1","server_id":0,"gtid":null,"file":"mysql-bin.000001","pos":2465,"row":0,"t
hread":null,"query":null},"op":"r","ts_ms":1710901892117,"transaction":null}
3 row(s)
Took 0.0702 seconds
hbase:004:0>
debezium-connector-mysql 默认会在启动时将存量数据写到 Kafka 中,这使得在构建实时数仓时,可以做到存量数据与增量数据一步实时同步,极大方便了 CDC(Change Data Capture,变化数据捕获) 过程。
7. 实时数据同步测试
MySQL 主库数据变更:
insert into test.t1 (remark) values ('第四行:row4');
update test.t1 set remark = '第五行:row5' where id = 4;
delete from test.t1 where id =1;
Hbase 查看数据变化:
hbase:004:0> scan 'example_table',{FORMATTER=>'toString'}
ROW COLUMN+CELL
{"id":1} column=mysql-hbase-test.test.t1:KAFKA_VALUE, timestamp=2024-03-20T10:33:13.587, value={"before":null,"
after":{"id":1,"remark":"第一行:row1","createtime":"2024-03-20T02:25:32Z"},"source":{"version":"2.4.2.Fin
al","connector":"mysql","name":"mysql-hbase-test","ts_ms":1710901892000,"snapshot":"first","db":"test"
,"sequence":null,"table":"t1","server_id":0,"gtid":null,"file":"mysql-bin.000001","pos":2465,"row":0,"
thread":null,"query":null},"op":"r","ts_ms":1710901892115,"transaction":null}
{"id":2} column=mysql-hbase-test.test.t1:KAFKA_VALUE, timestamp=2024-03-20T10:33:13.593, value={"before":null,"
after":{"id":2,"remark":"第二行:row2","createtime":"2024-03-20T02:25:32Z"},"source":{"version":"2.4.2.Fin
al","connector":"mysql","name":"mysql-hbase-test","ts_ms":1710901892000,"snapshot":"true","db":"test",
"sequence":null,"table":"t1","server_id":0,"gtid":null,"file":"mysql-bin.000001","pos":2465,"row":0,"t
hread":null,"query":null},"op":"r","ts_ms":1710901892117,"transaction":null}
{"id":3} column=mysql-hbase-test.test.t1:KAFKA_VALUE, timestamp=2024-03-20T10:33:13.596, value={"before":null,"
after":{"id":3,"remark":"第三行:row3","createtime":"2024-03-20T02:25:32Z"},"source":{"version":"2.4.2.Fin
al","connector":"mysql","name":"mysql-hbase-test","ts_ms":1710901892000,"snapshot":"last","db":"test",
"sequence":null,"table":"t1","server_id":0,"gtid":null,"file":"mysql-bin.000001","pos":2465,"row":0,"t
hread":null,"query":null},"op":"r","ts_ms":1710901892117,"transaction":null}
{"id":4} column=mysql-hbase-test.test.t1:KAFKA_VALUE, timestamp=2024-03-20T10:38:18.788, value={"before":null,"
after":{"id":4,"remark":"第四行:row4","createtime":"2024-03-20T02:38:18Z"},"source":{"version":"2.4.2.Fin
al","connector":"mysql","name":"mysql-hbase-test","ts_ms":1710902298000,"snapshot":"false","db":"test"
,"sequence":null,"table":"t1","server_id":1563306,"gtid":"ba615057-e11c-11ee-b80e-246e961c91f8:9","fil
e":"mysql-bin.000001","pos":2679,"row":0,"thread":49,"query":null},"op":"c","ts_ms":1710902298665,"tra
nsaction":null}
4 row(s)
Took 0.0091 seconds
hbase:005:0>
MySQL 执行的 delete、update 操作没有同步到 Hbase。
查看消费情况:
[root@vvml-yz-hbase-test~]#kafka-consumer-groups.sh --group connect-hbase-sink-connector --describe --bootstrap-server node2:9092,node3:9092,node4:9092
Consumer group 'connect-hbase-sink-connector' has no active members.
GROUP TOPIC PARTITION CURRENT-OFFSET LOG-END-OFFSET LAG CONSUMER-ID HOST CLIENT-ID
connect-hbase-sink-connector mysql-hbase-test.test.t1 0 3 7 4 - - -
[root@vvml-yz-hbase-test~]#
数据变更都写入了 Kafka,但没有都消费。
查看 sink connector 状态:
[root@vvml-yz-hbase-test~]#curl -X GET http://node2:8083/connectors/hbase-sink-connector/status | jq
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 2168 100 2168 0 0 368k 0 --:--:-- --:--:-- --:--:-- 423k
{
"name": "hbase-sink-connector",
"connector": {
"state": "RUNNING",
"worker_id": "172.18.4.71:8083"
},
"tasks": [
{
"id": 0,
"state": "FAILED",
"worker_id": "172.18.4.71:8083",
"trace": "org.apache.kafka.connect.errors.ConnectException: Exiting WorkerSinkTask due to unrecoverable exception.\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.deliverMessages(WorkerSinkTask.java:632)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:350)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:250)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:219)\n\tat org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:204)\n\tat org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:259)\n\tat org.apache.kafka.connect.runtime.isolation.Plugins.lambda$withClassLoader$1(Plugins.java:237)\n\tat java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)\n\tat java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)\n\tat java.base/java.lang.Thread.run(Thread.java:834)\nCaused by: org.apache.kafka.connect.errors.ConnectException: Error inserting record in topic mysql-hbase-test.test.t1 with offset 4 and partition 0 to table example_table: \n\tat io.confluent.connect.bigtable.client.BigtableClient.handleWriteErrors(BigtableClient.java:515)\n\tat io.confluent.connect.bigtable.client.BigtableClient.insert(BigtableClient.java:287)\n\tat io.confluent.connect.bigtable.client.InsertWriter.writeInserts(InsertWriter.java:58)\n\tat io.confluent.connect.bigtable.client.InsertWriter.write(InsertWriter.java:48)\n\tat io.confluent.connect.bigtable.BaseBigtableSinkTask.put(BaseBigtableSinkTask.java:100)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.deliverMessages(WorkerSinkTask.java:601)\n\t... 11 more\nCaused by: org.apache.kafka.connect.errors.ConnectException: Row with specified row key already exists.\n\t... 16 more\n"
}
],
"type": "sink"
}
[root@vvml-yz-hbase-test~]#
查看 node3 上的日志文件 ~/kafka_2.13-3.7.0/logs/connectDistributed.out,错误信息如下:
[2024-03-20 10:38:18,794] ERROR [hbase-sink-connector|task-0] WorkerSinkTask{id=hbase-sink-connector-0} Task threw an uncaught and unrecoverable exception. Task is being killed and will not recover until manually restarted. Error: Error inserting record in topic mysql-hbase-test.test.t1 with offset 4 and partition 0 to table example_table: (org.apache.kafka.connect.runtime.WorkerSinkTask:630)
org.apache.kafka.connect.errors.ConnectException: Error inserting record in topic mysql-hbase-test.test.t1 with offset 4 and partition 0 to table example_table:
at io.confluent.connect.bigtable.client.BigtableClient.handleWriteErrors(BigtableClient.java:515)
at io.confluent.connect.bigtable.client.BigtableClient.insert(BigtableClient.java:287)
at io.confluent.connect.bigtable.client.InsertWriter.writeInserts(InsertWriter.java:58)
at io.confluent.connect.bigtable.client.InsertWriter.write(InsertWriter.java:48)
at io.confluent.connect.bigtable.BaseBigtableSinkTask.put(BaseBigtableSinkTask.java:100)
at org.apache.kafka.connect.runtime.WorkerSinkTask.deliverMessages(WorkerSinkTask.java:601)
at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:350)
at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:250)
at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:219)
at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:204)
at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:259)
at org.apache.kafka.connect.runtime.isolation.Plugins.lambda$withClassLoader$1(Plugins.java:237)
at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:834)
Caused by: org.apache.kafka.connect.errors.ConnectException: Row with specified row key already exists.
... 16 more
[2024-03-20 10:38:18,794] ERROR [hbase-sink-connector|task-0] WorkerSinkTask{id=hbase-sink-connector-0} Task threw an uncaught and unrecoverable exception. Task is being killed and will not recover until manually restarted (org.apache.kafka.connect.runtime.WorkerTask:212)
org.apache.kafka.connect.errors.ConnectException: Exiting WorkerSinkTask due to unrecoverable exception.
at org.apache.kafka.connect.runtime.WorkerSinkTask.deliverMessages(WorkerSinkTask.java:632)
at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:350)
at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:250)
at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:219)
at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:204)
at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:259)
at org.apache.kafka.connect.runtime.isolation.Plugins.lambda$withClassLoader$1(Plugins.java:237)
at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:834)
Caused by: org.apache.kafka.connect.errors.ConnectException: Error inserting record in topic mysql-hbase-test.test.t1 with offset 4 and partition 0 to table example_table:
at io.confluent.connect.bigtable.client.BigtableClient.handleWriteErrors(BigtableClient.java:515)
at io.confluent.connect.bigtable.client.BigtableClient.insert(BigtableClient.java:287)
at io.confluent.connect.bigtable.client.InsertWriter.writeInserts(InsertWriter.java:58)
at io.confluent.connect.bigtable.client.InsertWriter.write(InsertWriter.java:48)
at io.confluent.connect.bigtable.BaseBigtableSinkTask.put(BaseBigtableSinkTask.java:100)
at org.apache.kafka.connect.runtime.WorkerSinkTask.deliverMessages(WorkerSinkTask.java:601)
... 11 more
Caused by: org.apache.kafka.connect.errors.ConnectException: Row with specified row key already exists.
... 16 more
可以看到报错为:Row with specified row key already exists.
原因是 sink connector 将 MySQL 的 update、delete 都转化为 Hbase 数据插入,但自动识别的 rowkey 为 MySQL 表的主键,而该 rowkey 已经存在,所以插入报错了。这种同步行为需要注意。