Canal安装使用
canal 1.1.1版本之后,server端可以通过简单的配置就能将订阅到的数据投递到kafka中
https://github.com/alibaba/canal/releases/download/canal-1.1.5/canal.deployer-1.1.5.tar.gz 解压即可(遇到了一些问题,改用低版本)
1.0.24下载使用:下载1.0.24的(Release v1.0.24 · alibaba/canal · GitHub)这个包 canal.deployer-1.0.24.tar.gz
启动:去bin目录下点击start.bat即可
开启mysql的binlog日志
首先看是否开启 show variables like 'log_bin'; OFF状态
然后修改my.ini文件,需要my.ini位于:C:\ProgramData\MySQL\MySQL Server 5.7,而不是位于:C:\Program Files\MySQL\MySQL Server 5.7
在最后加上两行
然后去任务管理器重启mysql,就能达到上面开启了binlog的效果
在mysql这边创建canal用户
CREATE USER canal IDENTIFIED BY 'canal';
GRANT SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'canal'@'%';
GRANT ALL PRIVILEGES ON *.* TO 'canal'@'%' ;
FLUSH PRIVILEGES;
修改 vi canal/conf/example/instance.properties
## mysql serverId
#这一段一定要和my.ini下面的不一样
canal.instance.mysql.slaveId = 1234
# position info
# 监听的ip和端口 localhost:3306 也可以
canal.instance.master.address = 10.168.12.43:3306
canal.instance.master.journal.name =mysql-bin.000003
canal.instance.master.position =
canal.instance.master.timestamp =
……
#就创建了canal用户和密码
canal.instance.dbUsername = canal
canal.instance.dbPassword = canal
#默认是监控testcanal库
canal.instance.defaultDatabaseName =testcanal
canal.instance.connectionCharset = UTF-8
# table regex
#下面这样的写法代表监控所有的表
canal.instance.filter.regex = .*\\..*
#可以设置监控的哪些表 格式:库名.表名,
#canal.instance.filter.regex = testcanal.test1,testcanal.test2,testcanal.wtf
写代码测试下
依赖
<dependency>
<groupId>com.alibaba.otter</groupId>
<artifactId>canal.client</artifactId>
<version>1.0.24</version>
</dependency>
package org.example;
import com.alibaba.otter.canal.client.CanalConnector;
import com.alibaba.otter.canal.client.CanalConnectors;
import com.alibaba.otter.canal.protocol.CanalEntry;
import com.alibaba.otter.canal.protocol.Message;
import com.google.protobuf.InvalidProtocolBufferException;
import java.net.InetSocketAddress;
import java.util.ArrayList;
import java.util.List;
import java.util.UUID;
public class CanalClinettest {
public static void main(String args[]) {
// 创建链接 这个ip是你虚拟机的ip
CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress("localhost",11111), "example", "canal", "canal");
int batchSize = 1000;
int emptyCount = 0;
try {
connector.connect();
connector.subscribe(".*\\..*");
connector.rollback();
int totalEmptyCount = 120;
while (emptyCount < totalEmptyCount) {
Message message = connector.getWithoutAck(batchSize); // 获取指定数量的数据
long batchId = message.getId();
int size = message.getEntries().size();
if (batchId == -1 || size == 0) {
emptyCount++;
System.out.println("empty count : " + emptyCount);
try {
Thread.sleep(1000);
} catch (InterruptedException e) {
}
} else {
emptyCount = 0;
printEntry(message.getEntries());
}
connector.ack(batchId); // 提交确认
}
System.out.println("empty too many times, exit");
} finally {
connector.disconnect();
}
}
private static void printEntry(List<CanalEntry.Entry> entrys) {
for (CanalEntry.Entry entry : entrys) {
if (entry.getEntryType() == CanalEntry.EntryType.TRANSACTIONBEGIN || entry.getEntryType() == CanalEntry.EntryType.TRANSACTIONEND) {
continue;
}
CanalEntry.RowChange rowChage = null;
try {
rowChage = CanalEntry.RowChange.parseFrom(entry.getStoreValue());
} catch (Exception e) {
throw new RuntimeException("ERROR ## parser of eromanga-event has an error , data:" + entry.toString(),
e);
}
CanalEntry.EventType eventType = rowChage.getEventType();
System.out.println(String.format("================> binlog[%s:%s] , name[%s,%s] , eventType : %s",
entry.getHeader().getLogfileName(), entry.getHeader().getLogfileOffset(),
entry.getHeader().getSchemaName(), entry.getHeader().getTableName(),
eventType));
for (CanalEntry.RowData rowData : rowChage.getRowDatasList()) {
if (eventType == CanalEntry.EventType.DELETE) {
printColumn(rowData.getBeforeColumnsList());
} else if (eventType == CanalEntry.EventType.INSERT) {
printColumn(rowData.getAfterColumnsList());
} else {
System.out.println("-------> before");
printColumn(rowData.getBeforeColumnsList());
System.out.println("-------> after");
printColumn(rowData.getAfterColumnsList());
}
}
}
}
private static void printColumn(List<CanalEntry.Column> columns) {
for (CanalEntry.Column column : columns) {
System.out.println(column.getName() + " : " + column.getValue() + " update=" + column.getUpdated());
}
}
}
测试下我的代码,增加表数据
修改数据后
删除数据后
Kakfa安装使用
Kafka安装使用需要JDK,Zk,Kafka
1.安装JKD8
不多说了
2. 安装ZOOKEEPER
Kafka的运行依赖于Zookeeper,所以在运行Kafka之前我们需要安装并运行Zookeeper
kafka0.9对应Zk3.4.6
2.1 下载安装文件: http://zookeeper.apache.org/releases.html
2.2 解压文件
2.3 打开zookeeper-3.4.6\conf,把zoo_sample.cfg重命名成zoo.cfg
2.4 从文本编辑器里打开zoo.cfg
2.5 把dataDir的值改成“D:\\workspace\\winZk\\zookeeper-3.4.6”
2.6 添加如下系统变量:
- ZOOKEEPER_HOME: D:\workspace\winZk\zookeeper-3.4.6(zookeeper目录)
- Path: 在现有的值后面添加 ";%ZOOKEEPER_HOME%\bin;"
2.7 运行Zookeeper: 打开cmd然后执行 zkserver
cmd 窗口不要关闭
3. 安装并运行KAFKA
3.1 下载安装文件: Apache Kafka
3.2 解压文件
3.3 打开kafka_2.11-2.0.0\config
3.4 从文本编辑器里打开 server.properties
3.5 把 log.dirs的值改成 “D:\\workspace\\winKafka\\kafka_2.11-0.9.0.1\\log”
listeners=PLAINTEXT://localhost:9092 (加上localhost,监听)
3.6 打开cmd
3.7 进入kafka文件目录: cd D:\workspace\winKafka\kafka_2.11-0.9.0.1\bin\windows(kafka目录)
3.8 启动:输入并执行
kafka-server-start.bat D:\workspace\winKafka\kafka_2.11-0.9.0.1\config\server.properties
md 窗口不要关闭
4. 创建TOPICS
4.1 打开cmd 并进入cd D:\workspace\winKafka\kafka_2.11-0.9.0.1\bin\windows
4.2 创建一个topic:
kafka-topics.bat --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic canal
5. 打开一个PRODUCER:
cd D:\workspace\winKafka\kafka_2.11-0.9.0.1\bin\windows
kafka-console-producer.bat --broker-list localhost:9092 --topic canal
6. 打开一个CONSUMER:
cd D:\workspace\winKafka\kafka_2.11-0.9.0.1\bin\windows kafka-console-consumer.bat --bootstrap-server localhost:9092 --topic canal --from-beginning 如果显示缺少ZK信息
kafka-console-consumer.bat --zookeeper localhost:2181 --bootstrap-server localhost:9092 --topic canal --from-beginning
最后在生产者这边编辑数据,可以看见消费者也有数据了
Flink安装使用
https://flink.apache.org/downloads.html地址下去下载flink
找到 flink-1.8.1-bin-scala_2.11.tgz 这个安装包,Flink1.8对应的scala2.11版本
启动:进入bin目录,点击start-cluster.bat
然后进入地址http://localhost:8081/这样就好了
运行自带的example程序:
进入cmd,目录切到bin目录下 先直接 D:切到D盘
flink.bat run ../examples/batch/WordCount.jar 运行example包
另一种上传jar包运行的方式
Submit new job->Add New
安装Spark
安装解压
设置环境变量
cmd输入spark-shell,成功安装(暂时不装hadoop)