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Seatunnel?Docker image镜像制作
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#下载 seatunnel
- export version="2.3.3"
- wget "Index of /dist/seatunnel${version}/apache-seatunnel-${version}-bin.tar.gz"
- tar -xzvf "apache-seatunnel-${version}-bin.tar.gz"
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#解压
- tar -xzvf apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz
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#配置connector, config/plugin_config 根据需要配置，Demo只需要以下两个即可
- --seatunnel-connectors--
- connector-fake
- connector-console
- --end--
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#执行插件安装
- sh bin/install-plugin.sh 2.3.3
- #执行后，会自动下载maven包到 ~/.m2/wrapper/dists/apache-maven-3.8.4-bin/目录中
- #连接到 Central Repository:，下载传统比较慢
- #需要一下镜像，全用本地的setting.xml
- #:~/.m2/wrapper/dists/apache-maven-3.8.4-bin/52ccbt68d252mdldqsfsn03jlf/apache-maven-3.8.4/conf#
- #再重新执行 sh bin/install-plugin.sh 2.3.3 使用国内镜像，例如：阿里云，此时就很快了
- #bin/install-plugin.sh 会将对就的jar包复制到 connectors/seatunnel和lib目录下
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#修改apache-seatunnel-${version}-bin目录下的配置文件
- #编写plugin_config文件
- vi config/plugin_config
- --seatunnel-connectors--
- connector-fake
- connector-console
- --end--
- #编写批处理配置文件
- vi config/v2.batch.config.template
env {
execution.parallelism = 1
job.mode = "BATCH"
}
source {
FakeSource {
result_table_name = "fake"
row.num = 16
schema = {
fields {
name = "string"
age = "int"
}
}
}
}
transform {
FieldMapper {
source_table_name = "fake"
result_table_name = "fake1"
field_mapper = {
age = age
name = new_name
}
}
}
sink {
Console {
source_table_name = "fake1"
}
}
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#下载openjdk:8镜像
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#创建Dockerfile
- vi dockerfile-seatunnel-2.3.3
- #内容 当前目录下的seatunnel包、lib目录、connectors目录复制到镜像中
- FROM openjdk:8
- ENV SEATUNNEL_VERSION="2.3.3"
- COPY ./apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz /opt/apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz
- WORKDIR /opt
- RUN tar -xzvf apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz
- RUN mv apache-seatunnel-${SEATUNNEL_VERSION} seatunnel
- RUN rm -f /opt/apache-seatunnel-${SEATUNNEL_VERSION}-bin.tar.gz
- WORKDIR /opt/seatunnel
- ENTRYPOINT ["sh","-c"," bin/seatunnel.sh --config $config -e local"]
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#build镜像
- docker build -t seatunnel:2.3.3 -f dockerfile-seatunnel-2.3.3 .
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#使用镜像后台运行
- docker run -d -p 9000:9000 --restart=unless-stopped --name seatunnel -d --hostname seatunnel-node1 --network my-net -e config="/data/seatunnel.batch.conf" -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/v2.batch.config.template:/data/seatunnel.batch.conf -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/plugin_config:/opt/seatunnel/plugin_config -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/lib:/opt/seatunnel/lib -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/plugins:/opt/seatunnel/plugins -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/connectors/seatunnel:/opt/seatunnel/connectors/seatunnel -v /etc/localtime:/etc/localtime seatunnel:2.3.3
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#使用镜像临时测试
- docker run --name seatunnel --hostname seatunnel-node1 --network my-net -e config="/data/seatunnel.batch.conf" -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/v2.batch.config.template:/data/seatunnel.batch.conf -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/plugin_config:/opt/seatunnel/plugin_config -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/lib:/opt/seatunnel/lib -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/plugins:/opt/seatunnel/plugins -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/connectors/seatunnel:/opt/seatunnel/connectors/seatunnel -v /etc/localtime:/etc/localtime seatunnel:2.3.3
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#使用JDBC模式，同步两个库的数据
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- --seatunnel-connectors--
- connector-fake
- connector-console
- connector-jdbc
- --end--
- 安装插件，安装过程中会自动把相应的jar包复制到对应的目录中
- sh bin/install-plugin.sh 2.3.3
- 修改v2.streaming.conf.template配置
# Defining the runtime environment
env {
# You can set flink configuration here
execution.parallelism = 1
job.mode = "BATCH"
}
source{
Jdbc {
url = "jdbc:mysql://mysql:3306/test"
driver = "com.mysql.cj.jdbc.Driver"
connection_check_timeout_sec = 100
user = "root"
password = "123456"
query = "select * from help_keyword_1 limit 2"
}
}
transform {
# If you would like to get more information about how to configure seatunnel and see full list of transform plugins,
# please go to https://seatunnel.apache.org/docs/transform-v2/sql
}
sink {
# Console {}
jdbc {
url = "jdbc:mysql://mysql:3306/test2"
driver = "com.mysql.cj.jdbc.Driver"
user = "root"
password = "123456"
query = "insert into help_keyword_1(help_keyword_1_id,name) values(?,?)"
}
}
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#配置MYSQL-CDC通过binlog实时数据同步
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- MYSQL开启binlog
- 开始CDC同步
- 修改配置文件，与batch不同，是conf不是config
- vi v2.streaming.conf.template
- 内容如下
env {
# You can set SeaTunnel environment configuration here
execution.parallelism = 1
job.mode = "STREAMING"
# 10秒检查一次，可以适当加大这个值
checkpoint.interval = 10000
#execution.checkpoint.interval = 10000
#execution.checkpoint.data-uri = "hdfs://localhost:9000/checkpoint"
}
# 配置数据源
source {
MySQL-CDC {
# 数据库账号
username = "root"
password = "123456"
# 源表，格式：数据库名.表名
table-names = ["test.help_keyword_1"]
base-url = "jdbc:mysql://mysql:3306/test"
}
}
# 配置目标库
sink {
jdbc {
url = "jdbc:mysql://mysql:3306/test2"
driver = "com.mysql.cj.jdbc.Driver"
user = "root"
password = "123456"
generate_sink_sql = true
# 目标数据库名
database = "test2"
# 目标表名
table = "help_keyword_1"
# 主键名称
primary_keys = ["help_keyword_1_id"]
}
}
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- 临时启动容器
- docker run --name seatunnel --hostname seatunnel-node1 --network my-net -e config="/data/seatunnel.streaming.conf" -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/v2.streaming.conf.template:/data/seatunnel.streaming.conf -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/config/plugin_config:/opt/seatunnel/plugin_config -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/lib:/opt/seatunnel/lib -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/plugins:/opt/seatunnel/plugins -v /mnt/sda1/seatunnel/apache-seatunnel-2.3.3/connectors/seatunnel:/opt/seatunnel/connectors/seatunnel -v /etc/localtime:/etc/localtime seatunnel:2.3.3