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终身学习网 > IT > 前沿技术 > 大数据 > 大数据系统

两只松鼠的故事:flink-connector-opengauss

大数据系统 更新时间:发布时间: 百科书网 趣学号

感谢松鼠会大佬的再三邀请。对我来说这算是一篇命题作文,那么我的答案是什么呢?刚好我也很喜欢另外一个松鼠社区,那么就用两只松鼠来做答案吧,没错,Flink和OpenGauss就是我的答案:

  1. 手把手完成一次OpenGauss的安装

  2. 手把手构建 Flink connector opengauss

OpenGauss 安装

操作系统建议使用 openEuler20.03LTS ,注意不要使用sp包,可能会因为sp包依赖升级,而导致安装失败。使用下面安装脚本,我对官方脚本进行了一些修改,适合做单机实验,不再需要手动设置ip,而是直接将 eth0 的 ip 作为数据库ip使用。

#!/bin/bash

## Author:  贾军锋
## update:  dafei1288 @ 2021-09-27
## Date:    2021-04-15
## OS:       openEuler20.03LTS [最小硬件配置:2c/4G]
## Database:openGauss 2.0.0
## Description:一键式实现操作系统环境配置、openGauss软件下载、openGauss软件安装等步骤,帮助大家提升安装openGauss数据库效率
## Tips:     请确保操作系统可以连接外网

## 0.关闭virbr0网卡 [本地虚拟机标准化安装openEuler系统会默认存在virbr0网卡,删除该网卡以避免干扰数据库的安装]
## virsh net-destroy default
## virsh net-list
## echo "Net device virbr0 is disabled."


## 1.定义主机信息[请根据实际情况修改]
export MY_HOSTNAME=node1           ## 主机名
export MY_HOSTIP=$(ifconfig eth0 | grep 'inet' | awk '{print $2}' | head -1)     ## IP地址
export MY_SOFTWARE_DIRECTORY=/soft/openGauss      ## 软件包所在目录
export MY_XML=/soft/openGauss/clusterconfig.xml   ## 集群配置文件XML
export openGauss_Download_url=https://opengauss.obs.cn-south-1.myhuaweicloud.com/2.0.0/x86_openEuler/openGauss-2.0.0-openEuler-64bit-all.tar.gz  ## openGauss软件包下载地址

## 1. 设置主机名并配置hosts文件
hostnamectl set-hostname $MY_HOSTNAME
sed -i '/$MY_HOSTIP/d' /etc/hosts
echo "$MY_HOSTIP  $MY_HOSTNAME   #Gauss OM IP Hosts Mapping" >> /etc/hosts
cat /etc/hosts
echo "1.Configure /etc/hosts completed."
echo -e "n"

## 2. 关闭防火墙
systemctl disable firewalld.service
systemctl stop firewalld.service
echo "Firewalld " `systemctl status firewalld|grep Active`
echo "2.Disable firewalld service completed."
echo -e "n"

## 3. 关闭SELinux
sed -i '/^SELINUX=/d' /etc/selinux/config
echo "SELINUX=disabled" >> /etc/selinux/config
cat /etc/selinux/config|grep "SELINUX=disabled"
echo "3.Disable SELINUX completed."
echo -e "n"


## 4. 设置操作系统字符集编码
echo "LANG=en_US.UTF-8" >> /etc/profile
source /etc/profile
echo $LANG
echo "4.Configure encoding completed."
echo -e "n"

## 5. 设置操作系统时区
rm -fr /etc/localtime
ln -s /usr/share/zoneinfo/Asia/Shanghai  /etc/localtime
date -R
hwclock
echo "5.Configure Timezone completed."
echo -e "n"

## 6. 关闭SWAP分区 [对于2G内存的设备,建议待安装完毕后再打开SWAP以间接 “扩容内存容量”]
sed -i '/swap/s/^/#/' /etc/fstab
swapoff -a
free -m
echo "6.Close swap partition completed."
echo -e "n"


## 7. 配置SSH服务,关闭Banner,允许root远程登录
sed -i '/Banner/s/^/#/'  /etc/ssh/sshd_config
sed -i '/PermitRootLogin/s/^/#/'  /etc/ssh/sshd_config
echo -e "n" >> /etc/ssh/sshd_config
echo "Banner none " >> /etc/ssh/sshd_config
echo "PermitRootLogin yes" >> /etc/ssh/sshd_config
cat /etc/ssh/sshd_config |grep -v ^#|grep -E 'PermitRoot|Banner'
echo "7.Configure SSH Service completed."
echo -e "n"

## 8. 配置YUM源、安装依赖包、修改默认Python3版本
mkdir /etc/yum.repos.d/bak
mv /etc/yum.repos.d
public class OpenGaussRowConverter extends AbstractJdbcRowConverter {

    public OpenGaussRowConverter(RowType rowType) {
        super(rowType);
    }

    private static final long serialVersionUID = 1L;

    @Override
    public String converterName() {
        return "opengauss";
    }

}
构建 方言(Dialect)
package name.lijiaqi.dialect;

import name.lijiaqi.converter.OpenGaussRowConverter;
import org.apache.flink.connector.jdbc.dialect.JdbcDialect;
import org.apache.flink.connector.jdbc.internal.converter.JdbcRowConverter;
import org.apache.flink.table.api.TableSchema;
import org.apache.flink.table.api.ValidationException;
import org.apache.flink.table.types.logical.RowType;

import java.util.Optional;


public class OpenGaussDialect implements JdbcDialect {

    private static final long serialVersionUID = 1L;

    @Override
    public String dialectName() {
        return "opengauss";
    }

    @Override
    public boolean canHandle(String url) {
        return url.startsWith("jdbc:opengauss:");
    }

    @Override
    public JdbcRowConverter getRowConverter(RowType rowType) {
        return new OpenGaussRowConverter(rowType);
    }

    @Override
    public String getLimitClause(long l) {
        return null;
    }

    @Override
    public void validate(TableSchema schema) throws ValidationException {
        JdbcDialect.super.validate(schema);
    }

    @Override
    public Optional defaultDriverName() {
        return Optional.of("org.opengauss.Driver");
    }

    @Override
    public String quoteIdentifier(String identifier) {
        return "'" + identifier + "'";
    }

    @Override
    public Optional getUpsertStatement(String tableName, String[] fieldNames, String[] uniqueKeyFields) {
        return JdbcDialect.super.getUpsertStatement(tableName, fieldNames, uniqueKeyFields);
    }

    @Override
    public String getRowExistsStatement(String tableName, String[] conditionFields) {
        return JdbcDialect.super.getRowExistsStatement(tableName, conditionFields);
    }

    @Override
    public String getInsertIntoStatement(String tableName, String[] fieldNames) {
        return JdbcDialect.super.getInsertIntoStatement(tableName, fieldNames);
    }

    @Override
    public String getUpdateStatement(String tableName, String[] fieldNames, String[] conditionFields) {
        return JdbcDialect.super.getUpdateStatement(tableName, fieldNames, conditionFields);
    }

    @Override
    public String getDeleteStatement(String tableName, String[] conditionFields) {
        return JdbcDialect.super.getDeleteStatement(tableName, conditionFields);
    }

    @Override
    public String getSelectFromStatement(String tableName, String[] selectFields, String[] conditionFields) {
        return JdbcDialect.super.getSelectFromStatement(tableName, selectFields, conditionFields);
    }

}

注册动态表工厂(DynamicTableFactory),以及相关Sink程序

首先创建 OpenGaussSinkFunction 用于接受RowData数据输入,并将其Sink到配置的数据库中

package name.lijiaqi.table;

import org.apache.flink.api.common.serialization.SerializationSchema;
import org.apache.flink.connector.jdbc.internal.options.JdbcOptions;
import org.apache.flink.table.connector.ChangelogMode;
import org.apache.flink.table.connector.format.EncodingFormat;
import org.apache.flink.table.connector.sink.DynamicTableSink;
import org.apache.flink.table.connector.sink.SinkFunctionProvider;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.types.DataType;


public class OpenGaussDynamicTableSink implements DynamicTableSink {

    private final JdbcOptions jdbcOptions;
    private final EncodingFormat> encodingFormat;
    private final DataType dataType;

    public OpenGaussDynamicTableSink(JdbcOptions jdbcOptions, EncodingFormat> encodingFormat, DataType dataType) {
        this.jdbcOptions = jdbcOptions;
        this.encodingFormat = encodingFormat;
        this.dataType = dataType;
    }

    @Override
    public ChangelogMode getChangelogMode(ChangelogMode requestedMode) {
        return requestedMode;
    }

    @Override
    public SinkRuntimeProvider getSinkRuntimeProvider(Context context) {
        System.out.println("SinkRuntimeProvider");
        System.out.println(dataType);

//        SerializationSchema serializationSchema = encodingFormat.createRuntimeEncoder(context, dataType);
        OpenGaussSinkFunction gbasedbtSinkFunction = new OpenGaussSinkFunction(jdbcOptions,dataType);
        return SinkFunctionProvider.of(gbasedbtSinkFunction);
    }

    @Override
    public DynamicTableSink copy() {
        return new OpenGaussDynamicTableSink(jdbcOptions, encodingFormat, dataType);
    }

    @Override
    public String asSummaryString() {
        return "OpenGauss Table Sink";
    }

}

构建 OpenGaussDynamicTableSink

package name.lijiaqi.table;

import org.apache.flink.api.common.serialization.SerializationSchema;
import org.apache.flink.connector.jdbc.internal.options.JdbcOptions;
import org.apache.flink.table.connector.ChangelogMode;
import org.apache.flink.table.connector.format.EncodingFormat;
import org.apache.flink.table.connector.sink.DynamicTableSink;
import org.apache.flink.table.connector.sink.SinkFunctionProvider;
import org.apache.flink.table.data.RowData;
import org.apache.flink.table.types.DataType;


public class OpenGaussDynamicTableSink implements DynamicTableSink {

    private final JdbcOptions jdbcOptions;
    private final EncodingFormat> encodingFormat;
    private final DataType dataType;

    public OpenGaussDynamicTableSink(JdbcOptions jdbcOptions, EncodingFormat> encodingFormat, DataType dataType) {
        this.jdbcOptions = jdbcOptions;
        this.encodingFormat = encodingFormat;
        this.dataType = dataType;
    }

    @Override
    public ChangelogMode getChangelogMode(ChangelogMode requestedMode) {
        return requestedMode;
    }

    @Override
    public SinkRuntimeProvider getSinkRuntimeProvider(Context context) {
        System.out.println("SinkRuntimeProvider");
        System.out.println(dataType);

//        SerializationSchema serializationSchema = encodingFormat.createRuntimeEncoder(context, dataType);
        OpenGaussSinkFunction gbasedbtSinkFunction = new OpenGaussSinkFunction(jdbcOptions,dataType);
        return SinkFunctionProvider.of(gbasedbtSinkFunction);
    }

    @Override
    public DynamicTableSink copy() {
        return new OpenGaussDynamicTableSink(jdbcOptions, encodingFormat, dataType);
    }

    @Override
    public String asSummaryString() {
        return "OpenGauss Table Sink";
    }

}

构建OpenGaussDynamicTableFactory

package name.lijiaqi.table;


import name.lijiaqi.dialect.OpenGaussDialect;
import org.apache.flink.configuration.ConfigOption;
import org.apache.flink.configuration.ConfigOptions;
import org.apache.flink.configuration.ReadableConfig;
import org.apache.flink.connector.jdbc.internal.options.JdbcOptions;
import org.apache.flink.table.api.TableSchema;
import org.apache.flink.table.connector.sink.DynamicTableSink;
import org.apache.flink.table.connector.source.DynamicTableSource;
import org.apache.flink.table.factories.DynamicTableSinkFactory;
import org.apache.flink.table.factories.DynamicTableSourceFactory;
import org.apache.flink.table.factories.FactoryUtil;
import org.apache.flink.table.types.DataType;
import org.apache.flink.table.utils.TableSchemaUtils;

import java.util.HashSet;
import java.util.Set;


public class OpenGaussDynamicTableFactory implements DynamicTableSourceFactory, DynamicTableSinkFactory {

    public static final String IDENTIFIER = "opengauss";

    private static final String DRIVER_NAME = "org.opengauss.Driver";

    public static final ConfigOption URL = ConfigOptions
            .key("url")
            .stringType()
            .noDefaultValue()
            .withDescription("the jdbc database url.");

    public static final ConfigOption DRIVER = ConfigOptions
            .key("driver")
            .stringType()
            .defaultValue(DRIVER_NAME)
            .withDescription("the jdbc driver.");



    public static final ConfigOption TABLE_NAME = ConfigOptions
            .key("table-name")
            .stringType()
            .noDefaultValue()
            .withDescription("the jdbc table name.");

    public static final ConfigOption USERNAME = ConfigOptions
            .key("username")
            .stringType()
            .noDefaultValue()
            .withDescription("the jdbc user name.");

    public static final ConfigOption PASSWORD = ConfigOptions
            .key("password")
            .stringType()
            .noDefaultValue()
            .withDescription("the jdbc password.");

//    public static final ConfigOption FORMAT = ConfigOptions
//            .key("format")
//            .stringType()
//            .noDefaultValue()
//            .withDescription("the format.");

    @Override
    public String factoryIdentifier() {
        return IDENTIFIER;
    }

    @Override
    public Set> requiredOptions() {
        Set> requiredOptions = new HashSet<>();
        requiredOptions.add(URL);
        requiredOptions.add(TABLE_NAME);
        requiredOptions.add(USERNAME);
        requiredOptions.add(PASSWORD);
//        requiredOptions.add(FORMAT);
        return requiredOptions;
    }

    @Override
    public Set> optionalOptions() {
        return new HashSet<>();
    }

    @Override
    public DynamicTableSource createDynamicTableSource(Context context) {

        final FactoryUtil.TableFactoryHelper helper = FactoryUtil.createTableFactoryHelper(this, context);

        final ReadableConfig config = helper.getOptions();

        helper.validate();

        JdbcOptions jdbcOptions = getJdbcOptions(config);

        TableSchema physicalSchema = TableSchemaUtils.getPhysicalSchema(context.getCatalogTable().getSchema());

        return new OpenGaussDynamicTableSource(jdbcOptions, physicalSchema);

    }

    @Override
    public DynamicTableSink createDynamicTableSink(Context context) {

        final FactoryUtil.TableFactoryHelper helper = FactoryUtil.createTableFactoryHelper(this, context);

//        final EncodingFormat> encodingFormat = helper.discoverEncodingFormat(
//                SerializationFormatFactory.class,
//                FactoryUtil.FORMAT);

        final ReadableConfig config = helper.getOptions();

        // validate all options
        helper.validate();

        // get the validated options
        JdbcOptions jdbcOptions = getJdbcOptions(config);

        // derive the produced data type (excluding computed columns) from the catalog table
        final DataType dataType = context.getCatalogTable().getSchema().toPhysicalRowDataType();

        // table sink
        return new OpenGaussDynamicTableSink(jdbcOptions, null, dataType);
    }

    private JdbcOptions getJdbcOptions(ReadableConfig readableConfig) {
        final String url = readableConfig.get(URL);
        final JdbcOptions.Builder builder = JdbcOptions.builder()
                .setDriverName(DRIVER_NAME)
                .setDBUrl(url)
                .setTableName(readableConfig.get(TABLE_NAME))
                .setDialect(new OpenGaussDialect());

        readableConfig.getOptional(USERNAME).ifPresent(builder::setUsername);
        readableConfig.getOptional(PASSWORD).ifPresent(builder::setPassword);
        return builder.build();
    }

}

接下来通过SPI注册动态表:创建文件resourcesmeta-INFservicesorg.apache.flink.table.factories.Factory内容注册为name.lijiaqi.table.OpenGaussDynamicTableFactory

至此,我们的Flink connector 就构建完成,接下来,我们要使用其,来完成一个真正的项目。

CDC实战

下面是项目的整体架构图,我们通过flink cdc 从mysql获取变更数据,然后通过 flink sql 将数据 sink 到 opengauss里

 

接下来,我们看一下如何通过Flink SQL实现CDC ,只需3条SQL语句即可。

创建数据源表

       // 数据源表
       String sourceDDL =
               "CREATE TABLE mysql_binlog (n" +
                       " id INT NOT NULL,n" +
                       " name STRING,n" +
                       " description STRINGn" +
                       ") WITH (n" +
                       " 'connector' = 'mysql-cdc',n" +
                       " 'hostname' = 'localhost',n" +
                       " 'port' = '3306',n" +
                       " 'username' = 'flinkcdc',n" +
                       " 'password' = '123456',n" +
                       " 'database-name' = 'test',n" +
                       " 'table-name' = 'test_cdc'n" +
                       ")";

创建输出表,输出到opengauss ,这里 connector设置成opengauss

        String url = "jdbc:opengauss://172.27.71.161:26000/postgres";
        String userName = "jacky";
        String password = "123456";
        String gbasedbtSinkTable = "t1";
        // 输出目标表
        String sinkDDL =
                "CREATE TABLE test_cdc_sink (n" +
                        " id INT NOT NULL,n" +
                        " name STRING,n" +
                        " description STRING,n" +
                        " PRIMARY KEY (id) NOT ENFORCED n " +
                        ") WITH (n" +
                        " 'connector' = 'opengauss',n" +
//                       " 'driver' = 'com.gbasedbt.jdbc.Driver',n" +
                        " 'url' = '" + url + "',n" +
                        " 'username' = '" + userName + "',n" +
                        " 'password' = '" + password + "',n" +
                        " 'table-name' = '" + gbasedbtSinkTable + "' n" +
                        ")";

这里我们直接将数据汇入

       String transformSQL =
               "insert into test_cdc_sink select * from mysql_binlog";

完整参考代码

package name.lijiaqi;

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.EnvironmentSettings;
import org.apache.flink.table.api.SqlDialect;
import org.apache.flink.table.api.TableResult;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;

public class MysqlToOpenGaussMain {
    public static void main(String[] args) throws Exception {
        EnvironmentSettings fsSettings = EnvironmentSettings.newInstance()
                .useBlinkPlanner()
                .inStreamingMode()
                .build();
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env, fsSettings);



        tableEnv.getConfig().setSqlDialect(SqlDialect.DEFAULT);


        // 数据源表
        String sourceDDL =
                "CREATE TABLE mysql_binlog (n" +
                        " id INT NOT NULL,n" +
                        " name STRING,n" +
                        " description STRING,n" +
                        " PRIMARY KEY (id) NOT ENFORCED" +
                        ") WITH (n" +
                        " 'connector' = 'mysql-cdc',n" +
                        " 'hostname' = 'localhost',n" +
                        " 'port' = '3306',n" +
                        " 'username' = 'flinkcdc',n" +
                        " 'password' = '123456',n" +
                        " 'database-name' = 'test',n" +
                        " 'table-name' = 'test_cdc'n" +
                        ")";


        String url = "jdbc:opengauss://172.27.71.161:26000/postgres";
        String userName = "jacky";
        String password = "123456";
        String gbasedbtSinkTable = "t1";
        // 输出目标表
        String sinkDDL =
                "CREATE TABLE test_cdc_sink (n" +
                        " id INT NOT NULL,n" +
                        " name STRING,n" +
                        " description STRING,n" +
                        " PRIMARY KEY (id) NOT ENFORCED n " +
                        ") WITH (n" +
                        " 'connector' = 'opengauss',n" +
//                       " 'driver' = 'com.gbasedbt.jdbc.Driver',n" +
                        " 'url' = '" + url + "',n" +
                        " 'username' = '" + userName + "',n" +
                        " 'password' = '" + password + "',n" +
                        " 'table-name' = '" + gbasedbtSinkTable + "' n" +
                        ")";

        String transformSQL =
                "insert into test_cdc_sink select * from mysql_binlog";

        tableEnv.executeSql(sourceDDL);
        tableEnv.executeSql(sinkDDL);
        TableResult result = tableEnv.executeSql(transformSQL);

        result.print();
        env.execute("sync-flink-cdc");
    }

}

运行结果

 

工程地址如下 , 欢迎start,for,pull requests

https://github.com/dafei1288/flink-connector-opengauss

- END -

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