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    【Flink-Kafka-To-ClickHouse】使用 Flink 实现 Kafka 数据写入 ClickHouse
    作者：mmseoamin日期：2024-02-05

    【Flink-Kafka-To-ClickHouse】使用 Flink 实现 Kafka 数据写入 ClickHouse

    • 1）导入相关依赖
    • 2）代码实现
      • 2.1.resources
        • 2.1.1.appconfig.yml
        • 2.1.2.log4j.properties
        • 2.1.3.log4j2.xml
        • 2.1.4.flink_backup_local.yml
        • 2.2.utils
          • 2.2.1.DBConn
          • 2.2.2.CommonUtils
          • 2.2.3.RemoteConfigUtil
          • 2.2.4.ClickhouseUtil
          • 2.3.flatmap
            • 2.3.1.FlatMapFunction
            • 2.4.sink
              • 2.4.1.ClickHouseCatalog
              • 2.5.Kafka2ClickHouse
                • 2.5.1.Kafka2chApp
                • 2.5.2.Kafka2Ck-ODS

                  需求描述：

                  1、数据从 Kafka 写入 ClickHouse。

                  2、相关配置存放于 Mysql 中，通过 Mysql 进行动态读取。

                  3、此案例中的 Kafka 是进行了 Kerberos 安全认证的，如果不需要自行修改。

                  4、先在 ClickHouse 中创建表然后动态获取 ClickHouse 的表结构。

                  5、Kafka 数据为 Json 格式，通过 FlatMap 扁平化处理后，根据表结构封装到 Row 中后完成写入。

                  6、写入时转换成临时视图模式，利用 Flink-Sql 实现数据写入。

                  7、本地测试时可以编辑 resources.flink_backup_local.yml 通过 ConfigTools.initConf 方法获取配置。

                  1）导入相关依赖

                  这里的依赖比较冗余，大家可以根据各自需求做删除或保留。

                  

    4.0.0
    gaei.cn.x5l
    kafka2ch
    1.0.0
    
        2.3.3
        3.1.1
        3.0.2
        2.12.10
        8
        8
        UTF-8
        1.14.0
        2.12
        1.8
        ${target.java.version}
        ${target.java.version}
        2.17.2
        3.1.2
        3.1.2
    
    
        
        
            org.apache.flink
            flink-java
            ${flink.version}
            provided
        
        
            org.apache.flink
            flink-streaming-java_${scala.binary.version}
            ${flink.version}
            provided
        
        
            org.apache.flink
            flink-clients_${scala.binary.version}
            ${flink.version}
            provided
        
        
        
        
            org.apache.flink
            flink-table-api-java-bridge_${scala.binary.version}
            1.14.0
            provided
        
        
        
            org.apache.flink
            flink-table-planner_${scala.binary.version}
            ${flink.version}
            provided
        
        
            org.apache.flink
            flink-streaming-scala_${scala.binary.version}
            ${flink.version}
            provided
        
        
            org.apache.flink
            flink-table-common
            ${flink.version}
            provided
        
        
            org.apache.flink
            flink-cep_${scala.binary.version}
            ${flink.version}
        
        
        
        
        
            org.apache.flink
            flink-json
            ${flink.version}
            provided
        
        
            org.apache.flink
            flink-csv
            ${flink.version}
            provided
        
        
        





        
        
        
            org.apache.flink
            flink-state-processor-api_${scala.binary.version}
            ${flink.version}
            provided
        
        
        
        
        
        
        
        
        





        
            commons-lang
            commons-lang
            2.5
            compile
        
        
        
        
        
        
        
        
        
        
            org.apache.flink
            flink-runtime-web_${scala.binary.version}
            ${flink.version}
            provided
        
        
        
        
            org.apache.logging.log4j
            log4j-slf4j-impl
            ${log4j.version}
            runtime
        
        
            org.apache.logging.log4j
            log4j-api
            ${log4j.version}
            runtime
        
        
            org.apache.logging.log4j
            log4j-core
            ${log4j.version}
            runtime
        
        
        
            org.apache.hadoop
            hadoop-client
            3.3.1
            
            
            
            
            
            
        
        
        
        
        
        
        
        
        
            org.apache.hadoop
            hadoop-auth
            ${hadoop.version}
        
        
        
            org.apache.flink
            flink-statebackend-rocksdb_${scala.binary.version}
            ${flink.version}
            provided
        
        
        
            com.alibaba
            fastjson
            1.1.23
        
        
            org.projectlombok
            lombok
            1.16.18
            provided
        
        
            gaei.cn.x5l.bigdata.common
            x5l-bigdata-common
            1.3-SNAPSHOT
            
                
                    org.apache.logging.log4j
                    log4j-core
                
                
                    org.apache.logging.log4j
                    log4j-api
                
                
                    org.apache.logging.log4j
                    log4j-slf4j-impl
                
            
        
        
        
        
        
        
        
        
            org.apache.flink
            flink-sql-connector-kafka_${scala.binary.version}
            ${flink.version}
        
        
            org.apache.flink
            flink-connector-jdbc_${scala.binary.version}
            ${flink.version}
        
        
            org.apache.flink
            flink-connector-clickhouse
            1.14.3-SNAPSHOT
            
            
        
        
            gaei.cn.x5l
            tsp-gb-decode
            1.0.0
        
        
            org.jyaml
            jyaml
            1.3
        
        
            mysql
            mysql-connector-java
            5.1.44
            runtime
        
        
            gaei.cn.x5l.flink.common
            x5l-flink-common
            1.4-SNAPSHOT
        
    
    
        
            
            
                org.apache.maven.plugins
                maven-compiler-plugin
                3.1
                
                    ${target.java.version}
                    ${target.java.version}
                
            
            
            
            
                org.apache.maven.plugins
                maven-shade-plugin
                3.0.0
                
                    
                    
                        package
                        
                            shade
                        
                        
                            
                                
                                    org.apache.flink:force-shading
                                    com.google.code.findbugs:jsr305
                                    org.slf4j:*
                                    org.apache.logging.log4j:*
                                    org.apache.flink:flink-runtime-web_2.11
                                
                            
                            
                                
                                    
                                    *:*
                                    
                                        META-INF/*.SF
                                        META-INF/*.DSA
                                        META-INF/*.RSA
                                    
                                
                            
                            
                                
                                    com.owp.flink.kafka.KafkaSourceDemo
                                
                                
                                
                                
                                
                            
                        
                    
                
            
        
        
            
                
                
                    org.eclipse.m2e
                    lifecycle-mapping
                    1.0.0
                    
                        
                            
                                
                                    
                                        org.apache.maven.plugins
                                        maven-shade-plugin
                                        [3.0.0,)
                                        
                                            shade
                                        
                                    
                                    
                                        
                                    
                                
                                
                                    
                                        org.apache.maven.plugins
                                        maven-compiler-plugin
                                        [3.1,)
                                        
                                            testCompile
                                            compile

                  2）代码实现

                  2.1.resources

                  2.1.1.appconfig.yml

                  mysql.url: "jdbc:mysql://1.1.1.1:3306/test?useSSL=false&useUnicode=true&characterEncoding=UTF8&connectTimeout=60000&socketTimeout=60000"
mysql.username: "test"
mysql.password: "123456"
mysql.driver: "com.mysql.jdbc.Driver"

                  2.1.2.log4j.properties

                  log4j.rootLogger=info, stdout
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
log4j.appender.stdout.layout.ConversionPattern=%-4r [%t] %-5p %c %x - %m%n

                  2.1.3.log4j2.xml

                  2.1.4.flink_backup_local.yml

                  clickhouse:
  connector: 'clickhouse'
  database-name: 'dwd'
  driver: 'ru.yandex.clickhouse.ClickHouseDriver'
  jdbcurl: 'jdbc:clickhouse://10.1.1.1:8123/dwd?socket_timeout=480000'
  password: 'X8v@123456!%$'
  reissueInterval: 3
  sink.batch-size: '200000'
  sink.flush-interval: '3000000'
  sink.ignore-delete: 'true'
  sink.max-retries: '3'
  sink.partition-key: 'toYYYYMMDD(sample_date_time)'
  sink.partition-strategy: 'balanced'
  table-name: 'test_local'
  url: 'clickhouse://10.1.1.1:8123,10.1.1.1:8123,10.1.1.1:8123,10.1.1.1:8123,10.1.1.1:8123'
  username: 'test'
hdfs:
  checkPointPath: 'hdfs://nameserver/user/flink/rocksdbcheckpoint'
  checkpointTimeout: 360000
  checkpointing: 300000
  maxConcurrentCheckpoints: 1
  minPauseBetweenCheckpoints: 10000
  restartInterval: 60
  restartStrategy: 3
kafka-consumer:
  prop:
    auto.offset.reset: 'earliest'
    bootstrap.servers: 'kfk01:9092,kfk02:9092,kfk03:9092'
    enable.auto.commit: 'false'
    fetch.max.bytes: '52428700'
    group.id: 'test'
    isKerberized: '1'
    keytab: 'D:/keytab/test.keytab'
    krb5Conf: 'D:/keytab/krb5.conf'
    max.poll.interval.ms: '300000'
    max.poll.records: '1000'
    principal: 'test@PRE.TEST.COM'
    security_protocol: 'SASL_PLAINTEXT'
    serviceName: 'kafka'
    session.timeout.ms: '600000'
    useTicketCache: 'false'
  topics: 'topicA,topicB'
kafka-producer:
  defaultTopic: 'kafka2hive_error'
  prop:
    acks: 'all'
    batch.size: '1048576'
    bootstrap.servers: 'kfk01:9092,kfk02:9092,kfk03:9092'
    compression.type: 'lz4'
    key.serializer: 'org.apache.kafka.common.serialization.StringSerializer'
    retries: '3'
    value.serializer: 'org.apache.kafka.common.serialization.StringSerializer'

                  2.2.utils

                  2.2.1.DBConn

                  import java.sql.*;
public class DBConn {
    private static final String driver = "com.mysql.jdbc.Driver";		//mysql驱动
    private static Connection conn = null;
    private static PreparedStatement ps = null;
    private static ResultSet rs = null;
    private static final CallableStatement cs = null;
    /**
     * 连接数据库
     * @return
     */
    public static Connection conn(String url,String username,String password) {
        Connection conn = null;
        try {
            Class.forName(driver);  //加载数据库驱动
            try {
                conn = DriverManager.getConnection(url, username, password);  //连接数据库
            } catch (SQLException e) {
                e.printStackTrace();
            }
        } catch (ClassNotFoundException e) {
            e.printStackTrace();
        }
        return conn;
    }
    /**
     * 关闭数据库链接
     * @return
     */
    public static void close() {
        if(conn != null) {
            try {
                conn.close();  //关闭数据库链接
            } catch (SQLException e) {
                e.printStackTrace();
            }
        }
    }
}

                  2.2.2.CommonUtils

                  @Slf4j
public class CommonUtils {
    public static StreamExecutionEnvironment setCheckpoint(StreamExecutionEnvironment env) throws IOException {
//        ConfigTools.initConf("local");
        Map hdfsMap = (Map) ConfigTools.mapConf.get("hdfs");
        env.enableCheckpointing(((Integer) hdfsMap.get("checkpointing")).longValue(), CheckpointingMode.EXACTLY_ONCE);//这里会造成offset提交的延迟
        env.getCheckpointConfig().setMinPauseBetweenCheckpoints(((Integer) hdfsMap.get("minPauseBetweenCheckpoints")).longValue());
        env.getCheckpointConfig().setCheckpointTimeout(((Integer) hdfsMap.get("checkpointTimeout")).longValue());
        env.getCheckpointConfig().setMaxConcurrentCheckpoints((Integer) hdfsMap.get("maxConcurrentCheckpoints"));
        env.getCheckpointConfig().enableExternalizedCheckpoints(CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION);
        env.setRestartStrategy(RestartStrategies.fixedDelayRestart(
                (Integer) hdfsMap.get("restartStrategy"), // 尝试重启的次数，不宜过小，分布式任务很容易出问题（正常情况），建议3-5次
                Time.of(((Integer) hdfsMap.get("restartInterval")).longValue(), TimeUnit.SECONDS) // 延时
        ));
        //设置可容忍的检查点失败数，默认值为0表示不允许容忍任何检查点失败
        env.getCheckpointConfig().setTolerableCheckpointFailureNumber(2);
        //设置状态后端存储方式
        env.setStateBackend(new RocksDBStateBackend((String) hdfsMap.get("checkPointPath"), true));
//        env.setStateBackend(new FsStateBackend((String) hdfsMap.get("checkPointPath"), true));
//        env.setStateBackend(new HashMapStateBackend(());
        return env;
    }
    public static FlinkKafkaConsumer> getKafkaConsumer(Map kafkaConf) throws IOException {
        String[] topics = ((String) kafkaConf.get("topics")).split(",");
        log.info("监听的topic: {}", topics);
        Properties properties = new Properties();
        Map kafkaProp = (Map) kafkaConf.get("prop");
        for (String key : kafkaProp.keySet()) {
            properties.setProperty(key, kafkaProp.get(key).toString());
        }
        if (!StringUtils.isBlank((String) kafkaProp.get("isKerberized")) && "1".equals(kafkaProp.get("isKerberized"))) {
            System.setProperty("java.security.krb5.conf", kafkaProp.get("krb5Conf"));
            properties.put("security.protocol", kafkaProp.get("security_protocol"));
            properties.put("sasl.jaas.config", "com.sun.security.auth.module.Krb5LoginModule required "
                    + "useTicketCache=" + kafkaProp.get("useTicketCache") + " "
                    + "serviceName=\"" + kafkaProp.get("serviceName") + "\" "
                    + "useKeyTab=true "
                    + "keyTab=\"" + kafkaProp.get("keytab").toString() + "\" "
                    + "principal=\"" + kafkaProp.get("principal").toString() + "\";");
        }
        properties.put("key.serializer", "org.apache.flink.kafka.shaded.org.apache.kafka.common.serialization.ByteArrayDeserializer");
        properties.put("value.serializer", "org.apache.flink.kafka.shaded.org.apache.kafka.common.serialization.ByteArrayDeserializer");
        FlinkKafkaConsumer> consumerRecordFlinkKafkaConsumer = new FlinkKafkaConsumer>(Arrays.asList(topics), new KafkaDeserializationSchema>() {
            @Override
            public TypeInformation> getProducedType() {
                return TypeInformation.of(new TypeHint>() {
                });
            }
            @Override
            public boolean isEndOfStream(ConsumerRecord stringStringConsumerRecord) {
                return false;
            }
            @Override
            public ConsumerRecord deserialize(ConsumerRecord record) throws Exception {
                return new ConsumerRecord(
                        record.topic(),
                        record.partition(),
                        record.offset(),
                        record.timestamp(),
                        record.timestampType(),
                        record.checksum(),
                        record.serializedKeySize(),
                        record.serializedValueSize(),
                        new String(record.key() == null ? "".getBytes(StandardCharsets.UTF_8) : record.key(), StandardCharsets.UTF_8),
                        new String(record.value() == null ? "{}".getBytes(StandardCharsets.UTF_8) : record.value(), StandardCharsets.UTF_8));
            }
        }, properties);
        return consumerRecordFlinkKafkaConsumer;
    }
}

                  2.2.3.RemoteConfigUtil

                  public class RemoteConfigUtil {
    private static final Logger log = LoggerFactory.getLogger(RemoteConfigUtil.class);
    private static Connection conn = null;
    private static PreparedStatement ps = null;
    private static ResultSet rs = null;
    public static Map mapConf;
    public RemoteConfigUtil() {
    }
    public static Map getByAppNameAndConfigName(String appName, String ConfigName) throws SQLException {
        if (mapConf != null && mapConf.size() > 0) {
            return mapConf;
        } else {
            Map ymlMap = LocalConfigUtil.getYmlMap("/appconfig");
            String username = (String)ymlMap.get("mysql.username");
            String password = (String)ymlMap.get("mysql.password");
            String url = (String)ymlMap.get("mysql.url");
            String driver = (String)ymlMap.get("mysql.driver");
            Connection conn = JdbcUtil.getConnection(url, username, password, driver);
            PreparedStatement preparedStatement = null;
            Map var14;
            try {
                String sql = "select config_context from base_app_config where app_name = '%s' and config_name = '%s'";
                preparedStatement = conn.prepareStatement(String.format(sql, appName, ConfigName));
                ResultSet rs = preparedStatement.executeQuery();
                String config_context;
                for(config_context = ""; rs.next(); config_context = rs.getString("config_context")) {
                }
                rs.close();
                log.info("配置信息config_context: {}", config_context);
                if (StringUtils.isNotBlank(config_context)) {
                    System.out.println(JSONObject.toJSONString(JSONObject.parseObject(config_context), new SerializerFeature[]{SerializerFeature.PrettyFormat}));
                }
                mapConf = (Map)JSON.parseObject(config_context, Map.class);
                var14 = mapConf;
            } finally {
                if (preparedStatement != null) {
                    preparedStatement.close();
                }
                if (conn != null) {
                    conn.close();
                }
            }
            return var14;
        }
    }
}

                  2.2.4.ClickhouseUtil

                  public class ClickhouseUtil {
    public ClickhouseUtil() {
    }
    public static List getSchemaPoList(Map chMapConf) throws SQLException {
        List schemaPos = new ArrayList();
        Connection connection = null;
        try {
            String jdbcurl = (String) chMapConf.get("jdbcurl");
            String driver = (String) chMapConf.get("driver");
            String userName = (String) chMapConf.get("username");
            String password = (String) chMapConf.get("password");
            String databaseName = (String) chMapConf.get("database-name");
            String tableName = (String) chMapConf.get("table-name");
            connection = JdbcUtil.getConnection(jdbcurl, userName, password, driver);
            DatabaseMetaData metaData = connection.getMetaData();
            ResultSet colRet = metaData.getColumns((String) null, databaseName, tableName, "%");
            System.out.println("表字段信息：");
            while (colRet.next()) {
                String columnName = colRet.getString("COLUMN_NAME");
                String columnType = colRet.getString("TYPE_NAME");
                schemaPos.add(new SchemaPo(columnName, columnType));
                System.out.println(columnName + "   " + columnType);
            }
        } finally {
            try {
                if (connection != null) {
                    connection.close();
                }
            } catch (SQLException var18) {
                var18.printStackTrace();
            }
        }
        return schemaPos;
    }
    public static String getCreateSinkTableSql(Map clickhouse, String sinkTableName, List schemaPos) {
        StringBuilder sinkTableSql = new StringBuilder();
        String userName = (String) clickhouse.get("username");
        String password = (String) clickhouse.get("password");
        String connector = (String) clickhouse.get("connector");
        String databaseName = (String) clickhouse.get("database-name");
        String url = (String) clickhouse.get("url");
        String tableName = (String) clickhouse.get("table-name");
        String sinkBatchSize = (String) clickhouse.get("sink.batch-size");
        String sinkFlushInterval = (String) clickhouse.get("sink.flush-interval");
        String sinkMaxRetries = (String) clickhouse.get("sink.max-retries");
        String sinkPartitionStrategy = (String) clickhouse.get("sink.partition-strategy");
        String sinkPartitionKey = (String) clickhouse.get("sink.partition-key");
        String sinkIgnoreDelete = (String) clickhouse.get("sink.ignore-delete");
        sinkTableSql.append(String.format("CREATE TABLE %s (\n", sinkTableName));
        int i = 0;
        Iterator var17 = schemaPos.iterator();
        while (var17.hasNext()) {
            SchemaPo schemaPo = (SchemaPo) var17.next();
            ++i;
            String signal = schemaPo.getSignal();
            String type = schemaPo.getType();
            if ("UInt64".equalsIgnoreCase(type)) {
                type = "BIGINT";
            } else if ("Map(String,String)".equalsIgnoreCase(type)) {
                type = "Map";
            } else if ("Datetime".equalsIgnoreCase(type)) {
                type = "Timestamp(0)";
            } else {
                type = "String";
            }
            sinkTableSql.append(String.format("    `%s` %s", signal, type));
            sinkTableSql.append(i == schemaPos.size() ? ")" : ",\n");
        }
        sinkTableSql.append("WITH(\n");
        sinkTableSql.append(String.format("'connector' = '%s',\n", connector));
        sinkTableSql.append(String.format("'url' = '%s',\n", url));
        sinkTableSql.append(String.format("'username' = '%s',\n", userName));
        sinkTableSql.append(String.format("'password' = '%s',\n", password));
        sinkTableSql.append(String.format("'url' = '%s',\n", url));
        sinkTableSql.append(String.format("'database-name' = '%s',\n", databaseName));
        sinkTableSql.append(String.format("'table-name' = '%s',\n", tableName));
        sinkTableSql.append(String.format("'sink.batch-size' = '%s',\n", sinkBatchSize));
        sinkTableSql.append(String.format("'sink.flush-interval' = '%s',\n", sinkFlushInterval));
        sinkTableSql.append(String.format("'sink.max-retries' = '%s',\n", sinkMaxRetries));
        sinkTableSql.append(String.format("'sink.partition-strategy' = 'hash',\n"));
        sinkTableSql.append(String.format("'sink.partition-key' = 'sample_date_time',\n"));
        sinkTableSql.append(String.format("'sink.ignore-delete' = '%s'\n", sinkIgnoreDelete));
        sinkTableSql.append(" )");
        return sinkTableSql.toString();
    }
    //转换成ck需要的格式
    public static Row convertRow(Map resultMap, List schemaPos) {
        Row row = new Row(schemaPos.size());
        for (int i = 0; i < schemaPos.size(); i++) {
            SchemaPo schemaPo = schemaPos.get(i);
            String valueStr = resultMap.get(schemaPo.getSignal());
            if (StringUtils.isBlank(valueStr)) {
                row.setField(i, null);
                continue;
            }
            if ("UInt64".equalsIgnoreCase(schemaPo.getType())) {
                Long svalue = Long.valueOf(valueStr);
                row.setField(i, Math.abs(svalue));
            } else if ("Int64".equalsIgnoreCase(schemaPo.getType())) {
                Long svalue = Long.valueOf(valueStr);
                row.setField(i, Math.abs(svalue));
            } else if ("Int32".equalsIgnoreCase(schemaPo.getType())) {
                Integer svalue = Integer.valueOf(valueStr);
                row.setField(i, svalue);
            } else if ("datetime".equalsIgnoreCase(schemaPo.getType())) {
                try {
                    Date svalue = (new SimpleDateFormat("yyyy-MM-dd HH:mm:ss")).parse(valueStr);
                    Timestamp timestamp = new Timestamp(svalue.getTime());
                    row.setField(i, timestamp);
                } catch (Exception ex) {
                    System.out.println(ex.getMessage());
                    System.out.println(Arrays.toString(ex.getStackTrace()));
                }
            } else {
                row.setField(i, valueStr);
            }
        }
        return row;
    }
}

                  2.3.flatmap

                  2.3.1.FlatMapFunction

                  public interface FlatMapFunction {
    public FlatMapFunction, Row> newInstance(List schemaPos);
}

                  2.4.sink

                  2.4.1.ClickHouseCatalog

                  public class ClickHouseCatalog extends AbstractCatalog {
    private static final Logger LOG = LoggerFactory.getLogger(ClickHouseCatalog.class);
    public static final String DEFAULT_DATABASE = "default";
    private final String baseUrl;
    private final String username;
    private final String password;
    private final boolean ignorePrimaryKey;
    private final Map properties;
    private ClickHouseConnection connection;
    public ClickHouseCatalog(String catalogName, Map properties) {
        this(catalogName, (String)properties.get("database-name"), (String)properties.get("url"), (String)properties.get("username"), (String)properties.get("password"), properties);
    }
    public ClickHouseCatalog(String catalogName, @Nullable String defaultDatabase, String baseUrl, String username, String password) {
        this(catalogName, defaultDatabase, baseUrl, username, password, Collections.emptyMap());
    }
    public ClickHouseCatalog(String catalogName, @Nullable String defaultDatabase, String baseUrl, String username, String password, Map properties) {
        super(catalogName, defaultDatabase == null ? "default" : defaultDatabase);
        Preconditions.checkArgument(!StringUtils.isNullOrWhitespaceOnly(baseUrl), "baseUrl cannot be null or empty");
        Preconditions.checkArgument(!StringUtils.isNullOrWhitespaceOnly(username), "username cannot be null or empty");
        Preconditions.checkArgument(!StringUtils.isNullOrWhitespaceOnly(password), "password cannot be null or empty");
        this.baseUrl = baseUrl.endsWith("/") ? baseUrl : baseUrl + "/";
        this.username = username;
        this.password = password;
        this.ignorePrimaryKey = properties.get("catalog.ignore-primary-key") == null || Boolean.parseBoolean((String)properties.get("catalog.ignore-primary-key"));
        this.properties = Collections.unmodifiableMap(properties);
    }
    public void open() throws CatalogException {
        try {
            Properties configuration = new Properties();
            configuration.putAll(this.properties);
            configuration.setProperty(ClickHouseQueryParam.USER.getKey(), this.username);
            configuration.setProperty(ClickHouseQueryParam.PASSWORD.getKey(), this.password);
            configuration.setProperty("socket_timeout", "600000");
            String jdbcUrl = ClickHouseUtil.getJdbcUrl(this.baseUrl, this.getDefaultDatabase());
            BalancedClickhouseDataSource dataSource = new BalancedClickhouseDataSource(jdbcUrl, configuration);
            dataSource.actualize();
            this.connection = dataSource.getConnection();
            LOG.info("Created catalog {}, established connection to {}", this.getName(), jdbcUrl);
        } catch (Exception var4) {
            throw new CatalogException(String.format("Opening catalog %s failed.", this.getName()), var4);
        }
    }
    public synchronized void close() throws CatalogException {
        try {
            this.connection.close();
            LOG.info("Closed catalog {} ", this.getName());
        } catch (Exception var2) {
            throw new CatalogException(String.format("Closing catalog %s failed.", this.getName()), var2);
        }
    }
    public Optional getFactory() {
        return Optional.of(new ClickHouseDynamicTableFactory());
    }
    public synchronized List listDatabases() throws CatalogException {
        try {
            PreparedStatement stmt = this.connection.prepareStatement("SELECT name from `system`.databases");
            Throwable var2 = null;
            try {
                ResultSet rs = stmt.executeQuery();
                Throwable var4 = null;
                try {
                    List databases = new ArrayList();
                    while(rs.next()) {
                        databases.add(rs.getString(1));
                    }
                    return databases;
                } catch (Throwable var31) {
                    var4 = var31;
                    throw var31;
                } finally {
                    if (rs != null) {
                        if (var4 != null) {
                            try {
                                rs.close();
                            } catch (Throwable var30) {
                                var4.addSuppressed(var30);
                            }
                        } else {
                            rs.close();
                        }
                    }
                }
            } catch (Throwable var33) {
                var2 = var33;
                throw var33;
            } finally {
                if (stmt != null) {
                    if (var2 != null) {
                        try {
                            stmt.close();
                        } catch (Throwable var29) {
                            var2.addSuppressed(var29);
                        }
                    } else {
                        stmt.close();
                    }
                }
            }
        } catch (Exception var35) {
            throw new CatalogException(String.format("Failed listing database in catalog %s", this.getName()), var35);
        }
    }
    public CatalogDatabase getDatabase(String databaseName) throws DatabaseNotExistException, CatalogException {
        if (this.listDatabases().contains(databaseName)) {
            return new CatalogDatabaseImpl(Collections.emptyMap(), (String)null);
        } else {
            throw new DatabaseNotExistException(this.getName(), databaseName);
        }
    }
    public boolean databaseExists(String databaseName) throws CatalogException {
        Preconditions.checkArgument(!StringUtils.isNullOrWhitespaceOnly(databaseName));
        return this.listDatabases().contains(databaseName);
    }
    public void createDatabase(String name, CatalogDatabase database, boolean ignoreIfExists) throws DatabaseAlreadyExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public void dropDatabase(String name, boolean ignoreIfNotExists, boolean cascade) throws DatabaseNotEmptyException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public void alterDatabase(String name, CatalogDatabase newDatabase, boolean ignoreIfNotExists) throws DatabaseNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public synchronized List listTables(String databaseName) throws DatabaseNotExistException, CatalogException {
        if (!this.databaseExists(databaseName)) {
            throw new DatabaseNotExistException(this.getName(), databaseName);
        } else {
            try {
                PreparedStatement stmt = this.connection.prepareStatement(String.format("SELECT name from `system`.tables where database = '%s'", databaseName));
                Throwable var3 = null;
                try {
                    ResultSet rs = stmt.executeQuery();
                    Throwable var5 = null;
                    try {
                        List tables = new ArrayList();
                        while(rs.next()) {
                            tables.add(rs.getString(1));
                        }
                        return tables;
                    } catch (Throwable var32) {
                        var5 = var32;
                        throw var32;
                    } finally {
                        if (rs != null) {
                            if (var5 != null) {
                                try {
                                    rs.close();
                                } catch (Throwable var31) {
                                    var5.addSuppressed(var31);
                                }
                            } else {
                                rs.close();
                            }
                        }
                    }
                } catch (Throwable var34) {
                    var3 = var34;
                    throw var34;
                } finally {
                    if (stmt != null) {
                        if (var3 != null) {
                            try {
                                stmt.close();
                            } catch (Throwable var30) {
                                var3.addSuppressed(var30);
                            }
                        } else {
                            stmt.close();
                        }
                    }
                }
            } catch (Exception var36) {
                throw new CatalogException(String.format("Failed listing tables in catalog %s database %s", this.getName(), databaseName), var36);
            }
        }
    }
    public List listViews(String databaseName) throws DatabaseNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public CatalogBaseTable getTable(ObjectPath tablePath) throws TableNotExistException, CatalogException {
        if (!this.tableExists(tablePath)) {
            throw new TableNotExistException(this.getName(), tablePath);
        } else {
            Map configuration = new HashMap(this.properties);
            configuration.put("url", this.baseUrl);
            configuration.put("database-name", tablePath.getDatabaseName());
            configuration.put("table-name", tablePath.getObjectName());
            configuration.put("username", this.username);
            configuration.put("password", this.password);
            String databaseName = tablePath.getDatabaseName();
            String tableName = tablePath.getObjectName();
            try {
                DistributedEngineFullSchema engineFullSchema = ClickHouseUtil.getAndParseDistributedEngineSchema(this.connection, tablePath.getDatabaseName(), tablePath.getObjectName());
                if (engineFullSchema != null) {
                    databaseName = engineFullSchema.getDatabase();
                    tableName = engineFullSchema.getTable();
                }
            } catch (Exception var6) {
                throw new CatalogException(String.format("Failed getting engine full of %s.%s.%s", this.getName(), databaseName, tableName), var6);
            }
            return new CatalogTableImpl(this.createTableSchema(databaseName, tableName), this.getPartitionKeys(databaseName, tableName), configuration, "");
        }
    }
    private synchronized TableSchema createTableSchema(String databaseName, String tableName) {
        try {
            PreparedStatement stmt = this.connection.prepareStatement(String.format("SELECT * from `%s`.`%s` limit 0", databaseName, tableName));
            Throwable var4 = null;
            TableSchema var24;
            try {
                ClickHouseResultSetMetaData metaData = (ClickHouseResultSetMetaData)stmt.getMetaData().unwrap(ClickHouseResultSetMetaData.class);
                Method getColMethod = metaData.getClass().getDeclaredMethod("getCol", Integer.TYPE);
                getColMethod.setAccessible(true);
                List primaryKeys = this.getPrimaryKeys(databaseName, tableName);
                TableSchema.Builder builder = TableSchema.builder();
                for(int idx = 1; idx <= metaData.getColumnCount(); ++idx) {
                    ClickHouseColumnInfo columnInfo = (ClickHouseColumnInfo)getColMethod.invoke(metaData, idx);
                    String columnName = columnInfo.getColumnName();
                    DataType columnType = ClickHouseTypeUtil.toFlinkType(columnInfo);
                    if (primaryKeys.contains(columnName)) {
                        columnType = (DataType)columnType.notNull();
                    }
                    builder.field(columnName, columnType);
                }
                if (!primaryKeys.isEmpty()) {
                    builder.primaryKey((String[])primaryKeys.toArray(new String[0]));
                }
                var24 = builder.build();
            } catch (Throwable var21) {
                var4 = var21;
                throw var21;
            } finally {
                if (stmt != null) {
                    if (var4 != null) {
                        try {
                            stmt.close();
                        } catch (Throwable var20) {
                            var4.addSuppressed(var20);
                        }
                    } else {
                        stmt.close();
                    }
                }
            }
            return var24;
        } catch (Exception var23) {
            throw new CatalogException(String.format("Failed getting columns in catalog %s database %s table %s", this.getName(), databaseName, tableName), var23);
        }
    }
    private List getPrimaryKeys(String databaseName, String tableName) {
        if (this.ignorePrimaryKey) {
            return Collections.emptyList();
        } else {
            try {
                PreparedStatement stmt = this.connection.prepareStatement(String.format("SELECT name from `system`.columns where `database` = '%s' and `table` = '%s' and is_in_primary_key = 1", databaseName, tableName));
                Throwable var4 = null;
                try {
                    ResultSet rs = stmt.executeQuery();
                    Throwable var6 = null;
                    try {
                        List primaryKeys = new ArrayList();
                        while(rs.next()) {
                            primaryKeys.add(rs.getString(1));
                        }
                        return primaryKeys;
                    } catch (Throwable var33) {
                        var6 = var33;
                        throw var33;
                    } finally {
                        if (rs != null) {
                            if (var6 != null) {
                                try {
                                    rs.close();
                                } catch (Throwable var32) {
                                    var6.addSuppressed(var32);
                                }
                            } else {
                                rs.close();
                            }
                        }
                    }
                } catch (Throwable var35) {
                    var4 = var35;
                    throw var35;
                } finally {
                    if (stmt != null) {
                        if (var4 != null) {
                            try {
                                stmt.close();
                            } catch (Throwable var31) {
                                var4.addSuppressed(var31);
                            }
                        } else {
                            stmt.close();
                        }
                    }
                }
            } catch (Exception var37) {
                throw new CatalogException(String.format("Failed getting primary keys in catalog %s database %s table %s", this.getName(), databaseName, tableName), var37);
            }
        }
    }
    private List getPartitionKeys(String databaseName, String tableName) {
        try {
            PreparedStatement stmt = this.connection.prepareStatement(String.format("SELECT name from `system`.columns where `database` = '%s' and `table` = '%s' and is_in_partition_key = 1", databaseName, tableName));
            Throwable var4 = null;
            try {
                ResultSet rs = stmt.executeQuery();
                Throwable var6 = null;
                try {
                    List partitionKeys = new ArrayList();
                    while(rs.next()) {
                        partitionKeys.add(rs.getString(1));
                    }
                    return partitionKeys;
                } catch (Throwable var33) {
                    var6 = var33;
                    throw var33;
                } finally {
                    if (rs != null) {
                        if (var6 != null) {
                            try {
                                rs.close();
                            } catch (Throwable var32) {
                                var6.addSuppressed(var32);
                            }
                        } else {
                            rs.close();
                        }
                    }
                }
            } catch (Throwable var35) {
                var4 = var35;
                throw var35;
            } finally {
                if (stmt != null) {
                    if (var4 != null) {
                        try {
                            stmt.close();
                        } catch (Throwable var31) {
                            var4.addSuppressed(var31);
                        }
                    } else {
                        stmt.close();
                    }
                }
            }
        } catch (Exception var37) {
            throw new CatalogException(String.format("Failed getting partition keys of %s.%s.%s", this.getName(), databaseName, tableName), var37);
        }
    }
    public boolean tableExists(ObjectPath tablePath) throws CatalogException {
        try {
            return this.databaseExists(tablePath.getDatabaseName()) && this.listTables(tablePath.getDatabaseName()).contains(tablePath.getObjectName());
        } catch (DatabaseNotExistException var3) {
            return false;
        }
    }
    public void dropTable(ObjectPath tablePath, boolean ignoreIfNotExists) throws TableNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public void renameTable(ObjectPath tablePath, String newTableName, boolean ignoreIfNotExists) throws TableNotExistException, TableAlreadyExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public void createTable(ObjectPath tablePath, CatalogBaseTable table, boolean ignoreIfExists) throws TableAlreadyExistException, DatabaseNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public void alterTable(ObjectPath tablePath, CatalogBaseTable newTable, boolean ignoreIfNotExists) throws TableNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public List listPartitions(ObjectPath tablePath) throws TableNotExistException, TableNotPartitionedException, CatalogException {
        return Collections.emptyList();
    }
    public List listPartitions(ObjectPath tablePath, CatalogPartitionSpec partitionSpec) throws TableNotExistException, TableNotPartitionedException, PartitionSpecInvalidException, CatalogException {
        return Collections.emptyList();
    }
    public List listPartitionsByFilter(ObjectPath tablePath, List filters) throws TableNotExistException, TableNotPartitionedException, CatalogException {
        return Collections.emptyList();
    }
    public CatalogPartition getPartition(ObjectPath tablePath, CatalogPartitionSpec partitionSpec) throws PartitionNotExistException, CatalogException {
        throw new PartitionNotExistException(this.getName(), tablePath, partitionSpec);
    }
    public boolean partitionExists(ObjectPath tablePath, CatalogPartitionSpec partitionSpec) throws CatalogException {
        throw new UnsupportedOperationException();
    }
    public void createPartition(ObjectPath tablePath, CatalogPartitionSpec partitionSpec, CatalogPartition partition, boolean ignoreIfExists) throws TableNotExistException, TableNotPartitionedException, PartitionSpecInvalidException, PartitionAlreadyExistsException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public void dropPartition(ObjectPath tablePath, CatalogPartitionSpec partitionSpec, boolean ignoreIfNotExists) throws PartitionNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public void alterPartition(ObjectPath tablePath, CatalogPartitionSpec partitionSpec, CatalogPartition newPartition, boolean ignoreIfNotExists) throws PartitionNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public List listFunctions(String dbName) throws DatabaseNotExistException, CatalogException {
        return Collections.emptyList();
    }
    public CatalogFunction getFunction(ObjectPath functionPath) throws FunctionNotExistException, CatalogException {
        throw new FunctionNotExistException(this.getName(), functionPath);
    }
    public boolean functionExists(ObjectPath functionPath) throws CatalogException {
        return false;
    }
    public void createFunction(ObjectPath functionPath, CatalogFunction function, boolean ignoreIfExists) throws FunctionAlreadyExistException, DatabaseNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public void alterFunction(ObjectPath functionPath, CatalogFunction newFunction, boolean ignoreIfNotExists) throws FunctionNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public void dropFunction(ObjectPath functionPath, boolean ignoreIfNotExists) throws FunctionNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public CatalogTableStatistics getTableStatistics(ObjectPath tablePath) throws TableNotExistException, CatalogException {
        return CatalogTableStatistics.UNKNOWN;
    }
    public CatalogColumnStatistics getTableColumnStatistics(ObjectPath tablePath) throws TableNotExistException, CatalogException {
        return CatalogColumnStatistics.UNKNOWN;
    }
    public CatalogTableStatistics getPartitionStatistics(ObjectPath tablePath, CatalogPartitionSpec partitionSpec) throws PartitionNotExistException, CatalogException {
        return CatalogTableStatistics.UNKNOWN;
    }
    public CatalogColumnStatistics getPartitionColumnStatistics(ObjectPath tablePath, CatalogPartitionSpec partitionSpec) throws PartitionNotExistException, CatalogException {
        return CatalogColumnStatistics.UNKNOWN;
    }
    public void alterTableStatistics(ObjectPath tablePath, CatalogTableStatistics tableStatistics, boolean ignoreIfNotExists) throws TableNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public void alterTableColumnStatistics(ObjectPath tablePath, CatalogColumnStatistics columnStatistics, boolean ignoreIfNotExists) throws TableNotExistException, CatalogException, TablePartitionedException {
        throw new UnsupportedOperationException();
    }
    public void alterPartitionStatistics(ObjectPath tablePath, CatalogPartitionSpec partitionSpec, CatalogTableStatistics partitionStatistics, boolean ignoreIfNotExists) throws PartitionNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
    public void alterPartitionColumnStatistics(ObjectPath tablePath, CatalogPartitionSpec partitionSpec, CatalogColumnStatistics columnStatistics, boolean ignoreIfNotExists) throws PartitionNotExistException, CatalogException {
        throw new UnsupportedOperationException();
    }
}

                  2.5.Kafka2ClickHouse

                  2.5.1.Kafka2chApp

                  public class Kafka2chApp {
    private static final Logger log = LoggerFactory.getLogger(Kafka2chApp.class);
    private static String SINK_TABLE = "sinkTable";
    private static String KAFKA_TEMP_VIEW = "kafkaTempView";
    /**
     * @param appName            mysql配置表对应字段
     * @param configName         mysql配置表对应字段
     * @throws Exception
     */
    public static void run(String appName, String configName, FlatMapFunction FlatMapFunction) throws Exception {
        log.info("Kafka2chApp.run传参appName:{}, configName:{}", appName, configName);
        // 获得数据库中的配置
        Map mapConf = RemoteConfigUtil.getByAppNameAndConfigName(appName, configName);
        if (mapConf == null || mapConf.size() == 0) return;
        Map clickhouseConf = (Map) mapConf.get("clickhouse");
        Map kafkaConsumerConf = (Map) mapConf.get("kafka-consumer");
        Map hdfsConf = (Map) mapConf.get("hdfs");
        // long beforeTime2Dropout = System.currentTimeMillis() - (Long) mapConf.get("before2DropoutHourStep") * 3600;
        // long after2DropoutTime = System.currentTimeMillis();
        // 初始化TableEnv & 获得流
        StreamExecutionEnvironment streamEnv = StreamEnv.getStreamEnv(hdfsConf);
        
        streamEnv.setParallelism(ckP);
        
        StreamTableEnvironment tableEnv = TableEnv.getTableEnv();
        // 处理
        List schemaPos = ClickhouseUtil.getSchemaPoList(clickhouseConf);
        TypeInformation[] types = getTypeInformationArray(schemaPos);
        // TypeInformation[] types = (schemaPos);
        String[] fieldNames = SchemaPoUtil.getFieldLists(schemaPos);
        FlatMapFunction, Row> flatMapFunction = x5lFlatMapFunction.newInstance(schemaPos);
        DataStreamSource> stream;
        SingleOutputStreamOperator infos;
        stream = streamEnv.addSource(CommonUtils.getKafkaConsumer(kafkaConsumerConf));
        System.out.println("Source 设置并行度为"+streamEnv.getParallelism());
        }
        infos = stream.flatMap(flatMapFunction);
        infos = infos.map(e -> e,new RowTypeInfo(types, fieldNames));
        System.out.println("map 设置并行度为"+streamEnv.getParallelism());
        }
        // 创建kafka数据临时视图
        tableEnv.createTemporaryView(KAFKA_TEMP_VIEW, infos);
        // 创建存放kafka数据的clickhouse映射表
        // String createSinkTableSql = ClickhouseUtil.getCreateSinkTableSql(clickhouseConf, SINK_TABLE, schemaPos);
        Map props = new HashMap<>();
        props.put(ClickHouseConfig.DATABASE_NAME, (String) clickhouseConf.get("database-name"));
        props.put(ClickHouseConfig.URL, (String) clickhouseConf.get("url"));
        props.put(ClickHouseConfig.USERNAME, (String) clickhouseConf.get("username"));
        props.put(ClickHouseConfig.PASSWORD, (String) clickhouseConf.get("password"));
        props.put(ClickHouseConfig.SINK_FLUSH_INTERVAL, (String) clickhouseConf.get("sink.flush-interval"));
        props.put(ClickHouseConfig.SINK_BATCH_SIZE, (String) clickhouseConf.get("sink.batch-size"));
        Catalog cHcatalog = new ClickHouseCatalog("clickhouse", props);
        tableEnv.registerCatalog("clickhouse", cHcatalog);
        tableEnv.useCatalog("clickhouse");
        // Arrays.stream(tableEnv.listCatalogs()).forEach(e -> System.out.println("catalog: " + e));
        // Arrays.stream(tableEnv.listDatabases()).forEach(e -> System.out.println("database: " + e));
        // System.out.println(tableEnv.listTables().length);
        // Arrays.stream(tableEnv.listTables()).forEach(e -> System.out.println("table: " + e));
        // tableEnv.executeSql(createSinkTableSql);
        // System.out.println(tableEnv.executeSql("select * from " + KAFKA_TEMP_VIEW).getTableSchema());
        //拼接sql
        String insertSql = "insert into `" + clickhouseConf.get("table-name") + "` select * from default_catalog.default_database." + KAFKA_TEMP_VIEW;
        // System.out.println("insertSql: " + insertSql);
        // log.info("insertSql: ", insertSql);
        //执行sql
        tableEnv.executeSql(insertSql);
        // 测试打印infos结果
        /*infos.print();
        streamEnv.executeAsync();*/
    }
    
    public static TypeInformation[] getTypeInformationArray(List schemaPos) {
        // String[] fieldNames = new String[columnTypeMap.size()];
        TypeInformation[] types = new TypeInformation[schemaPos.size()];
        int i = 0;
        for (SchemaPo po : schemaPos) {
            if ("String".equalsIgnoreCase(po.getType())) {
                types[i] = Types.STRING;
            } else if ("Int64".equalsIgnoreCase(po.getType())) {
                types[i] = Types.LONG;
            } else if ("UInt64".equalsIgnoreCase(po.getType())) {
                types[i] = Types.LONG;
            } else if ("Int32".equalsIgnoreCase(po.getType())) {
                types[i] = Types.INT;
            } else if ("Int8".equalsIgnoreCase(po.getType())) {
                types[i] = Types.INT;
            } else if ("datetime".equalsIgnoreCase(po.getType())) {
                types[i] = Types.SQL_TIMESTAMP;
            } else if ("Map(String,String)".equalsIgnoreCase(po.getType())) {
                types[i] = Types.MAP(Types.STRING, Types.STRING);
            } else {
                types[i] = Types.STRING;
            }
            i++;
        }
        return types;
    }
}

                  2.5.2.Kafka2Ck-ODS

                  public class Kafka2Ck-ODS implements FlatMapFunction {
    private static Logger logger = Logger.getLogger(Kafka2Ck-ODS.class);
    public static void main(String[] args) throws Exception {
        Kafka2chApp.run(Kafka2Ck-ODS.class.getName(), args[0], new Kafka2Ck-ODS());
    }
    @Override
    public FlatMapFunction, Row> newInstance(List schemaPos) {
        return new FlatMapFunction, Row>() {
            @Override
            public void flatMap(ConsumerRecord record, Collector out) throws Exception {
                // System.out.println("record ===> " +record); // 测试
                String value = record.value();
                try {
                    HashMap infoMap = JSON.parseObject(value, HashMap.class);
                    // 处理dataListMap中的数据
                    for (Map.Entry entry : dataListMap.entrySet()) {
                        String key = entry.getKey();
                        String value1 = entry.getValue();
                        resultMap.put(key.toLowerCase(), value1);
                    }
                    Row row = TableEnv.getRowBySchemaPo1(resultMap, schemaPos);
                    out.collect(row);
                } catch (Exception e) {
                    e.printStackTrace();
                    System.out.printf("数据异常，原因是%s,topic为%s,key为%s,value为%s%n", e.getMessage(), record.topic(), record.key(), record.value());
                }
            }
        };
    }
}
                   

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