PostgreSQL JDBC接收器提升错误null(数组)类型不';没有到SQL数据库列类型的映射
我在尝试使用Kafka JDBC接收器复制数据库时遇到问题。当我将服务器运行到一个包含数组数据类型的表时,它会给出这个错误PostgreSQL JDBC接收器提升错误null(数组)类型不';没有到SQL数据库列类型的映射,jdbc,apache-kafka,apache-kafka-connect,debezium,Jdbc,Apache Kafka,Apache Kafka Connect,Debezium,我在尝试使用Kafka JDBC接收器复制数据库时遇到问题。当我将服务器运行到一个包含数组数据类型的表时,它会给出这个错误 ... Caused by: org.apache.kafka.connect.errors.ConnectException: null (ARRAY) type doesn't have a mapping to the SQL database column type ... 我希望保留相同的数组条件,不希望像对SQL Server所做的那样将其转换为字符串(因为S
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Caused by: org.apache.kafka.connect.errors.ConnectException: null (ARRAY) type doesn't have a mapping to the SQL database column type
...
我希望保留相同的数组条件,不希望像对SQL Server所做的那样将其转换为字符串(因为SQL Server不允许数组数据类型)
这是我的连接配置:
{"name" :"pgsink_'$topic_name'",
"config":{"connector.class":"io.confluent.connect.jdbc.JdbcSinkConnector",
"tasks.max":"1",
"topics":"'$table'",
"connection.url":"jdbc:postgresql://",
"connection.user":"",
"connection.password":"",
"transforms":"unwrap",
"transforms.unwrap.type": "io.debezium.transforms.ExtractNewRecordState",
"transforms.unwrap.drop.tombstones": "false",
"delete.handling.mode":"drop",
"auto.create":"true",
"auto.evolve":"true",
"insert.mode":"upsert",
"pk.fields":" '$pk'",
"pk.mode":"record_key",
"delete.enabled":"true",
"destination.table.format":"public.'$table'",
"connection.attempts":"60",
"connection.backoff.ms":"100000"
}}
我的Kafka源代码来自Debezium,因为我希望保留相同的数据类型,所以我不将SMT放入源代码中。这是源配置:
{
"name":"pg_prod",
"config":{
"connector.class":"io.debezium.connector.postgresql.PostgresConnector",
"plugin.name":"wal2json_streaming",
"database.hostname":"",
"database.port":"",
"database.user":"",
"database.password":"",
"database.dbname":"",
"database.server.name":"",
"database.history.kafka.bootstrap.servers": "",
"database.history.kafka.topic": "",
"transforms":"unwrap,reroute",
"table.whitelist":"public.table",
"transforms.unwrap.type":"io.debezium.transforms.ExtractNewRecordState",
"transforms.unwrap.delete.handling.mode": "drop",
"transforms.unwrap.drop.tombstones": "false",
"decimal.handling.mode":"double",
"time.precision.mode":"connect",
"transforms.reroute.type":"org.apache.kafka.connect.transforms.RegexRouter",
"transforms.reroute.regex":"postgres.public.(.*)",
"transforms.reroute.replacement":"$1",
"errors.tolerance": "all",
"errors.log.enable":true,
"errors.log.include.messages":true,
"kafkaPartition": "0",
"snapshot.delay.ms":"1000",
"schema.refresh.mode":"columns_diff_exclude_unchanged_toast"
}
}