-
Oracle CDC
Support Those Engines Key features Description Supported DataSource Info Database Dependency Install Jdbc Driver For Spark/Flink Engine For SeaTunnel Zeta Engine Enable Orac... -
JDBC Connector
JDBC Configuration Semantic EXACTLY_ONCE AT_LEAST_ONCE && NONE Others JDBC read queryFunc to get sql resultFunc process the query data JDBC Read Write Generate target SQL b... -
Apache Kafka Connector
依赖 Kafka Source (Consumer) 基础消费示例 高级配置参数 消费多个Kafka实例 消费多个Topic Topic 发现 配置开始消费的位置 指定分区Offset 指定deserializer 返回记录KafkaRecord 指定strategy Kafka Sink (Producer) 容错和语义 多实例k... -
MySQL CDC
Support Those Engines Description Key features Supported DataSource Info Using Dependency Install Jdbc Driver For Flink Engine For SeaTunnel Zeta Engine Creating MySQL user ... -
Clickhouse Connector
JDBC 同步写入 常规方式写入 Apache StreamPark™ 方式写入 配置信息 写入clickhouse HTTP 异步写入 常规方式写入 Apache StreamPark™ 方式写入 异步写入配置及失败恢复组件配置 写入clickhouse 其他配置 ClickHouse 是一个用于联机分析（OLAP）的列式数据库管... -
项目配置
为什么需要配置 flink option property 基础参数 Memory参数 配置总内存 Table app sql 总结 配置在StreamPark 中是非常重要的概念,先说说为什么需要配置 为什么需要配置 开发DataStream 程序,大体流程都可以抽象为以下4步 StreamExecutionEnvironm... -
ClickHouse Connector
JDBC synchronous write Write in the normal way Write with Apache StreamPark™ configuration list Write to ClickHouse HTTP async write Write in the normal way Write to ClickHou... -
All Configurations
Externalized Config File Hudi Table Config Hudi Table Basic Configs Spark Datasource Configs Read Options Write Options PreCommit Validator Configurations Flink Sql Configs ... -
Use Cases
A Streaming Data Lake Near Real-Time Ingestion Incremental Processing Pipelines Unified Batch and Streaming Cloud-Native Tables Schema Management ACID Transactions Efficient ... -
Apache Kafka Connector
Dependencies Kafka Source (Consumer) example Advanced configuration parameters Consume multiple Kafka instances Consume multiple topics Topic dynamic discovery Consume from t...