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DB2
Support Those Engines Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Supported DataSource Info Data Type Mapping Sink Options Ti... -
Configurations
Multi-level configuration management Self-optimizing configurations Data-cleaning configurations Mixed Format configurations Reading configurations Writing configurations LogS... -
Iceberg
Iceberg format refers to Apache Iceberg table, which is an open table format for large analytical datasets designed to provide scalable, efficient, and secure data storage and qu... -
Table Watermark
Table freshness Table watermark Table freshness Data freshness represents timeliness, and in many discussions, freshness is considered one of the important indicators of data q... -
Structured Streaming
Streaming Reads Streaming Writes Partitioned table Maintenance for streaming tables Tune the rate of commits Expire old snapshots Compacting data files Rewrite manifests I... -
quick-start-flink
Step 1: Deployment SeaTunnel And Connectors Step 2: Deployment And Config Flink Step 3: Add Job Config File to define a job Step 4: Run SeaTunnel Application What’s More Ste... -
Flink DML
Querying with SQL Batch mode Batch mode (non-primary key table) Batch mode (primary key table) Streaming mode Streaming mode (LogStore) Streaming mode (FileStore non-primary k... -
CDC Compatible Debezium-json
How To Use MySQL-CDC Sink Kafka SeaTunnel supports to interpret cdc record as Debezium-JSON messages publish to mq(kafka) system. This is useful in many cases to leverage this ... -
RocketMQ
Support Apache RocketMQ Version Support These Engines Key Features Description Sink Options partition.key.fields [array] Task Example Fake to Rocketmq Simple Rocketmq To Roc... -
Flink DataStream
Reading with DataStream Batch mode Streaming mode Streaming mode (LogStore) Streaming mode (FileStore) Writing with DataStream Overwrite data Appending data Reading with ...