-
Mixed-Iceberg
Compared with Iceberg format, Mixed-Iceberg format provides more features: Stronger primary key constraints that also apply to Spark OLAP performance that is production-ready fo... -
Flink Queries
Reading with SQL Flink batch read Flink streaming read FLIP-27 source for SQL Reading branches and tags with SQL Reading with DataStream Batch Read Streaming read Reading w... -
Canal Format
Format Options How to use Kafka uses example Changelog-Data-Capture Format Format: Serialization Schema Format: Deserialization Schema Canal is a CDC (Changelog Data Capture) ... -
Self-Optimizing
Introduction Self-optimizing mechanism Self-optimizing scheduling policy Quota Balanced Introduction Lakehouse is characterized by its openness and loose coupling, with data... -
快速开始
如何使用 部署 DataStream 任务 部署 FlinkSql 任务 任务启动流程 如何使用 在上个章节已经详细介绍了一站式平台 streampark-console 的安装, 本章节看看如果用 streampark-console 快速部署运行一个作业, streampark-console 对标准的 Flink 程序 ( 按照 Fl... -
Google BigQuery
Sync Modes Manifest File Benefits of using the new manifest approach: View Over Files (Legacy) Configurations Partition Handling Example Hudi tables can be queried from Goo... -
FtpFile
Description Key features Options host [string] port [int] user [string] password [string] path [string] connection_mode [string] custom_filename [boolean] file_name_expres... -
Flink Getting Started
Iceberg format Paimon format Mixed format Environment preparation Mixed-Hive format Frequently Asked Questions Iceberg format The Iceberg Format can be accessed using the C... -
Oracle
Support Those Engines Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Supported DataSource Info Database Dependency Data Type Map... -
Intro To Connector V2 Features
Differences Between Connector V2 And Connector v1 Source Connector Features exactly-once column projection batch stream parallelism support user-defined split support multip...
