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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... -
StarRocks
Support These Engines Key Features Description Sink Options save_mode_create_template table [string] schema_save_mode[Enum] data_save_mode[Enum] custom_sql[String] Data Ty... -
The Share Level Of Kyuubi Engines
Why do we need this feature? The current supported share levels CONNECTION USER(Default) GROUP SERVER Subdomain Hybrid Related Configurations Conclusion The share level ... -
MongoDB
Support Those Engines Key features Description Supported DataSource Info Data Type Mapping Sink Options Tips How to Create a MongoDB Data Synchronization Jobs Parameter Int... -
JDOQL Typed API
JDOQL Typed API Preparation Using Maven Using Eclipse Query Classes Limitations Filtering Ordering Methods Results Parameters Variables If-Then-Else Subqueries Candida... -
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... -
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... -
FtpFile
Description Key features Options host [string] port [int] user [string] password [string] path [string] connection_mode [string] custom_filename [boolean] file_name_expres... -
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... -
Integration with Hive Metastore
Requirements Default Behavior Related Configurations Remote Metastore Database Remote Metastore Server Activate Configurations Via kyuubi-defaults.conf Via hive-site.xml Via...
