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...
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...
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) ...
Why we need schema SchemaOptions table schema_first comment Columns What type supported at now How to declare type supported PrimaryKey ConstraintKeys What constraintType s...
Access Kyuubi with Hive JDBC and ODBC Drivers Instructions Install Hive JDBC JDBC URL Example Unsupported Hive Features Access Kyuubi with Hive JDBC and ODBC Drivers...
User experience Reliability and performance Open standard Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including S...
Introduction Example Lineage specific identification SQL type support Query Command Building Build with Apache Maven Build against Different Apache Spark Versions Test with...
Support Iceberg Version Support Those Engines Key features Description Supported DataSource Info Database Dependency Data Type Mapping Source Options Task Example Simple: ...
Support Those Engines Key Features Description Supported DataSource Info Database Dependency Data Type Mapping Mysql Mode Oracle Mode Source Options Tips Task Example Sim...