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...
Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Options driver [string] user [string] password [string] url [string] query [stri...
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...
Support Those Engines Key Features Description Supported DataSource Info Dependency Data Type Mapping JSON File Type Text Or CSV File Type Orc File Type Parquet File Type ...
Support Those Engines Usage Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key features Data Type Mapping Orc File Type Parquet File Type Options path [string]...
Feature support Enabling Iceberg support in Hive Hive 4.0.0-beta-1 Hive 4.0.0-alpha-2 Hive 4.0.0-alpha-1 Hive 2.3.x, Hive 3.1.x Loading runtime jar Enabling support Hadoop con...
Pre-requisites Steps Initialize a pyspark shell Create dataset Running sync Conclusion Next steps Using OneTable to sync your source tables in different target format invo...