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...
Description Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Options driver [string] user [string] password [string] url [string] query [stri...
Any Language Any Server Any Use Case Push to Deploy Free SSL Certificates Automatic DB Backups Webhooks Powerful API Collaborative Pull Request Deployments Server Automat...
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...
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...
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 ...