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...
Background Metadata API Enhancer API Query Cancel/Timeout API Control of read objects locking Background Java Data Objects (JDO) is a specification begun in 2000, with 2 maj...
Support SQL Server Version Support Those Engines Using Dependency For Spark/Flink Engine For SeaTunnel Zeta Engine Key Features Description Supported DataSource Info Databa...
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...
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...
_.camelCase([string=’’]) Arguments Returns Example _.capitalize([string=’’]) Arguments Returns Example _.deburr([string=’’]) Arguments Returns Example _.endsWith([strin...
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]...
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...
More Information Before starting the Ambari Server, you must set up the Ambari Server. Setup configures Ambari to talk to the Ambari database, installs the JDK and allows you to...