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Table Watermark
Table freshness Table watermark Table freshness Data freshness represents timeliness, and in many discussions, freshness is considered one of the important indicators of data q... -
HiveJdbc
Support Hive Version Support Those Engines Key Features Description Supported DataSource Info Database Dependency Data Type Mapping Source Options Tips Task Example Simple... -
Procedures
Spark Procedures To use Iceberg in Spark, first configure Spark catalogs . Stored procedures are only available when using Iceberg SQL extensions in Spark 3. Usage Procedures c... -
Flink Connector
Table managed in Hive catalog. Table managed in hadoop catalog Table managed in custom catalog A complete example. Apache Flink supports creating Iceberg table directly withou... -
Setup Options
More Information The following options are frequently used for Ambari Server setup. -j (or —java-home) Specifies the JAVA_HOME path to use on the Ambari Server and all hosts i... -
SSO Integration
Background SSO login workflow How to enable SSO login Note Background As an enterpise practice, it’s common to apply Single sign-on (SSO) across all applications, so that use... -
Deploy Kyuubi engines on Kubernetes
Requirements Configurations Master Deploy Mode Docker Image Test Cluster ServiceAccount Volumes PodTemplateFile Other Requirements When you want to run Kyuubi’s Spark S... -
1. Auxiliary SQL extension for Spark SQL
Auxiliary SQL extension for Spark SQL What feature does Kyuubi SQL extension provide How to use Kyuubi SQL extension Auxiliary SQL extension for Spark SQL Kyuubi provid... -
JDO v JPA
There are several competing persistence technologies available for Java. Two of these are “standardised” (via the JCP). When developing your application you need to choose the mos... -
Creating your first interoperable table
Creating your first interoperable table Using Apache XTable™ (Incubating) to sync your source tables in different target format involves running sync on your current dataset usi...
