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Hive Dialect Support
Features Usage Hive Dialect plugin aims to provide Hive Dialect support to Spark’s JDBC source. It will auto registered to Spark and applied to JDBC sources with url prefix of j... -
Metrics
Table metrics Self-optimizing metrics Amoro provides both table-level and platform-level metrics to help users understand the runtime status of the current table. Table metric... -
Types of Classes
JDO provides a means of transparent persistence of objects of user defined classes. With JDO there are actually 3 types of classes. Persistence Capable classes are classes whose... -
1. Getting Ready
This section describes the information and materials you should get ready to install a cluster using Ambari. Ambari provides an end-to-end management and monitoring solution for y... -
EventMesh Runtime with Docker
EventMesh Runtime with Docker 1. Prerequisites 2. Pull the EventMesh Runtime Image 3. Mount Configuration Files 3.1 EventMesh Runtime Configuration 3.2 Event Store Configuration... -
Mixed-Hive
Mixed-Hive format is a format that has better compatibility with Hive than Mixed-Iceberg format. Mixed-Hive format uses a Hive table as the BaseStore and an Iceberg table as the C... -
Source schema and Converters
Source schema Converters Converters available in Gobblin Schema specification Supported data types by different converters Primitive types Complex types Array Map Record En... -
Java Custom Catalog
Custom Catalog It’s possible to read an iceberg table either from an hdfs path or from a hive table. It’s also possible to use a custom metastore in place of hive. The steps to do... -
Evolution
Evolution Iceberg supports in-place table evolution . You can evolve a table schema just like SQL — even in nested structures — or change partition layout when data volume chang... -
Auxiliary SQL Functions
Kyuubi provides several auxiliary SQL functions as supplement to Flink’s Built-in Functions Name Description Return Type Since kyuubi_version Return the version of K...
