Spark Configuration Catalogs Spark adds an API to plug in table catalogs that are used to load, create, and manage Iceberg tables. Spark catalogs are configured by setting Spark ...
Support Those Engines Key features Description Sink Options Task Example Changelog 2.2.0-beta 2022-09-26 Socket sink connector Support Those Engines Spark Flink SeaTu...
Introduction Hive on Spark Differences Between Kyuubi and HiveServer2 Performance References Introduction HiveServer2 is a service that enables clients to execute Hive QL qu...
A MySQL, Oracle, PostgreSQL, or Amazon RDS database instance must be running and available to be used by Ranger. The Ranger installation will create two new users (default names: ...
Disclaimer Supported Storage System Verified Combination of Spark and storage system HDInsight Spark2.4 on Azure Data Lake Storage Gen 2 Databricks Spark2.4 on Azure Data Lake S...
Iceberg Java API Tables The main purpose of the Iceberg API is to manage table metadata, like schema, partition spec, metadata, and data files that store table data. Table metad...
Spark Streaming Spark Streaming Structured Streaming reads are based on Hudi’s Incremental Query feature, therefore streaming read can return data for which commits and base fil...
Rewrite files action. Rewrite files action. Iceberg provides API to rewrite small files into large files by submitting Flink batch jobs. The behavior of this Flink action is the...