Hive Iceberg supports reading and writing Iceberg tables through Hive by using a StorageHandler . Feature support The following features matrix illustrates the support for diff...
Building With Maven Building A Submodule Individually Building Submodules Individually Skipping Some Modules Building Kyuubi Against Different Apache Spark Versions Building K...
Flink Writes Iceberg support batch and streaming writes With Apache Flink ‘s DataStream API and Table API. Writing with SQL Iceberg support both INSERT INTO and INSERT OVERWRIT...
References[] One main advantage of R Markdown is that it can create multiple output formats from a single source, which could be one or multiple Rmd documents. For example, this ...
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...
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...