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...
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...
Auto-sizing during writes File sizing for Copy-On-Write (COW) and Merge-On-Read (MOR) tables More details about file sizing for Merge-On-Read(MOR) tables Configs Auto-Sizing Wi...
Real-Time data in LogStore Overview Prerequisites for using LogStore Double write LogStore and FileStore Due to the limitations of traditional offline data warehouse architect...
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...
Iceberg format refers to Apache Iceberg table, which is an open table format for large analytical datasets designed to provide scalable, efficient, and secure data storage and qu...