Scan planning Metadata filtering Data filtering Iceberg is designed for huge tables and is used in production where a single table can contain tens of petabytes of data. Even ...
Auxiliary SQL Functions for Spark SQL Auxiliary SQL Functions for Spark SQL Kyuubi provides several auxiliary SQL functions as supplement to Spark’s Built-in Functions ...
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...
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...
Event Logging StatsD Logging Event Logging Superset by default logs special action events in its internal database (DBEventLogger). These logs can be accessed on the UI by navi...
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...