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Performance
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 ... -
Presto
Presto allows you to query table formats like Hudi, Delta and Iceberg using connectors. The same setup will work for OneTable synced tables as well. For more information and requ... -
Iceberg
Iceberg Integration Dependencies Iceberg Operations Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including Spark, T... -
Flink Actions
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... -
Schemas
Iceberg tables support the following types: Type Description Notes boolean True or false int 32-bit signed integers Can promote to long long 64-bit s... -
Iceberg
Iceberg Integration Configurations Iceberg Operations Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including Spark,... -
Amazon Redshift Spectrum
Hudi and Iceberg tables Delta Lake table To read a OneTable synced target table (regardless of the table format) in Amazon Redshift, users have to create an external schema and ... -
Iceberg
Iceberg Integration Dependencies Configurations Iceberg Operations Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines in... -
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... -
Iceberg
Iceberg Integration Dependencies Configurations Iceberg Operations Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines in...