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GitHub 趋势日报 (2025年05月29日)
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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... -
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... -
Flink Getting Started
Flink Apache Iceberg supports both Apache Flink ‘s DataStream API and Table API. See the Multi-Engine Support page for the integration of Apache Flink. Feature support Flink... -
Nessie
Iceberg Nessie Integration Iceberg provides integration with Nessie through the iceberg-nessie module. This section describes how to use Iceberg with Nessie. Nessie provides seve... -
Hive
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... -
Kafka Connect
Kafka Connect Kafka Connect is a popular framework for moving data in and out of Kafka via connectors. There are many different connectors available, such as the S3 sink for writ... -
Creating your first interoperable table
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... -
Amazon Athena
To read a OneTable synced target table (regardless of the table format) in Amazon Athena, you can create the table either by: Using a DDL statement as mentioned in the following...
