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Java Custom Catalog
Custom Catalog It’s possible to read an iceberg table either from an hdfs path or from a hive table. It’s also possible to use a custom metastore in place of hive. The steps to do... -
Hive
Hive Connector Integration Dependencies Configurations Hive Connector Operations The Kyuubi Hive Connector is a datasource for both reading and writing Hive table, It is imple... -
Evolution
Evolution Iceberg supports in-place table evolution . You can evolve a table schema just like SQL — even in nested structures — or change partition layout when data volume chang... -
Ambari 存储库
Ambari 2.7.5 存储库 使用适合您的操作系统系列的链接 下载包含用于设置 Ambari 的软件的存储库文件 。 Ambari 2.7.5 存储库 OS Format URL RedHat 7 ... -
Hive Distcp
Introduction Configure Hive Distcp Job Source and target metastores Database and tables to copy Target path computation Conflicting table and partitions treatment Deregisterin... -
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... -
Writing ORC Data
Introduction Hive SerDe Integration Writing to an ORC File Data Flow Extending Gobblin’s SerDe Integration Introduction Gobblin is capable of writing data to ORC files by le... -
Flink Connector
Flink Connector Apache Flink supports creating Iceberg table directly without creating the explicit Flink catalog in Flink SQL. That means we can just create an iceberg table by s... -
Features and Limitations
Features and Limitations Features Apache XTable™ (Incubating) provides users with the ability to translate metadata from one table format to another. Apache XTable™ (Incubatin... -
Hive Registration
How Hive Registration Works in Gobblin HiveSpec HiveRegistrationPolicy HiveSerDeManager Predicate and Activity How to Use Hive Registration in Your Gobblin Job Hive Regist...
