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1. Terminologies
Terminologies Kyuubi JDBC Apache Hive Apache Thrift Server ServerSpace Engine EngineSpace Apache Spark Multi Tenancy High Availability / Load Balance Apache Zookeeper Apa... -
Features
Table Design and Configuration Iterators Security labels Constraints Sharding Large Rows Namespaces Volume support Integrity/Availability Manager fail over Logical time L... -
Apache Hudi Stack
Lake Storage File Formats Transactional Database Layer Table Format Indexes Table Services Clustering Compaction Cleaning Indexing Concurrency Control Lake Cache* Metase... -
Apache HBase Connector
Dependency of Apache HBase writing Regular way to write and read Apache HBase 1.Create database and table 2.Write demo and Read demo write and read Apache HBase with Apache Str... -
Metadata Table
Metadata Table Supporting Multi-Modal Index in Hudi Metadata table indices Enable Hudi Metadata Table and Multi-Modal Index in write side Use metadata indices for query side im... -
Mixed-Iceberg
Compared with Iceberg format, Mixed-Iceberg format provides more features: Stronger primary key constraints that also apply to Spark OLAP performance that is production-ready fo... -
1. Terminologies
Kyuubi JDBC Apache Hive Apache Thrift Server ServerSpace Engine EngineSpace Apache Spark Multi Tenancy High Availability / Load Balance Apache Zookeeper Apache Curator ... -
Self-Optimizing
Introduction Self-optimizing mechanism Self-optimizing scheduling policy Quota Balanced Introduction Lakehouse is characterized by its openness and loose coupling, with data... -
Using Flink
CDC Ingestion Bulk Insert Options Index Bootstrap Options How To Use Changelog Mode Options Append Mode Inline Clustering Async Clustering Clustering Plan Strategy Buck... -
Metadata Indexing
Setup Async Indexing Configurations Schedule indexing Execute Indexing Drop Index Caveats Related Resources Hudi maintains a scalable metadata that has some auxiliary data...