-
Self-Optimizing
Introduction Self-optimizing mechanism Self-optimizing scheduling policy Quota Balanced Introduction Lakehouse is characterized by its openness and loose coupling, with data... -
Intro to schema feature
Why we need schema SchemaOptions table schema_first comment Columns What type supported at now How to declare type supported PrimaryKey ConstraintKeys What constraintType s... -
Table Design
Basic Table RowID Design Lexicoders Indexing Entity-Attribute and Graph Tables Document-Partitioned Indexing Basic Table Since Accumulo tables are sorted by row ID, each ta... -
CDC Ingestion
Ingest into one table Iceberg format Mixed-Iceberg format Ingest Into multiple tables Iceberg format Mixed-Iceberg format CDC stands for Change Data Capture, which is a broa... -
Canal Format
Format Options How to use Kafka uses example Changelog-Data-Capture Format Format: Serialization Schema Format: Deserialization Schema Canal is a CDC (Changelog Data Capture) ... -
1. Overview
Redisson is the Redis Java client and Real-Time Data Platform. It provides more convenient and easiest way to work with Redis. Redisson objects provides a separation of concern, wh... -
Flink Getting Started
Iceberg format Paimon format Mixed format Environment preparation Mixed-Hive format Frequently Asked Questions Iceberg format The Iceberg Format can be accessed using the C... -
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... -
Apache Pulsar
Description Key features Options topic [String] topic-pattern [String] topic-discovery.interval [Long] subscription.name [String] client.service-url [String] admin.service-u... -
Integration with Hive Metastore
Requirements Default Behavior Related Configurations Remote Metastore Database Remote Metastore Server Activate Configurations Via kyuubi-defaults.conf Via hive-site.xml Via...
