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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... -
PersistenceManagerFactory
Standard JDO Properties Any JDO-enabled application will require (at least) one PersistenceManagerFactory. Typically applications create one per datastore being utilised. A Persi... -
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... -
Hive Metastore
Spark Data Source example Query using HiveQL Use partition extractor properly Hive Sync Tool Hive Sync Configuration Sync modes HMS JDBC HIVEQL Flink Setup Install Hive E... -
StarRocks
Support These Engines Key Features Description Sink Options save_mode_create_template table [string] schema_save_mode[Enum] data_save_mode[Enum] custom_sql[String] Data Ty... -
Flink Queries
Reading with SQL Flink batch read Flink streaming read FLIP-27 source for SQL Reading branches and tags with SQL Reading with DataStream Batch Read Streaming read Reading w... -
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... -
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) ... -
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... -
Development Guide
Environment Requirements Clone the Source Code Build the Project Open the Project Extract the Package Copy the Path Start the Backend Service Start the Frontend Service Dem...
