-
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... -
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... -
PersistenceManagerFactory
Standard JDO Properties Any JDO-enabled application will require (at least) one PersistenceManagerFactory. Typically applications create one per datastore being utilised. A Persi... -
Configuration Overview
Client Configuration Server Configuration Default Site System Namespace Zookeeper Considerations Viewing Server Configuration Configuration is managed differently for Accu... -
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) ... -
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... -
3. Trouble Shooting
Common Issues java.lang.UnsupportedClassVersionError .. Unsupported major.minor version 52.0 org.apache.spark.SparkException: When running with master ‘yarn’ either HADOOP_CONF_DI... -
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... -
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... -
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...
