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Nessie
Enabling Nessie Catalog Spark SQL Extensions Nessie Catalog Nessie and Iceberg Loosely coupled transactions Experimentation Further use cases Example Future Improvements ... -
不向前兼容的更新
不向前兼容的更新 dev 3.2.0 3.0.0 3.2.0 不向前兼容的更新 本文档记录了各版本之间不兼容的更新内容。在升级到相关版本前，请检查本文档。 dev 将mysql驱动版本从8.0.16升级至8.0.33 (#14684 ) 更改了环境变量名称，将 PYTHON_HOME 改为 PYTHON_LAUNCHER ， 将 DAT... -
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... -
Caching
Dependencies Fallback Metastore Cache Chart Cache Timeout SQL Lab Query Results Caching Thumbnails Superset uses Flask-Caching for caching purposes. Flask-Caching supports v... -
Deployment
System requirements Download the distribution Source code compilation Configuration Configure the service address Configure system database Configure high availability Config... -
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... -
Set Up the Ambari Server
More Information Before starting the Ambari Server, you must set up the Ambari Server. Setup configures Ambari to talk to the Ambari database, installs the JDK and allows you to... -
Customize Services
Credentials Databases Directories Accounts All Configurations Next Step More Information The Customize Services step presents you with a set of tabs that let you review and... -
Implementations
JDO Reference Implementations Implementations To build and run your JDO application, you need a JDO implementation. This page lists commercial and non-commercial JDO implementat... -
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...