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Evolution
Schema evolution Correctness Partition evolution Sort order evolution Iceberg supports in-place table evolution . You can evolve a table schema just like SQL — even in nested... -
Kingbase
Support Connector Version Support Those Engines Key Features Description Supported DataSource Info Database Dependency Data Type Mapping Sink Options Tips Task Example Sim... -
Flink DML
Querying with SQL Batch mode Batch mode (non-primary key table) Batch mode (primary key table) Streaming mode Streaming mode (LogStore) Streaming mode (FileStore non-primary k... -
Contribute Transform Guide
Concepts DataType transform Data transform Translation Core APIs SeaTunnelTransform SingleFieldOutputTransform MultipleFieldOutputTransform AbstractSeaTunnelTransform Deve... -
Data Quality
SQL Query Single Result SQL Query Equality SQL Query Inequality Extend Custom Validator Additional Monitoring with Notifications Related Resources Data quality refers to the... -
File Sizing
Auto-sizing during writes File sizing for Copy-On-Write (COW) and Merge-On-Read (MOR) tables More details about file sizing for Merge-On-Read(MOR) tables Configs Auto-Sizing Wi... -
Branching and Tagging
Overview Use Cases Historical Tags Audit Branch Usage Overview Iceberg table metadata maintains a snapshot log, which represents the changes applied to a table. Snapshots ar... -
Z-Ordering Support
Introduction Supported table format Supported column data type How to use Optimize history data Syntax Examples Optimize incremental data To improve query speed, Kyuubi su... -
Redis
Description Key features Options host [string] port [int] key [string] data_type [string] user [string] auth [string] db_num [int] mode [string] nodes [list] format [str... -
Why JDO?
The majority of applications need to persist (or store) data during their lifecycle. There are many ways of doing this with an application written in Java. If your datastore is ...
