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Spark Getting Started
Paimon Format Mixed Format Adding catalogs Creating a table Writing to the table Reading from the table The Iceberg Format can be accessed using the Connector provided by Ic... -
HiveJdbc
Support Hive Version Support Those Engines Key Features Description Supported DataSource Info Database Dependency Data Type Mapping Source Options Tips Task Example Simple... -
JDOQL
JDOQL Single-String JDOQL Accessing Fields Data types : literals Operators precedence Concatenation Expressions Example 1 - Use of Explicit Parameters Example 2 - Use of Impl... -
Schema Evolution
Schema Evolution on Write Type Promotions Schema Evolution on read Adding Columns Altering Columns Deleting Columns Renaming columns Schema Evolution in Action Related Reso... -
Table Watermark
Table freshness Table watermark Table freshness Data freshness represents timeliness, and in many discussions, freshness is considered one of the important indicators of data q... -
Creating your first interoperable table
Creating your first interoperable table Using Apache XTable™ (Incubating) to sync your source tables in different target format involves running sync on your current dataset usi... -
Util
_.attempt(func, [args]) Since Arguments Returns Example _.bindAll(object, methodNames) Since Arguments Returns Example _.cond(pairs) Since Arguments Returns Example... -
PersistenceManager
Persist Objects Retrieve Objects Update Objects Delete Objects Making an object transient Any JDO-enabled application will require at least one PersistenceManager (PM). This ... -
Utility
_.attempt(func) Arguments Returns Example .callback([func=.identity], [thisArg]) Aliases Arguments Returns Example _.constant(value) Arguments Returns Example _.identi... -
1. Auxiliary SQL extension for Spark SQL
Auxiliary SQL extension for Spark SQL What feature does Kyuubi SQL extension provide How to use Kyuubi SQL extension Auxiliary SQL extension for Spark SQL Kyuubi provid...
