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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... -
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... -
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... -
Procedures
Spark Procedures To use Iceberg in Spark, first configure Spark catalogs . Stored procedures are only available when using Iceberg SQL extensions in Spark 3. Usage Procedures c... -
HiveJdbc
Support Hive Version Support Those Engines Key Features Description Supported DataSource Info Database Dependency Data Type Mapping Source Options Tips Task Example Simple... -
Util
_.attempt(func, [args]) Since Arguments Returns Example _.bindAll(object, methodNames) Since Arguments Returns Example _.cond(pairs) Since Arguments Returns Example... -
Utility
_.attempt(func) Arguments Returns Example .callback([func=.identity], [thisArg]) Aliases Arguments Returns Example _.constant(value) Arguments Returns Example _.identi... -
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 ... -
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... -
JDO v JPA
There are several competing persistence technologies available for Java. Two of these are “standardised” (via the JCP). When developing your application you need to choose the mos...
