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12. Standalone node
12.1. Overview 12.2. Configuration 12.2.1. Configuration. Settings mapReduceWorkers executorServiceWorkers redissonNodeInitializer beanFactory 12.2.2. Configuration. YAML con... -
Types of Fields
Supported Java Types First-Class (FCO) Types Second-Class (SCO) Types Simple Types Temporal Types Collection/Map Types Array Types JDO Attribute Converters Supported Java... -
Flink DataStream
Reading with DataStream Batch mode Streaming mode Streaming mode (LogStore) Streaming mode (FileStore) Writing with DataStream Overwrite data Appending data Reading with ... -
JDBC
JDBC Catalog Configurations Examples Spark Java API JDBC Catalog Iceberg supports using a table in a relational database to manage Iceberg tables through JDBC. The database ... -
Cache API implementations
Spring Cache Redisson provides various Spring Cache implementations. Each Cache instance has two important parameters: ttl and maxIdleTime . Data is stored infinitely if these se... -
Distributed collections
Map Redis or Valkey based distributed Map object for Java implements ConcurrentMap interface. This object is thread-safe. Consider to use Live Object service to store POJO obje... -
Integration with Spring
Spring Boot Starter Integrates Redisson with Spring Boot library. Depends on Spring Data Redis module. Supports Spring Boot 1.3.x - 3.4.x Usage 1. Add redisson-spring-boot-sta... -
Hive
Hive Iceberg supports reading and writing Iceberg tables through Hive by using a StorageHandler . Feature support The following features matrix illustrates the support for diff... -
Nessie
Iceberg Nessie Integration Iceberg provides integration with Nessie through the iceberg-nessie module. This section describes how to use Iceberg with Nessie. Nessie provides seve... -
Flink Writes
Flink Writes Iceberg support batch and streaming writes With Apache Flink ‘s DataStream API and Table API. Writing with SQL Iceberg support both INSERT INTO and INSERT OVERWRIT...
