-
Performance
Scan planning Metadata filtering Data filtering Iceberg is designed for huge tables and is used in production where a single table can contain tens of petabytes of data. Even ... -
Exporter
Introduction Arguments Examples Copy a Hudi dataset Export to json or parquet dataset Re-partitioning Custom Re-partitioning Introduction HoodieSnapshotExporter allows you... -
Fork Operator
Overview of the ForkOperator Using the ForkOperator Basics of Usage Per-Fork Configuration Failure Semantics Performance Tuning Comparison with PartitionedDataWriter Writing... -
Bytecode Enhancement
JDO defines a byte-code enhancement process that provides for dirty detection of fields. Before a class is used at runtime it is compiled and then “enhanced” to implement the inte... -
Java API
Iceberg Java API Tables The main purpose of the Iceberg API is to manage table metadata, like schema, partition spec, metadata, and data files that store table data. Table metad... -
Config Management
Introduction Dataset Config Management Requirement Data Model Versioning Client library Config Store Current Dataset Config Management Implementation Data model Client appli... -
第六章：volatile关键字
学习目标 1 内存可见性问题 1.1 什么是内存可见性 1.2 内存可见性问题的原因 2 volatile的作用与使用场景 2.1 volatile关键字介绍 2.2 volatile的内存语义 2.3 volatile的适用场景 2.4 volatile不能解决的问题 3 volatile与synchronized的区别 3.1 可见性与... -
第四章：线程安全问题
学习目标 1. 什么是线程安全 1.1 线程安全的定义 1.2 线程安全的重要性 2. 共享资源访问的竞态条件 2.1 什么是竞态条件 2.2 竞态条件示例 2.3 竞态条件的类型 读-改-写竞态条件 检查再执行竞态条件 3. 线程安全问题的表现形式 3.1 原子性问题 3.2 可见性问题 3.3 有序性问题 4. 实战案例：商品... -
Writes
Spark Writes To use Iceberg in Spark, first configure Spark catalogs . Some plans are only available when using Iceberg SQL extensions in Spark 3. Iceberg uses Apache Spark’s D... -
Distributed objects
Object holder Java implementation of Redis or Valkey based RBucket object is a holder for any type of object. Size is limited to 512Mb. Code example: RBucket < AnyObject > buc...
