-
Building Gobblin
Overview Information Recorded Job Execution Information Task Execution Information Default Implementation Rest Query API Example Queries Job Execution History Server Over... -
Retention
Introduction Design Overview of Gobblin Config Management Library Retention Constructs DatasetCleaner DatasetFinder ManagedCleanableDatasetFinder ConfigurableCleanableDataset ... -
Job Execution History Store
Overview Information Recorded Job Execution Information Task Execution Information Default Implementation Rest Query API Example Queries Job Execution History Server Over... -
Structured Streaming
Spark Structured Streaming Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. Spark DSv2 is an evolving API with different levels of support... -
DDL
Spark DDL To use Iceberg in Spark, first configure Spark catalogs . Iceberg uses Apache Spark’s DataSourceV2 API for data source and catalog implementations. CREATE TABLE Spark... -
Flink Configuration
Flink Configuration Catalog Configuration A catalog is created and named by executing the following query (replace <catalog_name> with your catalog name and <config_key> =<confi... -
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... -
Branching and Tagging
Branching and Tagging Overview Iceberg table metadata maintains a snapshot log, which represents the changes applied to a table. Snapshots are fundamental in Iceberg as they are ... -
第二节：用户主页 - 个人资料与活动流
学习目标 GitHub用户主页分析 主要区域和功能 页面基本结构 个人资料侧边栏实现 活动流时间线实现 移动设备适配注意事项 关键样式技术点 1. 侧边栏布局技术 2. 活动时间线 3. 贡献图表 4. 卡片设计模式 5. 悬停效果 常见问题与解决方案 问题1：保持侧边栏与主内容的平衡 问题2：活动时间线的样式一致性 问题3：移... -
JDBC
Gobblin JDBC writer & publisher Proposed design Requirements Design summary Design detail WriterInitializer JdbcWriterInitializer AvroFieldsPickConverter AvroToJdbcEntryConve...
