-
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... -
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 ... -
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... -
Configure Kyuubi to Use JDBC Authentication
Enable JDBC Authentication Configure the authentication properties Authentication with In-memory Database Kyuubi supports authentication via JDBC query. A query is prepared wit... -
4.8 Update the date automatically
If you want the date on which the Rmd document is compiled to be reflected in the output report, you can add an inline R expression to the date field in YAML, and use the Sys.Dat... -
JVM 监控
进程级监控 埋点方式 本讲介绍JVM监控相关知识。 进程级监控 Java类的程序，如果只是监控端口存活性，可以直接使用 Categraf 的 net_response 插件，如果只是监控进程存活性，以及进程的CPU、内存等使用率，这个和C的程序、Go的程序没有本质区别，使用 Categraf 的 procstat 插件。 procstat 插... -
Flink Queries
Flink Queries Iceberg support streaming and batch read With Apache Flink ‘s DataStream API and Table API. Reading with SQL Iceberg support both streaming and batch read in Flink... -
Chaining
_(value) Aliases Arguments Returns Example _.tap(value, interceptor) Arguments Returns Example _.prototype.toString() Returns Example _.prototype.valueOf() Aliases Ret... -
Java Quickstart
Java API Quickstart Create a table Tables are created using either a Catalog or an implementation of the Tables interface. Using a Hive catalog The Hive catalog connects to...
