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Kyuubi v.s. HiveServer2
Introduction Hive on Spark Differences Between Kyuubi and HiveServer2 Performance References Introduction HiveServer2 is a service that enables clients to execute Hive QL qu... -
Oracle Prerequisite
Due to limitations in Amazon RDS , the Ranger database user and tablespace must be created manually and the required privileges must be manually granted to the Ranger database use... -
4.19 Put together all code in the appendix (*)
Unless the target readers are highly interested in the computational details while they read a report, you may not want to show the source code blocks in the report. For this purp... -
Socket
Support Those Engines Key features Description Sink Options Task Example Changelog 2.2.0-beta 2022-09-26 Socket sink connector Support Those Engines Spark Flink SeaTu... -
任务定义
批量任务定义 实时任务定义 批量任务定义 批量任务定义允许您在基于任务级别而不是在工作流中操作修改任务。再此之前，我们已经有了工作流级别的任务编辑器，你可以在工作流定义 单击特定的工作流，然后编辑任务的定义。当您想编辑特定的任务定义但不记得它属于哪个工作流时，这是令人沮丧的。所以我们决定在 任务 菜单下添加 任务定义 视图。 在该视图中，... -
Configuring a Database Instance for Ranger
A MySQL, Oracle, PostgreSQL, or Amazon RDS database instance must be running and available to be used by Ranger. The Ranger installation will create two new users (default names: ... -
About the Authors
Yihui typed out most of the words in this book, which is the only justification for him being the “first” author. Christophe has made substantial contribution to this book by help... -
10 Tables
References Tables are one of the primary ways in which we can communicate results in a report. You may often desire to tweak their appearance to suit your particular needs. In th... -
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... -
Introduction
Documentation Apache Iceberg is an open table format for huge analytic datasets. Iceberg adds tables to compute engines including Spark, Trino, PrestoDB, Flink, Hive and Impala u...
