5 Ways to Make Your Hive Queries Run Faster Technique #1: Use Tez  Hive can use the Apache Tez execution engine instead of the venerable Map-reduce engine. I won’t go into details about the many benefits of using Tez which are mentioned here; instead…

近段时间发现公司的HDP大数据平台的tez-ui页面不能用了,页面显示为空,导致通过hive提交的sql不能方便地查找到Yarn上对应的applicationId,只能通过beeline的屏幕输出信息.hiveserver2的日志.yarn的日志等一步步去查找,非常麻烦(查找方法见上一篇博客“如何找到Hive提交的SQL相对应的Yarn程序的applicationId”).因此下决心解决这个问题. 于是找时间去了解了一下tez-ui的原理,它其实是Tez项目下的一个子项目(web项目),可以单独…

Short Description: Hive configuration settings to optimize your HiveQL when querying ORC formatted tables. Article SYNOPSIS The Optimized Row Columnar (ORC) file is a columnar storage format for Hive. Specific Hive configuration settings for ORC form…

题目大意: 已知 $$ b_i = \sum_{j=1}^n {(i,j)^d [i,j]^c x_j}$$,给定 $b_i$ 求解 $x_i$ 解法: 考虑 $f(n) = \sum_{d|n}{fr(d)}$,这样有 $$\sum_{t|i}{fr(t) \sum_{t|j}{j^d x_j}  }  = b_i$$ 容斥得 $fr(i) \sum_{i|j}{j^d x_j}$ 其中 $fr(n)$ 可以容斥得到,再次容斥得到 $x_i$ 注意在除以 $fr(i)$ 时会产生无解,多解的情…

5 WAYS TO MAKE YOUR HIVE QUERIES RUN FASTER 今天看了一篇[文章] (http://zh.hortonworks.com/blog/5-ways-make-hive-queries-run-faster/),讲述了优化Hive的5个建议.其中每个建议细说的话,都可以写一篇或者多篇文章.下面简要记录下,后续慢慢补充: 1: USE TEZ Tez 是一个开源的支持DAG作业的计算框架,它来源于MapReduce框架.可以通过设置 set hive.exec…

<Programming Hive>读书笔记(一)Hadoop和Hive环境搭建             先把主要的技术和工具学好,才干更高效地思考和工作.   Chapter 1.Introduction 简单介绍 Chapter 2.Getting Started 环境配置 Hadoop版本号会更新,以官方安装教程为准 http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/SingleCluster.…

Reference: http://blogs.msdn.com/b/felixmar/archive/2011/02/14/partitioning-amp-archiving-tables-in-sql-server-part-1-the-basics.aspx Database partitioning is a feature available in SQL Server(version 2005 and Up) which lets you split a table among m…

Covering Indexes in MySQL, PostgreSQL, and MongoDB - Orange Matter https://orangematter.solarwinds.com/2019/02/01/covering-indexes-in-mysql-postgresql-and-mongodb/ Query Optimization - MongoDB Manual https://docs.mongodb.com/manual/core/query-optimiz…

Writing GenericUDAFs: A Tutorial User-Defined Aggregation Functions (UDAFs) are an excellent way to integrate advanced data-processing into Hive. Hive allows two varieties of UDAFs: simple and generic. Simple UDAFs, as the name implies, are rather si…

GettingStarted 开始 Created by Confluence Administrator, last modified by Lefty Leverenz on Jun 15, 2017 本文档由Confluence管理员创建,2017年6月15日由Lefty Leverenz最后做的修改. Table of Contents 表格内容包含 Installation and Configuration    安装和配置 Running HiveServer2 and Beeli…