1.hive 参数、变量

1.1hive的命名空间:

hive当中的参数、变量,都是以命名空间开头
 
aaarticlea/png;base64,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" alt="" />
 
通过${}方式进行引用,其中system、env下的变量必须以前缀开头

1.2hive 参数设置方式

1、修改配置文件 ${HIVE_HOME}/conf/hive-site.xml
2、启动hive cli时,通过--hiveconf key=value的方式进行设置
例:hive --hiveconf hive.cli.print.header=true
3、进入cli之后,通过使用set命令设置
默认是false
aaarticlea/png;base64,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" alt="" />

1.3hive set命令

在hive CLI控制台可以通过set对hive中的参数进行查询、设置
set设置:
set hive.cli.print.header=true;

set查看

set hive.cli.print.header
hive参数持久化配置
当前用户家目录下的.hiverc文件
如:   ~/.hiverc
aaarticlea/png;base64,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" alt="" />
进入hive客户端查看
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAewAAAArCAYAAAC6sLvYAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAc0SURBVHhe7Z1JcsM2EEV1jOyzzC5LHcgXyQV0Gl0lCx+GATHQGLqBpkUxJPVeFcplEkOjm/pfolX07c+//p7++OffCQ7A82u63W4/7esZT8CxeE5frj6UBw4BuvExYNgAAAAnAMMGAAA4ARg2AADACcCwAQAATgCGDQAAcAIGhr3227B8e/Z3XDTPq7+9erR9HSGeA8Tg6/jlIgGA/xMMexO+p8f9Nt0f3/H3tVw/z8+vTzXsva+NN4BhAxyCjQ37U7mAKL8Zm2FfEQwbALbBaNjhZ7q12YjP92O6Z+dbcZFF6/txn273hzubUd1GLcZsKhzlnm63+yRqai+eZo6srVLYg+V5DVVM2r67hj3clwVjDmeW6yjvm11Xw3gsa5XnirZqg5a1Ioaa+msh6yPFUvZxeZFed5brZ5TnSFpPnAMAFkyGnb/IwotLMbfYX9Kj1jQEc4kisIyPwpnP54Xfx+TaKuHLCWuX4+djsij14gnIRmnneHk2Uc8z445J87z/lnjKYZazuK+mLj7u+3Qv6v2cHk2ytXjW1Guna8NSU9enjKN9HTRzx3kKo7WsNWPMc1jzlRwBfAYmwy5eSF1x1wTO4cfVQpCLTiseM60BJZKQhSbHoyHsq2FNPNuI8jHzrCHPo7GXYdc1EPdVG46KFs+aeu1xbbxQU5+LZKhyrH6eqo9pLXOeAcDCL/6GrYnYTO9cKQbtC1wQpplCUBS65iZTfFIXx66JZxtRPnyeC3oxtOxl2M1YaV/+WP4mRkOLRzqu9d3j2gi/j2sazdb1LVvqo+yhmMe6lsOcZwCwsKNh5+YhiVgY24rJ3Coh8JT9tTXHZPMUk6yJ50iGvXWeNfox1BzPsC171eKRjmt99zPsfk2jWYufglMfZQ9Cn/5aEXOeAcDCroYdPgm7d9zP+jbtTBAUdawnik4SiH7nVXiTK8TFEk9iD1HOeXeeLcRaGCc63i1xi5Fo8UjHtb57XBuWmsrxlde9HKvUp79WBMMG2JR9DTu+2L3Z1iI6I73AZ/NJE24mAC7Oan1vKBZhz+PJEMebOVieM4JYK4bj56nicPM8hLjaN0QSo3314gljpS9MNX3N15EWj3Rcj91ybYz2NVxrWNN4TeSDYv2Kcf5Ym8O2T2+tiDXPMQ7xGgOAhU0M2wuSf1HXrX2xdg1gZhGI2H5tggOs65jjCXlZ+tXi1eW4ed6uXtmbiGq+bfaV8lXWQYx7YCTjeGz1+qGMSbo2XjbsmWEtqjjm80IuUiyhuXOaQddzxVMLGDbApgwMG+As9AwTjozlDgQAYNhwGTDsc0LdAKxg2HAREH4AuDYYNgAAwAnAsAEAAE4Ahg0AAHACMGwAAIATgGEDAACcgIFhr/3m7Um+qRsf1LC0YcBH29cR4jlADNYHcwAAXIDPNOwM/9CGYcBXNOzw5LHfP10Kw349hwAAdjY27PNhM+wrgmG/DoYNAPthNOzwM91CbgSqeq5wK+KysPlnFtePJKxuV/9aDOtnHSvO0jXs4b4sGHM4sxhQ3jczpGE8lrXKc0VbtUHLWhFDTcvnV7smxGJ6xrXl+hnleciKHHbXSjn0v0SkYw7LvgDg0pgMOxezIJr1v2xMKGLjaM1ZMPEoSsv4aFDSfF3qeWbcMWme998STzm0/hep+3S/5+bxnB5NsrV41tRrm0/Yw7UsNXV9yjhCbHldmrmXNy9ZrixrzfTyHOfQWjmXIYe9tdzPto7CMeu+AODSmAy7EKSuWEgCFPHjasHNxb0V6ZnW6EfI82jsZdi1qIv7qoVZRYtnTb22Mez+Wi/U1OcimZwcazDxso9pLXOeRxhy2F1LqmN97IUcAsCl+MXfsKVjid65UtxawQljG/ErhNtCL4aWvQy7GSvtyx+TPg3XaPFIx7W+BrPpYlkr/D6uaTQl17dsqY+yh2Ie61oOc55HWA1bW2vLHALA1dnRsHOTloQujG1Fe25rhKkfQ83xDNuyVy0e6bjWdz/D7tc0mrX4KTj1UfYg9OmvFenl2Z+T5gitjMFq2MpaMebXcwgAn8Cuhu0cO9wGf9a3w2eC+KljzUQDME50vFviFhHW4pGOa333MGxLTeX4fH6WXMixSn36a0XMeR5hyOFaw1b+rGDaFwBcmn0NO4qP/3Qg/f1NErdZwIQJg1grYunnqeJw8zyEuErR1xjtqxdPGFvcFo2i3PTd1bDn5ZQ6ZIz2NVxrWNN4TeSDYv2Kcf5Ym8O2T2+tiDnPY4Y57K4V956N9/OtziEAfAKbGHYSmba1QtU12plFiGNTxHCreVzHnzcR1Xzb7CvlK/xMc4hxD4xkHI+tXj+UMUl3Gl427JlhLao45vNCLlIsoblzmpHVc8VTC4M8r2OQw9FaVbzpOlmfQwC4OgPDhtdRBBgAAGAFGPbbwbABAOB1MOy3g2EDAMDrYNgAAAAnAMMGAAA4ARg2AADACcCwAQAADs80/QclYmF2KsPmLAAAAABJRU5ErkJggg==" alt="" />
如果没有,可直接创建该文件,将需要设置的参数写到该文件中,hive启动运行时,会加载改文件中的配置。
hive历史操作命令集
~/.hivehistory
 

2.hive动态分区

示例:

2.1数据文件data3

[root@node04 ~]# cat data3
1,小明1,10,boy,lol-book-movie,beijing:changping-shanghai:pudong
2,小明2,10,man,lol-book-movie,beijing:changping-shanghai:pudong
3,小明3,10,man,lol-book-movie,beijing:changping-shanghai:pudong
4,小明4,20,man,lol-book-movie,beijing:changping-shanghai:pudong
5,小明5,20,boy,lol-movie,beijing:changping-shanghai:pudong
6,小明6,20,boy,lol-book-movie,beijing:changping-shanghai:pudong
7,小明7,20,boy,lol-book,beijing:changping-shanghai:pudong
8,小明8,10,boy,lol-book,beijing:changping-shanghai:pudong
9,小明9,10,boy,lol-book-movie,beijing:changping-shanghai:pudong 

2.2创建表psn21

create table psn21(
id int,
name string,
age int,
sex string,
likes array<string>,
address map<string,string>
)
row format delimited
fields terminated by ','
collection items terminated by '-'
map keys terminated by ':'
lines terminated by '\n';

2.3加载data3数据到psn21表

load data local inpath '/root/data3' into table psn21;
 

2.4创建一个带分区的表psn22

create table psn22(
id int,
name string,
likes array<string>,
address map<string,string>
)
partitioned by(age int,sex string)
row format delimited
fields terminated by ','
collection items terminated by '-'
map keys terminated by ':'
lines terminated by '\n';

2.4将psn21的表导入到带分区的psn22表:

#在hive2.x版本如果直接将psn21查询到的对应字段插入到psn22表,会报错。.x版本是可以的
from psn21 insert into psn22 select id,name,likes,address,age,sex;
#正确操作应该用一个关键字 distribute by partition1,partition2
from psn21 insert into psn22 select id,name,likes,address,age,sex distribute by age,sex;
 

3.常用参数设置

3.1开启支持动态分区

默认:false
set hive.exec.dynamic.partition=true;
默认:strict(至少有一个分区列是静态分区)
set hive.exec.dynamic.partition.mode=nostrict; 
 

3.2相关参数

每一个执行mr节点上,允许创建的动态分区的最大数量(100)
set hive.exec.max.dynamic.partitions.pernode;
所有执行mr节点上,允许创建的所有动态分区的最大数量(1000)
set hive.exec.max.dynamic.partitions;
所有的mr job允许创建的文件的最大数量(100000)
set hive.exec.max.created.files;
 

hive学习(六) 参数和动态分区的更多相关文章

  1. Hive学习之修改表、分区、列

    Hive学习之修改表.分区.列 https://blog.csdn.net/skywalker_only/article/details/30224309 https://www.cnblogs.co ...

  2. Hive Experiment 2(表动态分区和IDE)

    1.使用oracle sql developer 4.0.3作为hive query的IDE. 下载hive-jdbc driver http://www.cloudera.com/content/c ...

  3. 对现有Hive的大表进行动态分区

    分区是在处理大型事实表时常用的方法.分区的好处在于缩小查询扫描范围,从而提高速度.分区分为两种:静态分区static partition和动态分区dynamic partition.静态分区和动态分区 ...

  4. hive学习05 参数设置

    001参数设置 hive执行命令的本质是mapreduce,当然也可以作为关系型数据库进行查询 --设置一个job有多少个reducer处理,依据多少的是文件的大小,默认1G set hive.exe ...

  5. Hive动态分区 参数配置及语法

    Hive本身是不支持动态分区的.. 但动态分区是真的方便啊..不然手动维护要累死..按日期甚至小时来分区时动辄就好几千上万的分区..手动到哪一年去..? 想要用动态分区要先做一些设置来修改默认的配置. ...

  6. hive动态分区和混合分区

    各位看官,今天我们来讨论下再Hive中的动态分区和混合分区方面的一些知识点以及相关的一些问题. 前面我们已经讲过管理表和外部表的一般分区的一些知识点,对于需要对表创建很多的分区,那么用户就需要些很多的 ...

  7. hive 动态分区实现 (hive-1.1.0)

    笔者使用的hive版本是hive-1.1.0 hive-1.1.0动态分区的默认实现是只有map没有reduce,通过执行计划就可以看出来.(执行计划如下) insert overwrite tabl ...

  8. hive中简单介绍分区表(partition table)——动态分区(dynamic partition)、静态分区(static partition)

    一.基本概念 hive中分区表分为:范围分区.列表分区.hash分区.混合分区等. 分区列:分区列不是表中的一个实际的字段,而是一个或者多个伪列.翻译一下是:“在表的数据文件中实际上并不保存分区列的信 ...

  9. hive从查询中获取数据插入到表或动态分区

    Hive的insert语句能够从查询语句中获取数据,并同时将数据Load到目标表中.现在假定有一个已有数据的表staged_employees(雇员信息全量表),所属国家cnty和所属州st是该表的两 ...

随机推荐

  1. python基础----多态与多态性、super函数用法、继承原理

    一.多态与多态性                                                                        ㈠多态: 多态指的是一类事物有多种形态, ...

  2. spoj694 DISUBSTR - Distinct Substrings

    Given a string, we need to find the total number of its distinct substrings. Input T- number of test ...

  3. [NOI2010] 能量采集 (数学)

    [NOI2010] 能量采集 题目描述 栋栋有一块长方形的地,他在地上种了一种能量植物,这种植物可以采集太阳光的能量.在这些植物采集能量后,栋栋再使用一个能量汇集机器把这些植物采集到的能量汇集到一起. ...

  4. 「电脑应用」在mac上使用aria2

    Chrome 一. 需要工具: Chrome浏览器,Aria2GUI,Chrome里BaiduExporter插件. 首先先明确一件事情,平时生活中使用的所有工具都建议到官方下载,此处用到的几样提供给 ...

  5. C#微信开发系列笔记(1)入门指引

    (1)基本配置 这节具体的详情请看官方文档,我只提示一点,非常重要,非常容易忽视的,我是吃了苦头的... 在“修改配置”这个地方,如下图: 在URL处,一定要填写http://www.xxx.com/ ...

  6. Install Terraform on Windows, Linux and Mac OS

    Step-by-step tutorial of how to download and install Terraform on Windows, Linux and Mac OS. Terrafo ...

  7. Bootstrap 按钮下拉菜单

    向下拉 <div class="dropdown"> <button class="btn btn-default" data-toggle= ...

  8. 嵌入式 视频编码(H264)hi3518

    这几天在编写视频录制模块,所以,闲暇之余,又粗粗的整理了一下,主要是API,以备不时之用    摄像头获取的模拟信号通过经芯片处理(我们使用的是CX25825),将模拟信号转成数字信号,产生标准的IT ...

  9. ASP.NET Core的身份认证框架IdentityServer4--IdentityServer相关文章【记录】

    Identity Server 4 预备知识 -- OpenID Connect 简介: 原文地址

  10. 2017北京国庆刷题Day4 afternoon

    期望得分:100+100+0=200 实际得分:5+0+0=5 每加入一个数,x的因数位置++ 注意:根号x枚举时,如果x是完全平方数,根号x会重复累计2次,要减去 考场上没减,5分 /(ㄒoㄒ)/~ ...