hive提前过滤重要性
hive提前过滤
create table sospdm.tmp_yinfei_test_01
(
id string
)
partitioned by (statis_date string)
; create table sospdm.tmp_yinfei_test_02
(
id string
)
partitioned by (statis_date string)
; select t1.*
from tmp_yinfei_test_01 t1
left join tmp_yinfei_test_02 t2
on t1.id=t2.id
where t1.statis_date='' and t2.statis_date=''
;
select t1.*
from tmp_yinfei_test_01 t1
left join tmp_yinfei_test_02 t2
on t1.id=t2.id and t1.statis_date='' and t2.statis_date=''
;
select t1.*
from
(
select * from tmp_yinfei_test_01 where statis_date=''
) t1
left join
(
select * from tmp_yinfei_test_02 where statis_date=''
) t2
on t1.id=t2.id
;
=========================test1===================================== explain select t1.*
from tmp_yinfei_test_01 t1
left join tmp_yinfei_test_02 t2
on t1.id=t2.id
where t1.statis_date='' and t2.statis_date=''
; hive> explain select t1.*
> from tmp_yinfei_test_01 t1
> left join tmp_yinfei_test_02 t2
> on t1.id=t2.id
> where t1.statis_date='' and t2.statis_date=''
> ;
OK
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1 STAGE PLANS:
Stage: Stage-1
Map Reduce
Map Operator Tree:
TableScan
alias: t1
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Filter Operator
predicate: (statis_date = '') (type: boolean)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Reduce Output Operator
key expressions: id (type: string)
sort order: +
Map-reduce partition columns: id (type: string)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
TableScan
alias: t2
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Reduce Output Operator
key expressions: id (type: string)
sort order: +
Map-reduce partition columns: id (type: string)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
value expressions: statis_date (type: string)
Reduce Operator Tree:
Join Operator
condition map:
Left Outer Join0 to 1
keys:
0 id (type: string)
1 id (type: string)
outputColumnNames: _col0, _col6
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Filter Operator
predicate: (_col6 = '') (type: boolean)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: _col0 (type: string), '' (type: string)
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
File Output Operator
compressed: true
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
table:
input format: org.apache.hadoop.mapred.TextInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe Stage: Stage-0
Fetch Operator
limit: -1
Processor Tree:
ListSink Time taken: 0.399 seconds, Fetched: 58 row(s) 结论:t2表会扫全表
=========================test2=====================================
explain select t1.*
from tmp_yinfei_test_01 t1
left join tmp_yinfei_test_02 t2
on t1.id=t2.id and t1.statis_date='' and t2.statis_date=''
;
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1 STAGE PLANS:
Stage: Stage-1
Map Reduce
Map Operator Tree:
TableScan
alias: t1
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Reduce Output Operator
key expressions: id (type: string)
sort order: +
Map-reduce partition columns: id (type: string)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
value expressions: statis_date (type: string)
TableScan
alias: t2
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Filter Operator
predicate: (statis_date = '') (type: boolean)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Reduce Output Operator
key expressions: id (type: string)
sort order: +
Map-reduce partition columns: id (type: string)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Reduce Operator Tree:
Join Operator
condition map:
Left Outer Join0 to 1
filter predicates:
0 {(VALUE._col0 = '')}
1
keys:
0 id (type: string)
1 id (type: string)
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
File Output Operator
compressed: true
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
table:
input format: org.apache.hadoop.mapred.TextInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe Stage: Stage-0
Fetch Operator
limit: -1
Processor Tree:
ListSink
结论:t1表会扫全表
=========================test3=====================================
explain select t1.*
from
(
select * from tmp_yinfei_test_01 where statis_date=''
) t1
left join
(
select * from tmp_yinfei_test_02 where statis_date=''
) t2
on t1.id=t2.id
;
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1 STAGE PLANS:
Stage: Stage-1
Map Reduce
Map Operator Tree:
TableScan
alias: tmp_yinfei_test_01
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Filter Operator
predicate: (statis_date = '') (type: boolean)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: id (type: string), '' (type: string)
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
value expressions: _col1 (type: string)
TableScan
alias: tmp_yinfei_test_02
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Filter Operator
predicate: (statis_date = '') (type: boolean)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: id (type: string)
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Reduce Operator Tree:
Join Operator
condition map:
Left Outer Join0 to 1
keys:
0 _col0 (type: string)
1 _col0 (type: string)
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
File Output Operator
compressed: true
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
table:
input format: org.apache.hadoop.mapred.TextInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe Stage: Stage-0
Fetch Operator
limit: -1
Processor Tree:
ListSink
hive提前过滤重要性的更多相关文章
- hive -- 协同过滤sql语句
hive -- 协同过滤sql语句 数据: *.3g.qq.com|腾讯应用宝|应用商店 *.91rb.com|91手机助手|应用商店 *.app.qq.com|腾讯应用宝|应用商店 *.haina. ...
- STREAMING HIVE流过滤 官网例子 注意中间用的py脚本
Simple Example Use Cases MovieLens User Ratings First, create a table with tab-delimited text file f ...
- hive条件过滤
where 过滤 %代表任意个字符,_代表一个字符; \\ 转移字符.\\_代表下划线
- Hive计算最大连续登陆天数
目录 一.背景 二.算法 1. 第一步:排序 2. 第二步:第二列与第三列做日期差值 3. 第三步:按第二列分组求和 4. 第四步:求最大次数 三.扩展(股票最大涨停天数) 强哥说他发现了财富密码,最 ...
- hadoop 数据倾斜
数据倾斜是指,map /reduce程序执行时,reduce节点大部分执行完毕,但是有一个或者几个reduce节点运行很慢,导致整个程序的处理时间很长,这是因为某一个key的条数比其他key多很多(有 ...
- orcFile split和读数据原理总结(hive0.13)
http://blog.csdn.net/zhaorongsheng/article/details/72903431 官网关于orcfile的介绍 背景 Hive的rcfile格式已经使用多年,但是 ...
- DataSkew 数据倾斜
date: 2020-04-21 19:38:00 updated: 2020-04-24 10:26:00 DataSkew 数据倾斜 1. Hive 里的数据倾斜 1.1 null值 空值 尽量提 ...
- MySQL之谓词下推
MySQL之谓词下推 什么是谓词 在SQL中,谓词就是返回boolean值即true或者false的函数,或是隐式转换为boolean的函数.SQL中的谓词主要有 LKIE.BETWEEN.IS NU ...
- 大数据SQL中的Join谓词下推,真的那么难懂?
听到谓词下推这个词,是不是觉得很高大上,找点资料看了半天才能搞懂概念和思想,借这个机会好好学习一下吧. 引用范欣欣大佬的博客中写道,以前经常满大街听到谓词下推,然而对谓词下推却总感觉懵懵懂懂,并不明白 ...
随机推荐
- 改造 Android 官方架构组件 ViewModel
前言 Android 官方架构组件在今年 5 月份 Google I/O 大会上被公布, 直到 11 月份一直都是测试版, 由于工作比较繁忙, 期间我只是看过类似的文章, 但没有在实际项目中使用过, ...
- 2018 github热门项目
github流行的几个项目,我们来学习一下. 1. developer-roadmap-chinese image.png 项目简介:2018年web程序员路线中文版, 这个仓库里包含了一些前端,后端 ...
- with文件操作
enumeratef = open('lyrics',"r",encoding=""utf-8) #文件句柄"""对文件操作流程 ...
- Confluence 6 影响语言的其他设置
一个独立的用户可以在 Confluence 中选择应用到界面文字和消息中的语言.请注意,支持的语言类型基于在 Confluence 中安装的语言包. 你登录使用 Confluence 回话的语言基于下 ...
- 学习Spring Boot:(一)入门
微服务 现在微服务越来越火了,Spring Boot热度蹭蹭直升,自学下. 微服务其实是服务化思路的一种最佳实践方向,遵循SOA(面向服务的架构)的思路,各个企业在服务化治理上面的道路已经走得很远了, ...
- BeautifulSoup的基本操作
>>> from bs4 import BeautifulSoup #导入 >>> soup = BeautifulSoup(url.content," ...
- 关系代数和sql语句对应关系
关系代数运算符 对应sql语句 聚合操作 ∪ (UNION)并 ∩ (INTERSECTION)交 - (DIFFERENCE)差 × (Cartesian PRODUCT)笛卡尔积 ...
- MYSQL之 error while loading shared libraries: libtinfo.so.5: cannot open shared objectfile: No such f
环境:ubuntu18 登陆MYSQL时遇到错误:mysql: error while loading shared libraries: libtinfo.so.5: cannot open sha ...
- jmeter 控制线程组执行顺序
这个要配合全局变量.if和while来实现BeanShell取样器,全局变量:${__setProperty(newswitch,${switch1},)}if条件:"${__P(newsw ...
- js 浮点数相加 变成字符串 解决方案
var count = 0; count+=Number(parseFloat(value[i]['sla']).toFixed(2)); 数字相加的时候最好使用Number转换一下