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

  1. 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. ...

  2. 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 ...

  3. 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

  4. 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 ...

  5. 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 ...

  6. 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 ...

  7. 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 ...

  8. 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 ...

  9. 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

  1. aview安装和使用

    一.安装aalibwget https://sourceforge.net/projects/aa-project/files/latest/download?source=files --no-ch ...

  2. STM32L476应用开发之四:触摸屏驱动与数据交互

    数据交互可以说是任何一台仪器都需要的功能.我们的便携式气体分析仪,需要人来操作和配置,所以触摸屏就是我们必然的一个选择.本次我们计划采用3.5寸显示屏,串口通讯. 1.硬件设计 前面我们实验了串行通讯 ...

  3. SpringData使用与整合

    SpringData 整合源码:链接: https://pan.baidu.com/s/1_dDEEJoqaBTfXs2ZWsvKvA 提取码: cp6s(jar包自行寻找) author:Simpl ...

  4. C#概念总结(一)

    1.C#程序的框架问题 首先是命名的空间申明   (NameSpace delclaration) 一个 ClASS class 方法 class属性 一个main 的方法 语句(Statement) ...

  5. hdu1198 普通的并查集

    今天开始(第三轮)并查集,,之前学的忘了一些 本题很简单直接上代码 #include<iostream> #include<cstring> #include<cstdi ...

  6. day4-list,列表

    dist: 增:1.append(obj),在列表最后添加元素: 2.insert(index,object),在索引处添加元素: 3.extend,迭代添加元素,所添加元素必须可迭代. 删:1.po ...

  7. Java 单字节、多字节读取文本文档中的内容

    文本文档位于工程下. 鼠标右击工程,选择“new - File”,即可创建. 文本文档的格式:GBK 单字节读取 import java.io.File; import java.io.FileInp ...

  8. 简单(基本)的风光摄影照片后期处理-新手教程-ps照片后期基本处理

    前言 Photoshop虽然不是万能的,但缺少Photoshop却是万万不能的!风光摄影不是一个记录过程,做到的不能仅仅是“拍到了”,我觉得应该是一个创作的过程,特别是在后期处理的过程中,创作意味更浓 ...

  9. 使用7zip批量压缩文件夹到不同压缩包

    for /d %%X in (*) do "c:\Program Files\7-Zip\7z.exe" a "%%X.7z" "%%X\" ...

  10. python获取信息

    import uuid import socket def get_mac(): mac=uuid.UUID(int = uuid.getnode()).hex[-12:] return " ...