最近BA用户反馈有两句看似很像的语句返回的结果数不一样,比较奇怪,怀疑是不是Hive的Bug

Query 1 返回结果数6071

select count(distinct reviewid) as dis_reviewcnt
from
(select a.reviewid
from bi.dpods_dp_reviewreport a
left outer join bi.dpods_dp_reviewlog b
on a.reviewid=b.reviewid and b.hp_statdate='2013-07-24'
where to_date(a.feedadddate) >= '2013-07-01' and a.hp_statdate='2013-07-24'
) a

Query 2 返回结果数6443

select count(distinct reviewid) as dis_reviewcnt
from
(select a.reviewid
from bi.dpods_dp_reviewreport a
left outer join bi.dpods_dp_reviewlog b
on a.reviewid=b.reviewid and b.hp_statdate='2013-07-24' and a.hp_statdate='2013-07-24'
where to_date(a.feedadddate) >= '2013-07-01'
) a

第二条query比第一条多了372条数据,而且在子查询的左表中并不存在

两条语句唯一的区别是dpods_dp_reviewreport的分区过滤条件(hp_statdate是partition column)一个在where后面,另一个在on后面

粗看感觉出来的数据应该是一样的,但是玄机其实就在where和on的区别。

where 后面跟的是过滤条件,query 1 中的a.hp_statdate='2013-07-24', 在table scan之前就会Partition Pruner 过滤分区,所以只有'2013-07-24'下的数据会和dpods_dp_reviewlog进行join。

而query 2中会读入所有partition下的数据,再和dpods_dp_reviewlog join,并且根据join的关联条件只有a.hp_statdate='2013-07-24'的时候才会真正执行join,其余情况下又由于是left outer join, join不上右面会留NULL,query 2中其实是取出了所有的reviewid,所以会和query 1 结果不一样

可以做一个实验,query2去掉on后面的a.hp_statdate='2013-07-24',其余不动,执行语句,出来的distinct reviewcnt 也是 6443

select count(distinct reviewid) as dis_reviewcnt
from
(select a.reviewid
from bi.dpods_dp_reviewreport a
left outer join bi.dpods_dp_reviewlog b
on a.reviewid=b.reviewid and b.hp_statdate='2013-07-24'
where to_date(a.feedadddate) >= '2013-07-01'
) a

query 1的query plan

ABSTRACT SYNTAX TREE:
(TOK_QUERY (TOK_FROM (TOK_SUBQUERY (TOK_QUERY (TOK_FROM (TOK_LEFTOUTERJOIN (TOK_TABREF (TOK_TABNAME bi dpods_dp_reviewreport) a) (TOK_TABREF (TOK_TABNAME bi dpods_dp_reviewlog) b) (and (= (. (TOK_TABLE_OR_COL a) reviewid) (. (TOK_TABLE_OR_COL b) reviewid)) (= (. (TOK_TABLE_OR_COL b) hp_statdate) '2013-07-24')))) (TOK_INSERT (TOK_DESTINATION (TOK_DIR TOK_TMP_FILE)) (TOK_SELECT (TOK_SELEXPR (. (TOK_TABLE_OR_COL a) reviewid))) (TOK_WHERE (and (>= (TOK_FUNCTION to_date (. (TOK_TABLE_OR_COL a) feedadddate)) '2013-07-01') (= (. (TOK_TABLE_OR_COL a) hp_statdate) '2013-07-24'))))) a)) (TOK_INSERT (TOK_DESTINATION (TOK_DIR TOK_TMP_FILE)) (TOK_SELECT (TOK_SELEXPR (TOK_FUNCTIONDI count (TOK_TABLE_OR_COL reviewid)) dis_reviewcnt)))) STAGE DEPENDENCIES:
Stage-5 is a root stage , consists of Stage-1
Stage-1
Stage-2 depends on stages: Stage-1
Stage-0 is a root stage STAGE PLANS:
Stage: Stage-5
Conditional Operator Stage: Stage-1
Map Reduce
Alias -> Map Operator Tree:
a:a
TableScan
alias: a
Filter Operator
predicate:
expr: (to_date(feedadddate) >= '2013-07-01')
type: boolean
Reduce Output Operator
key expressions:
expr: reviewid
type: int
sort order: +
Map-reduce partition columns:
expr: reviewid
type: int
tag: 0
value expressions:
expr: feedadddate
type: string
expr: reviewid
type: int
expr: hp_statdate
type: string
a:b
TableScan
alias: b
Reduce Output Operator
key expressions:
expr: reviewid
type: int
sort order: +
Map-reduce partition columns:
expr: reviewid
type: int
tag: 1
Reduce Operator Tree:
Join Operator
condition map:
Left Outer Join0 to 1
condition expressions:
0 {VALUE._col5} {VALUE._col8} {VALUE._col17}
1
handleSkewJoin: false
outputColumnNames: _col5, _col8, _col17
Select Operator
expressions:
expr: _col8
type: int
outputColumnNames: _col0
Select Operator
expressions:
expr: _col0
type: int
outputColumnNames: _col0
Group By Operator
aggregations:
expr: count(DISTINCT _col0)
bucketGroup: false
keys:
expr: _col0
type: int
mode: hash
outputColumnNames: _col0, _col1
File Output Operator
compressed: true
GlobalTableId: 0
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat Stage: Stage-2
Map Reduce
Alias -> Map Operator Tree:
hdfs://10.2.6.102/tmp/hive-hadoop/hive_2013-07-26_18-10-59_408_7272696604651905662/-mr-10002
Reduce Output Operator
key expressions:
expr: _col0
type: int
sort order: +
tag: -1
value expressions:
expr: _col1
type: bigint
Reduce Operator Tree:
Group By Operator
aggregations:
expr: count(DISTINCT KEY._col0:0._col0)
bucketGroup: false
mode: mergepartial
outputColumnNames: _col0
Select Operator
expressions:
expr: _col0
type: bigint
outputColumnNames: _col0
File Output Operator
compressed: false
GlobalTableId: 0
table:
input format: org.apache.hadoop.mapred.TextInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat Stage: Stage-0
Fetch Operator
limit: -1

Query 2的query plan

ABSTRACT SYNTAX TREE:
(TOK_QUERY (TOK_FROM (TOK_SUBQUERY (TOK_QUERY (TOK_FROM (TOK_LEFTOUTERJOIN (TOK_TABREF (TOK_TABNAME bi dpods_dp_reviewreport) a) (TOK_TABREF (TOK_TABNAME bi dpods_dp_reviewlog) b) (and (and (= (. (TOK_TABLE_OR_COL a) reviewid) (. (TOK_TABLE_OR_COL b) reviewid)) (= (. (TOK_TABLE_OR_COL b) hp_statdate) '2013-07-24')) (= (. (TOK_TABLE_OR_COL a) hp_statdate) '2013-07-24')))) (TOK_INSERT (TOK_DESTINATION (TOK_DIR TOK_TMP_FILE)) (TOK_SELECT (TOK_SELEXPR (. (TOK_TABLE_OR_COL a) reviewid))) (TOK_WHERE (>= (TOK_FUNCTION to_date (. (TOK_TABLE_OR_COL a) feedadddate)) '2013-07-01')))) a)) (TOK_INSERT (TOK_DESTINATION (TOK_DIR TOK_TMP_FILE)) (TOK_SELECT (TOK_SELEXPR (TOK_FUNCTIONDI count (TOK_TABLE_OR_COL reviewid)) dis_reviewcnt)))) STAGE DEPENDENCIES:
Stage-5 is a root stage , consists of Stage-1
Stage-1
Stage-2 depends on stages: Stage-1
Stage-0 is a root stage STAGE PLANS:
Stage: Stage-5
Conditional Operator Stage: Stage-1
Map Reduce
Alias -> Map Operator Tree:
a:a
TableScan
alias: a
Filter Operator
predicate:
expr: (to_date(feedadddate) >= '2013-07-01')
type: boolean
Reduce Output Operator
key expressions:
expr: reviewid
type: int
sort order: +
Map-reduce partition columns:
expr: reviewid
type: int
tag: 0
value expressions:
expr: feedadddate
type: string
expr: reviewid
type: int
expr: hp_statdate
type: string
a:b
TableScan
alias: b
Reduce Output Operator
key expressions:
expr: reviewid
type: int
sort order: +
Map-reduce partition columns:
expr: reviewid
type: int
tag: 1
Reduce Operator Tree:
Join Operator
condition map:
Left Outer Join0 to 1
condition expressions:
0 {VALUE._col5} {VALUE._col8}
1
filter predicates:
0 {(VALUE._col17 = '2013-07-24')}
1
handleSkewJoin: false
outputColumnNames: _col5, _col8
Select Operator
expressions:
expr: _col8
type: int
outputColumnNames: _col0
Select Operator
expressions:
expr: _col0
type: int
outputColumnNames: _col0
Group By Operator
aggregations:
expr: count(DISTINCT _col0)
bucketGroup: false
keys:
expr: _col0
type: int
mode: hash
outputColumnNames: _col0, _col1
File Output Operator
compressed: true
GlobalTableId: 0
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat Stage: Stage-2
Map Reduce
Alias -> Map Operator Tree:
hdfs://10.2.6.102/tmp/hive-hadoop/hive_2013-07-26_18-13-32_879_3623450294049807419/-mr-10002
Reduce Output Operator
key expressions:
expr: _col0
type: int
sort order: +
tag: -1
value expressions:
expr: _col1
type: bigint
Reduce Operator Tree:
Group By Operator
aggregations:
expr: count(DISTINCT KEY._col0:0._col0)
bucketGroup: false
mode: mergepartial
outputColumnNames: _col0
Select Operator
expressions:
expr: _col0
type: bigint
outputColumnNames: _col0
File Output Operator
compressed: false
GlobalTableId: 0
table:
input format: org.apache.hadoop.mapred.TextInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat Stage: Stage-0
Fetch Operator
limit: -1

参考:

http://blog.sina.com.cn/s/blog_6ff05a2c01010oxp.html

hive left outer join的问题的更多相关文章

  1. HIVE中join、semi join、outer join举例详解

    转自 http://www.cnblogs.com/xd502djj/archive/2013/01/18/2866662.html 举例子: hive> select * from zz0;  ...

  2. hive中left join、left outer join和left semi join的区别

    先说结论,再举例子.   hive中,left join与left outer join等价.   left semi join与left outer join的区别:left semi join相当 ...

  3. HIVE中join、semi join、outer join

    补充说明 left outer join where is not null与left semi join的联系与区别:两者均可实现exists in操作,不同的是,前者允许右表的字段在select或 ...

  4. hive 包含操作(left semi join)(left outer join = in)迪卡尔积

    目前hive不支持 in或not in 中包含查询子句的语法,所以只能通过left join实现. 假设有一个登陆表login(当天登陆记录,只有一个uid),和一个用户注册表regusers(当天注 ...

  5. hive regex insert join group cli

    1.insert Insert时,from子句既能够放在select子句后,也能够放在insert子句前,以下两句是等价的 hive> FROM invites a INSERT OVERWRI ...

  6. 一起学Hive——总结各种Join连接的用法

    Hive支持常用的SQL join语句,例如内连接.左外连接.右外连接以及HiVe独有的map端连接.其中map端连接是用于优化Hive连接查询的一个重要技巧. 在介绍各种连接之前,先准备好表和数据. ...

  7. hive中的join

    建表 : jdbc:hive2://localhost:10000> create database myjoin; No rows affected (3.78 seconds) : jdbc ...

  8. Oracle Partition Outer Join 稠化报表

    partition outer join实现将稀疏数据转为稠密数据,举例: with t as (select deptno, job, sum(sal) sum_sal from emp group ...

  9. SQL Server 2008 R2——使用FULL OUTER JOIN实现多表信息汇总

    =================================版权声明================================= 版权声明:原创文章 谢绝转载  请通过右侧公告中的“联系邮 ...

随机推荐

  1. 浅谈JavaScript中继承的实现

    谈到js中的面向对象编程,都有一个共同点,选择原型属性还是构造函数,两者各有利弊,而就片面的从js的对象创建以及继承的实现两个方面来说,官方所推荐的是两个相结合,各尽其责,各取其长,在前面的例子中,我 ...

  2. iOS8开发~UI布局(二)storyboard中autolayout和size class的使用具体解释

    一.概要:前一篇初步的描写叙述了size class的概念,那么实际中怎样使用呢,以下两个问题是我们一定会遇到的: 1.Xcode6中添加了size class,在storyboard中怎样使用? 2 ...

  3. BEGINNING SHAREPOINT® 2013 DEVELOPMENT 第3章节--SharePoint 2013 开发者工具 SharePoint中基于Web开发

    BEGINNING SHAREPOINT® 2013 DEVELOPMENT 第3章节--SharePoint 2013 开发者工具 SharePoint中基于Web开发         之前提到过, ...

  4. 深入理解C指针之五:指针和字符串

    原文:深入理解C指针之五:指针和字符串 基础概念 字符串可以分配到内存的不同区域,通常使用指针来支持字符串操作.字符串是以ASCII字符NUL结尾的字符序列.ASCII字符NUL表示为\0.字符串通常 ...

  5. mongodb操作:利用javaScript封装db.collection.find()后可调用函数源码解读

    { "_mongo" : connection to YOURIP:27017{ SSL: { sslSupport: false, sslPEMKeyFile: "&q ...

  6. POJ 3390 Print Words in Lines(DP)

    Print Words in Lines Time Limit: 1000MS Memory Limit: 65536K Total Submissions: 1624 Accepted: 864 D ...

  7. php——SoapClient访问webservice

    原文:php--SoapClient访问webservice 通过SoapClient调用天气预报 <?phpheader ( "Content-Type: text/html; ch ...

  8. Qt Creator(编译器MinGW)中使用__attribute__(packed)的问题

    http://www.bttr-software.de/forum/mix_entry.php?id=11767 假设我们从串口中读到一串数据,当我们想要处理这串数据的时候通常是这样做的: 1 将这些 ...

  9. web.xml在listener作用与用途

    一.WebContextLoaderListener 监听类 它能捕捉到server的启动和停止,在启动和停止触发里面的方法做对应的操作! 它必须在web.xml 中配置才干使用,是配置监听类的 二. ...

  10. 【转】Android 图层引导帮助界面制作

    2012-11-02 10:31 1979人阅读 评论(0) 收藏 举报 原文:http://www.cnblogs.com/beenupper/archive/2012/07/18/2597504. ...