Hive之Order,Sort,Cluster and Distribute By
- 测试数据
create table sort_test(
id int,
name string
)
row format delimited
fields terminated by '\t'
lines terminated by '\n'
stored as textfile;
[root@wadeyu ~]# cat sort_test.log
4679 aaa
4728 aaa
3040 aaa
4207 aaa
2231 aaa
1279 aaa
7954 aaa
582 aaa
7096 aaa
4878 aaa
9684 aaa
1540 aaa
4826 aaa
2543 aaa
2323 aaa
1420 aaa
5083 aaa
8965 aaa
1391 aaa
9719 aaa
9901 aaa
2393 aaa
6024 aaa
444 aaa
1574 aaa
8881 aaa
5739 aaa
8689 aaa
1614 aaa
9340 aaa
6726 aaa
109 aaa
6941 aaa
9562 aaa
9019 aaa
4945 aaa
2206 aaa
5910 aaa
8552 aaa
1795 aaa
2720 aaa
9007 aaa
8377 aaa
2179 aaa
3683 aaa
5869 aaa
5448 aaa
5223 aaa
5127 aaa
4616 aaa
2340 aaa
1268 aaa
4332 aaa
2989 aaa
19 aaa
7880 aaa
505 aaa
5975 aaa
5288 aaa
5682 aaa
376 aaa
7502 aaa
6448 aaa
3774 aaa
5541 aaa
9636 aaa
2037 aaa
246 aaa
6151 aaa
7837 aaa
1506 aaa
3749 aaa
9335 aaa
3973 aaa
5160 aaa
7929 aaa
834 aaa
3451 aaa
1766 aaa
6228 aaa
8961 aaa
8177 aaa
2340 aaa
4245 aaa
3226 aaa
2670 aaa
784 aaa
7699 aaa
2054 aaa
6006 aaa
4204 aaa
8905 aaa
6182 aaa
1271 aaa
5415 aaa
5164 aaa
4320 aaa
3736 aaa
2287 aaa
6559 aaa
- Order By
- Job中只会启动一个reduce做全局排序，数据量大时，耗时会很久
- 在strict模式(hive.mapred.mode=strict)下，必须添加limit语句限制返回条数
# 语法格式
colOrder: ( ASC | DESC )
colNullOrder: (NULLS FIRST | NULLS LAST) -- (Note: Available in Hive 2.1.0 and later)
orderBy: ORDER BY colName colOrder? colNullOrder? (',' colName colOrder? colNullOrder?)*
query: SELECT expression (',' expression)* FROM src orderBy
# 排序
select * from sort_test order by id desc;
+---------------+-----------------+--+
| sort_test.id | sort_test.name |
+---------------+-----------------+--+
| 9901 | aaa |
| 9719 | aaa |
| 9684 | aaa |
| 9636 | aaa |
| 9562 | aaa |
| 9340 | aaa |
| 9335 | aaa |
| 9019 | aaa |
| 9007 | aaa |
| 8965 | aaa |
| 8961 | aaa |
| 8905 | aaa |
| 8881 | aaa |
| 8689 | aaa |
| 8552 | aaa |
| 8377 | aaa |
| 8177 | aaa |
| 7954 | aaa |
| 7929 | aaa |
| 7880 | aaa |
| 7837 | aaa |
| 7699 | aaa |
| 7502 | aaa |
| 7096 | aaa |
| 6941 | aaa |
| 6726 | aaa |
| 6559 | aaa |
| 6448 | aaa |
| 6228 | aaa |
| 6182 | aaa |
| 6151 | aaa |
| 6024 | aaa |
| 6006 | aaa |
| 5975 | aaa |
| 5910 | aaa |
| 5869 | aaa |
| 5739 | aaa |
| 5682 | aaa |
| 5541 | aaa |
| 5448 | aaa |
| 5415 | aaa |
| 5288 | aaa |
| 5223 | aaa |
| 5164 | aaa |
| 5160 | aaa |
| 5127 | aaa |
| 5083 | aaa |
| 4945 | aaa |
| 4878 | aaa |
| 4826 | aaa |
| 4728 | aaa |
| 4679 | aaa |
| 4616 | aaa |
| 4332 | aaa |
| 4320 | aaa |
| 4245 | aaa |
| 4207 | aaa |
| 4204 | aaa |
| 3973 | aaa |
| 3774 | aaa |
| 3749 | aaa |
| 3736 | aaa |
| 3683 | aaa |
| 3451 | aaa |
| 3226 | aaa |
| 3040 | aaa |
| 2989 | aaa |
| 2720 | aaa |
| 2670 | aaa |
| 2543 | aaa |
| 2393 | aaa |
| 2340 | aaa |
| 2340 | aaa |
| 2323 | aaa |
| 2287 | aaa |
| 2231 | aaa |
| 2206 | aaa |
| 2179 | aaa |
| 2054 | aaa |
| 2037 | aaa |
| 1795 | aaa |
| 1766 | aaa |
| 1614 | aaa |
| 1574 | aaa |
| 1540 | aaa |
| 1506 | aaa |
| 1420 | aaa |
| 1391 | aaa |
| 1279 | aaa |
| 1271 | aaa |
| 1268 | aaa |
| 834 | aaa |
| 784 | aaa |
| 582 | aaa |
| 505 | aaa |
| 444 | aaa |
| 376 | aaa |
| 246 | aaa |
| 109 | aaa |
| 19 | aaa |
+---------------+-----------------+--+
- Sort By
- 排序前会根据排序字段分区，一个job启动多个reduce进行局部排序
- 如果有limit语句，会再次启动一个job，取出每个局部排好序的前n条，再进行全局排序
- 只保证局部有序，不保证全局有序
# Sort By语法
colOrder: ( ASC | DESC )
sortBy: SORT BY colName colOrder? (',' colName colOrder?)*
query: SELECT expression (',' expression)* FROM src sortBy
# 设置开启的reduce个数
set mapreduce.job.reduces=2;
0: jdbc:hive2://> set mapreduce.job.reduces;
+--------------------------+--+
| set |
+--------------------------+--+
| mapreduce.job.reduces=2 |
+--------------------------+--+
# 执行局部排序（未带limit）
0: jdbc:hive2://> select * from sort_test sort by id desc;
+---------------+-----------------+--+
| sort_test.id | sort_test.name |
+---------------+-----------------+--+
| 9901 | aaa |
| 9684 | aaa |
| 9340 | aaa |
| 9019 | aaa |
| 9007 | aaa |
| 8965 | aaa |
| 8961 | aaa |
| 8689 | aaa |
| 8552 | aaa |
| 8177 | aaa |
| 7837 | aaa |
| 7699 | aaa |
| 7502 | aaa |
| 6559 | aaa |
| 6448 | aaa |
| 6228 | aaa |
| 6024 | aaa |
| 6006 | aaa |
| 5975 | aaa |
| 5910 | aaa |
| 5869 | aaa |
| 5739 | aaa |
| 5682 | aaa |
| 5541 | aaa |
| 5448 | aaa |
| 5415 | aaa |
| 5288 | aaa |
| 5164 | aaa |
| 5160 | aaa |
| 5083 | aaa |
| 4878 | aaa |
| 4826 | aaa |
| 4679 | aaa |
| 4616 | aaa |
| 4245 | aaa |
| 4207 | aaa |
| 3736 | aaa |
| 3451 | aaa |
| 3226 | aaa |
| 3040 | aaa |
| 2989 | aaa |
| 2720 | aaa |
| 2670 | aaa |
| 2340 | aaa |
| 2231 | aaa |
| 2206 | aaa |
| 2054 | aaa |
| 2037 | aaa |
| 1766 | aaa |
| 1614 | aaa |
| 1540 | aaa |
| 1506 | aaa |
| 1420 | aaa |
| 1268 | aaa |
| 834 | aaa |
| 784 | aaa |
| 582 | aaa |
| 444 | aaa |
| 376 | aaa |
| 246 | aaa |
| 19 | aaa |
| 9719 | aaa |
| 9636 | aaa |
| 9562 | aaa |
| 9335 | aaa |
| 8905 | aaa |
| 8881 | aaa |
| 8377 | aaa |
| 7954 | aaa |
| 7929 | aaa |
| 7880 | aaa |
| 7096 | aaa |
| 6941 | aaa |
| 6726 | aaa |
| 6182 | aaa |
| 6151 | aaa |
| 5223 | aaa |
| 5127 | aaa |
| 4945 | aaa |
| 4728 | aaa |
| 4332 | aaa |
| 4320 | aaa |
| 4204 | aaa |
| 3973 | aaa |
| 3774 | aaa |
| 3749 | aaa |
| 3683 | aaa |
| 2543 | aaa |
| 2393 | aaa |
| 2340 | aaa |
| 2323 | aaa |
| 2287 | aaa |
| 2179 | aaa |
| 1795 | aaa |
| 1574 | aaa |
| 1391 | aaa |
| 1279 | aaa |
| 1271 | aaa |
| 505 | aaa |
| 109 | aaa |
+---------------+-----------------+--+
# 带limit排序(会额外再启动一个job进行全局排序)
0: jdbc:hive2://> select * from sort_test sort by id desc limit 300;
+---------------+-----------------+--+
| sort_test.id | sort_test.name |
+---------------+-----------------+--+
| 9901 | aaa |
| 9719 | aaa |
| 9684 | aaa |
| 9636 | aaa |
| 9562 | aaa |
| 9340 | aaa |
| 9335 | aaa |
| 9019 | aaa |
| 9007 | aaa |
| 8965 | aaa |
| 8961 | aaa |
| 8905 | aaa |
| 8881 | aaa |
| 8689 | aaa |
| 8552 | aaa |
| 8377 | aaa |
| 8177 | aaa |
| 7954 | aaa |
| 7929 | aaa |
| 7880 | aaa |
| 7837 | aaa |
| 7699 | aaa |
| 7502 | aaa |
| 7096 | aaa |
| 6941 | aaa |
| 6726 | aaa |
| 6559 | aaa |
| 6448 | aaa |
| 6228 | aaa |
| 6182 | aaa |
| 6151 | aaa |
| 6024 | aaa |
| 6006 | aaa |
| 5975 | aaa |
| 5910 | aaa |
| 5869 | aaa |
| 5739 | aaa |
| 5682 | aaa |
| 5541 | aaa |
| 5448 | aaa |
| 5415 | aaa |
| 5288 | aaa |
| 5223 | aaa |
| 5164 | aaa |
| 5160 | aaa |
| 5127 | aaa |
| 5083 | aaa |
| 4945 | aaa |
| 4878 | aaa |
| 4826 | aaa |
| 4728 | aaa |
| 4679 | aaa |
| 4616 | aaa |
| 4332 | aaa |
| 4320 | aaa |
| 4245 | aaa |
| 4207 | aaa |
| 4204 | aaa |
| 3973 | aaa |
| 3774 | aaa |
| 3749 | aaa |
| 3736 | aaa |
| 3683 | aaa |
| 3451 | aaa |
| 3226 | aaa |
| 3040 | aaa |
| 2989 | aaa |
| 2720 | aaa |
| 2670 | aaa |
| 2543 | aaa |
| 2393 | aaa |
| 2340 | aaa |
| 2340 | aaa |
| 2323 | aaa |
| 2287 | aaa |
| 2231 | aaa |
| 2206 | aaa |
| 2179 | aaa |
| 2054 | aaa |
| 2037 | aaa |
| 1795 | aaa |
| 1766 | aaa |
| 1614 | aaa |
| 1574 | aaa |
| 1540 | aaa |
| 1506 | aaa |
| 1420 | aaa |
| 1391 | aaa |
| 1279 | aaa |
| 1271 | aaa |
| 1268 | aaa |
| 834 | aaa |
| 784 | aaa |
| 582 | aaa |
| 505 | aaa |
| 444 | aaa |
| 376 | aaa |
| 246 | aaa |
| 109 | aaa |
| 19 | aaa |
+---------------+-----------------+--+
- Order By 和 Sort By区别
- Order By全局排序，Sort By局部排序
- 取TopN时，Sort By 比 Order By效率更高
- Distribute By
- 查询语句对指定字段分组
- 通常结合Sort By语句使用，比如同一个地区，不同商家排序，就需要用到这个
- Cluster By
- 分组且排序，等价于 Distribute By 和 Sort By 的结合
-- 使用示例
SELECT col1, col2 FROM t1 CLUSTER BY col1
SELECT col1, col2 FROM t1 DISTRIBUTE BY col1
SELECT col1, col2 FROM t1 DISTRIBUTE BY col1 SORT BY col1 ASC, col2 DESC
参考资料
【0】Hive wiki - LanguageManual SortBy
Hive之Order,Sort,Cluster and Distribute By的更多相关文章
- hive 中的Sort By、 Order By、Cluster By、Distribute By 区别
Order by: order by 会对输入做全局排序,因此只有一个reducer(多个reducer无法保证全局有序)只有一个reducer,会导致当输入规模较大时,需要较长的计算时间.在hive ...
- [转]hive中order by,distribute by,sort by,cluster by
转至http://my.oschina.net/repine/blog/296562 order by,distribute by,sort by,cluster by 查询使用说明 1 2 3 4 ...
- hive中order by、distribute by、sort by和cluster by的区别和联系
hive中order by.distribute by.sort by和cluster by的区别和联系 order by order by 会对数据进行全局排序,和oracle和mysql等数据库中 ...
- hive中order by ,sort by ,distribute by, cluster by 的区别（**很详细**）
hive 查询语法 select [all | distinct] select_ condition, select_ condition from table_name a [join table ...
- HiveQL之Sort by、Distribute by、Cluster by、Order By详解
在这里解释一下select语法中的order by.sort by.distribute by.cluster by.order by语法. 一.order by语法 在hiveQL中Order by ...
- hive中order by,sort by, distribute by, cluster by作用以及用法
1. order by Hive中的order by跟传统的sql语言中的order by作用是一样的,会对查询的结果做一次全局排序,所以说,只有hive的sql中制定了order by所有的 ...
- Hive中的order by、sort by、distribute by、cluster by解释及测试
结论: order by:全局排序,这也是4种排序手段中唯一一个能在终端输出中看出全局排序的方法,只有一个reduce,可能造成renduce任务时间过长,在严格模式下,要求必须具备limit子句. ...
- hive 排序 order by sort by distribute by cluster by
order by: order by是全局排序,受hive.mapred.mode的影响. 使用orderby有一些限制: 1.在严格模式下(hive.mapred.mod ...
- Hive中order by，sort by，distribute by，cluster by的区别
一:order by order by会对输入做全局排序,因此只有一个Reducer(多个Reducer无法保证全局有序),然而只有一个Reducer,会导致当输入规模较大时,消耗较长的计算时间.关于 ...
随机推荐
- spring 配置 shiro rememberMe
1.shiro 提供记住我的功能,当将form表单中name="rememberMe" 的value设为true或者登陆的token中.token.setRememberMe(tr ...
- c# 导出DataSet到excel
public static bool ExportToExcel_dataSet(string queryNo, string conditions) { bool _bl = false; try ...
- vba，设置，excel，wps ，页面设置
全面认识页面设置之 PageSetup 对象我们在写 VBA 代码时,特别是做小型程序开发时,经常会用 VBA 来设置“页面设置”中的选项,还可用要用 VBA 来实现一些特殊的效果,这就需要使用 Pa ...
- apropos - 在 whatis 数据库中查找字符串
总览 (SYNOPSIS) apropos keyword ... 描述 (DESCRIPTION) apropos 命令在一些特定的包含系统命令的简短描述的数据库文件里查找关键字, 然后把结果送到标 ...
- WebStorm改变字体大小以及更换背景颜色
参考文章:https://blog.csdn.net/weixin_42676530/article/details/82961279
- vue解决IOS10低版本白屏问题
一.方案一 在build文件的webpack.prod.conf.js文件添加以下代码 new UglifyJsPlugin({ uglifyOptions: { compress: { warnin ...
- C# 使用MongoDB（学习记录）
1)下载MongoDB https://www.mongodb.com/download-center#community 2)在D盘新建Data->db 3)执行命令 mongod --dbp ...
- GRPC在NET上的应用
GRPC是什么? GRPC是一个开源RPC框架,于2015年3月开源,其由Google主要面向移动应用开发并基于HTTP/2协议标准而设计,基于Protobuf 3.0(Protocol Buffer ...
- 「 Luogu P3137 」X 「 USACO16FEB 」 圆形谷仓
# 题目大意 管理大大给修下 $\text{Markdown}$ 吧,严重影响做题体验啊. 这道题的意思很简单就是给你一个长度是 $n$ 的环,这个环上不均匀的分布着 $n$ 头奶牛.一头奶牛移动要花 ...
- 开发基本的php框架
github路径:https://github.com/zhengchuzhou/easyPhpFramework 一.目录结构及用途 二.相关代码: 1.入口文件(index.php): <? ...