下载
编译与部署
开始使用
操作手册
- 数据导入
- 表结构变更
- 物化视图
- HTTP API
- FE
- MANAGER
- Bootstrap Action
- Cancel Load Action
- Check Decommission Action
- Check Storage Type Action
- Config Action
- Connection Action
- Get DDL Statement Action
- Get Load Info Action
- Get Load State
- Get FE log file
- Get Small File
- HA Action
- Hardware Info Action
- Health Action
- Log Action
- Logout Action
- Meta Action
- Meta Action
- Meta Replay State Action
- Profile Action
- Query Detail Action
- Query Profile Action
- Row Count Action
- Session Action
- Set Config Action
- Show Data Action
- Show Meta Info Action
- Show Proc Action
- Show Runtime Info Action
- Statement Execution Action
- System Action
- Table Query Plan Action
- Table Row Count Action
- Table Schema Action
- Upload Action
- CANCEL LABEL
- Compaction Action
- CONNECTION
- getlogfile
- GET LABEL STATE
- GET TABLETS ON A PARTICULAR BE
- PROFILE
- QUERY DETAIL
- RESTORE TABLET
- SHOW DATA
- MIGRATE SINGLE TABLET TO A PARTICULAR DISK
- GET TABLETS DISTRIBUTION BETWEEN DIFFERENT DISKS
- FE
- 运维操作
- 配置文件
- 拦截规则
- 备份与恢复
- Broker
- Colocation Join
- Bucket Shuffle Join
- 动态分区
- 数据导出
- 导出查询结果集
- 分区缓存
- 权限管理
- LDAP
- 资源管理
- 查询执行的统计
- Runtime Filter
- Segment V2 升级手册
- 文件管理器
- SQL MODE
- 时区
- 变量
- 更新
- 多租户和资源划分
最佳实践
扩展功能
- 审计日志插件
- Doris On ES
- Doris output plugin
- ODBC External Table Of Doris
- Doris 插件框架
- Spark Doris Connector
- Flink Doris Connector
- DataX doriswriter
- UDF
设计文档
SQL 手册
- SQL 函数
- 日期函数
- convert_tz
- curdate
- current_timestamp
- curtime,current_time
- date_add
- date_format
- date_sub
- datediff
- day
- dayname
- dayofmonth
- dayofweek
- dayofyear
- from_days
- from_unixtime
- hour
- makedate
- minute
- month
- monthname
- now
- second
- strtodate
- time_round
- timediff
- timestampadd
- timestampdiff
- to_days
- unix_timestamp
- utc_timestamp
- week
- weekofyear
- year
- yearweek
- 地理位置函数
- 字符串函数
- 聚合函数
- bitmap 函数
- Hash函数
- Doris 窗口函数使用
- CAST
- DIGITAL_MASKING
- 日期函数
- 语法帮助
- 用户账户管理
- 集群管理
- ADMIN CANCEL REPAIR
- ADMIN CLEAN TRASH
- ADMIN CHECK TABLET
- ADMIN REPAIR
- ADMIN SET CONFIG
- ADMIN SET REPLICA STATUS
- ADMIN SHOW CONFIG
- ADMIN SHOW REPLICA DISTRIBUTION
- ADMIN SHOW REPLICA STATUS
- ADMIN SHOW DATA SKEW
- ALTER CLUSTER
- ALTER SYSTEM
- CANCEL DECOMMISSION
- CREATE CLUSTER
- CREATE FILE
- DROP CLUSTER
- DROP FILE
- ENTER
- INSTALL PLUGIN
- LINK DATABASE
- MIGRATE DATABASE
- SET LDAPADMINPASSWORD
- SHOW BACKENDS
- SHOW BROKER
- SHOW FILE
- SHOW FRONTENDS
- SHOW FULL COLUMNS
- SHOW INDEX
- SHOW MIGRATIONS
- SHOW PLUGINS
- SHOW TABLE STATUS
- SHOW TRASH
- UNINSTALL PLUGIN
- DDL
- ALTER DATABASE
- ALTER TABLE
- ALTER VIEW
- BACKUP
- CANCEL ALTER
- CANCEL BACKUP
- CANCEL RESTORE
- CREATE DATABASE
- CREATE ENCRYPTKEY
- CREATE INDEX
- CREATE MATERIALIZED VIEW
- CREATE REPOSITORY
- CREATE RESOURCE
- CREATE TABLE LIKE
- CREATE TABLE
- CREATE VIEW
- DROP DATABASE
- DROP ENCRYPTKEY
- DROP INDEX
- DROP MATERIALIZED VIEW
- DROP REPOSITORY
- DROP RESOURCE
- DROP TABLE
- DROP VIEW
- HLL
- RECOVER
- RESTORE
- SHOW ENCRYPTKEYS
- SHOW RESOURCES
- TRUNCATE TABLE
- CREATE FUNCTION
- DROP FUNCTION
- SHOW FUNCTIONS
- DML
- BROKER LOAD
- CANCEL LOAD
- DELETE
- EXPORT
- GROUP BY
- LOAD
- MINI LOAD
- MULTI LOAD
- PAUSE ROUTINE LOAD
- RESUME ROUTINE LOAD
- ROUTINE LOAD
- SHOW ALTER
- SHOW BACKUP
- SHOW CREATE FUNCTION
- SHOW CREATE ROUTINE LOAD
- SHOW DATA
- SHOW DATABASES
- SHOW DELETE
- SHOW DYNAMIC PARTITION TABLES
- SHOW EXPORT
- SHOW LOAD
- SHOW PARTITIONS
- SHOW PROPERTY
- SHOW REPOSITORIES
- SHOW RESTORE
- SHOW ROUTINE LOAD TASK
- SHOW ROUTINE LOAD
- SHOW SNAPSHOT
- SHOW TABLES
- SHOW TABLET
- SHOW TRANSACTION
- SPARK LOAD
- STOP ROUTINE LOAD
- STREAM LOAD
- ALTER ROUTINE LOAD
- INSERT
- UPDATE
- 数据类型
- 辅助命令
开发者手册
- 调试工具
- Doris BE存储层Benchmark工具
- 使用 Eclipse 搭建 FE 开发环境
- 使用 IntelliJ IDEA 搭建 FE 开发环境
- Apache Doris Be 开发调试
- Java 代码格式化
- C++ 代码格式化
Apache 社区
文章来源于网络收集而来,版权归原创者所有,如有侵权请及时联系!
GROUP BY
description
GROUP BY GROUPING SETS
| CUBE
| ROLLUP
是对 GROUP BY 子句的扩展,它能够在一个 GROUP BY 子句中实现多个集合的分组的聚合。其结果等价于将多个相应 GROUP BY 子句进行 UNION 操作。
GROUP BY 子句是只含有一个元素的 GROUP BY GROUPING SETS 的特例。 例如,GROUPING SETS 语句:
SELECT a, b, SUM( c ) FROM tab1 GROUP BY GROUPING SETS ( (a, b), (a), (b), ( ) );
其查询结果等价于:
SELECT a, b, SUM( c ) FROM tab1 GROUP BY a, b
UNION
SELECT a, null, SUM( c ) FROM tab1 GROUP BY a
UNION
SELECT null, b, SUM( c ) FROM tab1 GROUP BY b
UNION
SELECT null, null, SUM( c ) FROM tab1
GROUPING(expr)
指示一个列是否为聚合列,如果是聚合列为0,否则为1
GROUPING_ID(expr [ , expr [ , ... ] ])
与GROUPING 类似, GROUPING_ID根据指定的column 顺序,计算出一个列列表的 bitmap 值,每一位为GROUPING的值. GROUPING_ID()函数返回位向量的十进制值。
Syntax
SELECT ...
FROM ...
[ ... ]
GROUP BY [
, ... |
GROUPING SETS [, ...] ( groupSet [ , groupSet [ , ... ] ] ) |
ROLLUP(expr [ , expr [ , ... ] ]) |
expr [ , expr [ , ... ] ] WITH ROLLUP |
CUBE(expr [ , expr [ , ... ] ]) |
expr [ , expr [ , ... ] ] WITH CUBE
]
[ ... ]
Parameters
groupSet
表示 select list 中的列,别名或者表达式组成的集合 groupSet ::= { ( expr [ , expr [ , ... ] ] )}
expr
表示 select list 中的列,别名或者表达式
Note
doris 支持类似PostgreSQL 语法, 语法实例如下
SELECT a, b, SUM( c ) FROM tab1 GROUP BY GROUPING SETS ( (a, b), (a), (b), ( ) );
SELECT a, b,c, SUM( d ) FROM tab1 GROUP BY ROLLUP(a,b,c)
SELECT a, b,c, SUM( d ) FROM tab1 GROUP BY CUBE(a,b,c)
ROLLUP(a,b,c)
等价于如下GROUPING SETS
语句
GROUPING SETS (
(a,b,c),
( a, b ),
( a),
( )
)
CUBE ( a, b, c )
等价于如下GROUPING SETS
语句
GROUPING SETS (
( a, b, c ),
( a, b ),
( a, c ),
( a ),
( b, c ),
( b ),
( c ),
( )
)
example
下面是一个实际数据的例子
> SELECT * FROM t;
+------+------+------+
| k1 | k2 | k3 |
+------+------+------+
| a | A | 1 |
| a | A | 2 |
| a | B | 1 |
| a | B | 3 |
| b | A | 1 |
| b | A | 4 |
| b | B | 1 |
| b | B | 5 |
+------+------+------+
8 rows in set (0.01 sec)
> SELECT k1, k2, SUM(k3) FROM t GROUP BY GROUPING SETS ( (k1, k2), (k2), (k1), ( ) );
+------+------+-----------+
| k1 | k2 | sum(`k3`) |
+------+------+-----------+
| b | B | 6 |
| a | B | 4 |
| a | A | 3 |
| b | A | 5 |
| NULL | B | 10 |
| NULL | A | 8 |
| a | NULL | 7 |
| b | NULL | 11 |
| NULL | NULL | 18 |
+------+------+-----------+
9 rows in set (0.06 sec)
> SELECT k1, k2, GROUPING_ID(k1,k2), SUM(k3) FROM t GROUP BY GROUPING SETS ((k1, k2), (k1), (k2), ());
+------+------+---------------+----------------+
| k1 | k2 | grouping_id(k1,k2) | sum(`k3`) |
+------+------+---------------+----------------+
| a | A | 0 | 3 |
| a | B | 0 | 4 |
| a | NULL | 1 | 7 |
| b | A | 0 | 5 |
| b | B | 0 | 6 |
| b | NULL | 1 | 11 |
| NULL | A | 2 | 8 |
| NULL | B | 2 | 10 |
| NULL | NULL | 3 | 18 |
+------+------+---------------+----------------+
9 rows in set (0.02 sec)
keyword
GROUP, GROUPING, GROUPING_ID, GROUPING_SETS, GROUPING SETS, CUBE, ROLLUP
如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。
绑定邮箱获取回复消息
由于您还没有绑定你的真实邮箱,如果其他用户或者作者回复了您的评论,将不能在第一时间通知您!
发布评论