查询语法和内置函数
查询语法整体结构
SELECT
[ALL | DISTINCT | DISTINCTROW ] -- 对查询字段的结果是否需要去重，还是全部保留等参数
select_expr [, select_expr ...] -- select的查询字段
[FROM table_references
[PARTITION partition_list] -- from 哪个库里面的那张表甚至哪一个(几个)分区
[WHERE where_condition] -- WHERE 查询
[GROUP BY {col_name | expr | position} -- group by 聚合
[ASC | DESC], ... [WITH ROLLUP]]
[HAVING where_condition] -- having 针对聚合函数的再一次过滤
[ORDER BY {col_name | expr | position} -- 对结果数据按照字段进行排序
[ASC | DESC], ...] -- 排序规则
[LIMIT {[offset,] row_count | row_count OFFSET offset}] -- 限制输出多少行内容
[INTO OUTFILE 'file_name'] -- 将查询的结果导出到文件中
内置函数
条件函数
if
if(boolean condition, type valueTrue, type valueFalseOrNull)
--如果表达式 condition 成立，返回结果 valueTrue；否则，返回结果 valueFalseOrNull
--返回值类型：valueTrue 表达式结果的类型
示例：
SQL
mysql> select user_id, if(user_id = 1, "true", "false") as test_if from test;
+---------+---------+
| user_id | test_if |
+---------+---------+
| 1 | true |
| 2 | false |
+---------+---------+
ifnull,nvl,coalesce,nullif
ifnull(expr1, expr2)
--如果 expr1 的值不为 NULL 则返回 expr1，否则返回 expr2
nvl(expr1, expr2)
--如果 expr1 的值不为 NULL 则返回 expr1，否则返回 expr2
coalesce(expr1, expr2, ...., expr_n))
--返回参数中的第一个非空表达式（从左向右）
nullif(expr1, expr2)
-- 如果两个参数相等，则返回NULL。否则返回第一个参数的值
mysql> select ifnull(1,0);
+--------------+
| ifnull(1, 0) |
+--------------+
| 1 |
+--------------+
mysql> select nvl(null,10);
+------------------+
| nvl(null,10) |
+------------------+
| 10 |
+------------------+
mysql> select coalesce(NULL, '1111', '0000');
+--------------------------------+
| coalesce(NULL, '1111', '0000') |
+--------------------------------+
| 1111 |
+--------------------------------+
mysql> select coalesce(NULL, NULL,NULL,'0000', NULL);
+----------------------------------------+
| coalesce(NULL, NULL,NULL,'0000', NULL) |
+----------------------------------------+
| 0000 |
+----------------------------------------+
mysql> select nullif(1,1);
+--------------+
| nullif(1, 1) |
+--------------+
| NULL |
+--------------+
mysql> select nullif(1,0);
+--------------+
| nullif(1, 0) |
+--------------+
| 1 |
+--------------+
case
-- 方式一
CASE expression
WHEN condition1 THEN result1
[WHEN condition2 THEN result2]
...
[WHEN conditionN THEN resultN]
[ELSE result]
END
-- 方式二
CASE WHEN condition1 THEN result1
[WHEN condition2 THEN result2]
...
[WHEN conditionN THEN resultN]
[ELSE result]
END
-- 将表达式和多个可能的值进行比较，当匹配时返回相应的结果
mysql> select user_id,
case user_id
when 1 then 'user_id = 1'
when 2 then 'user_id = 2'
else 'user_id not exist'
end as test_case
from test;
+---------+-------------+
| user_id | test_case |
+---------+-------------+
| 1 | user_id = 1 |
| 2 | user_id = 2 |
| 3 | 'user_id not exist' |
+---------+-------------+
mysql> select user_id,
case
when user_id = 1 then 'user_id = 1'
when user_id = 2 then 'user_id = 2'
else 'user_id not exist'
end as test_case
from test;
+---------+-------------+
| user_id | test_case |
+---------+-------------+
| 1 | user_id = 1 |
| 2 | user_id = 2 |
+---------+-------------+
聚合函数
min,max,sum,avg,count和mysql用法一致
min_by和max_by
MAX_BY(expr1, expr2)
返回expr2最大值所在行的 expr1 （求分组top1的简介函数）
MySQL > select * from tbl;
+------+------+------+------+
| k1 | k2 | k3 | k4 |
+------+------+------+------+
| 0 | 3 | 2 | 100 |
| 1 | 2 | 3 | 4 |
| 4 | 3 | 2 | 2 |
| 3 | 4 | 2 | 1 |
+------+------+------+------+
MySQL > select max_by(k1, k4) from tbl;
select max_by(k1, k4) from tbl;
--取k4这个列中的最大值对应的k1这个列的值
+--------------------+
| max_by(`k1`, `k4`) |
+--------------------+
| 0 |
+--------------------+
-- 练习
name subject score
zss,chinese,99
zss,math,89
zss,English,79
lss,chinese,88
lss,math,88
lss,English,22
www,chinese,99
www,math,45
zll,chinese,23
zll,math,88
zll,English,80
www,English,94
-- 建表语句
create table score
(
name varchar(50),
subject varchar(50),
score double
)
DUPLICATE KEY(name)
DISTRIBUTED BY HASH(name) BUCKETS 1;
-- 通过本地文件的方式导入数据
curl \
-u root: \
-H "label:salary" \
-H "column_separator:," \
-T /root/data/salary.txt \
http://doitedu01:8040/api/test/salary/_stream_load
-- 求每门课程成绩最高分的那个人
select
subject,max_by(name,score) as name
from score
group by subject
+---------+------+
| subject | name |
+---------+------+
| English | www |
| math | lss |
| chinese | www |
+---------+------+
group_concat
VARCHAR GROUP_CONCAT([DISTINCT] VARCHAR 列名[, VARCHAR sep]
该函数是类似于 sum() 的聚合函数，group_concat 将结果集中的多行结果连接成一个字符串
-- group_concat对于收集的字段只能是string，varchar，char类型
--当不指定分隔符的时候，默认使用 ','
VARCHAR ：代表GROUP_CONCAT函数返回值类型
[DISTINCT]：可选参数，针对需要拼接的列的值进行去重
[, VARCHAR sep]：拼接成字符串的分隔符，默认是 ','
--建表
create table example(
id int,
name varchar(50),
age int,
gender string,
is_marry boolean,
marry_date date,
marry_datetime datetime
)engine = olap
distributed by hash(id) buckets 3;
--插入数据
insert into example values \
(1,'zss',18,'male',0,null,null),\
(2,'lss',28,'female',1,'2022-01-01','2022-01-01 11:11:11'),\
(3,'ww',38,'male',1,'2022-02-01','2022-02-01 11:11:11'),\
(4,'zl',48,'female',0,null,null),\
(5,'tq',58,'male',1,'2022-03-01','2022-03-01 11:11:11'),\
(6,'mly',18,'male',1,'2022-04-01','2022-04-01 11:11:11'),\
(7,null,18,'male',1,'2022-05-01','2022-05-01 11:11:11');
--当收集的那一列，有值为null时，他会自动将null的值过滤掉
select
gender,
group_concat(name,',') as gc_name
from example
group by gender;
+--------+---------------+
| gender | gc_name |
+--------+---------------+
| female | zl,lss |
| male | zss,ww,tq,mly |
+--------+---------------+
select
gender,
group_concat(DISTINCT cast(age as string)) as gc_age
from example
group by gender;
+--------+------------+
| gender | gc_age |
+--------+------------+
| female | 48, 28 |
| male | 58, 38, 18 |
+--------+------------+
-- 求：每一个人有考试成绩的所有科目
select
name，
group_concat(subject,',') as all_subject
from score
group by name
collect_list，collect_set (1.2版本上线)
ARRAY<T> collect_list(expr)
--返回一个包含 expr 中所有元素(不包括NULL)的数组，数组中元素顺序是不确定的。
ARRAY<T> collect_set(expr)
--返回一个包含 expr 中所有去重后元素(不包括NULL)的数组，数组中元素顺序是不确定的。
日期函数
获取当前时间
-- curdate,current_date，now，curtime,current_time，current_timestamp
select current_date();
+----------------+
| current_date() |
+----------------+
| 2022-11-25 |
+----------------+
select curdate();
+------------+
| curdate() |
+------------+
| 2022-11-25 |
+------------+
select now();
+---------------------+
| now() |
+---------------------+
| 2022-11-25 00:55:15 |
+---------------------+
select curtime();
+-----------+
| curtime() |
+-----------+
| 00:42:13 |
+-----------+
select current_timestamp();
+---------------------+
| current_timestamp() |
+---------------------+
| 2022-11-25 00:42:30 |
+---------------------+
last_day(1.2版本上线)
DATE last_day(DATETIME date)
-- 返回输入日期中月份的最后一天；
--'28'(非闰年的二月份),
--'29'(闰年的二月份),
--'30'(四月，六月，九月，十一月),
--'31'(一月，三月，五月，七月，八月，十月，十二月)
select last_day('2000-03-03 01:00:00'); -- 给我返回这个月份中的最后一天的日期 年月日
ERROR 1105 (HY000): errCode = 2, detailMessage = No matching function with signature: last_day(varchar(-1)).
from_unixtime
DATETIME FROM_UNIXTIME(INT unix_timestamp[, VARCHAR string_format])
-- 将 unix 时间戳转化为对应的 time 格式，返回的格式由 string_format 指定
--支持date_format中的format格式，默认为 %Y-%m-%d %H:%i:%s
-- 正常使用的三种格式
yyyyMMdd
yyyy-MM-dd
yyyy-MM-dd HH:mm:ss
示例：
SQL
mysql> select from_unixtime(1196440219); -- 时区
+---------------------------+
| from_unixtime(1196440219) |
+---------------------------+
| 2007-12-01 00:30:19 |
+---------------------------+
mysql> select from_unixtime(1196440219, 'yyyy-MM-dd HH:mm:ss');
+--------------------------------------------------+
| from_unixtime(1196440219, 'yyyy-MM-dd HH:mm:ss') |
+--------------------------------------------------+
| 2007-12-01 00:30:19 |
+--------------------------------------------------+
mysql> select from_unixtime(1196440219, '%Y-%m-%d');
+-----------------------------------------+
| from_unixtime(1196440219, '%Y-%m-%d') |
+-----------------------------------------+
| 2007-12-01 |
+-----------------------------------------+
unix_timestamp
UNIX_TIMESTAMP(),
UNIX_TIMESTAMP(DATETIME date),
UNIX_TIMESTAMP(DATETIME date, STRING fmt) -- 给一个日期，指定这个日期的格式
-- 将日期转换成时间戳，返回值是一个int类型
-- 获取当前日期的时间戳
select unix_timestamp();
+------------------+
| unix_timestamp() |
+------------------+
| 1669309722 |
+------------------+
-- 获取指定日期的时间戳
select unix_timestamp('2022-11-26 01:09:01');
+---------------------------------------+
| unix_timestamp('2022-11-26 01:09:01') |
+---------------------------------------+
| 1669396141 |
+---------------------------------------+
-- 给定一个特殊日期格式的时间戳，指定格式
select unix_timestamp('2022-11-26 01:09-01', '%Y-%m-%d %H:%i-%s');
+------------------------------------------------------------+
| unix_timestamp('2022-11-26 01:09-01', '%Y-%m-%d %H:%i-%s') |
+------------------------------------------------------------+
| 1669396141 |
+------------------------------------------------------------+
to_date
DATE TO_DATE(DATETIME)
--返回 DATETIME 类型中的日期部分。
示例：
SQL
select to_date("2022-11-20 00:00:00");
+--------------------------------+
| to_date('2022-11-20 00:00:00') |
+--------------------------------+
| 2022-11-20 |
+--------------------------------+
extract
extract(unit FROM DATETIME) --抽取
-- 提取DATETIME某个指定单位的值。
--unit单位可以为year, month, day, hour, minute或者second
示例：
SQL
select
extract(year from '2022-09-22 17:01:30') as year,
extract(month from '2022-09-22 17:01:30') as month,
extract(day from '2022-09-22 17:01:30') as day,
extract(hour from '2022-09-22 17:01:30') as hour,
extract(minute from '2022-09-22 17:01:30') as minute,
extract(second from '2022-09-22 17:01:30') as second;
+------+-------+------+------+--------+--------+
| year | month | day | hour | minute | second |
+------+-------+------+------+--------+--------+
| 2022 | 9 | 22 | 17 | 1 | 30 |
+------+-------+------+------+--------+--------+
date_add，date_sub,datediff
DATE_ADD(DATETIME date,INTERVAL expr type)
DATE_SUB(DATETIME date,INTERVAL expr type)
DATEDIFF(DATETIME expr1,DATETIME expr2)
-- 计算两个日期相差多少天，结果精确到天。
-- 向日期添加指定的时间间隔。
-- date 参数是合法的日期表达式。
-- expr 参数是您希望添加的时间间隔。
-- type 参数可以是下列值：YEAR, MONTH, DAY, HOUR, MINUTE, SECOND
select date_add('2010-11-30 23:59:59', INTERVAL 2 DAY);
+-------------------------------------------------+
| date_add('2010-11-30 23:59:59', INTERVAL 2 DAY) |
+-------------------------------------------------+
| 2010-12-02 23:59:59 |
+-------------------------------------------------+
--传一个负数进去也就等同于date_sub
select date_add('2010-11-30 23:59:59', INTERVAL -2 DAY);
+--------------------------------------------------+
| date_add('2010-11-30 23:59:59', INTERVAL -2 DAY) |
+--------------------------------------------------+
| 2010-11-28 23:59:59 |
+--------------------------------------------------+
mysql> select datediff('2022-11-27 22:51:56','2022-11-24 22:50:56');
+--------------------------------------------------------+
| datediff('2022-11-27 22:51:56', '2022-11-24 22:50:56') |
+--------------------------------------------------------+
| 3 |
+--------------------------------------------------------+
date_format
VARCHAR DATE_FORMAT(DATETIME date, VARCHAR format)
--将日期类型按照format的类型转化为字符串
示例：
SQL
select date_format('2007-10-04 22:23:00', '%H:%i:%s');
+------------------------------------------------+
| date_format('2007-10-04 22:23:00', '%H:%i:%s') |
+------------------------------------------------+
| 22:23:00 |
+------------------------------------------------+
select date_format('2007-10-04 22:23:00', 'yyyy-MM-dd');
+------------------------------------------------+
| date_format('2007-10-04 22:23:00', '%Y-%m-%d') |
+------------------------------------------------+
| 2007-10-04 |
+------------------------------------------------+
字符串函数
length，lower，upper，reverse
获取到字符串的长度，对字符串转大小写和字符串的反转
lpad，rpad
VARCHAR rpad(VARCHAR str, INT len, VARCHAR pad)
VARCHAR lpad(VARCHAR str, INT len, VARCHAR pad)
-- 返回 str 中长度为 len（从首字母开始算起）的字符串。
--如果 len 大于 str 的长度，则在 str 的后面不断补充 pad 字符，
--直到该字符串的长度达到 len 为止。如果 len 小于 str 的长度，
--该函数相当于截断 str 字符串，只返回长度为 len 的字符串。
--len 指的是字符长度而不是字节长度。
示例：
SQL
-- 向左边补齐
SELECT lpad("1", 5, "hellohello");
+---------------------+
| lpad("1", 5, "0") |
+---------------------+
| 00001 |
+---------------------+
-- 向右边补齐
SELECT rpad('11', 5, '0');
+---------------------+
| rpad('11', 5, '0') |
+---------------------+
| 11000 |
+---------------------+
concat，concat_ws
select concat("a", "b");
+------------------+
| concat('a', 'b') |
+------------------+
| ab |
+------------------+
select concat("a", "b", "c");
+-----------------------+
| concat('a', 'b', 'c') |
+-----------------------+
| abc |
+-----------------------+
-- concat中，如果有一个值为null，那么得到的结果就是null
mysql> select concat("a", null, "c");
+------------------------+
| concat('a', NULL, 'c') |
+------------------------+
| NULL |
+------------------------+
--使用第一个参数 sep 作为连接符
--将第二个参数以及后续所有参数(或ARRAY中的所有字符串)拼接成一个字符串。
-- 如果分隔符是 NULL，返回 NULL。 concat_ws函数不会跳过空字符串，会跳过 NULL 值。
mysql> select concat_ws("_", "a", "b");
+----------------------------+
| concat_ws("_", "a", "b") |
+----------------------------+
| a_b |
+----------------------------+
mysql> select concat_ws(NULL, "d", "is");
+----------------------------+
| concat_ws(NULL, 'd', 'is') |
+----------------------------+
| NULL |
+----------------------------+
substr
--求子字符串，返回第一个参数描述的字符串中从start开始长度为len的部分字符串。
--首字母的下标为1。
mysql> select substr("Hello doris", 3, 5);
+-----------------------------+
| substr('Hello doris', 2, 1) |
+-----------------------------+
| e |
+-----------------------------+
mysql> select substr("Hello doris", 1, 2);
+-----------------------------+
| substr('Hello doris', 1, 2) |
+-----------------------------+
| He |
+-----------------------------+
ends_with，starts_with
BOOLEAN ENDS_WITH (VARCHAR str, VARCHAR suffix)
--如果字符串以指定后缀结尾，返回true。否则，返回false。
--任意参数为NULL，返回NULL。
BOOLEAN STARTS_WITH (VARCHAR str, VARCHAR prefix)
--如果字符串以指定前缀开头，返回true。否则，返回false。
--任意参数为NULL，返回NULL。
示例：
SQL
select ends_with("Hello doris", "doris");
+-----------------------------------+
| ends_with('Hello doris', 'doris') |
+-----------------------------------+
| 1 |
+-----------------------------------+
select ends_with("Hello doris", "Hello");
+-----------------------------------+
| ends_with('Hello doris', 'Hello') |
+-----------------------------------+
| 0 |
+-----------------------------------+
select starts_with("hello world","hello");
+-------------------------------------+
| starts_with('hello world', 'hello') |
+-------------------------------------+
| 1 |
+-------------------------------------+
select starts_with("hello world","world");
+-------------------------------------+
| starts_with('hello world', 'world') |
+-------------------------------------+
| 0 |
+-------------------------------------+
trim，ltrim，rtrim
VARCHAR trim(VARCHAR str)
-- 将参数 str 中左侧和右侧开始部分连续出现的空格去掉
mysql> SELECT trim(' ab d ') str;
+------+
| str |
+------+
| ab d |
+------+
VARCHAR ltrim(VARCHAR str)
-- 将参数 str 中从左侧部分开始部分连续出现的空格去掉
mysql> SELECT ltrim(' ab d') str;
+------+
| str |
+------+
| ab d |
+------+
VARCHAR rtrim(VARCHAR str)
--将参数 str 中从右侧部分开始部分连续出现的空格去掉
mysql> SELECT rtrim('ab d ') str;
+------+
| str |
+------+
| ab d |
+------+
null_or_empty，not_null_or_empty
BOOLEAN NULL_OR_EMPTY (VARCHAR str)
-- 如果字符串为空字符串或者NULL，返回true。否则，返回false。
select null_or_empty(null);
+---------------------+
| null_or_empty(NULL) |
+---------------------+
| 1 |
+---------------------+
select null_or_empty("");
+-------------------+
| null_or_empty('') |
+-------------------+
| 1 |
+-------------------+
select null_or_empty("a");
+--------------------+
| null_or_empty('a') |
+--------------------+
| 0 |
+--------------------+
BOOLEAN NOT_NULL_OR_EMPTY (VARCHAR str)
如果字符串为空字符串或者NULL，返回false。否则，返回true。
select not_null_or_empty(null);
+-------------------------+
| not_null_or_empty(NULL) |
+-------------------------+
| 0 |
+-------------------------+
select not_null_or_empty("");
+-----------------------+
| not_null_or_empty('') |
+-----------------------+
| 0 |
+-----------------------+
select not_null_or_empty("a");
+------------------------+
| not_null_or_empty('a') |
+------------------------+
| 1 |
+------------------------+
replace
VARCHAR REPLACE (VARCHAR str, VARCHAR old, VARCHAR new)
-- 将str字符串中的old子串全部替换为new串
mysql> select replace("http://www.baidu.com:9090", "9090", "");
+------------------------------------------------------+
| replace('http://www.baidu.com:9090', '9090', '') |
+------------------------------------------------------+
| http://www.baidu.com: |
+------------------------------------------------------+
split_part
VARCHAR split_part(VARCHAR content, VARCHAR delimiter, INT field)
-- 根据分割符拆分字符串, 返回指定的分割部分(从一开始计数)。
mysql> select split_part("hello world", " ", 1);
+----------------------------------+
| split_part('hello world', ' ', 1) |
+----------------------------------+
| hello |
+----------------------------------+
mysql> select split_part("hello world", " ", 2);
+----------------------------------+
| split_part('hello world', ' ', 2) |
+----------------------------------+
| world |
+----------------------------------+
mysql> select split_part("2019年7月8号", "月", 1);
+-----------------------------------------+
| split_part('2019年7月8号', '月', 1) |
+-----------------------------------------+
| 2019年7 |
+-----------------------------------------+
mysql> select split_part("abca", "a", 1);
+----------------------------+
| split_part('abca', 'a', 1) |
+----------------------------+
| |
+----------------------------+
money_format
VARCHAR money_format(Number)
-- 将数字按照货币格式输出，整数部分每隔3位用逗号分隔，小数部分保留2位
mysql> select money_format(17014116);
+------------------------+
| money_format(17014116) |
+------------------------+
| 17,014,116.00 |
+------------------------+
mysql> select money_format(1123.456);
+------------------------+
| money_format(1123.456) |
+------------------------+
| 1,123.46 |
+------------------------+
mysql> select money_format(1123.4);
+----------------------+
| money_format(1123.4) |
+----------------------+
| 1,123.40 |
+----------------------+
数学函数
ceil和floor
BIGINT ceil(DOUBLE x)
-- 返回大于或等于x的最小整数值.
mysql> select ceil(1);
+-----------+
| ceil(1.0) |
+-----------+
| 1 |
+-----------+
mysql> select ceil(2.4);
+-----------+
| ceil(2.4) |
+-----------+
| 3 |
+-----------+
mysql> select ceil(-10.3);
+-------------+
| ceil(-10.3) |
+-------------+
| -10 |
+-------------+
BIGINT floor(DOUBLE x)
-- 返回小于或等于x的最大整数值.
mysql> select floor(1);
+------------+
| floor(1.0) |
+------------+
| 1 |
+------------+
mysql> select floor(2.4);
+------------+
| floor(2.4) |
+------------+
| 2 |
+------------+
mysql> select floor(-10.3);
+--------------+
| floor(-10.3) |
+--------------+
| -11 |
+--------------+
round
round(x), round(x, d)
-- 将x四舍五入后保留d位小数，d默认为0。
-- 如果d为负数，则小数点左边d位为0。如果x或d为null，返回null。
mysql> select round(2.4);
+------------+
| round(2.4) |
+------------+
| 2 |
+------------+
mysql> select round(2.5);
+------------+
| round(2.5) |
+------------+
| 3 |
+------------+
mysql> select round(-3.4);
+-------------+
| round(-3.4) |
+-------------+
| -3 |
+-------------+
mysql> select round(-3.5);
+-------------+
| round(-3.5) |
+-------------+
| -4 |
+-------------+
mysql> select round(1667.2725, 2);
+---------------------+
| round(1667.2725, 2) |
+---------------------+
| 1667.27 |
+---------------------+
mysql> select round(1667.2725, -2);
+----------------------+
| round(1667.2725, -2) |
+----------------------+
| 1700 |
+----------------------+
truncate
DOUBLE truncate(DOUBLE x, INT d)
-- 按照保留小数的位数d对x进行数值截取。
-- 规则如下：
-- 当d > 0时：保留x的d位小数
-- 当d = 0时：将x的小数部分去除，只保留整数部分
-- 当d < 0时：将x的小数部分去除，整数部分按照 d所指定的位数，采用数字0进行替换
mysql> select truncate(124.3867, 2);
+-----------------------+
| truncate(124.3867, 2) |
+-----------------------+
| 124.38 |
+-----------------------+
mysql> select truncate(124.3867, 0);
+-----------------------+
| truncate(124.3867, 0) |
+-----------------------+
| 124 |
+-----------------------+
mysql> select truncate(-124.3867, -2);
+-------------------------+
| truncate(-124.3867, -2) |
+-------------------------+
| -100 |
+-------------------------+
abs
数值类型 abs(数值类型 x)
-- 返回x的绝对值.
mysql> select abs(-2);
+---------+
| abs(-2) |
+---------+
| 2 |
+---------+
mysql> select abs(3.254655654);
+------------------+
| abs(3.254655654) |
+------------------+
| 3.254655654 |
+------------------+
mysql> select abs(-3254654236547654354654767);
+---------------------------------+
| abs(-3254654236547654354654767) |
+---------------------------------+
| 3254654236547654354654767 |
+---------------------------------+
pow
DOUBLE pow(DOUBLE a, DOUBLE b)
-- 求幂次：返回a的b次方.
mysql> select pow(2,0);
+---------------+
| pow(2.0, 0.0) |
+---------------+
| 1 |
+---------------+
mysql> select pow(2,3);
+---------------+
| pow(2.0, 3.0) |
+---------------+
| 8 |
+---------------+
mysql> select round(pow(3,2.4),2);
+--------------------+
| pow(3.0, 2.4) |
+--------------------+
| 13.966610165238235 |
+--------------------+
greatest和 least
greatest(col_a, col_b, …, col_n)
-- 返回一行中 n个column的最大值.若column中有NULL，则返回NULL.
least(col_a, col_b, …, col_n)
-- 返回一行中 n个column的最小值.若column中有NULL，则返回NULL.
mysql> select greatest(-1, 0, 5, 8);
+-----------------------+
| greatest(-1, 0, 5, 8) |
+-----------------------+
| 8 |
+-----------------------+
mysql> select greatest(-1, 0, 5, NULL);
+--------------------------+
| greatest(-1, 0, 5, NULL) |
+--------------------------+
| NULL |
+--------------------------+
mysql> select greatest(6.3, 4.29, 7.6876);
+-----------------------------+
| greatest(6.3, 4.29, 7.6876) |
+-----------------------------+
| 7.6876 |
+-----------------------------+
mysql> select greatest("2022-02-26 20:02:11","2020-01-23 20:02:11","2020-06-22 20:02:11");
+-------------------------------------------------------------------------------+
| greatest('2022-02-26 20:02:11', '2020-01-23 20:02:11', '2020-06-22 20:02:11') |
+-------------------------------------------------------------------------------+
| 2022-02-26 20:02:11 |
+-------------------------------------------------------------------------------+
JSON函数
CREATE TABLE test_json (
id INT,
json_string String
)
DUPLICATE KEY(id)
DISTRIBUTED BY HASH(id) BUCKETS 3
PROPERTIES("replication_num" = "1");
--测试数据
{"k1":"v31", "k2": 300, "a1": [{"k1":"v41", "k2": 400}, 1, "a", 3.14]}
{"k1":"v32", "k2": 400, "a1": [{"k1":"v41", "k2": 400}, 2, "a", 4.14],"a2":{"k3":"v33", "k4": 200,"a2": [{"k1":"v41", "k2": 400}, 2, "a", 4.14]}}
{"k1":"v33", "k2": 500, "a1": [{"k1":"v41", "k2": 400}, 3, "a", 5.14],"a2":{"k3":"v33", "k4": 200,"a2": [{"k5":"v42", "k6": 600}]}}
{"k1":"v31"}
{"k1":"v31", "k2": 300}
{"k1":"v31", "k2": 200 "a1": []}
--json是一种里面存着一对对key，value类型的结构
--针对值类型的不同：
-- 1.简单值："k1":"v31"
-- 2.数组：[{"k1":"v41", "k2": 400}, 1, "a", 3.14]
-- 3.对象："a2":{"k3":"v33", "k4": 200,"a2": [{"k5":"v42", "k6": 600}]}
取值的时候，指定的'$.k1'==>这样的东西我们称之为json path ，json的路劲
-- 通过本地文件的方式导入
curl \
-u root: \
-H "label:load_local_file1" \
-H "column_separator:_" \
-T /root/data/json.txt \
http://doitedu01:8040/api/test/test_json/_stream_load
-- 用insert into 的方式导入一条
INSERT INTO test_json VALUES(7, '{"k1":"v1", "k2": 200}');
5.1.7.1get_json_double，get_json_int，get_json_string
DOUBLE get_json_int(VARCHAR json_str, VARCHAR json_path)
INT get_json_int(VARCHAR json_str, VARCHAR json_path)
VARCHAR get_json_string(VARCHAR json_str, VARCHAR json_path)
-- 解析并获取 json 字符串内指定路径的double，int，string 类型的内容。
-- 其中 json_path 必须以 $ 符号作为开头，使用 . 作为路径分割符。
-- 如果路径中包含 . ，则可以使用双引号包围。
-- 使用 [ ] 表示数组下标，从 0 开始。
-- path 的内容不能包含 ", [ 和 ]。
-- 如果 json_string 格式不对，或 json_path 格式不对，或无法找到匹配项，则返回 NULL。
--1.获取到k1对应的value的值
mysql> select id, get_json_string(json_string,'$.k1') as k1 from test_json;
+------+------+
| id | k1 |
+------+------+
| 2 | v32 |
| 4 | v31 |
| 5 | v31 |
| 6 | v31 |
| 1 | v31 |
| 3 | v33 |
+------+------+
--2.获取到key 为a1 里面的数组
mysql> select id, get_json_string(json_string,'$.a1') as arr from test_json;
+------+------------------------------------+
| id | arr |
+------+------------------------------------+
| 1 | [{"k1":"v41","k2":400},1,"a",3.14] |
| 3 | [{"k1":"v41","k2":400},3,"a",5.14] |
| 2 | [{"k1":"v41","k2":400},2,"a",4.14] |
| 4 | NULL |
| 5 | NULL |
| 6 | [] |
+------+------------------------------------+
--3.获取到key 为a1 里面的数组中第一个元素的值
mysql> select id, get_json_string(json_string,'$.a1[0]') as arr from test_json;
+------+-----------------------+
| id | arr |
+------+-----------------------+
| 2 | {"k1":"v41","k2":400} |
| 1 | {"k1":"v41","k2":400} |
| 3 | {"k1":"v41","k2":400} |
| 4 | NULL |
| 5 | NULL |
| 6 | NULL |
+------+-----------------------+
--4.获取到key 为a1 里面的数组中第一个元素的值（这个值是一个json串，再次获取到这个字符串中）
select id, get_json_string(get_json_string(json_string,'$.a1[0]'),'$.k1') as arr from test_json;
+------+------+
| id | arr |
+------+------+
| 2 | v41 |
| 1 | v41 |
| 3 | v41 |
| 4 | NULL |
| 5 | NULL |
| 6 | NULL |
+------+------+
6 rows in set (0.02 sec)
json_object
VARCHAR json_object(VARCHAR,...)
-- 生成一个包含指定Key-Value对的json object,
-- 传入的参数是key,value对，且key不能为null
MySQL> select json_object('time',curtime());
+--------------------------------+
| json_object('time', curtime()) |
+--------------------------------+
| {"time": "10:49:18"} |
+--------------------------------+
MySQL> SELECT json_object('id', 87, 'name', 'carrot');
+-----------------------------------------+
| json_object('id', 87, 'name', 'carrot') |
+-----------------------------------------+
| {"id": 87, "name": "carrot"} |
+-----------------------------------------+
json_object('id', 87, 'name', 'carrot');
MySQL> select json_object('username',null);
+---------------------------------+
| json_object('username', 'NULL') |
+---------------------------------+
| {"username": NULL} |
+---------------------------------+
窗口函数
ROW_NUMBER()，DENSE_RANK()，RANK()
-- 测试rank打行号，名次相同会并列排名，比如两个第一名，就是1 1 然后第二名会显示3
select x, y, rank() over(partition by x order by y) as rank from int_t;
| x | y | rank |
|----|------|----------|
| 1 | 1 | 1 |
| 1 | 2 | 2 |
| 1 | 2 | 2 |
| 2 | 1 | 1 |
| 2 | 2 | 2 |
| 2 | 3 | 3 |
| 3 | 1 | 1 |
| 3 | 1 | 1 |
| 3 | 2 | 3 |
-- 测试dense_rank(),名词相同会并列排名，比如两个第一名，就是1 1 然后第二名会显示2
select x, y, dense_rank() over(partition by x order by y) as rank from int_t;
| x | y | rank |
|----|------|----------|
| 1 | 1 | 1 |
| 1 | 2 | 2 |
| 1 | 2 | 2 |
| 2 | 1 | 1 |
| 2 | 2 | 2 |
| 2 | 3 | 3 |
| 3 | 1 | 1 |
| 3 | 1 | 1 |
| 3 | 2 | 2 |
-- 测试ROW_NUMBER() 按照分组排序要求，返回的编号依次底层，1 2 3 4 5 ，
-- 不会有重复值，也不会有空缺值，就是连续递增的整数，从1 开始
select x, y, row_number() over(partition by x order by y) as rank from int_t;
| x | y | rank |
|---|------|----------|
| 1 | 1 | 1 |
| 1 | 2 | 2 |
| 1 | 2 | 3 |
| 2 | 1 | 1 |
| 2 | 2 | 2 |
| 2 | 3 | 3 |
| 3 | 1 | 1 |
| 3 | 1 | 2 |
| 3 | 2 | 3 |
-- 数据
孙悟空,语文,87
孙悟空,数学,95
娜娜,英语,84
宋宋,语文,64
孙悟空,英语,68
宋宋,英语,84
婷婷,语文,65
娜娜,语文,94
宋宋,数学,86
婷婷,数学,85
娜娜,数学,56
婷婷,英语,78
-- 建表语句
create table stu
(
name varchar(50),
subject varchar(50),
score double
)
DUPLICATE KEY(name)
DISTRIBUTED BY HASH(name) BUCKETS 1;
-- 通过本地文件的方式导入数据
curl \
-u root: \
-H "label:num_test" \
-H "column_separator:," \
-T /root/data/stu.txt \
http://doitedu01:8040/api/test/stu/_stream_load
需求：
【相同分数并列(假设第一名有两个，排名就是并列第一，然后第三名从2开始)】
1.按照分数降序排序，求每个学科中每个人的名次
2.按照每个人的总分进行升序排列，得到每个人总分名次的名次
【相同分数并列(假设第一名有两个，排名就是并列第一，然后第三名从3开始)】
3.按照学科进行升序排列，得到每个人的每个学科的名次
4.按照每个人的总分进行升序排列，得到每个人总分名次的名次
【相同分数并列
(假设第一名有两个，排名就是并列第一，
就再单独比语文的成绩，然后数学，最后英语，
分数全部一样，按照学生名字的字典顺序，在前的为第一)】
5.按照每个人的总分进行升序排列，得到每个人总分名次的名次
-- 1.按照学科进行升序排列，得到每个人的每个学科的名次
select
name,subject,score,
dense_rank() over(partition by subject order by score desc) as rank
from stu
+-----------+---------+-------+------+
| name | subject | score | rank |
+-----------+---------+-------+------+
| 孙悟空 | 数学 | 95 | 1 |
| 宋宋 | 数学 | 86 | 2 |
| 婷婷 | 数学 | 85 | 3 |
| 娜娜 | 数学 | 56 | 4 |
| 娜娜 | 英语 | 84 | 1 |
| 宋宋 | 英语 | 84 | 1 |
| 婷婷 | 英语 | 78 | 2 |
| 孙悟空 | 英语 | 68 | 3 |
| 娜娜 | 语文 | 94 | 1 |
| 孙悟空 | 语文 | 87 | 2 |
| 婷婷 | 语文 | 65 | 3 |
| 宋宋 | 语文 | 64 | 4 |
+-----------+---------+-------+------+
-- 2.按照每个人的总分进行升序排列，得到每个人总分名次的名次
select
name,sum_score,
-- 因为是整体按照学生的总分进行求名次，所有学生为1组，就不需要分组了
dense_rank() over(order by sum_score desc) as rank
from
(
select
name,sum(score) as sum_score
from stu
group by name
) as t ;
+-----------+-----------+------+
| name | sum_score | rank |
+-----------+-----------+------+
| 孙悟空 | 250 | 1 |
| 宋宋 | 234 | 2 |
| 娜娜 | 234 | 2 |
| 婷婷 | 228 | 3 |
+-----------+-----------+------+
【相同分数并列(假设第一名有两个，排名就是并列第一，然后第三名从3开始)】
-- 3.按照学科进行升序排列，得到每个人的每个学科的名次
select
name,subject,score,
rank() over(partition by subject order by score desc) as rank
from stu
+-----------+---------+-------+------+
| name | subject | score | rank |
+-----------+---------+-------+------+
| 孙悟空 | 数学 | 95 | 1 |
| 宋宋 | 数学 | 86 | 2 |
| 婷婷 | 数学 | 85 | 3 |
| 娜娜 | 数学 | 56 | 4 |
| 娜娜 | 英语 | 84 | 1 |
| 宋宋 | 英语 | 84 | 1 |
| 婷婷 | 英语 | 78 | 3 |
| 孙悟空 | 英语 | 68 | 4 |
| 娜娜 | 语文 | 94 | 1 |
| 孙悟空 | 语文 | 87 | 2 |
| 婷婷 | 语文 | 65 | 3 |
| 宋宋 | 语文 | 64 | 4 |
+-----------+---------+-------+------+
-- 4.按照每个人的总分进行升序排列，得到每个人总分名次的名次
select
name,sum_score,
-- 因为是整体按照学生的总分进行求名次，所有学生为1组，就不需要分组了
rank() over(order by sum_score desc) as rank
from
(
select
name,sum(score) as sum_score
from stu
group by name
) as t ;
+-----------+-----------+------+
| name | sum_score | rank |
+-----------+-----------+------+
| 孙悟空 | 250 | 1 |
| 宋宋 | 234 | 2 |
| 娜娜 | 234 | 2 |
| 婷婷 | 228 | 4 |
+-----------+-----------+------+
【相同分数并列
(假设第一名有两个，排名就是并列第一，
就再单独比语文的成绩，然后数学，最后英语，
分数全部一样，按照学生名字的字典顺序，在前的为第一)】
-- 5.按照每个人的总分进行升序排列，得到每个人总分名次的名次
--方案1：利用窗口函数来列转行
select
name,subject,score as math_score,english_score,chinese_score,sum_score,
row_number()over(order by sum_score desc ,chinese_score desc ,score desc ,english_score desc,name asc) as num
from
(
select
name,subject,score,
lead(score,1,0)over(partition by name order by subject) as english_score,
lead(score,2,0)over(partition by name order by subject) as chinese_score,
sum(score)over(partition by name) as sum_score,
row_number()over(partition by name) as num
from stu
) as tmp
where num = 1
-- 方案2：利用if判断来列转行
select
name,chinese_score,match_score,english_score,sum_score,
row_number()over(order by sum_score desc ,chinese_score desc ,match_score desc ,english_score desc,name asc) as num
from
(
select
name,
sum(chinese_score) as chinese_score,
sum(match_score) as match_score,
sum(english_score) as english_score,
sum(chinese_score) + sum(match_score) + sum(english_score) as sum_score
from
(
select name,subject,
if(subject = '语文',score,0) as chinese_score,
if(subject = '数学',score,0) as match_score,
if(subject = '英语',score,0) as english_score
from stu
)as t
group by name
) as t1
+-----------+---------+------------+---------------+---------------+-----------+------+
| name | subject | math_score | english_score | chinese_score | sum_score | num |
+-----------+---------+------------+---------------+---------------+-----------+------+
| 孙悟空 | 数学 | 95 | 68 | 87 | 250 | 1 |
| 娜娜 | 数学 | 56 | 84 | 94 | 234 | 2 |
| 宋宋 | 数学 | 86 | 84 | 64 | 234 | 3 |
| 婷婷 | 数学 | 85 | 78 | 65 | 228 | 4 |
+-----------+---------+------------+---------------+---------------+-----------+------+
min，max，sum，avg，count
min(x)over() -- 取窗口中x列的最小值
max(x)over() -- 取窗口中x列的最大值
sum(x)over() -- 取窗口中x列的数据总和
avg(x)over() -- 取窗口中x列的数据平均值
count(x)over() -- 取窗口中x列有多少行
unbounded preceding
current row
1 following
1 PRECEDING
rows between unbounded preceding and current row --指在当前窗口中第一行到当前行的范围
rows between unbounded preceding and 1 following --指在当前窗口中第一行到当前行下一行的范围
rows between unbounded preceding and 1 PRECEDING --指在当前窗口中第一行到当前行前一行的范围
LEAD() ，LAG()
-- LAG() 方法用来计算当前行向前数若干行的值。
LAG(expr, offset, default) OVER (partition_by_clause order_by_clause)
-- LEAD() 方法用来计算当前行向后数若干行的值。
LEAD(expr, offset, default]) OVER (partition_by_clause order_by_clause)
漏斗模型分析函数window_funnel
业务目标、到达路径，路径步骤、步骤人数，步骤之间的相对转换率和绝对转换率
每一种业务都有他的核心任务和流程，而流程的每一个步骤，都可能有用户流失。
所以如果把每一个步骤及其对应的数据（如UV）拼接起来，就会形成一个上大下小的漏斗形态，这就是漏斗模型。文章来源：https://www.toymoban.com/news/detail-466237.html
-- 准备数据
uid event_id event_action event_time
u001,e1,view_detail_page,2022-11-01 01:10:21
u001,e2,add_bag_page,2022-11-01 01:11:13
u001,e3,collect_goods_page,2022-11-01 02:07:11
u002,e3,collect_goods_page,2022-11-01 01:10:21
u002,e4,order_detail_page,2022-11-01 01:11:13
u002,e5,pay_detail_page,2022-11-01 02:07:11
u002,e6,click_adver_page,2022-11-01 13:07:23
u002,e7,home_page,2022-11-01 08:18:12
u002,e8,list_detail_page,2022-11-01 23:34:29
u002,e1,view_detail_page,2022-11-01 11:25:32
u002,e2,add_bag_page,2022-11-01 12:41:21
u002,e3,collect_goods_page,2022-11-01 16:21:15
u002,e4,order_detail_page,2022-11-01 21:41:12
u003,e5,pay_detail_page,2022-11-01 01:10:21
u003,e6,click_adver_page,2022-11-01 01:11:13
u003,e7,home_page,2022-11-01 02:07:11
u001,e4,order_detail_page,2022-11-01 13:07:23
u001,e5,pay_detail_page,2022-11-01 08:18:12
u001,e6,click_adver_page,2022-11-01 23:34:29
u001,e7,home_page,2022-11-01 11:25:32
u001,e8,list_detail_page,2022-11-01 12:41:21
u001,e1,view_detail_page,2022-11-01 16:21:15
u001,e2,add_bag_page,2022-11-01 21:41:12
u003,e8,list_detail_page,2022-11-01 13:07:23
u003,e1,view_detail_page,2022-11-01 08:18:12
u003,e2,add_bag_page,2022-11-01 23:34:29
u003,e3,collect_goods_page,2022-11-01 11:25:32
u003,e4,order_detail_page,2022-11-01 12:41:21
u003,e5,pay_detail_page,2022-11-01 16:21:15
u003,e6,click_adver_page,2022-11-01 21:41:12
u004,e7,home_page,2022-11-01 01:10:21
u004,e8,list_detail_page,2022-11-01 01:11:13
u004,e1,view_detail_page,2022-11-01 02:07:11
u004,e2,add_bag_page,2022-11-01 13:07:23
u004,e3,collect_goods_page,2022-11-01 08:18:12
u004,e4,order_detail_page,2022-11-01 23:34:29
u004,e5,pay_detail_page,2022-11-01 11:25:32
u004,e6,click_adver_page,2022-11-01 12:41:21
u004,e7,home_page,2022-11-01 16:21:15
u004,e8,list_detail_page,2022-11-01 21:41:12
u005,e1,view_detail_page,2022-11-01 01:10:21
u005,e2,add_bag_page,2022-11-01 01:11:13
u005,e3,collect_goods_page,2022-11-01 02:07:11
u005,e4,order_detail_page,2022-11-01 13:07:23
u005,e5,pay_detail_page,2022-11-01 08:18:12
u005,e6,click_adver_page,2022-11-01 23:34:29
u005,e7,home_page,2022-11-01 11:25:32
u005,e8,list_detail_page,2022-11-01 12:41:21
u005,e1,view_detail_page,2022-11-01 16:21:15
u005,e2,add_bag_page,2022-11-01 21:41:12
u005,e3,collect_goods_page,2022-11-01 01:10:21
u006,e4,order_detail_page,2022-11-01 01:11:13
u006,e5,pay_detail_page,2022-11-01 02:07:11
u006,e6,click_adver_page,2022-11-01 13:07:23
u006,e7,home_page,2022-11-01 08:18:12
u006,e8,list_detail_page,2022-11-01 23:34:29
u006,e1,view_detail_page,2022-11-01 11:25:32
u006,e2,add_bag_page,2022-11-01 12:41:21
u006,e3,collect_goods_page,2022-11-01 16:21:15
u006,e4,order_detail_page,2022-11-01 21:41:12
u006,e5,pay_detail_page,2022-11-01 23:10:21
u006,e6,click_adver_page,2022-11-01 01:11:13
u007,e7,home_page,2022-11-01 02:07:11
u007,e8,list_detail_page,2022-11-01 13:07:23
u007,e1,view_detail_page,2022-11-01 08:18:12
u007,e2,add_bag_page,2022-11-01 23:34:29
u007,e3,collect_goods_page,2022-11-01 11:25:32
u007,e4,order_detail_page,2022-11-01 12:41:21
u007,e5,pay_detail_page,2022-11-01 16:21:15
u007,e6,click_adver_page,2022-11-01 21:41:12
u007,e7,home_page,2022-11-01 01:10:21
u008,e8,list_detail_page,2022-11-01 01:11:13
u008,e1,view_detail_page,2022-11-01 02:07:11
u008,e2,add_bag_page,2022-11-01 13:07:23
u008,e3,collect_goods_page,2022-11-01 08:18:12
u008,e4,order_detail_page,2022-11-01 23:34:29
u008,e5,pay_detail_page,2022-11-01 11:25:32
u008,e6,click_adver_page,2022-11-01 12:41:21
u008,e7,home_page,2022-11-01 16:21:15
u008,e8,list_detail_page,2022-11-01 21:41:12
u008,e1,view_detail_page,2022-11-01 01:10:21
u009,e2,add_bag_page,2022-11-01 01:11:13
u009,e3,collect_goods_page,2022-11-01 02:07:11
u009,e4,order_detail_page,2022-11-01 13:07:23
u009,e5,pay_detail_page,2022-11-01 08:18:12
u009,e6,click_adver_page,2022-11-01 23:34:29
u009,e7,home_page,2022-11-01 11:25:32
u009,e8,list_detail_page,2022-11-01 12:41:21
u009,e1,view_detail_page,2022-11-01 16:21:15
u009,e2,add_bag_page,2022-11-01 21:41:12
u009,e3,collect_goods_page,2022-11-01 01:10:21
u010,e4,order_detail_page,2022-11-01 01:11:13
u010,e5,pay_detail_page,2022-11-01 02:07:11
u010,e6,click_adver_page,2022-11-01 13:07:23
u010,e7,home_page,2022-11-01 08:18:12
u010,e8,list_detail_page,2022-11-01 23:34:29
u010,e5,pay_detail_page,2022-11-01 11:25:32
u010,e6,click_adver_page,2022-11-01 12:41:21
u010,e7,home_page,2022-11-01 16:21:15
u010,e8,list_detail_page,2022-11-01 21:41:12
-- 创建表
drop table if exists event_info_log;
create table event_info_log
(
uid varchar(20),
event_id varchar(20),
event_action varchar(20),
event_time datetime
)
DUPLICATE KEY(uid)
DISTRIBUTED BY HASH(uid) BUCKETS 1;
-- 通过本地文件的方式导入数据
curl \
-u root: \
-H "label:event_info_log" \
-H "column_separator:," \
-T /root/data/event_log.txt \
http://linux01:8040/api/test/event_info_log/_stream_load
封装、要素(时间范围，事件的排序时间依据，漏斗模型的事件链)文章来源地址https://www.toymoban.com/news/detail-466237.html
window_funnel(window, mode, timestamp_column, event1, event2, ... , eventN)
-- 漏斗分析函数搜索滑动时间窗口内最大的发生的最大事件序列长度。
-- window ：滑动时间窗口大小，单位为秒。
-- mode ：保留，目前只支持default。-- 相邻两个事件之间没有时间间隔要求，并且相邻两个事件中可以做其他的事件
-- timestamp_column ：指定时间列，类型为DATETIME, 滑动窗口沿着此列工作。
-- eventN ：表示事件的布尔表达式。
select
user_id,
window_funnel(3600*24, 'default', event_time, event_id='e1', event_id='e2' , event_id='e4', event_id='e5') as step
from event_info_log
group by user_id
+---------+------+
| user_id | step |
+---------+------+
| u006 | 4 |
| u007 | 2 |
| u005 | 3 |
| u004 | 3 |
| u010 | 0 |
| u001 | 3 |
| u003 | 2 |
| u002 | 3 |
| u008 | 3 |
| u009 | 2 |
+---------+------+
-- 算每一层级的转换率
select
'购买转化漏斗' as funnel_name,
sum(if(step >= 1 ,1,0)) as step1,
sum(if(step >= 2 ,1,0)) as step2,
sum(if(step >= 3 ,1,0)) as step3,
sum(if(step >= 4 ,1,0)) as step4,
round(sum(if(step >= 2 ,1,0))/sum(if(step >= 1 ,1,0)),2) as 'step1->step2_radio',
round(sum(if(step >= 3 ,1,0))/sum(if(step >= 2 ,1,0)),2) as 'step2->step3_radio',
round(sum(if(step >= 4 ,1,0))/sum(if(step >= 3 ,1,0)),2) as 'step3->step4_radio'
from
(
select
user_id,
window_funnel(3600*24, 'default', report_date, event_id='e1', event_id='e2' , event_id='e4', event_id='e5') as step
from event_info_log
where to_date(report_date) = '2022-11-01'
and event_id in('e1','e4','e5','e2')
group by user_id
) as t1
-- res
+--------------------+-------+-------+-------+-------+--------------------+--------------------+--------------------+
| funnel_name | step1 | step2 | step3 | step4 | step1->step2_radio | step2->step3_radio | step3->step4_radio |
+--------------------+-------+-------+-------+-------+--------------------+--------------------+--------------------+
| 购买转化漏斗 | 9 | 9 | 6 | 1 | 1 | 0.67 | 0.17 |
+--------------------+-------+-------+-------+-------+--------------------+--------------------+--------------------+
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