I can select all the distinct values in a column in the following ways:
我可以通过以下方式在一列中选择所有不同的值:
SELECT DISTINCT column_name FROM table_name;
- 从table_name中选择不同的column_name;
SELECT column_name FROM table_name GROUP BY column_name;
- 根据column_name从table_name组中选择column_name;
But how do I get the row count from that query? Is a subquery required?
但是如何从查询中获取行数呢?子查询是必需的吗?
8 个解决方案
#1
488
You can use the DISTINCT
keyword within the COUNT
aggregate function:
您可以在COUNT聚集函数中使用独特的关键字:
SELECT COUNT(DISTINCT column_name) AS some_alias FROM table_name
This will count only the distinct values for that column.
这将只计算该列的不同值。
#2
133
This will give you BOTH the distinct column values and the count of each value. I usually find that I want to know both pieces of information.
这将为您提供不同的列值和每个值的计数。我通常发现我想知道这两个信息。
select distinct columnName, count(columnName) as CountOf from tableName group by columnName
#3
23
Be aware that Count() ignores null values, so if you need to allow for null as its own distinct value you can do something tricky like:
注意Count()忽略了null值,因此如果需要允许null作为它自己的独立值,可以执行以下操作:
select count(distinct my_col)
+ count(distinct Case when my_col is null then 1 else null end)
from my_table
/
#4
9
SELECT COUNT(DISTINCT column_name) FROM table as column_name_count;
you've got to count that distinct col, then give it an alias.
你必须数清楚那个不同的col,然后给它一个别名。
#5
9
select count(*) from
(
SELECT distinct column1,column2,column3,column4 FROM abcd
) T
This will give count of distinct group of columns.
这将给出不同列的计数。
#6
8
An sql sum of column_name's unique values and sorted by the frequency:
column_name的唯一值的sql和,并按频率排序:
SELECT column_name, COUNT(*) FROM table_name GROUP BY column_name ORDER BY 2 DESC;
#7
6
select Count(distinct columnName) as columnNameCount from tableName
#8
-6
Count(distinct({fieldname})) is redundant
计数(不同({ fieldname }))是多余的
Simply Count({fieldname}) gives you all the distinct values in that table. It will not (as many presume) just give you the Count of the table [i.e. NOT the same as Count(*) from table]
只需Count({fieldname})就会为您提供该表中所有不同的值。它不会(像许多人认为的那样)只给你一个表格的计数。与表中的Count(*)不同
#1
488
You can use the DISTINCT
keyword within the COUNT
aggregate function:
您可以在COUNT聚集函数中使用独特的关键字:
SELECT COUNT(DISTINCT column_name) AS some_alias FROM table_name
This will count only the distinct values for that column.
这将只计算该列的不同值。
#2
133
This will give you BOTH the distinct column values and the count of each value. I usually find that I want to know both pieces of information.
这将为您提供不同的列值和每个值的计数。我通常发现我想知道这两个信息。
select distinct columnName, count(columnName) as CountOf from tableName group by columnName
#3
23
Be aware that Count() ignores null values, so if you need to allow for null as its own distinct value you can do something tricky like:
注意Count()忽略了null值,因此如果需要允许null作为它自己的独立值,可以执行以下操作:
select count(distinct my_col)
+ count(distinct Case when my_col is null then 1 else null end)
from my_table
/
#4
9
SELECT COUNT(DISTINCT column_name) FROM table as column_name_count;
you've got to count that distinct col, then give it an alias.
你必须数清楚那个不同的col,然后给它一个别名。
#5
9
select count(*) from
(
SELECT distinct column1,column2,column3,column4 FROM abcd
) T
This will give count of distinct group of columns.
这将给出不同列的计数。
#6
8
An sql sum of column_name's unique values and sorted by the frequency:
column_name的唯一值的sql和,并按频率排序:
SELECT column_name, COUNT(*) FROM table_name GROUP BY column_name ORDER BY 2 DESC;
#7
6
select Count(distinct columnName) as columnNameCount from tableName
#8
-6
Count(distinct({fieldname})) is redundant
计数(不同({ fieldname }))是多余的
Simply Count({fieldname}) gives you all the distinct values in that table. It will not (as many presume) just give you the Count of the table [i.e. NOT the same as Count(*) from table]
只需Count({fieldname})就会为您提供该表中所有不同的值。它不会(像许多人认为的那样)只给你一个表格的计数。与表中的Count(*)不同