How to return rows that have the same column values in MySql
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Lets consider the following table-
ID Score 1 95 2 100 3 88 4 100 5 73
I am a total SQL noob but how do I return the Scores featuring both IDs 2 and 4? So it should return 100 since its featured in both ID 2 and 4
This is an example of a "sets-within-sets" query. I recommend aggregation with the
having clause, because it is the most flexible approach.
select score from t group by score having sum(id = 2) > 0 and -- has id = 2 sum(id = 4) > 0 -- has id = 4
What this is doing is aggregating by score. Then the first part of the
having clause (
sum(id = 2)) is counting up how many "2"s there are per score. The second is counting up how many "4"s. Only scores that have at a "2" and "4" are returned.
select rows where column contains same data in more than one record, How do I get the same values in the same column in SQL? Now, we ill get only the rows that have same value for column using the following query − mysql> select * from RowValueDemo where Name in ( -> select Name from RowValueDemo -> group by Name having count(*) > 1 -> ); The following is the output.
SELECT score FROM t WHERE id in (2, 4) HAVING COUNT(*) = 2 /* replace this with the number of IDs */
This selects the rows with ID 2 and 4. The
HAVING clause then ensures that we found both rows; if either is missing, the count will be less than 2.
This assumes that
id is a unique column.
Solved: How to deal with duplicate columns in case of full, How do I get the same row value in SQL? Rows in the table can have identical values in one or more columns. However, in some cases, when you SELECT a column, you don’t want to retrieve multiple rows with identical values. You want to retrieve the value only once.
select Score from tbl a where a.ID = 2 -- based off Score with ID = 2 --include Score only if it exists with ID 6 also and exists ( select 1 from tbl b where b.Score = a.Score and b.ID = 6 ) -- optional? ignore Score that exists with other ids as well and not exists ( select 1 from tbl c where c.Score = a.Score and c.ID not in (2, 6) )
Find rows that have the same value on a column in MySQL?, mysql> select * from RowValueDemo where Name in ( -> select Name from RowValueDemo -> group by Name having count(*) > 1 -> ); The following is the output. This selects the rows with ID 2 and 4. The HAVING clause then ensures that we found both rows; if either is missing, the count will be less than 2. This assumes that id is a unique column.
How To Find Duplicate Values in MySQL, HAVING is a great aggregate filter. (http://dev.mysql.com/doc/refman/5.6/en/group-by-extensions.html) For example, select the article_titles with more than on The find duplicate values in on one column of a table, you use follow these steps: First, use the GROUP BY clause to group all rows by the target column, which is the column that you want to check duplicate. Then, use the COUNT() function in the HAVING clause to check if any group have more than 1 element. These groups are duplicate.
MySQL COUNT - Counting Rows in a Table, First, create a table named contacts with four columns: id , first_name In the contacts table, we have some rows that have duplicate values in the SELECT col, COUNT(col) FROM table_name GROUP BY col HAVING COUNT(col) > 1;. You can add the DISTINCT argument to return only the number of unique (nonnull) values. You might’ve noticed that the every row in our TaskDescription column contains the same value (“TBA”). And the TaskName column also has a duplicate value (“Feed cats” appears twice).
Find duplicate data in MySQL, The COUNT(*) returns the number of rows including duplicate, non-NULL and NULL rows. returns the number of distinct rows that do not contain NULL values as the result The COUNT() function returns 0 if there is no matching row found. Introduction to the MySQL COUNT function. The COUNT function returns the number of rows in a table. The COUNT function allows you to count all rows in a table or just the rows that match a specified condition. The syntax of the COUNT function is as follows.
- In the more general case, when
idis not guaranteed to be unique, we could use use
COUNT(DISTINCT id)in place of
- That's true, but in my experience, practically all uses of this pattern involve unique columns.