The function Countifs can often be implemented with an and condition in the case expression. SQL: COUNT(CASE WHEN A = 42 THEN 1 END) + SQL: COUNT(CASE WHEN A LIKE 'Marvin%' THEN 1 END)Ĭountif over multiple columns is done as the sum of one count function per column: Excel: =COUNTIF( Ax: Cy, 42) The like operator uses underscore ( _) as a wildcard for a single character and the percent sign ( %) as the wildcard for any number of characters-like ? and * in Excels countif. To use wildcards in SQL, you have to use the like operator. Unlike the Excel countif function, SQL does not apply wildcard matches when comparing strings with the equals sign ( =). PostgreSQL, the Oracle database and SQLite do-per default-take case differences into account. Even the default varies between database products: MySQL, MariaDB and SQL Server perform case-insensitive comparisons by default. Whether or not SQL text comparisons ignore case differences depends on the so-called collation. SQL: COUNT(CASE WHEN A = 'Marvin' THEN 1 END) Text values, however, must be put under single quotes 0: Excel: =COUNTIF( Ax:Ay, "Marvin") The condition is not put under quotes-not even when using a comparison operator: Excel: =COUNTIF(Ax:Ay, "> 42") The column is explicitly used in the that is put into the case expression. The the group by and over clauses specify the rows.
In SQL, the picking the rows is separate from the picking of the columns. In Excel, the defines arbitrary cells-Ax:Ay in the following examples. The same behavior can be obtained in SQL by using a case expression inside the count function: SQL: COUNT(CASE WHEN THEN 1 END)
The Microsoft Excel function countif counts cells that satisfy a condition: Excel: =COUNTIF(, )
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