Results for “Collections & data structures”
Small, practical examples. Search by task or narrow things down below.
Count rows satisfying separate conditions
SQL Server: SUM over CASE expressions calculates several conditional counts in one scan.
SQL Server✓ Tested
Count rows satisfying separate conditions
Postgres: SUM over CASE expressions calculates several conditional counts in one scan.
Postgres✓ Tested
Count rows satisfying separate conditions
SQLite: SUM over CASE expressions calculates several conditional counts in one scan.
SQLite✓ Tested
Count the rows in a table
SQL: COUNT(*) includes every row, including rows with NULL columns.
SQL✓ Tested
Count the rows in a table
SQL Server: COUNT(*) includes every row, including rows with NULL columns.
SQL Server✓ Tested
Count word frequencies
Use Map.merge to count repeated words in Java.
Java✓ Tested
Count word frequencies
Accumulate word counts in an ordered C++ map.
C++✓ Tested
Count words using a Map
Update a keyed counter without losing its value type.
Map✓ Tested
Count words with GroupBy
Group repeated C# words and print ordered counts.
C#✓ Tested
Create a native disclosure
Use details and summary to show optional HTML content without JavaScript.
HTML✓ Tested
Create a table and insert its first row
SQL: Define column types and a primary key, then insert one row using an explicit column list.
SQL✓ Tested
Create a table and insert its first row
SQL Server: Define column types and a primary key, then insert one row using an explicit column list.
SQL Server✓ Tested