CpSc 3220 The Language of SQL Chapters 10-12

Summarizing Data Most SQL functions apply to scalar arguments SUMMARY or AGGREGATE functions apply to rows of data

Some Aggregate Functions DISTINCT SUM AVG MIN MAX COUNT

SQL Commands Used in Aggregations GROUP BY HAVING

Syntax of the SELECT statement SELECT [ALL | DISTINCT | DISTINCTROW ] [HIGH_PRIORITY] [STRAIGHT_JOIN] [SQL_SMALL_RESULT] [SQL_BIG_RESULT] [SQL_BUFFER_RESULT] [SQL_CACHE | SQL_NO_CACHE] [SQL_CALC_FOUND_ROWS] select_expr [, select_expr...] [FROM table_references [WHERE where_condition] [GROUP BY {col_name | expr | position} [ASC | DESC],... [WITH ROLLUP]] [HAVING where_condition] [ORDER BY {col_name | expr | position} [ASC | DESC],...] [LIMIT {[offset,] row_count | row_count OFFSET offset}] [PROCEDURE procedure_name(argument_list)] [INTO OUTFILE 'file_name' [CHARACTER SET charset_name] export_options | INTO DUMPFILE 'file_name' | INTO var_name [, var_name]] [FOR UPDATE | LOCK IN SHARE MODE]]

Eliminating Duplicates with DISTINCT Some SQL statements will generate result tables that contain duplicate rows Adding the DISTINCT keyword immediately after the SELECT command eliminates duplicates Example: SELECT DISTINCT artist from SongTitles;

Aggregate Functions Most aggregate functions apply only to numeric column data – SUM – AVG – MIN – MAX – COUNT – GROUP_CONCAT

The COUNT Function Three different usages Select count(*) from Grades; Select count(Grade) from Grades where gradeType=‘homework’; Select count(DISTINCT FeeType) from Fees;

Grouping Data SQL allows the grouping of rows by column values For example, we might want to group student records by Major code and apply summary functions to each group of rows with the same Major code value The GROUP BY clause handles this

GROUP BY Example SELECT GradeType,AVG(Grade) FROM Grades GROUP BY GradeType ORDER BY GradeType;

Multiple Columns and Sorting Groups can be based on more than one column Example: SELECT GradeType,Student,AVG(Grade) FROM Grades GROUP BY GradeType,Student ORDER BY GradeType,Student

Group Conditions Conditions can be used for Groups but not with a WHERE clause; a HAVING clause is used instead Example: SELECT GradeType,Student,AVG(Grade) FROM Grades GROUP BY GradeType,Student HAVING AVG(Grade) >= 70 ORDER BY GradeType,Student

Selection Criteria on Aggregates SELECT colList1 FROM tableList WHERE conditionForIncludionInTable GROUP BY colList2 HAVING conditionForInclusionInGroup ORDER BY colList3

The Full Select Command SELECT exp_list1 FROM table_list WHERE condition_exp GROUP BY exp_list2 HAVING condition_exp ORDER BY exp_list3

Combining Tables The previous slides have used the term tableList in the WHERE clause but we have only generated queries for a single table Tables can and will be combined in most meaningful queries The simplest way of combining tables is by Cartesian Product; attach every row from Table1 to every row from Table2

Combining Tables with INNER JOIN Example SELECT colList FROM table1 INNER JOIN table2 ON joinCondition [INNER JOIN table2 ON joinCondition]... WHERE colListSelectionCondition

Alternate Notation SELECT colList FROM table1 [, table2 ]... WHERE joinAndColListSelectionCondition

Combining Tales with OUTER JOIN OUTER JOINs allow the creation of a entry in the combined table even when a matching row is not found in one of the tables to be joined. The column entries for the missing data are all set to NULL

LEFT OUTER JOIN SELECT colList FROM table1 LEFT [OUTER] JOIN table2 ON joinCondition [LEFT [OUTER] JOIN table3 ON joinCondition]...

RIGHT JOIN SELECT colList FROM table1 RIGHT [OUTER] JOIN table2 ON joinCondition [RIGHT [OUTER] JOIN table3 ON joinCondition]...

Table Order in OUTER JOINs LEFT and RIGHT and INNER JOINs can be combined in a single statement Be careful to make sure multiple JOINs are done in the desired sequence A LEFT and a RIGHT combination is a FULL JOIN

Full Joins Not allowed in MySQL