SELECT¶
SELECT¶
Syntax
SELECT [ ALL | DISTINCT ]
{ * | projectItem [, projectItem ]* }
FROM tableExpression
[ WHERE booleanExpression ]
[ GROUP BY { groupItem [, groupItem ]* } ]
[ HAVING booleanExpression ]
Description
This clause is used to select data from a table.
ALL indicates that all results are returned.
DISTINCT indicates that the duplicated results are removed.
Precautions
The to-be-queried table must exist. Otherwise, an error is reported.
WHERE is used to specify the filtering condition, which can be the arithmetic operator, relational operator, or logical operator.
GROUP BY is used to specify the grouping field, which can be one or more multiple fields.
Example
Select the order which contains more than 3 pieces of data.
insert into temp SELECT * FROM Orders WHERE units > 3;
Insert a group of constant data.
insert into temp select 'Lily', 'male', 'student', 17;
WHERE Filtering Clause¶
Syntax
SELECT { * | projectItem [, projectItem ]* }
FROM tableExpression
[ WHERE booleanExpression ]
Description
This clause is used to filter the query results using the WHERE clause.
Precautions
The to-be-queried table must exist.
WHERE filters the records that do not meet the requirements.
Example
Filter orders which contain more than 3 pieces and fewer than 10 pieces of data.
insert into temp SELECT * FROM Orders
WHERE units > 3 and units < 10;
HAVING Filtering Clause¶
Function
This clause is used to filter the query results using the HAVING clause.
Syntax
SELECT [ ALL | DISTINCT ] { * | projectItem [, projectItem ]* }
FROM tableExpression
[ WHERE booleanExpression ]
[ GROUP BY { groupItem [, groupItem ]* } ]
[ HAVING booleanExpression ]
Description
Generally, HAVING and GROUP BY are used together. GROUP BY applies first for grouping and HAVING then applies for filtering. The arithmetic operation and aggregate function are supported by the HAVING clause.
Precautions
If the filtering condition is subject to the query results of GROUP BY, the HAVING clause, rather than the WHERE clause, must be used for filtering.
Example
Group the student table according to the name field and filter the records in which the maximum score is higher than 95 based on groups.
insert into temp SELECT name, max(score) FROM student
GROUP BY name
HAVING max(score) >95;
Column-Based GROUP BY¶
Function
This clause is used to group a table based on columns.
Syntax
SELECT [ ALL | DISTINCT ] { * | projectItem [, projectItem ]* }
FROM tableExpression
[ WHERE booleanExpression ]
[ GROUP BY { groupItem [, groupItem ]* } ]
Description
Column-based GROUP BY can be categorized into single-column GROUP BY and multi-column GROUP BY.
Single-column GROUP BY indicates that the GROUP BY clause contains only one column.
Multi-column GROUP BY indicates that the GROUP BY clause contains multiple columns. The table will be grouped according to all fields in the GROUP BY clause. The records whose fields are the same are grouped into one group.
Precautions
GroupBy generates update results in the stream processing table.
Example
Group the student table according to the score and name fields and return the grouping results.
insert into temp SELECT name,score, max(score) FROM student
GROUP BY name,score;
Expression-Based GROUP BY¶
Function
This clause is used to group a table according to expressions.
Syntax
SELECT [ ALL | DISTINCT ] { * | projectItem [, projectItem ]* }
FROM tableExpression
[ WHERE booleanExpression ]
[ GROUP BY { groupItem [, groupItem ]* } ]
Description
groupItem can have one or more fields. The fields can be called by string functions, but cannot be called by aggregate functions.
Precautions
None
Example
Use the substring function to obtain the character string from the name field, group the student table according to the obtained character string, and return each sub string and the number of records.
insert into temp SELECT substring(name,6),count(name) FROM student
GROUP BY substring(name,6);
Grouping sets, Rollup, Cube¶
Function
The GROUP BY GROUPING SETS generates a result set equivalent to that generated by multiple simple GROUP BY UNION ALL statements. Using GROUPING SETS is more efficient.
The ROLLUP and CUBE generate multiple groups based on certain rules and then collect statistics by group.
The result set generated by CUBE contains all the combinations of values in the selected columns.
The result set generated by ROLLUP contains the combinations of a certain layer structure in the selected columns.
Syntax
SELECT [ ALL | DISTINCT ] { * | projectItem [, projectItem ]* }
FROM tableExpression
[ WHERE booleanExpression ]
[ GROUP BY groupingItem]
Description
Values of groupingItem can be Grouping sets(columnName [, columnName]*), Rollup(columnName [, columnName]*), and Cube(columnName [, columnName]*).
Precautions
None
Example
Return the results generated based on user and product.
INSERT INTO temp SELECT SUM(amount)
FROM Orders
GROUP BY GROUPING SETS ((user), (product));
GROUP BY Using HAVING¶
Function
This statement filters a table after grouping it using the HAVING clause.
Syntax
SELECT [ ALL | DISTINCT ] { * | projectItem [, projectItem ]* }
FROM tableExpression
[ WHERE booleanExpression ]
[ GROUP BY { groupItem [, groupItem ]* } ]
[ HAVING booleanExpression ]
Description
Generally, HAVING and GROUP BY are used together. GROUP BY applies first for grouping and HAVING then applies for filtering.
Precautions
If the filtering condition is subject to the query results of GROUP BY, the HAVING clause, rather than the WHERE clause, must be used for filtering. HAVING and GROUP BY are used together. GROUP BY applies first for grouping and HAVING then applies for filtering.
Fields used in HAVING, except for those used for aggregate functions, must exist in GROUP BY.
The arithmetic operation and aggregate function are supported by the HAVING clause.
Example
Group the transactions according to num, use the HAVING clause to filter the records in which the maximum value derived from multiplying price with amount is higher than 5000, and return the filtered results.
insert into temp SELECT num, max(price*amount) FROM transactions
WHERE time > '2016-06-01'
GROUP BY num
HAVING max(price*amount)>5000;