SELECT

SELECT

Syntax

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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.

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insert into temp SELECT  * FROM Orders WHERE units > 3; 

Insert a group of constant data.

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insert into temp select 'Lily', 'male', 'student', 17;

WHERE Filtering Clause

Syntax

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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.

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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

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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.

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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

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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.

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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

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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.

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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.

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

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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.

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insert into temp SELECT num, max(price*amount) FROM transactions
  WHERE time > '2016-06-01'
  GROUP BY num
  HAVING max(price*amount)>5000;