The Jakarta Persistence Query Language

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This chapter describes the Jakarta Persistence query language that defines queries for entities and their persistent state. The query language allows you to write portable queries that work regardless of the underlying data store.

Overview of the Jakarta Persistence Query Language

The query language uses the abstract persistence schemas of entities, including their relationships, for its data model and defines operators and expressions based on this data model. The scope of a query spans the abstract schemas of related entities that are packaged in the same persistence unit. The query language uses an SQL-like syntax to select objects or values based on entity abstract schema types and relationships among them.

This chapter relies on the material presented in earlier chapters. For conceptual information, see Introduction to Jakarta Persistence. For code examples, see Running the Persistence Examples.

Query Language Terminology

The following list defines some of the terms referred to in this chapter.

Abstract schema: The persistent schema abstraction (persistent entities, their state, and their relationships) over which queries operate. The query language translates queries over this persistent schema abstraction into queries that are executed over the database schema to which entities are mapped.
Abstract schema type: The type to which the persistent property of an entity evaluates in the abstract schema. That is, each persistent field or property in an entity has a corresponding state field of the same type in the abstract schema. The abstract schema type of an entity is derived from the entity class and the metadata information provided by Java language annotations.
Backus-Naur Form (BNF): A notation that describes the syntax of high-level languages. The syntax diagrams in this chapter are in BNF notation.
Navigation: The traversal of relationships in a query language expression. The navigation operator is a period.
Path expression: An expression that navigates to an entity’s state or relationship field.
State field: A persistent field of an entity.
Relationship field: A persistent field of an entity whose type is the abstract schema type of the related entity.

Creating Queries Using the Jakarta Persistence Query Language

The EntityManager.createQuery and EntityManager.createNamedQuery methods are used to query the datastore by using Jakarta Persistence query language queries.

The createQuery method is used to create dynamic queries, which are queries defined directly within an application’s business logic:

public List findWithName(String name) {
return em.createQuery(
    "SELECT c FROM Customer c WHERE c.name LIKE :custName")
    .setParameter("custName", name)
    .setMaxResults(10)
    .getResultList();
}

The createNamedQuery method is used to create static queries, or queries that are defined in metadata by using the jakarta.persistence.NamedQuery annotation. The name element of @NamedQuery specifies the name of the query that will be used with the createNamedQuery method. The query element of @NamedQuery is the query:

@NamedQuery(
    name="findAllCustomersWithName",
    query="SELECT c FROM Customer c WHERE c.name LIKE :custName"
)

Here’s an example of createNamedQuery, which uses the @NamedQuery:

@PersistenceContext
public EntityManager em;
...
customers = em.createNamedQuery("findAllCustomersWithName")
    .setParameter("custName", "Smith")
    .getResultList();

Named Parameters in Queries

Named parameters are query parameters that are prefixed with a colon (:). Named parameters in a query are bound to an argument by the following method:

jakarta.persistence.Query.setParameter(String name, Object value)

In the following example, the name argument to the findWithName business method is bound to the :custName named parameter in the query by calling Query.setParameter:

public List findWithName(String name) {
    return em.createQuery(
        "SELECT c FROM Customer c WHERE c.name LIKE :custName")
        .setParameter("custName", name)
        .getResultList();
}

Named parameters are case-sensitive and may be used by both dynamic and static queries.

Positional Parameters in Queries

You may use positional parameters instead of named parameters in queries. Positional parameters are prefixed with a question mark (?) followed by the numeric position of the parameter in the query. The method Query.setParameter(integer position, Object value) is used to set the parameter values.

In the following example, the findWithName business method is rewritten to use input parameters:

public List findWithName(String name) {
    return em.createQuery(
        "SELECT c FROM Customer c WHERE c.name LIKE ?1")
        .setParameter(1, name)
        .getResultList();
}

Input parameters are numbered starting from 1. Input parameters are case-sensitive, and may be used by both dynamic and static queries.

Simplified Query Language Syntax

This section briefly describes the syntax of the query language so that you can quickly move on to Example Queries. When you are ready to learn about the syntax in more detail, see Full Query Language Syntax.

Select Statements

A select query has six clauses: SELECT, FROM, WHERE, GROUP BY, HAVING, and ORDER BY. The SELECT and FROM clauses are required, but the WHERE, GROUP BY, HAVING, and ORDER BY clauses are optional. Here is the high-level BNF syntax of a query language select query:

QL_statement ::= select_clause from_clause
  [where_clause][groupby_clause][having_clause][orderby_clause]

The BNF syntax defines the following clauses.

The SELECT clause defines the types of the objects or values returned by the query.
The FROM clause defines the scope of the query by declaring one or more identification variables, which can be referenced in the SELECT and WHERE clauses. An identification variable represents one of the following elements:
- The abstract schema name of an entity
- An element of a collection relationship
- An element of a single-valued relationship
- A member of a collection that is the multiple side of a one-to-many relationship
The WHERE clause is a conditional expression that restricts the objects or values retrieved by the query. Although the clause is optional, most queries have a WHERE clause.
The GROUP BY clause groups query results according to a set of properties.
The HAVING clause is used with the GROUP BY clause to further restrict the query results according to a conditional expression.
The ORDER BY clause sorts the objects or values returned by the query into a specified order.

Update and Delete Statements

Update and delete statements provide bulk operations over sets of entities. These statements have the following syntax:

update_statement :: = update_clause [where_clause]
delete_statement :: = delete_clause [where_clause]

The update and delete clauses determine the type of the entities to be updated or deleted. The WHERE clause may be used to restrict the scope of the update or delete operation.

Example Queries

The following queries are from the Player entity of the roster application, which is documented in The roster Application.

Simple Queries

If you are unfamiliar with the query language, these simple queries are a good place to start.

A Basic Select Query

SELECT p
FROM Player p

Data retrieved: All players.
Description: The FROM clause declares an identification variable named p, omitting the optional keyword AS. If the AS keyword were included, the clause would be written as follows:
```
FROM Player AS p
```
The Player element is the abstract schema name of the Player entity.
See also: Identification Variables.

Eliminating Duplicate Values

SELECT DISTINCT p
FROM Player p
WHERE p.position = ?1

Data retrieved: The players with the position specified by the query’s parameter.
Description: The DISTINCT keyword eliminates duplicate values.

The WHERE clause restricts the players retrieved by checking their position, a persistent field of the Player entity. The ?1 element denotes the input parameter of the query.
See also: Input Parameters and The DISTINCT Keyword.

Using Named Parameters

SELECT DISTINCT p
FROM Player p
WHERE p.position = :position AND p.name = :name

Data retrieved: The players having the specified positions and names.
Description: The position and name elements are persistent fields of the Player entity. The WHERE clause compares the values of these fields with the named parameters of the query, set using the Query.setNamedParameter method. The query language denotes a named input parameter using a colon (:) followed by an identifier. The first input parameter is :position, the second is :name.

Queries That Navigate to Related Entities

In the query language, an expression can traverse, or navigate, to related entities. These expressions are the primary difference between the Jakarta Persistence query language and SQL. Queries navigates to related entities, whereas SQL joins tables.

A Simple Query with Relationships

SELECT DISTINCT p
FROM Player p, IN (p.teams) t

Data retrieved: All players who belong to a team.
Description: The FROM clause declares two identification variables: p and t. The p variable represents the Player entity, and the t variable represents the related Team entity. The declaration for t references the previously declared p variable. The IN keyword signifies that teams is a collection of related entities. The p.teams expression navigates from a Player to its related Team. The period in the p.teams expression is the navigation operator.

You may also use the JOIN statement to write the same query:
```
SELECT DISTINCT p
FROM Player p JOIN p.teams t
```
This query could also be rewritten as:
```
SELECT DISTINCT p
FROM Player p
WHERE p.team IS NOT EMPTY
```

Navigating to Single-Valued Relationship Fields

Use the JOIN clause statement to navigate to a single-valued relationship field:

SELECT t
FROM Team t JOIN t.league l
WHERE l.sport = 'soccer' OR l.sport ='football'

In this example, the query will return all teams that are in either soccer or football leagues.

Traversing Relationships with an Input Parameter

SELECT DISTINCT p
FROM Player p, IN (p.teams) AS t
WHERE t.city = :city

Data retrieved: The players whose teams belong to the specified city.
Description: This query is similar to the previous example but adds an input parameter. The AS keyword in the FROM clause is optional. In the WHERE clause, the period preceding the persistent variable city is a delimiter, not a navigation operator. Strictly speaking, expressions can navigate to relationship fields (related entities) but not to persistent fields. To access a persistent field, an expression uses the period as a delimiter.

Expressions cannot navigate beyond (or further qualify) relationship fields that are collections. In the syntax of an expression, a collection-valued field is a terminal symbol. Because the teams field is a collection, the WHERE clause cannot specify p.teams.city (an illegal expression).
See also: Path Expressions.

Traversing Multiple Relationships

SELECT DISTINCT p
FROM Player p, IN (p.teams) t
WHERE t.league = :league

Data retrieved: The players who belong to the specified league.
Description: The expressions in this query navigate over two relationships. The p.teams expression navigates the Player-Team relationship, and the t.league expression navigates the Team-League relationship.

In the other examples, the input parameters are String objects; in this example, the parameter is an object whose type is a League. This type matches the league relationship field in the comparison expression of the WHERE clause.

Navigating According to Related Fields

SELECT DISTINCT p
FROM Player p, IN (p.teams) t
WHERE t.league.sport = :sport

Data retrieved: The players who participate in the specified sport.
Description: The sport persistent field belongs to the League entity. To reach the sport field, the query must first navigate from the Player entity to Team (p.teams) and then from Team to the League entity (t.league). Because it is not a collection, the league relationship field can be followed by the sport persistent field.

Queries with Other Conditional Expressions

Every WHERE clause must specify a conditional expression, of which there are several kinds. In the previous examples, the conditional expressions are comparison expressions that test for equality. The following examples demonstrate some of the other kinds of conditional expressions. For descriptions of all conditional expressions, see WHERE Clause.

The LIKE Expression

SELECT p
FROM Player p
WHERE p.name LIKE 'Mich%'

Data retrieved: All players whose names begin with "Mich."
Description: The LIKE expression uses wildcard characters to search for strings that match the wildcard pattern. In this case, the query uses the LIKE expression and the % wildcard to find all players whose names begin with the string "Mich." For example, "Michael" and "Michelle" both match the wildcard pattern.
See also: LIKE Expressions.

The IS NULL Expression

SELECT t
FROM Team t
WHERE t.league IS NULL

Data retrieved: All teams not associated with a league.
Description: The IS NULL expression can be used to check whether a relationship has been set between two entities. In this case, the query checks whether the teams are associated with any leagues and returns the teams that do not have a league.
See also: NULL Comparison Expressions and NULL Values.

The IS EMPTY Expression

SELECT p
FROM Player p
WHERE p.teams IS EMPTY

Data retrieved: All players who do not belong to a team.
Description: The teams relationship field of the Player entity is a collection. If a player does not belong to a team, the teams collection is empty, and the conditional expression is TRUE.
See also: Empty Collection Comparison Expressions.

The BETWEEN Expression

SELECT DISTINCT p
FROM Player p
WHERE p.salary BETWEEN :lowerSalary AND :higherSalary

Data retrieved: The players whose salaries fall within the range of the specified salaries.
Description: This BETWEEN expression has three arithmetic expressions: a persistent field (p.salary) and the two input parameters (:lowerSalary and :higherSalary). The following expression is equivalent to the BETWEEN expression:
```
p.salary >= :lowerSalary AND p.salary <= :higherSalary
```
See also: BETWEEN Expressions.

Comparison Operators

SELECT DISTINCT p1
FROM Player p1, Player p2
WHERE p1.salary > p2.salary AND p2.name = :name

Data retrieved: All players whose salaries are higher than the salary of the player with the specified name.
Description: The FROM clause declares two identification variables (p1 and p2) of the same type (Player). Two identification variables are needed because the WHERE clause compares the salary of one player (p2) with that of the other players (p1).
See also: Identification Variables.

Bulk Updates and Deletes

The following examples show how to use the UPDATE and DELETE expressions in queries. UPDATE and DELETE operate on multiple entities according to the condition or conditions set in the WHERE clause. The WHERE clause in UPDATE and DELETE queries follows the same rules as SELECT queries.

Update Queries

UPDATE Player p
SET p.status = 'inactive'
WHERE p.lastPlayed < :inactiveThresholdDate

Description: This query sets the status of a set of players to inactive if the player’s last game was longer ago than the date specified in inactiveThresholdDate.

Delete Queries

DELETE
FROM Player p
WHERE p.status = 'inactive'
AND p.teams IS EMPTY

Description: This query deletes all inactive players who are not on a team.

Full Query Language Syntax

This section discusses the query language syntax, as defined in the Jakarta Persistence 3.0 specification available at https://jakarta.ee/specifications/persistence/3.0/. Much of the following material paraphrases or directly quotes the specification.

BNF Symbols

BNF Symbol Summary describes the BNF symbols used in this chapter.

BNF Symbol Summary
Symbol	Description
`::=`	The element to the left of the symbol is defined by the constructs on the right.
`*`	The preceding construct may occur zero or more times.
`{…}`	The constructs within the braces are grouped together.
`[…]`	The constructs within the brackets are optional.
`\|`	An exclusive `OR`.
`BOLDFACE`	A keyword; although capitalized in the BNF diagram, keywords are not case-sensitive.
White space	A whitespace character can be a space, a horizontal tab, or a line feed.

BNF Grammar of the Jakarta Persistence Query Language

Here is the entire BNF diagram for the query language:

QL_statement ::= select_statement | update_statement | delete_statement
select_statement ::= select_clause from_clause [where_clause] [groupby_clause]
    [having_clause] [orderby_clause]
update_statement ::= update_clause [where_clause]
delete_statement ::= delete_clause [where_clause]
from_clause ::=
    FROM identification_variable_declaration
        {, {identification_variable_declaration |
            collection_member_declaration}}*
identification_variable_declaration ::=
        range_variable_declaration { join | fetch_join }*
range_variable_declaration ::= abstract_schema_name [AS]
        identification_variable
join ::= join_spec join_association_path_expression [AS]
        identification_variable
fetch_join ::= join_specFETCH join_association_path_expression
association_path_expression ::=
        collection_valued_path_expression |
        single_valued_association_path_expression
join_spec::= [LEFT [OUTER] |INNER] JOIN
join_association_path_expression ::=
        join_collection_valued_path_expression |
        join_single_valued_association_path_expression
join_collection_valued_path_expression::=
    identification_variable.collection_valued_association_field
join_single_valued_association_path_expression::=
        identification_variable.single_valued_association_field
collection_member_declaration ::=
        IN (collection_valued_path_expression) [AS]
        identification_variable
single_valued_path_expression ::=
        state_field_path_expression |
        single_valued_association_path_expression
state_field_path_expression ::=
    {identification_variable |
    single_valued_association_path_expression}.state_field
single_valued_association_path_expression ::=
    identification_variable.{single_valued_association_field.}*
    single_valued_association_field
collection_valued_path_expression ::=
    identification_variable.{single_valued_association_field.}*
    collection_valued_association_field
state_field ::=
    {embedded_class_state_field.}*simple_state_field
update_clause ::=UPDATE abstract_schema_name [[AS]
    identification_variable] SET update_item {, update_item}*
update_item ::= [identification_variable.]{state_field |
    single_valued_association_field} = new_value
new_value ::=
     simple_arithmetic_expression |
    string_primary |
    datetime_primary |
    boolean_primary |
    enum_primary simple_entity_expression |
    NULL
delete_clause ::= DELETE FROM abstract_schema_name [[AS]
    identification_variable]
select_clause ::= SELECT [DISTINCT] select_expression {,
    select_expression}*
select_expression ::=
    single_valued_path_expression |
    aggregate_expression |
    identification_variable |
    OBJECT(identification_variable) |
    constructor_expression
constructor_expression ::=
    NEW constructor_name(constructor_item {,
    constructor_item}*)
constructor_item ::= single_valued_path_expression |
    aggregate_expression
aggregate_expression ::=
    {AVG |MAX |MIN |SUM} ([DISTINCT]
        state_field_path_expression) |
    COUNT ([DISTINCT] identification_variable |
        state_field_path_expression |
        single_valued_association_path_expression)
where_clause ::= WHERE conditional_expression
groupby_clause ::= GROUP BY groupby_item {, groupby_item}*
groupby_item ::= single_valued_path_expression
having_clause ::= HAVING conditional_expression
orderby_clause ::= ORDER BY orderby_item {, orderby_item}*
orderby_item ::= state_field_path_expression [ASC |DESC]
subquery ::= simple_select_clause subquery_from_clause
    [where_clause] [groupby_clause] [having_clause]
subquery_from_clause ::=
    FROM subselect_identification_variable_declaration
        {, subselect_identification_variable_declaration}*
subselect_identification_variable_declaration ::=
    identification_variable_declaration |
    association_path_expression [AS] identification_variable |
    collection_member_declaration
simple_select_clause ::= SELECT [DISTINCT]
    simple_select_expression
simple_select_expression::=
    single_valued_path_expression |
    aggregate_expression |
    identification_variable
conditional_expression ::= conditional_term |
    conditional_expression OR conditional_term
conditional_term ::= conditional_factor | conditional_term AND
    conditional_factor
conditional_factor ::= [NOT] conditional_primary
conditional_primary ::= simple_cond_expression |(
    conditional_expression)
simple_cond_expression ::=
    comparison_expression |
    between_expression |
    like_expression |
    in_expression |
    null_comparison_expression |
    empty_collection_comparison_expression |
    collection_member_expression |
    exists_expression
between_expression ::=
    arithmetic_expression [NOT] BETWEEN
        arithmetic_expressionAND arithmetic_expression |
    string_expression [NOT] BETWEEN string_expression AND
        string_expression |
    datetime_expression [NOT] BETWEEN
        datetime_expression AND datetime_expression
in_expression ::=
    state_field_path_expression [NOT] IN (in_item {, in_item}*
    | subquery)
in_item ::= literal | input_parameter
like_expression ::=
    string_expression [NOT] LIKE pattern_value [ESCAPE
        escape_character]
null_comparison_expression ::=
    {single_valued_path_expression | input_parameter} IS [NOT]
        NULL
empty_collection_comparison_expression ::=
    collection_valued_path_expression IS [NOT] EMPTY
collection_member_expression ::= entity_expression
    [NOT] MEMBER [OF] collection_valued_path_expression
exists_expression::= [NOT] EXISTS (subquery)
all_or_any_expression ::= {ALL |ANY |SOME} (subquery)
comparison_expression ::=
    string_expression comparison_operator {string_expression |
    all_or_any_expression} |
    boolean_expression {= |<> } {boolean_expression |
    all_or_any_expression} |
    enum_expression {= |<> } {enum_expression |
    all_or_any_expression} |
    datetime_expression comparison_operator
        {datetime_expression | all_or_any_expression} |
    entity_expression {= |<> } {entity_expression |
    all_or_any_expression} |
    arithmetic_expression comparison_operator
        {arithmetic_expression | all_or_any_expression}
comparison_operator ::= = |> |>= |< |<= |<>
arithmetic_expression ::= simple_arithmetic_expression |
    (subquery)
simple_arithmetic_expression ::=
    arithmetic_term | simple_arithmetic_expression {+ |- }
        arithmetic_term
arithmetic_term ::= arithmetic_factor | arithmetic_term {* |/ }
    arithmetic_factor
arithmetic_factor ::= [{+ |- }] arithmetic_primary
arithmetic_primary ::=
    state_field_path_expression |
    numeric_literal |
    (simple_arithmetic_expression) |
    input_parameter |
    functions_returning_numerics |
    aggregate_expression
string_expression ::= string_primary | (subquery)
string_primary ::=
    state_field_path_expression |
    string_literal |
    input_parameter |
    functions_returning_strings |
    aggregate_expression
datetime_expression ::= datetime_primary | (subquery)
datetime_primary ::=
    state_field_path_expression |
    input_parameter |
    functions_returning_datetime |
    aggregate_expression
boolean_expression ::= boolean_primary | (subquery)
boolean_primary ::=
    state_field_path_expression |
    boolean_literal |
    input_parameter
 enum_expression ::= enum_primary | (subquery)
enum_primary ::=
    state_field_path_expression |
    enum_literal |
    input_parameter
entity_expression ::=
    single_valued_association_path_expression |
        simple_entity_expression
simple_entity_expression ::=
    identification_variable |
    input_parameter
functions_returning_numerics::=
    LENGTH(string_primary) |
    LOCATE(string_primary, string_primary[,
        simple_arithmetic_expression]) |
    ABS(simple_arithmetic_expression) |
    SQRT(simple_arithmetic_expression) |
    MOD(simple_arithmetic_expression,
        simple_arithmetic_expression) |
    SIZE(collection_valued_path_expression)
functions_returning_datetime ::=
    CURRENT_DATE |
    CURRENT_TIME |
    CURRENT_TIMESTAMP
functions_returning_strings ::=
    CONCAT(string_primary, string_primary) |
    SUBSTRING(string_primary,
        simple_arithmetic_expression,
        simple_arithmetic_expression)|
    TRIM([[trim_specification] [trim_character] FROM]
        string_primary) |
    LOWER(string_primary) |
    UPPER(string_primary)
trim_specification ::= LEADING | TRAILING | BOTH

FROM Clause

The FROM clause defines the domain of the query by declaring identification variables.

Identifiers

An identifier is a sequence of one or more characters. The first character must be a valid first character (letter, $, _) in an identifier of the Java programming language, hereafter in this chapter called simply “Java”. Each subsequent character in the sequence must be a valid nonfirst character (letter, digit, $, _) in a Java identifier. (For details, see the Java SE API documentation of the isJavaIdentifierStart and isJavaIdentifierPart methods of the Character class.) The question mark (?) is a reserved character in the query language and cannot be used in an identifier.

A query language identifier is case-sensitive, with two exceptions:

Keywords
Identification variables

An identifier cannot be the same as a query language keyword. Here is a list of query language keywords:

ABS

ALL

AND

ANY

AS

ASC

AVG

BETWEEN

BIT_LENGTH

BOTH

BY

CASE

CHAR_LENGTH

CHARACTER_LENGTH

CLASS

COALESCE

CONCAT

COUNT

CURRENT_DATE

CURRENT_TIMESTAMP

DELETE

DESC

DISTINCT

ELSE

EMPTY

END

ENTRY

ESCAPE

EXISTS

FALSE

FETCH

FROM

GROUP

HAVING

IN

INDEX

INNER

IS

JOIN

KEY

LEADING

LEFT

LENGTH

LIKE

LOCATE

LOWER

MAX

MEMBER

MIN

MOD

NEW

NOT

NULL

NULLIF

OBJECT

OF

OR

ORDER

OUTER

POSITION

SELECT

SET

SIZE

SOME

SQRT

SUBSTRING

SUM

THEN

TRAILING

TRIM

TRUE

TYPE

UNKNOWN

UPDATE

UPPER

VALUE

WHEN

WHERE

It is not recommended that you use an SQL keyword as an identifier, because the list of keywords may expand to include other reserved SQL words in the future.

Identification Variables

An identification variable is an identifier declared in the FROM clause. Although they can reference identification variables, the SELECT and WHERE clauses cannot declare them. All identification variables must be declared in the FROM clause.

Because it is an identifier, an identification variable has the same naming conventions and restrictions as an identifier, with the exception that an identification variable is case-insensitive. For example, an identification variable cannot be the same as a query language keyword. (See Identifiers for more naming rules.) Also, within a given persistence unit, an identification variable name must not match the name of any entity or abstract schema.

The FROM clause can contain multiple declarations, separated by commas. A declaration can reference another identification variable that has been previously declared (to the left). In the following FROM clause, the variable t references the previously declared variable p:

FROM Player p, IN (p.teams) AS t

Even if it is not used in the WHERE clause, an identification variable’s declaration can affect the results of the query. For example, compare the next two queries. The following query returns all players, whether or not they belong to a team:

SELECT p
FROM Player p

In contrast, because it declares the t identification variable, the next query fetches all players who belong to a team:

SELECT p
FROM Player p, IN (p.teams) AS t

The following query returns the same results as the preceding query, but the WHERE clause makes it easier to read:

SELECT p
FROM Player p
WHERE p.teams IS NOT EMPTY

An identification variable always designates a reference to a single value whose type is that of the expression used in the declaration. There are two kinds of declarations: range variable and collection member.

Range Variable Declarations

To declare an identification variable as an abstract schema type, you specify a range variable declaration. In other words, an identification variable can range over the abstract schema type of an entity. In the following example, an identification variable named p represents the abstract schema named Player:

FROM Player p

A range variable declaration can include the optional AS operator:

FROM Player AS p

To obtain objects, a query usually uses path expressions to navigate through the relationships. But for those objects that cannot be obtained by navigation, you can use a range variable declaration to designate a starting point, or query root.

If the query compares multiple values of the same abstract schema type, the FROM clause must declare multiple identification variables for the abstract schema:

FROM Player p1, Player p2

For an example of such a query, see Comparison Operators.

Collection Member Declarations

In a one-to-many relationship, the multiple side consists of a collection of entities. An identification variable can represent a member of this collection. To access a collection member, the path expression in the variable’s declaration navigates through the relationships in the abstract schema. (For more information on path expressions, see Path Expressions.) Because a path expression can be based on another path expression, the navigation can traverse several relationships. See Traversing Multiple Relationships.

A collection member declaration must include the IN operator but can omit the optional AS operator.

In the following example, the entity represented by the abstract schema named Player has a relationship field called teams. The identification variable called t represents a single member of the teams collection:

FROM Player p, IN (p.teams) t

Joins

The JOIN operator is used to traverse over relationships between entities and is functionally similar to the IN operator.

In the following example, the query joins over the relationship between customers and orders:

SELECT c
FROM Customer c JOIN c.orders o
WHERE c.status = 1 AND o.totalPrice > 10000

The INNER keyword is optional:

SELECT c
FROM Customer c INNER JOIN c.orders o
WHERE c.status = 1 AND o.totalPrice > 10000

These examples are equivalent to the following query, which uses the IN operator:

SELECT c
FROM Customer c, IN (c.orders) o
WHERE c.status = 1 AND o.totalPrice > 10000

You can also join a single-valued relationship:

SELECT t
FROM Team t JOIN t.league l
WHERE l.sport = :sport

A LEFT JOIN or LEFT OUTER JOIN retrieves a set of entities where matching values in the join condition may be absent. The OUTER keyword is optional:

SELECT c.name, o.totalPrice
FROM CustomerOrder o LEFT JOIN o.customer c

A FETCH JOIN is a join operation that returns associated entities as a side effect of running the query. In the following example, the query returns a set of departments and, as a side effect, the associated employees of the departments, even though the employees were not explicitly retrieved by the SELECT clause:

SELECT d
FROM Department d LEFT JOIN FETCH d.employees
WHERE d.deptno = 1

Path Expressions

Path expressions are important constructs in the syntax of the query language for several reasons. First, path expressions define navigation paths through the relationships in the abstract schema. These path definitions affect both the scope and the results of a query. Second, path expressions can appear in any of the main clauses of a query (SELECT, DELETE, HAVING, UPDATE, WHERE, FROM, GROUP BY, ORDER BY). Finally, although much of the query language is a subset of SQL, path expressions are extensions not found in SQL.

Examples of Path Expressions

Here, the WHERE clause contains a single_valued_path_expression; the p is an identification variable, and salary is a persistent field of Player:

SELECT DISTINCT p
FROM Player p
WHERE p.salary BETWEEN :lowerSalary AND :higherSalary

Here, the WHERE clause also contains a single_valued_path_expression; t is an identification variable, league is a single-valued relationship field, and sport is a persistent field of league:

SELECT DISTINCT p
FROM Player p, IN (p.teams) t
WHERE t.league.sport = :sport

Here, the WHERE clause contains a collection_valued_path_expression; p is an identification variable, and teams designates a collection-valued relationship field:

SELECT DISTINCT p
FROM Player p
WHERE p.teams IS EMPTY

Expression Types

The type of a path expression is the type of the object represented by the ending element, which can be one of the following:

Persistent field
Single-valued relationship field
Collection-valued relationship field

For example, the type of the expression p.salary is double because the terminating persistent field (salary) is a double.

In the expression p.teams, the terminating element is a collection-valued relationship field (teams). This expression’s type is a collection of the abstract schema type named Team. Because Team is the abstract schema name for the Team entity, this type maps to the entity. For more information on the type mapping of abstract schemas, see Return Types.

Navigation

A path expression enables the query to navigate to related entities. The terminating elements of an expression determine whether navigation is allowed. If an expression contains a single-valued relationship field, the navigation can continue to an object that is related to the field. However, an expression cannot navigate beyond a persistent field or a collection-valued relationship field. For example, the expression p.teams.league.sport is illegal because teams is a collection-valued relationship field. To reach the sport field, the FROM clause could define an identification variable named t for the teams field:

FROM Player AS p, IN (p.teams) t
WHERE t.league.sport = 'soccer'

WHERE Clause

The WHERE clause specifies a conditional expression that limits the values returned by the query. The query returns all corresponding values in the data store for which the conditional expression is TRUE. Although usually specified, the WHERE clause is optional. If the WHERE clause is omitted, the query returns all values. The high-level syntax for the WHERE clause is as follows:

where_clause ::= WHERE conditional_expression

Literals

There are four kinds of literals: string, numeric, Boolean, and enum.

String literals: A string literal is enclosed in single quotes:
```
'Duke'
```
If a string literal contains a single quote, you indicate the quote by using two single quotes:
```
'Duke''s'
```
Like a Java String, a string literal in the query language uses the Unicode character encoding.
Numeric literals: There are two types of numeric literals: exact and approximate.
- An exact numeric literal is a numeric value without a decimal point, such as 65, –233, and +12. Using the Java integer syntax, exact numeric literals support numbers in the range of a Java long.
- An approximate numeric literal is a numeric value in scientific notation, such as 57., –85.7, and +2.1. Using the syntax of the Java floating-point literal, approximate numeric literals support numbers in the range of a Java double.
Boolean literals: A Boolean literal is either TRUE or FALSE. These keywords are not case-sensitive.
Enum literals: The Jakarta Persistence query language supports the use of enum literals using the Java enum literal syntax. The enum class name must be specified as a fully qualified class name:
```
SELECT e
FROM Employee e
WHERE e.status = com.example.EmployeeStatus.FULL_TIME
```

Input Parameters

An input parameter can be either a named parameter or a positional parameter.

A named input parameter is designated by a colon (:) followed by a string; for example, :name.
A positional input parameter is designated by a question mark (?) followed by an integer. For example, the first input parameter is ?1, the second is ?2, and so forth.

The following rules apply to input parameters.

They can be used only in a WHERE or HAVING clause.
Positional parameters must be numbered, starting with the integer 1.
Named parameters and positional parameters may not be mixed in a single query.
Named parameters are case-sensitive.

Conditional Expressions

A WHERE clause consists of a conditional expression, which is evaluated from left to right within a precedence level. You can change the order of evaluation by using parentheses.

Operators and Their Precedence

Query Language Order Precedence lists the query language operators in order of decreasing precedence.

Query Language Order Precedence
Type	Precedence Order
Navigation	`.` (a period)
Arithmetic	`+ –` (unary) `* /` (multiplication and division) `+ –` (addition and subtraction)
Comparison	`=` `>` `>=` `<` `⇐` `<>` (not equal) `[NOT] BETWEEN` `[NOT] LIKE` `[NOT] IN` `IS [NOT] NULL` `IS [NOT] EMPTY` `[NOT] MEMBER OF`
Logical	`NOT` `AND` `OR`

BETWEEN Expressions

A BETWEEN expression determines whether an arithmetic expression falls within a range of values.

These two expressions are equivalent:

p.age BETWEEN 15 AND 19
p.age >= 15 AND p.age <= 19

The following two expressions also are equivalent:

p.age NOT BETWEEN 15 AND 19
p.age < 15 OR p.age > 19

If an arithmetic expression has a NULL value, the value of the BETWEEN expression is unknown.

IN Expressions

An IN expression determines whether a string belongs to a set of string literals or whether a number belongs to a set of number values.

The path expression must have a string or numeric value. If the path expression has a NULL value, the value of the IN expression is unknown.

In the following example, the expression is TRUE if the country is UK , but FALSE if the country is Peru:

o.country IN ('UK', 'US', 'France')

You may also use input parameters:

o.country IN ('UK', 'US', 'France', :country)

LIKE Expressions

A LIKE expression determines whether a wildcard pattern matches a string.

The path expression must have a string or numeric value. If this value is NULL, the value of the LIKE expression is unknown. The pattern value is a string literal that can contain wildcard characters. The underscore (_) wildcard character represents any single character. The percent (%) wildcard character represents zero or more characters. The ESCAPE clause specifies an escape character for the wildcard characters in the pattern value. LIKE Expression Examples shows some sample LIKE expressions.

LIKE Expression Examples
Expression	TRUE	FALSE
`address.phone LIKE '12%3'`	`'123'` `'12993'`	`'1234'`
`asentence.word LIKE 'l_se'`	`'lose'`	`'loose'`
`aword.underscored LIKE '\_%' ESCAPE '\'`	`'_foo'`	`'bar'`
`address.phone NOT LIKE '12%3'`	`'1234'`	`'123'` `'12993'`

NULL Comparison Expressions

A NULL comparison expression tests whether a single-valued path expression or an input parameter has a NULL value. Usually, the NULL comparison expression is used to test whether a single-valued relationship has been set:

SELECT t
FROM Team t
WHERE t.league IS NULL

This query selects all teams where the league relationship is not set. Note that the following query is not equivalent:

SELECT t
FROM Team t
WHERE t.league = NULL

The comparison with NULL using the equals operator (=) always returns an unknown value, even if the relationship is not set. The second query will always return an empty result.

Empty Collection Comparison Expressions

The IS [NOT] EMPTY comparison expression tests whether a collection-valued path expression has no elements. In other words, it tests whether a collection-valued relationship has been set.

If the collection-valued path expression is NULL, the empty collection comparison expression has a NULL value.

Here is an example that finds all orders that do not have any line items:

SELECT o
FROM CustomerOrder o
WHERE o.lineItems IS EMPTY

Collection Member Expressions

The [NOT] MEMBER [OF] collection member expression determines whether a value is a member of a collection. The value and the collection members must have the same type.

If either the collection-valued or single-valued path expression is unknown, the collection member expression is unknown. If the collection-valued path expression designates an empty collection, the collection member expression is FALSE.

The OF keyword is optional.

The following example tests whether a line item is part of an order:

SELECT o
FROM CustomerOrder o
WHERE :lineItem MEMBER OF o.lineItems

Subqueries

Subqueries may be used in the WHERE or HAVING clause of a query. Subqueries must be surrounded by parentheses.

The following example finds all customers who have placed more than ten orders:

SELECT c
FROM Customer c
WHERE (SELECT COUNT(o) FROM c.orders o) > 10

Subqueries may contain EXISTS, ALL, and ANY expressions.

EXISTS expressions: The [NOT] EXISTS expression is used with a subquery and is true only if the result of the subquery consists of one or more values; otherwise, it is false.

The following example finds all employees whose spouses are also employees:
```
SELECT DISTINCT emp
FROM Employee emp
WHERE EXISTS (
    SELECT spouseEmp
    FROM Employee spouseEmp
    WHERE spouseEmp = emp.spouse)
```
ALL and ANY expressions: The ALL expression is used with a subquery and is true if all the values returned by the subquery are true or if the subquery is empty.

The ANY expression is used with a subquery and is true if some of the values returned by the subquery are true. An ANY expression is false if the subquery result is empty or if all the values returned are false. The SOME keyword is synonymous with ANY.

The ALL and ANY expressions are used with the =, <, ⇐, >, >=, and <> comparison operators.

The following example finds all employees whose salaries are higher than the salaries of the managers in the employee’s department:
```
SELECT emp
FROM Employee emp
WHERE emp.salary > ALL (
    SELECT m.salary
    FROM Manager m
    WHERE m.department = emp.department)
```

Functional Expressions

The query language includes several string, arithmetic, and date/time functions that may be used in the SELECT, WHERE, or HAVING clause of a query. The functions are listed in String Expressions, Arithmetic Expressions and Date/Time Expressions.

In String Expressions, the start and length arguments are of type int and designate positions in the String argument. The first position in a string is designated by 1.

String Expressions
Function Syntax	Return Type
`CONCAT(String, String)`	`String`
`LENGTH(String)`	`int`
`LOCATE(String, String [, start])`	`int`
`SUBSTRING(String, start, length)`	`String`
`TRIM([[LEADING\|TRAILING\|BOTH] char FROM] String)`	`String`
`LOWER(String)`	`String`
`UPPER(String)`	`String`

The CONCAT function concatenates two strings into one string.

The LENGTH function returns the length of a string in characters as an integer.

The LOCATE function returns the position of a given string within a string. This function returns the first position at which the string was found as an integer. The first argument is the string to be located. The second argument is the string to be searched. The optional third argument is an integer that represents the starting string position. By default, LOCATE starts at the beginning of the string. The starting position of a string is 1. If the string cannot be located, LOCATE returns 0.

The SUBSTRING function returns a string that is a substring of the first argument based on the starting position and length.

The TRIM function trims the specified character from the beginning and/or end of a string. If no character is specified, TRIM removes spaces or blanks from the string. If the optional LEADING specification is used, TRIM removes only the leading characters from the string. If the optional TRAILING specification is used, TRIM removes only the trailing characters from the string. The default is BOTH, which removes the leading and trailing characters from the string.

The LOWER and UPPER functions convert a string to lowercase or uppercase, respectively.

In Arithmetic Expressions, the number argument can be an int, a float, or a double.

Arithmetic Expressions
Function Syntax	Return Type
`ABS(number)`	`int`, `float`, or `double`
`MOD(int, int)`	`int`
`SQRT(double)`	`double`
`SIZE(Collection)`	`int`

The ABS function takes a numeric expression and returns a number of the same type as the argument.

The MOD function returns the remainder of the first argument divided by the second.

The SQRT function returns the square root of a number.

The SIZE function returns an integer of the number of elements in the given collection.

In Date/Time Expressions, the date/time functions return the date, time, or timestamp on the database server.

Date/Time Expressions
Function Syntax	Return Type
`CURRENT_DATE`	`java.sql.Date`
`CURRENT_TIME`	`java.sql.Time`
`CURRENT_TIMESTAMP`	`java.sql.Timestamp`

Case Expressions

Case expressions change based on a condition, similar to the case keyword of the Java programming language. The CASE keyword indicates the start of a case expression, and the expression is terminated by the END keyword. The WHEN and THEN keywords define individual conditions, and the ELSE keyword defines the default condition should none of the other conditions be satisfied.

The following query selects the name of a person and a conditional string, depending on the subtype of the Person entity. If the subtype is Student, the string kid is returned. If the subtype is Guardian or Staff, the string adult is returned. If the entity is some other subtype of Person, the string unknown is returned:

SELECT p.name
CASE TYPE(p)
    WHEN Student THEN 'kid'
    WHEN Guardian THEN 'adult'
    WHEN Staff THEN 'adult'
    ELSE 'unknown'
END
FROM Person p

The following query sets a discount for various types of customers. Gold-level customers get a 20% discount, silver-level customers get a 15% discount, bronze-level customers get a 10% discount, and everyone else gets a 5% discount:

UPDATE Customer c
SET c.discount =
    CASE c.level
        WHEN 'Gold' THEN 20
        WHEN 'SILVER' THEN 15
        WHEN 'Bronze' THEN 10
        ELSE 5
    END

NULL Values

If the target of a reference is not in the persistent store, the target is NULL. For conditional expressions containing NULL, the query language uses the semantics defined by SQL92. Briefly, these semantics are as follows.

If a comparison or arithmetic operation has an unknown value, it yields a NULL value.
Two NULL values are not equal. Comparing two NULL values yields an unknown value.
The IS NULL test converts a NULL persistent field or a single-valued relationship field to TRUE. The IS NOT NULL test converts them to FALSE.
Boolean operators and conditional tests use the three-valued logic defined by AND Operator Logic and OR Operator Logic. (In these tables, T stands for TRUE, F for FALSE, and U for unknown.)

AND Operator Logic
AND	T	F	U
T	T	F	U
F	F	F	F
U	U	F	U

OR Operator Logic
OR	T	F	U
T	T	T	T
F	T	F	U
U	T	U	U

Equality Semantics

In the query language, only values of the same type can be compared. However, this rule has one exception: Exact and approximate numeric values can be compared. In such a comparison, the required type conversion adheres to the rules of Java numeric promotion.

The query language treats compared values as if they were Java types and not as if they represented types in the underlying data store. For example, a persistent field that could be either an integer or a NULL must be designated as an Integer object and not as an int primitive. This designation is required because a Java object can be NULL, but a primitive cannot.

Two strings are equal only if they contain the same sequence of characters. Trailing blanks are significant; for example, the strings 'abc' and 'abc ' are not equal.

Two entities of the same abstract schema type are equal only if their primary keys have the same value. NOT Operator Logic shows the operator logic of a negation, and Conditional Test shows the truth values of conditional tests.

NOT Operator Logic
NOT Value	Value
T	F
F	T
U	U

Conditional Test
Conditional Test	T	F	U
Expression `IS TRUE`	T	F	F
Expression `IS FALSE`	F	T	F
Expression is unknown	F	F	T

SELECT Clause

The SELECT clause defines the types of the objects or values returned by the query.

Return Types

The return type of the SELECT clause is defined by the result types of the select expressions contained within it. If multiple expressions are used, the result of the query is an Object[], and the elements in the array correspond to the order of the expressions in the SELECT clause and in type to the result types of each expression.

A SELECT clause cannot specify a collection-valued expression. For example, the SELECT clause p.teams is invalid because teams is a collection. However, the clause in the following query is valid because t is a single element of the teams collection:

SELECT t
FROM Player p, IN (p.teams) t

The following query is an example of a query with multiple expressions in the SELECT clause:

SELECT c.name, c.country.name
FROM customer c
WHERE c.lastname = 'Coss' AND c.firstname = 'Roxane'

This query returns a list of Object[] elements; the first array element is a string denoting the customer name, and the second array element is a string denoting the name of the customer’s country.

The result of a query may be the result of an aggregate function, listed in Aggregate Functions in Select Statements.

Aggregate Functions in Select Statements
Name	Return Type	Description
`AVG`	`Double`	Returns the mean average of the fields
`COUNT`	`Long`	Returns the total number of results
`MAX`	The type of the field	Returns the highest value in the result set
`MIN`	The type of the field	Returns the lowest value in the result set
`SUM`	`Long` (for integral fields) `Double` (for floating-point fields) `BigInteger` (for `BigInteger` fields) `BigDecimal` (for `BigDecimal` fields)	Returns the sum of all the values in the result set

For select method queries with an aggregate function (AVG, COUNT, MAX, MIN, or SUM) in the SELECT clause, the following rules apply.

The AVG, MAX, MIN, and SUM functions return null if there are no values to which the function can be applied.
The COUNT function returns 0 if there are no values to which the function can be applied.

The following example returns the average order quantity:

SELECT AVG(o.quantity)
FROM CustomerOrder o

The following example returns the total cost of the items ordered by Roxane Coss:

SELECT SUM(l.price)
FROM CustomerOrder o JOIN o.lineItems l JOIN o.customer c
WHERE c.lastname = 'Coss' AND c.firstname = 'Roxane'

The following example returns the total number of orders:

SELECT COUNT(o)
FROM CustomerOrder o

The following example returns the total number of items that have prices in Hal Incandenza’s order:

SELECT COUNT(l.price)
FROM CustomerOrder o JOIN o.lineItems l JOIN o.customer c
WHERE c.lastname = 'Incandenza' AND c.firstname = 'Hal'

The DISTINCT Keyword

The DISTINCT keyword eliminates duplicate return values. If a query returns a java.util.Collection, which allows duplicates, you must specify the DISTINCT keyword to eliminate duplicates.

Constructor Expressions

Constructor expressions allow you to return Java instances that store a query result element instead of an Object[].

The following query creates a CustomerDetail instance per Customer matching the WHERE clause. A CustomerDetail stores the customer name and customer’s country name.So the query returns a List of CustomerDetail instances:

SELECT NEW com.example.CustomerDetail(c.name, c.country.name)
FROM customer c
WHERE c.lastname = 'Coss' AND c.firstname = 'Roxane'

ORDER BY Clause

As its name suggests, the ORDER BY clause orders the values or objects returned by the query.

If the ORDER BY clause contains multiple elements, the left-to-right sequence of the elements determines the high-to-low precedence.

The ASC keyword specifies ascending order, the default, and the DESC keyword indicates descending order.

When using the ORDER BY clause, the SELECT clause must return an orderable set of objects or values. You cannot order the values or objects for values or objects not returned by the SELECT clause. For example, the following query is valid because the ORDER BY clause uses the objects returned by the SELECT clause:

SELECT o
FROM Customer c JOIN c.orders o JOIN c.address a
WHERE a.state = 'CA'
ORDER BY o.quantity, o.totalcost

The following example is not valid, because the ORDER BY clause uses a value not returned by the SELECT clause:

SELECT p.product_name
FROM CustomerOrder o, IN(o.lineItems) l JOIN o.customer c
WHERE c.lastname = 'Faehmel' AND c.firstname = 'Robert'
ORDER BY o.quantity

GROUP BY and HAVING Clauses

The GROUP BY clause allows you to group values according to a set of properties.

The following query groups the customers by their country and returns the number of customers per country:

SELECT c.country, COUNT(c)
FROM Customer c GROUP BY c.country

The HAVING clause is used with the GROUP BY clause to further restrict the returned result of a query.

The following query groups orders by the status of their customer and returns the customer status plus the average totalPrice for all orders where the corresponding customers have the same status. In addition, it considers only customers with status 1, 2, or 3, so orders of other customers are not taken into account:

SELECT c.status, AVG(o.totalPrice)
FROM CustomerOrder o JOIN o.customer c
GROUP BY c.status HAVING c.status IN (1, 2, 3)