Library for building and running advanced and dynamic queries using JPA in Spring Boot.
- Queries: the library supports two modes for building advanced and dynamic queries:
- Mode 1: Via
Map<String, String>
, to support GET endpoints with query params. - Mode 2: Via an object, to support POST endpoints that expect query parameters in the body (from 2.0.0 version)
- Mode 1: Via
- Projection: for both modes, the library allows you to extract only a subselection of fields from the query (from 3.2.0 version)
Through jpa-search-helper your controller* will be able to receive requests like this:
Mode 1:
curl -X GET \
'https://myexampledomain.com/persons?
firstName=Biagio
&lastName_startsWith=Toz
&birthDate_gte=19910101
&country_in=IT,FR,DE
&address_eq=Via Roma 1,Via Milano/,1,20 West/,34th Street
&company.name_in=Microsoft,Apple,Google
&company.employees_between=500,5000'
Mode 2:
curl -X POST -H "Content-type: application/json" -d '{
"filter" : {
"operator": "and", // the first filter must contain a root operator: AND, OR or NOT
"filters" : [
{
"operator": "eq",
"key": "firstName",
"value": "Biagio"
},
{
"operator": "or",
"filters": [
{
"operator": "startsWith",
"key": "lastName",
"value": "Toz",
"options": {
"ignoreCase": true
}
},
{
"operator": "endsWith",
"key": "lastName",
"value": "ZZI",
"options": {
"ignoreCase": true,
"trim" : true
}
}
]
},
{
"operator": "in",
"key": "company.name",
"values": ["Microsoft", "Apple", "Google"]
},
{
"operator": "or",
"filters": [
{
"operator": "gte",
"key": "birthDate",
"value": "19910101"
},
{
"operator": "lte",
"key": "birthDate",
"value": "20010101"
}
]
},
{
"operator": "between",
"key" : "company.employees",
"values": [500, 5000],
"options": {
"negate": true
}
}
]
},
"options": {
"pageSize": 10,
"pageOffset": 0,
"sortKey": "birthDate",
"sortDesc": false
}
}' 'https://myexampledomain.com/persons'
..how you do it? Read this readme!
* Please note: the library does not expose controllers/HTTP Endpoints, but only offers the repository that will build and execute the queries.
- Java 17 or later
- Spring Boot 3.2.x or later
JPA Search Helper | Spring Boot | Java |
---|---|---|
[v0.0.1 - v2.1.1] | 3.2.x | [17 - 22] |
[v3.0.0 - latest] | 3.3.x | [17 - 22] |
<dependency>
<groupId>app.tozzi</groupId>
<artifactId>jpa-search-helper</artifactId>
<version>3.2.1</version>
</dependency>
implementation 'app.tozzi:jpa-search-helper:3.2.1
Start by applying the @Searchable
annotation to the fields in your Domain Model, or alternatively your JPA entity, that you want to make available for search.
If you have fields that you want to make searchable within other objects then annotate these with @NestedSearchable
.
@Data
public class Person {
@Searchable
private String firstName;
@Searchable
private String lastName;
@Searchable(entityFieldKey = "dateOfBirth")
private Date birthDate;
@Searchable
private String country;
@Searchable
private String fillerOne;
@Searchable
private String fillerTwo;
@NestedSearchable
private Company company;
@Data
public static class Company {
@Searchable(entityFieldKey= "companyEntity.name")
private String name;
@Searchable(entityFieldKey= "companyEntity.employeesCount")
private int employees;
}
}
The annotation allows you to specify:
-
Core properties:
-
entityFieldKey
: the name of the field defined on the entity bean (not to be specified if using the annotation on the entity bean). If not specified the key will be the field name. -
targetType
: the managed object type by entity. If not specified the librariy tries to obtain it based on field type (es. Integer field without target type definition will beINTEGER
). If there is no type compatible with those managed, it will be managed as a string. Managed types:STRING
,INTEGER
,DOUBLE
,FLOAT
,LONG
,BIGDECIMAL
,BOOLEAN
,DATE
,LOCALDATE
,LOCALDATETIME
,LOCALTIME
,OFFSETDATETIME
,OFFSETTIME
,ZONEDDATETIME
.
-
-
Validation properties:
datePattern
: only forDATE
,LOCALDATE
,LOCALDATETIME
,LOCALTIME
,OFFSETDATETIME
,OFFSETTIME
,ZONEDDATETIME
target types. Defines the date pattern to use.maxSize, minSize
: maximum/minimum length of the value.maxDigits, minDigits
: only for numeric types. Maximum/minimum number of digits.regexPattern
: regex pattern.decimalFormat
: only for decimal numeric types. Default#.##
-
Other:
sortable
: if false, the field can be used by search but cannot be used for sorting. Default: true.trim
: apply trim.tags
: useful if the Domain Model field can correspond to multiple entity fields (the example is available further down).allowedFilters
: exclusively allowed filters.notAllowedFilters
: not allowed filters.likeFilters
: allowed like filters (contains, startsWith, endsWith). Default: true.
Continuing the example, our entity classes:
@Entity
@Data
public class PersonEntity {
@Id
private Long id;
@Column(name = "FIRST_NAME")
private String firstName;
@Column(name = "LAST_NAME")
private String lastName;
@Column(name = "BIRTH_DATE")
private Date dateOfBirth;
@Column(name = "COUNTRY")
private String country;
@Column(name = "FIL_ONE")
private String fillerOne;
@Column(name = "FIL_TWO")
private String fillerTwo;
@OneToOne
private CompanyEntity companyEntity;
}
@Entity
@Data
public class CompanyEntity {
@Id
private Long id;
@Column(name = "NAME")
private String name;
@Column(name = "COUNT")
private Integer employeesCount;
}
Your Spring JPA repository must extend JPASearchRepository<YourEntityClass>
.
@Repository
public interface PersonRepository extends JpaRepository<PersonEntity, Long>, JPASearchRepository<PersonEntity> {
}
In your manager, or in your service, or wherever you want to use the repository:
Mode 1: define a map <filter_key#options, value>:
// ...
@Autowired
private PersonRepository personRepository;
public List<Person> advancedSearch() {
// Pure example, in real use case it is expected that these filters can be passed directly by the controller
Map<String, String> filters = new HashMap<>();
filters.put("firstName_eq", "Biagio");
filters.put("lastName_startsWith#i", "Toz"); // ignore case
filters.put("birthDate_gte", "19910101");
filters.put("country_in", "IT,FR,DE");
filters.put("company.name_eq#n", "Bad Company"); // negation
filters.put("company.employees_between", "500,5000");
filters.put("fillerOne_null#n", "true"); // not null
filters.put("fillerTwo_empty", "true"); // empty
// Without pagination
List<PersonEntity> fullSearch = personRepository.findAll(filters, Person.class);
filters.put("birthDate_sort" : "ASC"); // sorting key and sorting order
filters.put("_limit", "10"); // page size
filters.put("_offset", "0"); // page offset
// With pagination
Page<PersonEntity> sortedAndPaginatedSearch = personRepository.findAllWithPaginationAndSorting(filters, Person.class);
// ...
}
// ...
Mode 2: instead of a map, you will need to use JPASearchInput
, shown here, for simplicity, in JSON format.
{
"filter" : {
"operator": "and", // the first filter must contain a root operator: AND, OR or NOT
"filters" : [
{
"operator": "eq",
"key": "firstName",
"value": "Biagio"
},
{
"operator": "or",
"filters": [
{
"operator": "startsWith",
"key": "lastName",
"value": "Toz",
"options": {
"ignoreCase": true
}
},
{
"operator": "endsWith",
"key": "lastName",
"value": "ZZI",
"options": {
"ignoreCase": true,
"trim" : true
}
}
]
},
{
"operator": "in",
"key": "company.name",
"values": ["Microsoft", "Apple", "Google"]
},
{
"operator": "or",
"filters": [
{
"operator": "gte",
"key": "birthDate",
"value": "19910101"
},
{
"operator": "lte",
"key": "birthDate",
"value": "20010101"
}
]
},
{
"operator": "empty",
"key": "fillerOne",
"options": {
"negate": true
}
},
{
"operator": "between",
"key" : "company.employees",
"values": [500, 5000],
"options": {
"negate": true
}
}
]
},
"options": {
"pageSize": 10,
"pageOffset": 0,
"sortKey": "birthDate",
"sortDesc": false
}
}
Through Mode 2 it is possible to manage complex filters with AND
, OR
and NOT
(see later).
- If a field does not exist, is not searchable or is not sortable, you will receive an
InvalidFieldException
. - If the value of a field does not meet the requirements you will receive an
InvalidValueException
. - Other cases:
JPASearchException
Filter name | Library Key | Supported modes |
---|---|---|
AND | and | 1, 2 |
OR | or | 2 |
NOT | not | 2 |
Through Mode 1, all filters compose exclusively an AND
search.
To use the other operators, OR
and NOT
, you must use Mode 2
Filter name | Library Key | SQL | Supported modes | Value required |
---|---|---|---|---|
Equals | eq | sql_col = val | 1,2 | yes |
Contains | contains | sql_col LIKE '%val%' | 1,2 | yes |
In | in | sql_col IN (val1, val2, ..., valN) | 1,2 | yes |
Starts With | startsWith | sql_col LIKE 'val%' | 1,2 | yes |
Ends With | endsWith | sql_col LIKE '%val' | 1,2 | yes |
Greater Than | gt | sql_col > val | 1,2 | yes |
Greater Than or Equal | gte | sql_col >= val | 1,2 | yes |
Less Than | lt | sql_col < val | 1,2 | yes |
Less Than or Equal | lte | sql_col <= val | 1,2 | yes |
Between | between | sql_col BETWEEN val1 AND val2 | 1,2 | yes |
Null | null | sql_col IS NULL | 1,2 | no |
Empty | empty | sql_collection_col IS NULL | 1,2 | no |
Mode 1
Option description | Library Key |
---|---|
Ignore case | #i |
Negation | #n |
Trim | #t |
The option keys must be appended to the filter; e.g. ?firstName_eq#i=Biagio or ?firstName_eq#i#n=Biagio
Mode 2
Option description | Library Key (Java attributes) |
---|---|
Ignore case | ignoreCase |
Negation | negate |
Trim | trim |
For each filter it is possible to define options
{
// ...
{
"operator": "eq",
"key": "firstName",
"value": "Biagio",
"options": {
"ignoreCase": true,
"trim": false,
"negate": true
}
}
// ...
}
Java object:
@Data
public static class JPASearchFilterOptions {
private boolean ignoreCase;
private boolean trim;
private boolean negate;
}
Filter name | Key | Fixed values |
---|---|---|
Limit (page size) | limit | |
Offset (page number) | offset | |
Sort | sort | ASC, DESC |
Mode 1: e.g. ?firstName_sort=DESC&_limit=10&_offset=0
Mode 2: value root options
:
{
"filter" : {
// ...
},
"options" : {
"sortKey": "firstName",
"sortDesc": true,
"pageSize": 10,
"pageOffset": 1
}
}
Java object:
@Data
public static class JPASearchOptions {
private String sortKey;
private Boolean sortDesc = false;
private Integer pageSize;
private Integer pageOffset;
private List<String> selections;
}
- Separator for array values:
,
: e.g. ?myField_in=test1,test2 --> values to search for: ["test1", "test2"] - To escape separator:
/,
: e.g. ?myField_in=test1,test2/,test3 --> values to search for: ["test1", "test2,test3"]
Start by applying the @Projectable
annotation to the fields in your Domain Model, or alternatively your JPA entity, that you want to make available for selection.
If you have fields that you want to make selectable within other objects then annotate these with @NestedProjectable
.
@Data
public class Person {
@Searchable
private String firstName;
@Projectable
@Searchable
private String lastName;
@Projectable(entityFieldKey = "dateOfBirth")
@Searchable(entityFieldKey = "dateOfBirth")
private Date birthDate;
@Searchable
private String country;
@Searchable
private String fillerOne;
@Searchable
private String fillerTwo;
@NestedProjectable
@NestedSearchable
private Company company;
@Data
public static class Company {
@Searchable(entityFieldKey= "companyEntity.name")
private String name;
@Projectable(entityFieldKey= "companyEntity.employeesCount")
@Searchable(entityFieldKey= "companyEntity.employeesCount")
private int employees;
}
}
The annotation allows you to specify:
-
Core properties:
entityFieldKey
: the name of the field defined on the entity bean (not to be specified if using the annotation on the entity bean). If not specified the key will be the field name.
Your Spring JPA repository must extend JPAProjectionRepository<YourEntityClass>
.
@Repository
public interface PersonRepository extends JpaRepository<PersonEntity, Long>, JPASearchRepository<PersonEntity>, JPAProjectionRepository<PersonEntity> {
}
In your manager, or in your service, or wherever you want to use the repository:
Mode 1: define (or add to the map used for the Mode 1 search) a map:
- key: selections
- value: the only fields that you want to extract separated by commas
,
// ...
@Autowired
private PersonRepository personRepository;
public List<Person> advancedSearch() {
// Pure example, in real use case it is expected that these filters can be passed directly by the controller
Map<String, String> filters = new HashMap<>();
filters.put("firstName_eq", "Biagio");
filters.put("lastName_startsWith#i", "Toz"); // ignore case
filters.put("birthDate_gte", "19910101");
filters.put("country_in", "IT,FR,DE");
filters.put("company.name_eq#n", "Bad Company"); // negation
filters.put("company.employees_between", "500,5000");
filters.put("fillerOne_null#n", "true"); // not null
filters.put("fillerTwo_empty", "true"); // empty
// Selections
filters.put("selections", "lastName,birthDate,company.employees");
// Without sorting
List<Map<String, Object>> result = personRepository.projection(filters, Person.class, PersonEntity.class);
filters.put("birthDate_sort" : "ASC"); // sorting key and sorting order
// With sorting
List<Map<String, Object>> sortedAndPaginatedSearch = personRepository.projectionWithSorting(filters, Person.class, PersonEntity.class);
// ... convert the list of maps into your model
}
// ...
Mode 2: instead of a map, you will need to use JPASearchInput
, shown here, for simplicity, in JSON format.
{
"filter" : {
"operator": "and", // the first filter must contain a root operator: AND, OR or NOT
"filters" : [
{
"operator": "eq",
"key": "firstName",
"value": "Biagio"
},
{
"operator": "or",
"filters": [
{
"operator": "startsWith",
"key": "lastName",
"value": "Toz",
"options": {
"ignoreCase": true
}
},
{
"operator": "endsWith",
"key": "lastName",
"value": "ZZI",
"options": {
"ignoreCase": true,
"trim" : true
}
}
]
},
{
"operator": "in",
"key": "company.name",
"values": ["Microsoft", "Apple", "Google"]
},
{
"operator": "or",
"filters": [
{
"operator": "gte",
"key": "birthDate",
"value": "19910101"
},
{
"operator": "lte",
"key": "birthDate",
"value": "20010101"
}
]
},
{
"operator": "empty",
"key": "fillerOne",
"options": {
"negate": true
}
},
{
"operator": "between",
"key" : "company.employees",
"values": [500, 5000],
"options": {
"negate": true
}
}
]
},
"options": {
"pageSize": 10,
"pageOffset": 0,
"sortKey": "birthDate",
"sortDesc": false,
"selections" : [
"lastName",
"birthDate",
"company.employees"
]
}
}
For both modes, the projection will return a List<Map<String, Object>> result where the map structure and keys will reflect the entity structure (to be clear toJson(entityList) == toJson(mapList))
Note 1:
Be careful: the default projection forces all Join relationships as LEFT JOIN. If you don't want this behavior, choose to use the repository methods (methods with 'Classic' suffix) that allow you to possibly modify only the relations you want to modify
Note 2:
Projection, regardless of whether you want it or not, will always extract the fields that represent the primary keys of an entity (or related entities)
Note 3:
Pagination is not supported
- If a field does not exist, is not searchable, is not sortable or is not projectable, you will receive an
InvalidFieldException
. - Other cases:
JPASearchException
It is possible to force joins with fetch to allow Hibernate (or your JPA framework) to execute a single query for the relationships defined on the entity. This is only possible without pagination:
// ...
Map<String, JoinFetch> fetches = Map.of("companyEntity", JoinFetch.LEFT);
personRepository.findAll(filters, Person.class, fetches);
// ...
If you have a Domain Model that is the result of the conversion of multiple entities, it is possible to explicitly specify a map (string, string) whose key represents the name of the Domain Model field and the value is the name of the field of the entity to be searched for:
// ...
Map<String, String> entityFieldMap = Map.of("company", "companyEntity.name");
// Without pagination
personRepository.findAll(filters, Person.class, fetches, entityFieldMap);
// With pagination
personRepository.findAllWithPaginationAndSorting(filters, Person.class, entityFieldMap);
// ...
Another special case could be where an object can be repeated within the Domain Model to represent multiple pieces of the entity. The solution for the search:
@Entity
public class CoupleEntity {
@Id
private Long id;
@Column(name = "p1_fn")
private String p1FirstName;
@Column(name = "p1_ln")
private String p1LastName;
@Column(name = "p2_fn")
private String p2FirstName;
@Column(name = "p2_ln")
private String p2LastName;
}
@Data
public class Couple {
@NestedSearchable
private Person p1;
@NestedSearchable
private Person p2;
@Data
public static class Person {
@Searchable(tags = {
@Tag(fieldKey = "p1.firstName", entityFieldKey = "p1FirstName"),
@Tag(fieldKey = "p2.firstName", entityFieldKey = "p2FirstName"),
})
private String firstName;
@Searchable(tags = {
@Tag(fieldKey = "p1.lastName", entityFieldKey = "p1LastName"),
@Tag(fieldKey = "p2.lastName", entityFieldKey = "p2LastName"),
})
private String lastName;
}
}
curl - request GET
- url 'https://www.myexampledomain.com/couples?
p1.firstName_iEq=Romeo
&p2.firstName_iEq=Giulietta'
Please note: this library does not expose any endpoints and therefore no controllers. An example project, exhaustive and complete, is available here.
Controller:
@RestController
@RequestMapping("/persons")
public class PersonController {
@Autowired
private PersonManager personManager;
@GetMapping(produces = MediaType.APPLICATION_JSON_VALUE)
public List<Person> findPersons(@RequestParam Map<String, String> requestParams) {
return personManager.find(requestParams);
}
@GetMapping(path="/projection", produces = MediaType.APPLICATION_JSON_VALUE)
public List<Person> projection(@RequestParam Map<String, String> requestParams) {
return personManager.projection(requestParams);
}
}
Service/Manager bean:
@Service
public class PersonManager {
@Autowired
private PersonRepository personRepository;
public List<Person> find(Map<String, String> filters) {
return personRepository.findAllWithPaginationAndSorting(filters, Person.class).stream().map(this::toModel).toList();
}
public List<Person> projection(Map<String, String> filters) {
return personRepository.projection(filters, Person.class, PersonEntity.class).stream().map(this::toModel).toList();
}
private static Person toModel(PersonEntity personEntity) {
// ...
}
private static Person toModel(Map<String, Object> entityMap) {
// ...
}
}
Curl:
curl - X GET
'http://localhost:8080/persons?
firstName=Biagio
&lastName_startsWith=Toz
&birthDate_gte=19910101
&country_in=IT,FR,DE
&company.name_in=Microsoft,Apple
&company.employees_between=500,5000'
or
curl - X GET
'http://localhost:8080/persons/projection?
firstName=Biagio
&lastName_startsWith=Toz
&birthDate_gte=19910101
&country_in=IT,FR,DE
&company.name_in=Microsoft,Apple
&company.employees_between=500,5000
&selections=firstName,birthDate'
Controller:
@RestController
@RequestMapping("/persons")
@Validated
public class PersonController {
@Autowired
private PersonManager personManager;
@PostMapping(produces = MediaType.APPLICATION_JSON_VALUE, consumes = MediaType.APPLICATION_JSON_VALUE)
public List<Person> findPersons(@Valid @RequestBody JPASearchInput input) {
return personManager.find(input);
}
}
@PostMapping(path="/projection", produces = MediaType.APPLICATION_JSON_VALUE, consumes = MediaType.APPLICATION_JSON_VALUE)
public List<Person> projection(@Valid @RequestBody JPASearchInput input) {
return personManager.projection(input);
}
}
Service/Manager bean:
@Service
public class PersonManager {
@Autowired
private PersonRepository personRepository;
public List<Person> find(JPASearchInput input) {
return personRepository.findAllWithPaginationAndSorting(input, Person.class).stream().map(this::toModel).toList();
}
public List<Person> find(JPASearchInput input) {
return personRepository.projection(input, Person.class, PersonEntity.class).stream().map(this::toModel).toList();
}
private static Person toModel(PersonEntity entity) {
// ...
}
private static Person toModel(Map<String, Object> entityMap) {
// ...
}
}
Curl:
curl -X POST -H "Content-type: application/json" -d '{
"filter" : {
"operator": "and", // the first filter must contain a root operator: AND, OR or NOT
"filters" : [
{
"operator": "eq",
"key": "firstName",
"value": "Biagio"
},
{
"operator": "or",
"filters": [
{
"operator": "startsWith",
"key": "lastName",
"value": "Toz",
"options": {
"ignoreCase": true
}
},
{
"operator": "endsWith",
"key": "lastName",
"value": "ZZI",
"options": {
"ignoreCase": true,
"trim" : true
}
}
]
},
{
"operator": "in",
"key": "company.name",
"values": ["Microsoft", "Apple", "Google"]
},
{
"operator": "or",
"filters": [
{
"operator": "gte",
"key": "birthDate",
"value": "19910101"
},
{
"operator": "lte",
"key": "birthDate",
"value": "20010101"
}
]
},
{
"operator": "between",
"key" : "company.employees",
"values": [500, 5000],
"options": {
"negate": true
}
}
]
},
"options": {
"pageSize": 10,
"pageOffset": 0,
"sortKey": "birthDate",
"sortDesc": false
}
}' 'http://localhost:8080/persons'
or
curl -X POST -H "Content-type: application/json" -d '{
"filter" : {
"operator": "and", // the first filter must contain a root operator: AND, OR or NOT
"filters" : [
{
"operator": "eq",
"key": "firstName",
"value": "Biagio"
},
{
"operator": "or",
"filters": [
{
"operator": "startsWith",
"key": "lastName",
"value": "Toz",
"options": {
"ignoreCase": true
}
},
{
"operator": "endsWith",
"key": "lastName",
"value": "ZZI",
"options": {
"ignoreCase": true,
"trim" : true
}
}
]
},
{
"operator": "in",
"key": "company.name",
"values": ["Microsoft", "Apple", "Google"]
},
{
"operator": "or",
"filters": [
{
"operator": "gte",
"key": "birthDate",
"value": "19910101"
},
{
"operator": "lte",
"key": "birthDate",
"value": "20010101"
}
]
},
{
"operator": "between",
"key" : "company.employees",
"values": [500, 5000],
"options": {
"negate": true
}
}
]
},
"options": {
"sortKey": "birthDate",
"sortDesc": false,
"selections" : [
"birthDate",
"firstName",
"lastName"
]
}
}' 'http://localhost:8080/persons/projection'