use of org.springframework.data.mongodb.core.SimpleMongoDbFactory in project spring-data-mongodb by spring-projects.
the class MappingMongoConverterBenchmark method setUp.
@Setup
public void setUp() throws Exception {
client = new MongoClient(new ServerAddress());
this.mappingContext = new MongoMappingContext();
this.mappingContext.setInitialEntitySet(Collections.singleton(Customer.class));
this.mappingContext.afterPropertiesSet();
DbRefResolver dbRefResolver = new DefaultDbRefResolver(new SimpleMongoDbFactory(client, DB_NAME));
this.converter = new MappingMongoConverter(dbRefResolver, mappingContext);
this.converter.setCustomConversions(new MongoCustomConversions(Collections.emptyList()));
this.converter.afterPropertiesSet();
// just a flat document
this.documentWith2Properties = new Document("firstname", "Dave").append("lastname", "Matthews");
// document with a nested one
Document address = new Document("zipCode", "ABCDE").append("city", "Some Place");
this.documentWith2PropertiesAnd1Nested = //
new Document("firstname", "Dave").append("lastname", //
"Matthews").append("address", address);
// object equivalent of documentWith2PropertiesAnd1Nested
this.objectWith2PropertiesAnd1Nested = new Customer("Dave", "Matthews", new Address("zipCode", "City"));
// a bit more challenging object with list & map conversion.
objectWithFlatAndComplexPropertiesPlusListAndMap = new SlightlyMoreComplexObject();
objectWithFlatAndComplexPropertiesPlusListAndMap.id = UUID.randomUUID().toString();
objectWithFlatAndComplexPropertiesPlusListAndMap.addressList = Arrays.asList(new Address("zip-1", "city-1"), new Address("zip-2", "city-2"));
objectWithFlatAndComplexPropertiesPlusListAndMap.customer = objectWith2PropertiesAnd1Nested;
objectWithFlatAndComplexPropertiesPlusListAndMap.customerMap = new LinkedHashMap<>();
objectWithFlatAndComplexPropertiesPlusListAndMap.customerMap.put("dave", objectWith2PropertiesAnd1Nested);
objectWithFlatAndComplexPropertiesPlusListAndMap.customerMap.put("deborah", new Customer("Deborah Anne", "Dyer", new Address("?", "london")));
objectWithFlatAndComplexPropertiesPlusListAndMap.customerMap.put("eddie", new Customer("Eddie", "Vedder", new Address("??", "Seattle")));
objectWithFlatAndComplexPropertiesPlusListAndMap.intOne = Integer.MIN_VALUE;
objectWithFlatAndComplexPropertiesPlusListAndMap.intTwo = Integer.MAX_VALUE;
objectWithFlatAndComplexPropertiesPlusListAndMap.location = new Point(-33.865143, 151.209900);
objectWithFlatAndComplexPropertiesPlusListAndMap.renamedField = "supercalifragilisticexpialidocious";
objectWithFlatAndComplexPropertiesPlusListAndMap.stringOne = "¯\\_(ツ)_/¯";
objectWithFlatAndComplexPropertiesPlusListAndMap.stringTwo = " (╯°□°)╯︵ ┻━┻";
// JSON equivalent of objectWithFlatAndComplexPropertiesPlusListAndMap
documentWithFlatAndComplexPropertiesPlusListAndMap = Document.parse("{ \"_id\" : \"517f6aee-e9e0-44f0-88ed-f3694a019f27\", \"intOne\" : -2147483648, \"intTwo\" : 2147483647, \"stringOne\" : \"¯\\\\_(ツ)_/¯\", \"stringTwo\" : \" (╯°□°)╯︵ ┻━┻\", \"explicit-field-name\" : \"supercalifragilisticexpialidocious\", \"location\" : { \"x\" : -33.865143, \"y\" : 151.2099 }, \"objectWith2PropertiesAnd1Nested\" : { \"firstname\" : \"Dave\", \"lastname\" : \"Matthews\", \"address\" : { \"zipCode\" : \"zipCode\", \"city\" : \"City\" } }, \"addressList\" : [{ \"zipCode\" : \"zip-1\", \"city\" : \"city-1\" }, { \"zipCode\" : \"zip-2\", \"city\" : \"city-2\" }], \"customerMap\" : { \"dave\" : { \"firstname\" : \"Dave\", \"lastname\" : \"Matthews\", \"address\" : { \"zipCode\" : \"zipCode\", \"city\" : \"City\" } }, \"deborah\" : { \"firstname\" : \"Deborah Anne\", \"lastname\" : \"Dyer\", \"address\" : { \"zipCode\" : \"?\", \"city\" : \"london\" } }, \"eddie\" : { \"firstname\" : \"Eddie\", \"lastname\" : \"Vedder\", \"address\" : { \"zipCode\" : \"??\", \"city\" : \"Seattle\" } } }, \"_class\" : \"org.springframework.data.mongodb.core.convert.MappingMongoConverterBenchmark$SlightlyMoreComplexObject\" }");
}
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