convert spark row into nested java object - java

i am new to spark and trying to convert a text file into java object. i am stuck in place where i ran out of ideas on how to convert multiple rows into single java object.
i am reading below sample file using for my learning. in the file below first column is personId.
personId can repeat for multiple rows if same person have multiple phones and/or multiple addresses.
98480|PERSON|TOM|GREER|1982|12|27
98480|PHONE|CELL|732|201|6789
98480|PHONE|HOME|732|123|9876
98480|ADDR|RES|102|JFK BLVD|PISCATAWAY|NJ|08854
98480|ADDR|OFF|211|EXCHANGE PL|JERSEY CITY|NJ|07302
98481|PERSON|LIN|JASSOY|1976|09|15
98481|PHONE|CELL|908|398|3389
98481|PHONE|HOME|917|363|2647
98481|ADDR|RES|111|JOURNAL SQ|JERSEY CITY|NJ|07704
98481|ADDR|OFF|365|DOWNTOWN NEWYORK|NEWYORK CITY|NY|10001
i am converting the above file into 3 dataframes something below
JavaRDD<Row> personRDD = textRDD.map((String s) -> s.split("\\|"))
.filter((a) -> a[1].equalsIgnoreCase("PERSON")).map((v1) -> convertToString(v1))
.map(str -> RowFactory.create(str.split("\\|")));
Dataset<Row> personRow = session.createDataFrame(personRDD,
new StructType().add("personId", DataTypes.StringType).add("type", DataTypes.StringType)
.add("firstName", DataTypes.StringType).add("lastName", DataTypes.StringType)
.add("year", DataTypes.StringType).add("month", DataTypes.StringType)
.add("day", DataTypes.StringType));
JavaRDD<Row> phoneRDD = textRDD.map((String s) -> s.split("\\|")).filter((a) -> a[1].equalsIgnoreCase("PHONE"))
.map((v1) -> convertToString(v1)).map(str -> RowFactory.create(str.split("\\|")));
Dataset<Row> phoneRow = session.createDataFrame(phoneRDD,
new StructType().add("personId", DataTypes.StringType).add("type", DataTypes.StringType)
.add("phoneType", DataTypes.StringType).add("areaCode", DataTypes.StringType)
.add("phoneMiddle", DataTypes.StringType).add("ext", DataTypes.StringType));
JavaRDD<Row> addrRDD = textRDD.map((String s) -> s.split("\\|")).filter((a) -> a[1].equalsIgnoreCase("ADDR"))
.map((v1) -> convertToString(v1)).map(str -> RowFactory.create(str.split("\\|")));
Dataset<Row> addressRow = session.createDataFrame(addrRDD,
new StructType().add("personId", DataTypes.StringType).add("type", DataTypes.StringType)
.add("addrType", DataTypes.StringType).add("addr1", DataTypes.StringType)
.add("addr2", DataTypes.StringType).add("city", DataTypes.StringType)
.add("state", DataTypes.StringType).add("zipCode", DataTypes.StringType));
now i have 3 dataframes, where in i am joining based on personid.
Dataset<Row> joinedRow = personRow.join(phoneRow, personRow.col("personId").equalTo(phoneRow.col("personId")))
.join(addressRow, personRow.col("personId").equalTo(addressRow.col("personId")));
ouput looks something like this
+--------+------+---------+--------+----+-----+---+--------+-----+---------+--------+-----------+----+--------+----+--------+-----+----------------+------------+-----+-------+
|personId| type|firstName|lastName|year|month|day|personId| type|phoneType|areaCode|phoneMiddle| ext|personId|type|addrType|addr1| addr2| city|state|zipCode|
+--------+------+---------+--------+----+-----+---+--------+-----+---------+--------+-----------+----+--------+----+--------+-----+----------------+------------+-----+-------+
| 98481|PERSON| LIN| JASSOY|1976| 09| 15| 98481|PHONE| CELL| 908| 398|3389| 98481|ADDR| RES| 111| JOURNAL SQ| JERSEY CITY| NJ| 07704|
| 98481|PERSON| LIN| JASSOY|1976| 09| 15| 98481|PHONE| CELL| 908| 398|3389| 98481|ADDR| OFF| 365|DOWNTOWN NEWYORK|NEWYORK CITY| NY| 10001|
| 98481|PERSON| LIN| JASSOY|1976| 09| 15| 98481|PHONE| HOME| 917| 363|2647| 98481|ADDR| RES| 111| JOURNAL SQ| JERSEY CITY| NJ| 07704|
| 98481|PERSON| LIN| JASSOY|1976| 09| 15| 98481|PHONE| HOME| 917| 363|2647| 98481|ADDR| OFF| 365|DOWNTOWN NEWYORK|NEWYORK CITY| NY| 10001|
| 98480|PERSON| TOM| GREER|1982| 12| 27| 98480|PHONE| CELL| 732| 201|6789| 98480|ADDR| RES| 102| JFK BLVD| PISCATAWAY| NJ| 08854|
| 98480|PERSON| TOM| GREER|1982| 12| 27| 98480|PHONE| CELL| 732| 201|6789| 98480|ADDR| OFF| 211| EXCHANGE PL| JERSEY CITY| NJ| 07302|
| 98480|PERSON| TOM| GREER|1982| 12| 27| 98480|PHONE| HOME| 732| 123|9876| 98480|ADDR| RES| 102| JFK BLVD| PISCATAWAY| NJ| 08854|
| 98480|PERSON| TOM| GREER|1982| 12| 27| 98480|PHONE| HOME| 732| 123|9876| 98480|ADDR| OFF| 211| EXCHANGE PL| JERSEY CITY| NJ| 07302|
+--------+------+---------+--------+----+-----+---+--------+-----+---------+--------+-----------+----+--------+----+--------+-----+----------------+------------+-----+-------+
i am trying to convert it to java object without much success.
my pojos looks like something like this.
public class Person implements Serializable
{
private String firstName;
private String lastName;
private String dateOfBirth;
private List<Address> addresses = null;
private List<Phone> phones = null;
......
public class Phone implements Serializable
{
private String phoneNumber;
public class Address implements Serializable
{
private String addr1;
private String addr2;
private String city;
private String zipCode;
....
any ideas on how can i do it

Related

Spring JPA: transactions conflict [duplicate]

I have an update query:
#Modifying
#Transactional
#Query("UPDATE Admin SET firstname = :firstname, lastname = :lastname, login = :login, superAdmin = :superAdmin, preferenceAdmin = :preferenceAdmin, address = :address, zipCode = :zipCode, city = :city, country = :country, email = :email, profile = :profile, postLoginUrl = :postLoginUrl WHERE id = :id")
public void update(#Param("firstname") String firstname, #Param("lastname") String lastname, #Param("login") String login, #Param("superAdmin") boolean superAdmin, #Param("preferenceAdmin") boolean preferenceAdmin, #Param("address") String address, #Param("zipCode") String zipCode, #Param("city") String city, #Param("country") String country, #Param("email") String email, #Param("profile") String profile, #Param("postLoginUrl") String postLoginUrl, #Param("id") Long id);
I'm trying to use it in an integration test:
adminRepository.update("Toto", "LeHeros", admin0.getLogin(), admin0.getSuperAdmin(), admin0.getPreferenceAdmin(), admin0.getAddress(), admin0.getZipCode(), admin0.getCity(), admin0.getCountry(), admin0.getEmail(), admin0.getProfile(), admin0.getPostLoginUrl(), admin0.getId());
Admin loadedAdmin = adminRepository.findOne(admin0.getId());
assertEquals("Toto", loadedAdmin.getFirstname());
assertEquals("LeHeros", loadedAdmin.getLastname());
But the fields are not updated and retain their initial values, the test thus failing.
I tried adding a flush right before the findOne query:
adminRepository.flush();
But the failed assertion remained identical.
I can see the update sql statement in the log:
update admin set firstname='Toto', lastname='LeHeros', login='stephane', super_admin=0, preference_admin=0,
address=NULL, zip_code=NULL, city=NULL, country=NULL, email='stephane#thalasoft.com', profile=NULL,
post_login_url=NULL where id=2839
But the log shows no sql that could relate to the finder:
Admin loadedAdmin = adminRepository.findOne(admin0.getId());
The finder sql statement is not making its way to the database.
Is it ignored for some caching reason ?
If I then add a call to the findByEmail and findByLogin finders as in:
adminRepository.update("Toto", "LeHeros", "qwerty", admin0.getSuperAdmin(), admin0.getPreferenceAdmin(), admin0.getAddress(), admin0.getZipCode(), admin0.getCity(), admin0.getCountry(), admin0.getEmail(), admin0.getProfile(), admin0.getPostLoginUrl(), admin0.getId());
Admin loadedAdmin = adminRepository.findOne(admin0.getId());
Admin myadmin = adminRepository.findByEmail(admin0.getEmail());
Admin anadmin = adminRepository.findByLogin("qwerty");
assertEquals("Toto", anadmin.getFirstname());
assertEquals("Toto", myadmin.getFirstname());
assertEquals("Toto", loadedAdmin.getFirstname());
assertEquals("LeHeros", loadedAdmin.getLastname());
then I can see in the log the sql statement being generated:
But the assertion:
assertEquals("Toto", myadmin.getFirstname());
still fails even though the trace shows the same domain object was retrieved:
TRACE [BasicExtractor] found [1037] as column [id14_]
One other thing that puzzles me with this other finder is that it shows a limit 2 clause even though it is supposed to return only one Admin object.
I thought there would always be a limit 1 when returning one domain object. Is this a wrong assumption on Spring Data ?
When pasting in a MySQL client, the sql statements displayed in the console log, the logic works fine:
mysql> insert into admin (version, address, city, country, email, firstname, lastname, login, password,
-> password_salt, post_login_url, preference_admin, profile, super_admin, zip_code) values (0,
-> NULL, NULL, NULL, 'zemail#thalasoft.com039', 'zfirstname039', 'zlastname039', 'zlogin039',
-> 'zpassword039', '', NULL, 0, NULL, 1, NULL);
Query OK, 1 row affected (0.07 sec)
mysql> select * from admin;
+------+---------+---------------+--------------+-----------+--------------+---------------+-------------+------------------+---------+----------+------+---------+-------------------------+---------+----------------+
| id | version | firstname | lastname | login | password | password_salt | super_admin | preference_admin | address | zip_code | city | country | email | profile | post_login_url |
+------+---------+---------------+--------------+-----------+--------------+---------------+-------------+------------------+---------+----------+------+---------+-------------------------+---------+----------------+
| 1807 | 0 | zfirstname039 | zlastname039 | zlogin039 | zpassword039 | | 1 | 0 | NULL | NULL | NULL | NULL | zemail#thalasoft.com039 | NULL | NULL |
+------+---------+---------------+--------------+-----------+--------------+---------------+-------------+------------------+---------+----------+------+---------+-------------------------+---------+----------------+
1 row in set (0.00 sec)
mysql> update admin set firstname='Toto', lastname='LeHeros', login='qwerty', super_admin=0, preference_admin=0, address=NULL, zip_code=NULL, city=NULL, country=NULL, email='stephane#thalasoft.com', profile=NULL, post_login_url=NULL where id=1807;
Query OK, 1 row affected (0.07 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> select * from admin; +------+---------+-----------+----------+--------+--------------+---------------+-------------+------------------+---------+----------+------+---------+------------------------+---------+----------------+
| id | version | firstname | lastname | login | password | password_salt | super_admin | preference_admin | address | zip_code | city | country | email | profile | post_login_url |
+------+---------+-----------+----------+--------+--------------+---------------+-------------+------------------+---------+----------+------+---------+------------------------+---------+----------------+
| 1807 | 0 | Toto | LeHeros | qwerty | zpassword039 | | 0 | 0 | NULL | NULL | NULL | NULL | stephane#thalasoft.com | NULL | NULL |
+------+---------+-----------+----------+--------+--------------+---------------+-------------+------------------+---------+----------+------+---------+------------------------+---------+----------------+
1 row in set (0.00 sec)
mysql> select admin0_.id as id14_, admin0_.version as version14_, admin0_.address as address14_, admin0_.city as city14_, admin0_.country as country14_, admin0_.email as email14_, admin0_.firstname as firstname14_, admin0_.lastname as lastname14_, admin0_.login as login14_, admin0_.password as password14_, admin0_.password_salt as password11_14_, admin0_.post_login_url as post12_14_, admin0_.preference_admin as preference13_14_, admin0_.profile as profile14_, admin0_.super_admin as super15_14_, admin0_.zip_code as zip16_14_ from admin admin0_ where admin0_.email='stephane#thalasoft.com' limit 2;
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
| id14_ | version14_ | address14_ | city14_ | country14_ | email14_ | firstname14_ | lastname14_ | login14_ | password14_ | password11_14_ | post12_14_ | preference13_14_ | profile14_ | super15_14_ | zip16_14_ |
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
| 1807 | 0 | NULL | NULL | NULL | stephane#thalasoft.com | Toto | LeHeros | qwerty | zpassword039 | | NULL | 0 | NULL | 0 | NULL |
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
1 row in set (0.00 sec)
mysql> select admin0_.id as id14_, admin0_.version as version14_, admin0_.address as address14_, admin0_.city as city14_, admin0_.country as country14_, admin0_.email as email14_, admin0_.firstname as firstname14_, admin0_.lastname as lastname14_, admin0_.login as login14_, admin0_.password as password14_, admin0_.password_salt as password11_14_, admin0_.post_login_url as post12_14_, admin0_.preference_admin as preference13_14_, admin0_.profile as profile14_, admin0_.super_admin as super15_14_, admin0_.zip_code as zip16_14_ from admin admin0_ where admin0_.login='qwerty' limit 2;
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
| id14_ | version14_ | address14_ | city14_ | country14_ | email14_ | firstname14_ | lastname14_ | login14_ | password14_ | password11_14_ | post12_14_ | preference13_14_ | profile14_ | super15_14_ | zip16_14_ |
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
| 1807 | 0 | NULL | NULL | NULL | stephane#thalasoft.com | Toto | LeHeros | qwerty | zpassword039 | | NULL | 0 | NULL | 0 | NULL |
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
1 row in set (0.00 sec)
So why is this not reflected at the Java level ?
The EntityManager doesn't flush change automatically by default. You should use the following option with your statement of query:
#Modifying(clearAutomatically = true)
#Query("update RssFeedEntry feedEntry set feedEntry.read =:isRead where feedEntry.id =:entryId")
void markEntryAsRead(#Param("entryId") Long rssFeedEntryId, #Param("isRead") boolean isRead);
I finally understood what was going on.
When creating an integration test on a statement saving an object, it is recommended to flush the entity manager so as to avoid any false negative, that is, to avoid a test running fine but whose operation would fail when run in production. Indeed, the test may run fine simply because the first level cache is not flushed and no writing hits the database. To avoid this false negative integration test use an explicit flush in the test body. Note that the production code should never need to use any explicit flush as it is the role of the ORM to decide when to flush.
When creating an integration test on an update statement, it may be necessary to clear the entity manager so as to reload the first level cache. Indeed, an update statement completely bypasses the first level cache and writes directly to the database. The first level cache is then out of sync and reflects the old value of the updated object. To avoid this stale state of the object, use an explicit clear in the test body. Note that the production code should never need to use any explicit clear as it is the role of the ORM to decide when to clear.
My test now works just fine.
I was able to get this to work. I will describe my application and the integration test here.
The Example Application
The example application has two classes and one interface that are relevant to this problem:
The application context configuration class
The entity class
The repository interface
These classes and the repository interface are described in the following.
The source code of the PersistenceContext class looks as follows:
import com.jolbox.bonecp.BoneCPDataSource;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.PropertySource;
import org.springframework.core.env.Environment;
import org.springframework.data.jpa.repository.config.EnableJpaRepositories;
import org.springframework.orm.jpa.JpaTransactionManager;
import org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean;
import org.springframework.orm.jpa.vendor.HibernateJpaVendorAdapter;
import org.springframework.transaction.annotation.EnableTransactionManagement;
import javax.sql.DataSource;
import java.util.Properties;
#Configuration
#EnableTransactionManagement
#EnableJpaRepositories(basePackages = "net.petrikainulainen.spring.datajpa.todo.repository")
#PropertySource("classpath:application.properties")
public class PersistenceContext {
protected static final String PROPERTY_NAME_DATABASE_DRIVER = "db.driver";
protected static final String PROPERTY_NAME_DATABASE_PASSWORD = "db.password";
protected static final String PROPERTY_NAME_DATABASE_URL = "db.url";
protected static final String PROPERTY_NAME_DATABASE_USERNAME = "db.username";
private static final String PROPERTY_NAME_HIBERNATE_DIALECT = "hibernate.dialect";
private static final String PROPERTY_NAME_HIBERNATE_FORMAT_SQL = "hibernate.format_sql";
private static final String PROPERTY_NAME_HIBERNATE_HBM2DDL_AUTO = "hibernate.hbm2ddl.auto";
private static final String PROPERTY_NAME_HIBERNATE_NAMING_STRATEGY = "hibernate.ejb.naming_strategy";
private static final String PROPERTY_NAME_HIBERNATE_SHOW_SQL = "hibernate.show_sql";
private static final String PROPERTY_PACKAGES_TO_SCAN = "net.petrikainulainen.spring.datajpa.todo.model";
#Autowired
private Environment environment;
#Bean
public DataSource dataSource() {
BoneCPDataSource dataSource = new BoneCPDataSource();
dataSource.setDriverClass(environment.getRequiredProperty(PROPERTY_NAME_DATABASE_DRIVER));
dataSource.setJdbcUrl(environment.getRequiredProperty(PROPERTY_NAME_DATABASE_URL));
dataSource.setUsername(environment.getRequiredProperty(PROPERTY_NAME_DATABASE_USERNAME));
dataSource.setPassword(environment.getRequiredProperty(PROPERTY_NAME_DATABASE_PASSWORD));
return dataSource;
}
#Bean
public JpaTransactionManager transactionManager() {
JpaTransactionManager transactionManager = new JpaTransactionManager();
transactionManager.setEntityManagerFactory(entityManagerFactory().getObject());
return transactionManager;
}
#Bean
public LocalContainerEntityManagerFactoryBean entityManagerFactory() {
LocalContainerEntityManagerFactoryBean entityManagerFactoryBean = new LocalContainerEntityManagerFactoryBean();
entityManagerFactoryBean.setDataSource(dataSource());
entityManagerFactoryBean.setJpaVendorAdapter(new HibernateJpaVendorAdapter());
entityManagerFactoryBean.setPackagesToScan(PROPERTY_PACKAGES_TO_SCAN);
Properties jpaProperties = new Properties();
jpaProperties.put(PROPERTY_NAME_HIBERNATE_DIALECT, environment.getRequiredProperty(PROPERTY_NAME_HIBERNATE_DIALECT));
jpaProperties.put(PROPERTY_NAME_HIBERNATE_FORMAT_SQL, environment.getRequiredProperty(PROPERTY_NAME_HIBERNATE_FORMAT_SQL));
jpaProperties.put(PROPERTY_NAME_HIBERNATE_HBM2DDL_AUTO, environment.getRequiredProperty(PROPERTY_NAME_HIBERNATE_HBM2DDL_AUTO));
jpaProperties.put(PROPERTY_NAME_HIBERNATE_NAMING_STRATEGY, environment.getRequiredProperty(PROPERTY_NAME_HIBERNATE_NAMING_STRATEGY));
jpaProperties.put(PROPERTY_NAME_HIBERNATE_SHOW_SQL, environment.getRequiredProperty(PROPERTY_NAME_HIBERNATE_SHOW_SQL));
entityManagerFactoryBean.setJpaProperties(jpaProperties);
return entityManagerFactoryBean;
}
}
Let's assume that we have a simple entity called Todo which source code looks as follows:
#Entity
#Table(name="todos")
public class Todo {
public static final int MAX_LENGTH_DESCRIPTION = 500;
public static final int MAX_LENGTH_TITLE = 100;
#Id
#GeneratedValue(strategy = GenerationType.AUTO)
private Long id;
#Column(name = "description", nullable = true, length = MAX_LENGTH_DESCRIPTION)
private String description;
#Column(name = "title", nullable = false, length = MAX_LENGTH_TITLE)
private String title;
#Version
private long version;
}
Our repository interface has a single method called updateTitle() which updates the title of a todo entry. The source code of the TodoRepository interface looks as follows:
import net.petrikainulainen.spring.datajpa.todo.model.Todo;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.data.jpa.repository.Modifying;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.query.Param;
import java.util.List;
public interface TodoRepository extends JpaRepository<Todo, Long> {
#Modifying
#Query("Update Todo t SET t.title=:title WHERE t.id=:id")
public void updateTitle(#Param("id") Long id, #Param("title") String title);
}
The updateTitle() method is not annotated with the #Transactional annotation because I think that it is best to use a service layer as a transaction boundary.
The Integration Test
The Integration Test uses DbUnit, Spring Test and Spring-Test-DBUnit. It has three components which are relevant to this problem:
The DbUnit dataset which is used to initialize the database into a known state before the test is executed.
The DbUnit dataset which is used to verify that the title of the entity is updated.
The integration test.
These components are described with more details in the following.
The name of the DbUnit dataset file which is used to initialize the database to known state is toDoData.xml and its content looks as follows:
<dataset>
<todos id="1" description="Lorem ipsum" title="Foo" version="0"/>
<todos id="2" description="Lorem ipsum" title="Bar" version="0"/>
</dataset>
The name of the DbUnit dataset which is used to verify that the title of the todo entry is updated is called toDoData-update.xml and its content looks as follows (for some reason the version of the todo entry was not updated but the title was. Any ideas why?):
<dataset>
<todos id="1" description="Lorem ipsum" title="FooBar" version="0"/>
<todos id="2" description="Lorem ipsum" title="Bar" version="0"/>
</dataset>
The source code of the actual integration test looks as follows (Remember to annotate the test method with the #Transactional annotation):
import com.github.springtestdbunit.DbUnitTestExecutionListener;
import com.github.springtestdbunit.TransactionDbUnitTestExecutionListener;
import com.github.springtestdbunit.annotation.DatabaseSetup;
import com.github.springtestdbunit.annotation.ExpectedDatabase;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.test.annotation.Rollback;
import org.springframework.test.context.ContextConfiguration;
import org.springframework.test.context.TestExecutionListeners;
import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;
import org.springframework.test.context.support.DependencyInjectionTestExecutionListener;
import org.springframework.test.context.support.DirtiesContextTestExecutionListener;
import org.springframework.test.context.transaction.TransactionalTestExecutionListener;
import org.springframework.transaction.annotation.Transactional;
#RunWith(SpringJUnit4ClassRunner.class)
#ContextConfiguration(classes = {PersistenceContext.class})
#TestExecutionListeners({ DependencyInjectionTestExecutionListener.class,
DirtiesContextTestExecutionListener.class,
TransactionalTestExecutionListener.class,
DbUnitTestExecutionListener.class })
#DatabaseSetup("todoData.xml")
public class ITTodoRepositoryTest {
#Autowired
private TodoRepository repository;
#Test
#Transactional
#ExpectedDatabase("toDoData-update.xml")
public void updateTitle_ShouldUpdateTitle() {
repository.updateTitle(1L, "FooBar");
}
}
After I run the integration test, the test passes and the title of the todo entry is updated. The only problem which I am having is that the version field is not updated. Any ideas why?
I undestand that this description is a bit vague. If you want to get more information about writing integration tests for Spring Data JPA repositories, you can read my blog post about it.
The underlying problem here is the 1st level cache of JPA.
From the JPA spec Version 2.2 section 3.1. emphasise is mine:
An EntityManager instance is associated with a persistence context. A persistence context is a set of entity instances in which for any persistent entity identity there is a unique entity instance.
This is important because JPA tracks changes to that entity in order to flush them to the database.
As a side effect it also means within a single persistence context an entity gets only loaded once.
This why reloading the changed entity doesn't have any effect.
You have a couple of options how to handle this:
Evict the entity from the EntityManager.
This may be done by calling EntityManager.detach, annotating the updating method with #Modifying(clearAutomatically = true) which evicts all entities.
Make sure changes to these entities get flushed first or you might end up loosing changes.
Use EntityManager.refresh().
Use a different persistence context to load the entity.
The easiest way to do this is to do it in a separate transaction.
With Spring this can be done by having separate methods annotated with #Transactional on beans called from a bean not annotated with #Transactional.
Another way is to use a TransactionTemplate which works especially nicely in tests where it makes transaction boundaries very visible.
I struggled with the same problem where I was trying to execute an update query like the same as you did-
#Modifying
#Transactional
#Query(value = "UPDATE SAMPLE_TABLE st SET st.status=:flag WHERE se.referenceNo in :ids")
public int updateStatus(#Param("flag")String flag, #Param("ids")List<String> references);
This will work if you have put #EnableTransactionManagement annotation on the main class.
Spring 3.1 introduces the #EnableTransactionManagement annotation to be used in on #Configuration classes and enable transactional support.

PubsubToBQ tableCreation before insert

I'm trying to make a life Bigquery table creation before the inserting process itself. Here is the code of PTransform that I'm using -> Link
This transform I would like to apply on Pubsub messages that would be inserted in BQ table later.
Phase 1. Getting pubsub messages:
PCollection<PubsubMessage> messages =
pipeline.apply(
"ReadPubSubSubscription",
PubsubIO.readMessagesWithAttributes()
.fromSubscription(options.getInputSubscription()));
Phase 2. Convert all pubsub messages to TableRow:
PCollectionTuple convertedTableRows =
messages
.apply("ConvertMessageToTableRow", new PubsubMessageToTableRow(options));
Phase 3. Here is the problem, I need to check if table exist and upload the result to BQ:
###here is the schema for our BQ table
public static final Schema schema1 =
Schema.of(
Field.of("name", StandardSQLTypeName.STRING),
Field.of("post_abbr", StandardSQLTypeName.STRING));
### here is the method that we using to extract table name from pubsub attributes
static class PubSubAttributeExtractor implements SerializableFunction<ValueInSingleWindow<TableRow>, String> {
private final String attribute;
public PubSubAttributeExtractor(String attribute) {
this.attribute = attribute;
}
#Override
public String apply(ValueInSingleWindow<TableRow> input) {
TableRow row = input.getValue();
String tableName = (String) row.get("name");
return "my-project:myDS.pubsub_" + tableName;
}
}
### here is the part that doesn't work
WriteResult writeResult = convertedTableRows.get(TRANSFORM_OUT)
.apply(new BigQueryAutoCreateTable(
new PubSubAttributeExtractor("event_name"),schema1));
.apply(
"WriteSuccessfulRecords",
BigQueryIO.writeTableRows()
.withoutValidation()
.withCreateDisposition(CreateDisposition.CREATE_NEVER)
.withWriteDisposition(WriteDisposition.WRITE_APPEND)
.withExtendedErrorInfo()
.withMethod(BigQueryIO.Write.Method.STREAMING_INSERTS)
.withFailedInsertRetryPolicy(InsertRetryPolicy.retryTransientErrors())
.to(new ProbPartitionDestinations(options.getOutputTableSpec())
)
);
Error logs:
cannot find symbol
symbol: method apply(java.lang.String,org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write<com.google.api.services.bigquery.model.TableRow>)
location: interface org.apache.beam.sdk.values.POutput

AWS DynamoDb read BatchRead using DynamoDbEnhancedClient

BatchGetResultPageIterable batchResults = dynamoDbEnhancedClient
.batchGetItem(BatchGetItemEnhancedRequest.builder()
.readBatches(ReadBatch.builder(Analysis.class).mappedTableResource(analysisTable)
.addGetItem(GetItemEnhancedRequest.builder()
.key(Key.builder().partitionValue(projectId).build()).build())
.build())
.build());
batchResults.forEach(page -> page.resultsForTable(analysisTable)
.forEach(item -> System.out.println(item.getFileId())));
I used the above one.. but i am facing the issue
software.amazon.awssdk.services.dynamodb.model.DynamoDbException: The provided key element does not match the schema (Service: DynamoDb, Status Code: 400, Request ID: 36V6D9GAGEUA817ODOGV52PF6VVV4KQNAO5AEMVJF66Q9ASUAAJG)
AnalysisTable
=================
PartitionKey Sort Key Name
A===============>1.txt=====>ABC
A===============>2.txt=====>DEF
A===============>3.txt=====>GHI
A===============>4.txt=====>JKL
class Analysis {
private String projectId;
private String sampleId;
private String sampleName;
private String description;
//setter & getters
}
Since you have partition and sort keys, I think you are missing the .sortValue() in your Key.builder()
It needs to be Key.builder().partitionValue(projectId).sortValue(your-sort-key).build()
If you want everything under a certain partition key, this how you can do it:
List<DTO> DTOs = pageToList(mappedTable.query(
QueryEnhancedRequest
.builder()
.queryConditional(
QueryConditional.keyEqualTo(
Key.builder().partitionValue(projectId).build()
)
)
.build()
private List<DTO> pageToList(SdkIterable<Page<DTO>> iterable) {
List<DTO> rVal = new ArrayList<>();
iterable.forEach(item -> rVal.addAll(item.items()));
return rVal;
}
Note that this assumes you are using the latest enhanced dependency:
software.amazon.awssdk
dynamodb-enhanced

How to update spring jpa entity cache? [duplicate]

I have an update query:
#Modifying
#Transactional
#Query("UPDATE Admin SET firstname = :firstname, lastname = :lastname, login = :login, superAdmin = :superAdmin, preferenceAdmin = :preferenceAdmin, address = :address, zipCode = :zipCode, city = :city, country = :country, email = :email, profile = :profile, postLoginUrl = :postLoginUrl WHERE id = :id")
public void update(#Param("firstname") String firstname, #Param("lastname") String lastname, #Param("login") String login, #Param("superAdmin") boolean superAdmin, #Param("preferenceAdmin") boolean preferenceAdmin, #Param("address") String address, #Param("zipCode") String zipCode, #Param("city") String city, #Param("country") String country, #Param("email") String email, #Param("profile") String profile, #Param("postLoginUrl") String postLoginUrl, #Param("id") Long id);
I'm trying to use it in an integration test:
adminRepository.update("Toto", "LeHeros", admin0.getLogin(), admin0.getSuperAdmin(), admin0.getPreferenceAdmin(), admin0.getAddress(), admin0.getZipCode(), admin0.getCity(), admin0.getCountry(), admin0.getEmail(), admin0.getProfile(), admin0.getPostLoginUrl(), admin0.getId());
Admin loadedAdmin = adminRepository.findOne(admin0.getId());
assertEquals("Toto", loadedAdmin.getFirstname());
assertEquals("LeHeros", loadedAdmin.getLastname());
But the fields are not updated and retain their initial values, the test thus failing.
I tried adding a flush right before the findOne query:
adminRepository.flush();
But the failed assertion remained identical.
I can see the update sql statement in the log:
update admin set firstname='Toto', lastname='LeHeros', login='stephane', super_admin=0, preference_admin=0,
address=NULL, zip_code=NULL, city=NULL, country=NULL, email='stephane#thalasoft.com', profile=NULL,
post_login_url=NULL where id=2839
But the log shows no sql that could relate to the finder:
Admin loadedAdmin = adminRepository.findOne(admin0.getId());
The finder sql statement is not making its way to the database.
Is it ignored for some caching reason ?
If I then add a call to the findByEmail and findByLogin finders as in:
adminRepository.update("Toto", "LeHeros", "qwerty", admin0.getSuperAdmin(), admin0.getPreferenceAdmin(), admin0.getAddress(), admin0.getZipCode(), admin0.getCity(), admin0.getCountry(), admin0.getEmail(), admin0.getProfile(), admin0.getPostLoginUrl(), admin0.getId());
Admin loadedAdmin = adminRepository.findOne(admin0.getId());
Admin myadmin = adminRepository.findByEmail(admin0.getEmail());
Admin anadmin = adminRepository.findByLogin("qwerty");
assertEquals("Toto", anadmin.getFirstname());
assertEquals("Toto", myadmin.getFirstname());
assertEquals("Toto", loadedAdmin.getFirstname());
assertEquals("LeHeros", loadedAdmin.getLastname());
then I can see in the log the sql statement being generated:
But the assertion:
assertEquals("Toto", myadmin.getFirstname());
still fails even though the trace shows the same domain object was retrieved:
TRACE [BasicExtractor] found [1037] as column [id14_]
One other thing that puzzles me with this other finder is that it shows a limit 2 clause even though it is supposed to return only one Admin object.
I thought there would always be a limit 1 when returning one domain object. Is this a wrong assumption on Spring Data ?
When pasting in a MySQL client, the sql statements displayed in the console log, the logic works fine:
mysql> insert into admin (version, address, city, country, email, firstname, lastname, login, password,
-> password_salt, post_login_url, preference_admin, profile, super_admin, zip_code) values (0,
-> NULL, NULL, NULL, 'zemail#thalasoft.com039', 'zfirstname039', 'zlastname039', 'zlogin039',
-> 'zpassword039', '', NULL, 0, NULL, 1, NULL);
Query OK, 1 row affected (0.07 sec)
mysql> select * from admin;
+------+---------+---------------+--------------+-----------+--------------+---------------+-------------+------------------+---------+----------+------+---------+-------------------------+---------+----------------+
| id | version | firstname | lastname | login | password | password_salt | super_admin | preference_admin | address | zip_code | city | country | email | profile | post_login_url |
+------+---------+---------------+--------------+-----------+--------------+---------------+-------------+------------------+---------+----------+------+---------+-------------------------+---------+----------------+
| 1807 | 0 | zfirstname039 | zlastname039 | zlogin039 | zpassword039 | | 1 | 0 | NULL | NULL | NULL | NULL | zemail#thalasoft.com039 | NULL | NULL |
+------+---------+---------------+--------------+-----------+--------------+---------------+-------------+------------------+---------+----------+------+---------+-------------------------+---------+----------------+
1 row in set (0.00 sec)
mysql> update admin set firstname='Toto', lastname='LeHeros', login='qwerty', super_admin=0, preference_admin=0, address=NULL, zip_code=NULL, city=NULL, country=NULL, email='stephane#thalasoft.com', profile=NULL, post_login_url=NULL where id=1807;
Query OK, 1 row affected (0.07 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> select * from admin; +------+---------+-----------+----------+--------+--------------+---------------+-------------+------------------+---------+----------+------+---------+------------------------+---------+----------------+
| id | version | firstname | lastname | login | password | password_salt | super_admin | preference_admin | address | zip_code | city | country | email | profile | post_login_url |
+------+---------+-----------+----------+--------+--------------+---------------+-------------+------------------+---------+----------+------+---------+------------------------+---------+----------------+
| 1807 | 0 | Toto | LeHeros | qwerty | zpassword039 | | 0 | 0 | NULL | NULL | NULL | NULL | stephane#thalasoft.com | NULL | NULL |
+------+---------+-----------+----------+--------+--------------+---------------+-------------+------------------+---------+----------+------+---------+------------------------+---------+----------------+
1 row in set (0.00 sec)
mysql> select admin0_.id as id14_, admin0_.version as version14_, admin0_.address as address14_, admin0_.city as city14_, admin0_.country as country14_, admin0_.email as email14_, admin0_.firstname as firstname14_, admin0_.lastname as lastname14_, admin0_.login as login14_, admin0_.password as password14_, admin0_.password_salt as password11_14_, admin0_.post_login_url as post12_14_, admin0_.preference_admin as preference13_14_, admin0_.profile as profile14_, admin0_.super_admin as super15_14_, admin0_.zip_code as zip16_14_ from admin admin0_ where admin0_.email='stephane#thalasoft.com' limit 2;
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
| id14_ | version14_ | address14_ | city14_ | country14_ | email14_ | firstname14_ | lastname14_ | login14_ | password14_ | password11_14_ | post12_14_ | preference13_14_ | profile14_ | super15_14_ | zip16_14_ |
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
| 1807 | 0 | NULL | NULL | NULL | stephane#thalasoft.com | Toto | LeHeros | qwerty | zpassword039 | | NULL | 0 | NULL | 0 | NULL |
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
1 row in set (0.00 sec)
mysql> select admin0_.id as id14_, admin0_.version as version14_, admin0_.address as address14_, admin0_.city as city14_, admin0_.country as country14_, admin0_.email as email14_, admin0_.firstname as firstname14_, admin0_.lastname as lastname14_, admin0_.login as login14_, admin0_.password as password14_, admin0_.password_salt as password11_14_, admin0_.post_login_url as post12_14_, admin0_.preference_admin as preference13_14_, admin0_.profile as profile14_, admin0_.super_admin as super15_14_, admin0_.zip_code as zip16_14_ from admin admin0_ where admin0_.login='qwerty' limit 2;
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
| id14_ | version14_ | address14_ | city14_ | country14_ | email14_ | firstname14_ | lastname14_ | login14_ | password14_ | password11_14_ | post12_14_ | preference13_14_ | profile14_ | super15_14_ | zip16_14_ |
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
| 1807 | 0 | NULL | NULL | NULL | stephane#thalasoft.com | Toto | LeHeros | qwerty | zpassword039 | | NULL | 0 | NULL | 0 | NULL |
+-------+------------+------------+---------+------------+------------------------+--------------+-------------+----------+--------------+----------------+------------+------------------+------------+-------------+-----------+
1 row in set (0.00 sec)
So why is this not reflected at the Java level ?
The EntityManager doesn't flush change automatically by default. You should use the following option with your statement of query:
#Modifying(clearAutomatically = true)
#Query("update RssFeedEntry feedEntry set feedEntry.read =:isRead where feedEntry.id =:entryId")
void markEntryAsRead(#Param("entryId") Long rssFeedEntryId, #Param("isRead") boolean isRead);
I finally understood what was going on.
When creating an integration test on a statement saving an object, it is recommended to flush the entity manager so as to avoid any false negative, that is, to avoid a test running fine but whose operation would fail when run in production. Indeed, the test may run fine simply because the first level cache is not flushed and no writing hits the database. To avoid this false negative integration test use an explicit flush in the test body. Note that the production code should never need to use any explicit flush as it is the role of the ORM to decide when to flush.
When creating an integration test on an update statement, it may be necessary to clear the entity manager so as to reload the first level cache. Indeed, an update statement completely bypasses the first level cache and writes directly to the database. The first level cache is then out of sync and reflects the old value of the updated object. To avoid this stale state of the object, use an explicit clear in the test body. Note that the production code should never need to use any explicit clear as it is the role of the ORM to decide when to clear.
My test now works just fine.
I was able to get this to work. I will describe my application and the integration test here.
The Example Application
The example application has two classes and one interface that are relevant to this problem:
The application context configuration class
The entity class
The repository interface
These classes and the repository interface are described in the following.
The source code of the PersistenceContext class looks as follows:
import com.jolbox.bonecp.BoneCPDataSource;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.PropertySource;
import org.springframework.core.env.Environment;
import org.springframework.data.jpa.repository.config.EnableJpaRepositories;
import org.springframework.orm.jpa.JpaTransactionManager;
import org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean;
import org.springframework.orm.jpa.vendor.HibernateJpaVendorAdapter;
import org.springframework.transaction.annotation.EnableTransactionManagement;
import javax.sql.DataSource;
import java.util.Properties;
#Configuration
#EnableTransactionManagement
#EnableJpaRepositories(basePackages = "net.petrikainulainen.spring.datajpa.todo.repository")
#PropertySource("classpath:application.properties")
public class PersistenceContext {
protected static final String PROPERTY_NAME_DATABASE_DRIVER = "db.driver";
protected static final String PROPERTY_NAME_DATABASE_PASSWORD = "db.password";
protected static final String PROPERTY_NAME_DATABASE_URL = "db.url";
protected static final String PROPERTY_NAME_DATABASE_USERNAME = "db.username";
private static final String PROPERTY_NAME_HIBERNATE_DIALECT = "hibernate.dialect";
private static final String PROPERTY_NAME_HIBERNATE_FORMAT_SQL = "hibernate.format_sql";
private static final String PROPERTY_NAME_HIBERNATE_HBM2DDL_AUTO = "hibernate.hbm2ddl.auto";
private static final String PROPERTY_NAME_HIBERNATE_NAMING_STRATEGY = "hibernate.ejb.naming_strategy";
private static final String PROPERTY_NAME_HIBERNATE_SHOW_SQL = "hibernate.show_sql";
private static final String PROPERTY_PACKAGES_TO_SCAN = "net.petrikainulainen.spring.datajpa.todo.model";
#Autowired
private Environment environment;
#Bean
public DataSource dataSource() {
BoneCPDataSource dataSource = new BoneCPDataSource();
dataSource.setDriverClass(environment.getRequiredProperty(PROPERTY_NAME_DATABASE_DRIVER));
dataSource.setJdbcUrl(environment.getRequiredProperty(PROPERTY_NAME_DATABASE_URL));
dataSource.setUsername(environment.getRequiredProperty(PROPERTY_NAME_DATABASE_USERNAME));
dataSource.setPassword(environment.getRequiredProperty(PROPERTY_NAME_DATABASE_PASSWORD));
return dataSource;
}
#Bean
public JpaTransactionManager transactionManager() {
JpaTransactionManager transactionManager = new JpaTransactionManager();
transactionManager.setEntityManagerFactory(entityManagerFactory().getObject());
return transactionManager;
}
#Bean
public LocalContainerEntityManagerFactoryBean entityManagerFactory() {
LocalContainerEntityManagerFactoryBean entityManagerFactoryBean = new LocalContainerEntityManagerFactoryBean();
entityManagerFactoryBean.setDataSource(dataSource());
entityManagerFactoryBean.setJpaVendorAdapter(new HibernateJpaVendorAdapter());
entityManagerFactoryBean.setPackagesToScan(PROPERTY_PACKAGES_TO_SCAN);
Properties jpaProperties = new Properties();
jpaProperties.put(PROPERTY_NAME_HIBERNATE_DIALECT, environment.getRequiredProperty(PROPERTY_NAME_HIBERNATE_DIALECT));
jpaProperties.put(PROPERTY_NAME_HIBERNATE_FORMAT_SQL, environment.getRequiredProperty(PROPERTY_NAME_HIBERNATE_FORMAT_SQL));
jpaProperties.put(PROPERTY_NAME_HIBERNATE_HBM2DDL_AUTO, environment.getRequiredProperty(PROPERTY_NAME_HIBERNATE_HBM2DDL_AUTO));
jpaProperties.put(PROPERTY_NAME_HIBERNATE_NAMING_STRATEGY, environment.getRequiredProperty(PROPERTY_NAME_HIBERNATE_NAMING_STRATEGY));
jpaProperties.put(PROPERTY_NAME_HIBERNATE_SHOW_SQL, environment.getRequiredProperty(PROPERTY_NAME_HIBERNATE_SHOW_SQL));
entityManagerFactoryBean.setJpaProperties(jpaProperties);
return entityManagerFactoryBean;
}
}
Let's assume that we have a simple entity called Todo which source code looks as follows:
#Entity
#Table(name="todos")
public class Todo {
public static final int MAX_LENGTH_DESCRIPTION = 500;
public static final int MAX_LENGTH_TITLE = 100;
#Id
#GeneratedValue(strategy = GenerationType.AUTO)
private Long id;
#Column(name = "description", nullable = true, length = MAX_LENGTH_DESCRIPTION)
private String description;
#Column(name = "title", nullable = false, length = MAX_LENGTH_TITLE)
private String title;
#Version
private long version;
}
Our repository interface has a single method called updateTitle() which updates the title of a todo entry. The source code of the TodoRepository interface looks as follows:
import net.petrikainulainen.spring.datajpa.todo.model.Todo;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.data.jpa.repository.Modifying;
import org.springframework.data.jpa.repository.Query;
import org.springframework.data.repository.query.Param;
import java.util.List;
public interface TodoRepository extends JpaRepository<Todo, Long> {
#Modifying
#Query("Update Todo t SET t.title=:title WHERE t.id=:id")
public void updateTitle(#Param("id") Long id, #Param("title") String title);
}
The updateTitle() method is not annotated with the #Transactional annotation because I think that it is best to use a service layer as a transaction boundary.
The Integration Test
The Integration Test uses DbUnit, Spring Test and Spring-Test-DBUnit. It has three components which are relevant to this problem:
The DbUnit dataset which is used to initialize the database into a known state before the test is executed.
The DbUnit dataset which is used to verify that the title of the entity is updated.
The integration test.
These components are described with more details in the following.
The name of the DbUnit dataset file which is used to initialize the database to known state is toDoData.xml and its content looks as follows:
<dataset>
<todos id="1" description="Lorem ipsum" title="Foo" version="0"/>
<todos id="2" description="Lorem ipsum" title="Bar" version="0"/>
</dataset>
The name of the DbUnit dataset which is used to verify that the title of the todo entry is updated is called toDoData-update.xml and its content looks as follows (for some reason the version of the todo entry was not updated but the title was. Any ideas why?):
<dataset>
<todos id="1" description="Lorem ipsum" title="FooBar" version="0"/>
<todos id="2" description="Lorem ipsum" title="Bar" version="0"/>
</dataset>
The source code of the actual integration test looks as follows (Remember to annotate the test method with the #Transactional annotation):
import com.github.springtestdbunit.DbUnitTestExecutionListener;
import com.github.springtestdbunit.TransactionDbUnitTestExecutionListener;
import com.github.springtestdbunit.annotation.DatabaseSetup;
import com.github.springtestdbunit.annotation.ExpectedDatabase;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.test.annotation.Rollback;
import org.springframework.test.context.ContextConfiguration;
import org.springframework.test.context.TestExecutionListeners;
import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;
import org.springframework.test.context.support.DependencyInjectionTestExecutionListener;
import org.springframework.test.context.support.DirtiesContextTestExecutionListener;
import org.springframework.test.context.transaction.TransactionalTestExecutionListener;
import org.springframework.transaction.annotation.Transactional;
#RunWith(SpringJUnit4ClassRunner.class)
#ContextConfiguration(classes = {PersistenceContext.class})
#TestExecutionListeners({ DependencyInjectionTestExecutionListener.class,
DirtiesContextTestExecutionListener.class,
TransactionalTestExecutionListener.class,
DbUnitTestExecutionListener.class })
#DatabaseSetup("todoData.xml")
public class ITTodoRepositoryTest {
#Autowired
private TodoRepository repository;
#Test
#Transactional
#ExpectedDatabase("toDoData-update.xml")
public void updateTitle_ShouldUpdateTitle() {
repository.updateTitle(1L, "FooBar");
}
}
After I run the integration test, the test passes and the title of the todo entry is updated. The only problem which I am having is that the version field is not updated. Any ideas why?
I undestand that this description is a bit vague. If you want to get more information about writing integration tests for Spring Data JPA repositories, you can read my blog post about it.
The underlying problem here is the 1st level cache of JPA.
From the JPA spec Version 2.2 section 3.1. emphasise is mine:
An EntityManager instance is associated with a persistence context. A persistence context is a set of entity instances in which for any persistent entity identity there is a unique entity instance.
This is important because JPA tracks changes to that entity in order to flush them to the database.
As a side effect it also means within a single persistence context an entity gets only loaded once.
This why reloading the changed entity doesn't have any effect.
You have a couple of options how to handle this:
Evict the entity from the EntityManager.
This may be done by calling EntityManager.detach, annotating the updating method with #Modifying(clearAutomatically = true) which evicts all entities.
Make sure changes to these entities get flushed first or you might end up loosing changes.
Use EntityManager.refresh().
Use a different persistence context to load the entity.
The easiest way to do this is to do it in a separate transaction.
With Spring this can be done by having separate methods annotated with #Transactional on beans called from a bean not annotated with #Transactional.
Another way is to use a TransactionTemplate which works especially nicely in tests where it makes transaction boundaries very visible.
I struggled with the same problem where I was trying to execute an update query like the same as you did-
#Modifying
#Transactional
#Query(value = "UPDATE SAMPLE_TABLE st SET st.status=:flag WHERE se.referenceNo in :ids")
public int updateStatus(#Param("flag")String flag, #Param("ids")List<String> references);
This will work if you have put #EnableTransactionManagement annotation on the main class.
Spring 3.1 introduces the #EnableTransactionManagement annotation to be used in on #Configuration classes and enable transactional support.

Java swing - JTable - Sub-tables / grouping - can it be done?

Maybe I'm not looking hard enough, but i'm having trouble finding a Java swing table example that has sub-groups.
Something Like:
| Table header 1 | Table header 2 | Table header 3 |
| Group A |
| Group A Col11 | | Group A Col12 | | Group A Col13 |
| Group A Col21 | | Group A Col22 | | Group A Col23 |
| Group B |
| Group B Col11 | | Group B Col2 | | Group A Col3 |
....
Can this sort of thing be done with Java Swing tables?
First, let's set up a simple Java Swing JTable test.
With the data arranged like this, all we have to do is change the duplicate Group data values to spaces.
We do that by creating a table model for the JTable.
First, here's the code to create the JFrame.
import javax.swing.JFrame;
import javax.swing.JScrollPane;
import javax.swing.JTable;
import javax.swing.SwingUtilities;
public class JTableFrame implements Runnable {
#Override
public void run() {
JFrame frame = new JFrame("JTable Test");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
JTableModel model = new JTableModel();
JTable table = new JTable(model.getModel());
JScrollPane scrollPane = new JScrollPane(table);
frame.add(scrollPane);
frame.setLocationByPlatform(true);
frame.pack();
frame.setVisible(true);
}
public static void main(String[] args) {
SwingUtilities.invokeLater(new JTableFrame());
}
}
Next, here's the code to create the table model. I used a hard coded data source. You would probably get the data from somewhere.
import javax.swing.table.DefaultTableModel;
public class JTableModel {
private DefaultTableModel model;
private String[] columns = {"Group", "Alpha", "Beta", "Gamma"};
private String[][] rows = {{"Group A", "all", "box", "game"},
{"Group A", "apple", "band", "going"},
{"Group B", "alabaster", "banquet", "ghost"},
{"Group B", "alone", "boy", "ghoulish"}};
public JTableModel() {
this.model = new DefaultTableModel();
this.model.setColumnIdentifiers(columns);
setModelRows();
}
private void setModelRows() {
String prevGroup = "";
for (String[] row : rows) {
if (row[0].equals(prevGroup)) {
row[0] = " ";
} else {
prevGroup = row[0];
}
this.model.addRow(row);
}
}
public DefaultTableModel getModel() {
return model;
}
}

Categories