Copyright © 2012 Alex Soto Bueno. Licensed under the Apache License, Version 2.0 (the "License");
2012
Table of Contents
Unit testing is a method by which the smallest testable part of an application is validated. Unit tests must follow the FIRST Rules; these are Fast, Isolated, Repeatable, Self-Validated and Timely.
It is strange to think about a JEE application without persistence layer (typical Relational databases or new NoSQL databases) so should be interesting to write unit tests of persistence layer too. When we are writing unit tests of persistence layer we should focus on to not break two main concepts of FIRST rules, the fast and the isolated ones.
Our tests will be fast if they don't access network nor filesystem, and in case of persistence systems network and filesystem are the most used resources. In case of RDBMS ( SQL ), many Java in-memory databases exist like Apache Derby , H2 or HSQLDB . These databases, as their name suggests are embedded into your program and data are stored in memory, so your tests are still fast. The problem is with NoSQL systems, because of their heterogeneity. Some systems work using Document approach (like MongoDb ), other ones Column (like Hbase ), or Graph (like Neo4J ). For this reason the in-memory mode should be provided by the vendor, there is no a generic solution.
Our tests must be isolated from themselves. It is not acceptable that one test method modifies the result of another test method. In case of persistence tests this scenario occurs when previous test method insert an entry to database and next test method execution finds the change. So before execution of each test, database should be found in a known state. Note that if your test found database in a known state, test will be repeatable, if test assertion depends on previous test execution, each execution will be unique. For homogeneous systems like RDBMS , DBUnit exists to maintain database in a known state before each execution. But there is no like DBUnit framework for heterogeneous NoSQL systems.
NoSQLUnit resolves this problem by providing a JUnit extension which helps us to manage lifecycle of NoSQL systems and also take care of maintaining databases into known state.
To run NoSQLUnit , JUnit 4.10 or later must be provided. This is because of NoSQLUnit is using Rules , and they have changed from previous versions to 4.10.
Although it should work with JDK 5 , jars are compiled using JDK 6 .
NoSQLUnit is a JUnit extension to make writing unit and integration tests of systems that use NoSQL backend easier and is composed by two sets of Rules and a group of annotations.
First set of Rules are those responsible of managing database lifecycle; there are two for each supported backend.
The first one (in case it is possible) it is the in-memory mode. This mode takes care of starting and stopping database system in " in-memory " mode. This mode will be typically used during unit testing execution.
The second one is the managed mode. This mode is in charge of starting NoSQL server but as remote process (in local machine) and stopping it. This will typically used during integration testing execution.
Second set of Rules are those responsible of maintaining database into known state. Each supported backend will have its own, and can be understood as a connection to defined database which will be used to execute the required operations for maintaining the stability of the system.
Note that because NoSQL databases are heterogeneous, each system will require its own implementation.
And finally two annotations are provided, @UsingDataSet and @ShouldMatchDataSet , (thank you so much Arquillian people for the name).
@UsingDataSet is used to seed database with defined data set. In
brief data sets are files that contain all data to be inserted to
configured database. In order to seed your database, use
@UsingDataSet
annotation, you can define it either
on the test itself or on the class level. If there is definition on
both, test level annotation takes precedence. This annotation has
two
attributes
locations
and
loadStrategy
.
With
locations
attribute you can specify
classpath
datasets location. Locations
are relative to test class location. Note that more than one dataset
can
be specified. If files are not specified explicitly, next strategy is
applied:
First searches for a file on classpath in same package of test
class with next file name,
[test class name]#[test method
name].[format]
(only if annotation is present at test
method).
If first rule is not met or annotation is defined at class
scope, next file is searched on classpath in same package of test
class,
[test class name].[default format]
.
datasets must reside into classpath and format depends on NoSQL vendor.
Second attribute provides strategies for inserting data. Implemented strategies are:
INSERT | Insert defined datasets before executing any test method. |
DELETE_ALL | Deletes all elements of database before executing any test method. |
CLEAN_INSERT | This is the most used strategy. It deletes all elements of database and then insert defined datasets before executing any test method. |
REFRESH | Insert all data defined in datasets that are not present on database. |
An example of usage:
@UsingDataSet(locations="my_data_set.json", loadStrategy=LoadStrategyEnum.REFRESH)
Sometimes it might imply a huge amount of work asserting database state directly from testing code. By using @ShouldMatchDataSet on test method, NoSQLUnit will check if database contains expected entries after test execution. As with @ShouldMatchDataSet annotation you can define classpath file location, or if it is not supplied next convention is used:
First searches for a file on classpath in same package of test
class with next file name,
[test class name]#[test method
name]-expected.[format]
(only if annotation is present at
test method).
If first rule is not met or annotation is defined at class
scope, file is searched on classpath in same package of test class,
[test class name]-expected.[default format]
.
datasets must reside into classpath and format depends on NoSQL vendor.
An example of usage:
@ShouldMatchDataSet(location="my_expected_data_set.json")
MongoDb is a NoSQL database that stores structured data as JSON-like documents with dynamic schemas.
NoSQLUnit supports MongoDb by using next classes:
In Memory |
com.lordofthejars.nosqlunit.mongodb.InMemoryMongoDb
|
Managed |
com.lordofthejars.nosqlunit.mongodb.ManagedMongoDb
|
NoSQLUnit Management |
com.lordofthejars.nosqlunit.mongodb.MongoDbRule
|
To use NoSQLUnit with MongoDb you only need to add next dependency:
Example 1. NoSqlUnit Maven Repository
<dependency> <groupId>com.lordofthejars</groupId> <artifactId>nosqlunit-mongodb</artifactId> <version>${version.nosqlunit}</version> </dependency>
Note that if you are plannig to use in-memory approach an extra dependency is required. In-memory mode is implemented using jmockmongo . JMockmongo is a new project that help with unit testing Java-based MongoDb Applications by starting an in-process Netty server that speaks the MongoDb protocol and maintains databases and collections in JVM memory. It is not a true embedded mode becuase it will starts a server, but in fact for now it is the best way to write MongoDb unit tests. As his author says it is an incomplete tool and will be improved every time a new feature is required.
During development of this documentation, current jmockmongo version was 0.0.2-SNAPSHOT. Author is imporoving version often so before using one specific version, take a look at its website .
To install add next repository and dependency :
Example 2. jmockmongo Maven Repository
<repositories> <repository> <id>thiloplanz-snapshot</id> <url>http://repository-thiloplanz.forge.cloudbees.com/snapshot/</url> </repository> </repositories>
Example 3. jmockmongo Maven Dependency
<dependency> <groupId>jmockmongo</groupId> <artifactId>jmockmongo</artifactId> <version>${mongomock.version}</version> </dependency>
Default dataset file format in MongoDb module is json .
Datasets must have next format :
Example 4. Example of MongoDb Dataset
{ "name_collection1": [ { "attribute_1":"value1", "attribute_2":"value2" }, { "attribute_3":2, "attribute_4":"value4" } ], "name_collection2": [ ... ], .... }
Notice that if attributes value are integers, double quotes are not required.
First step is defining which lifecycle management strategy is required for your tests. Depending on kind of test you are implementing (unit test, integration test, deployment test, ...) you will require an in-memory approach, managed approach or remote approach.
To configure in-memory approach you should only instantiate next rule :
To configure the
managed
way,
you should use
ManagedMongoDb
rule and may
require some configuration parameters.
Example 6. Managed MongoDb
import static com.lordofthejars.nosqlunit.mongodb.ManagedMongoDb.MongoServerRuleBuilder.newManagedMongoDbRule;
@ClassRule
public static ManagedMongoDb managedMongoDb = newManagedMongoDbRule().build();
By default managed MongoDb rule uses next default values:
MongoDb
installation directory is
retrieved from
MONGO_HOME
system environment
variable.
Target path, that is the directory where
MongoDb
server is started, is
target/mongo-temp
.
Database path is at
{target
path}
/mongo-dbpath
.
Mongodb is started with fork option.
Because after execution of tests all generated data is
removed, in
{target
path}
/logpath
will remain log
file generated by the server.
In
Windows systems
executable should be found as
bin/mongod.exe
meanwhile in
MAC
OS
and
*nix
should be found as
bin/mongod
.
ManagedMongoDb
can be created from
scratch, but for making life easier, a
DSL
is
provided using
MongoServerRuleBuilder
class.
For
example
:
Example 7. Specific Managed MongoDb Configuration
import static com.lordofthejars.nosqlunit.mongodb.ManagedMongoDb.MongoServerRuleBuilder.newManagedMongoDbRule;
@ClassRule
public static ManagedMongoDb managedMongoDb =
newManagedMongoDbRule().mongodPath("/opt/mongo").appendSingleCommandLineArguments("-vvv").build();
In
example
we are overriding
MONGO_HOME
variable (in case has
been set) and set mongo home at
/opt/mongo
.
Moreover we are appending a single argument to
MongoDb
executable, in this case setting log
level to number 3 (-vvv). Also you can append
property=value
arguments using
appendCommandLineArguments(String argumentName, String
argumentValue)
method.
when you are specifying command line arguments, remember to add slash (-) and double slash (--) where is necessary.
To stop
MongoDb
instance,
NoSQLUnit
sends a
shutdown
command to server using
Java Mongo AP
I. When this
command is sent, the server is stopped and because connection is lost,
Java Mongo API
logs automatically an exception
(read
here
information about the problem and how to "resolve" it). Do not
confuse
with a testing failure. You will see something like:
java.io.EOFException at org.bson.io.Bits.readFully(Bits.java:37) at org.bson.io.Bits.readFully(Bits.java:28) at com.mongodb.Response.<init>;(Response.java:39) at com.mongodb.DBPort.go(DBPort.java:128) at com.mongodb.DBPort.call(DBPort.java:79) at com.mongodb.DBTCPConnector.call(DBTCPConnector.java:218) at com.mongodb.DBApiLayer$MyCollection.__find(DBApiLayer.java:305) at com.mongodb.DB.command(DB.java:160) at com.mongodb.DB.command(DB.java:183) at com.mongodb.DB.command(DB.java:144) at com.lordofthejars.nosqlunit.mongodb.MongoDbLowLevelOps.shutdown(MongoDbLowLevelOps.java:44) at com.lordofthejars.nosqlunit.mongodb.ManagedMongoDb.after(ManagedMongoDb.java:157) at org.junit.rules.ExternalResource$1.evaluate(ExternalResource.java:48) at org.junit.rules.RunRules.evaluate(RunRules.java:18) at org.junit.runners.ParentRunner.run(ParentRunner.java:300) at org.apache.maven.surefire.junit4.JUnit4Provider.execute(JUnit4Provider.java:236) at org.apache.maven.surefire.junit4.JUnit4Provider.executeTestSet(JUnit4Provider.java:134) at org.apache.maven.surefire.junit4.JUnit4Provider.invoke(JUnit4Provider.java:113) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:616) at org.apache.maven.surefire.util.ReflectionUtils.invokeMethodWithArray(ReflectionUtils.java:189) at org.apache.maven.surefire.booter.ProviderFactory$ProviderProxy.invoke(ProviderFactory.java:165) at org.apache.maven.surefire.booter.ProviderFactory.invokeProvider(ProviderFactory.java:85) at org.apache.maven.surefire.booter.ForkedBooter.runSuitesInProcess(ForkedBooter.java:103) at org.apache.maven.surefire.booter.ForkedBooter.main(ForkedBooter.java:74)
Configuring remote approach does not require any special rule because you (or System like Maven ) is the responsible of starting and stopping the server. This mode is used in deployment tests where you are testing your application on real environment.
Next step is configuring
Mongodb
rule in charge of
maintaining
MongoDb
database into known state by
inserting and deleting defined datasets. You must register
MongoDbRule
JUnit
rule
class, which requires a configuration parameter with information like
host, port or database name.
To make developer's life easier and code more readable, a fluent interface can be used to create these configuration objects. Two different kind of configuration builders exist.
The first one is for configuring a connection to in-memory jmockmongo server. Default connection values are:
Host | 0.0.0.0 |
Port | 2307 |
Notice that these values are the default ones of jmockmongo project, so if you are thinking to use jmockmongo , no modifications are required.
Example 8. MongoDbRule with in-memory configuration
import static com.lordofthejars.nosqlunit.mongodb.InMemoryMongoDbConfigurationBuilder.inMemoryMongoDb;
@Rule
public MongoDbRule remoteMongoDbRule = new MongoDbRule(inMemoryMongoDb().databaseName("test").build());
The second one is for configuring a connection to remote MongoDb server. Default values are:
Host | localhost |
Port | 27017 |
Authentication | No authentication parameters. |
Example 9. MongoDbRule with managed configuration
import static com.lordofthejars.nosqlunit.mongodb.MongoDbConfigurationBuilder.mongoDb;
@Rule
public MongoDbRule remoteMongoDbRule = new MongoDbRule(mongoDb().databaseName("test").build());
Example 10. MongoDbRule with remote configuration
import static com.lordofthejars.nosqlunit.mongodb.MongoDbConfigurationBuilder.mongoDb;
@Rule
public MongoDbRule remoteMongoDbRule = new MongoDbRule(mongoDb().databaseName("test").host("my_remote_host").build());
Consider a library application, which apart from multiple operations, it allow us to add new books to system. Our model is as simple as:
Example 11. Book POJO
public class Book { private String title; private int numberOfPages; public Book(String title, int numberOfPages) { super(); this.title = title; this.numberOfPages = numberOfPages; } public void setTitle(String title) { this.title = title; } public void setNumberOfPages(int numberOfPages) { this.numberOfPages = numberOfPages; } public String getTitle() { return title; } public int getNumberOfPages() { return numberOfPages; } }
Next business class is the responsible of managing access to MongoDb server:
Example 12. Book POJO
public class BookManager { private static final Logger LOGGER = LoggerFactory.getLogger(BookManager.class); private static final MongoDbBookConverter MONGO_DB_BOOK_CONVERTER = new MongoDbBookConverter(); private static final DbObjectBookConverter DB_OBJECT_BOOK_CONVERTER = new DbObjectBookConverter(); private DBCollection booksCollection; public BookManager(DBCollection booksCollection) { this.booksCollection = booksCollection; } public void create(Book book) { DBObject dbObject = MONGO_DB_BOOK_CONVERTER.convert(book); booksCollection.insert(dbObject); } }
And now it is time for testing. In next test we are going to validate that a book is inserted correctly into database.
Example 13. Test with Managed Connection
package com.lordofthejars.nosqlunit.demo.mongodb; public class WhenANewBookIsCreated { @ClassRule public static ManagedMongoDb managedMongoDb = newManagedMongoDbRule().mongodPath("/opt/mongo").build(); @Rule public MongoDbRule remoteMongoDbRule = new MongoDbRule(mongoDb().databaseName("test").build()); @Test @UsingDataSet(locations="initialData.json", loadStrategy=LoadStrategyEnum.CLEAN_INSERT) @ShouldMatchDataSet(location="expectedData.json") public void book_should_be_inserted_into_repository() { BookManager bookManager = new BookManager(MongoDbUtil.getCollection(Book.class.getSimpleName())); Book book = new Book("The Lord Of The Rings", 1299); bookManager.create(book); } }
In
previous
test
we have defined that
MongoDb
will be managed by
test by starting an instance of server located at
/opt/mongo
. Moreover we are setting an
initial
dataset in file
initialData.json
located at classpath
com/lordofthejars/nosqlunit/demo/mongodb/initialData.json
and
expected
dataset called
expectedData.json
.
Example 15. Expected Dataset
{ "Book": [ {"title":"The Hobbit","numberOfPages":293}, {"title":"The Lord Of The Rings","numberOfPages":1299} ] }
You can watch full example at github .
In next project release 0.3.1, a new feature will be implemented. As features @Inject will be able to be used to have access to underlying connection into tests.
Version 0.4.0 there will be support for Neo4J and Cassandra.
Next versions will contain support for HBase and CouchDb .
Email: | asotobu at gmail.com |
Blog: | Lord Of The Jars |
Twitter: | @alexsotob |
Github: | NoSQLUnit Github |