Orma is a ORM (Object-Relation Mapper) for Android SQLiteDatabase. Because it generates helper classes at compile time with annotation processing, its query builders are type-safe.
The interface of Orma is simple and easy to use, as the author respects the Larry Wall's wisdom:
Easy things should be easy, and hard things should be possible -- Larry Wall
- Table of Contents
- Motivation
- Requirements
- Getting Started
- Synopsis
- The Components
- Details of Database Handles
- Details of Models
- RxJava Integration
- Associations
- Type Adapters
- Pagination
- Raw Queries
- Migration
- DataSet Changed Events
- Cooperation with Serialization Libraries
- Encryption
- Example
- Benchmark
- FAQ
- Support
- Licenses in Runtime Dependencies
- Contribution
- Release Engineering for Maintainers
- See Also
- Authors and Contributors
- License
There are already a lot of ORMs for Android. Why I have to add another wheel?
The answer is that I need an ORM that has all the following features:
- Fast as hand-written code
- POJO models
- Model classes should have no restriction
- Might implement
Parcelable
and/or extend any classes - They should be passed to another thread
- A database handle must be an object instance
- Not a static-method based class
- Even though it is designed to be used as a singleton scope
- Easy migration
- Some
ALTER TABLE
, e.g.add column
anddrop column
, should be detected and processed - There is a wheel in Perl: SQL::Translator::Diff
- Some
- Type safe and code completion friendly
db.selectFromModel()
is better thannew Select(Model.class)
todos.idEq(id).toList()
is better thantodos.equalTo("id", id)
- Custom raw queries are sometimes inevitable
GROUP BY ... HAVING ...
SELECT max(value), min(value), avg(value), count(value) FROM ...
And now they are exactly what Orma has.
- JDK 8 (1.8.0_66 or later) to build
- Android API level 15 to use
Declare dependencies to use Orma and its annotation processor.
dependencies {
annotationProcessor 'com.github.maskarade.android.orma:orma-processor:6.0.2'
compile 'com.github.maskarade.android.orma:orma:6.0.2'
}
NOTE: if you use Android Gradle Plugin before 2.2.0, you must use android-apt plugin instead of annotationProcessor
configuration.
First, define model classes annotated with @Table
, @Column
, and @PrimaryKey
and run the Build APK command to generate helper classes.
package com.github.gfx.android.orma.example;
import com.github.gfx.android.orma.annotation.Column;
import com.github.gfx.android.orma.annotation.PrimaryKey;
import com.github.gfx.android.orma.annotation.Table;
import android.support.annotation.Nullable;
@Table
public class Todo {
@PrimaryKey(autoincrement = true)
public long id;
@Column(indexed = true)
public String title;
@Column
@Nullable // allows NULL (default: NOT NULL)
public String content;
@Column
public long createdTimeMillis;
}
Second, instantiate a database handle OrmaDatabase
, which is generated by orma-processor
.
Here is an example to configure OrmaDatabase
:
// See OrmaDatabaseBuilderBase for other options.
OrmaDatabase orma = OrmaDatabase.builder(context)
.name("main.db") // default: "${applicationId}.orma.db"
.build();
Then, you can create, read, update and delete models via OrmaDatabase
:
Todo todo = ...;
// create
orma.insertIntoTodo(todo);
// prepared statements with transaction
orma.transactionSync( -> { // or transactionAsync() to execute tasks in background
Inserter<Todo> inserter = orma.prepareInsertIntoTodo();
inserter.execute(todo);
});
// read
orma.selectFromTodo()
.titleEq("foo") // equivalent to `where("title = ?", "foo")`
.executeAsObservable() // first-class RxJava interface
.subscribe(...);
// update
orma.updateTodo()
.titleEq("foo")
.content("a new content") // to setup what are updated
.execute();
// delete
orma.deleteFromTodo()
.titleEq("foo")
.execute();
A database handle, named OrmaDatabase
by default, is generated by orma-processor
, which is an entry point of all the high-level database operations.
This is typically used as a singleton instance and you don't need to manage its lifecycle. That is, you don't need to explicitly close it.
A model in Orma is a Java class that is annotated with @Table
, which
has at least one column, a field annotated with @Column
or @PrimaryKey
.
orma-processor
generates helper classes for each model:
Schema
, Relation
, Selector
, Updater
, and Deleter
.
Because these helper classes are generated at the compile time, you can use Orma as a type-safe ORM.
A Schema helper, e.g. Todo_Schema
, has metadata for the corresponding model.
This is an internal helper class and not intended to be employed by users.
A Relation helper, e.g. Todo_Relation
, is an entry point of table operations.
This is created by a database handle:
public static Todo_Relation relation() {
return orma.relationOfTodo();
}
And is able to create Selector
, Updater
, Deleter
, and Inserter
for the target model.
Todo_Relation todos = orma.relationOfTodo();
todos.selector().toList(); // Todo_Selector
todos.updater().content("foo").execute(); // Todo_Updater
todos.inserter().execute(todo); // Inserter<Todo>
todos.deleter().execute(); // Todo_Deleter
This can be a subset of a table which has ORDER BY
clauses and WHERE
clauses with some List
-like methods:
Todo_Relation todos = orma.relationOfTodo()
.doneEq(false) // can have conditions
.orderByCreatedTimeMillis(); // can have orders
// List-like features:
int count = todos.count();
Todo todo = todos.get(0);
// Convenience utilities
int position = todos.indexOf(todo);
todos.deleteWithTransactionAsObservable()
.subscribeOn(Schedulers.io())
.observeOn(AndroidSchedulers.mainThread())
.subscribe(position -> {
notifyItemRemoved(position); // assumes Adapter#notifyItemRemoved()
})
todos.truncateWithTransactionAsObservable()
.subscribeOn(Schedulers.io())
.subscribe();
// Todo_Relation implements Iterable<Todo>
for (Todo todo : todos) {
// ...
}
And has convenience #upsert()
to "save it anyway", returning a new model:
Todo_Relation todos = orma.relationOfTodo()
Todo newTodo = todos.upsert(todo); // INSERT if it's not persistent; UPDATE Otherwise
Unlike INSERT
with OnConflict.REPLACE
, #upsert()
doesn't break associations.
NOTE: if you use a model after #upsert()
, you must use the returned newModel
.
This is because Orma does not change the model's primary key on INSERT
.
A Selector
helper, e.g. Todo_Selector
, is created by a Relation
:
Todo_Selector selector = relation().selector();
// or orma.selectFromTodo();
This is a query builder for SELECT ... FROM *
statements.
An Updater
helper, e.g. Todo_Updater
, is created by a Relation
:
Todo_Updater updater = relation().updater();
// or orma.updateTodo();
This is a query builder for UPDATE *
statements.
A Deleter
helper, e.g. Todo_Deleter
, is created by a Relation
:
Todo_Deleter deleter = relation().deleter();
// or orma.deleteFromTodo();
This is a query builder for DELETE FROM *
statements.
There are Query Helpers which are generated to query conditions and orders in a type-safe way.
For example, titleEq()
shown in the synopsis section, are generated to help make WHERE
and ORDER BY
clauses,
for Relation
, Selector
, Deleter
, and Updater
.
Most of them are generated for columns with indexed = true
, and some are for @PrimaryKey
columns.
Here is a list of Query Helpers that are generated for all the indexed
columns, where *
is a column name pladeholder:
Method | SQL |
---|---|
*Eq(value) |
* = value |
*NotEq(value) |
* <> value |
*In(values) |
* IN (values) |
*NotIn(values) |
* NOT IN (values) |
The following are generated for @Nullable
columns.
Method | SQL |
---|---|
*IsNull() |
* IS NULL |
*IsNotNull() |
* IS NOT NULL |
The following are generated for numeric columns
(i.e. byte
, short
, int
, long
, float
, double
, and their corresponding box types)
Method | SQL |
---|---|
*Lt(value) |
* < value |
*Le(values) |
* <= value |
*Gt(value) |
* > value |
*Ge(value) |
* >= value |
*Between(a, b) |
* BETWEEN a AND b |
The following are generated for TEXT
and not PRIMARY KEY
columns.
Method | SQL |
---|---|
*Glob(pattern) |
* GLOB pattern |
*NotGlob(pattern) |
* NOT GLOB pattern |
*Like(pattern) |
* LIKE pattern |
*NotLike(pattern) |
* NOT LIKE pattern |
And ORDER BY
helpers:
Method | SQL |
---|---|
orderBy*Asc() |
ORDER BY * ASC |
orderBy*Desc() |
ORDER BY * DESC |
This is an advanced setting for those who know what they do.
You can control which Query Helpers are generated for a column by @Column(helpers = ...)
attribute:
@Column(
helpers = Column.Helpers.AUTO // default to AUTO
)
Here are the definition of options defined in Column.java:
long AUTO = -1; // the default, a smart way
long NONE = 0;
long CONDITION_EQ = 0b01;
long CONDITION_NOT_EQ = CONDITION_EQ << 1;
long CONDITION_IS_NULL = CONDITION_NOT_EQ << 1;
long CONDITION_IS_NOT_NULL = CONDITION_IS_NULL << 1;
long CONDITION_IN = CONDITION_IS_NOT_NULL << 1;
long CONDITION_NOT_IN = CONDITION_IN << 1;
long CONDITION_LT = CONDITION_NOT_IN << 1;
long CONDITION_LE = CONDITION_LT << 1;
long CONDITION_GT = CONDITION_LE << 1;
long CONDITION_GE = CONDITION_GT << 1;
long CONDITION_BETWEEN = CONDITION_GE << 1;
long CONDITIONS = CONDITION_EQ | CONDITION_NOT_EQ | CONDITION_IS_NULL | CONDITION_IS_NOT_NULL
| CONDITION_IN | CONDITION_NOT_IN
| CONDITION_LT | CONDITION_LE | CONDITION_GT | CONDITION_GE | CONDITION_BETWEEN;
long ORDER_IN_ASC = CONDITION_BETWEEN << 1;
long ORDER_IN_DESC = ORDER_IN_ASC << 1;
long ORDERS = ORDER_IN_ASC | ORDER_IN_DESC;
long ALL = CONDITIONS | ORDERS;
This is a prepared statement for INSERT INTO ...
for bulk insertions.
Inserter<Todo> inserter = relation().inserter();
// or orma.insertIntoTodo()
inserter.execute(todo);
inserter.executeAll(todos);
The section describes the details of database handles.
The database class is configured by the @Database
annotation:
@Database(
databaseClassName = "OrmaDatabase", // default to "OrmaDatabase"
includes = { /* ... */ } // Give model classes to handle
excludes = { /* ... */ } // Give model classes not to handle
)
public class DatabaseConfiguration { }
The annotated class is not used for now, but the package is used to place the OrmaDatabase class.
OrmaDatabase.builder(Context)
returns a builder isntance, which
has configure the database handle instance:
Method | Description | Default |
---|---|---|
name(String) |
The filename of SQLite DB | "${package}.orma.db" |
migrationEngine(MigrationEngine) |
Custom migration engine | OrmaMigration |
writeAheadLogging(boolean) |
SQLite WAL flag | true |
foreignKeys(boolean) |
SQLite FOREIGN_KEYS flag | true |
migrationStep(int, ManualStepMigration.Step) |
A migration step | none |
trace(boolean) |
Output executed queries to logcat if true | dynamic (*1) |
readOnMainThread(AccessThreadConstraint) |
Check read operation on main thread | dynamic (*2) |
writeOnMainThread(AccessThreadConstraint) |
Check write operation on main thread | dynaimc (*3) |
- *1
BuildConfig.DEBUG ? true : false
- *2
BuildConfig.DEBUG ? WARN : NONE
- *3
BuildConfig.DEBUG ? FATAL : NONE
Note that Orma aborts if writing occurs on main thread in debug build.
Use background threads, e.g. via AsyncTask
for writing, or RxJava interfaces with Schedulers.io()
.
Otherwise you can disable this behavior:
OrmaDatabase orma = OrmaDatabase.builder(context)
.writeOnMainThread(AccessThreadConstraint.NONE)
.build();
You can create in-memory databases by passing null
to OrmaDatabase.Builder#name()
.
This is useful for testing.
The section describes the details of model definition.
Orma can use getters and setters if columns have corresponding methods.
You can also connect getters and setters with @Getter
and @Setter
respectively, which tells orma-processor
to use accessors.
Each accessor name can have a column name in SQLite databases, which is inferred from its method name if omitted.
@Table
public class KeyValuePair {
static final String kKey = "Key";
@Column(kKey) // specifies the name
private String key;
@Column // omits the name
private String value;
@Getter(kKey)
public String getKey() {
return key;
}
@Setter(kKey)
public void setKey(String key) {
this.key = key;
}
// used as a getter for the "value" column
// @Getter is optional in this case
public String getValue() {
return value;
}
// used as a setter for the "value" column
// @Setter is optional in this case
public void setValue(String value) {
this.value = value;
}
}
Immutable models, where all the fields are declared with final
, are supported
by annotating a constructor with @Setter
.
@Table
public class KeyValuePair {
@Column
public final String key;
@Column
public final String value;
@Setter
KeyValuePair(String key, String value) {
this.key = key;
this.value = value;
}
}
It can be declared with custom names:
@Table
public class KeyValuePair {
static final String kKey = "Key";
static final String kValue = "Value";
@Column(kKey)
public final String key;
@Column(kValue)
public final String value;
KeyValuePair(@Setter(kKey) String key, @Setter(kValue) String value) {
this.key = key;
this.value = value;
}
}
There is the indexes
parameter that @Table
takes
in order to create composite indexes (a.k.a. multi-column indexes).
// for CREATE INDEX:
@Table(indexes = @Index(value = {"resourceType", "resourceId"}))
public class Entry {
@PrimaryKey
public long id;
@Column
public String resourceType;
@Column
public long resourceId;
}
// for CREATE UNIQUE INDEX:
@Table(
indexes = @Index(
value = {"resourceType", "resourceId"},
unique = true
)
)
public class Entry {
@PrimaryKey
public long id;
@Column
public String resourceType;
@Column
public long resourceId;
}
Composite indexes generate query helper methods only for ==
and ORDER BY
for helper classes like the following:
Selector#resourceTypeAndResourceIdEq(String, long)
Selector#orderByResourceTypeAndResourceIdAsc()
Selector#orderByResourceTypeAndResourceIdDesc()
You can control generated helpers with the helpers
parameter.
See also Query Helper Methods.
Column names starting $
are reserved for metadata.
Other names, including SQLite keywords, are allowed.
RxJava integration provides a set of powerful API to transform, filter, and combine DB rows.
For example, there is a model named Book
with @Column(unique = true) String title
and you'd like to get a Map<String, Book>
where the key is Book#title
:
Map<String, Book> map = db.selectFromBook()
.executeAsObservable()
.toMap(new Function<Book, String>() {
@Override
public String apply(Book book) throws Exception {
return book.title;
}
}).blockingGet();
Two or more Orma models can be associated with association mechanism.
There are two type of associations: has-one and has-many.
In addition, there are another two kind of association supports: indirect associations with SingleAssociation<T>
and direct associations.
There is SingleAssociation<T>
to support has-one associations, which is retrieved on demand; this is useful if the associations are not always used.
For example, a book has a publisher:
@Table
class Publisher {
@PrimaryKey
public long id;
}
@Table
class Book {
@Column
public SingleAssociation<Publisher> publisher;
}
To save this a book:
Book book = new Book();
Publisher publisher = new Publisher();
long publisherId = db.insertIntoPublisher()
.execute(publisher);
// if publisher has a valid primary key, `just(publisher)` is also okay.
book.publisher = SingleAssociation.just(publisherId);
db.insertIntoBook()
.execute(book)
To get a publisher from books:
db.selectFromBook()
.forEach((book) -> {
// blocking:
Publisher publisher = book.publisher.get();
// with RxJava Single<Publisher>:
book.publisher.single()
.subscribe((publisher) -> {
// use publisher
})
});
There are direct associations, where an Orma model has another Orma model directly.
Given a has-one
association, Book has-one Publisher
:
@Table
class Publisher {
@PrimaryKey
public long id;
@Column
public String name;
}
@Table
class Book {
@PrimaryKey
public long id;
@column
public String title;
@Column
public Publisher publisher;
}
The corresponding table definition is something like this:
CREATE TABLE `Publisher` (
`id` INTEGER PRIMARY KEY,
`name` TEXT NOT NULL
)
CREATE TABLE `Book` (
`id` INTEGER PRIMARY KEY,
`title` TEXT NOT NULL,
`publisher` INTEGER NOT NULL
REFERENCES `Publisher`(`id`) ON UPDATE CASCADE ON DELETE CASCADE
)
In SQL, Book#publisher
refers Publisher#id
, indicating the two tables
should be joined in SELECT
statements.
In Java, Book#publisher
is a Publisher
instance, which is retrieved in each
SELECT
operations. There is no lazy loading in direct associations.
Has-many associations are not directly supported but you can define a method to get associated objects:
@Table
class Publisher {
@PrimaryKey
public long id;
// NOTE: If OrmaDatabase is a singleton, no parameter is required!
public Book_Relation getBooks(OrmaDatabase db) {
return db.relationOfBook().publisherEq(this);
}
}
@Table
class Book {
@Column(indexed = true)
public SingleAssociation<Publisher> publisher;
}
As SingleAssociation
is, you can define a helper method to get has-many associations:
@Table
class Publisher {
@PrimaryKey
public long id;
// NOTE: If OrmaDatabase is a singleton, no parameter is required!
public Book_Relation getBooks(OrmaDatabase db) {
return db.relationOfBook().publisherEq(this);
}
}
@Table
class Book {
@Column(indexed = true)
public Publisher publisher;
}
- There are no methods to query associated models
These issues will be fixed in a future.
Orma models are able to have embedded objects with type adapters, a.k.a. static type adapters,
by defining classes with @StaticTypeAdapter
annotation.
For example, if you want to embed LatLng in your Orma model, you can define a type adapter like this:
@StaticTypeAdapter(
targetType = LatLng.class, // required
serializedType = String.class // required
)
public class LatLngAdapter {
// SerializedType serialize(TargetType source)
@NonNull
public static String serialize(@NonNull LatLng source) {
return source.latitude + "," + source.longitude
}
// TargetType deserialize(SerializedType serialized)
@NonNull
public static LatLng deserialize(@NonNull String serialized) {
String[] values = serialized.split(",");
return new LatLng(
Double.parseDouble(values[0]),
Double.parseDouble(values[1]));
}
}
@StaticTypeAdapter
requires targetType
and serializedType
options and two static methods SerializedType serialize(TargetType)
and TargetType deserialize(SerializedType)
.
A @StaticTypeAdapter#serializedType
is bound to an SQLite storage type.
Thus it must be one of the "Java Type" listed the table below, where each "Java Type" has a corresponding "SQLite Type":
Java Type | SQLite Type |
---|---|
int | INTEGER |
short | INTEGER |
long | INTEGER |
boolean | INTEGER |
float | REAL |
double | REAL |
String | TEXT |
byte[] | BLOB |
You can also define multiple type serializers to single class with @StaticTypeAdapters
annotation containers:
@StaticTypeAdapters({
@StaticTypeAdapter(
targetType = MutableInt.class,
serializedType = int.class,
serializer = "serializeMutableInt",
deserializer = "deserializeMutableInt"
),
@StaticTypeAdapter(
targetType = MutableLong.class,
serializedType = long.class,
serializer = "serializeMutableLong",
deserializer = "deserializeMutableLong"
)
})
public class TypeAdapters {
public static int serializeMutableInt(@NonNull MutableInt target) {
return target.value;
}
@NonNull
public static MutableInt deserializeMutableInt(int deserialized) {
return new MutableInt(deserialized);
}
public static long serializeMutableLong(@NonNull MutableLong target) {
return target.value;
}
@NonNull
public static MutableLong deserializeMutableLong(long deserialized) {
return new MutableLong(deserialized);
}
}
There are built-in type adapters for typically used value objects and collections:
java.math.BigDecimal
java.math.BigInteger
java.nio.ByteBuffer
java.util.Currency
java.util.Date
java.sql.Date
java.sql.Time
java.sql.Timestamp
java.util.UUID
java.util.List<String>
java.util.ArrayList<String>
java.util.Set<String>
java.util.HashSet<String>
android.net.Uri
If your deserialize()
takes a Class<T>
parameter, the type serializer is generic, handling classes with the common base classe.
For example, if you have some enums that implement EnumDescription
, e.g. T extends Enum<T> & EnumDescription
, you can handle it with a generic type adapter.
Given an interface EnumDescription
:
public interface EnumDescription {
long getValue();
}
And here is its type adapter:
@StaticTypeAdapter(
targetType = EnumDescription.class,
serializedType = long.class
)
public class EnumTypeAdapter {
public static <T extends Enum<T> & EnumDescription> long serialize(@NonNull T value) {
return value.getValue();
}
@NonNull
public static <T extends Enum<T> & EnumDescription> T deserialize(long serialized, @NonNull Class<T> type) {
for (T enumValue : type.getEnumConstants()) {
if (enumValue.getValue() == serialized) {
return enumValue;
}
}
throw new RuntimeException("Unknown id: " + serialized + " for " + type);
}
}
Now deserialize()
uses the type information for the conclete target class.
There are two style pagination. You can use either, but not mixed.
SQL style pagination:
for (Todo todo : orma.selectFromTodo().titleEq("buy").offset(0).limit(10)) {
// ...
}
"paging" style pagination inspired from Ruby's kaminari.
for (Todo todo : orma.selectFromTodo().titleEq("buy").page(1).per(10)) {
// ...
}
Note that page
starts from 1.
For low-level operations, e.g. executing a raw query, you can use
OrmaDatabase#getConnection()
, which returns OrmaConnection
.
For example of #rawQuery
:
Cursor cursor = db.getConnection().rawQuery("SELECT max(bookId) as max_id, min(bookId) as min_id FROM Book");
cursor.moveToFirst();
// ...get data from cursor...
cursor.close();
Or, you can use #execSQL
for mutations:
OrmaConnection conn = db.getConnection();
conn.execSQL("VACUUM");
conn.execSQL("ANALYZE");
NOTE: Don't use #rawQuery()
for performance because Orma query builders are fast enough.
There is a pluggable migration mechanism via the MigrationEngine
interface.
The default migration engine is SchemaDiffMigration
, which handles
schema changes by making diff with old and new DDL stored in sqlite_master
.
That is, you don't need migration steps for the following cases:
- Adding tables
- Adding columns (In this case, you need to add
defaultExpr
or@Nullable
to new columns for auto-migration to work) - Changing column types
- Changing column constraints (
NOT NULL
,UNIQUE
, and etc.)
You can also define migration steps for each schema version, which uses applications version code (i.e. BuildConfig.VERSION
) as schema versions.
Here is an example to define migration steps:
int VERSION_2; // a past version of application's VERSION_CODE
OrmaDatabase orma = OrmaDatabase.builder(this)
.migrationStep(VERSION_2, new ManualStepMigration.ChangeStep() {
@Override
public void change(@NonNull ManualStepMigration.Helper helper) {
Log.(TAG, helper.upgrade ? "upgrade" : "downgrade");
helper.execSQL("DROP TABLE foo");
helper.execSQL("DROP TABLE bar");
}
})
// ... other configurations
.build();
See migration/README.md for details.
NOTE: This is experimental in v4.2.5: its existence, signature or behavior might change without warning from one release to the next.
Relation#createQueryObservable()
can create a event stream to observe data-set changed events for the relation.
This likes SQLBrite's' "Query Observable", whereas Orma's does not notify the initial event.
// NOTE: Keep the observable instance. If it's released, the observable is disposed.
// create a query observable, which is a hot observable
Observable<Author_Selector> observable = db.relationOfAuthor()
.createQueryObservable();
// subscribe the events
observable.flatMap(new Function<Author_Selector, Observable<Author>>() {
@Override
public Observable<Author> apply(Author_Selector selector) throws Exception {
Log.d(TAG, "Author has been changed!");
return selector.executeAsObservable();
}
})
.map(new Function<Author, String>() {
@Override
public String apply(Author author) throws Exception {
return author.name;
}
})
.subscribe(new Consumer<String>() {
@Override
public void accept(String name) throws Exception {
Log.d(TAG, "name: " + name);
}
});
See OrmaListAdapter
and OrmaRecyclerViewAdapter
, which use Query Observables to
trigger #notifyDataSetChanged()
.
Beause Orma reuqires nothing to do to models, serializers, e.g. Android Parcels or GSON, can serialize Orma models.
There's an encryption extension as orma-encryption
since Orma v5.0.0-rc1:
dependencies {
compile 'com.github.maskarade.android.orma:orma-encryption:6.0.2'
}
That provies EncryptedDatabase
:
String password = "...";
OrmaDatabase orma = OrmaDatabase.builder(context)
.provider(new EncryptedDatabase.Provider(password))
// ...
.build();
Encrypted databases are managed by SQLCipher, so the database files are not compatible with non-encrypted ones.
Note that with this extension the database handle throws net.sqlcipher.database.SQLException
instead of android.database.SQLException
as runtime exceptions, so it might not be 100% compatible with the default database.
There is an example app to demonstrate:
- Migration
- Orma with
RecyclerView
/ListView
- Benchmark (see below)
There is a simple benchmark with Realm and hand-written SQLiteDatabase code:
Here is a result performed on Android 6.0.2 / Xperia Z4 as of Orma v4.2.5 and Realm 2.3.0, processing 10 items x 100 times:
I welcome benchmark in another condition and/or another code.
Call OrmaDatabase.Builder#trace(boolean)
with true
:
OrmaDatabase orma = OrmaDatabase.builder(context)
.trace(true)
.create();
This option also enables logging in the default migration engine.
If you give a custom migration engine to the orma builder, you have to enable
trace
flag to its constructor:
boolean trace = true;
SchemaDiffMigration migration = new SchemaDiffMigration(context, trace);
As other annotation processors do, Orma save files to $modle/build/generated/source/apt/
.
You can see generated files for example models.
Yes, but it's experimental. Here is an example to use Orma with Kotlin:
https://github.com/gfx/OrmaWithKotlin
NOTE: Kotlin APT support, a.k.a. kapt, is really unstable. Don't ask me how to solve kapt problems.
Orma opens the database handle in instantiating OrmaDatabase
, and you don't need to
close it.
In other word, you can define the database handle as a singleton instance in your application scope,
and forget close
.
Here is a list of open-source Androdi apps using Orma which are released to Google Play:
Or you can search use cases by GitHub search.
Also, here is a list of apps using Orma which are proprietary:
Tell me if your projects use Orma!
- Use GitHub issues for the issue tracker
- Feel free to ask for questions to the author @__gfx__
- Gitter Rooms:
- https://github.com/ReactiveX/RxJava - Apache Software License 2.0
- bkiers/sqlite-parser - The MIT License
- The original code of SQLite.g4
Patches are welcome!
./gradlew bumpMajor # or bumpMinor / bumpPatch
code CHANGES.md # edit change logs
git add -va
make publish # run tests, build artifacts, publish to jcenter, and make a git tag to HEAD
Note that you have to edit VERSION
file by hand if you'd like to release release candidates.
See Makefile
for details.
Visual Studio Code (a.k.a. vscode) is recommended to edit README.md and CHANGELOG.md. Especially the ToC section is managed by AlanWalk/Markdown-TOC.
FUJI Goro (gfx).
And contributors are listed here: Contributors
If you are interested in sponsoring this project, it is really welcome, as I'll spend more time to develop this software: https://opencollective.com/android-orma
Copyright (c) 2015 FUJI Goro (gfx).
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.