A very lightweight write only Node.js ORM, with support for:
- Microsoft SQL Server (MSSQL)
- PostgreSQL
- MySQL
- Oracle DB
- Sqlite 3
- Browser Web SQL
See changelog.md
npm install sworm
Then install a database driver, one of:
npm install mssql
npm install pg
npm install mysql
npm install oracledb
npm install sqlite3
There's no need to install a driver for Web SQL, sworm will pick it up from the window
object.
See sworm in NPM.
The features in this module are mostly for writing graphs of related entities. Querying, on the other hand, is done with raw SQL so you can do it fast. See the query API for details.
This ORM avoids some of the largest issues experienced in other ORMs:
- query performance is too opaque
- N+1 queries are frequently the default
- configuring eager and lazy loading is tricky
- one-to-many, many-to-one, many-to-many relationships are notoriously difficult to get right
- lifecycle management of sessions and identity maps is rarely pleasant
- check out the massive generated SQL statements!
Just write SQL, you know how.
var person = db.model({table: 'people'});
var address = db.model({table: 'addresses'});
var bob = person({
name: 'bob',
address: address({
address: 'Fremantle'
})
});
bob.save()
Produces:
-------- people ----------
| id | name | address_id |
--------------------------
| 11 | bob | 22 |
--------------------------
------- addresses ------
| id | address |
------------------------
| 22 | Fremantle |
------------------------
Connect:
db.connect(config? : {}, fn? : () -> Promise);
config
database connection configuration, see belowfn
if passed,connect()
will connect to the database, run the function, then disconnect. Ensure thatfn
returns a promise.
You can pass connection configuration to the sworm.db()
function, or to the db.connect()
function.
var sworm = require('sworm');
var db = sworm.db({
driver: 'pg',
config: {
user: 'user',
password: 'password',
host: 'localhost',
database: 'databasename'
}
});
var person = db.model({table: 'people'});
var bob = person({name: 'Bob'});
// sworm connects at the first database interaction
bob.save();
Or define models then connect:
var sworm = require('sworm');
var db = sworm.db();
var person = db.model({table: 'people'});
db.connect({
driver: 'mssql',
config: {
user: 'user',
password: 'password',
server: 'localhost',
database: 'databasename'
}
}).then(function () {
...
});
Or connect, run some code and then disconnect:
var sworm = require('sworm');
var db = sworm.db(config);
var person = db.model({table: 'people'});
db.connect(function () {
// connected
var bob = person({name: 'bob'});
return bob.save().then(function () {
...
});
}).then(function () {
// disconnected
});
sworm.db(options)
sworm.db(url)
-
url
, see urls for databases in respective section below -
options.driver
, one of'mssql'
,'mysql'
,'pg'
,'oracle'
,'sqlite'
or'websql'
. -
options.config
see configuration for databases in respective section below -
url
a connection URL, the following are supportedpg
-postgres://user:password@host:5432/database
. See thepg
url format.oracle
-oracle://user:password@host:1521/sid&maxRows=100000&pool=true
-
setupSession
a function that is passed thedb
to setup the session before any queries are run.setupSession: function (db) { return db.query("alter session set time_zone = 'UTC'"); }
-
log
: eithertrue
to log SQL statements withconsole.log()
Can also be a function for custom logging:
function (sql, params) { // sql == 'select * from people where name = @name' // params == {name: 'bob'} }
Defaults to
false
, no logging.
-
mysql
See: https://github.com/felixge/node-mysql#connection-options
{ driver: 'mysql', config: { user: 'username', password: 'password', host: 'localhost', database: 'database name' } }
-
mssql
See: https://github.com/patriksimek/node-mssql#configuration-1
{ driver: 'mssql', config: { user: 'username', password: 'password', server: 'localhost', database: 'databaseName' } }
-
postgres
URL:
postgres://user:password@host:5432/database
. See thepg
url format.The driver will use connection pooling if you pass
pool: true
.{ driver: 'pg', config: { user: 'username', password: 'password', host: 'localhost', database: 'database name', pool: true } }
-
oracle
URL:
oracle://user:password@host:port/sid&maxRows=100000&pool=true
See: getConnection() For
options
see Oracledb PropertiesThe driver fetches
maxRows
rows at a time, defaulting to 100. You may want to adjust this value if you expect large result sets, higher values can be faster but use more memory.The driver will use connection pooling if you pass
pool: true
.By default the driver is set to
autoCommit = true
, you can passoptions: { autoCommit: false}
to turn this off again.{ driver: 'oracle', config: { user: 'username', password: 'password', connectString: 'localhost/XE', pool: true, options: { // options to set on `oracledb` maxRows: 1000 } } }
The driver can also use an existing pool:
{ driver: 'oracle', config: { pool: pool // from oracledb.createPool(config, cb), options: { // options to set on `oracledb` maxRows: 1000 } } }
-
sqlite
URL:
file:///absolute/path/to/database.db
orrelative/path/to/database.db
See: https://github.com/mapbox/node-sqlite3/wiki/API#new-sqlite3databasefilename-mode-callback
{ driver: 'sqlite', config: { filename: 'filename or :memory:' } }
-
websql
URL:
websql:///db-name
ordb-name
{ driver: 'websql', config: { name: 'db-name', // the `openDatabase` function to connect to the DB, defaulting to `window.openDatabase` openDatabase: window.openDatabase, // dababase size, defaulting to 5M size: 5 * 1024 * 1024 } }
Close the connection after use:
db.close()
This module uses debug, so you can easily see what's happening under the hood by setting a DEBUG
environment variable.
DEBUG=sworm node myapp.js
There are various schemes you can use:
sworm
all queriessworm:results
all resultssworm:mssql
exact query passed to mssqlsworm:mysql
exact query passed to mysqlsworm:pg
exact query passed to postgressworm:oracle
exact query passed to oraclesworm:sqlite
exact query passed to sqlite3sworm:websql
exact query passed to websql
var createEntity = db.model(options);
createEntity
is a function that can be used to create entities from the model.
options
can contain the following:
-
table
(undefined
) the name of the table to save entities to -
id
('id'
) the name of the identity column. This can be an array of id columns for compound keys, orfalse
if there is no id column. -
foreignKeyFor
a function that returns a foreign key field name for a member (see Relationships), defaults to:function foreignKeyFor(fieldName) { return fieldName + '_id'; }
-
for oracle
idType
(oracledb.NUMBER
) is the type of the identity column, for e.g.oracledb.STRING
. -
for mssql
generatedId
(scope_identity
) is the method to get the generated id for insert statements:scope_identity
usesscope_identity()
to get the generated id, this is the default.output
usesoutput inserted.id
to get the generated id. This will work foruniqueidentifier
column types but is not compatible with tables that have triggers.
Any other properties or functions on the options
object are accessible by entities.
var address = db.model({
table: 'addresses',
addPerson: function(person) {
this.people = this.people || [];
person.address = this;
this.people.push(person);
}
});
var fremantle = address({address: 'Fremantle'});
fremantle.addPerson(person({name: 'bob'}));
The entity constructor takes an object with fields to be saved to the database.
var person = db.model({...});
var bob = person({
name: 'bob'
}, [options]);
Where options can have:
saved
: iftrue
willupdate
the entity (if modified) on the nextsave()
, iffalse
willinsert
the entity on the nextsave()
. Defaultfalse
.modified
: iftrue
(and ifsaved
is true), willupdate
the entity on the nextsave()
regardless if it has been modified.
var promise = entity.save([options]);
Inserts or updates the entity into the table. If the entity already has a value for its identity column, then it is updated, if not, it is inserted.
Objects know when they've been modified since their last insert or update, so they won't update unless a field is modified. You can force an update by passing {force: true}
.
save()
returns a promise.
entity.identity()
Returns the ID of the entity, based on the identity column specified in the model.
entity.changed()
Returns true if the object has been modified since the last save()
.
Entities can contain fields that are other entities. This way you can build up graphs of entities and save them all in one go.
When entity A contains a field that is entity B, then B will be saved first and B's ID will be set and saved with A.
The foreign key of the member will be saved on the field name member_id
. So address
will have a foreign key of address_id
. See the foreignKeyFor
option in Models.
var person = db.model({table: 'people'});
var address = db.model({table: 'addresses'});
var bob = person({
name: 'bob',
address: address({
address: "15 Rue d'Essert"
})
});
bob.save().then(function () {
assert(bob.address_id == address.id);
});
Alternatively, you can specify the objects the other way around, the address on the outside (see one-to-many for how this works):
var essert = address({
address: "15 Rue d'Essert",
person: (address) => [
person({
name: 'bob',
address: address
})
]
})
essert.save()
In SQL:
-------- people ----------
| id | name | address_id |
--------------------------
| 11 | bob | 22 |
--------------------------
------- addresses ------
| id | address |
------------------------
| 22 | 15 Rue d'Essert |
------------------------
When entity A contains a field that is an array that contains entities B and C. Then entity A will be saved first, followed by all entities B and C.
This allows entities B and C to refer to entity A, as they would in their tables.
var person = db.model({ table: 'people' });
var address = db.model({ table: 'addresses' });
var bob = person({name: 'bob'});
var jane = person({name: 'jane'});
var essert = address({
address: "15 Rue d'Essert",
people: [bob, jane]
});
bob.address = essert;
jane.address = essert;
essert.save().then(function () {
// all objects saved.
});
Alternatively, we can return the people in the address using a function. When the address is saved, the people
function will be called with the owner address as the first argument, then we can set the foreign key for the people. Following the save()
the results of the function will be saved as an array on the object.
var person = db.model({ table: 'people' });
var address = db.model({ table: 'addresses' });
var essert = address({
address: "15 Rue d'Essert",
people: (addr) => [
person({ name: 'bob', address: addr }),
person({ name: 'jane', address: addr })
]
});
essert.save().then(function () {
// all objects saved.
// essert.people == [{name: 'bob', ...}, {name: 'jane', ...}]
});
Notice that whether we use an array or a function, the field itself is never saved to the database, only the entities inside the array.
In SQL:
-------- people ----------
| id | name | address_id |
--------------------------
| 11 | bob | 22 |
| 12 | jane | 22 |
--------------------------
------- addresses ------
| id | address |
------------------------
| 22 | 15 Rue d'Essert |
------------------------
Many-to-many is just a combination of one-to-many and many-to-one:
var db = sworm.db('test/test.db')
var person = db.model({ table: 'people' });
var personAddress = db.model({ table: 'people_addresses', id: ['address_id', 'person_id'] });
var address = db.model({ table: 'addresses' });
var bob = person({name: 'bob'});
var jane = person({name: 'jane'});
var fremantle = address({
address: 'Fremantle',
personAddresses: (address) => [
personAddress({ person: bob, address: address }),
personAddress({ person: jane, address: address })
]
});
var essert = address({
address: "15 Rue d'Essert",
personAddresses: (address) => [
personAddress({ person: jane, address: address })
]
});
Promise.all([essert.save(), fremantle.save()]);
In SQL:
-- people ---
| id | name |
-------------
| 11 | bob |
| 12 | jane |
-------------
------- addresses ------
| id | address |
------------------------
| 22 | 15 Rue d'Essert |
| 23 | Fremantle |
------------------------
---- people_addresses ----
| address_id | person_id |
--------------------------
| 22 | 12 |
| 23 | 12 |
| 23 | 11 |
--------------------------
In summary, a relationship can be a field containing one of the following:
-
a sworm entity
outer({ field: inner({ ... }) })
- the entity is saved
- the ID is placed in the outer entity's
field_id
field. (SeeforeignKeyFor
) - the outer entity is saved
-
an array of sworm entities
outer({ field: [ inner({ ... }), inner({ ... }) ] })
- the outer entity is saved
- each of the entities in the array are saved
-
a function that returns an array of sworm entities
outer({ field: (outer) => [ inner({ outer: outer, ... }), inner({ outer: outer, ... }) ] })
- the outer entity is saved
- the function is called, passing the outer entity as the first argument
- the function returns an array of entities
- each of those entities are saved
- the array is assigned to the outer entity's field
It's sometimes useful to pass in some real unescaped SQL, for this you can use sworm.unescape()
for model values or query parameters.
Usual qualifiers apply here: when using this feature, make sure to protect your application from SQL injection by properly escaping strings with sworm.escape()
or by being extra careful!
For example, you can pass in an array of values for an in (...)
statement:
db.query('select * from people where names in (@names)', {names: sworm.unescape("'bob', 'jane'")})
will become
select * from people where names in ('bob', 'jane')
These parameters are not passed to the database driver.
This is also useful for handling differences in database drivers, such as sysdate
or now
:
db.query(
'select * from people where subscription_date < @now',
{now: sworm.unescape(usingSqlite? "date('now')": "now()")},
)
Or, to refer to SQL features when inserting, such as sequences in oracle:
person({id: sworm.unescape('sequence.nextVal'), name: 'bob'}).save()
Use sworm.escape(string)
to escape strings.
db.query(sql, [parameters]).then(function (records) {
});
Where:
sql
is the SQL query, can be a query (i.e. select), or a command (update, insert, stored proc)parameters
. Ifsql
contains parameters in the form of@paramName
the corresponding property on theparameters
object will be substituted into the SQL, doing any escaping necessary.
For select queries, returns an array of objects, containing the fields of each record.
db.query('select * from people where name = @name', {name: 'Bob'}).then(function (results) {
console.log(results);
/*
[
{id: 2, name: 'Bob'}
]
*/
});
db.query('myProcName @param1, @param2', {param1: 'a', param2: 'b'});
model.query(sql, [parameters]).then(function (entities) {
});
Same as db.query()
but records returned are turned into entities of the model that can subsequently be modified and saved.
person.query('select * from people where id = @id', {id: 1}, function (people) {
var bob = people[0];
bob.name = 'Jack';
return bob.save();
});
Statements are just like queries but they don't bother to parse or log the results.
db.statement(query, [params, [options]]);
You can explicitly insert
, update
or upsert
a record:
var bob = person({name: 'bob'})
bob.insert()
// insert into people (name) values ('bob')
var bob = person({name: 'bob', id: 4})
bob.update()
// update people set name = 'bob' where id = 4
Upsert works by detecting the presence of an id, if there is an id, it updates the record, if not it inserts it.
var bob = person({name: 'bob'})
bob.upsert()
// insert into people (name) values ('bob')
var bob = person({name: 'bob', id: 4})
bob.upsert()
// update people set name = 'bob' where id = 4
For updates, an error is thrown if there are no records found with that id, or indeed if no id is given.
You can insert update or query the database using transactions. Transactions can be used in two forms, explicitly running db.begin()
, db.commit()
and db.rollback()
, or by calling db.transaction(fn)
with a function that will commit automatically if it didn't fail.
The explicit form:
db.begin().then(() => {
var bob = person({name: 'bob'});
return bob.save();
}).then(() => {
db.rollback();
// or
db.commit();
});
The implicit form:
db.transaction(() => {
var bob = person({name: 'bob'});
return bob.save();
});
db.begin([options]);
Begin the transaction
options
a string that is appended to the database'sbegin
command, for e.g.db.begin('isolation level read committed')
will result in the sqlbegin isolation level read committed
.
db.rollback();
Rollback the transaction
db.commit();
Commit the transaction
db.transaction(options? : String, fn : () => Promise)
options
a string that is appended to the database'sbegin
command, for e.g.db.begin('isolation level read committed')
will result in the sqlbegin isolation level read committed
.fn
a function that is executed after the transaction has begun. The function is expected to return a promise, if resolved, the transaction will be committed, if rejected, the transaction will be rolled back.
db.transaction(() => {
// this transaction will be rolled back
return db.query('update people set name = @name', {name: 'jane'}).then(() => {
throw new Error('uh oh!');
});
});
db.transaction(() => {
// this transaction will be committed
return db.query('update people set name = @name', {name: 'jane'});
});
You can access the underlying driver's connection after the database has connected of course through db.driver.connection
.
You can pass options to the database driver when executing a query
db.query(sql, parameters, [options])
- SQLite3
multiline
orexec
runs theexec()
method on the connection which executes multiple lines, see exec. Note that this method ignores any queryparameters
passed in.
- Oracle
formatRows
iffalse
will not format rows as lower case and will return the raworacledb
results. Formatting rows may be a performance issue for large result sets.- any other options are passed to
oracledb
'sexecute
method.
The only thing slightly awkward about this project are the test environments for each database. I've tried to make this as easy as possible however:
- sqlite3 works out of the box on most if not all platforms
- mysql, postgres and oracle instances can be found in the
docker-compose.yml
file. Install docker, make it run somehow, then rundocker-compose up -d
. This will download and start each of the databases necessary to run the tests. The tests look for the$DOCKER_HOST
environment variable to see where the docker host is, if it's in a VM or somewhere else, otherwise the databases are expected to be on localhost, running on their default ports. - mssql is less friendly, and all I ask is that it's running on a machine called
windows
(hack your/etc/hosts
file if necessary), with a fresh database calledsworm
, with useruser
and passwordpassword
.
Each database can be tested individually by running mocha test/{mssql,mysql,postgres,oracle,sqlite}Spec.js
. All of them with simply npm test
.
Nevertheless, this project is almost entirely covered with tests and I expect any pull request to have tests that demonstrate any new feature or bugfix.