calustra. substantivo femenino:
Construción rural, de forma xeralmente rectangular, feita sobre columnas e con moitas aberturas nas paredes para facilitar a ventilación, que se utiliza fundamentalmente para gardar o millo e outros produtos agrícolas.
Gardan o millo na calustra.
calustra
is a database connector.
Currently, supported databases are:
- PostgreSQL (through pg-promise).
- SQLite (through sqlite3).
We may add support for other databases (MySql, MsSql, ...) in the future... or may not.
npm install calustra
calustra
exposes just the method getConnection
which returns a Connection object.
With that connection, you may select(query)
, selectOne(query)
, execute(query)
or executeAndCount(query)
some SQL
query.
You can also do .getModel(table_name)
, which returns a Model object.
You can also import some interesting SQL
query tools from calustra/query
.
import {getConnection} from 'calustra'
// Init connection
const config= {
dialect: 'postgres',
host: 'localhost',
port: 5432,
database: 'calustra',
user: 'postgres',
password: 'postgres'
}
const options= {
log: 'debug',
tables: ['screw_stock'],
cache: {type: 'memory'},
reset: true
}
const conn = await getConnection(config, options)
// create a table
const q_drop = `DROP TABLE IF EXISTS screw_stock`
await conn.execute(q_drop)
const q_create = `
CREATE TABLE screw_stock (
id serial,
screw_type TEXT NOT NULL,
stock INT
)`
await conn.execute(q_create)
// fill table
const data = [
['Wood Screws', 1034],
['Machine Screws', 3545],
['Thread Cutting Machine Screws', 466],
['Sheet Metal Screws', 6436],
['Self Drilling Screws', 265],
['Hex Bolts', 3653],
['Carriage Bolts', 63],
['Tag Bolts', 3573]
]
//
// Let's play using connection directly
//
const q_insert = 'INSERT INTO screw_stock (screw_type, stock) VALUES ($1, $2)
for (const d of data) {
await conn.execute(q_insert, d)
}
// select many records
const q_select = 'SELECT * FROM screw_stock'
const screws = await conn.select(q_select)
// select one record
const q_select_one = 'SELECT * FROM screw_stock WHERE screw_type = $1'
const hex_bolts = await conn.selectOne(q_select_one, ['Hex Bolts'])
// clean some records
const q_del = 'DELETE FROM screw_stock WHERE stock >= $1'
const del_records = await conn.executeAndCount(q_del, [1000])
//
// Let's play using models
//
const ScrewStock = connection.getModel('screw_stock')
// fill table
for (const d of data) {
await ScrewStock.insert({screw_type: d[0], stock: d[1]})
}
// select many records
const read_filter = {screw_type: ['Hex Bolts', 'Tag Bolts']}
const screws = await ScrewStock.read(read_filter)
// update one record
const upd_data = {stock: 1234}
const upd_filter = {screw_type: 'Tag Bolts'}
const upd_rows = await ScrewStock.update(upd_data, upd_filter)
// clean some records
const del_filter = {screw_type: 'Tag Bolts'}
const del_rows = await ScrewStock.delete(del_filter)
Initializes and returns a connection object.
Connections are cached. The first time you init the connection, you have to pass a config
object. But for further usages of the connection, you can take the cached connection just by passing a selector
.
Contains the connection parameters (which depend on the database).
For PostgreSQL
:
config= {
dialect: 'postgres',
host: 'localhost',
port: 5432,
database: 'calustra',
user: 'postgres',
password: 'postgres',
// Maximum/Minimum number of connection in pool
max: 5,
min: 0,
// The maximum time, in milliseconds, that a connection can be idle before being released.
// Use with combination of evict for proper working, for more details read
// https://github.com/coopernurse/node-pool/issues/178#issuecomment-327110870
idleTimeoutMillis: 10000,
allowExitOnIdle: true
}
For SQLite
:
config={
dialect: 'sqlite',
filename: ':memory:',
verbose: true,
// https://github.com/mapbox/node-sqlite3/wiki/Caching
cached: true,
/*user: 'sqlite',
password: 'sqlite'*/
trace: undefined,
profile: undefined,
busyTimeout: undefined
}
It will be matched against the config
object you had initialized the connection with.
Given this, the most easy thing to do is to just specify the database
as the selector if using PostgreSQL, or the filename
if using SQLite. But that's up to you!
It can be a string with the log level (silly
, debug
, info
, warn
, error
) or a class exposing methods named as those log levels.
Some examples:
options= {
log: 'debug'
}
class CustomLogger {
_log(l, s) {
console.log(`[${l}] ${s}`)
}
silly(s) { this.log('silly', s) }
debug(s) { this.log('debug', s) }
info(s) { this.log('info', s) }
warn(s) { this.log('warn', s) }
error(s) { this.log('error', s) }
}
const options= {
log: CustomLogger
}
Options to be passed to cacheiro
. Default cache type is memory
.
If false
, connections are not cached.
If true
, cached connections will be ignored. Connection will be re-created. Default is false
.
List of tables in the database which will be accessible trough getModel()
. Each item in the list may be an string
(the table name) or an object like this:
{
name: 'table_name',
schema: 'public',
useDateFields: {
use: false,
fieldNames: {
created_at: 'created_at',
last_update_at: 'last_update_at'
},
now: () => intre_now()
},
checkBeforeDelete: [
"another_table.field_id"
],
triggers: {
beforeRead : <callback>,
afterRead : <callback>,
beforeInsert : <callback>,
afterInsert : <callback>,
beforeUpdate : <callback>,
afterUpdate : <callback>,
beforeDelete : <callback>,
afterDelete : <callback>
},
}
An array of db fields like ['table_one.field_two', 'table_three.field_one']
.
It is used to prevent unwanted deletions which are not covered by a SQL relation.
It only affects to deletions which are filtered by id
. For example:
const conn = await getConnection(config, {
tables: [{
name: 'screw_stock',
checkBeforeDelete: ['screw_stats.screw_stock_id']
}]
})
const ScrewStock = connection.getModel('screw_stock')
const del_filter = {id: 1}
const del_rows = await ScrewStock.delete(del_filter)
If some record exists in screw_stats
table with screw_stock_id= 1
, then
the ScrewStock.delete
will fail.
calustra
knows that a very extended approach is to have fields like
created_at
or last_update_at
in your tables. This option will help with that.
Here you can specify an object like this:
import {intre_now} from 'intre'
const conn = await getConnection(config, {
tables: [{
name: 'screw_stock',
useDateFields: {
use: true,
fieldNames: {
created_at: 'created_at',
last_update_at: 'last_update_at'
},
now: () => intre_now()
}
}]
})
You can also simply specify a boolean
value. If true
, above defaults will be used.
As you can imagine, calustra
will automatically update this fields after every insert
(created_at
field) or update (last_update_at
field).
Triggers are used to customize every query phase. A trigger
is a function containing specific parameters
and returning specific array of values. Available ones are:
beforeInsert(conn params, options)
returns[params, options, allow]
afterInsert(conn id, params, options)
returnid
beforeUpdate(conn params, filter, options)
returns[params, filter, options, allow]
afterUpdate(conn rows, params, filter, options)
returnsrows
beforeDelete(conn filter, options)
returns[filter, options, allow]
afterDelete(conn rows, filter, options)
returnsrows
You can use them to abort queries (allow=false
), to customize params
on the fly before
the query is executed, to customize the returning results, etc.
query
: string with SQL query. It may contain wildcards ($1
,$2
...) or (?
,?
...).values
: array of values if query contains wildcardsoptions
:transaction
log
: iffalse
, logging is disabled for this particular callsilent_fail
: can betrue
(will returnundefined
as query results) orfalse
(default, exception will be propagated).
Returns an array of objects with the result of the query.
query
: string with SQL query. It may contain wildcards ($1
,$2
...) or (?
,?
...).values
: array of values if query contains wildcardsoptions
:transaction
log
: iffalse
, logging is disabled for this particular callomitWarning
: by default, if query returns more than one record, a logging warning is shown. IfomitWarning
istrue
, this warning is ignored.silent_fail
: can betrue
(will returnundefined
as query results) orfalse
(default, exception will be propagated).
Returns an object with the result of the query.
query
: string with SQL query. It may contain wildcards ($1
,$2
...) or (?
,?
...).values
: array of values if query contains wildcardsoptions
:transaction
log
: iffalse
, logging is disabled for this particular callsilent_fail
: can betrue
(will returnundefined
as query results) orfalse
(default, exception will be propagated).
Returns an array of objects with the result of the query.
query
: string with SQL query. It may contain wildcards ($1
,$2
...) or (?
,?
...).values
: array of values if query contains wildcardsoptions
:transaction
log
: iffalse
, logging is disabled for this particular call
Returns an integer with the number of rows affected by the query.
Returns an array with the table names present in the specified database schema
:
Notice the results of this method will be in-memory cached: so query runs just once per connection.
Returns an object with the details of a database table definition, like:
{
'field_name': {
type : <type identifier>,
key : <bool>,
nullable : <bool>,
default : <default value>
},...
}
Notice the results of this method will be in-memory cached: so query runs just once per connection and table.
table_name
: name of a table which was included onoptions.tables
value.
Returns a Model object.
In calustra
, a Model object always refers to the database table; it never refers to a single record.
In other words: unlike other ORMs, you will not do const model= Model.create(); model.fieldA= 'value'; model.save()
.
In calustra
you will do Model.insert({data})
or Model.update({data}, {filter})
.
data
: an object with "what to insert". Fields that do not exist on Model definition will be discarded.options
:transaction
: ancalustra
transaction object
It returns an int
with the .id
of the newly created record.
data
: an object with "what to update". Fields that do not exist on Model definition will be discarded.filter
: an object with "which records to update". Fields that do not exist on Model definition will be discarded.options
:transaction
: ancalustra
transaction object
It returns an int
with the number of affected records by the update.
filter
: an object with "which records to delete". Fields that do not exist on Model definition will be discarded.options
:transaction
: ancalustra
transaction object
It returns an int
with the number of deleted records.
filter
: an object with "which records to read". Fields that do not exist on Model definition will be discarded.options
:fields
: a subset of table's field names to include on the result outputsortby
: indicates wat field to sort by the read. It may be anstring
with the field's name (sort will beASC
), or a two elements Array like[field_name, ASC|DESC]
limit
andoffset
: to make paginated readstransaction
: ancalustra
transaction object
It returns an Array of objects, empty if no record was found with the specified filter.
id
: anint
with the.id
to look foroptions
:transaction
: ancalustra
transaction object
It returns an object with the desired record, empty if none was found.
At calustra/query
these are a small -yet powerful- set of utils over SQL
queries.
Returns an array of the table names involved in query
.
Cleans comments from query
.
Cleans comments from query
, also compacting it in a single line if multiline.
Checks what the main action of the query
is, even for the hard ones.
Possible return values are: create
, alter
, drop
, insert
, update
, delete
, select
.
Returns a human readable description of the query
.
Examples:
Created table cars (time: <time>)
Inserted <rows> rows into cars (time: <time>)
Clean and colorize a query with logging in mind.
Notice that calustra
keeps a simple cache of connections once they are initialized. You can get them using getConnection(selector)
:
import {getConnection} from 'calustra'
const conn = await getConnection(`calustra`)
selector
is just a string matching some part of the config
you passed the first time to init the connection.
Closing a connection destroys and uncaches it, but closing connections must be done carefully:
conn.close()
You can disable caching of a connection by specifying the option cache: false
:
const conn = await getConnection(config, {cache: false})
// connection will not be available later trough getConnection(selector)
When creating a connection, you may force to re-init it (and ignore previous cached connection, if any)
by specifying the option reset
:
const conn = await getConnection(config, {reset: true})
// previous cached connection will be ignored and overwritten
If you close a connection:
connection.close()
notice that the database's pool will be removed, being no longer available. Even if recreating the Connection object you will get errors.
So, use it with care!
Upgraded cacheiro
to 0.1.1
:
getConnection
is now async.- added
options.cache
to customizecalustra
's cache usage - removed
options.nocache
accordingly (now it iscache: false
)