haro
v15.2.5
Published
Haro is a modern immutable DataStore
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haro
Haro is a modern immutable DataStore built with ES6 features. It is un-opinionated, and offers a "plug-and-play" solution to modeling, searching, & managing data on the client, or server
(in RAM). It is a partially persistent data structure, by maintaining version sets of records in versions
(MVCC).
All methods are synchronous.
Haro indexes have the following structure Map (field/property) > Map (value) > Set (PKs)
which allow for quick & easy
searching, as well as inspection. Indexes can be managed independently of del()
& set()
operations, for example you
can lazily create new indexes via reindex(field)
, or sortBy(field)
.
Testing
Haro has 100% code coverage with its tests.
----------|---------|----------|---------|---------|-------------------------------------------------------------------------------------------------------
File | % Stmts | % Branch | % Funcs | % Lines | Uncovered Line #s
----------|---------|----------|---------|---------|-------------------------------------------------------------------------------------------------------
All files | 100 | 83.56 | 100 | 100 |
haro.cjs | 100 | 83.56 | 100 | 100 | 49-75,108,163-175,192,224-228,242,264,266,274,308,326,353-354,359-361,375-378,380,437,475,482,486-496
----------|---------|----------|---------|---------|-------------------------------------------------------------------------------------------------------
Usage
The named export is haro
, and the named Class exported is Haro
.
ES Module
import {haro} from 'haro';
CommonJS / node.js
const {haro} = require('haro');
Function parameters
Haro takes two optional arguments, the first is an Array
of records to set asynchronously, & the second is a
configuration descriptor.
const storeDefaults = haro();
const storeRecords = haro([{name: 'John Doe', age: 30}, {name: 'Jane Doe', age: 28}]);
const storeCustom = haro(null, {key: 'id'});
Examples
Indexes & Searching
const store = haro(null, {index: ['name', 'age']}),
data = [{name: 'John Doe', age: 30}, {name: 'Jane Doe', age: 28}];
const records = store.batch(data, 'set');
console.log(records[0]); // [$uuid, {name: 'John Doe', age: 30}]
console.log(store.size); // 2
console.log(store.find({age: 28})); // [[$uuid, {name: 'Jane Doe', age: 28}]]
console.log(store.search(/^ja/i, 'name')); // [[$uuid, {name: 'Jane Doe', age: 28}]]
console.log(store.search(arg => age < 30, 'age')); // [[$uuid, {name: 'Jane Doe', age: 28}]]
MVCC versioning
const store = haro();
let arg;
arg = store.set(null, {abc: true});
arg = store.set(arg[0], {abc: false});
arg = store.set(arg[0], {abc: true});
store.versions.get(arg[0]).forEach(i => console.log(i[0])); // {abc: true}, {abc: false}
Benchmarked
A benchmark is included in the repository, and is useful for gauging how haro will perform on different hardware, & software.
time to batch insert data: 6.7825 ms
datastore record count: 1000
name indexes: 1000
testing time to 'find()' a record (first one is cold):
0.063375ms
0.004583ms
0.002417ms
0.003459ms
0.001916ms
testing time to 'search(regex, index)' for a record (first one is cold):
0.147792ms
0.051209ms
0.050958ms
0.051125ms
0.052166ms
time to override data: 0.361709 ms
testing time to 'search(regex, index)' on overridden data for a record (first one is cold):
0.053083ms
0.051916ms
0.027459ms
0.0275ms
0.032292ms
Configuration
beforeBatch
Function
Event listener for before a batch operation, receives type
, data
.
beforeClear
Function
Event listener for before clearing the data store.
beforeDelete
Function
Event listener for before a record is deleted, receives key
, batch
.
beforeSet
Function
Event listener for before a record is set, receives key
, data
.
index
Array
Array of values to index. Composite indexes are supported, by using the default delimiter (this.delimiter
).
Non-matches within composites result in blank values.
Example of fields/properties to index:
const store = haro(null, {index: ['field1', 'field2', 'field1|field2|field3']});
key
String
Optional Object
key to utilize as Map
key, defaults to a version 4 UUID
if not specified, or found.
Example of specifying the primary key:
const store = haro(null, {key: 'field'});
logging
Boolean
Logs persistent storage messages to console
, default is true
.
onbatch
Function
Event listener for a batch operation, receives two arguments ['type', Array
].
onclear
Function
Event listener for clearing the data store.
ondelete
Function
Event listener for when a record is deleted, receives the record key.
onoverride
Function
Event listener for when the data store changes entire data set, receives a String
naming what changed (indexes
or records
).
onset
Function
Event listener for when a record is set, receives an Array
.
versioning
Boolean
Enable/disable MVCC style versioning of records, default is false
. Versions are stored in Sets
for easy iteration.
Example of enabling versioning:
const store = haro(null, {versioning: true});
Properties
data
Map
Map
of records, updated by del()
& set()
.
indexes
Map
Map of indexes, which are Sets containing Map keys.
registry
Array
Array representing the order of this.data
.
size
Number
Number of records in the DataStore.
versions
Map
Map
of Sets
of records, updated by set()
.
API
batch(array, type)
Array
The first argument must be an Array
, and the second argument must be del
or set
.
const haro = require('haro'),
store = haro(null, {key: 'id', index: ['name']}),
nth = 100,
data = [];
let i = -1;
while (++i < nth) {
data.push({id: i, name: 'John Doe' + i});
}
// records is an Array of Arrays
const records = store.batch(data, 'set');
clear()
self
Removes all key/value pairs from the DataStore.
Example of clearing a DataStore:
const store = haro();
// Data is added
store.clear();
del(key)
Undefined
Deletes the record.
Example of deleting a record:
const store = haro(),
rec = store.set(null, {abc: true});
store.del(rec[0]);
console.log(store.size); // 0
dump(type="records")
Array or Object
Returns the records or indexes of the DataStore as mutable Array
or Object
, for the intention of reuse/persistent storage without relying on an adapter which would break up the data set.
const store = haro();
// Data is loaded
const records = store.dump();
const indexes = store.dump('indexes');
// Save records & indexes
entries()
MapIterator
Returns a new Iterator
object that contains an array of [key, value]
for each element in the Map
object in
insertion order.
Example of deleting a record:
const store = haro();
let item, iterator;
// Data is added
iterator = store.entries();
item = iterator.next();
do {
console.log(item.value);
item = iterator.next();
} while (!item.done);
filter(callbackFn[, raw=false])
Array
Returns an Array
of double Arrays
with the shape [key, value]
for records which returned true
to
callbackFn(value, key)
.
Example of filtering a DataStore:
const store = haro();
// Data is added
store.filter(function (value) {
return value.something === true;
});
find(where[, raw=false])
Array
Returns an Array
of double Arrays
with found by indexed values matching the where
.
Example of finding a record(s) with an identity match:
const store = haro(null, {index: ['field1']});
// Data is added
store.find({field1: 'some value'});
forEach(callbackFn[, thisArg])
Undefined
Calls callbackFn
once for each key-value pair present in the Map
object, in insertion order. If a thisArg
parameter is provided to forEach
, it will be used as the this
value for each callback.
Example of deleting a record:
const store = haro();
store.set(null, {abc: true});
store.forEach(function (value, key) {
console.log(key);
});
get(key[, raw=false])
Array
Gets the record as a double Array
with the shape [key, value]
.
Example of getting a record with a known primary key value:
const store = haro();
// Data is added
store.get('keyValue');
has(key)
Boolean
Returns a Boolean
indicating if the data store contains key
.
Example of checking for a record with a known primary key value:
const store = haro();
// Data is added
store.has('keyValue'); // true or false
keys()
MapIterator
Returns a new Iterator
object that contains the keys for each element in the Map
object in insertion order.`
Example of getting an iterator, and logging the results:
const store = haro();
let item, iterator;
// Data is added
iterator = store.keys();
item = iterator.next();
do {
console.log(item.value);
item = iterator.next();
} while (!item.done);
limit(offset=0, max=0, raw=false)
Array
Returns an Array
of double Arrays
with the shape [key, value]
for the corresponding range of records.
Example of paginating a data set:
const store = haro();
let ds1, ds2;
// Data is added
console.log(store.size); // >10
ds1 = store.limit(0, 10); // [0-9]
ds2 = store.limit(10, 10); // [10-19]
console.log(ds1.length === ds2.length); // true
console.log(JSON.stringify(ds1[0][1]) === JSON.stringify(ds2[0][1])); // false
map(callbackFn, raw=false)
Array
Returns an Array
of the returns of callbackFn(value, key)
. If raw
is true
an Array
is returned.
Example of mapping a DataStore:
const store = haro();
// Data is added
store.map(function (value) {
return value.property;
});
override(data[, type="records", fn])
Boolean
This is meant to be used in a paired override of the indexes & records, such that
you can avoid the Promise
based code path of a batch()
insert or load()
. Accepts an optional third parameter to perform the
transformation to simplify cross domain issues.
Example of overriding a DataStore:
const store = haro();
store.override({'field': {'value': ['pk']}}, "indexes");
reduce(accumulator, value[, key, ctx=this, raw=false])
Array
Runs an Array.reduce()
inspired function against the data store (Map
).
Example of filtering a DataStore:
const store = haro();
// Data is added
store.reduce(function (accumulator, value, key) {
accumulator[key] = value;
return accumulator;
}, {});
reindex([index])
Haro
Re-indexes the DataStore, to be called if changing the value of index
.
Example of mapping a DataStore:
const store = haro();
// Data is added
// Creating a late index
store.reindex('field3');
// Recreating indexes, this should only happen if the store is out of sync caused by developer code.
store.reindex();
search(arg[, index=this.index, raw=false])
Array
Returns an Array
of double Arrays
with the shape [key, value]
of records found matching arg
.
If arg
is a Function
(parameters are value
& index
) a match is made if the result is true
, if arg
is a RegExp
the field value must .test()
as true
, else the value must be an identity match. The index
parameter can be a String
or Array
of Strings
;
if not supplied it defaults to this.index
.
Indexed Arrays
which are tested with a RegExp
will be treated as a comma delimited String
, e.g. ['hockey', 'football']
becomes 'hockey, football'
for the RegExp
.
Example of searching with a predicate function:
const store = haro(null, {index: ['name', 'age']}),
data = [{name: 'John Doe', age: 30}, {name: 'Jane Doe', age: 28}];
store.batch(data, 'set')
console.log(store.search(function (age) {
return age < 30;
}, 'age')); // [[$uuid, {name: 'Jane Doe', age: 28}]]
set(key, data, batch=false, override=false)
Object
Record in the DataStore. If key
is false
a version 4 UUID
will be
generated.
If override
is true
, the existing record will be replaced instead of amended.
Example of creating a record:
const store = haro(null, {key: 'id'}),
record = store.set(null, {id: 1, name: 'John Doe'});
console.log(record); // [1, {id: 1, name: 'Jane Doe'}]
sort(callbackFn, [frozen = true])
Array
Returns an Array of the DataStore, sorted by callbackFn
.
Example of sorting like an Array
:
const store = haro(null, {index: ['name', 'age']}),
data = [{name: 'John Doe', age: 30}, {name: 'Jane Doe', age: 28}];
store.batch(data, 'set')
console.log(store.sort((a, b) => a < b ? -1 : (a > b ? 1 : 0))); // [{name: 'Jane Doe', age: 28}, {name: 'John Doe', age: 30}]
sortBy(index[, raw=false])
Array
Returns an Array
of double Arrays
with the shape [key, value]
of records sorted by an index.
Example of sorting by an index:
const store = haro(null, {index: ['name', 'age']}),
data = [{name: 'John Doe', age: 30}, {name: 'Jane Doe', age: 28}];
store.batch(data, 'set')
console.log(store.sortBy('age')); // [[$uuid, {name: 'Jane Doe', age: 28}], [$uuid, {name: 'John Doe', age: 30}]]
toArray([frozen=true])
Array
Returns an Array of the DataStore.
Example of casting to an Array
:
const store = haro(),
data = [{name: 'John Doe', age: 30}, {name: 'Jane Doe', age: 28}];
store.batch(data, 'set')
console.log(store.toArray()); // [{name: 'John Doe', age: 30}, {name: 'Jane Doe', age: 28}]
values()
MapIterator
Returns a new Iterator
object that contains the values for each element in the Map
object in insertion order.
Example of iterating the values:
const store = haro(),
data = [{name: 'John Doe', age: 30}, {name: 'Jane Doe', age: 28}];
store.batch(data, 'set')
const iterator = store.values();
let item = iterator.next();
while (!item.done) {
console.log(item.value);
item = iterator.next();
};
where(predicate[, raw=false, op="||"])
Array
Ideal for when dealing with a composite index which contains an Array
of values, which would make matching on a single value impossible when using find()
.
const store = haro(null, {key: 'guid', index: ['name', 'name|age', 'age']}),
data = [{guid: 'abc', name: 'John Doe', age: 30}, {guid: 'def', name: 'Jane Doe', age: 28}];
store.batch(data, 'set');
console.log(store.where({name: 'John Doe', age: 30})); // [{guid: 'abc', name: 'John Doe', age: 30}]
License
Copyright (c) 2024 Jason Mulligan Licensed under the BSD-3 license