Strelki.js is an array library that allows to create arrays with multiple hash indexes. It also allows to join arrays similar to SQL's JOIN operator.
http://htmlpreview.github.io/?https://github.com/amaksr/Strelki.js/blob/master/docs/index.html
https://www.izhforum.info/strelkijs/
Load library in node.js:
var StrelkiJS = require('./strelki');
Load library in browser:
<script src="strelki.js"></script>
Create new IndexedArray object:
var emp = new StrelkiJS.IndexedArray();
Add some data to it:
emp.put({
id: "001",
first_name: "John",
last_name: "Smith",
dep_id: "sales",
address_id: "200"
});
emp.put({
id: "002",
first_name: "Ivan",
last_name: "Krasonov",
dep_id: "sales",
address_id: "300"
});
Add some index to it:
emp.createIndex("dep_id");
Add some more data:
emp.put({
id: "003",
first_name: "George",
last_name: "Clooney",
dep_id: "hr",
address_id: "400"
});
emp.put({
id: "004",
first_name: "Dev",
last_name: "Patel",
dep_id: "board",
address_id: "500"
});
Select some records by indexed field into new IndexedArray:
var sales_emp = emp.where("dep_id","sales");
Create another IndexedArray for addresses:
var adr = new StrelkiJS.IndexedArray();
Add some data to it:
adr.put({ id: "200", address: "New Orleans, Bourbon street, 100"});
adr.put({ id: "300", address: "Moscow, Rojdestvensko-Krasnopresnenskaya Naberejnaya"});
adr.put({ id: "500", address: "Bollywood, India"});
Now join "emp" and adr:
var res = emp.query([
{
from_col: "address_id", // name of the column in "emp" table
to_table: adr, // reference to another table
to_col: "id", // "id", or other indexed field in "adr" table
type: "outer", // "outer" for LEFT OUTER JOIN, or null for INNER JOIN
//join: [ // optional recursive nested joins of the same structure
// {
// from_col: ...,
// to_table: ...,
// to_col: ...,
// ...
// },
// ...
//],
}
])
Result will be an array of joined records, similar to what SQL JOIN produces:
[
[
{"id":"001","first_name":"John","last_name":"Smith","dep_id":"sales","address_id":"200"},
{"id":"200","address":"New Orleans, Bourbon street, 100"}
],
[
{"id":"002","first_name":"Ivan","last_name":"Krasonov","dep_id":"sales","address_id":"300"},
{"id":"300","address":"Moscow, Rojdestvensko-Krasnopresnenskaya Naberejnaya"}
],
[
{"id":"003","first_name":"George","last_name":"Clooney","dep_id":"hr","address_id":"400"},
null
],
[
{"id":"004","first_name":"Dev","last_name":"Patel","dep_id":"board","address_id":"500"},
{"id":"500","address":"Bollywood, India"}
]
]
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