---
title: NoSQL Data Stores
---
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So-called "Schema-less" databases allow for arbitrary keys and values within the
entries in the database. K/V stores and Objects add additional restrictions.
:::note
These data stores are capable of storing structured data. Those use cases are
covered in the [Database demo](/docs/demos/database).
:::
## Arbitrary Data to Spreadsheets
There is no natural way to translate arbitrarily shaped schemas to worksheets
in a workbook. One common trick is to dedicate one worksheet to holding named
keys. For example, considering the JS object:
```json
{
"title": "SheetDB",
"metadata": {
"author": "SheetJS",
"code": 7262
},
"data": [
{ "Name": "Barack Obama", "Index": 44 },
{ "Name": "Donald Trump", "Index": 45 },
]
}
```
A dedicated worksheet should store the one-off named values:
```
XXX| A | B |
---+-----------------+---------+
1 | Path | Value |
2 | title | SheetDB |
3 | metadata.author | SheetJS |
4 | metadata.code | 7262 |
```
## Data Stores
### Redis
Redis has 5 core data types: "String", List", "Set", "Sorted Set", and "Hash".
Since the keys and values are limited to simple strings (and numbers), it is
possible to store complete databases in a single worksheet.
![SheetJSRedis.xlsx](pathname:///nosql/sheetjsredis.png)
#### Mapping
The first row holds the data type and the second row holds the property name.
Strings can be stored in a unified String table. The first column holds keys
and the second column holds values:
```
XXX| A | B |
---+---------+-------+
1 | Strings | |
2 | | |
3 | Hello | World |
4 | Sheet | JS |
```
The SheetJS array-of-arrays representation of the string table is an array of
key/value pairs:
```js
let aoa = ["Strings"]; aoa.length = 2; // [ "Strings", empty ]
const keys = await client.KEYS("*");
for(let key of keys) {
const type = await client.TYPE(key);
if(type == "string") aoa.push([key, await client.GET(key)]);
}
```
Lists are unidimensional and can be stored in their own columns.
```
XXX| C |
---+---------+
1 | List |
2 | List1 |
3 | List1V1 |
4 | List1V2 |
```
The SheetJS array-of-arrays representation of lists is a column of values.
```js
if(type == "list") {
let values = await client.LRANGE(key, 0, -1);
aoa = [ ["List"], [key] ].concat(values.map(v => [v]));
}
```
Sets are unidimensional and can be stored in their own columns.
```
XXX| D |
---+-------+
1 | Set |
2 | Set1 |
3 | Set1A |
4 | Set1B |
```
The SheetJS array-of-arrays representation of sets is a column of values.
```js
if(type == "set") {
let values = await client.SMEMBERS(key);
aoa = [ ["Set"], [key] ].concat(values.map(v => [v]));
}
```
Sorted Sets have an associated score which can be stored in the second column.
```
XXX| E | F |
---+---------+---+
1 | Sorted | |
2 | ZSet1 | |
3 | Key1 | 1 |
4 | Key2 | 2 |
```
The SheetJS array-of-arrays representation is an array of key/score pairs.
```js
if(type == "zset") {
let values = await client.ZRANGE_WITHSCORES(key, 0, -1);
aoa = [ ["Sorted"], [key] ].concat(values.map(v => [v.value, v.score]));
}
```
Hashes are stored like the string table, with key and value columns in order.
```
XXX| G | H |
---+-------+-------+
1 | Hash | |
2 | Hash1 | |
3 | Key1 | Val1 |
4 | Key2 | Val2 |
```
The SheetJS array-of-arrays representation is an array of key/value pairs.
```js
if(type == "hash") {
let values = await client.HGETALL(key);
aoa = [ ["Hash"], [key] ].concat(Object.entries(values));
}
```
#### Example
:::warning
The most recent version of the `redis` node module does not work with most
versions of NodeJS. It is "ESM-only", requiring NodeJS 18 or later. As a result,
this demo also requires NodeJS version 18.
Questions regarding the `redis` library and the decision to drop traditional
NodeJS "CommonJS" module support should be directed to the Redis team.
:::
0) Set up and start a local Redis server
1) Download the following scripts:
- [`SheetJSRedis.mjs`](pathname:///nosql/SheetJSRedis.mjs)
- [`SheetJSRedisTest.mjs`](pathname:///nosql/SheetJSRedisTest.mjs)
2) Install dependencies and run:
```bash
npm i --save https://cdn.sheetjs.com/xlsx-latest/xlsx-latest.tgz redis
node SheetJSRedisTest.mjs
```
Inspect the output and compare with the data in `SheetJSRedisTest.mjs`.
Open `SheetJSRedis.xlsx` and verify the columns have the correct data
### PouchDB
`Database#allDocs` is the standard approach for bulk data export. The generated
row objects have additional `_id` and `_rev` keys that should be removed.
Nested objects must be flattened. The ["Tutorial"](/docs/getting-started/example)
includes an example of constructing a simple array.
```js
function export_pouchdb_to_xlsx(db) {
/* fetch all rows, including the underlying data */
db.allDocs({include_docs: true}, function(err, doc) {
/* pull the individual data rows */
const aoo = doc.rows.map(r => {
/* `rest` will include every field from `r` except for _id and _rev */
const { _id, _rev, ...rest } = r;
return rest;
});
/* generate worksheet */
const ws = XLSX.utils.json_to_sheet(aoo);
/* generate workbook and export */
const wb = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(wb, ws, "Sheet1");
XLSX.writeFile(wb, "SheetJSPouch.xlsx");
});
}
```
Complete Example (click to show)
0) Download the "Working Version" from the Getting Started guide.
The ZIP file should have `MD5` checksum `ac4da7cb0cade1be293ba222462f109c`:
```bash
curl -LO https://github.com/nickcolley/getting-started-todo/archive/master.zip
md5sum master.zip || md5 master.zip
### the checksum will be printed
```
If the download is unavailable, a mirror is available at
1) Unzip the `master.zip` file and enter the folder:
```bash
unzip master.zip
cd getting-started-todo-master
```
2) Edit `index.html` to reference the SheetJS library and add a button:
```html title="index.html"
```
3) Just before the end of `app.js`, add a `click` event listener:
```js title="app.js"
if (remoteCouch) {
sync();
}
// highlight-start
document.getElementById("xport").addEventListener("click", function() {
db.allDocs({include_docs: true}, function(err, doc) {
const aoo = doc.rows.map(r => {
const { _id, _rev, ... rest } = r.doc;
return rest;
});
const ws = XLSX.utils.json_to_sheet(aoo);
const wb = XLSX.utils.book_new(); XLSX.utils.book_append_sheet(wb, ws, "Sheet1");
XLSX.writeFile(wb, "SheetJSPouch.xlsx");
});
});
// highlight-end
})();
```
4) Start a local web server:
```bash
npx http-server .
```
Access `http://localhost:8080` from your browser. Add a few items and click
the "Export!" button to generate a new file.