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https://github.com/jsayol/FireSQL

Query Firestore using SQL syntax
https://github.com/jsayol/FireSQL

firebase firestore nodejs sql typescript-library

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Query Firestore using SQL syntax

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# FireSQL - Query Firestore using SQL syntax



## What is FireSQL?



FireSQL is a library built on top of the official Firebase SDK that allows you to query Cloud Firestore using SQL syntax. It's smart enough to issue the minimum amount of queries necessary to the Firestore servers in order to get the data that you request.



On top of that, it offers some of the handy utilities that you're used to when using SQL, so that it can provide a better querying experience beyond what's offered by the native querying methods.



## Installation



Just add `firesql` and `firebase` to your project:



```sh

npm install firesql firebase

# or

yarn add firesql firebase

```



If you want to receive realtime updates when querying, then you will also need to install `rxjs` and `rxfire`:



```sh

npm install firesql firebase rxjs rxfire

# or

yarn add firesql firebase rxjs rxfire

```



## Usage



```js

// You can either query the collections at the root of the database...

const dbRef = firebase.firestore();



// ... or the subcollections of some document

const docRef = firebase.firestore().doc('someDoc');



// And then just pass that reference to FireSQL

const fireSQL = new FireSQL(dbRef);



// Use `.query()` to get a one-time result

fireSQL.query('SELECT * FROM myCollection').then(documents => {

  documents.forEach(doc => {

    /* Do something with the document */

  });

});



// Use `.rxQuery()` to get an observable for realtime results.

// Don't forget to import "firesql/rx" first (see example below).

fireSQL.rxQuery('SELECT * FROM myCollection').subscribe(documents => {

  /* Got an update with the documents! */

});



```



## Examples



### One-time result (Promise)



```js

import { FireSQL } from 'firesql';

import firebase from 'firebase/app';

import 'firebase/firestore';



firebase.initializeApp({ /* ... */ });



const fireSQL = new FireSQL(firebase.firestore());



const citiesPromise = fireSQL.query(`

  SELECT name AS city, country, population AS people

  FROM cities

  WHERE country = 'USA' AND population > 700000

  ORDER BY country, population DESC

  LIMIT 10

`);



citiesPromise.then(cities => {

  for (const city of cities) {

    console.log(

      `${city.city} in ${city.country} has ${city.people} people`

    );

  }

});

```



### Realtime updates (Observable)



```js

import { FireSQL } from 'firesql';

import firebase from 'firebase/app';

import 'firesql/rx'; // <-- Important! Don't forget

import 'firebase/firestore';



firebase.initializeApp({ /* ... */ });



const fireSQL = new FireSQL(firebase.firestore());



const cities$ = fireSQL.rxQuery(`

  SELECT city, category, AVG(price) AS avgPrice

  FROM restaurants

  WHERE category IN ("Mexican", "Indian", "Brunch")

  GROUP BY city, category

`);



cities$.subscribe(results => {

  /* REALTIME AGGREGATED DATA! */

});

```



## Limitations



- Only `SELECT` queries for now. Support for `INSERT`, `UPDATE`, and `DELETE` might come in the future.

- No support for `JOIN`s.

- `LIMIT` doesn't accept an `OFFSET`, only a single number.

- No support for aggregate function `COUNT`.

- If using `GROUP BY`, it cannot be combined with `ORDER BY` nor `LIMIT`.

- No support for negating conditions with `NOT`.

- Limited `LIKE`. Allows for searches in the form of `WHERE field LIKE 'value%'`, to look for fields that begin with the given value; and `WHERE field LIKE 'value'`, which is functionally equivalent to `WHERE field = 'value'`.



## Nested objects

You can access nested objects by using backticks around the field path. For example, if you have a collection "*products*" with documents like this:

```js

{

  productName: "Firebase Hot Sauce",

  details: {

    available: true,

    stock: 42

  }

}

```

You could do the following queries:

```sql

SELECT *

FROM products

WHERE `details.stock` > 10

```

```sql

SELECT productName, `details.stock` AS productStock

FROM products

WHERE `details.available` = true

```



## Getting the document IDs

You can use the special field `__name__` to refer to the document ID (its key inside a collection). For convenience, you might want to alias it:

```sql

SELECT __name__ AS docId, country, population

FROM cities

```



If you always want to include the document ID, you can specify that as a global option to the FireSQL class:

```js

const fireSQL = new FireSQL(ref, { includeId: true}); // To include it as "__name__"

const fireSQL = new FireSQL(ref, { includeId: 'fieldName'}); // To include it as "fieldName"

```



You can also specify that option when querying. This will always take preference over the global option:

```js

fireSQL.query(sql, { includeId: 'id'}); // To include it as "id"

fireSQL.query(sql, { includeId: false}); // To not include it

```



When querying it's also possible to use the document as a search field by using `__name__` directly. For example, you could search for all the documents whose IDs start with `Hello`:

```sql

SELECT *

FROM cities

WHERE __name__ LIKE 'Hello%'

```



> **Note**: You will need to specify the `includeId` option if you want to obtain the document IDs when doing a `SELECT *` query.



## Collection group queries

You can easily do collection group queries with FireSQL!



This query will get all documents from any collection or subcollection named "landmarks":

```sql

SELECT *

FROM GROUP landmarks

```



You can [read more about collection group queries](https://firebase.google.com/docs/firestore/query-data/queries#collection-group-query) in the official Firestore documentation.



## Array membership queries

It's as simple as using the `CONTAINS` condition:

```sql

SELECT *

FROM posts

WHERE tags CONTAINS 'interesting'

```



You can [read more about array membership queries](https://firebase.google.com/docs/firestore/query-data/queries#array_membership) in the official Firestore documentation.



## How does FireSQL work?



FireSQL transforms your SQL query into one or more queries to Firestore. Once all the necessary data has been retrieved, it does some internal processing in order to give you exactly what you asked for.



For example, take the following SQL:

```sql

SELECT *

FROM cities

WHERE country = 'USA' AND population > 50000

```

This would get transformed into this single Firestore query:

```js

db.collection('cities')

  .where('country', '==', 'USA')

  .where('population', '>', 50000);

```

That's pretty straightforward. But what about this one?

```sql

SELECT *

FROM cities

WHERE country = 'USA' OR population > 50000

```

There's no direct way to perform an `OR` query on Firestore so FireSQL splits that into 2 separate queries:

```js

db.collection('cities').where('country', '==', 'USA');

db.collection('cities').where('population', '>', 50000);

```

The results are then merged and any possible duplicates are eliminated.



The same principle applies to any other query. Sometimes your SQL will result in a single Firestore query and some other times it might result in several.



For example, take a seemingly simple SQL statement like the following:

```sql

SELECT *

FROM cities

WHERE country != 'Japan' AND region IN ('north', 'east', 'west') AND (capital = true OR population > 100000)

```



This will need to launch a total of 12 concurrent queries to Firestore!

```js

const cities = db.collection('cities');

cities.where('country', '<', 'Japan').where('region', '==', 'north').where('capital', '==', true);

cities.where('country', '<', 'Japan').where('region', '==', 'north').where('population', '>', 100000);

cities.where('country', '<', 'Japan').where('region', '==', 'east').where('capital', '==', true);

cities.where('country', '<', 'Japan').where('region', '==', 'east').where('population', '>', 100000);

cities.where('country', '<', 'Japan').where('region', '==', 'west').where('capital', '==', true);

cities.where('country', '<', 'Japan').where('region', '==', 'west').where('population', '>', 100000);

cities.where('country', '>', 'Japan').where('region', '==', 'north').where('capital', '==', true);

cities.where('country', '>', 'Japan').where('region', '==', 'north').where('population', '>', 100000);

cities.where('country', '>', 'Japan').where('region', '==', 'east').where('capital', '==', true);

cities.where('country', '>', 'Japan').where('region', '==', 'east').where('population', '>', 100000);

cities.where('country', '>', 'Japan').where('region', '==', 'west').where('capital', '==', true);

cities.where('country', '>', 'Japan').where('region', '==', 'west').where('population', '>', 100000);

```

As you can see, SQL offers a very concise and powerful way to express your query. But as they say, ***with great power comes great responsibility***. Always be mindful of the underlying data model when using FireSQL.



## Examples of supported queries:



```sql

SELECT *

FROM restaurants

```



```sql

SELECT name, price

FROM restaurants

WHERE city = 'Chicago'

```



```sql

SELECT *

FROM restaurants

WHERE category = 'Indian' AND price < 50

```



```sql

SELECT *

FROM restaurants

WHERE name LIKE 'Best%'

```



```sql

SELECT *

FROM restaurants

WHERE name LIKE 'Best%' OR city = 'Los Angeles'

```



```sql

SELECT *

FROM restaurants

WHERE city IN ( 'Raleigh', 'Nashvile', 'Denver' )

```



```sql

SELECT *

FROM restaurants

WHERE city != 'Oklahoma'

```



```sql

SELECT *

FROM restaurants

WHERE favorite = true

```



```sql

SELECT *

FROM restaurants

WHERE favorite -- Equivalent to the previous one

```



```sql

SELECT *

FROM restaurants

WHERE favorite IS NULL

```



```sql

SELECT AVG(price) AS averagePriceInChicago

FROM restaurants

WHERE city = 'Chicago'

```



```sql

SELECT city, MIN(price), AVG(price), MAX(price)

FROM restaurants

WHERE category = 'Indian'

GROUP BY city

```



```sql

SELECT *

FROM restaurants

WHERE city = 'Memphis' AND ( price < 40 OR avgRating > 8 )

ORDER BY price DESC, avgRating

```



```sql

SELECT *

FROM restaurants

WHERE price BETWEEN 25 AND 150

ORDER BY city, price

LIMIT 10

```



```sql

SELECT *

FROM restaurants

WHERE city = 'Chicago'

UNION

SELECT *

FROM restaurants

WHERE price > 200

```