Installation

Precompiled binaries

Download one of the precompiled binaries from the latest release. (builds available for windows, Linux, Macintosh/Darwin)

Building it locally

If you are comfortable building programs, you can build fuego yourself using go:

git clone https://github.com/sgarciac/fuego.git
cd fuego
go build . # and 'go install .' if you want
./fuego --help

Usage

Authentication

You'll need a Service Account key file to be able to access your project's firestore database. To create a service account private key file, if you don't have one, go to your firebase project console, then Project settings and then click on the Service accounts tab and generate a new private key.

Once you have your service account key file, fuego will be able to find it using one of the following options:

  1. Use the --credentials flag every time you execute fuego, i.e.:
fuego --credentials ./my-account-service-private-key.json get mycollection mydocumentid

or

  1. Via the GOOGLE_APPLICATION_CREDENTIALS environment variable:
export GOOGLE_APPLICATION_CREDENTIALS=./my-account-service-private-key.json
fuego get mycollection mydocumentid

Project

Firestore databases belong to projects. The google application credentials file usually define the project that firestore will work on. You can however, if necessary, define the project using the global option --projectid.

Firestore emulator usage

If you need to use fuego with the firestore emulator instead of a real firestore database, set the FIRESTORE_EMULATOR_HOST environment variable to something appropriate (usually, localhost:8080). NOTE: When using the emulator, you are likely not using a GOOGLE_APPLICATION_CREDENTIALS file. Therefore, no project will be defined. You can set a project using the global option --projectid, otherwise it will use 'default' as the project identifier.

List collections

fuego collections

Will return the list of project's collections.

Writing and reading data

You can add new documents, using JSON:

fuego add people '{"name": "sergio", "age": 41}'
# Rv7ZfnLQWprdXuulqMdf <- fuego prints the ID of the newly created document

Of fetch them, using the ID:

fuego get people Rv7ZfnLQWprdXuulqMdf
# {
#     "CreateTime": "2021-08-22T23:53:31.439821Z",
#     "Data": {
#         "age": 41,
#         "name": "sergio"
#     },
#     "ID": "Rv7ZfnLQWprdXuulqMdf",
#     "ReadTime": "2021-08-23T01:57:12.30626Z",
#     "UpdateTime": "2021-08-22T23:53:31.439821Z"
# }


Or fetch them using multiple ids:

fuego  getall people WkVlcPgEJIXzdyQS6H5d f2TbJA5DIhBfXwKrMbHP
[
# {
#     "CreateTime": "2021-08-22T23:53:31.439821Z",
#     "Data": {
#         "age": 41,
#         "name": "sergio"
#     },
#     "ID": "WkVlcPgEJIXzdyQS6H5d",
#     "ReadTime": "2021-08-23T01:57:12.30626Z",
#     "UpdateTime": "2021-08-22T23:53:31.439821Z"
# },
# {
#     "CreateTime": "2021-08-22T23:53:31.439821Z",
#     "Data": {
#         "age": 23,
#         "name": "rohan"
#     },
#     "ID": "f2TbJA5DIhBfXwKrMbHP",
#     "ReadTime": "2021-08-23T01:57:12.30626Z",
#     "UpdateTime": "2021-08-22T23:53:31.439821Z"
# }
# ]

You can also replace an existing document:

fuego set people/Rv7ZfnLQWprdXuulqMdf '{"name": "sergio", "age": 42}' # It's my birthday!

Note: we can either use the arguments collection-path document-id json-data or document-path json-data. This is also the case for the delete and the get commands.

In both add and set commands, the document argument can be either a JSON string (if it starts with the character {) or a path to a JSON file, i.e.:

fuego add animals ./dog.json

To delete a document:

fuego delete people/Rv7ZfnLQWprdXuulqMdf

note: this won't delete any subcollection under the document.

It's also possible to delete multiple documents without transaction

fuego delete people Rv7ZfnLQWprdXuulqMdf,Rv7ZfnLQWprdXuulqMde

To update an existing document:

fuego set --merge people Rv7ZfnLQWprdXuulqMdf '{"location": "unknown"}'
# Rv7ZfnLQWprdXuulqMdf <- fuego prints the ID of the updated document
fuego get people Rv7ZfnLQWprdXuulqMdf

# {
#     "CreateTime": "2021-08-22T23:53:31.439821Z",
#     "Data": {
#         "age": 41,
#         "name": "sergio",
#         "location": "unknown"
#     },
#     "ID": "Rv7ZfnLQWprdXuulqMdf",
#     "ReadTime": "2021-08-23T01:57:12.30626Z",
#     "UpdateTime": "2021-08-22T23:53:31.439821Z"
# }

Advanced types

Our examples here use only basic JSON to represent firestore documents. However, JSON types are not enough to represent some of firestore types, for instance geo-locations or timestamps.

Please read the TYPES documentation if you want to know how fuego maps JSON documents to firestore documents, and how to express the more advanced type system using our 'extended JSON'.

Subcollections

You can work on sub-collections using the full path with "/"s as separators. For example:

fuego query countries/france/cities

Queries

Let's explain queries by example. First, we'll create a collection of physics Nobel laureates,

fuego add nobel '{"name": "Arthur Ashkin", "year": 2018, "birthplace": {"country":"USA", "city": "New York"}}'
fuego add nobel '{"name": "Gerard Mourou", "year": 2018, "birthplace": {"country":"FRA", "city": "Albertville"}}'
fuego add nobel '{"name": "Donna Strickland", "year": 2018, "birthplace": {"country":"CAN", "city": "Guelph"}}'
fuego add nobel '{"name": "Rainer Weiss", "year": 2017, "birthplace": {"country":"DEU", "city": "Berlin"}}'
fuego add nobel '{"name": "Kip Thorne", "year": 2017, "birthplace": {"country":"USA", "city": "Logan"}}'
fuego add nobel '{"name": "Barry Barish", "year": 2017, "birthplace": {"country":"USA", "city": "Omaha"}}'
fuego add nobel '{"name": "David Thouless", "year": 2016, "birthplace": {"country":"GBR", "city": "Bearsden"}}'

We can query the full collection:

fuego query nobel
# Prints all our nobel laureates like this:
# [
#    {
#        "CreateTime": "2019-02-26T02:39:45.293936Z",
#        "Data": {
#            "birthplace": {
#                "city": "Bearsden",
#                "country": "GBR"
#            },
#            "name": "David Thouless",
#            "year": 2016
#        },
#        "ID": "BJseSVoBatOOt8gcwZWx",
#        "ReadTime": "2019-02-26T02:55:19.419627Z",
#        "UpdateTime": "2019-02-26T02:39:45.293936Z"
#    },
# .... etc

Which will fetch and display the documents in the collection, unfiltered. By default, fuego will fetch only 100 documents. You can change the limit using the --limit flag.

You can also order the results using the --orderby and --orderdir flags. For example, to sort our Nobel laureates by country of origin, in ascending order:

fuego query --orderby birthplace.country --orderdir ASC nobel

You can add filters, using the firestore supported operators (>, <, >=, <=, ==, in, array-contains or array-contains-any). You can combine several filters in a single query. For example, to get the 2018 Nobel laureates from the USA:

fuego query nobel 'birthplace.country == "USA"' 'year == 2018'

which will print:

[
    {
        "CreateTime": "2019-02-26T02:14:02.692077Z",
        "Data": {
            "birthplace": {
                "city": "New York",
                "country": "USA"
            },
            "name": "Arthur Ashkin",
            "year": 2018
        },
        "ID": "glHCUu7EZ3gkuDaVlXqv",
        "ReadTime": "2019-02-26T03:00:15.576398Z",
        "UpdateTime": "2019-02-26T02:59:55.889775Z"
    }
]

Let's say we want to find the least recent Nobel from the USA, we can write the following query:

fuego query --limit 1 --orderby year --orderdir ASC nobel "birthplace.country == 'USA'" 

oops, we get the following error from the server, because our query needs an index to work:

rpc error: code = FailedPrecondition desc = The query requires an index. 
You can create it here: 
https://console.firebase.google.com/project/myproject/database/firestore/indexes?create_index=EgVub2JlbBoWChJiaXJ0aH....

After creating the index, we re-run the query and now we obtain:

[
    {
        "CreateTime": "2019-02-26T02:39:44.458647Z",
        "Data": {
            "birthplace": {
                "city": "Omaha",
                "country": "USA"
            },
            "name": "Barry Barish",
            "year": 2017
        },
        "ID": "ainH3nkOA2xusEBON2An",
        "ReadTime": "2019-02-26T03:12:07.156643Z",
        "UpdateTime": "2019-02-26T02:39:44.458647Z"
    }
]

Value and field path types in filters

I our previous examples, all the segments of the path part of a filter contained alphanumeric or the _ character and did not start with a number. When this conditions are met, they can be written unquoted. Otherwise, they need to be unquoted.

fuego query weirdcollection 'really."    ".strage." but valid ".fieldname == "even blank keys are valid"'

As for values, numeric, string, boolean (true or false) and timestamp values are supported in filters. Examples of queries:

"age >= 34", "name == 'paul'", "married == true", and "birthday == 1977-06-28T04:00:00Z"

Note that timestamps values should use the RFC3339 format and should not be quoted. Boolean values are represented by the unquoted true and false strings.

Arrays values should be expressed as in the following example. Notice that items are separated by space:

fuego query cities 'name in ["bogota" "cali" "medellin"]'

Selecting specific fields

Use the --select flag to explicitely ask for the specific fields you want to be retrieved (you can define many using several --select)

fuego query --select name --select year --limit 1 --orderby year --orderdir ASC nobel "birthplace.country == 'USA'" 

Pagination of query results

There are two ways to page through query results.

First you can use the firestore pagination parameters to manually page through results. Combining --limit with the flags --startat, --startafter, --endat, and --endbefore, which all accept the ID of a document.

Second you can use the --batch parameter. This will cause fuego to do the pagination internally. This is helpful for very big queries which hit the firestore query timeout (about a minute). Very likely you will have to increase the --limit parameter from its default.

Group queries

You can make group queries by using the -g flag.

Copying

Basic usage

fuego copy source target

Copying collection

We can copy a collection and its sub collections

fuego copy countries/france/cities countries/germany/cities 

By default, existing documents in target collection will be skipped. If you want to overwrite the existing document, just use --overwrite

fuego copy countries/france/cities countries/germany/cities --overwrite

Also, using flag --merge let us can use merging mode to overwrite the existing documents

fuego copy countries/france/cities countries/germany/cities --overwrite --merge

Copying document

We can copy a document and its sub collections.

fuego copy countries/france countries/germany

Parameters --merge and --overwrite can also be used to specify the copying behavior.

Cross projects copying

We may have firestore in different Google projects. We can specify the source project credential by using --src-credentials (or -sc) and target project credential by using --dest-credentials (or -dc). The default value of the --src-credentials and --dest-credentials is our current working project.

fuego copy countries/france countries/germany --src-credentials ./project-a-key.json --dest-credentials ./project-b-key.json --overwrite --merge
fuego copy countries/france/cities countries/germany/cities --src-credentials ./project-a-key.json --dest-credentials ./project-b-key.json

We may also have a credential that has access to different projects. We can specify the source project ID by --src-projectid (or -sp) and target project ID by using --dest-projectid (or -dp). The default value of the --src-prjectid and --dest-prjectid is the ID of our current working project.

fuego copy countries/france countries/germany --src-projectid project-a --dest-projectid project-b --overwrite --merge
fuego copy countries/france/cities countries/germany/cities --dest-projectid prject-c