A RESTful API template (built with Go)
The goal of this project is to be an example/template/boilerplate of a relational database-backed REST HTTP API that has characteristics needed to ensure success in a high volume environment. This is geared this towards beginners, as I struggled with a lot of this over the past few years and would like to help others getting started.
The following is an in-depth walkthrough of this project. This walkthrough has a lot of detail. This is a demo API, so the "business" intent of it is to support basic CRUD (Create, Read, Update, Delete) operations for a movie database.
Go and PostgreSQL are required in order to run these APIs. In addition, several database objects must be created (see Database Setup below)
Assuming PostgreSQL is installed locally, the demo_ddl.sql script (DDL = Data Definition Language) located in the root directory needs to be run, however, there are some things to know. At the highest level, PostgreSQL has the concept of databases, separate from schemas. A database is a container of other objects (tables, views, functions, indexes, etc.). There is no limit no the number of databases inside a PostgreSQL server.
In the DDL script, the first statement creates a database called go_api_basic
:
create database go_api_basic
with owner postgres;
Using this database is optional; you can use the default
postgres
database or your user database or whatever you prefer. When connecting later, you can set the database to whatever is your preference. If you do choose to create a separate database like this, depending on what PostgreSQL IDE you're running the DDL in, you'll likely need to stop after this first statement, switch to this database, and then continue to run the remainder of the DDL statements.
The remainder of the statements create a schema (demo
) within the database:
create schema demo;
one table (demo.movie
):
create table demo.movie
(
movie_id uuid not null
constraint movie_pk
primary key,
extl_id varchar(250) not null,
title varchar(1000) not null,
rated varchar(10),
released date,
run_time integer,
director varchar(1000),
writer varchar(1000),
create_username varchar,
create_timestamp timestamp with time zone,
update_username varchar,
update_timestamp timestamp with time zone
);
alter table demo.movie owner to postgres;
create unique index movie_extl_id_uindex
on demo.movie (extl_id);
and one function (demo.create_movie
) used on create/insert:
create function demo.create_movie(p_id uuid, p_extl_id character varying, p_title character varying, p_rated character varying, p_released date, p_run_time integer, p_director character varying, p_writer character varying, p_create_client_id uuid, p_create_username character varying)
returns TABLE(o_create_timestamp timestamp without time zone, o_update_timestamp timestamp without time zone)
language plpgsql
as
$$
DECLARE
v_dml_timestamp TIMESTAMP;
v_create_timestamp timestamp;
v_update_timestamp timestamp;
BEGIN
v_dml_timestamp := now() at time zone 'utc';
INSERT INTO demo.movie (movie_id,
extl_id,
title,
rated,
released,
run_time,
director,
writer,
create_username,
create_timestamp,
update_username,
update_timestamp)
VALUES (p_id,
p_extl_id,
p_title,
p_rated,
p_released,
p_run_time,
p_director,
p_writer,
p_create_username,
v_dml_timestamp,
p_create_username,
v_dml_timestamp)
RETURNING create_timestamp, update_timestamp
into v_create_timestamp, v_update_timestamp;
o_create_timestamp := v_create_timestamp;
o_update_timestamp := v_update_timestamp;
RETURN NEXT;
END;
$$;
alter function demo.create_movie(uuid, varchar, varchar, varchar, date, integer, varchar, varchar, uuid, varchar) owner to postgres;
TL;DR - just show me how to install and run the code. Fork or clone the code.
git clone https://github.com/gilcrest/go-api-basic.git
To validate your installation and ensure you've got connectivity to the database, do the following:
Build the code from the program root directory
go build -o server
This sends the output of
go build
to a binary file calledserver
in the same directory.
When running the program binary, a number flags can be passed. Peter Bourgon's ff library is used to parse the flags. If your preference is to set configuration with environment variables, that is possible as well. Flags take precedence, so if a flag is passed, that will be used. A PostgreSQL database connection is required. If there is no flag set, then the program checks for a matching environment variable. If neither are found, the flag's default value will be used and, depending on the flag, may result in a database connection error.
Flag Name | Description | Environment Variable | Default |
---|---|---|---|
port | Port the server will listen on | PORT | 8080 |
log-level | zerolog logging level (debug, info, etc.) | LOG_LEVEL | debug |
log-level-min | sets the minimum accepted logging level | LOG_LEVEL_MIN | debug |
log-error-stack | If true, log full error stacktrace, else just log error | LOG_ERROR_STACK | false |
db-host | The host name of the database server. | DB_HOST | |
db-port | The port number the database server is listening on. | DB_PORT | 5432 |
db-name | The database name. | DB_NAME | |
db-user | PostgreSQL™ user name to connect as. | DB_USER | |
db-password | Password to be used if the server demands password authentication. | DB_PASSWORD |
If you choose to use environment variables instead of flags for connecting to the database, you can set these however you like (permanently in something like .bash_profile
if on a mac, etc. - see some notes here, but my preferred way is to run a bash script to set the environment variables temporarily for the current shell environment. I have included an example script file (setlocalEnvVars.sh
) in the /scripts/ddl
directory. The below statements assume you're running the command from the project root directory.
In order to set the environment variables using this script, first, in the file, set the environment variable values to whatever is appropriate for your environment:
export DB_NAME="go_api_basic"
export DB_USER="postgres"
export DB_PASSWORD=""
export DB_HOST="localhost"
export DB_PORT="5432"
Next, you'll need to set the script to executable
chmod +x ./scripts/setlocalEnvVars.sh
Finally, execute the file in the current shell environment:
source ./scripts/ddl/setlocalEnvVars.sh
./server -log-level=debug -db-host=localhost -db-port=5432 -db-name=go_api_basic -db-user=postgres -db-password=fakePassword
Upon running, you should see something similar to the following:
$ ./server -log-level=debug
{"level":"info","time":1618260160,"severity":"INFO","message":"minimum accepted logging level set to trace"}
{"level":"info","time":1618260160,"severity":"INFO","message":"logging level set to debug"}
{"level":"info","time":1618260160,"severity":"INFO","message":"log error stack global set to true"}
{"level":"info","time":1618260160,"severity":"INFO","message":"sql database opened for localhost on port 5432"}
{"level":"info","time":1618260160,"severity":"INFO","message":"sql database Ping returned successfully"}
{"level":"info","time":1618260160,"severity":"INFO","message":"database version: PostgreSQL 12.6 on x86_64-apple-darwin16.7.0, compiled by Apple LLVM version 8.1.0 (clang-802.0.42), 64-bit"}
{"level":"info","time":1618260160,"severity":"INFO","message":"current database user: postgres"}
{"level":"info","time":1618260160,"severity":"INFO","message":"current database: go_api_basic"}
With the server up and running, the easiest service to interact with is the ping
service. The idea of the service is a simple health check that returns a series of flags denoting health of the system (queue depths, database up boolean, etc.). For right now, the only thing it checks is if the database is up and pingable. I have left this service unauthenticated so there's at least one service that you can get to without having to have an authentication token, but in actuality, I would typically have every service behind a security token.
Use cURL GET request to call ping
:
curl -v --location --request GET 'http://127.0.0.1:8080/api/v1/ping'
The response looks like:
{
"path": "/api/v1/ping",
"request_id": "bvfklkdnf4q0afpuo30g",
"data": {
"db_up": true
}
}
The remainder of requests require authentication. I have chosen to use Google's Oauth2 solution for these APIs. In order to use Google's Oauth2, you need to setup a Client ID and Client Secret and obtain an access token. The instructions here are great. I recommend the Google Oauth2 Playground once you get setup to be able to easily get fresh access tokens for testing.
Once a user has authenticated through this flow, all calls to services (other than ping
) require that the Google access token be sent as a Bearer
token in the Authorization
header.
- If there is no token present, an HTTP 401 (Unauthorized) response will be sent and the response body will be empty.
- If a token is properly sent, the Google API is used to validate the token. If the token is invalid, an HTTP 401 (Unauthorized) response will be sent and the response body will be empty.
- If the token is valid, Google will respond with information about the user. The user's email will be used as their username as well as for authorization that it has been granted access to the API. If the user is not authorized to use the API, an HTTP 403 (Forbidden) response will be sent and the response body will be empty. The authorization is currently hard-coded to allow for one email. Add your email at
/domain/auth/auth.go
in the Authorize function for testing. This is definitely not a production-ready way to do authorization. I will eventually switch to some ACL or RBAC library when I have time to research those, but for now, this works.
So long as you've got a valid token and are properly setup in the authorization function, you can then execute all four operations (create, read, update, delete) using cURL.
Create - use the POST
HTTP verb at /api/v1/movies
:
curl -v --location --request POST 'http://127.0.0.1:8080/api/v1/movies' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer ya29.a0AfH6SMCLdKNT34kqZt3RhMAm4movdW4jbnb1qk8s1yOhTW6IT6r6TfddWtrYWDGrQcgSUhBiH4NOGviBE-ZBDVGb-zfDsfApOSe5tGhq_vx_v-pjKUo5g-vfALt9l5TkkXQpZ18lD47U5HhQcmM7SpRE4VwVOw4JNbFfWAYGWuCjj5KxHti9xQ' \
--data-raw '{
"title": "Repo Man",
"rated": "R",
"release_date": "1984-03-02T00:00:00Z",
"run_time": 92,
"director": "Alex Cox",
"writer": "Courtney Cox"
}'
Read (All Records) - use the GET HTTP verb at /api/v1/movies
:
curl -v --location --request GET 'http://127.0.0.1:8080/api/v1/movies' \
--header 'Authorization: Bearer ya29.a0AfH6SMCLdKNT34kqZt3RhMAm4movdW4jbnb1qk8s1yOhTW6IT6r6TfddWtrYWDGrQcgSUhBiH4NOGviBE-ZBDVGb-zfDsfApOSe5tGhq_vx_v-pjKUo5g-vfALt9l5TkkXQpZ18lD47U5HhQcmM7SpRE4VwVOw4JNbFfWAYGWuCjj5KxHti9xQ' \
--data-raw ''
Read (Single Record) - use the GET HTTP verb at /api/v1/movies/:extl_id
with the movie "external ID" from the create (POST) as the unique identifier in the URL. I try to never expose primary keys, so I use something like an external id as an alternative key.
curl -v --location --request GET 'http://127.0.0.1:8080/api/v1/movies/BDylwy3BnPazC4Casn5M' \
--header 'Authorization: Bearer ya29.a0AfH6SMCLdKNT34kqZt3RhMAm4movdW4jbnb1qk8s1yOhTW6IT6r6TfddWtrYWDGrQcgSUhBiH4NOGviBE-ZBDVGb-zfDsfApOSe5tGhq_vx_v-pjKUo5g-vfALt9l5TkkXQpZ18lD47U5HhQcmM7SpRE4VwVOw4JNbFfWAYGWuCjj5KxHti9xQ' \
--data-raw ''
Update - use the PUT HTTP verb at /api/v1/movies/:extl_id
with the movie "external ID" from the create (POST) as the unique identifier in the URL.
curl --location --request PUT 'http://127.0.0.1:8080/api/v1/movies/BDylwy3BnPazC4Casn5M' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer ya29.a0AfH6SMCLdKNT34kqZt3RhMAm4movdW4jbnb1qk8s1yOhTW6IT6r6TfddWtrYWDGrQcgSUhBiH4NOGviBE-ZBDVGb-zfDsfApOSe5tGhq_vx_v-pjKUo5g-vfALt9l5TkkXQpZ18lD47U5HhQcmM7SpRE4VwVOw4JNbFfWAYGWuCjj5KxHti9xQ' \
--data-raw '{
"title": "Repo Man",
"rated": "R",
"release_date": "1984-03-02T00:00:00Z",
"run_time": 92,
"director": "Alex Cox",
"writer": "Alex Cox"
}'
Delete - use the DELETE HTTP verb at /api/v1/movies/:extl_id
with the movie "external ID" from the create (POST) as the unique identifier in the URL.
curl --location --request DELETE 'http://127.0.0.1:8080/api/v1/movies/BDylwy3BnPazC4Casn5M' \
--header 'Authorization: Bearer ya29.a0AfH6SMCLdKNT34kqZt3RhMAm4movdW4jbnb1qk8s1yOhTW6IT6r6TfddWtrYWDGrQcgSUhBiH4NOGviBE-ZBDVGb-zfDsfApOSe5tGhq_vx_v-pjKUo5g-vfALt9l5TkkXQpZ18lD47U5HhQcmM7SpRE4VwVOw4JNbFfWAYGWuCjj5KxHti9xQ'
Handling errors is really important in Go. Errors are first class citizens and there are many different approaches for handling them. Initially I started off basing my error handling almost entirely on a blog post from Rob Pike and created a carve-out from his code to meet my needs. It served me well for a long time, but found over time I wanted a way to easily get a stacktrace of the error, which led me to Dave Cheney's https://github.com/pkg/errors package. I now use a combination of the two.
Error handling throughout go-api-basic
always creates an error using the E
function from the errs
package as seen below. errs.E
, is derived from Rob Pike's package (but has been changed a lot). The errs.E
function call is variadic and can take several different types to form the custom Error
struct.
// Error is the type that implements the error interface.
// It contains a number of fields, each of different type.
// An Error value may leave some values unset.
type Error struct {
// User is the username of the user attempting the operation.
User UserName
// Kind is the class of error, such as permission failure,
// or "Other" if its class is unknown or irrelevant.
Kind Kind
// Param represents the parameter related to the error.
Param Parameter
// Code is a human-readable, short representation of the error
Code Code
// The underlying error that triggered this one, if any.
Err error
}
Here is a simple example of creating an error
:
err := errs.E("seems we have an error here")
When a string is sent, an error will be created using the errors.New
function from github.com/pkg/errors
and added to the Err
element of the struct, which allows a stacktrace to be generated later on if need be. In the above example, User
, Kind
, Param
and Code
would all remain unset.
You can, of course, choose to set any of the custom error values that you like, for example:
func (m *Movie) SetReleased(r string) (*Movie, error) {
t, err := time.Parse(time.RFC3339, r)
if err != nil {
return nil, errs.E(errs.Validation,
errs.Code("invalid_date_format"),
errs.Parameter("release_date"),
err)
}
m.Released = t
return m, nil
}
Above, we used errs.Validation
to set the errs.Kind
as Validation. Valid error Kind
are:
// Kinds of errors.
//
// The values of the error kinds are common between both
// clients and servers. Do not reorder this list or remove
// any items since that will change their values.
// New items must be added only to the end.
const (
Other Kind = iota // Unclassified error. This value is not printed in the error message.
Invalid // Invalid operation for this type of item.
Permission // Permission denied.
IO // External I/O error such as network failure.
Exist // Item already exists.
NotExist // Item does not exist.
Private // Information withheld.
Internal // Internal error or inconsistency.
BrokenLink // Link target does not exist.
Database // Error from database.
Validation // Input validation error.
Unanticipated // Unanticipated error.
InvalidRequest // Invalid Request
Unauthenticated // User did not properly authenticate
Unauthorized // User is not authorized for the resource
)
errs.Code
represents a short code to respond to the client with for error handling based on codes (if you choose to do this) and is any string you want to pass.
errs.Parameter
represents the parameter that is being validated or has problems, etc.
In addition, instead of passing a string and creating a new error inside the errs.E
function, I am just passing in the error received from the time.Parse
function and inside errs.E
the error is added to Err
using errors.WithStack
from the github.com/pkg/errors
package so that the stacktrace can be obtained later if needed.
There are a few helpers in the errs
package as well, namely the errs.MissingField
function which can be used when validating missing input on a field. This idea comes from this Mat Ryer post and is pretty handy.
Here is an example in practice:
// IsValid performs validation of the struct
func (m *Movie) IsValid() error {
switch {
case m.Title == "":
return errs.E(errs.Validation, errs.Parameter("title"), errs.MissingField("title"))
The error message for the above would read title is required
There is also errs.InputUnwanted
which is meant to be used when a field is populated with a value when it is not supposed to be.
Errors at their initial point of failure should always start with errs.E
, but as they move up the call stack, errs.E
does not need to be used. Errors should just be passed on up, like the following:
func inner() error {
return errs.E("seems we have an error here")
}
func middle() error {
err := inner()
if err != nil {
return err
}
return nil
}
func outer() error {
err := middle()
if err != nil {
return err
}
return nil
}
In the above example, the error is created in the inner
function - middle
and outer
return the error as is typical in Go.
At the top of the program flow for each service is the handler. In each handler, if any error occurs from any function/method calls, they are sent through the errs.HTTPErrorResponse
function along with the http.ResponseWriter
and a zerolog.Logger
.
For example:
// Call the NewMovie method for struct initialization
m, err := movie.NewMovie(uuid.New(), extlID, u)
if err != nil {
errs.HTTPErrorResponse(w, logger, err)
return
}
errs.HTTPErrorResponse
takes the custom Error
created by errs.E
and writes the HTTP response body as JSON as well as logs the error. If zerolog.ErrorStackMarshaler
is set to log error stacks (more about this later), the logger will log the full error stack, which can be super helpful when trying to identify issues. When the above error is returned to the client using the errs.HTTPErrorResponse
function in the each of the handlers, the response body JSON looks like the following:
{
"error": {
"kind": "input_validation_error",
"code": "invalid_date_format",
"param": "release_date",
"message": "parsing time \"1984a-03-02T00:00:00Z\" as \"2006-01-02T15:04:05Z07:00\": cannot parse \"a-03-02T00:00:00Z\" as \"-\""
}
}
and the error log looks like (I cut off parts of the stack for brevity):
{
"level": "error",
"ip": "127.0.0.1",
"user_agent": "PostmanRuntime/7.26.8",
"request_id": "bvol0mtnf4q269hl3ra0",
"stack": [{
"func": "E",
"line": "172",
"source": "errs.go"
}, {
"func": "(*Movie).SetReleased",
"line": "76",
"source": "movie.go"
}, {
"func": "(*MovieController).CreateMovie",
"line": "139",
"source": "create.go"
}, {
...
}],
"error": "parsing time \"1984a-03-02T00:00:00Z\" as \"2006-01-02T15:04:05Z07:00\": cannot parse \"a-03-02T00:00:00Z\" as \"-\"",
"HTTPStatusCode": 400,
"Kind": "input_validation_error",
"Parameter": "release_date",
"Code": "invalid_date_format",
"time": 1609650267,
"severity": "ERROR",
"message": "Response Error Sent"
}
Note:
E
will often be at the top of the stack as it is where theerrors.New
orerrors.WithStack
functions are being called. If you prefer not to see this, you can callerrors.New
orerrors.WithStack
as part of theerrs.E
call, for example:
err := errs.E(errors.New("seems we have an error here"))
I have finally finished adding all tests and refactoring as a result. I will be making a lot of progress on this README shortly.