Better docs

This commit is contained in:
Joe Nelson
2014-12-25 14:28:06 -08:00
parent 30e9733719
commit 5eca8668ef
+121 -36
View File
@@ -2,55 +2,140 @@
[![Build Status](https://circleci.com/gh/begriffs/postgrest.png?circle-token=f723c01686abf0364de1e2eaae5aff1f68bd3ff2)](https://circleci.com/gh/begriffs/postgrest/tree/master)
### Installation
PostgREST serves a fully RESTful API from any existing PostgreSQL
database. It provides a cleaner, more standards-compliant, faster
API than you are likely to write from scratch.
```sh
brew install postgres
cabal install -j --enable-tests
### Demo
Try making requests to the live [demo server] with an HTTP client
such as [postman](http://www.getpostman.com/).
[video placeholder]
### Usage
Download [binaries for your platform] and invoke the program like so:
```bash
postgrest --db-host localhost --db-port 5432 \
--db-name my_db --db-user postgres \
--db-pass foobar --db-pool 200 \
--anonymous postgres --secure \
--port 3000
```
Example usage:
### Security
```sh
cabal run -d [database] -U [auth-role] -a [anonymous-role]
```
PostgREST handles authentication (HTTP Basic over SSL) and delegates
authorization to the role information defined in the database. This
ensures there is a single declarative source of truth for security.
When dealing with the database the server assumes the identity of
the currently authenticated user, and for the duration of the
connection cannot do anything the user themselves couldn't.
This will connect to a postgres DB at the url
`postgres://[auth-role]:@localhost:5432/[database]`.
Postgres 9.5 will soon support true [row-level
security](http://michael.otacoo.com/postgresql-2/postgres-9-5-feature-highlight-row-level-security/).
In the meantime what isn't yet implemented can be simulated with
triggers and security-barrier views. Because the possible queries
to the database are limited to certain templates using
[leakproof](http://blog.2ndquadrant.com/how-do-postgresql-security_barrier-views-work/)
functions, the trigger workaround does not compromise row-level
security.
You will need to provide two database roles (which are allowed to
be the same). One is called the authenticator role (`auth-role`
above) which should have enough privileges to read the `auth` table
in the `postgrest` schema if you intend to support multi-user
applications.
For example security patterns see the [security
guide](https://github.com/begriffs/postgrest/wiki/Security-and-Permissions).
The other role is for anonymous access (`anonymous-role` above).
Immediately upon acceping any unauthenticated HTTP connection postgrest
assumes this role in its queries to postgres. Give this role as
much or little permissions as you would like.
### Performance
### Running tests
If you're used to servers written in interpreted languages (or named
after precious gems), prepare to be pleasantly surprised by PostgREST
performance.
```sh
createuser --superuser --no-password postgrest_test
createdb -O postgrest_test -U postgres postgrest_test
Three factors contribute to the speed. First the server is written
in [Haskell](https://new-www.haskell.org/) using the
[Warp](http://www.yesodweb.com/blog/2011/03/preliminary-warp-cross-language-benchmarks)
HTTP server (aka a compiled language with lightweight threads).
Next it delegates as much calculation as possible to the database
including
cabal test --show-details=always --test-options="--color"
```
* Serializing JSON responses directly in SQL
* Data validation
* Authorization
* Combined row counting and retrieval
* Data post in single command (`returning *`)
### Distributing Heroku build
Finally it uses the database efficiently with the
[Hasql](https://nikita-volkov.github.io/hasql-benchmarks/) library
by
```sh
heroku create --stack=cedar --buildpack https://github.com/begriffs/heroku-buildpack-ghc.git
git push heroku master
* Reusing prepared statements
* Keeping a pool of db connections
* Using the Postgres binary protocol
* Being stateless to allow horizontal scaling
heroku config:set S3_ACCESS_KEY=abc
heroku config:set S3_SECRET_KEY=123
heroku config:set S3_BUCKET=s3://foo/bar
Ultimately the server (when load balanced) is constrained by database
performance. This may make it inappropriate for very large traffic
load. To learn more about scaling with Heroku and Amazon RDS see
the [performance guide](https://github.com/begriffs/postgrest/wiki/Performance-and-Scaling).
heroku run scripts/release_s3.sh
```
Other optimizations are possible, and some are outlined in the
[Future Features](#future-features).
### Acknowledgements
### Versioning
Thanks to [Adam Baker](https://github.com/adambaker) for code contributions and many fundamental design discussions. Also thanks to [Loop/Recur](https://looprecur.com) for open-source Fridays to advance the code, and for their courage to use this thing in real projects.
A robust long-lived API needs the freedom to exist in multiple
versions. PostgREST supports versioning through HTTP content
negotiation. Requests for a certain version translate into switching
which database schema to search for tables. PostgreSQL schema search
paths allow tables from earlier versions to be reused verbatim in
later versions.
To learn more, see the [guide to versioning](https://github.com/begriffs/postgrest/wiki/API-Versioning).
### Self-documention
Rather than writing and maintaining separate docs yourself let the
API explain its own affordances using HTTP. All PostgREST endpoints
respond to the OPTIONS verb and explain what they support as well
as the data format of their JSON payload.
The number of rows returned by an endpoint is reported by - and
limited with - range headers. More about
[that](http://begriffs.com/posts/2014-03-06-beyond-http-header-links.html).
There are more opportunities for self-documentation listed in [Future
Features](#future-features).
### Data Integrity
Rather than relying on an Object Relational Mapper and custom
imperative coding, this system requires you put declarative constraints
directly into your database. Hence no application can corrupt your
data (including your API server).
The PostgREST exposes HTTP interface with safeguards to prevent
surprises, such as enforcing idempotent PUT requests, and
See examples of [Postgres
constraints](http://www.tutorialspoint.com/postgresql/postgresql_constraints.htm)
and the [guide to routing](https://github.com/begriffs/postgrest/wiki/Routing).
### Future Features
* Watching endpoint changes with sockets and Postgres pubsub
* Specifying per-view HTTP caching
* Inferring good default caching policies from the Postgres stats
* Generating mock data to test clients
* Maintaining separate connection pools per role to avoid "set/reset
role" performance penalty
* Describe more relationships with Link headers
* Depending on accept headers, render OPTIONS as [RAML] or a
relational diagram
* Add two-legged auth with OAuth 1.0a(?)
* ... the other [issues](https://github.com/begriffs/postgrest/issues)
### Thanks
Thanks to [Adam Baker](https://github.com/adambaker) for code
contributions and many fundamental design discussions.