barak/cayley
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Add transparent input decompression

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This supports gzip and bzip2 by magic number determination.

Trailing whitespace differences in documentation due to opinionated
editor.
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kortschak 2014-07-19 12:49:55 +09:30
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README.md
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@ -1,7 +1,7 @@
<p align="center">
<img src="static/branding/cayley_side.png?raw=true" alt="Cayley" />
</p>
Cayley is an open-source graph inspired by the graph database behind [Freebase](http://freebase.com) and Google's [Knowledge Graph](http://www.google.com/insidesearch/features/search/knowledge.html).
Cayley is an open-source graph inspired by the graph database behind [Freebase](http://freebase.com) and Google's [Knowledge Graph](http://www.google.com/insidesearch/features/search/knowledge.html).
Its goal is to be a part of the developer's toolbox where [Linked Data](http://linkeddata.org/) and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
@ -44,7 +44,7 @@ If you prefer to build from source, see the documentation on the wiki at [How to
`cd` to the directory and give it a quick test with:
```
./cayley repl --dbpath=testdata.nt
./cayley repl --dbpath=testdata.nt
```
You should see a `cayley>` REPL prompt. Go ahead and give it a try:
@ -69,17 +69,16 @@ cayley> graph.Vertex("dani").Out("follows").All()
**Sample Data**
For somewhat more interesting data, a sample of 30k movies from Freebase comes in the checkout.
For somewhat more interesting data, a sample of 30k movies from Freebase comes in the checkout.
```
gzip -cd 30kmoviedata.nt.gz > 30kmovies.nt
./cayley repl --dbpath=30kmovies.nt
./cayley repl --dbpath=30kmoviedata.nt.gz
```
To run the web frontend, replace the "repl" command with "http"
To run the web frontend, replace the "repl" command with "http"
```
./cayley http --dbpath=30kmovies.nt
./cayley http --dbpath=30kmoviedata.nt.gz
```
And visit port 64210 on your machine, commonly [http://localhost:64210](http://localhost:64210)
@ -89,7 +88,7 @@ And visit port 64210 on your machine, commonly [http://localhost:64210](http://l
The default environment is based on [Gremlin](http://gremlindocs.com/) and is simply a JavaScript environment. If you can write jQuery, you can query a graph.
You'll notice we have a special object, `graph` or `g`, which is how you can interact with the graph.
You'll notice we have a special object, `graph` or `g`, which is how you can interact with the graph.
The simplest query is merely to return a single vertex. Using the 30kmovies.nt dataset from above, let's walk through some simple queries:
@ -107,7 +106,7 @@ g.V("Humphrey Bogart").All()
// Follow links that are pointing In to our "Humphrey Bogart" node with the predicate "name".
g.V("Humphrey Bogart").In("name").All()
// Notice that "name" is a generic predicate in our dataset.
// Notice that "name" is a generic predicate in our dataset.
// Starting with a movie gives a similar effect.
g.V("Casablanca").In("name").All()
@ -129,7 +128,7 @@ And these pipelines continue...
g.V().Has("name","Casablanca")
.Out("/film/film/starring").Out("/film/performance/actor")
.Out("name").All()
// But this is starting to get long. Let's use a morphism -- a pre-defined path stored in a variable -- as our linkage
var filmToActor = g.Morphism().Out("/film/film/starring").Out("/film/performance/actor")