Script Format

• InputFormat: com.thinkaurelius.faunus.formats.script.ScriptInputFormat
• OutputFormat: com.thinkaurelius.faunus.formats.script.ScriptOutputFormat

ScriptInputFormat and ScriptOutputFormat take an arbitrary Gremlin script and use that script to either read or write FaunusVertex objects, respectively. This can be considered the most general InputFormat/OutputFormat possible in that Faunus uses the user provided script for all reading/writing.

Script InputFormat Support

The data below represents an adjacency list representation of an untyped, directed graph. First line reads, “vertex 0 has no outgoing edges.” The second line reads, “vertex 1 has an outgoing edge to vertices 4, 3, 2, and 0.”

0:
1:4,3,2,0
2:5,3,1
3:11,6,1,2
4:
5:
6:
7:8,9,10,11,1
8:
9:
10:
11:6

There is no corresponding InputFormat that can parse this particular file (or some adjacency list variant of it). As such, ScriptInputFormat can be used. With ScriptInputFormat a Gremlin-Groovy script is stored in HDFS and leveraged by each mapper in the Faunus job. The Gremlin-Groovy script must have the following method defined:

def boolean read(FaunusVertex vertex, String line) { ... }

An appropriate read() for the above adjacency list file is:

def boolean read(FaunusVertex vertex, String line) {
    parts = line.split(':');
    vertex.reuse(Long.valueOf(parts[0]))
    if (parts.length == 2) {
        parts[1].split(',').each {
            vertex.addEdge(Direction.OUT, 'linkedTo', Long.valueOf(it));
        }
    }
  return true;
}

Note that to avoid object creation overhead, the previous vertex is provided to the next parse. The vertex can be “reused” with the FaunusVertex.reuse(long id) method which wipes all previous data. The resultant boolean denotes whether the line parsed yielded a valid FaunusVertex. As such, if the line is not valid (e.g. a comment line, a skip line, etc.), then simply return false.

The above files are provided with the Faunus distribution and can be used from the Gremlin REPL.

gremlin> hdfs.copyFromLocal('data/ScriptInput.groovy','ScriptInput.groovy')
==>null
gremlin> hdfs.copyFromLocal('data/graph-of-the-gods.id','graph-of-the-gods.id')
==>null
gremlin> hdfs.ls()
==>rw-r--r-- marko supergroup 868 ScriptInput.groovy
==>rw-r--r-- marko supergroup 69 graph-of-the-gods.id
gremlin> g = FaunusFactory.open('bin/script-input.properties')
==>faunusgraph[scriptinputformat->graphsonoutputformat]
gremlin> g.getConf('faunus')
==>faunus.output.location.overwrite=true
==>faunus.graph.output.format=com.thinkaurelius.faunus.formats.graphson.GraphSONOutputFormat
==>faunus.input.location=graph-of-the-gods.id
==>faunus.graph.input.script.file=ScriptInput.groovy
==>faunus.graph.input.format=com.thinkaurelius.faunus.formats.script.ScriptInputFormat
==>faunus.output.location=output
==>faunus.sideeffect.output.format=org.apache.hadoop.mapreduce.lib.output.TextOutputFormat
==>faunus.graph.input.edge-copy.direction=OUT
gremlin> g._
13/04/16 12:35:06 INFO mapreduce.FaunusCompiler: Compiled to 2 MapReduce job(s)
13/04/16 12:35:06 INFO mapreduce.FaunusCompiler: Executing job 1 out of 2: MapSequence[com.thinkaurelius.faunus.formats.EdgeCopyMapReduce.Map, com.thinkaurelius.faunus.formats.EdgeCopyMapReduce.Reduce]
...
gremlin> hdfs.head('output')
==>{"_id":0,"_inE":[{"_label":"linkedTo","_id":-1,"_outV":1}]}
==>{"_id":1,"_outE":[{"_label":"linkedTo","_id":-1,"_inV":4},{"_label":"linkedTo","_id":-1,"_inV":3},{"_label":"linkedTo","_id":-1,"_inV":2},{"_label":"linkedTo","_id":-1,"_inV":0}],"_inE":[{"_label":"linkedTo","_id":-1,"_outV":3},{"_label":"linkedTo","_id":-1,"_outV":7},{"_label":"linkedTo","_id":-1,"_outV":2}]}
==>{"_id":2,"_outE":[{"_label":"linkedTo","_id":-1,"_inV":5},{"_label":"linkedTo","_id":-1,"_inV":3},{"_label":"linkedTo","_id":-1,"_inV":1}],"_inE":[{"_label":"linkedTo","_id":-1,"_outV":3},{"_label":"linkedTo","_id":-1,"_outV":1}]}
==>{"_id":3,"_outE":[{"_label":"linkedTo","_id":-1,"_inV":11},{"_label":"linkedTo","_id":-1,"_inV":6},{"_label":"linkedTo","_id":-1,"_inV":1},{"_label":"linkedTo","_id":-1,"_inV":2}],"_inE":[{"_label":"linkedTo","_id":-1,"_outV":1},{"_label":"linkedTo","_id":-1,"_outV":2}]}
==>{"_id":4,"_inE":[{"_label":"linkedTo","_id":-1,"_outV":1}]}
==>{"_id":5,"_inE":[{"_label":"linkedTo","_id":-1,"_outV":2}]}
==>{"_id":6,"_inE":[{"_label":"linkedTo","_id":-1,"_outV":11},{"_label":"linkedTo","_id":-1,"_outV":3}]}
==>{"_id":7,"_outE":[{"_label":"linkedTo","_id":-1,"_inV":8},{"_label":"linkedTo","_id":-1,"_inV":9},{"_label":"linkedTo","_id":-1,"_inV":10},{"_label":"linkedTo","_id":-1,"_inV":11},{"_label":"linkedTo","_id":-1,"_inV":1}]}
==>{"_id":8,"_inE":[{"_label":"linkedTo","_id":-1,"_outV":7}]}
==>{"_id":9,"_inE":[{"_label":"linkedTo","_id":-1,"_outV":7}]}
==>{"_id":10,"_inE":[{"_label":"linkedTo","_id":-1,"_outV":7}]}
==>{"_id":11,"_outE":[{"_label":"linkedTo","_id":-1,"_inV":6}],"_inE":[{"_label":"linkedTo","_id":-1,"_outV":3},{"_label":"linkedTo","_id":-1,"_outV":7}]}

Note that the resultant graph has both incoming and outgoing edges even though the input graph dataset was an adjacency list which only denotes outgoing edges. The EdgeCopyMapReduce step was activated to overlay the graph transpose appropriately (see faunus.graph.input.edge-copy.direction property).

Script OutputFormat Support

The principle above can also be used for writing a <NullWritable,FaunusVertex> stream back to a file in HDFS. This is the role of ScriptOutputFormat. ScriptOutputFormat requires that the provided script maintains a method with the following signature:

def void write(FaunusVertex vertex, DataOutput output) { ... }

Note the following ScriptOutput.groovy file distributed with Faunus.

def void write(FaunusVertex vertex, DataOutput output) {
    output.writeUTF(vertex.getId().toString() + ':');
    Iterator<Edge> itty = vertex.getEdges(OUT).iterator()
    while (itty.hasNext()) {
        output.writeUTF(itty.next().getVertex(IN).getId().toString());
        if (itty.hasNext())
            output.writeUTF(',');
    }
    output.writeUTF('\n');
}

gremlin> hdfs.copyFromLocal('data/graph-of-the-gods.json','graph-of-the-gods.json')
==>null
gremlin> hdfs.copyFromLocal('data/ScriptOutput.groovy','ScriptOutput.groovy')
==>null
gremlin> g = FaunusFactory.open('bin/script-output.properties')
==>faunusgraph[graphsoninputformat->scriptoutputformat]
gremlin> g.getConf('faunus')
==>faunus.output.location.overwrite=true
==>faunus.graph.output.format=com.thinkaurelius.faunus.formats.script.ScriptOutputFormat
==>faunus.graph.output.script.file=ScriptOutput.groovy
==>faunus.input.location=graph-of-the-gods.json
==>faunus.graph.input.format=com.thinkaurelius.faunus.formats.graphson.GraphSONInputFormat
==>faunus.output.location=output
==>faunus.sideeffect.output.format=org.apache.hadoop.mapreduce.lib.output.TextOutputFormat
gremlin> g._
13/04/16 14:40:06 INFO mapreduce.FaunusCompiler: Compiled to 1 MapReduce job(s)
13/04/16 14:40:06 INFO mapreduce.FaunusCompiler: Executing job 1 out of 1: MapSequence[com.thinkaurelius.faunus.mapreduce.IdentityMap.Map]
...
gremlin> hdfs.head('output')
==>0:
==>1:4,3,2,0
==>2:5,3,1
==>3:11,6,1,2
==>4:
==>5:
==>6:
==>7:8,9,10,11,1
==>8:
==>9:
==>10:
==>11:6