datablend

// Create the graph
GraphDatabaseService graph = new EmbeddedGraphDatabase("yelp-graph");

Parser parser = new Parser("yelp_academic_dataset_business.json","yelp_academic_dataset_checkin.json");
Set<Business> businesses1 = parser.getBusinesses();
Set<Business> businesses2 = parser.getBusinesses();

// Double iteration
for (Business business1 : businesses1) {
  Transaction tx = graph.beginTx();

datablend

1. Datablend datastore:     9 sec                 (Macbook Pro Retina)
2. Oracle:                  14 sec (+55 %)        (4-node cluster)
3. Vertica:                 97 sec (+1077 %)      (4-node cluster)

datablend

1. Oracle HCC Query High:   262 Mb
2. Datablend datastore:     296 Mb (+13 %)
3. Oracle HCC Query Low:    361 Mb (+38 %)
4. Vertica:                 560 Mb (+113 %)

datablend

sourceValues = sourceRow.getValues();
for (sourceValue : sourceValues) {
  targetValues : rows[sourceValue].getValues();
  for (targetValue : targetValues) {
    if (sourceValues.contains(targetValue) {
      triangles++;
    }
  }
}

datablend

0 - 1 2 7 8 9
1 - 2 5
2 - 5 7479

datablend

0 - 1 7 8 9
1 - 2 5
2 - 0 5 7479

datablend

0 1
0 7
0 8
0 9
1 2
1 5
2 0
2 5
2 7489

datablend

-- Retrieve the input paramters
local inputCompound = ARGV[1];
local similarity = ARGV[2];

-- Get the number of fingerprints of the input compound
local countToFind = redis.call('scard', inputCompound .. ':f');

-- Calculate the max, min and number of fingerprints to consider
local maxFingerprints = math.floor(countToFind / similarity);
local minFingerprints = math.floor(countToFind * similarity);

datablend

RandomAccessMDLReader reader = new RandomAccessMDLReader(new File(...));
EncodingFingerprint fingerprinter = new Encoding2DMolprint();

// We will use a pipeline in order to speedup the persisting process
Pipeline p = jedis.pipelined();

// Iterate the compounds one by one
for (int i = 0; i < reader.getSize(); i++) {

  // Retrieve the molecule and the fingerprints for this molecule

datablend

Current relationships:
DavyUpdated -> knows -> Marko
Marko -> knows -> Peter

Relationships at checkpoint Tue Jul 23 20:21:17 CEST 2012:
Davy -> knows -> Marko