py2neo.neo4j.ReadBatch.submit

All Samples(7) | Call(7) | Derive(0) | Import(0)

src/o/c/ocean-HEAD/scripts/ocean_small_exemplary_data.py ocean(Download)

    read_batch = neo4j.ReadBatch(graph_db)
    read_batch.append_cypher('MATCH n RETURN count(n)')
    print 'Nodes in graph initially ', read_batch.submit()
    print 'Erasing nodes and relations'
    read_batch.clear()

    # Sanity check
    read_batch.append_cypher('MATCH (n) RETURN count(n)')
    result = read_batch.submit()
    print 'Nodes in graph erased. Sanity check : ', result
    read_batch.clear()

src/o/c/ocean-HEAD/graph_workers/neo4j_wrapper.py ocean(Download)

    my_batch = neo4j.ReadBatch(graph_db)
    my_batch.append_cypher(cypher_query, params)
    result = my_batch.submit()
    if type(result) is py2neo.neo4j.Node: return [result]
    if type(result[0]) is py2neo.neo4j.Node: return result

        "and w.title = {news_title} \n" + "RETURN count(w)"
    my_batch.append_cypher(cypher_query, {"news_title" : news_title.encode("utf8")})
    results = my_batch.submit()
    return results[0]

        """
    )
    results = my_batch.submit()
    metanode = None
    for node in results[0]:

src/k/a/kaiso-0.17.1/kaiso/persistence.py kaiso(Download)

 
        # When upgrading to py2neo 1.6, consider changing this to batch.stream
        batch_result = batch.submit()
 
        def first_or_none(list_):

src/k/a/kaiso-HEAD/kaiso/persistence.py kaiso(Download)

 
        # When upgrading to py2neo 1.6, consider changing this to batch.stream
        batch_result = batch.submit()
 
        def first_or_none(list_):