Beispiel #1
0
def serve():

    dse_username = os.getenv('KILLRVIDEO_DSE_USERNAME')
    dse_password = os.getenv('KILLRVIDEO_DSE_PASSWORD')
    dse_contact_points = os.getenv('KILLRVIDEO_DSE_CONTACT_POINTS', 'dse').split(',')
    service_port = os.getenv('KILLRVIDEO_SERVICE_PORT', '50101')

    file = open('config.json', 'r')
    config = json.load(file)

    default_consistency_level = config['DEFAULT_CONSISTENCY_LEVEL']

    # Initialize Cassandra Driver and Mapper
    load_balancing_policy = TokenAwarePolicy(DCAwareRoundRobinPolicy())
    profile = ExecutionProfile(consistency_level=ConsistencyLevel.name_to_value[default_consistency_level],
                               load_balancing_policy=load_balancing_policy)
    graph_profile = DseGraph.create_execution_profile('killrvideo_video_recommendations')

    auth_provider = None
    if dse_username:
        auth_provider = PlainTextAuthProvider(username=dse_username, password=dse_password)

    # Wait for Cassandra (DSE) to be up
    session = None
    while not session:
        try:
            session = Cluster(contact_points=dse_contact_points,
                              execution_profiles={EXEC_PROFILE_DEFAULT: profile, EXEC_PROFILE_GRAPH_DEFAULT: graph_profile},
                              auth_provider = auth_provider).connect("killrvideo")
        except (NoHostAvailable):
            logging.info('Waiting for Cassandra (DSE) to be available')
            time.sleep(10)

    # Additional retry loop to check if dummy keyspace exists
    while True:
        logging.info('Checking for schema to be created...')
        result = session.execute('SELECT keyspace_name FROM system_schema.keyspaces WHERE keyspace_name=\'kv_init_done\'')
        if result.one(): # any result indicates keyspace has been created
            break
        time.sleep(10)

    dse.cqlengine.connection.set_session(session)

    # Initialize GRPC Server
    grpc_server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))

    # Initialize Services (GRPC servicers with reference to GRPC Server and appropriate service reference
    CommentsServiceServicer(grpc_server, CommentsService(session=session))
    RatingsServiceServicer(grpc_server, RatingsService())
    SearchServiceServicer(grpc_server, SearchService(session=session))
    StatisticsServiceServicer(grpc_server, StatisticsService())
    SuggestedVideosServiceServicer(grpc_server, SuggestedVideosService(session=session))
    #UploadsServiceServicer(grpc_server, UploadsService())
    UserManagementServiceServicer(grpc_server, UserManagementService())
    VideoCatalogServiceServicer(grpc_server, VideoCatalogService(session=session))

    # Start GRPC Server
    grpc_server.add_insecure_port('[::]:' + service_port)
    grpc_server.start()

    # Keep application alive
    try:
        while True:
            time.sleep(_ONE_DAY_IN_SECONDS)
    except KeyboardInterrupt:
        grpc_server.stop(0)
Beispiel #2
0
# At the time of this blog post, dse_graph only supports gremlinpython version 3.2.x
# This script was tested using gremlinpython version 3.2.6

from dse.cluster import Cluster, GraphExecutionProfile, EXEC_PROFILE_GRAPH_DEFAULT, EXEC_PROFILE_GRAPH_SYSTEM_DEFAULT
from dse.graph import GraphOptions
from dse_graph import DseGraph
from gremlin_python.process.graph_traversal import __
from gremlin_python.structure.graph import Vertex

graph_name = 'modern'
ep_schema = GraphExecutionProfile(graph_options=GraphOptions(graph_name=graph_name))
ep = DseGraph.create_execution_profile(graph_name)

cluster = Cluster(execution_profiles={'schema': ep_schema, EXEC_PROFILE_GRAPH_DEFAULT: ep})
session = cluster.connect()

# Define schema
session.execute_graph("system.graph(name).create()", { 'name': graph_name }, execution_profile = EXEC_PROFILE_GRAPH_SYSTEM_DEFAULT)
session.execute_graph("schema.propertyKey('neighborhood').Bigint().create()", execution_profile = 'schema')
session.execute_graph("schema.propertyKey('name').Text().create()", execution_profile = 'schema')
session.execute_graph("schema.propertyKey('age').Bigint().create()", execution_profile = 'schema')
session.execute_graph("schema.propertyKey('weight').Float().create()", execution_profile = 'schema')
session.execute_graph("schema.vertexLabel('person').partitionKey('neighborhood').clusteringKey('name').properties('age').create()", execution_profile = 'schema')
session.execute_graph("schema.edgeLabel('knows').properties('weight').connection('person', 'person').create()", execution_profile = 'schema')

# Execute batch
batch = DseGraph.batch()
batch.add(__.addV('person').property('neighborhood', 0).property('name', 'bob').property('age', 23))
batch.add(__.addV('person').property('neighborhood', 0).property('name', 'alice').property('age', 21))
batch.add(__.addE('knows')
        .from_(Vertex({ 'neighborhood': 0, 'name': 'bob', '~label' : 'person' }))
Beispiel #3
0
def serve():

    file = open('config.json', 'r')
    config = json.load(file)

    service_port = config['SERVICE_PORT']
    service_host = config['SERVICE_HOST']
    etcd_port = config['ETCD_PORT']
    contact_points = config['CONTACT_POINTS']
    default_consistency_level = config['DEFAULT_CONSISTENCY_LEVEL']

    service_address = service_host + ":" + str(service_port)
    etcd_client = etcd.Client(host=service_host, port=etcd_port)

    # Wait for Cassandra (DSE) to be up, aka registered in etcd
    while True:
        try:
            etcd_client.read('/killrvideo/services/cassandra')
            break # if we get here, Cassandra is registered and should be available
        except etcd.EtcdKeyNotFound:
            logging.info('Waiting for Cassandra to be registered in etcd, sleeping 10s')
            time.sleep(10)

    # Initialize Cassandra Driver and Mapper
    profile = ExecutionProfile(consistency_level =
                               ConsistencyLevel.name_to_value[default_consistency_level])
    graph_profile = DseGraph.create_execution_profile('killrvideo_video_recommendations')
    cluster = Cluster(contact_points=contact_points,
                      execution_profiles={EXEC_PROFILE_DEFAULT: profile, EXEC_PROFILE_GRAPH_DEFAULT: graph_profile})

    session = cluster.connect("killrvideo")
    dse.cqlengine.connection.set_session(session)

    # Initialize GRPC Server
    grpc_server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))

    # Initialize Services (GRPC servicers with reference to GRPC Server and appropriate service reference
    CommentsServiceServicer(grpc_server, CommentsService(session=session))
    RatingsServiceServicer(grpc_server, RatingsService())
    SearchServiceServicer(grpc_server, SearchService(session=session))
    StatisticsServiceServicer(grpc_server, StatisticsService())
    SuggestedVideosServiceServicer(grpc_server, SuggestedVideosService(session=session))
    #UploadsServiceServicer(grpc_server, UploadsService())
    UserManagementServiceServicer(grpc_server, UserManagementService())
    VideoCatalogServiceServicer(grpc_server, VideoCatalogService(session=session))

    # Start GRPC Server
    grpc_server.add_insecure_port('[::]:' + str(service_port))
    grpc_server.start()

    # Register Services with etcd
    etcd_client.write('/killrvideo/services/CommentsService/killrvideo-python', service_address)
    etcd_client.write('/killrvideo/services/RatingsService/killrvideo-python', service_address)
    etcd_client.write('/killrvideo/services/SearchService/killrvideo-python', service_address)
    etcd_client.write('/killrvideo/services/StatisticsService/killrvideo-python', service_address)
    etcd_client.write('/killrvideo/services/SuggestedVideoService/killrvideo-python', service_address)
    #etcd_client.write('/killrvideo/services/UploadsService/killrvideo-python', service_address)
    etcd_client.write('/killrvideo/services/UserManagementService/killrvideo-python', service_address)
    etcd_client.write('/killrvideo/services/VideoCatalogService/killrvideo-python', service_address)

    # Keep application alive
    try:
        while True:
            time.sleep(_ONE_DAY_IN_SECONDS)
    except KeyboardInterrupt:
        grpc_server.stop(0)