recomendationservice: disable tracing b/c memleak
enabling the tracing interceptor/sampler causes an unbounded memory leak eventually OOMing the container. Signed-off-by: Ahmet Alp Balkan <ahmetb@google.com>
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1 changed files with 29 additions and 19 deletions
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@ -6,13 +6,14 @@ import time
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import random
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import random
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import os
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import os
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from opencensus.trace.ext.grpc import server_interceptor
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from opencensus.trace.samplers import always_on
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from opencensus.trace.exporters import stackdriver_exporter
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from opencensus.trace.exporters import print_exporter
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import googleclouddebugger
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import googleclouddebugger
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# TODO(morganmclean,ahmetb) tracing currently disabled due to memory leak (see TODO below)
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# from opencensus.trace.ext.grpc import server_interceptor
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# from opencensus.trace.samplers import always_on
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# from opencensus.trace.exporters import stackdriver_exporter
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# from opencensus.trace.exporters import print_exporter
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class RecommendationService(demo_pb2_grpc.RecommendationServiceServicer):
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class RecommendationService(demo_pb2_grpc.RecommendationServiceServicer):
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def ListRecommendations(self, request, context):
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def ListRecommendations(self, request, context):
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max_responses = 5
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max_responses = 5
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@ -26,47 +27,56 @@ class RecommendationService(demo_pb2_grpc.RecommendationServiceServicer):
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indices = random.sample(range(num_products), num_return)
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indices = random.sample(range(num_products), num_return)
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# fetch product ids from indices
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# fetch product ids from indices
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prod_list = [filtered_products[i] for i in indices]
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prod_list = [filtered_products[i] for i in indices]
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print("handling request: {}".format(prod_list))
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print("[Recv ListRecommendations] product_ids={}".format(prod_list))
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# build and return response
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# build and return response
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response = demo_pb2.ListRecommendationsResponse()
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response = demo_pb2.ListRecommendationsResponse()
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response.product_ids.extend(prod_list)
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response.product_ids.extend(prod_list)
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return response
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return response
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if __name__ == "__main__":
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if __name__ == "__main__":
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print("starting recommendationservice")
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print("initializing recommendationservice")
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try:
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sampler = always_on.AlwaysOnSampler()
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# TODO(morganmclean,ahmetb) enabling the tracing interceptor/sampler below
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exporter = stackdriver_exporter.StackdriverExporter()
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# causes an unbounded memory leak eventually OOMing the container.
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tracer_interceptor = server_interceptor.OpenCensusServerInterceptor(sampler, exporter)
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# ----
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except:
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# try:
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tracer_interceptor = server_interceptor.OpenCensusServerInterceptor()
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# sampler = always_on.AlwaysOnSampler()
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# exporter = stackdriver_exporter.StackdriverExporter()
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# tracer_interceptor = server_interceptor.OpenCensusServerInterceptor(sampler, exporter)
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# except:
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# tracer_interceptor = server_interceptor.OpenCensusServerInterceptor()
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try:
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try:
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googleclouddebugger.enable(
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googleclouddebugger.enable(
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module='recommendationserver',
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module='recommendationserver',
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version='1.0.0'
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version='1.0.0'
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)
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)
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except:
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except Exception, err:
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print("could not enable debugger")
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traceback.print_exc()
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pass
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pass
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# get port from $PORT envar
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port = os.environ.get('PORT', "8080")
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port = os.environ.get('PORT', "8080")
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# get product catalog service address from $PRODUCT_CATALOG_SERVICE_ADDR envar
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catalog_addr = os.environ.get('PRODUCT_CATALOG_SERVICE_ADDR', '')
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catalog_addr = os.environ.get('PRODUCT_CATALOG_SERVICE_ADDR', '')
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if catalog_addr == "":
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if catalog_addr == "":
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raise Exception('PRODUCT_CATALOG_SERVICE_ADDR environment not set')
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raise Exception('PRODUCT_CATALOG_SERVICE_ADDR environment variable not set')
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print("product catalog address: " + catalog_addr)
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print("product catalog address: " + catalog_addr)
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print("listening on port: " + port)
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# stub for product catalog service
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# stub for product catalog service
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channel = grpc.insecure_channel(catalog_addr)
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channel = grpc.insecure_channel(catalog_addr)
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stub = demo_pb2_grpc.ProductCatalogServiceStub(channel)
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stub = demo_pb2_grpc.ProductCatalogServiceStub(channel)
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# create gRPC server
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# create gRPC server
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server = grpc.server(futures.ThreadPoolExecutor(max_workers=10),interceptors=(tracer_interceptor,))
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server = grpc.server(futures.ThreadPoolExecutor(max_workers=10)) # ,interceptors=(tracer_interceptor,))
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# add class to gRPC server
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# add class to gRPC server
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demo_pb2_grpc.add_RecommendationServiceServicer_to_server(RecommendationService(), server)
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demo_pb2_grpc.add_RecommendationServiceServicer_to_server(RecommendationService(), server)
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# start server
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# start server
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print("listening on port: " + port)
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server.add_insecure_port('[::]:'+port)
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server.add_insecure_port('[::]:'+port)
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server.start()
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server.start()
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# keep alive
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# keep alive
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try:
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try:
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while True:
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while True:
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