Arquiteturas de dados em tempo real com o MongoDB Cloud Manager e o Verizon 5G Edge

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ssh -i "mongovz.pem" ec2-user@ec2-54-68-26-68.us-west-2.compute.amazonaws.com

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sudo yum install cyrus-sasl cyrus-sasl-gssapi \
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     cyrus-sasl-plain krb5-libs libcurl \
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     lm_sensors-libs net-snmp net-snmp-agent-libs \
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     openldap openssl tcp_wrappers-libs xz-libs

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curl -OL https://cloud.mongodb.com/download/agent/automation/mongodb-mms-automation-agent-manager-10.30.1.6889-1.x86_64.rhel7.rpm
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sudo rpm -U mongodb-mms-automation-agent-manager-10.30.1.6889-1.x86_64.rhel7.rpm

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sudo mkdir -p /data
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sudo chown mongod:mongod /data
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sudo systemctl start mongodb-mms-automation-agent.service

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ssh -i "mongovz.pem" ec2-user@10.0.0.54

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from pymongo import MongoClient
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import time
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client = MongoClient('155.146.144.134', 27017)
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mydb = client["mydatabase"]
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mycol = mydb["customers"]
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mydict = { "name": "John", "address": "Highway 37" }
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# Load dataset
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for i in range(1000):
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    x = mycol.insert(mydict)
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# Measure reads from Parent Region
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edge_latency=[]
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for i in range(1000):
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    t1=time.time()
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    y = mycol.find_one({"name":"John"})
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    t2=time.time()
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    edge_latency.append(t2-t1)
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print(sum(edge_latency)/len(edge_latency))
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client = MongoClient('52.42.129.138', 27017)
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mydb = client["mydatabase"]
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mycol = mydb["customers"]
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mydict = { "name": "John", "address": "Highway 37" }
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# Measure reads from Wavelength Region
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edge_latency=[]
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for i in range(1000):
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    t1=time.time()
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    y = mycol.find_one({"name":"John"})
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    t2=time.time()
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    edge_latency.append(t2-t1)
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print(sum(edge_latency)/len(edge_latency))