我有一个df中的IP地址列表。这些IP地址使用@ApplicationPath("/")
public class NfvDeployerApp extends Application{
private Set<Object> resources = new HashSet<Object>();
public NfvDeployerApp() {
resources.add(new ServiceMain());
}
}
在GET请求中发送到ARIN数据库，我有兴趣获取该IP地址的组织或客户。我在public static boolean initDB() {
if(initialized) {
return initialized;
} else {
deployedNffgSet = new ConcurrentHashMap<>();
NfvReaderFactory factory = NfvReaderFactory.newInstance();
try {
monitor = factory.newNfvReader();
} catch (NfvReaderException e) {
e.printStackTrace();
}
activeHosts = readHosts();
vnfCatalog = readVnfTypes();
monitorNffgs = readNffgs();
nffgNodesMap = new ConcurrentHashMap<>();
nffgHostsMap = new ConcurrentHashMap<>();
nffgNodeRelationships = new ConcurrentHashMap<>();
nffgHostsRelationships = new ConcurrentHashMap<>();
return true;
}
}
requests内使用了requests Session()，希望能够加快API调用速度。这是代码：
requests-futures添加常规FuturesSession() s = requests.Session()
session = FuturesSession(session=s, max_workers=10)
def getIPAddressOrganization(IP_Address):
url = 'https://whois.arin.net/rest/ip/' + IP_Address + '.json'
request = session.get(url)
response = request.result().json()
try:
organization = response['net']['orgRef']['@name']
except KeyError:
organization = response['net']['customerRef']['@name']
return organization
df['organization'] = df['IP'].apply(getIPAddressOrganization)
可以帮助提高性能，但requests Session()没有帮助（可能是由于我缺乏知识）。
requests-futures FuturesSession()应该如何与pandas一起使用，和/或是否有其他方法可以加快API调用的效果？