#查詢cpu使用率大于等于10且內(nèi)存使用率大于等于10的所有字段數(shù)據(jù)
dataSet=collection.find({"cpu":{"$gte":10},"mem":{"$gte":10}})
for item in dataSet:
  print(item)

#查詢cpu使用率大于等于10且內(nèi)存使用率大于等于10的數(shù)據(jù)，字段只顯示did、ts、cpu、mem
dataSet=collection.find({"cpu":{"$gte":10},"mem":{"$gte":10}}, {"did":1,"ts":1,"cpu":1,"mem":1})
for item in dataSet:
  print(item)
#查詢cpu使用率等于0且內(nèi)存使用率等于0的數(shù)據(jù)，字段只顯示did、ts、cpu、mem
dataSet=collection.find({"cpu":0,"mem":0}, {"did":1,"ts":1,"cpu":1,"mem":1})
for item in dataSet:
  print(item)

#查詢cpu使用率大于等于10或者內(nèi)存使用率大于等于10的數(shù)據(jù)，字段只顯示did、ts、cpu、mem
dataSet=collection.find({"$or":[{"cpu":{"$gte":10}},{"mem":{"$gte":10}}]}, {"did":1,"ts":1,"cpu":1,"mem":1})
for item in dataSet:
  print(item)
#查詢cpu使用率等于10或者內(nèi)存使用率等于10的數(shù)據(jù)，字段只顯示did、ts、cpu、mem
dataSet=collection.find({"$or":[{"cpu":10},{"mem":10}]}, {"did":1,"ts":1,"cpu":1,"mem":1})
for item in dataSet:
  print(item)

#  > - $gt
#  < - $lt
#  >= - $gte
#  <= - $lte

#單列升序排序查詢，，1 為升序，-1為降序
dataSet=collection.find().sort([("cpu",1)])
for item in dataSet:
  print(item)
#多列排序查詢
dataSet=collection.find().sort([('did',pymongo.ASCENDING),('cpu',pymongo.DESCENDING)])
for item in dataSet:
  print(item)

#查詢cpu使用率大于等于10且內(nèi)存使用率大于等于10的數(shù)據(jù)，字段只顯示did、ts、cpu、mem，查詢結(jié)果寫入excel
import pandas as pd
dataSet=collection.find({"cpu":{"$gte":10},"mem":{"$gte":10}}, {"did":1,"ts":1,"cpu":1,"mem":1})
did,ts,cpu,mem=[],[],[],[]
for item in dataSet:
  did.append(item["did"])
  ts.append(item["ts"])
  cpu.append(item["cpu"])
  mem.append(item["mem"])
df=pd.DataFrame({"did":did,"ts":ts,"cpu":cpu,"mem":mem})
df.to_excel("C:/Users/Desktop/設(shè)備cpu內(nèi)存數(shù)據(jù).xlsx")

#下面表示跳過兩條數(shù)據(jù)后讀取數(shù)據(jù)
dataSet=collection.find().skip(2)
for item in dataSet:
  print(item)

#查詢cpu使用率大于20、did不重復(fù)的數(shù)據(jù)
dataSet=collection.distinct("did",{"cpu":{$gt:20}})
for item in dataSet:
  print(item)
#等同mysql的select distinct(did) from user where cpu>20