中级
实现设备数据分区键设计
未完成
中级参考
代码结构已给出,请填写 ____ 处
def solve():
from pyodide.http import open_url
from io import StringIO
import pandas as pd
readings_csv = open_url(____).read()
readings = pd.read_csv(StringIO(____))
import datetime
def get_partition_key(____):
date_str = datetime.datetime.utcfromtimestamp(____).strftime(____)
prefix = device_id[:____]
return prefix + '____' + date_str
readings = readings.copy()
readings['____'] = readings.apply(lambda r: get_partition_key(____), axis=____)
partition_sizes = readings.groupby(____).size()
print(____)
for pk, count in partition_sizes.items():
print("____" + pk + "____" + str(____) + "____")
print("____" + str(len(____)))
print("____" + str(round(partition_sizes.mean(),____)))
示例
输入
solve()
期望输出
Partition distribution: ARD_20250601: 48 records ARD_20250602: 48 records ARD_20250603: 48 records ESP_20250601: 32 records ESP_20250602: 32 records ESP_20250603: 32 records GW-_20250601: 8 records GW-_20250602: 8 records GW-_20250603: 8 records PLC_20250601: 16 records PLC_20250602: 16 records PLC_20250603: 16 records RPI_20250601: 72 records RPI_20250602: 72 records RPI_20250603: 72 records Total partitions: 15 Avg records/partition: 35.2
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