我正在使用(使用DataFrameClient)以及两个标签将值(浮点数)写入Influx数据库中:ID和时间戳记
def write_to_influx(ID, value):
df = pandas.DataFrame(data=[value],index=pandas.date_range(start=datetime.utcnow(), periods=1, freq='S'), columns=['value'])
client.write_points(df, dataPointID, database="mydb")
在我的循环中,碰巧我连续多次写入同一数据库,如下所示:
while True:
value_1,value_2,value_3,value_4,value_5 = some_calculation(x,y,z)
write_to_influx(value_1, ID_1)
write_to_influx(value_2, ID_2)
write_to_influx(value_3, ID_3)
write_to_influx(value_4, ID_4)
write_to_influx(value_5, ID_5)
有人告诉我,可以将这些写请求批量处理成一个,这样可以减少Influx的负担。
实际上在遇到问题时,我从另一个脚本中偷了write_to_influx
方法。在文档中说
write_points(points, time_precision=None, database=None, retention_policy=None, tags=None, batch_size=None, protocol=u'json', consistency=None)
参数: 点(字典列表,每个词典代表一个点)–要写入数据库的点列表
但是使用write_to_influx(value_1, ID_1)
,不仅有字典,而且传递了数据点ID。
模拟已应用的方法和文档说明...如果我想将多个值写入多个数据点ID,是否应该传递字典列表和数据点ID列表?因为这似乎不起作用:
def write_values_to_influx(ID_list, value_list):
indexes=pandas.date_range(start=datetime.utcnow().replace(tzinfo=pytz.UTC), periods=1, freq='S')
dict_list=[]
for value in value_list:
df_new= pandas.DataFrame(data=[value],index=indexes)
dict_list.append(df_new)
client.write_points(dict_list, ID_list, database="mydb")
为True时:
value_1,value_2,value_3,value_4,value_5 = some_calculation(x,y,z)
ID_list=[ID_1,ID_2,ID_3,ID_4,ID_5]
value_list=[value_1,value_2,value_3,value_4,value_5]
write_values_to_influx(ID_list, value_list)
返回错误:
File "/vdp/base_functions.py", line 249, in write_values_to_influx
xyz@crVB | client.write_points(dict_list, ID_list, database="mydb")
xyz@crVB | File "/usr/lib/python3.6/site-packages/influxdb/_dataframe_client.py", line 123, in write_points
xyz@crVB | numeric_precision=numeric_precision)
xyz@crVB | File "/usr/lib/python3.6/site-packages/influxdb/_dataframe_client.py", line 282, in _convert_dataframe_to_lines
xyz@crVB | dataframe = dataframe.dropna(how='all').copy()
我的问题: 如何一次写入多个条目(到同一数据库)? write_points是write方法吗?还有DataFrameClient?