# 写入数据点,并设置精度为秒 client.write_points(data, time_precision='s')
from influxdb import InfluxDBClient client.write_points(entry, params={'epoch': 's'}) 但它会产生错误: 代码语言:javascript 复制 client.write_points(entry, params={'epoch': 's'}) TypeError: write_points() got an unexpected keyword argument 'params' 14660票数0 EN influxdb influxdb-python ...
写入数据库 write(data, params=None, expected_response_code=204, protocol=u’json’) 1. 写入多个时间序列名称 write_points(points, time_precision=None, database=None, retention_policy=None, tags=None, batch_size=None, protocol=u'json', consistency=None) 1. 2. 3....
examples influxdb_client _async _sync client util write __init__.py dataframe_serializer.py point.py retry.py __init__.py _base.py _pages.py authorizations_api.py bucket_api.py delete_api.py delete_api_async.py exceptions.py flux_csv_parser.py ...
client.write_points(json_body) result = client.query('select value from gpu_load_short;') print("Result: {0}".format(result)) influxdb是一个时间序列数据库。centos下载和安装命令 wget https://dl.influxdata.com/influxdb/releases/influxdb-1.2.4.x86_64.rpm ...
client_obj.write_points(data) ``` 这段代码将创建一个新的数据点对象,并将其插入到 "my_database" 数据库中。插入的数据点具有时间戳 "2023-07-03T00:00:00Z" 和值 1.23。 四、查询聚合统计 --- InfluxDB 支持聚合统计查询,可以使用 InfluxDBClient 进行执行。以下是一个聚合统计查询示例: ```python...
influxDBClient.getWriteApiBlocking().writePoints(points); Sometimes while writing I am getting the following error messagecom.influxdb.exceptions.UnprocessableEntityException: HTTP status code: 422; Message: failure writing points to database: partial write: points beyond retention policy droppe...
Proposal: You can specify the max body size of the influxdb and the client split the data points into correct batches. Current behavior: If you try to sent a bigger batch of datapoints with client.write_points(points). You get the error ...
write-timeout 写入超时时间10秒 max-concurrent-queries 最大并发查询数默认无限制 query-timeout 查询超时时间默认无限制 log-queries-after 慢查询检测。为慢查询则记录日志 max-select-point 最大的points数量。默认无限制 max-select-series 最大的series数量。默认无限制 ...
For each step of simulation, they write 8 points of data. This means that, roughly, there are 13,824,000 points to be written. The batch size is 5000; the Retry Buffer limit is 25,000; the Flush Interval is 5000ms. While I am writing this data, I am also simultaneously querying ...