python influxdb

Tags: auth influxdb running his icon doc should group by ACKGrafana comes with a feature-rich data source plug-in influxdb. Supports rich query Editor, annotations, and templating (template) queries. Adding data sources (Adding the source) Click the top Grafana icon to open the side menu. In the Dashboards side menu under links, you should find a link called data sources. Click on the but

Influxdb and traditional database in the concept of a lot of different, this article will give you some basic concepts in the INFLUXDB, more influxdb detailed tutorial see: INFLUXDB Series of Learning Tutorials DirectoryINFLUXDB Technology Group: 580487672 (click to join)Comparison with nouns in traditional database

method is as follows)$ sudo supervisorctl$ shutdown$ sudo service supervisor start5. Finally, throw a python program to the server, timed to detect more than 90% of the alarm.I use the slack alarm, the use of the PY library:Https://pypi.python.org/pypi/psutilHttps://pypi.python.org/pypi/pyslack-realSimilarly, the PY program is also put into the Supervisord.(This alarm program, directly change the code of Cadvisor with Go implementation is also a very

It is necessary to understand the TPS and QPS of the database as an operational DBA, and what is TPS, the QPS, and the simple understanding is:QPS: Number of queries per second, which is the number of DML operations per second on the databaseTPS: Transaction per second, which is the number of DDL operations per second on the databaseBy understanding them, you can master the basic operational status of an instanceHow to visualize them is an artifact of DBA, this chapter mainly introduces the impl

InfluxDB is an open source distributed timing, event, and metrics database.Written in the Go language without external dependencies. Its design goal is to achieve distributed and horizontal scaling expansion.It has three main features:1. Time series (timeseries): You can use time-related functions (such as Max, Min, sum, etc.)2. Metrics (Metric): You can calculate large amounts of data in real time3. Eevents (Event): It supports arbitrary event dataCh

GRAFANA+TELEGRAF+INFLUXDB, using the client-side storage->web Interface display mode of operation, using UTP transmission data, and support custom charts, with good extensibility,grafana page presentation is more beautiful, more importantly influxdb provides python api, provides the Python API ,

INFLUXDB can process tens of thousands of data per second, saving all of this data in a large amount of storage space, and sometimes we may not need to store all of the historical data, so INFLUXDB introduced a data retention policy (Retention policies), Used to allow us to customize the data retention time. For more Influxdb detailed tutorials See:

1) count () functionReturns the number of non-null values in an (field) field.Grammar:SELECT COUNT (Example:>select COUNT (water_level) from H2o_feetname:h2o_feet--------------time count1970-01-01t00:0 0:00z 15258Description Water_level This field has a total of 15,258 data in the H2o_feet table.Note: The function in Influxdb will default to epoch 0 (1970-01-01t00:00:00z) as time if no time is specified.You can add a time condition to the where, as fo

best to design your query conditions first. Of course, any data you insert will automatically be added to the time column and counted as a nanosecond timestamp. The above is the basic concept of influx and the basic use of records, the following is the use of interface development. The tornado example is a RESTful query interface.Influx itself supports restful HTTP Api,python with direct encapsulation of interfaces that can be invoked, directly