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 poli
This is an era of big data outbreaks. In the face of the torrent of information, the emergence of diversified data, we in the acquisition, storage, transmission, understanding, analysis, application, maintenance of big data, there is no doubt that a convenient information exchange channel, in order to quickly, effectively, accurately understand and harness the pr
InfluxDB data Retention Policies and influxdbretention
InfluxDB can process thousands of data records per second. To save all the data, it will occupy a lot of storage space. Sometimes we may not need to store all the historical data
http://IP:8083 through the page login to addA user name and password for Grafana connection influxdb use, user name password to define themselves650) this.width=650; "Src=" Http://s1.51cto.com/wyfs02/M02/8B/5C/wKioL1hKvFqipzqHAADpKCXGSYI319.png-wh_500x0-wm_3 -wmp_4-s_291862535.png "title=" 19.png "alt=" Wkiol1hkvfqipzqhaadpkcxgsyi319.png-wh_50 "/>Select Create user and query to create user " Enter your password according to the actual input username
Tags: style blog http io os using SP strong dataInfluxDB is an open source, distributed, time series, event, measurable and non-externally dependent database.Influxdb has three main features:
Time series (timeseries): You can use time-related functions (such as Max, Min, sum, etc.)
Metrics (Metric): You can calculate large amounts of data in real time
Events (Event): It supports arbitrary event d
Easticsearch data migration to Influxdb pythonRequirements: Easticsearch part of the data is migrated to Influxdb.See from Mysql,influxdb migration to Easticsearch, not seen from easticsearch migration to Influxdb, the migrated data
-latitude aggregation query.Compared to the traditional database, only the current value of the data is recorded, and the time series database records all the historical data. The query of time series data also always takes time as the filter condition.Influxdb Main Configuration[Meta] # where the Metadata/raft database is stored dir = "/var/lib/
Tags: python influxdbPython3 uses the requests module to send an interface request to the INFLUXDB HTTP API to write data, as follows:1. Create a database[python] view plain copy
Import Requests
posturl= ' http://192.168.220.128:8086/query '
data = {' q ': ' Create DATABASE mydb '}
Response = Requests.post (PostURL,
Tags: return storage guide Sort select CentOS init ase IDEnvironment: centos6.5_x64Influxdb version: 1.1.0 Data compression can be referenced by: https://docs.influxdata.com/influxdb/v1.1/concepts/storage_engine/#compression Influxdb different compression algorithms are used depending on the data type.
Int
This section will introduce the perfect Granafa dashboard, on the basis of the previous section, and present some of its own summary and views of the monitoring data You can have a dashboard similar to this one that will introduceMonitoring Zimbra CollaborationThis section of the environment uses the CENTOS7 system, the configuration is the same as described in the previous section, but Telegraf is enterprise-level monitoring to add a lot of reliable
Data type
Integral typeFloating point TypeBoolean typeStringArrayObject
Conversion between types(int) $val; Convert to integral type
(float) $val; Convert to floating point type
(string) $val; Convert to String
(bool) $val; Convert to Boolean type
(array) $val; Converts an array that contains only one element of $val. [$val]
(object) $val; Convert to an object, the scalar property of the object points to $
:00:00Z 4.318944629367029
2015-09-02T00:00:00Z 4.363877681204781
2015-09-12T00:00:00Z 4.698114708116322
?2015-09-22T00:00:00Z -100Example 3Use fill() with none : SELECT MEAN(water_level) FROM h2o_feet WHERE time >= ‘2015-08-18‘ AND time Results name: h2o_feet
--------------
time mean
2015-08-13T00:00:00Z 4.306212083333323
2015-08-23T00:00:00Z 4.318944629367029
2015-09-02T00:00:00Z 4.363877681204781
2015-09-12T00:00:00Z 4.69811470811633
?Note: If you use Group (in
Label:Hibernate API IntroductionIts interface is divided into the following categories: lAn interface that provides access to the operation of the database;Lan interface for configuring hibernate;LCallback InterfaceLAn interface that extends hibernate's functionality. Most of these interfaces are located in the Net.sf.hibernate packageHibernate 's core interface 5 Core interfaces: lConfiguration Interface: Configure Hibernate, Root start Hibernate, create Sessionfactory objects. LSessionfactory
Data Types supported by Mysql (Summary of column types) and mysql Data Types
I. Numerical type
Mysql supports all numeric types in standard SQL, including strict data
Basic JavaScript data types and types detection, javascript Data Types1. [basic JavaScript Data Types] JavaScript has dynamic types. This means that the same variables can be of differe
Four basic data types in javascript: numeric values (integers and real numbers), string literals (characters or values enclosed by "" or "), Boolean (make True or false), and null values. The data in the basic type of JavaScript can be constants or variables. Because JavaScript takes the form of a weak type, a variable or constant of a
Javascript implements code instances similar to asp data dictionary data types, js Data Types
First declare an array:Copy codeThe Code is as follows:Var dictNew = new Array;
Var key;
Var value;
For (var I = 0; I
// Obtain the key-value pair to be added to the
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