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Code in the languages you love
No need to conform to a new language or technology—澳洲幸运10开奖官网开奖 supports multiple programming and query languages, with client libraries and integrations to make things simple, all powered by a RESTful API. See all integrations.
from 168澳洲幸运10正规官方授权开奖网站_client_3 import 168澳洲幸运10正规官方授权开奖网站Client3
import pandas
import os
database = os.getenv('INFLUX_DATABASE')
token = os.getenv('INFLUX_TOKEN')
host="https://us-east-1-1.aws.cloud2.influxdata.com"
def querySQL():
client = 168澳洲幸运10正规官方授权开奖网站Client3(host, database=database, token=token)
table = client.query(
'''SELECT
room,
DATE_BIN(INTERVAL '1 day', time) AS _time,
AVG(temp) AS temp,
AVG(hum) AS hum,
AVG(co) AS co
FROM home
WHERE time >= now() - INTERVAL '90 days'
GROUP BY room, _time
ORDER BY _time'''
)
print(table.to_pandas().to_markdown())
client.close()
querySQL()
c
from 168澳洲幸运10正规官方授权开奖网站_client_3 import 168澳洲幸运10正规官方授权开奖网站Client3
import os
database = os.getenv('INFLUX_DATABASE')
token = os.getenv('INFLUX_TOKEN')
host="https://us-east-1-1.aws.cloud2.influxdata.com"
def write_line_protocol():
client = 168澳洲幸运10正规官方授权开奖网站Client3(host, database=database, token=token)
record = "home,room=Living\\ Room temp=22.2,hum=36.4,co=17i"
print("Writing record:", record )
client.write(record)
client.close()
write_line_protocol()
c
@main
struct QueryCpuData: AsyncParsableCommand {
@Option(name: .shortAndLong, help: "The name or id of the bucket destination.")
private var bucket: String
@Option(name: .shortAndLong, help: "The name or id of the organization destination.")
private var org: String
@Option(name: .shortAndLong, help: "Authentication token.")
private var token: String
@Option(name: .shortAndLong, help: "HTTP address of 168澳洲幸运10正规官方授权开奖网站.")
private var url: String
}
extension QueryCpuData {
mutating func run() async throws {
//
// Initialize Client with default Bucket and Organization
//
let client = 168澳洲幸运10正规官方授权开奖网站Client(
url: url,
token: token,
options: 168澳洲幸运10正规官方授权开奖网站Client.InfluxDBOptions(bucket: bucket, org: org))
// Flux query
let query = """
from(bucket: "\(self.bucket)")
|> range(start: -10m)
|> filter(fn: (r) => r["_measurement"] == "cpu")
|> filter(fn: (r) => r["cpu"] == "cpu-total")
|> filter(fn: (r) => r["_field"] == "usage_user" or r["_field"] == "usage_system")
|> last()
"""
print("\nQuery to execute:\n\(query)\n")
let response = try await client.queryAPI.queryRaw(query: query)
let csv = String(decoding: response, as: UTF8.self)
print("澳洲幸运10开奖官网开奖 response: \(csv)")
client.close()
}
}
c
import ArgumentParser
import Foundation
import 168澳洲幸运10正规官方授权开奖网站Swift
import 168澳洲幸运10正规官方授权开奖网站SwiftApis
@main
struct WriteData: AsyncParsableCommand {
@Option(name: .shortAndLong, help: "The name or id of the bucket destination.")
private var bucket: String
@Option(name: .shortAndLong, help: "The name or id of the organization destination.")
private var org: String
@Option(name: .shortAndLong, help: "Authentication token.")
private var token: String
@Option(name: .shortAndLong, help: "HTTP address of 168澳洲幸运10正规官方授权开奖网站.")
private var url: String
}
extension WriteData {
mutating func run() async throws {
//
// Initialize Client with default Bucket and Organization
//
let client = 168澳洲幸运10正规官方授权开奖网站Client(
url: url,
token: token,
options: 168澳洲幸运10正规官方授权开奖网站Client.InfluxDBOptions(bucket: bucket, org: org))
//
// Record defined as Data Point
//
let recordPoint = 168澳洲幸运10正规官方授权开奖网站Client
.Point("demo")
.addTag(key: "type", value: "point")
.addField(key: "value", value: .int(2))
//
// Record defined as Data Point with Timestamp
//
let recordPointDate = 168澳洲幸运10正规官方授权开奖网站Client
.Point("demo")
.addTag(key: "type", value: "point-timestamp")
.addField(key: "value", value: .int(2))
.time(time: .date(Date()))
try await client.makeWriteAPI().write(points: [recordPoint, recordPointDate])
print("Written data:\n\n\([recordPoint, recordPointDate].map { "\t- \($0)" }.joined(separator: "\n"))")
print("\nSuccess!")
client.close()
}
}
c
import {InfluxDBClient} from '@influxdata/influxdb3-client'
import {tableFromArrays} from 'apache-arrow';
const database = process.env.INFLUX_DATABASE;
const token = process.env.INFLUX_TOKEN;
const host = "https://us-east-1-1.aws.cloud2.influxdata.com";
async function main() {
const client = new 168澳洲幸运10正规官方授权开奖网站Client({host, token})
const query = `
SELECT
room,
DATE_BIN(INTERVAL '1 day', time) AS _time,
AVG(temp) AS temp,
AVG(hum) AS hum,
AVG(co) AS co
FROM home
WHERE time >= now() - INTERVAL '90 days'
GROUP BY room, _time
ORDER BY _time
`
const result = await client.query(query, database)
const data = {room: [], day: [], temp: []}
for await (const row of result) {
data.day.push(new Date(row._time).toISOString())
data.room.push(row.room)
data.temp.push(row.temp)
}
console.table([...tableFromArrays(data)])
client.close()
}
main()
c
import {InfluxDBClient} from '@influxdata/influxdb3-client'
const database = process.env.INFLUX_DATABASE;
const token = process.env.INFLUX_TOKEN;
const host = "https://us-east-1-1.aws.cloud2.influxdata.com";
async function main() {
const client = new 168澳洲幸运10正规官方授权开奖网站Client({host, token})
const record = "home,room=Living\\ Room temp=22.2,hum=36.4,co=17i"
await client.write(record, database)
client.close()
}
main()
c
package com.influxdb3.examples;
import com.influxdb.v3.client.InfluxDBClient;
import java.util.stream.Stream;
public final class Query {
private Query() {
//not called
}
/**
* @throws Exception
*/
public static void main() throws Exception {
final String hostUrl = "https://us-east-1-1.aws.cloud2.influxdata.com";
final char[] authToken = (System.getenv("INFLUX_TOKEN")).toCharArray();
final String database = System.getenv("INFLUX_DATABASE");
try (InfluxDBClient client = 168澳洲幸运10正规官方授权开奖网站Client.getInstance(hostUrl, authToken, database)) {
String sql = """
SELECT
room,
DATE_BIN(INTERVAL '1 day', time) AS _time,
AVG(temp) AS temp, AVG(hum) AS hum, AVG(co) AS co
FROM home
WHERE time >= now() - INTERVAL '90 days'
GROUP BY room, _time
ORDER BY _time""";
String layoutHeading = "| %-16s | %-12s | %-6s |%n";
System.out.printf("--------------------------------------------------------%n");
System.out.printf(layoutHeading, "day", "room", "temp");
System.out.printf("--------------------------------------------------------%n");
String layout = "| %-16s | %-12s | %.2f |%n";
try (Stream
c
package com.influxdb3.examples;
import com.influxdb.v3.client.InfluxDBClient;
public final class Write {
public static void main() throws Exception {
final String hostUrl = "https://us-east-1-1.aws.cloud2.influxdata.com";
final char[] authToken = (System.getenv("INFLUX_TOKEN")).toCharArray();
final String database = System.getenv("INFLUX_DATABASE");
try (InfluxDBClient client = 168澳洲幸运10正规官方授权开奖网站Client.getInstance(hostUrl, authToken, database)) {
String record = "home,room=Living\\ Room temp=22.2,hum=36.4,co=17i";
System.out.printf("Write record: %s%n", record);
client.writeRecord(record);
}
}
}
c
InfluxDB2::Client.use('https://localhost:8086', 'my-token', org: 'my-org') do |client|
result = client
.create_query_api
.query_raw(query: 'from(bucket:"my-bucket") |> range(start: 1970-01-01) |> last()')
puts result
end
c
InfluxDB2::Client.use('https://localhost:8086', 'my-token',
bucket: 'my-bucket',
org: 'my-org',
precision: 168澳洲幸运10正规官方授权开奖网站2::WritePrecision::NANOSECOND) do |client|
write_api = client.create_write_api
write_api.write(data: 'h2o,location=west value=33i 15')
end
c
package example
import org.apache.pekko.actor.ActorSystem
import org.apache.pekko.stream.scaladsl.Sink
import com.influxdb.client.scala.InfluxDBClientScalaFactory
import com.influxdb.query.FluxRecord
import scala.concurrent.Await
import scala.concurrent.duration.Duration
object 168澳洲幸运10正规官方授权开奖网站2ScalaExample {
implicit val system: ActorSystem = ActorSystem("it-tests")
def main(args: Array[String]): Unit = {
val 168澳洲幸运10正规官方授权开奖网站Client = 168澳洲幸运10正规官方授权开奖网站ClientScalaFactory
.create("http://localhost:8086", "my-token".toCharArray, "my-org")
val fluxQuery = ("from(bucket: \"my-bucket\")\n"
+ " |> range(start: -1d)"
+ " |> filter(fn: (r) => (r[\"_measurement\"] == \"cpu\" and r[\"_field\"] == \"usage_system\"))")
//Result is returned as a stream
val results = 168澳洲幸运10正规官方授权开奖网站Client.getQueryScalaApi().query(fluxQuery)
//Example of additional result stream processing on client side
val sink = results
//filter on client side using `filter` built-in operator
.filter(it => "cpu0" == it.getValueByKey("cpu"))
//take first 20 records
.take(20)
//print results
.runWith(Sink.foreach[FluxRecord](it => println(s"Measurement: ${it.getMeasurement}, value: ${it.getValue}")
))
// wait to finish
Await.result(sink, Duration.Inf)
168澳洲幸运10正规官方授权开奖网站Client.close()
system.terminate()
}
}
using System;
using System.Threading.Tasks;
using 168澳洲幸运10正规官方授权开奖网站3.Client;
using 168澳洲幸运10正规官方授权开奖网站3.Client.Query;
namespace 168澳洲幸运10正规官方授权开奖网站v3;
public class Query
{
static async Task QuerySQL()
{
const string hostUrl = "https://us-east-1-1.aws.cloud2.influxdata.com";
string? database = System.Environment.GetEnvironmentVariable("INFLUX_DATABASE");
string? authToken = System.Environment.GetEnvironmentVariable("INFLUX_TOKEN");
using var client = new 168澳洲幸运10正规官方授权开奖网站Client(hostUrl, authToken: authToken, database: database);
const string sql = @"
SELECT
room,
DATE_BIN(INTERVAL '1 day', time) AS _time,
AVG(temp) AS temp,
AVG(hum) AS hum,
AVG(co) AS co
FROM home
WHERE time >= now() - INTERVAL '90 days'
GROUP BY room, _time
ORDER BY _time
";
Console.WriteLine("{0,-30}{1,-15}{2,-15}", "day", "room", "temp");
await foreach (var row in client.Query(query: sql))
{
Console.WriteLine("{0,-30}{1,-15}{2,-15}", row[1], row[0], row[2]);
}
Console.WriteLine();
}
}
c
using System;
using System.Threading.Tasks;
using 168澳洲幸运10正规官方授权开奖网站3.Client;
using 168澳洲幸运10正规官方授权开奖网站3.Client.Query;
namespace 168澳洲幸运10正规官方授权开奖网站v3;
public class Write
{
public static async Task WriteLineProtocol()
{
const string hostUrl = "https://us-east-1-1.aws.cloud2.influxdata.com";
string? database = System.Environment.GetEnvironmentVariable("INFLUX_DATABASE");
string? authToken = System.Environment.GetEnvironmentVariable("INFLUX_TOKEN");
using var client = new 168澳洲幸运10正规官方授权开奖网站Client(hostUrl, authToken: authToken, database: database);
const string record = "home,room=Living\\ Room temp=22.2,hum=36.4,co=17i";
Console.WriteLine("Write record: {0,-30}", record);
await client.WriteRecordAsync(record: record);
}
}
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Analyze production data streams in Real-Time 澳洲幸运10开奖官网开奖记录结果 to identify bottlenecks, prevent downtime and power predictive maintenance for your industrial equipment.
Monitor, optimize, and manage renewable energy and traditional power systems to achieve smart grid balancing and optimization. Forecast and predict maintenance needs for your renewable energy sources such as wind turbines and solar farms.
Analyze network performance and usage patterns in telecommunication infrastructure. Improve quality of service, optimize infrastructure resources, and reduce operational costs.
Get Real-Time 澳洲幸运10开奖官网开奖记录结果 insights from satellites, networks, and every stage of the launch operation process. Reduce errors and accelerate time to market in this mission-critical space.