influxdb-client-scala

The reference Scala client that allows query and write for the InfluxDB 2.x by Pekko Streams. The client is cross-built against Scala 2.12 and 2.13.

Documentation

This section contains links to the client library documentation.

• Product documentation, Getting Started
• Examples
• API Reference
• Changelog

Queries

The QueryScalaApi is based on the Pekko Streams.

The following example demonstrates querying using the Flux language:

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 InfluxDB2ScalaExample {
  implicit val system: ActorSystem = ActorSystem("it-tests")
  def main(args: Array[String]): Unit = {
    val influxDBClient = InfluxDBClientScalaFactory
      .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 = influxDBClient.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)
    influxDBClient.close()
    system.terminate()
  }
}

It is possible to parse a result line-by-line using the queryRaw method:

package example
import org.apache.pekko.actor.ActorSystem
import org.apache.pekko.stream.scaladsl.Sink
import com.influxdb.client.scala.InfluxDBClientScalaFactory
import scala.concurrent.Await
import scala.concurrent.duration.Duration
object InfluxDB2ScalaExampleRaw {
  implicit val system: ActorSystem = ActorSystem("it-tests")
  def main(args: Array[String]): Unit = {
    val influxDBClient = InfluxDBClientScalaFactory
      .create("http://localhost:8086", "my-token".toCharArray, "my-org")
    val fluxQuery = ("from(bucket: \"my-bucket\")\n"
      + " |> range(start: -5m)"
      + " |> filter(fn: (r) => (r[\"_measurement\"] == \"cpu\" and r[\"_field\"] == \"usage_system\"))"
      + " |> sample(n: 5, pos: 1)")
    //Result is returned as a stream
    val sink = influxDBClient.getQueryScalaApi().queryRaw(fluxQuery)
      //print results
      .runWith(Sink.foreach[String](it => println(s"Line: $it")))
    // wait to finish
    Await.result(sink, Duration.Inf)
    influxDBClient.close()
    system.terminate()
  }
}

Advanced Usage

Client configuration file

A client can be configured via configuration file. The configuration file has to be named as influx2.properties and has to be in root of classpath.

The following options are supported:

The influx2.readTimeout, influx2.writeTimeout and influx2.connectTimeout supports ms, s and m as unit. Default is milliseconds.

Configuration example

influx2.url=http://localhost:8086
influx2.org=my-org
influx2.bucket=my-bucket
influx2.token=my-token
influx2.logLevel=BODY
influx2.readTimeout=5s
influx2.writeTimeout=10s
influx2.connectTimeout=5s

and then:

val influxDBClient = InfluxDBClientScalaFactory.create();

Client connection string

A client can be constructed using a connection string that can contain the InfluxDBClientOptions parameters encoded into the URL.

val influxDBClient = InfluxDBClientScalaFactory
            .create("http://localhost:8086?readTimeout=5000&connectTimeout=5000&logLevel=BASIC", token)

The following options are supported:

The readTimeout, writeTimeout and connectTimeout supports ms, s and m as unit. Default is milliseconds.

Gzip support

InfluxDBClientScala does not enable gzip compress for http requests by default. If you want to enable gzip to reduce transfer data’s size, you can call:

influxDBClient.enableGzip();

Log HTTP Request and Response

The Requests and Responses can be logged by changing the LogLevel. LogLevel values are NONE, BASIC, HEADER, BODY. Note that applying the BODY LogLevel will disable chunking while streaming and will load the whole response into memory.

influxDBClient.setLogLevel(LogLevel.HEADERS)

Check the server status

Server availability can be checked using the influxDBClient.ping() endpoint.

Construct queries using the flux-dsl query builder

package example
import java.time.temporal.ChronoUnit
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 com.influxdb.query.dsl.Flux
import com.influxdb.query.dsl.functions.restriction.Restrictions
import scala.concurrent.Await
import scala.concurrent.duration.Duration
object InfluxDB2ScalaExampleDSL {
  implicit val system: ActorSystem = ActorSystem("it-tests")
  def main(args: Array[String]) {
    val influxDBClient = InfluxDBClientScalaFactory
      .create("http://localhost:8086", "my-token".toCharArray, "my-org")
    val mem = Flux.from("my-bucket")
      .range(-30L, ChronoUnit.MINUTES)
      .filter(Restrictions.and(Restrictions.measurement().equal("mem"), Restrictions.field().equal("used_percent")))
    //Result is returned as a stream
    val results = influxDBClient.getQueryScalaApi().query(mem.toString())
    //Example of additional result stream processing on client side
    val sink = results
      //filter on client side using `filter` built-in operator
      .filter(it => it.getValue.asInstanceOf[Double] > 55)
      //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)
    influxDBClient.close()
    system.terminate()
  }
}

Version

Scala 2.12

The latest version for Maven dependency:

<dependency>
  <groupId>com.influxdb</groupId>
  <artifactId>influxdb-client-scala_2.12</artifactId>
  <version>7.2.0</version>
</dependency>

Or when using with Gradle:

dependencies {
    implementation "com.influxdb:influxdb-client-scala_2.12:7.2.0"
}

Scala 2.13

The latest version for Maven dependency:

<dependency>
  <groupId>com.influxdb</groupId>
  <artifactId>influxdb-client-scala_2.13</artifactId>
  <version>7.2.0</version>
</dependency>

Or when using with Gradle:

dependencies {
    implementation "com.influxdb:influxdb-client-scala_2.13:7.2.0"
}

Snapshot Repository

The snapshots are deployed into OSS Snapshot repository.

Maven

<repository>
    <id>ossrh</id>
    <name>OSS Snapshot repository</name>
    <url>https://oss.sonatype.org/content/repositories/snapshots/</url>
    <releases>
        <enabled>false</enabled>
    </releases>
    <snapshots>
        <enabled>true</enabled>
    </snapshots>
</repository>

Gradle

repositories {
    maven { url "https://oss.sonatype.org/content/repositories/snapshots" }
}