Java client library for InfluxDB v3
The InfluxDB v3 influxdb3-java
Java client library integrates
with Java application code to write and query data stored in InfluxDB Cloud Serverless.
InfluxDB client libraries provide configurable batch writing of data to InfluxDB Cloud Serverless. Use client libraries to construct line protocol data, transform data from other formats to line protocol, and batch write line protocol data to InfluxDB HTTP APIs.
InfluxDB v3 client libraries can query InfluxDB Cloud Serverless using SQL or InfluxQL.
The influxdb3-java
Java client library wraps the Apache Arrow org.apache.arrow.flight.FlightClient
in a convenient InfluxDB v3 interface for executing SQL and InfluxQL queries, requesting
server metadata, and retrieving data from InfluxDB Cloud Serverless using the Flight protocol with gRPC.
Example: write and query data
The following example shows how to use influxdb3-java
to write and query data stored in InfluxDB Cloud Serverless.
package com.influxdata.demo;
import com.influxdb.v3.client.InfluxDBClient;
import com.influxdb.v3.client.Point;
import com.influxdb.v3.client.query.QueryOptions;
import com.influxdb.v3.client.query.QueryType;
import java.time.Instant;
import java.util.stream.Stream;
public class HelloInfluxDB {
private static final String HOST_URL = "https://cloud2.influxdata.com"; // your Cloud Serverless region URL
private static final String DATABASE = "DATABASE_NAME"; // your InfluxDB bucket
private static final char[] TOKEN = System.getenv("API_TOKEN"); // a local environment variable that stores your API token
// Create a client instance that writes and queries data in your bucket.
public static void main(String[] args) {
// Instantiate the client with your InfluxDB credentials
try (InfluxDBClient client = InfluxDBClient.getInstance(HOST_URL, TOKEN, DATABASE)) {
writeData(client);
queryData(client);
}
catch (Exception e) {
System.err.println("An error occurred while connecting to InfluxDB!");
e.printStackTrace();
}
}
// Use the Point class to construct time series data.
private static void writeData(InfluxDBClient client) {
Point point = Point.measurement("temperature")
.setTag("location", "London")
.setField("value", 30.01)
.setTimestamp(Instant.now().minusSeconds(10));
try {
client.writePoint(point);
System.out.println("Data is written to the bucket.");
}
catch (Exception e) {
System.err.println("Failed to write data to the bucket.");
e.printStackTrace();
}
}
// Use SQL to query the most recent 10 measurements
private static void queryData(InfluxDBClient client) {
System.out.printf("--------------------------------------------------------%n");
System.out.printf("| %-8s | %-8s | %-30s |%n", "location", "value", "time");
System.out.printf("--------------------------------------------------------%n");
String sql = "select time,location,value from temperature order by time desc limit 10";
try (Stream<Object[]> stream = client.query(sql)) {
stream.forEach(row -> System.out.printf("| %-8s | %-8s | %-30s |%n", row[1], row[2], row[0]));
}
catch (Exception e) {
System.err.println("Failed to query data from the bucket.");
e.printStackTrace();
}
}
}
Source: suyashcjoshi/SimpleJavaInfluxDB on GitHub
Replace the following:
DATABASE_NAME
: the name of your InfluxDB Cloud Serverless bucket to read and write data toAPI_TOKEN
: a local environment variable that stores your token–the token must have read and write permissions on the specified bucket.
Run the example to write and query data
Build an executable JAR for the project–for example, using Maven:
mvn package
In your terminal, run the
java
command to write and query data in your bucket:java \ --add-opens=java.base/java.nio=org.apache.arrow.memory.core,ALL-UNNAMED \ -jar target/PROJECT_NAME.jar
Include the following in your command:
--add-opens=java.base/java.nio=org.apache.arrow.memory.core,ALL-UNNAMED
: with Java version 9 or later and Apache Arrow version 16 or later, exposes JDK internals for Arrow. For more options, see the Apache Arrow Java install documentation.-jar target/PROJECT_NAME.jar
: your.jar
file to run.
The output is the newly written data from your InfluxDB Cloud Serverless bucket.
Installation
Include com.influxdb.influxdb3-java
in your project dependencies.
<dependency>
<groupId>com.influxdb</groupId>
<artifactId>influxdb3-java</artifactId>
<version>RELEASE</version>
</dependency>
dependencies {
implementation group: 'com.influxdb', name: 'influxdb3-java', version: 'latest.release'
}
Importing the client
The influxdb3-java
client library package provides
com.influxdb.v3.client
classes for constructing, writing, and querying data
stored in InfluxDB Cloud Serverless.
API reference
InfluxDBClient interface
InfluxDBClient
provides an interface for interacting with InfluxDB APIs for writing and querying data.
The InfluxDBClient.getInstance
constructor initializes and returns a client instance with the following:
- A write client configured for writing to the bucket.
- An Arrow Flight client configured for querying the bucket.
To initialize a client, call getInstance
and pass your credentials as one of
the following types:
Initialize with credential parameters
static InfluxDBClient getInstance(@Nonnull final String host,
@Nullable final char[] token,
@Nullable final String database)
host
(string): The host URL of the InfluxDB instance.database
(string): The bucket to use for writing and querying.token
(char array): A token with read/write permissions.
Example: initialize with credential parameters
package com.influxdata.demo;
import com.influxdb.v3.client.InfluxDBClient;
import com.influxdb.v3.client.Point;
import com.influxdb.v3.client.query.QueryOptions;
import com.influxdb.v3.client.query.QueryType;
import java.time.Instant;
import java.util.stream.Stream;
public class HelloInfluxDB {
private static final String HOST_URL = "https://cloud2.influxdata.com";
private static final String DATABASE = "DATABASE_NAME";
private static final char[] API_TOKEN = System.getenv("API_TOKEN");
// Create a client instance, and then write and query data in InfluxDB.
public static void main(String[] args) {
try (InfluxDBClient client = InfluxDBClient.getInstance(HOST_URL, API_TOKEN, DATABASE)) {
writeData(client);
queryData(client);
}
catch (Exception e) {
System.err.println("An error occurred while connecting with the serverless InfluxDB!");
e.printStackTrace();
}
}
}
Replace the following:
DATABASE_NAME
: your InfluxDB Cloud Serverless bucketAPI_TOKEN
: a local environment variable that stores your token–the token must have the necessary permissions on the specified bucket.
Default tags
To include default tags in
all written data, pass a Map
of tag keys and values.
InfluxDBClient getInstance(@Nonnull final String host,
@Nullable final char[] token,
@Nullable final String database,
@Nullable Map<String, String> defaultTags)
Initialize using a database connection string
"https://cloud2.influxdata.com"
+ "?token=API_TOKEN&database=DATABASE_NAME"
Replace the following:
DATABASE_NAME
: your InfluxDB Cloud Serverless bucketAPI_TOKEN
: a token that has the necessary permissions on the specified bucket.
InfluxDBClient instance methods
InfluxDBClient.writePoint
To write points as line protocol to a bucket:
- Initialize the
client
–your token must have write permission on the specified bucket. - Use the
com.influxdb.v3.client.Point
class to create time series data. - Call the
client.writePoint()
method to write points as line protocol in your bucket.
// Use the Point class to construct time series data.
// Call client.writePoint to write the point in your bucket.
private static void writeData(InfluxDBClient client) {
Point point = Point.measurement("temperature")
.setTag("location", "London")
.setField("value", 30.01)
.setTimestamp(Instant.now().minusSeconds(10));
try {
client.writePoint(point);
System.out.println("Data written to the bucket.");
}
catch (Exception e) {
System.err.println("Failed to write data to the bucket.");
e.printStackTrace();
}
}
InfluxDBClient.query
To query data and process the results:
- Initialize the
client
–your token must have read permission on the bucket you want to query. - Call
client.query()
and provide your SQL query as a string. - Use the result stream’s built-in iterator to process row data.
// Query the latest 10 measurements using SQL
private static void queryData(InfluxDBClient client) {
System.out.printf("--------------------------------------------------------%n");
System.out.printf("| %-8s | %-8s | %-30s |%n", "location", "value", "time");
System.out.printf("--------------------------------------------------------%n");
String sql = "select time,location,value from temperature order by time desc limit 10";
try (Stream<Object[]> stream = client.query(sql)) {
stream.forEach(row -> System.out.printf("| %-8s | %-8s | %-30s |%n", row[1], row[2], row[0]));
}
catch (Exception e) {
System.err.println("Failed to query data from the bucket.");
e.printStackTrace();
}
}
View the InfluxDB v3 Java client library
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