influxdb-java

This is the Java Client library which is only compatible with InfluxDB 0.9 and higher. Maintained by @majst01.

To connect to InfluxDB 0.8.x you need to use influxdb-java version 1.6.

This implementation is meant as a Java rewrite of the influxdb-go package. All low level REST Api calls are available.

Usages

Basic Usages:

InfluxDB influxDB = InfluxDBFactory.connect("http://172.17.0.2:8086", "root", "root");
String dbName = "aTimeSeries";
influxDB.createDatabase(dbName);
String rpName = "aRetentionPolicy";
influxDB.createRetentionPolicy(rpName, dbName, "30d", "30m", 2, true);

BatchPoints batchPoints = BatchPoints
				.database(dbName)
				.tag("async", "true")
				.retentionPolicy(rpName)
				.consistency(ConsistencyLevel.ALL)
				.build();
Point point1 = Point.measurement("cpu")
					.time(System.currentTimeMillis(), TimeUnit.MILLISECONDS)
					.addField("idle", 90L)
					.addField("user", 9L)
					.addField("system", 1L)
					.build();
Point point2 = Point.measurement("disk")
					.time(System.currentTimeMillis(), TimeUnit.MILLISECONDS)
					.addField("used", 80L)
					.addField("free", 1L)
					.build();
batchPoints.point(point1);
batchPoints.point(point2);
influxDB.write(batchPoints);
Query query = new Query("SELECT idle FROM cpu", dbName);
influxDB.query(query);
influxDB.dropRetentionPolicy(rpName, dbName);
influxDB.deleteDatabase(dbName);

Note:

• APIs to create and drop retention policies are supported only in versions > 2.7
• If you are using influxdb < 2.8, you should use retention policy: 'autogen'
• If you are using influxdb < 1.0.0, you should use 'default' instead of 'autogen'

If your application produces only single Points, you can enable the batching functionality of influxdb-java:

InfluxDB influxDB = InfluxDBFactory.connect("http://172.17.0.2:8086", "root", "root");
String dbName = "aTimeSeries";
influxDB.createDatabase(dbName);
String rpName = "aRetentionPolicy";
influxDB.createRetentionPolicy(rpName, dbName, "30d", "30m", 2, true);

// Flush every 2000 Points, at least every 100ms
influxDB.enableBatch(2000, 100, TimeUnit.MILLISECONDS);

Point point1 = Point.measurement("cpu")
					.time(System.currentTimeMillis(), TimeUnit.MILLISECONDS)
					.addField("idle", 90L)
					.addField("user", 9L)
					.addField("system", 1L)
					.build();
Point point2 = Point.measurement("disk")
					.time(System.currentTimeMillis(), TimeUnit.MILLISECONDS)
					.addField("used", 80L)
					.addField("free", 1L)
					.build();

influxDB.write(dbName, rpName, point1);
influxDB.write(dbName, rpName, point2);
Query query = new Query("SELECT idle FROM cpu", dbName);
influxDB.query(query);
influxDB.dropRetentionPolicy(rpName, dbName);
influxDB.deleteDatabase(dbName);

Note that the batching functionality creates an internal thread pool that needs to be shutdown explicitly as part of a graceful application shut-down, or the application will not shut down properly. To do so simply call: influxDB.close()

If all of your points are written to the same database and retention policy, the simpler write() methods can be used. This requires influxdb-java v2.7 or newer.

InfluxDB influxDB = InfluxDBFactory.connect("http://172.17.0.2:8086", "root", "root");
String dbName = "aTimeSeries";
influxDB.createDatabase(dbName);
influxDB.setDatabase(dbName);
String rpName = "aRetentionPolicy";
influxDB.createRetentionPolicy(rpName, dbName, "30d", "30m", 2, true);
influxDB.setRetentionPolicy(rpName);

// Flush every 2000 Points, at least every 100ms
influxDB.enableBatch(2000, 100, TimeUnit.MILLISECONDS);

influxDB.write(Point.measurement("cpu")
	.time(System.currentTimeMillis(), TimeUnit.MILLISECONDS)
	.addField("idle", 90L)
	.addField("user", 9L)
	.addField("system", 1L)
	.build());

influxDB.write(Point.measurement("disk")
	.time(System.currentTimeMillis(), TimeUnit.MILLISECONDS)
	.addField("used", 80L)
	.addField("free", 1L)
	.build());

Query query = new Query("SELECT idle FROM cpu", dbName);
influxDB.query(query);
influxDB.dropRetentionPolicy(rpName, dbName);
influxDB.deleteDatabase(dbName);

Also note that any errors that happen during the batch flush won't leak into the caller of the write method. By default, any kind of errors will be just logged with "SEVERE" level.

If you need to be notified and do some custom logic when such asynchronous errors happen, you can add an error handler with a BiConsumer<Iterable<Point>, Throwable> using the overloaded enableBatch method:

// Flush every 2000 Points, at least every 100ms
influxDB.enableBatch(2000, 100, TimeUnit.MILLISECONDS, Executors.defaultThreadFactory(), (failedPoints, throwable) -> { /* custom error handling here */ });

Advanced Usages:

Gzip's support (version 2.5+ required):

influxdb-java client doesn't enable gzip compress for http request body by default. If you want to enable gzip to reduce transfer data's size , you can call:

influxDB.enableGzip()

UDP's support (version 2.5+ required):

influxdb-java client support udp protocol now. you can call following methods directly to write through UDP.

public void write(final int udpPort, final String records);
public void write(final int udpPort, final List<String> records);
public void write(final int udpPort, final Point point);

note: make sure write content's total size should not > UDP protocol's limit(64K), or you should use http instead of udp.

Chunking support (version 2.6+ required):

influxdb-java client now supports influxdb chunking. The following example uses a chunkSize of 20 and invokes the specified Consumer (e.g. System.out.println) for each received QueryResult

Query query = new Query("SELECT idle FROM cpu", dbName);
influxDB.query(query, 20, queryResult -> System.out.println(queryResult));

QueryResult mapper to POJO (version 2.7+ required):

An alternative way to handle the QueryResult object is now available. Supposing that you have a measurement CPU:

> INSERT cpu,host=serverA,region=us_west idle=0.64,happydevop=false,uptimesecs=123456789i
>
> select * from cpu
name: cpu
time                           happydevop host    idle region  uptimesecs
----                           ---------- ----    ---- ------  ----------
2017-06-20T15:32:46.202829088Z false      serverA 0.64 us_west 123456789

And the following tag keys:

> show tag keys from cpu
name: cpu
tagKey
------
host
region

1. Create a POJO to represent your measurement. For example:

public class Cpu {
    private Instant time;
    private String hostname;
    private String region;
    private Double idle;
    private Boolean happydevop;
    private Long uptimeSecs;
    // getters (and setters if you need)
}

2. Add @Measurement and @Column annotations:

@Measurement(name = "cpu")
public class Cpu {
    @Column(name = "time")
    private Instant time;
    @Column(name = "host", tag = true)
    private String hostname;
    @Column(name = "region", tag = true)
    private String region;
    @Column(name = "idle")
    private Double idle;
    @Column(name = "happydevop")
    private Boolean happydevop;
    @Column(name = "uptimesecs")
    private Long uptimeSecs;
    // getters (and setters if you need)
}

3. Call InfluxDBResultMapper.toPOJO(...) to map the QueryResult to your POJO:

InfluxDB influxDB = InfluxDBFactory.connect("http://localhost:8086", "root", "root");
String dbName = "myTimeseries";
QueryResult queryResult = influxDB.query(new Query("SELECT * FROM cpu", dbName));

InfluxDBResultMapper resultMapper = new InfluxDBResultMapper(); // thread-safe - can be reused
List<Cpu> cpuList = resultMapper.toPOJO(queryResult, Cpu.class);

QueryResult mapper limitations

• If your InfluxDB query contains multiple SELECT clauses, you will have to call InfluxResultMapper#toPOJO() multiple times to map every measurement returned by QueryResult to the respective POJO;
• If your InfluxDB query contains multiple SELECT clauses for the same measurement, InfluxResultMapper will process all results because there is no way to distinguish which one should be mapped to your POJO. It may result in an invalid collection being returned;
• A Class field annotated with @Column(..., tag = true) (i.e. a InfluxDB Tag) must be declared as String. -- Note: With the current released version (2.7), InfluxDBResultMapper does not support QueryResult created by queries using the "GROUP BY" clause. This was fixed by PR #345.

Query using Callbacks (version 2.8+ required)

influxdb-java now supports returning results of a query via callbacks. Only one of the following consumers are going to be called once :

this.influxDB.query(new Query("SELECT idle FROM cpu", dbName), queryResult -> {
    // Do something with the result...
}, throwable -> {
    // Do something with the error...
});

Other Usages:

For additional usage examples have a look at InfluxDBTest.java

Version

The latest version for maven dependence:

<dependency>
  <groupId>org.influxdb</groupId>
  <artifactId>influxdb-java</artifactId>
  <version>2.7</version>
</dependency>

Or when using with gradle:

compile 'org.influxdb:influxdb-java:2.7'

For version change history have a look at ChangeLog.

Build Requirements

• Java 1.8+ (tested with jdk8 and jdk9)
• Maven 3.0+ (tested with maven 3.5.0)
• Docker daemon running

Then you can build influxdb-java with all tests with:

$ mvn clean install

If you don't have Docker running locally, you can skip tests with -DskipTests flag set to true:

$ mvn clean install -DskipTests=true

If you have Docker running, but it is not at localhost (e.g. you are on a Mac and using docker-machine) you can set an optional environment variable INFLUXDB_IP to point to the correct IP address:

$ export INFLUXDB_IP=192.168.99.100
$ mvn test

For convenience we provide a small shell script which starts a influxdb server locally and executes mvn clean install with all tests inside docker containers.

$ ./compile-and-test.sh

Publishing

This is a link to the sonatype oss guide to publishing. I'll update this section once the jira ticket is closed and I'm able to upload artifacts to the sonatype repositories.