Managing Connections

how-to

This section describes how to connect the Java SDK to a Couchbase cluster. It contains best practices as well as information on TLS/SSL and other advanced connection options.

Connecting to a Cluster

A connection to a Couchbase Server cluster is represented by a Cluster object. A Cluster provides access to Buckets, Scopes, and Collections, as well as various Couchbase services and management interfaces. The simplest way to create a Cluster object is to call Cluster.connect() with a connection string, username, and password:

Cluster cluster = Cluster.connect("127.0.0.1", "username", "password");
Bucket bucket = cluster.bucket("travel-sample");
Collection collection = bucket.defaultCollection();

// You can access multiple buckets using the same Cluster object.
Bucket anotherBucket = cluster.bucket("beer-sample");

// You can access collections other than the default
// if your version of Couchbase Server supports this feature.
Scope customerA = bucket.scope("customer-a");
Collection widgets = customerA.collection("widgets");

// For a graceful shutdown, disconnect from the cluster when the program ends.
cluster.disconnect();

If you are connecting to a version of Couchbase Server older than 6.5, it will be more efficient if the addresses are those of data (KV) nodes. You will in any case, with 7.0 and earlier, need to open a Bucket instance before connecting to any other HTTP services (such as Query or Search).

In a production environment, your connection string should include the addresses of multiple server nodes in case some are currently unavailable. Multiple addresses may be specified in a connection string by delimiting them with commas:

Cluster cluster = Cluster.connect("192.168.56.101,192.168.56.102", "username", "password");

You don’t need to include the address of every node in the cluster. The client fetches the full address list from the first node it is able to contact.

Cluster Environment

A ClusterEnvironment manages shared resources like thread pools, timers, and schedulers. It also holds the client settings. One way to customize the client’s behavior is to build your own ClusterEnvironment with custom settings:

ClusterEnvironment env = ClusterEnvironment.builder()
    // Customize client settings by calling methods on the builder
    .build();

// Create a cluster using the environment's custom client settings.
Cluster cluster = Cluster.connect("127.0.0.1",
    ClusterOptions.clusterOptions("username", "password").environment(env));

// Shut down gracefully. Shut down the environment
// after all associated clusters are disconnected.
cluster.disconnect();
env.shutdown();

If you create a Cluster without specifying a custom environment, the client creates a default environment used exclusively by that Cluster. This default ClusterEnvironment is managed completely by the Java SDK, and is automatically shut down when the associated Cluster is disconnected.

Connection Strings

A Couchbase connection string is a comma-delimited list of IP addresses and/or hostnames, optionally followed by a list of parameters.

The parameter list is just like the query component of a URI; name-value pairs have an equals sign (=) separating the name and value, with an ampersand (&) between each pair. Just as in a URI, the first parameter is prefixed by a question mark (?).

Simple connection string with one seed node

127.0.0.1

Connection string with two seed nodes

nodeA.example.com,nodeB.example.com

Connection string with two parameters

127.0.0.1?io.networkResolution=external&timeout.kvTimeout=10s

The full list of recognized parameters is documented in the client settings reference. Any client setting with a system property name may also be specified as a connection string parameter (without the com.couchbase.env. prefix).

When creating a Cluster using a custom ClusterEnvironment, connection string parameters are ignored, since client settings are frozen when the cluster environment is built.

Connection Lifecycle

Most of the high-level classes in the Java SDK are designed to be safe for concurrent use by multiple threads. You will get the best performance if you share and reuse instances of ClusterEnvironment, Cluster, Bucket, Scope, and Collection, all of which are thread-safe.

We recommend creating a single Cluster instance when your application starts up, and sharing this instance throughout your application. If you know at startup time which buckets, scopes, and CollectionsExample your application will use, we recommend obtaining them from the Cluster at startup time and sharing those instances throughout your application as well.

Before your application stops, gracefully shut down the client by calling the disconnect() method of each Cluster you created. If you created any ClusterEnvironment instances, call their shutdown() method after disconnecting the associated clusters.

Connecting to Multiple Clusters

If a single application needs to connect to multiple Couchbase Server clusters, we recommend creating a single ClusterEnvironment and sharing it between the Clusters:

ClusterEnvironment env = ClusterEnvironment.builder()
    .timeoutConfig(TimeoutConfig.kvTimeout(Duration.ofSeconds(5))).build();

Cluster clusterA = Cluster.connect("clusterA.example.com",
    ClusterOptions.clusterOptions("username", "password").environment(env));

Cluster clusterB = Cluster.connect("clusterB.example.com",
    ClusterOptions.clusterOptions("username", "password").environment(env));

// ...

// For a graceful shutdown, disconnect from the clusters
// AND shut down the custom environment when then program ends.
clusterA.disconnect();
clusterB.disconnect();
env.shutdown();

When you manually create a ClusterEnvironment like this, the SDK will not shut it down when you call Cluster.disconnect(). Instead you are responsible for shutting it down after disconnecting all clusters that share the environment.

Alternate Addresses and Custom Ports

If your Couchbase Server cluster is running in a containerized, port mapped, or otherwise NAT’d environment like Docker or Kubernetes, a client running outside that environment may need additional information in order to connect the cluster. Both the client and server require special configuration in this case.

On the server side, each server node must be configured to advertise its external address as well as any custom port mapping. This is done with the setting-alternate-address CLI command introduced in Couchbase Server 6.5. A node configured in this way will advertise two addresses: one for connecting from the same network, and another for connecting from an external network.

On the client side, the externally visible ports must be used when connecting. If the external ports are not the default, you can specify custom ports in the connection string when calling Cluster.connect().

int customKvPort = 1234; // default is 11210 (or 11207 for TLS)
String connectionString = "127.0.0.1:" + customKvPort;
Cluster cluster = Cluster.connect(connectionString, username, password);

For nodes that do not have the KV service, you can connect using a custom manager port instead. Notice how =manager appears after the port number, identifying it as a manager port:

int customManagerPort = 2345; // default is 8091 (or 18091 for TLS)
String connectionString = "127.0.0.1:" + customManagerPort + "=manager";
Cluster cluster = Cluster.connect(connectionString, username, password);

In a deployment that uses multi-dimensional scaling, a custom KV port is only applicable for nodes running the KV service. A custom manager port may be specified regardless of which services are running on the node.

In many cases the client is able to automatically select the correct set of addresses to use when connecting to a cluster that advertises multiple addresses. If the detection heuristic fails in your environment, you can override it by setting the io.networkResolution client setting to default if the client and server are on the same network, or external if they’re on different networks.

Any TLS certificates must be set up at the point where the connections are being made.

Secure Connections

Couchbase Server Enterprise Edition and Couchbase Capella support full encryption of client-side traffic using Transport Layer Security (TLS). That includes key-value type operations, queries, and configuration communication. Make sure you have the Enterprise Edition of Couchbase Server, or a Couchbase Capella account, before proceeding with configuring encryption on the client side.

Couchbase Capella
Couchbase Server

The Java SDK bundles Capella’s standard root certificate by default. This means you don’t need any additional configuration to enable TLS — simply use couchbases:// in your connection string.

Capella’s root certificate is not signed by a well known CA (Certificate Authority). However, as the certificate is bundled with the SDK, it is trusted by default.

As of SDK 3.4, if you connect to a Couchbase Server cluster with a root certificate issued by a trusted CA (Certificate Authority), you no longer need to configure this in the securityConfig settings.

The cluster’s root certificate just needs to be issued by a CA whose certificate is in the JVM’s trust store. This includes well known CAs (e.g., GoDaddy, Verisign, etc…), plus any other CA certificates that you wish to add.

The JVM’s trust store is represented by a file named cacerts, which can be found inside your Java installation folder.

You can still provide a certificate explicitly if necessary:

Get the CA certificate from the cluster and save it in a text file.
Enable encryption on the client side and point it to the file containing the certificate.

It is important to make sure you are transferring the certificate in an encrypted manner from the server to the client side, so either copy it through SSH or through a similar secure mechanism.

If you are running on localhost and just want to enable TLS for a development machine, just copying and pasting it suffices — so long as you use 127.0.0.1 rather than localhost in the connection string. This is because the certificate will not match the name localhost.

Navigate in the admin UI to Settings Cluster and copy the input box of the TLS certificate into a file on your machine (which we will refer to as cluster.cert). It looks similar to this:

-----BEGIN CERTIFICATE-----
MIICmDCCAYKgAwIBAgIIE4FSjsc3nyIwCwYJKoZIhvcNAQEFMAwxCjAIBgNVBAMT
ASowHhcNMTMwMTAxMDAwMDAwWhcNNDkxMjMxMjM1OTU5WjAMMQowCAYDVQQDEwEq
MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAzz2I3Gi1XcOCNRVYwY5R
................................................................
mgDnQI8nw2arBRoseLpF6WNw22CawxHVOlMceQaGOW9gqKNBN948EvJJ55Dhl7qG
BQp8sR0J6BsSc86jItQtK9eQWRg62+/XsgVCmDjrB5owHPz+vZPYhsMWixVhLjPJ
mkzeUUj/kschgQ0BWT+N+pyKAFFafjwFYtD0e5NwFUUBfsOyQtYV9xu3fw+T2N8S
itfGtmmlEfaplVGzGPaG0Eyr53g5g2BgQbi5l5Tt2awqhd22WOVbCalABd9t2IoI
F4+FjEqAEIr1mQepDaNM0gEfVcgd2SzGhC3yhYFBAH//8W4DUot5ciEhoBs=
-----END CERTIFICATE-----

The next step is to enable encryption and pass it the path to the certificate file.

Cluster cluster = Cluster.connect(
        "couchbases://<your-endpoint-or-ip-address>",
        ClusterOptions.clusterOptions("username", "password").environment(env -> {
          env.securityConfig(SecurityConfig.trustCertificate(Paths.get("/path/to/cluster.cert")));
        })
);

If you want to verify it’s actually working, you can use a tool like tcpdump. For example, an unencrypted upsert request looks like this (using sudo tcpdump -i lo0 -A -s 0 port 11210):

E..e..@.@.............+......q{...#..Y.....
.E...Ey........9........................id{"key":"value"}

After enabling encryption, you cannot inspect the traffic in cleartext (same upsert request, but watched on port 11207 which is the default encrypted port):

E.....@.@.............+....Z.'yZ..#........
..... ...xuG.O=.#.........?.Q)8..D...S.W.4.-#....@7...^.Gk.4.t..C+......6..)}......N..m..o.3...d.,.	...W.....U..
.%v.....4....m*...A.2I.1.&.*,6+..#..#.5

Using DNS SRV records

As an alternative to specifying multiple hosts in your program, you can get the actual bootstrap node list from a DNS SRV record. The following steps are necessary to make it work:

Set up your DNS server to respond properly from a DNS SRV request.
Enable it on the SDK and point it towards the DNS SRV entry.

Your DNS server should be set up like this (one row for each bootstrap node):

_couchbase._tcp.example.com.  3600  IN  SRV  0  0  11210  node1.example.com.
_couchbase._tcp.example.com.  3600  IN  SRV  0  0  11210  node2.example.com.
_couchbase._tcp.example.com.  3600  IN  SRV  0  0  11210  node3.example.com.

The ordering, priorities, and weighting are completely ignored and should not be set on the records to avoid ambiguities.

If you plan to use secure connections, you use _couchbases instead:

_couchbases._tcp.example.com.  3600  IN  SRV  0  0  11207  node1.example.com.
_couchbases._tcp.example.com.  3600  IN  SRV  0  0  11207  node2.example.com.
_couchbases._tcp.example.com.  3600  IN  SRV  0  0  11207  node3.example.com.

DNS SRV bootstrapping is available in the Java SDK from version 2.1.0. In order to make the SDK actually use the SRV records, you need to enable DNS SRV on the environment and pass in the host name from your records (here example.com):

ClusterEnvironment env = ClusterEnvironment.builder().ioConfig(IoConfig.enableDnsSrv(true)).build();

If the DNS SRV records could not be loaded properly you’ll get the exception logged and the given host name will be used as a A record lookup.

WARNING: DNS SRV lookup failed, proceeding with normal bootstrap.
javax.naming.NameNotFoundException: DNS name not found [response code 3];
   remaining name '_couchbase._tcp.example.com'
	at com.sun.jndi.dns.DnsClient.checkResponseCode(DnsClient.java:651)
	at com.sun.jndi.dns.DnsClient.isMatchResponse(DnsClient.java:569)

Also, if you pass in more than one node, DNS SRV bootstrap will not be initiated:

INFO: DNS SRV enabled, but less or more than one seed node given.
Proceeding with normal bootstrap.

Waiting for Bootstrap Completion

Depending on the environment and network latency, bootstrapping the SDK fully might take a little longer than the default key-value timeout of 2.5 seconds, so you may see timeouts during bootstrap. To prevent those early timeouts from happening, you can use the waitUntilReady method.

If you are working at the Cluster level, then add to the cluster() in the earlier example:

Cluster cluster = Cluster.connect("127.0.0.1", "Administrator", "password");
cluster.waitUntilReady(Duration.ofSeconds(10));
Bucket bucket = cluster.bucket("travel-sample");
Collection collection = bucket.defaultCollection();

Or more fully:

public class ClusterExample {
    public static void main(String... args) throws Exception {
      Cluster cluster = Cluster.connect("127.0.0.1", "Administrator", "password");
      cluster.waitUntilReady(Duration.ofSeconds(10));
      Bucket bucket = cluster.bucket("travel-sample");
      Collection collection = bucket.defaultCollection();
    }
  }

If you are working at the Bucket level, then the Bucket-level waitUntilReady does the same as the Cluster-level version, plus it waits for the K-V (data) sockets to be ready.

Other timeout issues may occur when using the SDK located geographically separately from the Couchbase Server cluster — this is not recommended. See the Cloud section below for some suggestions of settings adjustments.

Working in the Cloud

For most use cases, connecting client software using a Couchbase SDK to the Couchbase Capella service is similar to connecting to an on-premises Couchbase Cluster. The use of DNS-SRV, Alternate Address, and TLS is covered above.

We strongly recommend that the client and server are in the same LAN-like environment (e.g. AWS Region). As this may not always be possible during development, read the guidance on working with constrained network environments. More details on connecting your client code to Couchbase Capella can be found in the Cloud docs.

Troubleshooting Connections to Cloud

Some DNS caching providers (notably, home routers) can’t handle an SRV record that’s large — if you have DNS-SRV issues with such a set-up, reduce your DNS-SRV to only include three records. [For development only, not production.]. Our Troubleshooting Cloud Connections page will help you to diagnose this and other problems — as well as introducing the SDK doctor tool.

Async and Reactive APIs

The Couchbase Java SDK provides first-class support for asynchronous and reactive programming. In fact, the synchronous API is just a thin wrapper around the asynchronous API.

Methods in the asynchronous API return instances of the standard CompletableFuture introduced in Java 8.

The Java SDK’s reactive API is built on Project Reactor. Reactor implements the standard Reactive Streams API introduced in Java 9, and extends it with a rich set of useful operators. Methods in the reactive API return instances of Flux or Mono.

If you wish to embrace the async or reactive programming model, there are two ways to get started:

Call async() or reactive() on the object to access its Async* or Reactive* counterpart. For example, if you have a Collection called myCollection, you can obtain a ReactiveCollection by calling myCollection.reactive().
Instantiate an AsyncCluster or ReactiveCluster in the first place. The bucket() method of an AsyncCluster returns an AsyncBucket, while the bucket() method of a ReactiveCluster turns a ReactiveBucket.

So if you are connecting to the bucket synchronously but then want to switch over to asynchronous data operations, you can do it like this:

Cluster cluster = Cluster.connect("127.0.0.1", "username", "password");
Bucket bucket = cluster.bucket("travel-sample");

// Same API as Bucket, but completely async with CompletableFuture
AsyncBucket asyncBucket = bucket.async();

// Same API as Bucket, but completely reactive with Flux and Mono
ReactiveBucket reactiveBucket = bucket.reactive();

cluster.disconnect();

On the other hand, you can use the Async API right from the beginning:

AsyncCluster cluster = AsyncCluster.connect("127.0.0.1", "username", "password");
AsyncBucket bucket = cluster.bucket("travel-sample");

// An async cluster's disconnect methods returns a CompletableFuture<Void>.
// The disconnection starts as soon as you call disconnect().
// The simplest way to wait for the disconnect to complete is to call `join()`.
cluster.disconnect().join();

Here’s the same example, but using the Reactive API instead of the Async API:

ReactiveCluster cluster = ReactiveCluster.connect("127.0.0.1", "username", "password");
ReactiveBucket bucket = cluster.bucket("travel-sample");

// A reactive cluster's disconnect methods returns a Mono<Void>.
// Nothing actually happens until you subscribe to the Mono.
// The simplest way to subscribe is to await completion by calling call
// `block()`.
cluster.disconnect().block();