Pulsar is built on the publish-subscribe pattern (short for pub-sub). In this pattern, producers publish messages to topics. Consumers subscribe to those topics, process incoming messages, and send an acknowledgement when processing is complete.
Once a subscription has been created, all messages are retained by Pulsar, even if the consumer gets disconnected. Retained messages are discarded only when a consumer acknowledges that those messages are processed successfully.
Messages are the basic "unit" of Pulsar. Messages are what producers publish to topics and what consumers then consume from topics (and acknowledge when the message has been processed). Messages are the analogue of letters in a postal service system.
|Value / data payload||The data carried by the message. All Pulsar messages carry raw bytes, although message data can also conform to data schemas.|
|Key||Messages can optionally be tagged with keys, which can be useful for things like topic compaction.|
|Properties||An optional key/value map of user-defined properties.|
|Producer name||The name of the producer that produced the message (producers are automatically given default names, but you can apply your own explicitly as well).|
|Sequence ID||Each Pulsar message belongs to an ordered sequence on its topic. A message's sequence ID is its ordering in that sequence.|
|Publish time||The timestamp of when the message was published (automatically applied by the producer).|
|Event time||An optional timestamp that applications can attach to the message representing when something happened, for example, when the message was processed. The event time of a message is 0 if none is explicitly set.|
When you set
For a more in-depth breakdown of Pulsar message contents, see Pulsar binary protocol.
A producer is a process that attaches to a topic and publishes messages to a Pulsar broker for processing.
Producers can send messages to brokers either synchronously (sync) or asynchronously (async).
|Sync send||The producer will wait for acknowledgement from the broker after sending each message. If acknowledgment isn't received then the producer will consider the send operation a failure.|
|Async send||The producer will put the message in a blocking queue and return immediately. The client library will then send the message to the broker in the background. If the queue is full (max size configurable), the producer could be blocked or fail immediately when calling the API, depending on arguments passed to the producer.|
Messages published by producers can be compressed during transportation in order to save bandwidth. Pulsar currently supports the following types of compression:
If batching is enabled, the producer will accumulate and send a batch of messages in a single request. Batch size is defined by the maximum number of messages and maximum publish latency.
Batches are tracked and stored by Pulsar as batches rather than as individual messages. Under the hood the consumer unbundles these batches into individual messages. Since the messages are stored as batches, the backlog size will also represent the total number of batches rather than the total number of messages.
Scheduled messages (using
deliverAfter) are always sent as individual messages even when batching is enabled.
Since batches are tracked as single units, a batch will only be considered acknowledged when all its messages are acknowledged by the consumer. This means unexpected failures, negative acknowledgements, and acknowledgement timeouts can result in redelivery of all messages in the batch, even if some of the messages have already been acknowledged.
A consumer is a process that attaches to a topic via a subscription and then receives messages.
A consumer sends a flow permit request to a broker to get messages. There is a queue at the consumer side to receive messages pushed from the broker. The queue size is configurable by
receiverQueueSize (default: 1000). Each time
consumer.receive() is called, a message is dequeued from the buffer.
Messages can be received from brokers either synchronously (sync) or asynchronously (async).
|Sync receive||A sync receive will be blocked until a message is available.|
|Async receive||An async receive will return immediately with a future value---a |
Client libraries provide listener implementation for consumers. For example, the Java client provides a MesssageListener interface. In this interface, the
received method is called whenever a new message is received.
When a consumer has consumed a message successfully, the consumer sends an acknowledgement request to the broker. This message is permanently stored and then it is deleted only after all the subscriptions have acknowledged it. If you want to store the message that has been acknowledged by a consumer, you need to configure the message retention policy.
Messages can be acknowledged either one by one or cumulatively. With cumulative acknowledgement, the consumer only needs to acknowledge the last message it received. All messages in the stream up to (and including) the provided message will not be re-delivered to that consumer.
Cumulative acknowledgement cannot be used with shared subscription type, because shared mode involves multiple consumers having access to the same subscription.
In Shared subscription type, messages can be acknowledged individually.
When a consumer does not consume a message successfully at a time, and wants to consume the message again, the consumer can send a negative acknowledgement to the broker, and then the broker will redeliver the message.
Messages can be negatively acknowledged either individually or cumulatively, depending on the consumption subscription type.
In the exclusive and failover subscription types, consumers only negatively acknowledge the last message they have received.
In the shared and Key_Shared subscription types, you can negatively acknowledge messages individually.
Be aware that negative acknowledgment on ordered subscription types, such as Exclusive, Failover and Key_Shared, can cause failed messages to arrive consumers out of the original order.
If batching is enabled, other messages in the same batch may be redelivered to the consumer as well as the negatively acknowledged messages.
When a message is not consumed successfully, and you want to trigger the broker to redeliver the message automatically, you can adopt the unacknowledged message automatic re-delivery mechanism. Client will track the unacknowledged messages within the entire
acktimeout time range, and send a
redeliver unacknowledged messages request to the broker automatically when the acknowledgement timeout is specified.
If batching is enabled, other messages in the same batch may be redelivered to the consumer as well as the unacknowledged messages.
Prefer negative acknowledgements over acknowledgement timeout. Negative acknowledgement controls the re-delivery of individual messages with more precision, and avoids invalid redeliveries when the message processing time exceeds the acknowledgement timeout.
Dead letter topic
Dead letter topic enables you to consume new messages when some messages cannot be consumed successfully by a consumer. In this mechanism, messages that are failed to be consumed are stored in a separate topic, which is called dead letter topic. You can decide how to handle messages in the dead letter topic.
The following example shows how to enable dead letter topic in a Java client using the default dead letter topic:
Consumer<byte> consumer = pulsarClient.newConsumer(Schema.BYTES)
The default dead letter topic uses this format:
If you want to specify the name of the dead letter topic, use this Java client example:
Consumer<byte> consumer = pulsarClient.newConsumer(Schema.BYTES)
Dead letter topic depends on message re-delivery. Messages are redelivered either due to acknowledgement timeout or negative acknowledgement. If you are going to use negative acknowledgement on a message, make sure it is negatively acknowledged before the acknowledgement timeout.
Currently, dead letter topic is enabled only in Shared subscription type.
|Topic name component||Description|
|This identifies the type of topic. Pulsar supports two kind of topics: persistent and non-persistent (persistent is the default, so if you don't specify a type the topic will be persistent). With persistent topics, all messages are durably persisted on disk (that means on multiple disks unless the broker is standalone), whereas data for non-persistent topics isn't persisted to storage disks.|
|The topic's tenant within the instance. Tenants are essential to multi-tenancy in Pulsar and can be spread across clusters.|
|The administrative unit of the topic, which acts as a grouping mechanism for related topics. Most topic configuration is performed at the namespace level. Each tenant can have multiple namespaces.|
|The final part of the name. Topic names are freeform and have no special meaning in a Pulsar instance.|
No need to explicitly create new topics
You don't need to explicitly create topics in Pulsar. If a client attempts to write or receive messages to/from a topic that does not yet exist, Pulsar will automatically create that topic under the namespace provided in the topic name. If no tenant or namespace is specified when a client creates a topic, the topic is created in the default tenant and namespace. You can also create a topic in a specified tenant and namespace, such as
my-topictopic is created in the
my-namespacenamespace of the
A namespace is a logical nomenclature within a tenant. A tenant can create multiple namespaces via the admin API. For instance, a tenant with different applications can create a separate namespace for each application. A namespace allows the application to create and manage a hierarchy of topics. The topic
my-tenant/app1 is a namespace for the application
my-tenant. You can create any number of topics under the namespace.
A subscription is a named configuration rule that determines how messages are delivered to consumers. There are four available subscription types in Pulsar: exclusive, shared, failover, and key_shared. These types are illustrated in the figure below.
Pub-Sub, Queuing, or Both
There is a lot of flexibility in how to combine subscriptions:
- If you want to achieve traditional "fan-out pub-sub messaging" among consumers, you can make each consumer have a unique subscription name (exclusive)
- If you want to achieve "message queuing" among consumers, you can make multiple consumers have the same subscription name (shared, failover, key_shared)
- If you want to do both simultaneously, you can have some consumers with exclusive subscriptions while others do not
In exclusive type, only a single consumer is allowed to attach to the subscription. If more than one consumer attempts to subscribe to a topic using the same subscription, the consumer receives an error.
In the diagram below, only Consumer A-0 is allowed to consume messages.
Exclusive is the default subscription type.
In Failover type, multiple consumers can attach to the same subscription. A master consumer is picked for non-partitioned topic or each partition of partitioned topic and receives messages. When the master consumer disconnects, all (non-acknowledged and subsequent) messages are delivered to the next consumer in line.
For partitioned topics, broker will sort consumers by priority level and lexicographical order of consumer name. Then broker will try to evenly assigns topics to consumers with the highest priority level.
For non-partitioned topic, broker will pick consumer in the order they subscribe to the non partitioned topic.
In the diagram below, Consumer-B-0 is the master consumer while Consumer-B-1 would be the next consumer in line to receive messages if Consumer-B-0 is disconnected.
In shared or round robin mode, multiple consumers can attach to the same subscription. Messages are delivered in a round robin distribution across consumers, and any given message is delivered to only one consumer. When a consumer disconnects, all the messages that were sent to it and not acknowledged will be rescheduled for sending to the remaining consumers.
In the diagram below, Consumer-C-1 and Consumer-C-2 are able to subscribe to the topic, but Consumer-C-3 and others could as well.
Limitations of shared mode
When using shared mode, be aware that:
- Message ordering is not guaranteed.
- You cannot use cumulative acknowledgment with shared mode.
In Key_Shared mode, multiple consumers can attach to the same subscription. Messages are delivered in a distribution across consumers and message with same key or same ordering key are delivered to only one consumer. No matter how many times the message is re-delivered, it is delivered to the same consumer. When a consumer connected or disconnected will cause served consumer change for some key of message.
Limitations of Key_Shared mode
When using Key_Shared mode, be aware that:
- You need to specify a key or orderingKey for messages
- You cannot use cumulative acknowledgment with Key_Shared mode.
You can disable Key_Shared subscription in the
When a consumer subscribes to a Pulsar topic, by default it subscribes to one specific topic, such as
persistent://public/default/my-topic. As of Pulsar version 1.23.0-incubating, however, Pulsar consumers can simultaneously subscribe to multiple topics. You can define a list of topics in two ways:
- On the basis of a regular expression (regex), for example
- By explicitly defining a list of topics
When subscribing to multiple topics by regex, all topics must be in the same namespace
When subscribing to multiple topics, the Pulsar client will automatically make a call to the Pulsar API to discover the topics that match the regex pattern/list and then subscribe to all of them. If any of the topics don't currently exist, the consumer will auto-subscribe to them once the topics are created.
No ordering guarantees across multiple topics
When a producer sends messages to a single topic, all messages are guaranteed to be read from that topic in the same order. However, these guarantees do not hold across multiple topics. So when a producer sends message to multiple topics, the order in which messages are read from those topics is not guaranteed to be the same.
Here are some multi-topic subscription examples for Java:
PulsarClient pulsarClient = // Instantiate Pulsar client object
// Subscribe to all topics in a namespace
Pattern allTopicsInNamespace = Pattern.compile("persistent://public/default/.*");
Consumer<byte> allTopicsConsumer = pulsarClient.newConsumer()
// Subscribe to a subsets of topics in a namespace, based on regex
Pattern someTopicsInNamespace = Pattern.compile("persistent://public/default/foo.*");
Consumer<byte> someTopicsConsumer = pulsarClient.newConsumer()
For code examples, see:
Normal topics can be served only by a single broker, which limits the topic's maximum throughput. Partitioned topics are a special type of topic that be handled by multiple brokers, which allows for much higher throughput.
Behind the scenes, a partitioned topic is actually implemented as N internal topics, where N is the number of partitions. When publishing messages to a partitioned topic, each message is routed to one of several brokers. The distribution of partitions across brokers is handled automatically by Pulsar.
The diagram below illustrates this:
Here, the topic Topic1 has five partitions (P0 through P4) split across three brokers. Because there are more partitions than brokers, two brokers handle two partitions a piece, while the third handles only one (again, Pulsar handles this distribution of partitions automatically).
Messages for this topic are broadcast to two consumers. The routing mode determines each message should be published to which partition, while the subscription type determines which messages go to which consumers.
Decisions about routing and subscription types can be made separately in most cases. In general, throughput concerns should guide partitioning/routing decisions while subscription decisions should be guided by application semantics.
There is no difference between partitioned topics and normal topics in terms of how subscription types work, as partitioning only determines what happens between when a message is published by a producer and processed and acknowledged by a consumer.
Partitioned topics need to be explicitly created via the admin API. The number of partitions can be specified when creating the topic.
When publishing to partitioned topics, you must specify a routing mode. The routing mode determines which partition---that is, which internal topic---each message should be published to.
There are three MessageRoutingMode available:
|If no key is provided, the producer will publish messages across all partitions in round-robin fashion to achieve maximum throughput. Please note that round-robin is not done per individual message but rather it's set to the same boundary of batching delay, to ensure batching is effective. While if a key is specified on the message, the partitioned producer will hash the key and assign message to a particular partition. This is the default mode.|
|If no key is provided, the producer will randomly pick one single partition and publish all the messages into that partition. While if a key is specified on the message, the partitioned producer will hash the key and assign message to a particular partition.|
|Use custom message router implementation that will be called to determine the partition for a particular message. User can create a custom routing mode by using the Java client and implementing the MessageRouter interface.|
The ordering of messages is related to MessageRoutingMode and Message Key. Usually, user would want an ordering of Per-key-partition guarantee.
If there is a key attached to message, the messages will be routed to corresponding partitions based on the hashing scheme specified by HashingScheme in ProducerBuilder, when using either
|Ordering guarantee||Description||Routing Mode and Key|
|Per-key-partition||All the messages with the same key will be in order and be placed in same partition.||Use either |
|Per-producer||All the messages from the same producer will be in order.||Use |
HashingScheme is an enum that represent sets of standard hashing functions available when choosing the partition to use for a particular message.
There are 2 types of standard hashing functions available:
The default hashing function for producer is
Please pay attention that
JavaStringHash is not useful when producers can be from different multiple language clients, under this use case, it is recommended to use
By default, Pulsar persistently stores all unacknowledged messages on multiple BookKeeper bookies (storage nodes). Data for messages on persistent topics can thus survive broker restarts and subscriber failover.
Pulsar also, however, supports non-persistent topics, which are topics on which messages are never persisted to disk and live only in memory. When using non-persistent delivery, killing a Pulsar broker or disconnecting a subscriber to a topic means that all in-transit messages are lost on that (non-persistent) topic, meaning that clients may see message loss.
Non-persistent topics have names of this form (note the
non-persistent in the name):
For more info on using non-persistent topics, see the Non-persistent messaging cookbook.
In non-persistent topics, brokers immediately deliver messages to all connected subscribers without persisting them in BookKeeper. If a subscriber is disconnected, the broker will not be able to deliver those in-transit messages, and subscribers will never be able to receive those messages again. Eliminating the persistent storage step makes messaging on non-persistent topics slightly faster than on persistent topics in some cases, but with the caveat that some of the core benefits of Pulsar are lost.
With non-persistent topics, message data lives only in memory. If a message broker fails or message data can otherwise not be retrieved from memory, your message data may be lost. Use non-persistent topics only if you're certain that your use case requires it and can sustain it.
Non-persistent messaging is usually faster than persistent messaging because brokers don't persist messages and immediately send acks back to the producer as soon as that message is delivered to connected brokers. Producers thus see comparatively low publish latency with non-persistent topic.
Producers and consumers can connect to non-persistent topics in the same way as persistent topics, with the crucial difference that the topic name must start with
non-persistent. All three subscription types---exclusive, shared, and failover---are supported for non-persistent topics.
Here's an example Java consumer for a non-persistent topic:
PulsarClient client = PulsarClient.builder()
String npTopic = "non-persistent://public/default/my-topic";
String subscriptionName = "my-subscription-name";
Consumer<byte> consumer = client.newConsumer()
Here's an example Java producer for the same non-persistent topic:
Producer<byte> producer = client.newProducer()
Message retention and expiry
By default, Pulsar message brokers:
- immediately delete all messages that have been acknowledged by a consumer, and
- persistently store all unacknowledged messages in a message backlog.
Pulsar has two features, however, that enable you to override this default behavior:
- Message retention enables you to store messages that have been acknowledged by a consumer
- Message expiry enables you to set a time to live (TTL) for messages that have not yet been acknowledged
The diagram below illustrates both concepts:
With message retention, shown at the top, a retention policy applied to all topics in a namespace dictates that some messages are durably stored in Pulsar even though they've already been acknowledged. Acknowledged messages that are not covered by the retention policy are deleted. Without a retention policy, *all* of the acknowledged messages would be deleted.
With message expiry, shown at the bottom, some messages are deleted, even though they haven't been acknowledged, because they've expired according to the TTL applied to the namespace (for example because a TTL of 5 minutes has been applied and the messages haven't been acknowledged but are 10 minutes old).
Message duplication occurs when a message is persisted by Pulsar more than once. Message *deduplication is an optional Pulsar feature that prevents unnecessary message duplication by processing each message only once, even if the message is received more than once*.
The following diagram illustrates what happens when message deduplication is disabled vs. enabled:
Message deduplication is disabled in the scenario shown at the top. Here, a producer publishes message 1 on a topic; the message reaches a Pulsar broker and is persisted to BookKeeper. The producer then sends message 1 again (in this case due to some retry logic), and the message is received by the broker and stored in BookKeeper again, which means that duplication has occurred.
In the second scenario at the bottom, the producer publishes message 1, which is received by the broker and persisted, as in the first scenario. When the producer attempts to publish the message again, however, the broker knows that it has already seen message 1 and thus does not persist the message.
Message deduplication is handled at the namespace level. For more instructions, see the message deduplication cookbook.
The other available approach to message deduplication is to ensure that each message is only produced once. This approach is typically called producer idempotency. The drawback of this approach is that it defers the work of message deduplication to the application. In Pulsar, this is handled at the broker level, which means that you don't need to modify your Pulsar client code. Instead, you only need to make administrative changes (see the Managing message deduplication cookbook for a guide).
Deduplication and effectively-once semantics
Message deduplication makes Pulsar an ideal messaging system to be used in conjunction with stream processing engines (SPEs) and other systems seeking to provide effectively-once processing semantics. Messaging systems that don't offer automatic message deduplication require the SPE or other system to guarantee deduplication, which means that strict message ordering comes at the cost of burdening the application with the responsibility of deduplication. With Pulsar, strict ordering guarantees come at no application-level cost.
Delayed message delivery
Delayed message delivery enables you to consume a message later rather than immediately. In this mechanism, a message is stored in BookKeeper,
DelayedDeliveryTracker maintains the time index(time -> messageId) in memory after published to a broker, and it is delivered to a consumer once the specific delayed time is passed.
Delayed message delivery only works well In shared subscription type. In Exclusive and Failover subscription types, the delayed message is dispatched immediately.
The diagram below illustrates the concept of delayed message delivery:
A broker saves a message without any check. When a consumer consumes a message, if the message is set to delay, then the message is added to
DelayedDeliveryTracker. A subscription checks and gets timeout messages from
Delayed message delivery is enabled by default. You can change it in the broker configuration file as below:
# Whether to enable the delayed delivery for messages.
# If disabled, messages are immediately delivered and there is no tracking overhead.
# Control the ticking time for the retry of delayed message delivery,
# affecting the accuracy of the delivery time compared to the scheduled time.
# Default is 1 second.
The following is an example of delayed message delivery for a producer in Java:
// message to be delivered at the configured delay interval
producer.newMessage().deliverAfter(3L, TimeUnit.Minute).value("Hello Pulsar!").send();