PHP Kafka client - php-rdkafka
PHP-rdkafka is a stable, production-ready, long term support, and fast Kafka client for PHP based on librdkafka.
It supports PHP 7, PHP 8, PHP 5 (in older versions), all librdkafka versions since 0.11, all Kafka versions since 0.8. This makes it easy to deploy the extension in production.
The goal of the extension is to be a low-level un-opinionated librdkafka binding focused on production and long term support.
The high level and low level consumers, producer, and metadata APIs are supported.
Documentation is available here.
Sponsors
Upstash: Serverless Kafka
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php-rdkafka supports Ukraine. Proceeds from our generous sponsors are currently donated to the Support Ukraine collective.
Table of Contents
- Installation
- Examples
- Usage
- Documentation
- Credits
- License
Installation
https://arnaud-lb.github.io/php-rdkafka-doc/phpdoc/rdkafka.setup.html
Examples
https://arnaud-lb.github.io/php-rdkafka-doc/phpdoc/rdkafka.examples.html
Usage
Configuration parameters used below can be found in Librdkafka Configuration reference
Producing
Creating a producer
For producing, we first need to create a producer, and to add brokers (Kafka servers) to it:
<?php
$conf = new RdKafka\Conf();
$conf->set('log_level', (string) LOG_DEBUG);
$conf->set('debug', 'all');
$rk = new RdKafka\Producer($conf);
$rk->addBrokers("10.0.0.1:9092,10.0.0.2:9092");
Producing messages
Warning Make sure that your producer follows proper shutdown (see below) to not lose messages.
Next, we create a topic instance from the producer:
<?php
$topic = $rk->newTopic("test");
From there, we can produce as much messages as we want, using the produce method:
<?php
$topic->produce(RD_KAFKA_PARTITION_UA, 0, "Message payload");
The first argument is the partition. RD_KAFKA_PARTITION_UA stands for
unassigned, and lets librdkafka choose the partition.
The second argument are message flags and should be either 0
or RD_KAFKA_MSG_F_BLOCK
to block produce on full queue.
The message payload can be anything.
Proper shutdown
This should be done prior to destroying a producer instance
to make sure all queued and in-flight produce requests are completed
before terminating. Use a reasonable value for $timeout_ms
.
Warning Not calling flush can lead to message loss!
$rk->flush($timeout_ms);
In case you don't care about sending messages that haven't been sent yet,
you can use purge()
before calling flush()
:
// Forget messages that are not fully sent yet
$rk->purge(RD_KAFKA_PURGE_F_QUEUE);
$rk->flush($timeout_ms);
High-level consuming
The RdKafka\KafkaConsumer class supports automatic partition assignment/revocation. See the example here.
Low-level consuming (legacy)
Note The low-level consumer is a legacy API, please prefer using the high-level consumer
We first need to create a low level consumer, and to add brokers (Kafka servers) to it:
<?php
$conf = new RdKafka\Conf();
$conf->set('log_level', (string) LOG_DEBUG);
$conf->set('debug', 'all');
$rk = new RdKafka\Consumer($conf);
$rk->addBrokers("10.0.0.1,10.0.0.2");
Next, create a topic instance by calling the newTopic()
method, and start
consuming on partition 0:
<?php
$topic = $rk->newTopic("test");
// The first argument is the partition to consume from.
// The second argument is the offset at which to start consumption. Valid values
// are: RD_KAFKA_OFFSET_BEGINNING, RD_KAFKA_OFFSET_END, RD_KAFKA_OFFSET_STORED.
$topic->consumeStart(0, RD_KAFKA_OFFSET_BEGINNING);
Next, retrieve the consumed messages:
<?php
while (true) {
// The first argument is the partition (again).
// The second argument is the timeout.
$msg = $topic->consume(0, 1000);
if (null === $msg || $msg->err === RD_KAFKA_RESP_ERR__PARTITION_EOF) {
// Constant check required by librdkafka 0.11.6. Newer librdkafka versions will return NULL instead.
continue;
} elseif ($msg->err) {
echo $msg->errstr(), "\n";
break;
} else {
echo $msg->payload, "\n";
}
}
Low-level consuming from multiple topics / partitions (legacy)
Note The low-level consumer is a legacy API, please prefer using the high-level consumer
Consuming from multiple topics and/or partitions can be done by telling librdkafka to forward all messages from these topics/partitions to an internal queue, and then consuming from this queue:
Creating the queue:
<?php
$queue = $rk->newQueue();
Adding topic partitions to the queue:
<?php
$topic1 = $rk->newTopic("topic1");
$topic1->consumeQueueStart(0, RD_KAFKA_OFFSET_BEGINNING, $queue);
$topic1->consumeQueueStart(1, RD_KAFKA_OFFSET_BEGINNING, $queue);
$topic2 = $rk->newTopic("topic2");
$topic2->consumeQueueStart(0, RD_KAFKA_OFFSET_BEGINNING, $queue);
Next, retrieve the consumed messages from the queue:
<?php
while (true) {
// The only argument is the timeout.
$msg = $queue->consume(1000);
if (null === $msg || $msg->err === RD_KAFKA_RESP_ERR__PARTITION_EOF) {
// Constant check required by librdkafka 0.11.6. Newer librdkafka versions will return NULL instead.
continue;
} elseif ($msg->err) {
echo $msg->errstr(), "\n";
break;
} else {
echo $msg->payload, "\n";
}
}
Using stored offsets
Broker (default)
librdkafka per default stores offsets on the broker.
File offsets (deprecated)
If you're using local file for offset storage, then by default the file is created in the current directory, with a
name based on the topic and the partition. The directory can be changed by setting the offset.store.path
configuration property.
Consumer settings
Low-level consumer: auto commit settings
To manually control the offset, set enable.auto.offset.store
to false
.
The settings auto.commit.interval.ms
and auto.commit.enable
will control
if the stored offsets will be auto committed to the broker and in which interval.
High-level consumer: auto commit settings
To manually control the offset, set enable.auto.commit
to false
.
High level consumer: max.poll.interval.ms
Maximum allowed time between calls to consume messages for high-level consumers.
If this interval is exceeded the consumer is considered failed and the group will
rebalance in order to reassign the partitions to another consumer group member.
Consumer group id (general)
group.id
is responsible for setting your consumer group ID and it should be unique (and should
not change). Kafka uses it to recognize applications and store offsets for them.
<?php
$topicConf = new RdKafka\TopicConf();
$topicConf->set("auto.commit.interval.ms", 1e3);
$topic = $rk->newTopic("test", $topicConf);
$topic->consumeStart(0, RD_KAFKA_OFFSET_STORED);
Interesting configuration parameters
Librdkafka Configuration reference
queued.max.messages.kbytes
librdkafka will buffer up to 1GB of messages for each consumed partition by default. You can lower memory usage by reducing the value of the queued.max.messages.kbytes
parameter on your consumers.
topic.metadata.refresh.sparse and topic.metadata.refresh.interval.ms
Each consumer and producer instance will fetch topics metadata at an interval defined by the topic.metadata.refresh.interval.ms
parameter. Depending on your librdkafka version, the parameter defaults to 10 seconds, or 600 seconds.
librdkafka fetches the metadata for all topics of the cluster by default. Setting topic.metadata.refresh.sparse
to the string "true"
makes sure that librdkafka fetches only the topics he uses.
Setting topic.metadata.refresh.sparse
to "true"
, and topic.metadata.refresh.interval.ms
to 600 seconds (plus some jitter) can reduce the bandwidth a lot, depending on the number of consumers and topics.
internal.termination.signal
This setting allows librdkafka threads to terminate as soon as librdkafka is done with them. This effectively allows your PHP processes / requests to terminate quickly.
When enabling this, you have to mask the signal like this:
<?php
// once
pcntl_sigprocmask(SIG_BLOCK, array(SIGIO));
// any time
$conf->set('internal.termination.signal', SIGIO);
socket.blocking.max.ms (librdkafka < 1.0.0)
Maximum time a broker socket operation may block. A lower value improves responsiveness at the expense of slightly higher CPU usage.
Reducing the value of this setting improves shutdown speed. The value defines the maximum time librdkafka will block in one iteration of a read loop. This also defines how often the main librdkafka thread will check for termination.
queue.buffering.max.ms
This defines the maximum and default time librdkafka will wait before sending a batch of messages. Reducing this setting to e.g. 1ms ensures that messages are sent ASAP, instead of being batched.
This has been seen to reduce the shutdown time of the rdkafka instance, and of the PHP process / request.
Performance / Low-latency settings
Here is a configuration optimized for low latency. This allows a PHP process / request to send messages ASAP and to terminate quickly.
<?php
$conf = new \RdKafka\Conf();
$conf->set('socket.timeout.ms', 50); // or socket.blocking.max.ms, depending on librdkafka version
if (function_exists('pcntl_sigprocmask')) {
pcntl_sigprocmask(SIG_BLOCK, array(SIGIO));
$conf->set('internal.termination.signal', SIGIO);
} else {
$conf->set('queue.buffering.max.ms', 1);
}
$producer = new \RdKafka\Producer($conf);
$consumer = new \RdKafka\Consumer($conf);
It is advised to call poll at regular intervals to serve callbacks. In php-rdkafka:3.x
poll was also called during shutdown, so not calling it in regular intervals might
lead to a slightly longer shutdown. The example below polls until there are no more events in the queue:
$producer->produce(...);
while ($producer->getOutQLen() > 0) {
$producer->poll(1);
}
Documentation
https://arnaud-lb.github.io/php-rdkafka-doc/phpdoc/book.rdkafka.html
The source of the documentation can be found here
Asking for Help
If the documentation is not enough, feel free to ask a questions on the php-rdkafka channels on Gitter or Google Groups.
Stubs
Because your IDE is not able to auto discover php-rdkadka api you can consider usage of external package providing a set of stubs for php-rdkafka classes, functions and constants: kwn/php-rdkafka-stubs
Contributing
If you would like to contribute, thank you :)
Before you start, please take a look at the CONTRIBUTING document to see how to get your changes merged in.
Credits
Documentation copied from librdkafka.
Authors: see contributors.
License
php-rdkafka is released under the MIT license.