kafka-pixy

Kafka-Pixy (gRPC/REST Proxy for Kafka)

Kafka-Pixy is a dual API (gRPC and REST) proxy for Kafka with automatic consumer group control. It is designed to hide the complexity of the Kafka client protocol and provide a stupid simple API that is trivial to implement in any language.

Kafka-Pixy supports Kafka versions form 0.8.2.0 to 0.10.2.0. It uses the Kafka Offset Commit/Fetch API to keep track of consumer offsets. However Group Membership API is not yet implemented, therefore it needs to talk to Zookeeper directly to manage consumer group membership.

If you are anxious to get started then install Kafka-Pixy and proceed with a quick start guide for your weapon of choice: Curl, Python, or Golang. If you want to use some other language, then you still can use either of the guides for inspiration, but you would need to generate gRPC client stubs from kafkapixy.proto yourself (please refer to gRPC documentation for details).

Key Features:

• At Least Once Guarantee: The main feature of Kafka-Pixy is that it guarantees at-least-once message delivery. The guarantee is achieved via combination of synchronous production and explicit acknowledgement of consumed messages;
• Dual API: Kafka-Pixy provides two types of API:
  • gRPC (Protocol Buffers over HTTP/2) recommended to produce/consume messages;
  • REST (JSON over HTTP) intended for for testing and operations purposes, although you can use it to produce/consume messages too;
• Muli-Cluster Support: One Kafka-Pixy instance can proxy to several Kafka clusters. You just need to define them in the config file and then address clusters by name given in the config file in your API requests.
• Aggregation: Kafka works best when messages are read/written in batches, but from application standpoint it is easier to deal with individual message read/writes. Kafka-Pixy provides message based API to clients, but internally it aggregates requests and sends them to Kafka in batches.
• Locality: Kafka-Pixy is intended to run on the same host as the applications using it. Remember that it provides only message based API - no batching, therefore using it over network is suboptimal.

gRPC API

gRPC is an open source framework that is using Protocol Buffers as interface definition language and HTTP/2 as transport protocol. Kafka-Pixy API is defined in kafkapixy.proto. Client stubs for Golang and Python are generated and provided in this repository, but you can easily generate stubs for a bunch of other languages. Please refer to the gRPC documentation for information on the language of your choice.

HTTP API

It is highly recommended to use gRPC API for production/consumption. The HTTP API is only provided for quick tests and operational purposes.

Each API endpoint has two variants which differ by /clusters/<cluster> prefix. The one with the proxy prefix is to be used when multiple clusters are configured. The one without the prefix operates on the default cluster (the one that is mentioned first in the YAML configuration file).

Produce

POST /topics/<topic>/messages
POST /clusters/<cluster>/topics/<topic>/messages

Writes a message to a topic on a particular cluster. If the request content type either text/plain or application/json then a message should be send as the body of a request. If content type is x-www-form-urlencoded then a message should be pass as the msg form parameter.

By default the message is written to Kafka asynchronously, that is the HTTP request completes as soon as Kafka-Pixy reads the request from the wire, and production to Kafka is performed on the background. Therefore it is not guarantee that the message will ever get into Kafka.

If you need a guarantee that a message is written to Kafka, then pass sync flag with your request. In that case when Kafka-Pixy returns a response is governed by producer.required_acks parameter in the YAML config. It can be one of:

• no_response: the response is returned as soon as a produce request is delivered to a partition leader Kafka broker (no disk writes performed yet).
• wait_for_local: the response is returned as soon as data is written to the disk by a partition leader Kafka broker.
• wait_for_all: the response is returned after all in-sync replicas have data committed to disk.

E.g. if a Kafka-Pixy process has been started with the --tcpAddr=0.0.0.0:8080 argument, then you can test it using curl as follows:

curl -X POST localhost:8080/topics/foo/messages?key=bar&sync \
  -H 'Content-Type: text/plain' \
  -d 'Good news everyone!'

If the message is submitted asynchronously then the response will be an empty json object {}.

If the message is submitted synchronously then in case of success (HTTP status 200) the response will be like:

{
  "partition": <partition number>,
  "offset": <message offset>
}

In case of failure (HTTP statuses 404 and 500) the response will be:

{
  "error": <human readable explanation>
}

Consume

GET /topics/<topic>/messages
GET /clusters/<cluster>/topics/<topic>/messages

Consumes a message from a topic of a particular cluster as a member of a particular consumer group. A message previously consumed from the same topic can be optionally acknowledged.

If noAck is defined in a request then no message is acknowledged by the request. If a request defines both ackPartition and ackOffset parameters then a message previously consumed from the same topic from the specified partition with the specified offset is acknowledged by the request. If none of the ack relates parameters is specified then the request will acknowledge the message consumed in this requests if any. It is called auto-ack mode.

When a message is consumed as a member of a consume group for the first time, Kafka-Pixy joins the consumer group and subscribes to the topic. All Kafka-Pixy instances that are currently members of that group and subscribed to that topic distribute partitions between themselves, so that each Kafka-Pixy instance gets a subset of partitions for exclusive consumption (Read more about what the Kafka consumer groups here).

If a Kafka-Pixy instance has not received consume requests for a topic for subscription timeout, then it unsubscribes from the topic, and the topic partitions are redistributed among Kafka-Pixy instances that are still consuming from it.

If there are no unread messages in the topic the request will block waiting for long polling timeout. If there are no messages produced during this long poll waiting then the request will return 408 Request Timeout error, otherwise the response will be a JSON document of the following structure:

{
  "key": <base64 encoded key>,
  "value": <base64 encoded message body>,
  "partition": <partition number>,
  "offset": <message offset>
}

e.g.:

{
  "key": "0JzQsNGA0YPRgdGP",
  "value": "0JzQvtGPINC70Y7QsdC40LzQsNGPINC00L7Rh9C10L3RjNC60LA=",
  "partition": 0,
  "offset": 13
}

Acknowledge

POST /topics/<topic>/messages
POST /clusters/<cluster>/topics/<topic>/messages

Acknowledges a previously consumed message.

Get Offsets

GET /topics/<topic>/offsets
GET /clusters/<cluster>/topics/<topic>/offsets

Returns offset information for all partitions of the specified topic including the next offset to be consumed by the specified consumer group. The structure of the returned JSON document is as follows:

[
  {
    "partition": <partition id>,
    "begin": <oldest offset>,
    "end": <newest offset>,
    "count": <the number of messages in the topic, equals to `end` - `begin`>,
    "offset": <next offset to be consumed by this consumer group>,
    "lag": <equals to `end` - `offset`>,
    "metadata": <arbitrary string committed with the offset, not used by Kafka-Pixy. It is omitted if empty>
  },
  ...
]

Set Offsets

POST /topics/<topic>/offsets
POST /clusters/<cluster>/topics/<topic>/offsets

Sets offsets to be consumed from the specified topic by a particular consumer group. The request content should be a list of JSON objects, where each object defines an offset to be set for a particular partition:

[
  {
    "partition": <partition id>,
    "offset": <next offset to be consumed by this consumer group>,
    "metadata": <arbitrary string>
  },
  ...
]

Note that consumption by all consumer group members should cease before this call can be executed. That is necessary because while consuming Kafka-Pixy constantly updates partition offsets, and it does not expect them to be update by somebody else. So it only reads them on group initialization, that happens when a consumer group request comes after 20 seconds or more of the consumer group inactivity on all Kafka-Pixy working with the Kafka cluster.

List Consumers

GET /topics/<topic>/consumers
GET /clusters/<cluster>/topics/<topic>/consumers

Returns a list of consumers that are subscribed to a topic.

e.g.:

curl -G localhost:19092/topic/some_queue/consumers

yields:

{
  "integrations": {
    "pixy_jobs1_62065_2015-09-24T22:21:05Z": [0,1,2,3],
    "pixy_jobs2_18075_2015-09-24T22:21:28Z": [4,5,6],
    "pixy_jobs3_336_2015-09-24T22:21:51Z": [7,8,9]
  },
  "logstash-customer": {
    "logstash-customer_logs01-1443116116450-7f54d246-0": [0,1,2],
    "logstash-customer_logs01-1443116116450-7f54d246-1": [3,4,5],
    "logstash-customer_logs01-1443116116450-7f54d246-2": [6,7],
    "logstash-customer_logs01-1443116116450-7f54d246-3": [8,9]
  },
  "logstash-reputation4": {
    "logstash-reputation4_logs16-1443178335419-c08d8ab6-0": [0],
    "logstash-reputation4_logs16-1443178335419-c08d8ab6-1": [1],
    "logstash-reputation4_logs16-1443178335419-c08d8ab6-10": [2],
    "logstash-reputation4_logs16-1443178335419-c08d8ab6-11": [3],
    "logstash-reputation4_logs16-1443178335419-c08d8ab6-12": [4],
    "logstash-reputation4_logs16-1443178335419-c08d8ab6-13": [5],
    "logstash-reputation4_logs16-1443178335419-c08d8ab6-14": [6],
    "logstash-reputation4_logs16-1443178335419-c08d8ab6-15": [7],
    "logstash-reputation4_logs16-1443178335419-c08d8ab6-2": [8],
    "logstash-reputation4_logs16-1443178335419-c08d8ab6-3": [9]
  },
  "test": {
    "pixy_core1_47288_2015-09-24T22:15:36Z": [0,1,2,3,4],
    "pixy_in7_102745_2015-09-24T22:24:14Z": [5,6,7,8,9]
  }
}

List Topics

GET /topics
GET /clusters/<cluster>/topics

Returns a list of topics optionally with detailed configuration and partitions.

Get Topic Config

GET /topics/<topic>
GET /clusters/<cluster>/topics/<topic>

Returns topic configuration optionally with a list of partitions.

Configuration

Kafa-Pixy is designed to be very simple to run. It consists of a single executable that can be started just by passing a bunch of command line parameters to it - no configuration file needed.

However if you do need to fine-tune Kafka-Pixy for your use case, you can provide a YAML configuration file. Default configuration file default.yaml is shipped in the release archive. In you configuration file you can specify only parameters that you want to change, other options take their default values. If some option is both specified in the configuration file and provided as a command line argument, then the command line argument wins.

Command line parameters that Kafka-Pixy accepts are listed below:

You can run kafka-pixy -help to make it list all available command line parameters.

License

Kafka-Pixy is under the Apache 2.0 license. See the LICENSE file for details.