pykafka | Apache Kafka client for Python | Pub Sub library
kandi X-RAY | pykafka Summary
kandi X-RAY | pykafka Summary
Apache Kafka client for Python; high-level & low-level consumer/producer, with great performance.
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Top functions reviewed by kandi - BETA
- Return an argument parser
- Adds the consumer group argument
- Adds the limit argument to the parser
- Add offset to parser
- Build the default error handlers
- Update the consumer
- Discovers the coordinator
- Run setup
- Get the version number
- Consume messages from Kafka
- Unpack data from a stream
- Prints the list of managed consumer groups
- Return a byte string representation of the message
- Print offsets
- Decompress a buffer using snappy
- Print the consumer lag information
- Fetch API versions
- Return the version number
- Return a byte representation of the message
- Parse the workbench benchmark
- Calculate the partition range based on the partition range
- Return the highest supported version of the client
- Reset offsets to Kafka
- This function is used to deal with round robin
- Get a byte representation of the message
- Plot the histogram of the given sortable
- Rebalance group assignment
pykafka Key Features
pykafka Examples and Code Snippets
Lines of Code : 45License : Permissive (Apache-2.0)
Copy>> git clone "https://github.com/mfontanini/cppkafka.git"
>> unzip cppkafka.git
>> cd cppkafka
>> mkdir build
>> cd build
>> cmake ..
>> make
此时动态库文件在build 目录下的./src/lib64/libcppkafka
>> git clone http import kafka
producer = kafka.producer.Producer('test')
with producer.batch() as messages:
print "Batching a send of multiple messages.."
messages.append(kafka.message.Message("first message to send")
messages.append(kafka.message.Message("sec import kafka
consumer = kafka.consumer.Consumer('test')
for message in consumer.loop():
print message
def send_message(data, name_topic, id):
client = get_kafka_client()
topic = client.topics[name_topic]
producer = topic.get_sync_producer()
producer.produce(data, partition_key=f"{name_topic[:2]}{id}".encode())
# Creatiimport json
producer = KafkaProducer(
bootstrap_servers='mykafka-broker',
value_serializer=lambda v: json.dumps(v).encode('utf-8')
)
with topic.get_producer(delivery_reports=True, linger_ms=120000) as producer:
...
import asyncio
from pykafka import KafkaClient
import queue, datetime
class AsyncProduceReport(object):
def __init__(self, topic):
self.client = KafkaClient(hosts='127.0.0.1:9092')
self.topic = self.client.topics[bytesfrom pykafka import KafkaClient
import threading
KAFKA_HOST = "localhost:9092" # Or the address you want
client = KafkaClient(hosts = KAFKA_HOST)
topic = client.topics["test"]
with topic.get_sync_producer() as producer:
for i in ran[Unit]
Description=A Kafka Consumer written in Python
After=network.target # include any other pre-requisites
[Service]
Type=simple
User=your_user
Group=your_user_group
WorkingDirectory=/path/to/your/consumer
ExecStart=python consumer.pypublic class Prioritizer extends TimerTask {
private Map topicPartitionLocks = new ConcurrentHashMap<>();
private Map topicPartitionLatestTimestamps = new ConcurrentHashMap<>();
@Override
public void run(){
Community Discussions
Trending Discussions on pykafka
QUESTION
I set up a 3 nodes Kafka cluster with docker-compose, I then created 5 topics with 3 partitions and replication factor of 3. I set the producers to be connected to the port of each node.
Messages go from one place to another in order (as it should), but I realised after checking my cluster with an UI that all the messages of all topics are going to the same partition (partition #2).
At first, I thought that it might have to do with not having set any partition key for the messages, so I modified my script to add a partition key to every message (a combination of the first two letters of the topic and the id number of the tweet, does this partition key format make any sense though?) but the problem persists.
This is the code (it receives tweets from the Twitter API v2 and send messages with the producer):
...ANSWER
Answered 2022-Mar-20 at 14:41It should send to multiple partitions if no key is given. If you give a key, then you run the risk that the same partition hash is computed, even if you have differing keys.
You may want to test with other libraries such as kafka-python or confluent-kafka-python since PyKafka is no longer maintained
QUESTION
I'm trying to generate keys for every message in Kafka, for that purpose I want to create a key generator that joins the topic first two characters and the tweet id.
Here is an example of the messages that get sent in kafka:
...ANSWER
Answered 2022-Mar-18 at 12:39I found the error, I should've been encoding the partition key and not the json id:
QUESTION
I have 1 consumer group and 5 consumers. There are 5 partitions too hence each consumer gets 1 partition.
CLI also shows that
...ANSWER
Answered 2022-Feb-24 at 15:45Print the partition and offset of the messages. You should see they are, in fact, unique events you're processing.
If those are the same, the "10min to 4hr" process is very likely causing a consumer group rebalance (Kafka requires you to invoke a record poll every few milliseconds, by default), and you're experiencing at-least-once processing semantics, and therefore need to handle duplicates on your own.
I see you're using some database client in your code, and so the recommendation would be to use Kafka Connect framework, rather than writing your own Consumer
QUESTION
I have a project that worked on ubuntu 16.04 with python 3.6 but now we are trying to make it run on ubuntu 20.04 with same python version. I need to install all requirements on the venv and apparently its only mysqlclient==1.3.12 that fails.
Went through lots of articles on stackoverflow but none of them seem to solve the problem.
Error for pip3 install mysqlclient==1.3.12
...ANSWER
Answered 2021-Oct-01 at 14:15You're using old mysqlclient 1.3.12 with new MySQL 8. Either you need to downgrade MySQL to version 5.6. Or you need to use later mysqlclient.
The incompatibility was fixed in commit a2ebbd2 on Dec 21, 2017 so you need a later version of mysqlclient.
mysqlclient 1.3.13 was released on Jun 27, 2018. Try it or any later version.
QUESTION
Due to pykafka EOL we are in the process of migration to confluent-kafka-python. For pykafka we wrote an elaborated script that produced output in the format:
I am wondering whether there is a Python code that knows how to do something similar for the confluent-kafka-python?
small print: there is a partial example on how to read offsets per given consumer_group. However, I struggle to get the list of consumer_group per topic without manually parsing __consumer_offsets.
ANSWER
Answered 2021-Mar-16 at 08:16Use admin_client.list_groups() to get a list of groups, and admin_client.list_topics() to get all topics and partitions in the cluster and client.get_watermark_offsets() for the given topics.
Then for each consumer group instantiate a new consumer with the corresponding group.id, create a TopicPartition list to query committed offsets for and then call c.committed() to retrieve the committed offsets.
Subtract the committed offsets from the high watermark to get th
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install pykafka
You can use pykafka like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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