kafka-python | Python client for Apache Kafka | Pub Sub library

 by   dpkp Python Version: 2.0.2 License: Apache-2.0

kandi X-RAY | kafka-python Summary

kandi X-RAY | kafka-python Summary

kafka-python is a Python library typically used in Messaging, Pub Sub, Kafka applications. kafka-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install kafka-python' or download it from GitHub, PyPI.

Python client for Apache Kafka

            kandi-support Support

              kafka-python has a highly active ecosystem.
              It has 5211 star(s) with 1352 fork(s). There are 154 watchers for this library.
              It had no major release in the last 12 months.
              There are 243 open issues and 1174 have been closed. On average issues are closed in 154 days. There are 44 open pull requests and 0 closed requests.
              It has a negative sentiment in the developer community.
              The latest version of kafka-python is 2.0.2

            kandi-Quality Quality

              kafka-python has 0 bugs and 0 code smells.

            kandi-Security Security

              kafka-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              kafka-python code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              kafka-python is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              kafka-python releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              kafka-python saves you 10196 person hours of effort in developing the same functionality from scratch.
              It has 20744 lines of code, 1500 functions and 140 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed kafka-python and discovered the below as its top functions. This is intended to give you an instant insight into kafka-python implemented functionality, and help decide if they suit your requirements.
            • Return the set of nodes that are ready to be ready
            • Returns the leader for the given partition
            • Return the number of pending waiters
            • Returns True if all items in the queue have been consumed
            • Append a record to the accumulator
            • Increment the counter
            • Decrement the counter
            • Allocates a buffer from the pool
            • Handle a heartbeat response
            • Start the Kafka consumer
            • Get the committed offset of the given partition
            • Process a produce response
            • Commit offsets to Kafka
            • Returns a list of consumer group offsets
            • Alter configs of given config resources
            • Handle a group coordinator response
            • Perform assignment on given members
            • Argument parser
            • Create new topics
            • Encode a varint
            • Handle a JoinGroupResponse
            • Check the version of the broker
            • Start the consumer
            • Populate the sorted set of topics
            • Invoked when a member assignment is received
            • Subscribe to the consumer
            Get all kandi verified functions for this library.

            kafka-python Key Features

            No Key Features are available at this moment for kafka-python.

            kafka-python Examples and Code Snippets

            copy iconCopy
            find /usr/lib/jvm/ -name "cacerts" -exec cp {} /tmp/kafka.client.truststore.jks \;
            keytool --list -rfc -keystore /tmp/kafka.client.truststore.jks >/tmp/truststore.pem
            java -jar AuthMSK-1.0-SNAPSHOT.jar -caa  -ksl /tmp/kafka.client.keystore.jks -ks  
            Kafka Python Fake Data Producer,Installation
            Pythondot img2Lines of Code : 2dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            pip install faker
            pip install kafka-python
            Retrieve data from the list on the basis of value in Python
            Pythondot img3Lines of Code : 17dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            studentDetails = [["Dostoevsky", "Class: ", 1, "Marks: ", 100, "Grade: ", "A+"],
                              ["Tolstoy",    "Class: ", 1, "Marks: ", 90,  "Grade: ", "A-"],
                              ["Chekov",     "Class: ", 2, "Marks: ", 80,  "Grade: ", "A"
            Django custom queryset class slicing not working
            Pythondot img4Lines of Code : 8dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            my_list = list(User.pas1_objects.select_related("userlogindetails", "usermeta", "tenant")
                .exclude(userrolepermissions__role_id__in=["PG", "PD"], tenant_id__in=tenant_ids)
            # And the
            Set consumer offset
            Pythondot img5Lines of Code : 10dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def demoListPageMessages(topicName):
                consumer = KafkaConsumer(bootstrap_servers="localhost:9092",auto_offset_reset='earliest',consumer_timeout_ms=1000)
                tp = TopicPartition(topicName, 0)
            How to automatically generate partition keys for messages (Kafka + Python)?
            Pythondot img6Lines of Code : 20dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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())
            # Creati
            how to design a fastapi app with independent background computation?
            Pythondot img7Lines of Code : 11dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            my_service = MyService()
            async def service_tasks_startup():
                """Start all the non-blocking service tasks, which run in the background."""
            get results from kafka for a specific period of time
            Pythondot img8Lines of Code : 27dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            topic = 'some_topic_name'
            consumer = KafkaConsumer(bootstrap_servers=PROD_KAFKA_SERVER,
            get results from kafka for a specific period of time
            Pythondot img9Lines of Code : 9dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            partitions = consumer.assignment()
            month_ago_timestamp = int(month_ago.timestamp() * 1000)
            partition_to_timestamp = {part: month_ago_timestamp for part in partitions}
            mapping = consumer.offsets_for_times(partition_
            Python KafkaConsumer redirect json output (reply) to file
            Pythondot img10Lines of Code : 5dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            with open('Reply.json', 'a'):
                for r in consumer:

            Community Discussions


            "The filename or extension is too long" while installing confluent-kafka?
            Asked 2022-Mar-30 at 05:53

            I have some trouble installing confluent-kafka by using "pip install confluent-kafka". But I got this error: "The filename or extension is too long." Details are below.



            Answered 2022-Mar-30 at 05:53

            Windows versions lower than 1607 have limitations in place for maximum length for a path (set by MAX_PATH), which restricts file paths' lengths to be capped at 260 characters.

            Fortunately, if you are running Windows 10 version 1607, you can enable support for long paths:

            1. Click Win+R
            2. Type regedit and press Enter
            3. Go to Computer\HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\FileSystem
            4. Edit or create a key named LongPathsEnabled (type: REG_DWORD)
            5. Enter 1 as its value and press OK.
            6. Restart your system and try again. It should work now.

            Read more: Maximum Path Length Limitation in Windows

            Source https://stackoverflow.com/questions/71477633


            Set consumer offset
            Asked 2022-Mar-24 at 13:01

            If I want get all messages from to start offset, I run this shell command:



            Answered 2022-Mar-24 at 09:59

            I had to set up partition. This snippet work for me.

            Source https://stackoverflow.com/questions/71599786


            get results from kafka for a specific period of time
            Asked 2022-Mar-10 at 09:39

            Here is my code, that uses kafka-python.



            Answered 2022-Mar-09 at 13:48

            Get topic partitions, assigned to your consumer:

            Source https://stackoverflow.com/questions/71409971


            How to consume messages in last N days using confluent-kafka-python?
            Asked 2022-Feb-20 at 21:19

            This question is similar to Python KafkaConsumer start consuming messages from a timestamp except I want to know how to do it in the official Python Kafka client by Confluent.

            I looked into the Consumer.offsets_for_times function but I'm confused by that it accepts timestamps in the TopicPartition.offset field.

            How is a offset equivalent to a timestamp?



            Answered 2022-Feb-19 at 14:14

            That method doesn't accept timestamps; only partitions that you want to find timestamps for.


            Perhaps you mean the timeout parameter?

            Source https://stackoverflow.com/questions/71181728


            How do I get the the offset of last message of a Kafka topic using confluent-kafka-python?
            Asked 2022-Feb-19 at 23:51

            I need to retrive last N messages of a topic using confluent-kafka-python.

            I've been reading https://docs.confluent.io/platform/current/clients/confluent-kafka-python/html/index.html# for a day, but no finding any appropriate method for getting the offset of the last message, thus I cannot calculate the offset for consumer to start with.

            Please help. Thanks!



            Answered 2022-Feb-19 at 23:51

            You need the get_watermark_offsets() function of the Consumer. You call it with a list of TopicPartition and it returns a tuple (int, int) (low, high) for each partition.


            Something like this:

            Source https://stackoverflow.com/questions/71190043


            Kafka-connect to PostgreSQL - org.apache.kafka.connect.errors.DataException: Failed to deserialize topic to to Avro
            Asked 2022-Feb-11 at 14:44

            I've installed latest (7.0.1) version of Confluent platform in standalone mode on Ubuntu virtual machine.

            Python producer for Avro format

            Using this sample Avro producer to generate stream from data to Kafka topic (pmu214).

            Producer seems to work ok. I'll give full code on request. Producer output:



            Answered 2022-Feb-11 at 14:42

            If you literally ran the Python sample code, then the key is not Avro, so a failure on the key.converter would be expected, as shown

            Error converting message key

            Source https://stackoverflow.com/questions/71079242


            confluent-kafka-python json_producer : Unrecognized field: schemaType
            Asked 2022-Jan-08 at 15:08

            have encountered this error "Unrecognized field: schemaType (HTTP status code 422, SR code 422)" when i execute a json_producer.py example in Confluent Github repository

            this is my docker-compose:



            Answered 2022-Jan-08 at 15:08

            Jsonschema support was not added to the Confluent Schema Registry until version 6.0, and this is why the error reports issues about a schemaType field, because any lower versions of the Registry response/request payload do not know about that field.

            Upgrading to at least that version, or using the latest version of the image will solve that error

            If you just want to produce JSON, then you don't need the Registry. More details at https://www.confluent.io/blog/kafka-connect-deep-dive-converters-serialization-explained/ .
            You can use the regular producer.py example and provide JSON objects as strings on the CLI

            Source https://stackoverflow.com/questions/70558327


            Deserialize Protobuf kafka messages with Flink
            Asked 2022-Jan-03 at 21:36

            I am trying to read and print Protobuf message from Kafka using Apache Flink.

            I followed the official docs with no success: https://nightlies.apache.org/flink/flink-docs-master/docs/dev/datastream/fault-tolerance/serialization/third_party_serializers/

            The Flink consumer code is:



            Answered 2022-Jan-03 at 20:50

            The confluent protobuf serializer doesn't produce content that can be directly deserialized by other deserializers. The format is described in confluent's documentation: it starts with a magic byte (that is always zero), followed by a four byte schema ID. The protobuf payload follows, starting with byte 5.

            The getProducedType method should return appropriate TypeInformation, in this case TypeInformation.of(User.class). Without this you may run into problems at runtime.

            Deserializers used with KafkaSource don't need to implement isEndOfStream, but it won't hurt anything.

            Source https://stackoverflow.com/questions/70568413


            How to run Faust from Docker - ERROR: Failed building wheel for python-rocksdb
            Asked 2021-Dec-27 at 23:37

            I'm trying to run Python Faust from Docker.

            Based on this documentation: https://faust.readthedocs.io/en/latest/userguide/installation.html

            I created a simple Docker file:



            Answered 2021-Dec-27 at 23:37

            Read the error message, where it is clearly stated you are missing a header file:

            fatal error: rocksdb/slice.h: No such file or directory 705 | #include "rocksdb/slice.h" | ^~~~~~~~~~~~~~~~~ compilation terminated. error: command '/usr/bin/gcc' failed with exit code 1

            Accordingly, you'll need to build and install RocksDB. This is separate from the installation of faust[rocksdb] with pip. That simply installs python-rocksdb, the Python interface to the underlying libraries.

            There is even a (third-party) RocksDB docker image based on Python 3.7 Slim.

            You could use that directly or take some tricks from the Dockerfile for that image.

            Source https://stackoverflow.com/questions/70500665


            How to use kafka connect with JDBC sink and source using python
            Asked 2021-Dec-04 at 15:31

            I want to live stream from one system to another system .

            I am using kafka-python and am able to live stream locally.

            Figures out that connectors will handle multiple devices. Can someone suggest me a way to use connectors to implement it in python?



            Answered 2021-Dec-04 at 15:31

            Kafka Connect is a Java Framework, not Python.

            Kafka Connect runs a REST API which you can use urllib3 or requests to interact with it, not kafka-python


            Once you create a connector, you are welcome to use kafka-python to produce data, which the JDBC sink would consume, for example, or you can use pandas for example to write to a database, which the JDBC source (or Debezium) would consume

            Source https://stackoverflow.com/questions/69479564

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install kafka-python

            You can install using 'pip install kafka-python' or download it from GitHub, PyPI.
            You can use kafka-python 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.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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