python kafka consumer

#-*-coding:utf-8-*-" "' use Kafka-python 1.3.3 Module # pip install kafka==1.3.5 # pip install kafka-python==1.3.5" "ImportSYSImport TimeImportJSON fromKafkaImportKafkaproducer fromKafkaImportKafkaconsumer fromKafka.errorsImportKafkaerrorkafaka_host="101.236.51.235"Kafaka_po

Import threadingFrom Kafka import KafkaconsumerThreads = []Class MyThread (threading. Thread):def __init__ (self, ThreadName, keyName):Threading. Thread.__init__ (self)Self.threadname=threadnameSelf.keyname=keynamedef run (self):Receiveinfo (Self.threadname, Self.keyname)def receiveinfo (ThreadName, KeyName):Consumer = kafkaconsumer (' Test ', bootstrap_servers= ' 192.168.1.10:9092 ')For MSG in consumer:If

to auto-commit interval "" " consumer=kafkaconsumer (Self._topic,bootstrap_servers=self._bootstrap_server, group_id=self._groupId,client_id=self._clientId,enable_auto_commit=True, auto_commit_ Interval_ms=5000,value_deserializer=lambdam:json.loads (M.decode (' Utf-8 '))) "" " There is no need to display theThe subscription function is called, the theme is specified when initializing the Kafkaconsumer object, and the subscription function is au

to auto-commit interval "" " consumer=kafkaconsumer (Self._topic,bootstrap_servers=self._bootstrap_server, group_id=self._groupId,client_id=self._clientId,enable_auto_commit=True, auto_commit_ Interval_ms=5000,value_deserializer=lambdam:json.loads (M.decode (' Utf-8 '))) "" " There is no need to display theThe subscription function is called, the theme is specified when initializing the Kafkaconsumer object, and the subscription function is au

Have always wanted to write a little about Kafka consumer, especially about the new version of the consumer Chinese information is very few. Recently, the Kafka Community Mail group has been discussing whether to formally use the new version consumer replace the old version,

In the previous blog, how to send each record as a message to the Kafka message queue in the project storm. Here's how to consume messages from the Kafka queue in storm. Why the staging of data with Kafka Message Queuing between two topology file checksum preprocessing in a project still needs to be implemented. The project directly uses the kafkaspout provided

Https://github.com/edenhill/librdkafka/wiki/Broker-version-compatibilityIf you are using the broker version of 0.8, you will need to set the-X broker.version.fallback=0.8.x.y if you run the routine or you cannot runFor example, my example:My Kafka version is 0.9.1.Unzip Librdkafka-master.zipCD Librdkafka-master./configure make make installCD examples./rdkafka_consumer_example-b 192.168.10.10:9092 One_way_traffic-x broker.version.fallback=0.9.1C lang

Kafka provides two sets of APIs to consumer The high-level Consumer API The Simpleconsumer API the first highly abstracted consumer API, which is simple and convenient to use, but for some special needs we might want to use the second, lower-level API, so let's start by describing what the second API

into sequential write, combined with the zero-copy features greatly improved IO performance. However, this is only one aspect, after all, the ability of single-machine optimization is capped. How can you further increase throughput by horizontally scaling even linear scaling? kafka is the use of partitioning (partition), which enables the high throughput of message processing (either producer or consumer)

Transferred from: HTTP://WWW.TUICOOL.COM/ARTICLES/AJ6FAJ3How to determine the number of partitions, keys, and consumer threads for Kafka in the QQ group of the Kafak Chinese community, the proportion of the problem mentioned is quite high, which is one of the most frequently encountered problems for Kafka users. This paper, combined with

the underlying channel in different ways based on the timeout configuration If the data block is a close command, return directly Otherwise, gets the current topic information. If the displacement value to be requested is greater than the current consumption, then consumer may lose data. Then get a iterator and call the next method to get the next element and construct a new Messageandmetadata instance to return 3. Clearcurrentchunk:

reproduced original: http://www.cnblogs.com/huxi2b/p/4757098.html How to determine the number of partitions, key, and consumer threads for Kafka In the QQ group of the Kafak Chinese community, the proportion of the problem mentioned is quite high, which is one of the most common problems Kafka users encounter. This article unifies the

Kafka the number of partitions is not the more the better? Advantages of multiple partitionsKafka uses partitioning to break topic messages to multiple partition distributions on different brokers, enabling high throughput of producer and consumer message processing. Kafka's producer and consumer can operate in parallel in multiple threads, and each thread is pro

socket connection.4. Each send will re-establish the connection5, the client will automatically get topic partition information, so Kafka rebalance, is not affected by theCONSUMERConsumer API has two official, commonly known as: high-level consumer API and Simpleconsumer API.The first highly abstract consumer API, which is simple and convenient to use, but for s

Kafka Consumer API Example 1. Auto-confirm OffsetDescription Reference: http://blog.csdn.net/xianzhen376/article/details/51167333Properties Props = new properties ();/* Defines the address of the KAKFA service and does not require all brokers to be specified on */props. put ("Bootstrap.servers","localhost:9092");/* Develop consumer group */props. put ("Group.id",

Kafka Producer Consumer, kafkaproducerProducer API Org. apache. kafka. clients. producer. KafkaProducer 1 props.put("bootstrap.servers", "192.168.1.128:9092"); 2 props.put("acks", "all"); 3 props.put("retries", 0); 4 props.put("batch.size", 16384); 5 props.put("linger.ms", 1); 6 props.put("buffer.memory", 33554432); 7 props.put("key.serializer", "org.apache.kafk

Logger = Loggerfactory.getlogger ( This. GetClass ()); @KafkaListener (Topics= {"Test"}) Public voidListen (consumerrecordrecord) {Logger.info ("Kafka key:" +Record.key ()); Logger.info ("Kafka Value:" +Record.value (). toString ()); }}Tips1) I did not describe how to install the configuration Kafka, the best way to configure

Kafka Consumer API is the interface of the client, encapsulates the receipt of messages, heartbeat detection, Consumer rebalance, etc., the code of this analysis is based on the kafka-clients-0.10.0.1 Java versionKafkaconsumer.pollonce is the polling entry that completes a polling action, including all the logic relate

1. Start the production and consumption process using 127.0.0.1: 1) Start the producer process: bin/kafka-console-producer.sh--broker-list 127.0.0.1:9092--topic test Input message: This is MSG Producer Process Error: [2016-06-03 11:33:47,934] WARN Bootstrap broker 127.0.0.1:9092 Disconnected (org.apache.kafka.clients.NetworkClient) [2016-06-03 11:33:49,554] WARN Bootstrap broker 127.0.0.1:9092 Disconnected (org.apache.kafka.clients.NetworkClient)

For Kafkaconsumer, it is not like kafkaproducer, not thread-safe, the state is maintained in the consumer, so the implementation should pay attention to the use of multi-threading, generally there are 2 ways to use: 1: Each consumer has its own thread, Consumer to pull data, and processing, this method is relatively simple, easy to implement, easy to process mess