org.apache.spark.streaming.kafka

Class KafkaUtilsPythonHelper

Object

org.apache.spark.streaming.kafka.KafkaUtilsPythonHelper

public class KafkaUtilsPythonHelper
extends Object

This is a helper class that wraps the KafkaUtils.createStream() into more Python-friendly class and function so that it can be easily instantiated and called from Python's KafkaUtils (see SPARK-6027).

The zero-arg constructor helps instantiate this class from the Class object classOf[KafkaUtilsPythonHelper].newInstance(), and the createStream() takes care of known parameters instead of passing them from Python

Constructor Summary

Constructors

Constructor and Description
KafkaUtilsPythonHelper()

Method Summary

Methods

Modifier and Type	Method and Description
Broker	createBroker(String host, Integer port)
JavaPairInputDStream<byte[],byte[]>	createDirectStream(JavaStreamingContext jssc, java.util.Map<String,String> kafkaParams, java.util.Set<String> topics, java.util.Map<kafka.common.TopicAndPartition,Long> fromOffsets)
OffsetRange	createOffsetRange(String topic, Integer partition, Long fromOffset, Long untilOffset)
JavaPairRDD<byte[],byte[]>	createRDD(JavaSparkContext jsc, java.util.Map<String,String> kafkaParams, java.util.List<OffsetRange> offsetRanges, java.util.Map<kafka.common.TopicAndPartition,Broker> leaders)
JavaPairReceiverInputDStream<byte[],byte[]>	createStream(JavaStreamingContext jssc, java.util.Map<String,String> kafkaParams, java.util.Map<String,Integer> topics, StorageLevel storageLevel)
kafka.common.TopicAndPartition	createTopicAndPartition(String topic, Integer partition)

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

KafkaUtilsPythonHelper

public KafkaUtilsPythonHelper()

Method Detail

createStream

public JavaPairReceiverInputDStream<byte[],byte[]> createStream(JavaStreamingContext jssc,
                                                       java.util.Map<String,String> kafkaParams,
                                                       java.util.Map<String,Integer> topics,
                                                       StorageLevel storageLevel)

createRDD

public JavaPairRDD<byte[],byte[]> createRDD(JavaSparkContext jsc,
                                   java.util.Map<String,String> kafkaParams,
                                   java.util.List<OffsetRange> offsetRanges,
                                   java.util.Map<kafka.common.TopicAndPartition,Broker> leaders)

createDirectStream

public JavaPairInputDStream<byte[],byte[]> createDirectStream(JavaStreamingContext jssc,
                                                     java.util.Map<String,String> kafkaParams,
                                                     java.util.Set<String> topics,
                                                     java.util.Map<kafka.common.TopicAndPartition,Long> fromOffsets)

createOffsetRange

public OffsetRange createOffsetRange(String topic,
                            Integer partition,
                            Long fromOffset,
                            Long untilOffset)

createTopicAndPartition

public kafka.common.TopicAndPartition createTopicAndPartition(String topic,
                                                     Integer partition)

createBroker

public Broker createBroker(String host,
                  Integer port)