Не удалось найти лидера по темам;java.lang.NullPointerException NullPointerException в org.apache.kafka.common.utils.Utils.formatAddress

Question

Когда мы пытаемся передать данные из раздела Kafka с поддержкой SSL, мы сталкиваемся с ошибкой ниже. Можете ли вы помочь нам в этом вопросе.

19/11/07 13:26:54 INFO ConsumerFetcherManager: [ConsumerFetcherManager-1573151189884] Added fetcher for partitions ArrayBuffer()
19/11/07 13:26:54 WARN ConsumerFetcherManager$LeaderFinderThread: [spark-streaming-consumer_dvtcbddc101.corp.cox.com-1573151189725-d40a510f-leader-finder-thread], Failed to find leader for Set([inst_monitor_status_test,2], [inst_monitor_status_test,0], [inst_monitor_status_test,1])
java.lang.NullPointerException
        at org.apache.kafka.common.utils.Utils.formatAddress(Utils.java:408)
        at kafka.cluster.Broker.connectionString(Broker.scala:62)
        at kafka.client.ClientUtils$$anonfun$fetchTopicMetadata$5.apply(ClientUtils.scala:89)
        at kafka.client.ClientUtils$$anonfun$fetchTopicMetadata$5.apply(ClientUtils.scala:89)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
        at scala.collection.AbstractTraversable.map(Traversable.scala:104)
        at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:89)
        at kafka.consumer.ConsumerFetcherManager$LeaderFinderThread.doWork(ConsumerFetcherManager.scala:66)
        at kafka.utils.ShutdownableThread.run(ShutdownableThread.scala:60)

Код Pyspark:

from __future__ import print_function

import sys

from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
from pyspark import SparkConf, SparkContext
from operator import add
import sys
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
import json
from kafka import SimpleProducer, KafkaClient
from kafka import KafkaProducer


def handler(message):
    records = message.collect()
    for record in records:
        print(record)


if __name__ == "__main__":
    if len(sys.argv) != 3:
        print("Usage: kafka_wordcount.py <zk> <topic>", file=sys.stderr)
        exit(-1)
    sc = SparkContext(appName="PythonStreamingKafkaWordCount")
    ssc = StreamingContext(sc, 10)

    zkQuorum, topic = sys.argv[1:]
    kvs = KafkaUtils.createStream(ssc, zkQuorum, "spark-streaming-consumer", {topic: 1})
    lines = kvs.map(lambda x: x[1])
    counts = lines.flatMap(lambda line: line.split(" ")).map(lambda word: (word, 1)).reduceByKey(lambda a, b: a+b)
    counts.pprint()
    kvs.foreachRDD(handler)

    ssc.start()
    ssc.awaitTermination()

Команда отправки Spark:

Отправка Spark:

/ usr / hdp / 2.6.1.0-129/ spark2 / bin / spark-submit --packages org.apache.spark: spark-streaming-kafka-0-8_2.11: 2.1.0, org.apache.spark: spark-sql-kafka-0-10_2.11: 2.1.0, org.apache.spark: spark-sql-kafka-0-10_2.11: 2.3.0 dsstream2.py хост: 2181 inst_monitor_status_test

Answer 1

Спасибо за ваш вклад. Я передал параметры SSL в следующем методе и работает нормально, как и ожидалось.

from pyspark.sql import SparkSession
from pyspark.sql.functions import *
from pyspark.sql.types import *
from pyspark.streaming import StreamingContext
import time

#  Spark Streaming context :

spark = SparkSession.builder.appName('PythonStreamingDirectKafkaWordCount').getOrCreate()
sc = spark.sparkContext
ssc = StreamingContext(sc, 20)

#  Kafka Topic Details :

KAFKA_TOPIC_NAME_CONS = "topic_name"
KAFKA_OUTPUT_TOPIC_NAME_CONS = "topic_to_hdfs"
KAFKA_BOOTSTRAP_SERVERS_CONS = 'kafka_server:9093'

#  Creating  readstream DataFrame :

df = spark.readStream \
     .format("kafka") \
     .option("kafka.bootstrap.servers", KAFKA_BOOTSTRAP_SERVERS_CONS) \
     .option("subscribe", KAFKA_TOPIC_NAME_CONS) \
     .option("startingOffsets", "earliest") \
     .option("kafka.security.protocol","SASL_SSL")\
     .option("kafka.client.id" ,"Clinet_id")\
     .option("kafka.sasl.kerberos.service.name","kafka")\
     .option("kafka.ssl.truststore.location", "/home/path/kafka_trust.jks") \
     .option("kafka.ssl.truststore.password", "password_rd") \
     .option("kafka.sasl.kerberos.keytab","/home/path.keytab") \
     .option("kafka.sasl.kerberos.principal","path") \
     .load()

df1 = df.selectExpr( "CAST(value AS STRING)")

#  Creating  Writestream DataFrame :

df1.writeStream \
   .option("path","target_directory") \
   .format("csv") \
   .option("checkpointLocation","chkpint_directory") \
   .outputMode("append") \
   .start()

ssc.awaitTermination()