我已成立了卡夫卡和火花在Ubuntu。我想读通过星火流媒体使用pyspark（Jupyter笔记本）卡夫卡的话题。 Spark是既不读数据，也不抛出任何错误。
卡夫卡生产者和消费者彼此上终端进行通信。卡夫卡被配置为与在端口9092,9093,9094 3个分区。消息获得存储在卡夫卡的话题。现在，我想通过星火流读它。我不知道我错过了什么。即使我已经探索它互联网上，但无法找到任何有效的解决方案。请帮我了解缺少的一部分。
卡夫卡制片人：斌/ kafka-console-producer.sh --broker列表本地主机：9092 --topic new_topic
卡夫卡消费者：斌/ kafka-console-consumer.sh --bootstrap-服务器localhost：9092 --topic new_topic --from-开始
Pyspark代码（Jupyter笔记本）：
#!/usr/bin/env python
# coding: utf-8
import os
os.environ['PYSPARK_PYTHON'] = '/usr/bin/python3'
os.environ['PYSPARK_SUBMIT_ARGS'] = '--packages
org.apache.spark:spark-streaming-kafka-0-8_2.11:2.3.2 pyspark-shell'
import findspark
findspark.init('/home/shekhar/spark-2.3.2-bin-hadoop2.7')
import pyspark
import sys
from pyspark import SparkConf,SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
from uuid import uuid1
if __name__=="__main__":
#sconf = SparkConf().setAppName("SparkStr").setMaster("local")
sc = SparkContext(appName="SparkStreamingReceiverKafkaWordCount")
sc.setLogLevel("WARN")
ssc = StreamingContext(sc,2)
broker,topic = sys.argv[1:]
kvs = KafkaUtils.createStream(ssc,"localhost:9092","raw-event-
streaming-consumer",{topic:1})
lines = kvs.map(lambda x: x[1])
lines.pprint()
ssc.start()
ssc.awaitTermination()
即在Jupyter笔记本显示输出：
-------------------------------------------
Time: 2019-01-30 00:52:18
-------------------------------------------
-------------------------------------------
Time: 2019-01-30 00:52:20
-------------------------------------------
星火提交命令：
bin/spark-submit
--packages org.apache.spark:spark-streaming-kafka-0-8_2.11:2.3.2 SparkKafka-Copy1.py localhost:9092 new_topic
--master spark://localhost:4040
对终端火花提交输出给出如下：
Ivy Default Cache set to: /home/shekhar/.ivy2/cache
The jars for the packages stored in: /home/shekhar/.ivy2/jars
:: loading settings :: url = jar:file:/home/shekhar/spark-2.3.2-bin-hadoop2.7/jars/ivy-2.4.0.jar!/org/apache/ivy/core/settings/ivysettings.xml
org.apache.spark#spark-streaming-kafka-0-8_2.11 added as a dependency
:: resolving dependencies :: org.apache.spark#spark-submit-parent-0698f154-2d3f-4d56-b2c5-099190b947df;1.0
confs: [default]
found org.apache.spark#spark-streaming-kafka-0-8_2.11;2.3.2 in central
found org.apache.kafka#kafka_2.11;0.8.2.1 in central
found org.scala-lang.modules#scala-xml_2.11;1.0.2 in central
found com.yammer.metrics#metrics-core;2.2.0 in central
found org.slf4j#slf4j-api;1.7.16 in central
found org.scala-lang.modules#scala-parser-combinators_2.11;1.0.4 in central
found com.101tec#zkclient;0.3 in central
found log4j#log4j;1.2.17 in central
found org.apache.kafka#kafka-clients;0.8.2.1 in central
found net.jpountz.lz4#lz4;1.2.0 in central
found org.xerial.snappy#snappy-java;1.1.2.6 in central
found org.spark-project.spark#unused;1.0.0 in central
:: resolution report :: resolve 617ms :: artifacts dl 19ms
:: modules in use:
com.101tec#zkclient;0.3 from central in [default]
com.yammer.metrics#metrics-core;2.2.0 from central in [default]
log4j#log4j;1.2.17 from central in [default]
net.jpountz.lz4#lz4;1.2.0 from central in [default]
org.apache.kafka#kafka-clients;0.8.2.1 from central in [default]
org.apache.kafka#kafka_2.11;0.8.2.1 from central in [default]
org.apache.spark#spark-streaming-kafka-0-8_2.11;2.3.2 from central in [default]
org.scala-lang.modules#scala-parser-combinators_2.11;1.0.4 from central in [default]
org.scala-lang.modules#scala-xml_2.11;1.0.2 from central in [default]
org.slf4j#slf4j-api;1.7.16 from central in [default]
org.spark-project.spark#unused;1.0.0 from central in [default]
org.xerial.snappy#snappy-java;1.1.2.6 from central in [default]
---------------------------------------------------------------------
| | modules || artifacts |
| conf | number| search|dwnlded|evicted|| number|dwnlded|
---------------------------------------------------------------------
| default | 12 | 0 | 0 | 0 || 12 | 0 |
---------------------------------------------------------------------
:: retrieving :: org.apache.spark#spark-submit-parent-0698f154-2d3f-4d56-b2c5-099190b947df
confs: [default]
0 artifacts copied, 12 already retrieved (0kB/25ms)
2019-01-30 18:40:19 WARN Utils:66 - Your hostname, shekhar-VirtualBox resolves to a loopback address: 127.0.1.1; using 10.0.2.15 instead (on interface enp0s3)
2019-01-30 18:40:19 WARN Utils:66 - Set SPARK_LOCAL_IP if you need to bind to another address
2019-01-30 18:40:19 WARN NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Exception in thread "main" java.io.IOException: Cannot run program "python": error=2, No such file or directory
at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048)
at org.apache.spark.deploy.PythonRunner$.main(PythonRunner.scala:100)
at org.apache.spark.deploy.PythonRunner.main(PythonRunner.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:894)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:198)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:228)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.IOException: error=2, No such file or directory
at java.lang.UNIXProcess.forkAndExec(Native Method)
at java.lang.UNIXProcess.<init>(UNIXProcess.java:247)
at java.lang.ProcessImpl.start(ProcessImpl.java:134)
at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029)
... 12 more
2019-01-30 18:40:19 INFO ShutdownHookManager:54 - Shutdown hook called
2019-01-30 18:40:19 INFO ShutdownHookManager:54 - Deleting directory /tmp/spark-e6d0532c-3593-4c28-8bb6-6d48aedb12f3
现在解决了。我不得不成立PYTHONPATH和导出在.bashrc文件的路径。
PYTHONPATH=/usr/bin/python3
export PATH=$PATH:$PYTHONPATH/bin
随着在根据createstream的主要功能，动物园管理员端口改为2181，这是错误的9092给出。