Spark Streaming 不读取 Kafka 主题

Question

我已经在 Ubuntu 上设置了 Kafka 和 Spark。我正在尝试使用 pyspark（Jupyter 笔记本）通过 Spark Streaming 阅读 kafka 主题。 Spark 既没有读取数据也没有抛出任何错误。

Kafka 生产者和消费者在终端上相互通信。 Kafka 在端口 9092,9093,9094 上配置了 3 个分区。消息存储在 kafka 主题中。现在，我想通过 Spark Streaming 来阅读它。我不确定我错过了什么。即使我已经在互联网上探索过它，但找不到任何可行的解决方案。请帮助我理解遗漏的部分。

主题名称：new_topic
Spark - 2.3.2
卡夫卡 - 2.11-2.1.0
Python 3
Java- 1.8.0_201
动物园管理员端口：2181

卡夫卡生产者： bin/kafka-console-producer.sh --broker-list localhost:9092 --topic new_topic

卡夫卡消费者： bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic new_topic --from-beginning

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()

在 Jypyter notebook 中显示的输出：

-------------------------------------------
Time: 2019-01-30 00:52:18
-------------------------------------------

-------------------------------------------
Time: 2019-01-30 00:52:20
-------------------------------------------

Spark 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

spark-submit 在终端上的输出如下：

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$.doRunMain(SparkSubmit.scala:198)
    at org.apache.spark.deploy.SparkSubmit$.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

Answer 1

现已解决。我必须设置 PYTHONPATH 并将其导出到 .bashrc 文件的路径中。

PYTHONPATH=/usr/bin/python3
export PATH=$PATH:$PYTHONPATH/bin

随着createstream下的main函数中zookeeper的端口改成了2181，误给9092

Spark Streaming 不读取 Kafka 主题

Spark Streaming not reading from Kafka topics

apache-kafka

apache-spark

spark-streaming

pyspark

jupyter-notebook