Spark Structural Streaming 与 Confluent Cloud Kafka 连接问题

Question

我正在 PySpark 中编写一个 Spark 结构化流应用程序以从 Confluent Cloud 中的 Kafka 读取数据。 spark readstream() 函数的文档太浅，并且没有在可选参数部分特别是在 auth 机制部分指定太多。我不确定哪个参数出错并导致连接崩溃。任何有 Spark 经验的人都可以帮助我开始这种联系吗？

必需参数

> Consumer({'bootstrap.servers':
> 'cluster.gcp.confluent.cloud:9092',
>               'sasl.username':'xxx',
>               'sasl.password':  'xxx',
>               'sasl.mechanisms': 'PLAIN',
>               'security.protocol': 'SASL_SSL',
>     'group.id': 'python_example_group_1',
>     'auto.offset.reset': 'earliest' })

这是我的 pyspark 代码：

df = spark \
  .readStream \
  .format("kafka") \
  .option("kafka.bootstrap.servers", "cluster.gcp.confluent.cloud:9092") \
  .option("subscribe", "test-topic") \
  .option("kafka.sasl.mechanisms", "PLAIN")\
  .option("kafka.security.protocol", "SASL_SSL")\
  .option("kafka.sasl.username","xxx")\
  .option("kafka.sasl.password", "xxx")\
  .option("startingOffsets", "latest")\
  .option("kafka.group.id", "python_example_group_1")\
  .load()
display(df)

但是，我一直收到错误消息：

kafkashaded.org.apache.kafka.common.KafkaException: Failed to construct kafka consumer

DataBrick Notebook- 用于测试

https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/4673082066872014/3543014086288496/1802788104169533/latest.html

文档

https://home.apache.org/~pwendell/spark-nightly/spark-branch-2.0-docs/latest/structured-streaming-kafka-integration.html

Answer 1

此错误表明 JAAS 配置对您的 Kafka 消费者不可见。要解决此问题，请根据以下步骤包含 JASS：

Step01：为以下 JAAS 文件创建一个文件：/home/jass/path

KafkaClient {
     com.sun.security.auth.module.Krb5LoginModule required
     useTicketCache=true
     renewTicket=true
     serviceName="kafka";
     };

Step02：根据下面的conf参数在spark-submit中调用那个JASS文件路径。

--conf "spark.executor.extraJavaOptions=-Djava.security.auth.login.config=/home/jass/path"

完整的 spark 提交命令：

/usr/hdp/2.6.1.0-129/spark2/bin/spark-submit --packages com.databricks:spark-avro_2.11:3.2.0,org.apache.spark:spark-avro_2.11:2.4.0,org.apache.spark:spark-sql-kafka-0-10_2.11:2.2.0 --conf spark.ui.port=4055 --files /home/jass/path,/home/bdpda/bdpda.headless.keytab --conf "spark.executor.extraJavaOptions=-Djava.security.auth.login.config=/home/jass/path" --conf "spark.driver.extraJavaOptions=-Djava.security.auth.login.config=/home/jass/path" pysparkstructurestreaming.py

Pyspark 结构化流示例代码：

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()

Answer 2

我们需要指定kafka.sasl.jaas.config为Confluent Kafka SASL-SSL auth方法添加用户名和密码。它的参数看起来有点奇怪，但它是有效的。

df = spark \
      .readStream \
      .format("kafka") \
      .option("kafka.bootstrap.servers", "pkc-43n10.us-central1.gcp.confluent.cloud:9092") \
      .option("subscribe", "wallet_txn_log") \
      .option("startingOffsets", "earliest") \
      .option("kafka.security.protocol","SASL_SSL") \
      .option("kafka.sasl.mechanism", "PLAIN") \
      .option("kafka.sasl.jaas.config", """kafkashaded.org.apache.kafka.common.security.plain.PlainLoginModule required username="xxx" password="xxx";""").load()
display(df)

Spark Structural Streaming 与 Confluent Cloud Kafka 连接问题

Spark Structural Streaming with Confluent Cloud Kafka connectivity issue

apache-kafka

apache-spark

spark-streaming

pyspark