pyspark.sql.utils.analysisException：未能找到数据源：kafka

Question

/usr/local/kafka/bin/zookeeper-server-start.sh /usr/local/kafka/config/zookeeper.properties 
/usr/local/kafka/bin/kafka-server-start.sh /usr/local/kafka/config/server.properties
/usr/local/kafka/bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 1 --partitions 1 --topic data_wm

import pandas as pd
import os
import findspark
findspark.init("/usr/local/spark")
from pyspark.sql import SparkSession

spark = SparkSession.builder.appName("TestApp").getOrCreate()
df = spark \
  .readStream \
  .format("kafka") \
  .option("kafka.bootstrap.servers", "localhost:9092") \
  .option("subscribe", "data_wm") \
  .load() 
value = df.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)") 

: resolving dependencies :: org.apache.spark#spark-submit-parent-0d7b2a8d-a860-4766-a4c7-141a902d8365;1.0
        confs: [default]
        found org.apache.spark#spark-streaming-kafka-0-10_2.12;3.0.0-preview in central
        found org.apache.spark#spark-token-provider-kafka-0-10_2.12;3.0.0-preview in central
        found org.apache.kafka#kafka-clients;2.3.1 in central
        found com.github.luben#zstd-jni;1.4.3-1 in central
        found org.lz4#lz4-java;1.6.0 in central
        found org.xerial.snappy#snappy-java;1.1.7.3 in central
        found org.slf4j#slf4j-api;1.7.16 in central
        found org.spark-project.spark#unused;1.0.0 in central :: resolution report :: resolve 380ms :: artifacts dl 7ms
        :: modules in use:
        com.github.luben#zstd-jni;1.4.3-1 from central in [default]
        org.apache.kafka#kafka-clients;2.3.1 from central in [default]
        org.apache.spark#spark-streaming-kafka-0-10_2.12;3.0.0-preview from central in [default]
        org.apache.spark#spark-token-provider-kafka-0-10_2.12;3.0.0-preview from central in [default]
        org.lz4#lz4-java;1.6.0 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;1.1.7.3 from central in [default]

d>f=spark\....readstream\....format（“Kafka”）\...

.选项（“kafka.bootstrap.servers”,“localhost:9092”）\...
.选项（“subscribe”,“data_wm”）\....load（）跟踪（最近的调用）：文件“，第5行，在文件”/usr/local/spark/python/pyspark/sql/streaming.py“中，第406行，在load return self._df(self._jreader.load())文件”deco raise中的第102行，转换为pyspark.sql.utils.analysisException：未能找到数据源：Kafka。请按照“结构化流+Kafka集成指南”的部署部分部署应用程序。；

我不知道这个错误的原因，请帮助

Answer 1

我已经在Spark 3.0.1（使用PySpark）上成功解决了这个错误。

我将保持简单，并通过--packages参数提供所需的包：

spark-submit --packages org.apache.spark:spark-sql-kafka-0-10_2.12:3.0.1 MyPythonScript.py

注意参数的顺序，否则会引发错误。

KAFKA_TOPIC = "data_wm"
KAFKA_SERVER = "localhost:9092"

# creating an instance of SparkSession
spark_session = SparkSession \
    .builder \
    .appName("Python Spark create RDD") \
    .getOrCreate()

# Subscribe to 1 topic
df = spark_session \
    .readStream \
    .format("kafka") \
    .option("kafka.bootstrap.servers", KAFKA_SERVER) \
    .option("subscribe", KAFKA_TOPIC) \
    .load()
print(df.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)"))