从 Docker 容器将 PySpark 连接到 Kafka
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【中文标题】从 Docker 容器将 PySpark 连接到 Kafka【英文标题】：Connect PySpark to Kafka from Docker container 【发布时间】：2021-06-17 21:48:13 【问题描述】：我有一个使用 Docker 管理的 Kafka 集群。
我有一个运行代理的容器和另一个运行 pyspark 程序的容器，该程序应该连接到代理容器内的 kafka 主题。
如果我在本地笔记本电脑上运行 pyspark 脚本，一切都运行良好，但如果我尝试从 pyspark 容器内运行相同的代码，则会收到以下错误：
AnalysisException: Failed to find data source: kafka. Please deploy the application as per the deployment section of "Structured Streaming + Kafka Integration Guide"
有人知道如何从另一个外部容器访问在 docker 容器中运行的 Kafka 主题吗？
这是 PySpark 代码
df = spark \
.readStream \
.format("kafka") \
.option("kafka.bootstrap.servers", "localhost:9092") \
.option("failOnDataLoss", "false") \
.option("subscribe", "tweets") \
.option("startingOffsets", "earliest") \
.load()
这是我的 docker-compose.yml
version: "2"
services:
zookeeper:
image: confluentinc/cp-zookeeper:6.1.0
hostname: zookeeper
container_name: zookeeper
ports:
- "2181:2181"
environment:
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_TICK_TIME: 2000
broker:
image: confluentinc/cp-server:6.1.0
hostname: broker
container_name: broker
depends_on:
- zookeeper
ports:
- "9092:9092"
- "9101:9101"
environment:
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: "zookeeper:2181"
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://broker:29092,PLAINTEXT_HOST://localhost:9092
KAFKA_METRIC_REPORTERS: io.confluent.metrics.reporter.ConfluentMetricsReporter
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
KAFKA_CONFLUENT_LICENSE_TOPIC_REPLICATION_FACTOR: 1
KAFKA_CONFLUENT_BALANCER_TOPIC_REPLICATION_FACTOR: 1
KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
KAFKA_JMX_PORT: 9101
KAFKA_JMX_HOSTNAME: localhost
KAFKA_CONFLUENT_SCHEMA_REGISTRY_URL: http://schema-registry:8081
CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS: broker:29092
CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS: 1
CONFLUENT_METRICS_ENABLE: "true"
CONFLUENT_SUPPORT_CUSTOMER_ID: "anonymous"
schema-registry:
image: confluentinc/cp-schema-registry:6.1.0
hostname: schema-registry
container_name: schema-registry
depends_on:
- broker
ports:
- "8081:8081"
environment:
SCHEMA_REGISTRY_HOST_NAME: schema-registry
SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: "broker:29092"
SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081
connect:
image: cnfldemos/cp-server-connect-datagen:latest
hostname: connect
container_name: connect
build:
context: .
dockerfile: Dockerfile_connect
depends_on:
- broker
- schema-registry
ports:
- "8083:8083"
environment:
CONNECT_BOOTSTRAP_SERVERS: "broker:29092"
CONNECT_REST_ADVERTISED_HOST_NAME: connect
CONNECT_REST_PORT: 8083
CONNECT_GROUP_ID: compose-connect-group
CONNECT_CONFIG_STORAGE_TOPIC: docker-connect-configs
CONNECT_CONFIG_STORAGE_REPLICATION_FACTOR: 1
CONNECT_OFFSET_FLUSH_INTERVAL_MS: 10000
CONNECT_OFFSET_STORAGE_TOPIC: docker-connect-offsets
CONNECT_OFFSET_STORAGE_REPLICATION_FACTOR: 1
CONNECT_STATUS_STORAGE_TOPIC: docker-connect-status
CONNECT_STATUS_STORAGE_REPLICATION_FACTOR: 1
CONNECT_KEY_CONVERTER: org.apache.kafka.connect.storage.StringConverter
CONNECT_VALUE_CONVERTER: io.confluent.connect.avro.AvroConverter
CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL: http://schema-registry:8081
# CLASSPATH required due to CC-2422
CLASSPATH: /usr/share/java/monitoring-interceptors/monitoring-interceptors-6.1.0.jar
CONNECT_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
CONNECT_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
CONNECT_PLUGIN_PATH: "/usr/share/java,/usr/share/confluent-hub-components"
CONNECT_LOG4J_LOGGERS: org.apache.zookeeper=ERROR,org.I0Itec.zkclient=ERROR,org.reflections=ERROR
control-center:
image: confluentinc/cp-enterprise-control-center:6.1.0
hostname: control-center
container_name: control-center
depends_on:
- broker
- schema-registry
- connect
- ksqldb-server
ports:
- "9021:9021"
environment:
CONTROL_CENTER_BOOTSTRAP_SERVERS: "broker:29092"
CONTROL_CENTER_CONNECT_CLUSTER: "connect:8083"
CONTROL_CENTER_KSQL_KSQLDB1_URL: "http://ksqldb-server:8088"
CONTROL_CENTER_KSQL_KSQLDB1_ADVERTISED_URL: "http://localhost:8088"
CONTROL_CENTER_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
CONTROL_CENTER_REPLICATION_FACTOR: 1
CONTROL_CENTER_INTERNAL_TOPICS_PARTITIONS: 1
CONTROL_CENTER_MONITORING_INTERCEPTOR_TOPIC_PARTITIONS: 1
CONFLUENT_METRICS_TOPIC_REPLICATION: 1
PORT: 9021
ksqldb-server:
image: confluentinc/cp-ksqldb-server:6.1.0
hostname: ksqldb-server
container_name: ksqldb-server
depends_on:
- broker
- connect
ports:
- "8088:8088"
environment:
KSQL_CONFIG_DIR: "/etc/ksql"
KSQL_BOOTSTRAP_SERVERS: "broker:29092"
KSQL_HOST_NAME: ksqldb-server
KSQL_LISTENERS: "http://0.0.0.0:8088"
KSQL_CACHE_MAX_BYTES_BUFFERING: 0
KSQL_KSQL_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
KSQL_PRODUCER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor"
KSQL_CONSUMER_INTERCEPTOR_CLASSES: "io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor"
KSQL_KSQL_CONNECT_URL: "http://connect:8083"
KSQL_KSQL_LOGGING_PROCESSING_TOPIC_REPLICATION_FACTOR: 1
KSQL_KSQL_LOGGING_PROCESSING_TOPIC_AUTO_CREATE: "true"
KSQL_KSQL_LOGGING_PROCESSING_STREAM_AUTO_CREATE: "true"
ksqldb-cli:
image: confluentinc/cp-ksqldb-cli:6.1.0
container_name: ksqldb-cli
depends_on:
- broker
- connect
- ksqldb-server
entrypoint: /bin/sh
tty: true
ksql-datagen:
image: confluentinc/ksqldb-examples:6.1.0
hostname: ksql-datagen
container_name: ksql-datagen
depends_on:
- ksqldb-server
- broker
- schema-registry
- connect
command: "bash -c 'echo Waiting for Kafka to be ready... && \
cub kafka-ready -b broker:29092 1 40 && \
echo Waiting for Confluent Schema Registry to be ready... && \
cub sr-ready schema-registry 8081 40 && \
echo Waiting a few seconds for topic creation to finish... && \
sleep 11 && \
tail -f /dev/null'"
environment:
KSQL_CONFIG_DIR: "/etc/ksql"
STREAMS_BOOTSTRAP_SERVERS: broker:29092
STREAMS_SCHEMA_REGISTRY_HOST: schema-registry
STREAMS_SCHEMA_REGISTRY_PORT: 8081
rest-proxy:
image: confluentinc/cp-kafka-rest:6.1.0
depends_on:
- broker
- schema-registry
ports:
- 8082:8082
hostname: rest-proxy
container_name: rest-proxy
environment:
KAFKA_REST_HOST_NAME: rest-proxy
KAFKA_REST_BOOTSTRAP_SERVERS: "broker:29092"
KAFKA_REST_LISTENERS: "http://0.0.0.0:8082"
KAFKA_REST_SCHEMA_REGISTRY_URL: "http://schema-registry:8081"
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.11.2
container_name: elasticsearch
environment:
- xpack.security.enabled=false
- discovery.type=single-node
ulimits:
memlock:
soft: -1
hard: -1
nofile:
soft: 65536
hard: 65536
cap_add:
- IPC_LOCK
volumes:
- elasticsearch-data:/usr/share/elasticsearch/data
ports:
- 9200:9200
- 9300:9300
kibana:
container_name: kibana
image: docker.elastic.co/kibana/kibana:7.11.2
environment:
- ELASTICSEARCH_HOSTS=http://elasticsearch:9200
ports:
- 5601:5601
depends_on:
- elasticsearch
pyspark:
image: jupyter/pyspark-notebook:latest
hostname: pyspark
container_name: pyspark
ports:
- 8888:8888
#volumes:
# - pySpark: pySpark/
depends_on:
- broker
volumes:
elasticsearch-data:
driver: local
pySpark:
driver: local
【问题讨论】：
您是否碰巧在本地 Spark 安装中下载了 Kafka jar？或者更改 Spark 配置以包含所有作业的 Kafka 包？这可以解释为什么它不能在容器中工作 我在本地使用 conda 安装了 Spark，它可以工作，我没有下载任何 Kafka 罐子 【参考方案1】：您的设置存在几个问题：
您没有按照docs 中的说明添加支持Kafka 的包。它要么需要在启动pyspark 时添加，要么在初始化会话时添加，类似这样（将 3.0.1 更改为您的 jupyter 容器中使用的版本）：
SparkSession.builder.appName('my_app')\
.config('spark.jars.packages', 'org.apache.spark:spark-sql-kafka-0-10_2.12:3.0.1')\
.getOrCreate()
"localhost:9092"，但它在容器内不正确，因为装有 Jupyter 的容器有自己的 localhost，它与 Kafka 容器的本地主机不同。您需要改用名称 broker，因为它在 docker-compose.yaml 中声明
【讨论】：
感谢您的回答。对于第一点，我只是想知道为什么如果我需要指定 spark jar，我的程序在我的 docker 容器之外运行良好而不指定它们。 对于第二点，我已经尝试将“localhost”更改为“broker”，但不幸的是它给出了同样的错误 在你修复第一点之前，第二点是行不通的，因为你没有向 Spark 添加必要的包 谢谢，我会先尝试修复，然后通知您！以上是关于从 Docker 容器将 PySpark 连接到 Kafka的主要内容，如果未能解决你的问题，请参考以下文章
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