官网介绍 http://spark.apache.org/docs/2.3.0/streaming-kafka-0-10-integration.html#creating-a-direct-stream 案例pom.xml依赖 <dependency> <groupId>o
自动提交的时间间隔"enable.auto.commit"->(false:java.lang.Boolean)//是否自动提交偏移量)val topics=Array("spark_kafka")//要消费哪个主题//3.使用spark-streaming-kafka-0-10中的Direct模式连接Kafka// ssc: StreamingContext,// locationStrategy: LocationStrategy,位置策略,直接使用源码推荐的优先一致性策略...
packageSpartStreamingaiqiyiimportorg.apache.spark._importorg.apache.spark.streaming._importorg.apache.kafka.clients.consumer.ConsumerRecordimportorg.apache.kafka.common.serialization.StringDeserializerimportorg.apache.spark.sql.SparkSessionimportorg.apache.spark.streaming.kafka010._importorg.apache.spark.streaming...
importorg.apache.spark.sql.Dataset;importorg.apache.spark.sql.Row;Dataset<Row>users=spark.read().format("csv").option("header","true").load("input/users.csv");users.write().format("kafka").option("kafka.bootstrap.servers","localhost:9092").option("topic","users_topic").save(); 1. ...
import org.apache.spark.sql.{DataFrame, SparkSession} import org.json.JSONObject import java.util.Properties object KafkaProducer { case class UserBehavior(User_ID: String, Item_ID: String, Category_ID: String, Behavior: String,Timestamp: String,Date: String) ...
--spark读取kafka的connector--> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql-kafka-0-10_2.12</artifactId> <version>3.2.0</version> </dependency> <!--通过json转换--> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.7...
sql_${scala.version}</artifactId><version>${spark.version}</version></dependency><dependency><groupId>org.scala-lang</groupId><artifactId>scala-library</artifactId><version>2.11.11</version></dependency><dependency><groupId>org.apache.spark</groupId><artifactId>spark-streaming-kafka-0-10_...
这篇博客将会记录Structured Streaming +Kafka的一些基本使用(Java版) spark 2.3.0 1. 概述 Structured Streaming (结构化流)是一种基于SparkSQL 引擎构建的可扩展且容错的 stream processing engine (流处理引擎)。可以使用Dataset/DataFrameAPI来表示 streaming aggregations (流聚合), event-time windows (事件时间窗...
請確定除了 spark-sql-kafka-0-10 以外,所有 Spark 相依性都已提供範圍。 因行事曆模式變更而造成 SparkUpgradeException Spark 3.0 行事曆模型已變更。 在 Spark SQL 中撰寫行事曆資料行時,您可能會看到如下的例外狀況: txt Caused by: org.apache.spark.SparkUpgradeException: You may get a different resul...
编译打包过程中,需要打包Spark-Kafka的相关依赖,如下所示: <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql-kafka-0-10_2.11</artifactId> <version>2.4.5</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-kafka-0-10_...