scala-streams | 易学教程

Spark streaming is not working in Standalone cluster deployed in VM

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问题 I have written Kafka stream program using Scala and executing in Spark standalone cluster. Code works fine in my local. I have done Kafka , Cassandra and Spark setup in Azure VM. I have opened all inbound and outbound ports to avoid port blocking. started Master sbin>./start-master.sh Started Slave sbin# ./start-slave.sh spark://vm-hostname:7077 I have verified this status in Master WEB UI. Submit Job bin#./spark-submit --class x.y.StreamJob --master spark://vm-hostname:7077 /home/user/appl

How to abruptly stop an akka stream Runnable Graph?

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问题 I am not able to figure out how to stop akka stream Runnable Graph immediately ? How to use killswitch to achieve this? It has been just a few days that I started akka streams. In my case I am reading lines from a file and doing some operations in flow and writing to the sink. What I want to do is, stop reading file immediately whenever I want, and I hope this should possibly stop the whole running graph. Any ideas on this would be greatly appreciated. Thanks in advance. 回答1: Since Akka

Spark Kafka Streaming CommitAsync Error [duplicate]

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问题 This question already has an answer here : Exception while accessing KafkaOffset from RDD (1 answer) Closed last year . I am new to Scala and RDD concept. Reading message from kafka using Kafka stream api in Spark and trying to commit after business work. but I am getting error. Note: Using repartition for Parallel work How to read offset from stream APi and commit it to Kafka ? scalaVersion := "2.11.8" val sparkVersion = "2.2.0" val connectorVersion = "2.0.7" val kafka_stream_version = "1.6

How to abruptly stop an akka stream Runnable Graph?

阅读更多关于 How to abruptly stop an akka stream Runnable Graph?

I am not able to figure out how to stop akka stream Runnable Graph immediately ? How to use killswitch to achieve this? It has been just a few days that I started akka streams. In my case I am reading lines from a file and doing some operations in flow and writing to the sink. What I want to do is, stop reading file immediately whenever I want, and I hope this should possibly stop the whole running graph. Any ideas on this would be greatly appreciated. Thanks in advance. Since Akka Streams 2.4.3, there is an elegant way to stop the stream from the outside via KillSwitch . Consider the

Spark Kafka Streaming CommitAsync Error [duplicate]

阅读更多关于 Spark Kafka Streaming CommitAsync Error [duplicate]

This question already has an answer here: Exception while accessing KafkaOffset from RDD 1 answer I am new to Scala and RDD concept. Reading message from kafka using Kafka stream api in Spark and trying to commit after business work. but I am getting error. Note: Using repartition for Parallel work How to read offset from stream APi and commit it to Kafka ? scalaVersion := "2.11.8" val sparkVersion = "2.2.0" val connectorVersion = "2.0.7" val kafka_stream_version = "1.6.3" Code val ssc = new StreamingContext(spark.sparkContext, Seconds(2)) ssc.checkpoint("C:/Gnana/cp") val kafkaStream = { val