我发现有两种方法可以在Spark Streaming(Spark 2.0)中使用Kafka主题:
1)每隔k秒使用KafkaUtils.createDirectStream
获取DStream,请参阅this document
2)使用kafka: sqlContext.read.format(“json”).stream(“kafka://KAFKA_HOST”)
为Spark 2.0的新功能创建无限的DataFrame:Structured Streaming,相关文档is here
方法1)有效,但2)没有,我得到以下错误
Exception in thread "main" java.lang.NoSuchMethodError: org.apache.spark.sql.DataFrameReader.stream(Ljava/lang/String;)Lorg/apache/spark/sql/Dataset;
...
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
我的问题是:
“kafka://KAFKA_HOST”
指的是什么?
我该如何解决这个问题?
提前谢谢!
答案 0 :(得分:3)
Spark 2.0尚不支持Kafka作为无限DataFrames / Sets的来源。计划在2.1
中添加支持Kafka 0.10现在是expiramentaly supported in Spark 2.0.2:
val ds1 = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "host1:port1,host2:port2")
.option("subscribe", "topic1")
.load()
ds1
.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)")
.as[(String, String)]