hi,all:
I want to read data from kafka and regist as a table then join a jdbc table.
My sample like this :
val spark = SparkSession
.builder
.config(sparkConf)
.getOrCreate()
val jdbcDF = spark.read.format("jdbc").options(Map("url" ->
"jdbc:mysql://master1:3306/demo", "driver" -> "com.mysql.jdbc.Driver",
"dbtable" -> "i_user", "user" -> "root", "password" -> "passok")).load()
jdbcDF.cache().createOrReplaceTempView("black_book")
val df = spark.sql("select * from black_book")
df.show()
val ssc = new StreamingContext(sparkConf, Seconds(2))
ssc.checkpoint("checkpoint")
val topicMap = topics.split(",").map((_, numThreads.toInt)).toMap
val lines = KafkaUtils.createStream(ssc, zkQuorum, group,
topicMap).map(_._2)
val words = lines.flatMap(_.split(" "))
*I got error :*
16/07/26 11:18:07 WARN AbstractHandler: No Server set for
org.spark_project.jetty.server.handler.ErrorHandler@6f0ca692
+--------------------+--------+--------+
| id|username|password|
+--------------------+--------+--------+
|e6faca36-8766-4dc...| a| a|
|699285a3-a108-457...| admin| 123|
|e734752d-ac98-483...| test| test|
|c0245226-128d-487...| test2| test2|
|4f1bbdb2-89d1-4cc...| 119| 911|
|16a9a360-13ee-4b5...| 1215| 1215|
|bf7d6a0d-2949-4c3...| demo3| demo3|
|de30747c-c466-404...| why| why|
|644741c9-8fd7-4a5...| scala| p|
|cda1e44d-af4b-461...| 123| 231|
|6e409ed9-c09b-4e7...| 798| 23|
+--------------------+--------+--------+
Exception in thread "main" org.apache.spark.SparkException: Only one
SparkContext may be running in this JVM (see SPARK-2243). To ignore this
error, set spark.driver.allowMultipleContexts = true. The currently running
SparkContext was created at:
org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:749)
main.POC$.main(POC.scala:43)
main.POC.main(POC.scala)
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
java.lang.reflect.Method.invoke(Method.java:498)
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:724)
org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
at
org.apache.spark.SparkContext$$anonfun$assertNoOtherContextIsRunning$2.apply(SparkContext.scala:2211)
at
org.apache.spark.SparkContext$$anonfun$assertNoOtherContextIsRunning$2.apply(SparkContext.scala:2207)
at scala.Option.foreach(Option.scala:257)
at
org.apache.spark.SparkContext$.assertNoOtherContextIsRunning(SparkContext.scala:2207)
at
org.apache.spark.SparkContext$.markPartiallyConstructed(SparkContext.scala:2277)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:91)
at
org.apache.spark.streaming.StreamingContext$.createNewSparkContext(StreamingContext.scala:837)
at
org.apache.spark.streaming.StreamingContext.<init>(StreamingContext.scala:84)
at main.POC$.main(POC.scala:50)
at main.POC.main(POC.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:724)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
