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From Terry Hoo <hujie.ea...@gmail.com>
Subject Re: spark2.0 how to use sparksession and StreamingContext same time
Date Tue, 26 Jul 2016 04:03:28 GMT
Kevin,

Try to create the StreamingContext as following:

val ssc = new StreamingContext(spark.sparkContext, Seconds(2))



On Tue, Jul 26, 2016 at 11:25 AM, kevin <kiss.kevin119@gmail.com> wrote:

> 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)
>
>
>

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