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Posted to user@spark.apache.org by Kiran Biswal <bi...@gmail.com> on 2021/06/06 19:57:51 UTC
class KafkaCluster related errors
*I am using spark 3.0.1 AND Kafka 0.10 AND Scala 2.12. Getting an error
related to KafkaCluster (not found: type KafkaCluster). Is this class
deprecated? How do I find a replacement?*
*I am upgrading from spark 2.0.1 to spark 3.0.1*
*In spark 2.0.1 KafkaCluster was supported*
https://spark.apache.org/docs/2.0.1/api/java/org/apache/spark/streaming/kafka/KafkaCluster.html
just looking for ideas how to achieve same functionality in spark 3.0.1.
Any thoughts and examples will be highly appreciated.
Thanks
Kiran
Re: class KafkaCluster related errors
Posted by Mich Talebzadeh <mi...@gmail.com>.
This is interesting because I am using PySpark but I need these jar files
for Spark 3.1.1 and Kafka 2.7.0 to work
kafka-clients-2.7.0.jar
commons-pool2-2.9.0.jar
spark-streaming_2.12-3.1.1.jar
spark-sql-kafka-0-10_2.12-3.1.0.jar
Do you have equivalent of these artifacts in your POM file?
HTH
view my Linkedin profile
<https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.
On Thu, 17 Jun 2021 at 17:30, Kiran Biswal <bi...@gmail.com> wrote:
> Hello Mich
>
> i added kafka-client back, I am back to seeing the earlier error about
> streaming-start.
>
> + <dependency>
>
> + <groupId>org.apache.kafka</groupId>
>
> + <artifactId>kafka-clients</artifactId>
>
> + <version>0.10.0.0</version>
>
> + </dependency>
>
> Anything you can think of
>
> Exception in thread "streaming-start" java.lang.NoClassDefFoundError:
> org/apache/kafka/common/security/JaasContext
>
> at
> org.apache.spark.kafka010.KafkaTokenUtil$.isGlobalJaasConfigurationProvided(KafkaTokenUtil.scala:155)
>
> at
> org.apache.spark.kafka010.KafkaConfigUpdater.setAuthenticationConfigIfNeeded(KafkaConfigUpdater.scala:72)
>
> at
> org.apache.spark.kafka010.KafkaConfigUpdater.setAuthenticationConfigIfNeeded(KafkaConfigUpdater.scala:62)
>
> at
> org.apache.spark.streaming.kafka010.ConsumerStrategy.setAuthenticationConfigIfNeeded(ConsumerStrategy.scala:64)
>
> at
> org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:91)
>
> at
> org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:73)
>
> at
> org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:258)
>
> at
> org.apache.spark.streaming.DStreamGraph.$anonfun$start$7(DStreamGraph.scala:55)
>
> at
> org.apache.spark.streaming.DStreamGraph.$anonfun$start$7$adapted(DStreamGraph.scala:55)
>
> at scala.collection.Iterator.foreach(Iterator.scala:941)
>
> at scala.collection.Iterator.foreach$(Iterator.scala:941)
>
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
>
> at
> scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:974)
>
> at scala.collection.parallel.Task.$anonfun$tryLeaf$1(Tasks.scala:53)
>
> at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
>
> at scala.util.control.Breaks$$anon$1.catchBreak(Breaks.scala:67)
>
> at scala.collection.parallel.Task.tryLeaf(Tasks.scala:56)
>
> at scala.collection.parallel.Task.tryLeaf$(Tasks.scala:50)
>
> at
> scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:971)
>
> at
> scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute(Tasks.scala:153)
>
> at
> scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute$(Tasks.scala:149)
>
> at
> scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:440)
>
> at java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:189)
>
> at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
>
> at
> java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
>
> at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)
>
> at
> java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:175)
>
> Caused by: java.lang.ClassNotFoundException:
> org.apache.kafka.common.security.JaasContext
>
> at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
>
> at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
>
> at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
>
> ... 27 more
>
> Regards
> Kiran
>
> On Thu, Jun 17, 2021 at 7:30 AM Mich Talebzadeh <mi...@gmail.com>
> wrote:
>
>> Hi Kiran,
>>
>> You need kafka-clients for the version of kafka you are using. So if it
>> is the correct version keep it.
>>
>> Try running and see what the error says.
>>
>> HTH
>>
>>
>>
>> view my Linkedin profile
>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>>
>> On Thu, 17 Jun 2021 at 15:10, Kiran Biswal <bi...@gmail.com> wrote:
>>
>>> Hello Mich
>>>
>>> Thanks for the pointer. I believe they helped. I remove kafka-streams
>>> and kafka-client. Is kafka-client needed?
>>>
>>> The streaming application runs in kubernetes environment. I see that the
>>> driver starts but subsequently the executors start but they crash and start
>>> in a repeat loop. i have attached some logs from the spark driver pod (see
>>> spark_driver_pod.txt)
>>>
>>> Any thoughts on what's causing the crash? Do these warnings look serious?
>>>
>>> Thanks
>>> Kiran
>>>
>>> On Sun, Jun 13, 2021 at 12:48 AM Mich Talebzadeh <
>>> mich.talebzadeh@gmail.com> wrote:
>>>
>>>> Hi Kiran
>>>>
>>>> Looking at your pom file Isee below
>>>>
>>>> <dependency>
>>>> <groupId>org.apache.kafka</groupId>
>>>> <artifactId>kafka-streams</artifactId>
>>>> <version>0.10.0.0</version>
>>>>
>>>> </dependency>
>>>>
>>>>
>>>> Why do you need kafka-streams? I don't think spark uses it and may get
>>>> libraries confused.
>>>>
>>>> HTH
>>>>
>>>>
>>>>
>>>>
>>>> view my Linkedin profile
>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>
>>>>
>>>>
>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>>> any loss, damage or destruction of data or any other property which may
>>>> arise from relying on this email's technical content is explicitly
>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>> arising from such loss, damage or destruction.
>>>>
>>>>
>>>>
>>>>
>>>> On Sun, 13 Jun 2021 at 05:17, Kiran Biswal <bi...@gmail.com>
>>>> wrote:
>>>>
>>>>> Hello Mich
>>>>>
>>>>> Thanks a lot for all your help. As per this document spark 3.0.1 and
>>>>> kafka 0.10 is a supported combination that's what i have
>>>>>
>>>>>
>>>>> https://spark.apache.org/docs/3.0.1/streaming-kafka-0-10-integration.html
>>>>>
>>>>> I have attached the pom.xml file (I use maven environment). Would you
>>>>> kindly take a look to see if something needs to change in terms of
>>>>> versioning or anything additional I need to include to get streaming
>>>>> working?
>>>>>
>>>>> Look forward to your response
>>>>>
>>>>> Regards
>>>>> Kiran
>>>>>
>>>>> On Fri, Jun 11, 2021 at 1:09 AM Mich Talebzadeh <
>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>
>>>>>> Hi Kiran. I was using
>>>>>>
>>>>>> - Kafka Cluster 2.12-1.1.0
>>>>>> - Spark Streaming 2.3, Spark SQL 2.3
>>>>>> - Scala 2.11.8
>>>>>>
>>>>>> Your Kafka version 0.10 seems to be pretty old. That may be the issue
>>>>>> here. Try upgrading Kafka in a test environment to see if it helps.
>>>>>>
>>>>>>
>>>>>> HTH
>>>>>>
>>>>>>
>>>>>> view my Linkedin profile
>>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>>>
>>>>>>
>>>>>>
>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>> for any loss, damage or destruction of data or any other property which may
>>>>>> arise from relying on this email's technical content is explicitly
>>>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>>>> arising from such loss, damage or destruction.
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Fri, 11 Jun 2021 at 08:55, Kiran Biswal <bi...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Hello Mich
>>>>>>>
>>>>>>> When you were using dstream, what version of kafka, spark and scala
>>>>>>> were you using?
>>>>>>>
>>>>>>> I am using kafka 0.10 with spark 3.0.1 and scala 2.12. Do you feel
>>>>>>> this combination can reliably work from streaming point of view.?
>>>>>>>
>>>>>>> I get below error when invoke createDirectStreamException. Any
>>>>>>> suggestions on how to move forard here?
>>>>>>>
>>>>>>> Thanks a kit for ak help.
>>>>>>> Thanks
>>>>>>> kiran
>>>>>>>
>>>>>>> in thread "streaming-start" java.lang.NoClassDefFoundError:
>>>>>>> org/apache/kafka/common/security/JaasContext
>>>>>>>
>>>>>>> at org.apache.spark.kafka010.KafkaTokenUtil$.isGlobalJaasConfigurationProvided(KafkaTokenUtil.scala:155)
>>>>>>> at org.apache.spark.kafka010.KafkaConfigUpdater.setAuthenticationConfigIfNeeded(KafkaConfigUpdater.scala:72)
>>>>>>> at org.apache.spark.kafka010.KafkaConfigUpdater.setAuthenticationConfigIfNeeded(KafkaConfigUpdater.scala:62)
>>>>>>> at org.apache.spark.streaming.kafka010.ConsumerStrategy.setAuthenticationConfigIfNeeded(ConsumerStrategy.scala:64)
>>>>>>> at org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:91)
>>>>>>> at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:73)
>>>>>>> at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:258)
>>>>>>> at org.apache.spark.streaming.DStreamGraph.$anonfun$start$7(DStreamGraph.scala:55)
>>>>>>> at org.apache.spark.streaming.DStreamGraph.$anonfun$start$7$adapted(DStreamGraph.scala:55)
>>>>>>> at scala.collection.Iterator.foreach(Iterator.scala:941)
>>>>>>> at scala.collection.Iterator.foreach$(Iterator.scala:941)
>>>>>>> at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
>>>>>>> at scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:974)
>>>>>>> at scala.collection.parallel.Task.$anonfun$tryLeaf$1(Tasks.scala:53)
>>>>>>> at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
>>>>>>> at scala.util.control.Breaks$$anon$1.catchBreak(Breaks.scala:67)
>>>>>>> at scala.collection.parallel.Task.tryLeaf(Tasks.scala:56)
>>>>>>> at scala.collection.parallel.Task.tryLeaf$(Tasks.scala:50)
>>>>>>> at scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:971)
>>>>>>> at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute(Tasks.scala:153)
>>>>>>> at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute$(Tasks.scala:149)
>>>>>>> at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:440)
>>>>>>> at java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:189)
>>>>>>> at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
>>>>>>> at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
>>>>>>> at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)
>>>>>>> at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:175)
>>>>>>> Caused by: java.lang.ClassNotFoundException: org.apache.kafka.common.security.JaasContext
>>>>>>> at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
>>>>>>> at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
>>>>>>> at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
>>>>>>> ... 27 more
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Tue, Jun 8, 2021 at 7:26 AM Mich Talebzadeh <
>>>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>>>
>>>>>>>> Hi Kiran,
>>>>>>>>
>>>>>>>> I don't seem to have a reference to handling offsets in my old code.
>>>>>>>>
>>>>>>>> However, in Spark structured streaming (SSS) I handle it using a
>>>>>>>> reference to checkpointLocation as below: (this is in Python)
>>>>>>>>
>>>>>>>> checkpoint_path = "file:///ssd/hduser/avgtemperature/chkpt"
>>>>>>>>
>>>>>>>> result = resultMF.withColumn("uuid",uuidUdf()) \
>>>>>>>> .selectExpr("CAST(uuid AS STRING) AS key",
>>>>>>>> "to_json(struct(startOfWindow, endOfWindow, AVGTemperature)) AS value") \
>>>>>>>> .writeStream \
>>>>>>>> .outputMode('complete') \
>>>>>>>> .format("kafka") \
>>>>>>>> .option("kafka.bootstrap.servers",
>>>>>>>> config['MDVariables']['bootstrapServers'],) \
>>>>>>>> .option("topic", "avgtemperature") \
>>>>>>>> * .option('checkpointLocation',
>>>>>>>> checkpoint_path) \*
>>>>>>>> .queryName("avgtemperature") \
>>>>>>>> .start()
>>>>>>>>
>>>>>>>> Now within that checkpoint_path directory you have five
>>>>>>>> sub-directories containing all you need including offsets
>>>>>>>>
>>>>>>>> /ssd/hduser/avgtemperature/chkpt> ls
>>>>>>>> commits metadata offsets sources state
>>>>>>>>
>>>>>>>> HTH
>>>>>>>>
>>>>>>>>
>>>>>>>> view my Linkedin profile
>>>>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>>>> for any loss, damage or destruction of data or any other property which may
>>>>>>>> arise from relying on this email's technical content is explicitly
>>>>>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>>>>>> arising from such loss, damage or destruction.
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> On Tue, 8 Jun 2021 at 01:21, Kiran Biswal <bi...@gmail.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> Hello Mich
>>>>>>>>>
>>>>>>>>> Thanks a lot. Using code similar to yours I was able to compile.
>>>>>>>>>
>>>>>>>>> One outstanding question is in my older code the
>>>>>>>>> *getConsumerOffsets *older method was handling offsets(
>>>>>>>>> latestLeaderOffsets, earliestLeaderOffsets etc, was calling
>>>>>>>>> kafkaCluster).
>>>>>>>>>
>>>>>>>>> Will there be data loss if I don't handle offsets? In your
>>>>>>>>> example handling offsets was not required? If I were to handle offsets any
>>>>>>>>> examples you could share?
>>>>>>>>>
>>>>>>>>> Thanks a lot again and appreciate the great help.
>>>>>>>>> Regards
>>>>>>>>> Kiran
>>>>>>>>>
>>>>>>>>> On Mon, Jun 7, 2021 at 2:58 AM Mich Talebzadeh <
>>>>>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>>>>>
>>>>>>>>>> Hi Kiran,
>>>>>>>>>>
>>>>>>>>>> As you be aware createDirectStream is depreciated and you ought
>>>>>>>>>> to use Spark Structured streaming, especially that you are moving to
>>>>>>>>>> version 3.0.1.
>>>>>>>>>>
>>>>>>>>>> If you still want to use dstream then that page seems to be
>>>>>>>>>> correct
>>>>>>>>>>
>>>>>>>>>> Looking at my old code I have
>>>>>>>>>>
>>>>>>>>>> import org.apache.spark.streaming._
>>>>>>>>>> import org.apache.spark.streaming.kafka._
>>>>>>>>>> import org.apache.spark.streaming.kafka.KafkaUtils
>>>>>>>>>>
>>>>>>>>>> val kafkaParams = Map[String, String](
>>>>>>>>>> "bootstrap.servers" ->
>>>>>>>>>> bootstrapServers,
>>>>>>>>>> "schema.registry.url" ->
>>>>>>>>>> schemaRegistryURL,
>>>>>>>>>> "zookeeper.connect" ->
>>>>>>>>>> zookeeperConnect,
>>>>>>>>>> "group.id" ->
>>>>>>>>>> sparkAppName,
>>>>>>>>>> "
>>>>>>>>>> zookeeper.connection.timeout.ms" -> zookeeperConnectionTimeoutMs,
>>>>>>>>>> "rebalance.backoff.ms" ->
>>>>>>>>>> rebalanceBackoffMS,
>>>>>>>>>> "
>>>>>>>>>> zookeeper.session.timeout.ms" -> zookeeperSessionTimeOutMs,
>>>>>>>>>> "auto.commit.interval.ms"
>>>>>>>>>> -> autoCommitIntervalMS
>>>>>>>>>> )
>>>>>>>>>> //val topicsSet = topics.split(",").toSet
>>>>>>>>>> val topicsValue = Set(topics)
>>>>>>>>>> val dstream = KafkaUtils.createDirectStream[String, String,
>>>>>>>>>> StringDecoder, StringDecoder](streamingContext, kafkaParams, topicsValue)
>>>>>>>>>> dstream.cache()
>>>>>>>>>>
>>>>>>>>>> HTH,
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> Mich
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> view my Linkedin profile
>>>>>>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> *Disclaimer:* Use it at your own risk. Any and all
>>>>>>>>>> responsibility for any loss, damage or destruction of data or any other
>>>>>>>>>> property which may arise from relying on this email's technical content is
>>>>>>>>>> explicitly disclaimed. The author will in no case be liable for any
>>>>>>>>>> monetary damages arising from such loss, damage or destruction.
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> On Mon, 7 Jun 2021 at 10:34, Kiran Biswal <bi...@gmail.com>
>>>>>>>>>> wrote:
>>>>>>>>>>
>>>>>>>>>>> Hi Mich, Thanks a lot for your response. I am basically trying
>>>>>>>>>>> to get some older code(streaming job to read from kafka) in 2.0.1 spark to
>>>>>>>>>>> work in 3.0,1. The specific area where I am having problem (KafkaCluster)
>>>>>>>>>>> has most likely to do with get/ set commit offsets in kafka
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> // Create message Dstream for each (topic, schema class)
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> val msgStreams = config.getTopicSchemaClassMap.map {
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> case (kafkaTopic, schemaClass) => {
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> val consumerOffsets = *getConsumerOffsets*(kafkaTopic)
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> val msgDStream = (KafkaUtils.createDirectStream
>>>>>>>>>>> [Array[Byte], Array[Byte], DefaultDecoder, DefaultDecoder,
>>>>>>>>>>>
>>>>>>>>>>> Tuple2[Array[Byte],Array[Byte]]]
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> (ssc, kafkaParams, consumerOffsets,
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> (msg: MessageAndMetadata[Array[Byte], Array[Byte]]) =>
>>>>>>>>>>> (msg.key, msg.message)
>>>>>>>>>>>
>>>>>>>>>>> ))
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> (kafkaTopic, schemaClass, msgDStream)
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> }
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> }
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> *The getConsumerOffsets *method internally used KafkaCluter
>>>>>>>>>>> which is probably deprecated.
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> Do You think I need to mimic the code shown here to get/set
>>>>>>>>>>> offsets rather than use kafkaCluster?
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> https://spark.apache.org/docs/3.0.0-preview/streaming-kafka-0-10-integration.html
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> Thanks
>>>>>>>>>>>
>>>>>>>>>>> Kiran
>>>>>>>>>>>
>>>>>>>>>>> On Mon, Jun 7, 2021 at 1:04 AM Mich Talebzadeh <
>>>>>>>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> Hi,
>>>>>>>>>>>>
>>>>>>>>>>>> Are you trying to read topics from Kafka in spark 3.0.1?
>>>>>>>>>>>>
>>>>>>>>>>>> Have you checked Spark 3.0.1 documentation?
>>>>>>>>>>>>
>>>>>>>>>>>> Integrating Spark with Kafka is pretty straight forward. with
>>>>>>>>>>>> 3.0.1 and higher
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> HTH
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> view my Linkedin profile
>>>>>>>>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> *Disclaimer:* Use it at your own risk. Any and all
>>>>>>>>>>>> responsibility for any loss, damage or destruction of data or any other
>>>>>>>>>>>> property which may arise from relying on this email's technical content is
>>>>>>>>>>>> explicitly disclaimed. The author will in no case be liable for any
>>>>>>>>>>>> monetary damages arising from such loss, damage or destruction.
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> On Sun, 6 Jun 2021 at 21:18, Kiran Biswal <
>>>>>>>>>>>> biswalkiran@gmail.com> wrote:
>>>>>>>>>>>>
>>>>>>>>>>>>> *I am using spark 3.0.1 AND Kafka 0.10 AND Scala 2.12. Getting
>>>>>>>>>>>>> an error related to KafkaCluster (not found: type KafkaCluster). Is this
>>>>>>>>>>>>> class deprecated? How do I find a replacement?*
>>>>>>>>>>>>>
>>>>>>>>>>>>> *I am upgrading from spark 2.0.1 to spark 3.0.1*
>>>>>>>>>>>>>
>>>>>>>>>>>>> *In spark 2.0.1 KafkaCluster was supported*
>>>>>>>>>>>>>
>>>>>>>>>>>>> https://spark.apache.org/docs/2.0.1/api/java/org/apache/spark/streaming/kafka/KafkaCluster.html
>>>>>>>>>>>>>
>>>>>>>>>>>>> just looking for ideas how to achieve same functionality in
>>>>>>>>>>>>> spark 3.0.1. Any thoughts and examples will be highly appreciated.
>>>>>>>>>>>>>
>>>>>>>>>>>>> Thanks
>>>>>>>>>>>>> Kiran
>>>>>>>>>>>>>
>>>>>>>>>>>>
Re: class KafkaCluster related errors
Posted by Mich Talebzadeh <mi...@gmail.com>.
Hi Kiran,
You need kafka-clients for the version of kafka you are using. So if it is
the correct version keep it.
Try running and see what the error says.
HTH
view my Linkedin profile
<https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.
On Thu, 17 Jun 2021 at 15:10, Kiran Biswal <bi...@gmail.com> wrote:
> Hello Mich
>
> Thanks for the pointer. I believe they helped. I remove kafka-streams and
> kafka-client. Is kafka-client needed?
>
> The streaming application runs in kubernetes environment. I see that the
> driver starts but subsequently the executors start but they crash and start
> in a repeat loop. i have attached some logs from the spark driver pod (see
> spark_driver_pod.txt)
>
> Any thoughts on what's causing the crash? Do these warnings look serious?
>
> Thanks
> Kiran
>
> On Sun, Jun 13, 2021 at 12:48 AM Mich Talebzadeh <
> mich.talebzadeh@gmail.com> wrote:
>
>> Hi Kiran
>>
>> Looking at your pom file Isee below
>>
>> <dependency>
>> <groupId>org.apache.kafka</groupId>
>> <artifactId>kafka-streams</artifactId>
>> <version>0.10.0.0</version>
>>
>> </dependency>
>>
>>
>> Why do you need kafka-streams? I don't think spark uses it and may get
>> libraries confused.
>>
>> HTH
>>
>>
>>
>>
>> view my Linkedin profile
>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>>
>> On Sun, 13 Jun 2021 at 05:17, Kiran Biswal <bi...@gmail.com> wrote:
>>
>>> Hello Mich
>>>
>>> Thanks a lot for all your help. As per this document spark 3.0.1 and
>>> kafka 0.10 is a supported combination that's what i have
>>>
>>> https://spark.apache.org/docs/3.0.1/streaming-kafka-0-10-integration.html
>>>
>>> I have attached the pom.xml file (I use maven environment). Would you
>>> kindly take a look to see if something needs to change in terms of
>>> versioning or anything additional I need to include to get streaming
>>> working?
>>>
>>> Look forward to your response
>>>
>>> Regards
>>> Kiran
>>>
>>> On Fri, Jun 11, 2021 at 1:09 AM Mich Talebzadeh <
>>> mich.talebzadeh@gmail.com> wrote:
>>>
>>>> Hi Kiran. I was using
>>>>
>>>> - Kafka Cluster 2.12-1.1.0
>>>> - Spark Streaming 2.3, Spark SQL 2.3
>>>> - Scala 2.11.8
>>>>
>>>> Your Kafka version 0.10 seems to be pretty old. That may be the issue
>>>> here. Try upgrading Kafka in a test environment to see if it helps.
>>>>
>>>>
>>>> HTH
>>>>
>>>>
>>>> view my Linkedin profile
>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>
>>>>
>>>>
>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>>> any loss, damage or destruction of data or any other property which may
>>>> arise from relying on this email's technical content is explicitly
>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>> arising from such loss, damage or destruction.
>>>>
>>>>
>>>>
>>>>
>>>> On Fri, 11 Jun 2021 at 08:55, Kiran Biswal <bi...@gmail.com>
>>>> wrote:
>>>>
>>>>> Hello Mich
>>>>>
>>>>> When you were using dstream, what version of kafka, spark and scala
>>>>> were you using?
>>>>>
>>>>> I am using kafka 0.10 with spark 3.0.1 and scala 2.12. Do you feel
>>>>> this combination can reliably work from streaming point of view.?
>>>>>
>>>>> I get below error when invoke createDirectStreamException. Any
>>>>> suggestions on how to move forard here?
>>>>>
>>>>> Thanks a kit for ak help.
>>>>> Thanks
>>>>> kiran
>>>>>
>>>>> in thread "streaming-start" java.lang.NoClassDefFoundError:
>>>>> org/apache/kafka/common/security/JaasContext
>>>>>
>>>>> at org.apache.spark.kafka010.KafkaTokenUtil$.isGlobalJaasConfigurationProvided(KafkaTokenUtil.scala:155)
>>>>> at org.apache.spark.kafka010.KafkaConfigUpdater.setAuthenticationConfigIfNeeded(KafkaConfigUpdater.scala:72)
>>>>> at org.apache.spark.kafka010.KafkaConfigUpdater.setAuthenticationConfigIfNeeded(KafkaConfigUpdater.scala:62)
>>>>> at org.apache.spark.streaming.kafka010.ConsumerStrategy.setAuthenticationConfigIfNeeded(ConsumerStrategy.scala:64)
>>>>> at org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:91)
>>>>> at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:73)
>>>>> at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:258)
>>>>> at org.apache.spark.streaming.DStreamGraph.$anonfun$start$7(DStreamGraph.scala:55)
>>>>> at org.apache.spark.streaming.DStreamGraph.$anonfun$start$7$adapted(DStreamGraph.scala:55)
>>>>> at scala.collection.Iterator.foreach(Iterator.scala:941)
>>>>> at scala.collection.Iterator.foreach$(Iterator.scala:941)
>>>>> at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
>>>>> at scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:974)
>>>>> at scala.collection.parallel.Task.$anonfun$tryLeaf$1(Tasks.scala:53)
>>>>> at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
>>>>> at scala.util.control.Breaks$$anon$1.catchBreak(Breaks.scala:67)
>>>>> at scala.collection.parallel.Task.tryLeaf(Tasks.scala:56)
>>>>> at scala.collection.parallel.Task.tryLeaf$(Tasks.scala:50)
>>>>> at scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:971)
>>>>> at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute(Tasks.scala:153)
>>>>> at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute$(Tasks.scala:149)
>>>>> at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:440)
>>>>> at java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:189)
>>>>> at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
>>>>> at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
>>>>> at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)
>>>>> at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:175)
>>>>> Caused by: java.lang.ClassNotFoundException: org.apache.kafka.common.security.JaasContext
>>>>> at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
>>>>> at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
>>>>> at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
>>>>> ... 27 more
>>>>>
>>>>>
>>>>>
>>>>> On Tue, Jun 8, 2021 at 7:26 AM Mich Talebzadeh <
>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>
>>>>>> Hi Kiran,
>>>>>>
>>>>>> I don't seem to have a reference to handling offsets in my old code.
>>>>>>
>>>>>> However, in Spark structured streaming (SSS) I handle it using a
>>>>>> reference to checkpointLocation as below: (this is in Python)
>>>>>>
>>>>>> checkpoint_path = "file:///ssd/hduser/avgtemperature/chkpt"
>>>>>>
>>>>>> result = resultMF.withColumn("uuid",uuidUdf()) \
>>>>>> .selectExpr("CAST(uuid AS STRING) AS key",
>>>>>> "to_json(struct(startOfWindow, endOfWindow, AVGTemperature)) AS value") \
>>>>>> .writeStream \
>>>>>> .outputMode('complete') \
>>>>>> .format("kafka") \
>>>>>> .option("kafka.bootstrap.servers",
>>>>>> config['MDVariables']['bootstrapServers'],) \
>>>>>> .option("topic", "avgtemperature") \
>>>>>> * .option('checkpointLocation', checkpoint_path)
>>>>>> \*
>>>>>> .queryName("avgtemperature") \
>>>>>> .start()
>>>>>>
>>>>>> Now within that checkpoint_path directory you have five
>>>>>> sub-directories containing all you need including offsets
>>>>>>
>>>>>> /ssd/hduser/avgtemperature/chkpt> ls
>>>>>> commits metadata offsets sources state
>>>>>>
>>>>>> HTH
>>>>>>
>>>>>>
>>>>>> view my Linkedin profile
>>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>>>
>>>>>>
>>>>>>
>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>> for any loss, damage or destruction of data or any other property which may
>>>>>> arise from relying on this email's technical content is explicitly
>>>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>>>> arising from such loss, damage or destruction.
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Tue, 8 Jun 2021 at 01:21, Kiran Biswal <bi...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Hello Mich
>>>>>>>
>>>>>>> Thanks a lot. Using code similar to yours I was able to compile.
>>>>>>>
>>>>>>> One outstanding question is in my older code the
>>>>>>> *getConsumerOffsets *older method was handling offsets(
>>>>>>> latestLeaderOffsets, earliestLeaderOffsets etc, was calling
>>>>>>> kafkaCluster).
>>>>>>>
>>>>>>> Will there be data loss if I don't handle offsets? In your example
>>>>>>> handling offsets was not required? If I were to handle offsets any examples
>>>>>>> you could share?
>>>>>>>
>>>>>>> Thanks a lot again and appreciate the great help.
>>>>>>> Regards
>>>>>>> Kiran
>>>>>>>
>>>>>>> On Mon, Jun 7, 2021 at 2:58 AM Mich Talebzadeh <
>>>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>>>
>>>>>>>> Hi Kiran,
>>>>>>>>
>>>>>>>> As you be aware createDirectStream is depreciated and you ought
>>>>>>>> to use Spark Structured streaming, especially that you are moving to
>>>>>>>> version 3.0.1.
>>>>>>>>
>>>>>>>> If you still want to use dstream then that page seems to be correct
>>>>>>>>
>>>>>>>> Looking at my old code I have
>>>>>>>>
>>>>>>>> import org.apache.spark.streaming._
>>>>>>>> import org.apache.spark.streaming.kafka._
>>>>>>>> import org.apache.spark.streaming.kafka.KafkaUtils
>>>>>>>>
>>>>>>>> val kafkaParams = Map[String, String](
>>>>>>>> "bootstrap.servers" ->
>>>>>>>> bootstrapServers,
>>>>>>>> "schema.registry.url" ->
>>>>>>>> schemaRegistryURL,
>>>>>>>> "zookeeper.connect" ->
>>>>>>>> zookeeperConnect,
>>>>>>>> "group.id" -> sparkAppName,
>>>>>>>> "
>>>>>>>> zookeeper.connection.timeout.ms" -> zookeeperConnectionTimeoutMs,
>>>>>>>> "rebalance.backoff.ms" ->
>>>>>>>> rebalanceBackoffMS,
>>>>>>>> "
>>>>>>>> zookeeper.session.timeout.ms" -> zookeeperSessionTimeOutMs,
>>>>>>>> "auto.commit.interval.ms"
>>>>>>>> -> autoCommitIntervalMS
>>>>>>>> )
>>>>>>>> //val topicsSet = topics.split(",").toSet
>>>>>>>> val topicsValue = Set(topics)
>>>>>>>> val dstream = KafkaUtils.createDirectStream[String, String,
>>>>>>>> StringDecoder, StringDecoder](streamingContext, kafkaParams, topicsValue)
>>>>>>>> dstream.cache()
>>>>>>>>
>>>>>>>> HTH,
>>>>>>>>
>>>>>>>>
>>>>>>>> Mich
>>>>>>>>
>>>>>>>>
>>>>>>>> view my Linkedin profile
>>>>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>>>> for any loss, damage or destruction of data or any other property which may
>>>>>>>> arise from relying on this email's technical content is explicitly
>>>>>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>>>>>> arising from such loss, damage or destruction.
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> On Mon, 7 Jun 2021 at 10:34, Kiran Biswal <bi...@gmail.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> Hi Mich, Thanks a lot for your response. I am basically trying to
>>>>>>>>> get some older code(streaming job to read from kafka) in 2.0.1 spark to
>>>>>>>>> work in 3.0,1. The specific area where I am having problem (KafkaCluster)
>>>>>>>>> has most likely to do with get/ set commit offsets in kafka
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> // Create message Dstream for each (topic, schema class)
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> val msgStreams = config.getTopicSchemaClassMap.map {
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> case (kafkaTopic, schemaClass) => {
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> val consumerOffsets = *getConsumerOffsets*(kafkaTopic)
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> val msgDStream = (KafkaUtils.createDirectStream
>>>>>>>>> [Array[Byte], Array[Byte], DefaultDecoder, DefaultDecoder,
>>>>>>>>>
>>>>>>>>> Tuple2[Array[Byte],Array[Byte]]]
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> (ssc, kafkaParams, consumerOffsets,
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> (msg: MessageAndMetadata[Array[Byte], Array[Byte]]) =>
>>>>>>>>> (msg.key, msg.message)
>>>>>>>>>
>>>>>>>>> ))
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> (kafkaTopic, schemaClass, msgDStream)
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> }
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> }
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> *The getConsumerOffsets *method internally used KafkaCluter
>>>>>>>>> which is probably deprecated.
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> Do You think I need to mimic the code shown here to get/set
>>>>>>>>> offsets rather than use kafkaCluster?
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> https://spark.apache.org/docs/3.0.0-preview/streaming-kafka-0-10-integration.html
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> Thanks
>>>>>>>>>
>>>>>>>>> Kiran
>>>>>>>>>
>>>>>>>>> On Mon, Jun 7, 2021 at 1:04 AM Mich Talebzadeh <
>>>>>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> Hi,
>>>>>>>>>>
>>>>>>>>>> Are you trying to read topics from Kafka in spark 3.0.1?
>>>>>>>>>>
>>>>>>>>>> Have you checked Spark 3.0.1 documentation?
>>>>>>>>>>
>>>>>>>>>> Integrating Spark with Kafka is pretty straight forward. with
>>>>>>>>>> 3.0.1 and higher
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> HTH
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> view my Linkedin profile
>>>>>>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> *Disclaimer:* Use it at your own risk. Any and all
>>>>>>>>>> responsibility for any loss, damage or destruction of data or any other
>>>>>>>>>> property which may arise from relying on this email's technical content is
>>>>>>>>>> explicitly disclaimed. The author will in no case be liable for any
>>>>>>>>>> monetary damages arising from such loss, damage or destruction.
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> On Sun, 6 Jun 2021 at 21:18, Kiran Biswal <bi...@gmail.com>
>>>>>>>>>> wrote:
>>>>>>>>>>
>>>>>>>>>>> *I am using spark 3.0.1 AND Kafka 0.10 AND Scala 2.12. Getting
>>>>>>>>>>> an error related to KafkaCluster (not found: type KafkaCluster). Is this
>>>>>>>>>>> class deprecated? How do I find a replacement?*
>>>>>>>>>>>
>>>>>>>>>>> *I am upgrading from spark 2.0.1 to spark 3.0.1*
>>>>>>>>>>>
>>>>>>>>>>> *In spark 2.0.1 KafkaCluster was supported*
>>>>>>>>>>>
>>>>>>>>>>> https://spark.apache.org/docs/2.0.1/api/java/org/apache/spark/streaming/kafka/KafkaCluster.html
>>>>>>>>>>>
>>>>>>>>>>> just looking for ideas how to achieve same functionality in
>>>>>>>>>>> spark 3.0.1. Any thoughts and examples will be highly appreciated.
>>>>>>>>>>>
>>>>>>>>>>> Thanks
>>>>>>>>>>> Kiran
>>>>>>>>>>>
>>>>>>>>>>
Re: protobuf data as input to spark streaming
Posted by Kiran Biswal <bi...@gmail.com>.
Hello Stelios, friendly reminder if you could share any sample code/repo
Are you using a schema registry?
Thanks
Kiran
On Fri, Apr 8, 2022 at 4:37 PM Kiran Biswal <bi...@gmail.com> wrote:
> Hello Stelios
>
> Just a gentle follow up if you can share any sample code/repo
>
> Regards
> Kiran
>
> On Wed, Apr 6, 2022 at 3:19 PM Kiran Biswal <bi...@gmail.com> wrote:
>
>> Hello Stelios
>>
>> Preferred language would have been Scala or pyspark but if Java is proven
>> I am open to using it
>>
>> Any sample reference or example code link?
>>
>> How are you handling the peotobuf to spark dataframe conversion
>> (serialization federalization)?
>>
>> Thanks
>> Kiran
>>
>> On Wed, Apr 6, 2022, 2:38 PM Stelios Philippou <st...@gmail.com>
>> wrote:
>>
>>> Yes we are currently using it as such.
>>> Code is in java. Will that work?
>>>
>>> On Wed, 6 Apr 2022 at 00:51, Kiran Biswal <bi...@gmail.com> wrote:
>>>
>>>> Hello Experts
>>>>
>>>> Has anyone used protobuf (proto3) encoded data (from kafka) as input
>>>> source and been able to do spark structured streaming?
>>>>
>>>> I would appreciate if you can share any sample code/example
>>>>
>>>> Regards
>>>> Kiran
>>>>
>>>>>
Re: protobuf data as input to spark streaming
Posted by Kiran Biswal <bi...@gmail.com>.
Hello Stelios
Just a gentle follow up if you can share any sample code/repo
Regards
Kiran
On Wed, Apr 6, 2022 at 3:19 PM Kiran Biswal <bi...@gmail.com> wrote:
> Hello Stelios
>
> Preferred language would have been Scala or pyspark but if Java is proven
> I am open to using it
>
> Any sample reference or example code link?
>
> How are you handling the peotobuf to spark dataframe conversion
> (serialization federalization)?
>
> Thanks
> Kiran
>
> On Wed, Apr 6, 2022, 2:38 PM Stelios Philippou <st...@gmail.com> wrote:
>
>> Yes we are currently using it as such.
>> Code is in java. Will that work?
>>
>> On Wed, 6 Apr 2022 at 00:51, Kiran Biswal <bi...@gmail.com> wrote:
>>
>>> Hello Experts
>>>
>>> Has anyone used protobuf (proto3) encoded data (from kafka) as input
>>> source and been able to do spark structured streaming?
>>>
>>> I would appreciate if you can share any sample code/example
>>>
>>> Regards
>>> Kiran
>>>
>>>>
Re: protobuf data as input to spark streaming
Posted by Kiran Biswal <bi...@gmail.com>.
Hello Stelios
Preferred language would have been Scala or pyspark but if Java is proven I
am open to using it
Any sample reference or example code link?
How are you handling the peotobuf to spark dataframe conversion
(serialization federalization)?
Thanks
Kiran
On Wed, Apr 6, 2022, 2:38 PM Stelios Philippou <st...@gmail.com> wrote:
> Yes we are currently using it as such.
> Code is in java. Will that work?
>
> On Wed, 6 Apr 2022 at 00:51, Kiran Biswal <bi...@gmail.com> wrote:
>
>> Hello Experts
>>
>> Has anyone used protobuf (proto3) encoded data (from kafka) as input
>> source and been able to do spark structured streaming?
>>
>> I would appreciate if you can share any sample code/example
>>
>> Regards
>> Kiran
>>
>>>
Re: protobuf data as input to spark streaming
Posted by Stelios Philippou <st...@gmail.com>.
Yes we are currently using it as such.
Code is in java. Will that work?
On Wed, 6 Apr 2022 at 00:51, Kiran Biswal <bi...@gmail.com> wrote:
> Hello Experts
>
> Has anyone used protobuf (proto3) encoded data (from kafka) as input
> source and been able to do spark structured streaming?
>
> I would appreciate if you can share any sample code/example
>
> Regards
> Kiran
>
>>
protobuf data as input to spark streaming
Posted by Kiran Biswal <bi...@gmail.com>.
Hello Experts
Has anyone used protobuf (proto3) encoded data (from kafka) as input source
and been able to do spark structured streaming?
I would appreciate if you can share any sample code/example
Regards
Kiran
>
Re: class KafkaCluster related errors
Posted by Mich Talebzadeh <mi...@gmail.com>.
Hi Kiran
Looking at your pom file Isee below
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-streams</artifactId>
<version>0.10.0.0</version>
</dependency>
Why do you need kafka-streams? I don't think spark uses it and may get
libraries confused.
HTH
view my Linkedin profile
<https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.
On Sun, 13 Jun 2021 at 05:17, Kiran Biswal <bi...@gmail.com> wrote:
> Hello Mich
>
> Thanks a lot for all your help. As per this document spark 3.0.1 and kafka
> 0.10 is a supported combination that's what i have
>
> https://spark.apache.org/docs/3.0.1/streaming-kafka-0-10-integration.html
>
> I have attached the pom.xml file (I use maven environment). Would you
> kindly take a look to see if something needs to change in terms of
> versioning or anything additional I need to include to get streaming
> working?
>
> Look forward to your response
>
> Regards
> Kiran
>
> On Fri, Jun 11, 2021 at 1:09 AM Mich Talebzadeh <mi...@gmail.com>
> wrote:
>
>> Hi Kiran. I was using
>>
>> - Kafka Cluster 2.12-1.1.0
>> - Spark Streaming 2.3, Spark SQL 2.3
>> - Scala 2.11.8
>>
>> Your Kafka version 0.10 seems to be pretty old. That may be the issue
>> here. Try upgrading Kafka in a test environment to see if it helps.
>>
>>
>> HTH
>>
>>
>> view my Linkedin profile
>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>>
>> On Fri, 11 Jun 2021 at 08:55, Kiran Biswal <bi...@gmail.com> wrote:
>>
>>> Hello Mich
>>>
>>> When you were using dstream, what version of kafka, spark and scala were
>>> you using?
>>>
>>> I am using kafka 0.10 with spark 3.0.1 and scala 2.12. Do you feel this
>>> combination can reliably work from streaming point of view.?
>>>
>>> I get below error when invoke createDirectStreamException. Any
>>> suggestions on how to move forard here?
>>>
>>> Thanks a kit for ak help.
>>> Thanks
>>> kiran
>>>
>>> in thread "streaming-start" java.lang.NoClassDefFoundError:
>>> org/apache/kafka/common/security/JaasContext
>>>
>>> at org.apache.spark.kafka010.KafkaTokenUtil$.isGlobalJaasConfigurationProvided(KafkaTokenUtil.scala:155)
>>> at org.apache.spark.kafka010.KafkaConfigUpdater.setAuthenticationConfigIfNeeded(KafkaConfigUpdater.scala:72)
>>> at org.apache.spark.kafka010.KafkaConfigUpdater.setAuthenticationConfigIfNeeded(KafkaConfigUpdater.scala:62)
>>> at org.apache.spark.streaming.kafka010.ConsumerStrategy.setAuthenticationConfigIfNeeded(ConsumerStrategy.scala:64)
>>> at org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:91)
>>> at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:73)
>>> at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:258)
>>> at org.apache.spark.streaming.DStreamGraph.$anonfun$start$7(DStreamGraph.scala:55)
>>> at org.apache.spark.streaming.DStreamGraph.$anonfun$start$7$adapted(DStreamGraph.scala:55)
>>> at scala.collection.Iterator.foreach(Iterator.scala:941)
>>> at scala.collection.Iterator.foreach$(Iterator.scala:941)
>>> at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
>>> at scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:974)
>>> at scala.collection.parallel.Task.$anonfun$tryLeaf$1(Tasks.scala:53)
>>> at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
>>> at scala.util.control.Breaks$$anon$1.catchBreak(Breaks.scala:67)
>>> at scala.collection.parallel.Task.tryLeaf(Tasks.scala:56)
>>> at scala.collection.parallel.Task.tryLeaf$(Tasks.scala:50)
>>> at scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:971)
>>> at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute(Tasks.scala:153)
>>> at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute$(Tasks.scala:149)
>>> at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:440)
>>> at java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:189)
>>> at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
>>> at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
>>> at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)
>>> at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:175)
>>> Caused by: java.lang.ClassNotFoundException: org.apache.kafka.common.security.JaasContext
>>> at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
>>> at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
>>> at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
>>> ... 27 more
>>>
>>>
>>>
>>> On Tue, Jun 8, 2021 at 7:26 AM Mich Talebzadeh <
>>> mich.talebzadeh@gmail.com> wrote:
>>>
>>>> Hi Kiran,
>>>>
>>>> I don't seem to have a reference to handling offsets in my old code.
>>>>
>>>> However, in Spark structured streaming (SSS) I handle it using a
>>>> reference to checkpointLocation as below: (this is in Python)
>>>>
>>>> checkpoint_path = "file:///ssd/hduser/avgtemperature/chkpt"
>>>>
>>>> result = resultMF.withColumn("uuid",uuidUdf()) \
>>>> .selectExpr("CAST(uuid AS STRING) AS key",
>>>> "to_json(struct(startOfWindow, endOfWindow, AVGTemperature)) AS value") \
>>>> .writeStream \
>>>> .outputMode('complete') \
>>>> .format("kafka") \
>>>> .option("kafka.bootstrap.servers",
>>>> config['MDVariables']['bootstrapServers'],) \
>>>> .option("topic", "avgtemperature") \
>>>> * .option('checkpointLocation', checkpoint_path) \*
>>>> .queryName("avgtemperature") \
>>>> .start()
>>>>
>>>> Now within that checkpoint_path directory you have five
>>>> sub-directories containing all you need including offsets
>>>>
>>>> /ssd/hduser/avgtemperature/chkpt> ls
>>>> commits metadata offsets sources state
>>>>
>>>> HTH
>>>>
>>>>
>>>> view my Linkedin profile
>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>
>>>>
>>>>
>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>>> any loss, damage or destruction of data or any other property which may
>>>> arise from relying on this email's technical content is explicitly
>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>> arising from such loss, damage or destruction.
>>>>
>>>>
>>>>
>>>>
>>>> On Tue, 8 Jun 2021 at 01:21, Kiran Biswal <bi...@gmail.com>
>>>> wrote:
>>>>
>>>>> Hello Mich
>>>>>
>>>>> Thanks a lot. Using code similar to yours I was able to compile.
>>>>>
>>>>> One outstanding question is in my older code the *getConsumerOffsets *older
>>>>> method was handling offsets(latestLeaderOffsets, earliestLeaderOffsets
>>>>> etc, was calling kafkaCluster).
>>>>>
>>>>> Will there be data loss if I don't handle offsets? In your example
>>>>> handling offsets was not required? If I were to handle offsets any examples
>>>>> you could share?
>>>>>
>>>>> Thanks a lot again and appreciate the great help.
>>>>> Regards
>>>>> Kiran
>>>>>
>>>>> On Mon, Jun 7, 2021 at 2:58 AM Mich Talebzadeh <
>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>
>>>>>> Hi Kiran,
>>>>>>
>>>>>> As you be aware createDirectStream is depreciated and you ought to
>>>>>> use Spark Structured streaming, especially that you are moving to version
>>>>>> 3.0.1.
>>>>>>
>>>>>> If you still want to use dstream then that page seems to be correct
>>>>>>
>>>>>> Looking at my old code I have
>>>>>>
>>>>>> import org.apache.spark.streaming._
>>>>>> import org.apache.spark.streaming.kafka._
>>>>>> import org.apache.spark.streaming.kafka.KafkaUtils
>>>>>>
>>>>>> val kafkaParams = Map[String, String](
>>>>>> "bootstrap.servers" ->
>>>>>> bootstrapServers,
>>>>>> "schema.registry.url" ->
>>>>>> schemaRegistryURL,
>>>>>> "zookeeper.connect" ->
>>>>>> zookeeperConnect,
>>>>>> "group.id" -> sparkAppName,
>>>>>> "
>>>>>> zookeeper.connection.timeout.ms" -> zookeeperConnectionTimeoutMs,
>>>>>> "rebalance.backoff.ms" ->
>>>>>> rebalanceBackoffMS,
>>>>>> "zookeeper.session.timeout.ms"
>>>>>> -> zookeeperSessionTimeOutMs,
>>>>>> "auto.commit.interval.ms" ->
>>>>>> autoCommitIntervalMS
>>>>>> )
>>>>>> //val topicsSet = topics.split(",").toSet
>>>>>> val topicsValue = Set(topics)
>>>>>> val dstream = KafkaUtils.createDirectStream[String, String,
>>>>>> StringDecoder, StringDecoder](streamingContext, kafkaParams, topicsValue)
>>>>>> dstream.cache()
>>>>>>
>>>>>> HTH,
>>>>>>
>>>>>>
>>>>>> Mich
>>>>>>
>>>>>>
>>>>>> view my Linkedin profile
>>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>>>
>>>>>>
>>>>>>
>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>> for any loss, damage or destruction of data or any other property which may
>>>>>> arise from relying on this email's technical content is explicitly
>>>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>>>> arising from such loss, damage or destruction.
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Mon, 7 Jun 2021 at 10:34, Kiran Biswal <bi...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Hi Mich, Thanks a lot for your response. I am basically trying to
>>>>>>> get some older code(streaming job to read from kafka) in 2.0.1 spark to
>>>>>>> work in 3.0,1. The specific area where I am having problem (KafkaCluster)
>>>>>>> has most likely to do with get/ set commit offsets in kafka
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> // Create message Dstream for each (topic, schema class)
>>>>>>>
>>>>>>>
>>>>>>> val msgStreams = config.getTopicSchemaClassMap.map {
>>>>>>>
>>>>>>>
>>>>>>> case (kafkaTopic, schemaClass) => {
>>>>>>>
>>>>>>>
>>>>>>> val consumerOffsets = *getConsumerOffsets*(kafkaTopic)
>>>>>>>
>>>>>>>
>>>>>>> val msgDStream = (KafkaUtils.createDirectStream[Array[Byte],
>>>>>>> Array[Byte], DefaultDecoder, DefaultDecoder,
>>>>>>>
>>>>>>> Tuple2[Array[Byte],Array[Byte]]]
>>>>>>>
>>>>>>>
>>>>>>> (ssc, kafkaParams, consumerOffsets,
>>>>>>>
>>>>>>>
>>>>>>> (msg: MessageAndMetadata[Array[Byte], Array[Byte]]) =>
>>>>>>> (msg.key, msg.message)
>>>>>>>
>>>>>>> ))
>>>>>>>
>>>>>>>
>>>>>>> (kafkaTopic, schemaClass, msgDStream)
>>>>>>>
>>>>>>>
>>>>>>> }
>>>>>>>
>>>>>>>
>>>>>>> }
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> *The getConsumerOffsets *method internally used KafkaCluter which
>>>>>>> is probably deprecated.
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> Do You think I need to mimic the code shown here to get/set offsets
>>>>>>> rather than use kafkaCluster?
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> https://spark.apache.org/docs/3.0.0-preview/streaming-kafka-0-10-integration.html
>>>>>>>
>>>>>>>
>>>>>>> Thanks
>>>>>>>
>>>>>>> Kiran
>>>>>>>
>>>>>>> On Mon, Jun 7, 2021 at 1:04 AM Mich Talebzadeh <
>>>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>>>
>>>>>>>>
>>>>>>>> Hi,
>>>>>>>>
>>>>>>>> Are you trying to read topics from Kafka in spark 3.0.1?
>>>>>>>>
>>>>>>>> Have you checked Spark 3.0.1 documentation?
>>>>>>>>
>>>>>>>> Integrating Spark with Kafka is pretty straight forward. with 3.0.1
>>>>>>>> and higher
>>>>>>>>
>>>>>>>>
>>>>>>>> HTH
>>>>>>>>
>>>>>>>>
>>>>>>>> view my Linkedin profile
>>>>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>>>> for any loss, damage or destruction of data or any other property which may
>>>>>>>> arise from relying on this email's technical content is explicitly
>>>>>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>>>>>> arising from such loss, damage or destruction.
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> On Sun, 6 Jun 2021 at 21:18, Kiran Biswal <bi...@gmail.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> *I am using spark 3.0.1 AND Kafka 0.10 AND Scala 2.12. Getting an
>>>>>>>>> error related to KafkaCluster (not found: type KafkaCluster). Is this class
>>>>>>>>> deprecated? How do I find a replacement?*
>>>>>>>>>
>>>>>>>>> *I am upgrading from spark 2.0.1 to spark 3.0.1*
>>>>>>>>>
>>>>>>>>> *In spark 2.0.1 KafkaCluster was supported*
>>>>>>>>>
>>>>>>>>> https://spark.apache.org/docs/2.0.1/api/java/org/apache/spark/streaming/kafka/KafkaCluster.html
>>>>>>>>>
>>>>>>>>> just looking for ideas how to achieve same functionality in spark
>>>>>>>>> 3.0.1. Any thoughts and examples will be highly appreciated.
>>>>>>>>>
>>>>>>>>> Thanks
>>>>>>>>> Kiran
>>>>>>>>>
>>>>>>>>
Re: class KafkaCluster related errors
Posted by Mich Talebzadeh <mi...@gmail.com>.
Hi Kiran. I was using
- Kafka Cluster 2.12-1.1.0
- Spark Streaming 2.3, Spark SQL 2.3
- Scala 2.11.8
Your Kafka version 0.10 seems to be pretty old. That may be the issue here.
Try upgrading Kafka in a test environment to see if it helps.
HTH
view my Linkedin profile
<https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.
On Fri, 11 Jun 2021 at 08:55, Kiran Biswal <bi...@gmail.com> wrote:
> Hello Mich
>
> When you were using dstream, what version of kafka, spark and scala were
> you using?
>
> I am using kafka 0.10 with spark 3.0.1 and scala 2.12. Do you feel this
> combination can reliably work from streaming point of view.?
>
> I get below error when invoke createDirectStreamException. Any
> suggestions on how to move forard here?
>
> Thanks a kit for ak help.
> Thanks
> kiran
>
> in thread "streaming-start" java.lang.NoClassDefFoundError:
> org/apache/kafka/common/security/JaasContext
>
> at org.apache.spark.kafka010.KafkaTokenUtil$.isGlobalJaasConfigurationProvided(KafkaTokenUtil.scala:155)
> at org.apache.spark.kafka010.KafkaConfigUpdater.setAuthenticationConfigIfNeeded(KafkaConfigUpdater.scala:72)
> at org.apache.spark.kafka010.KafkaConfigUpdater.setAuthenticationConfigIfNeeded(KafkaConfigUpdater.scala:62)
> at org.apache.spark.streaming.kafka010.ConsumerStrategy.setAuthenticationConfigIfNeeded(ConsumerStrategy.scala:64)
> at org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:91)
> at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:73)
> at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:258)
> at org.apache.spark.streaming.DStreamGraph.$anonfun$start$7(DStreamGraph.scala:55)
> at org.apache.spark.streaming.DStreamGraph.$anonfun$start$7$adapted(DStreamGraph.scala:55)
> at scala.collection.Iterator.foreach(Iterator.scala:941)
> at scala.collection.Iterator.foreach$(Iterator.scala:941)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
> at scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:974)
> at scala.collection.parallel.Task.$anonfun$tryLeaf$1(Tasks.scala:53)
> at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
> at scala.util.control.Breaks$$anon$1.catchBreak(Breaks.scala:67)
> at scala.collection.parallel.Task.tryLeaf(Tasks.scala:56)
> at scala.collection.parallel.Task.tryLeaf$(Tasks.scala:50)
> at scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:971)
> at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute(Tasks.scala:153)
> at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute$(Tasks.scala:149)
> at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:440)
> at java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:189)
> at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
> at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
> at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)
> at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:175)
> Caused by: java.lang.ClassNotFoundException: org.apache.kafka.common.security.JaasContext
> at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
> ... 27 more
>
>
>
> On Tue, Jun 8, 2021 at 7:26 AM Mich Talebzadeh <mi...@gmail.com>
> wrote:
>
>> Hi Kiran,
>>
>> I don't seem to have a reference to handling offsets in my old code.
>>
>> However, in Spark structured streaming (SSS) I handle it using a
>> reference to checkpointLocation as below: (this is in Python)
>>
>> checkpoint_path = "file:///ssd/hduser/avgtemperature/chkpt"
>>
>> result = resultMF.withColumn("uuid",uuidUdf()) \
>> .selectExpr("CAST(uuid AS STRING) AS key",
>> "to_json(struct(startOfWindow, endOfWindow, AVGTemperature)) AS value") \
>> .writeStream \
>> .outputMode('complete') \
>> .format("kafka") \
>> .option("kafka.bootstrap.servers",
>> config['MDVariables']['bootstrapServers'],) \
>> .option("topic", "avgtemperature") \
>> * .option('checkpointLocation', checkpoint_path) \*
>> .queryName("avgtemperature") \
>> .start()
>>
>> Now within that checkpoint_path directory you have five sub-directories
>> containing all you need including offsets
>>
>> /ssd/hduser/avgtemperature/chkpt> ls
>> commits metadata offsets sources state
>>
>> HTH
>>
>>
>> view my Linkedin profile
>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>>
>> On Tue, 8 Jun 2021 at 01:21, Kiran Biswal <bi...@gmail.com> wrote:
>>
>>> Hello Mich
>>>
>>> Thanks a lot. Using code similar to yours I was able to compile.
>>>
>>> One outstanding question is in my older code the *getConsumerOffsets *older
>>> method was handling offsets(latestLeaderOffsets, earliestLeaderOffsets
>>> etc, was calling kafkaCluster).
>>>
>>> Will there be data loss if I don't handle offsets? In your example
>>> handling offsets was not required? If I were to handle offsets any examples
>>> you could share?
>>>
>>> Thanks a lot again and appreciate the great help.
>>> Regards
>>> Kiran
>>>
>>> On Mon, Jun 7, 2021 at 2:58 AM Mich Talebzadeh <
>>> mich.talebzadeh@gmail.com> wrote:
>>>
>>>> Hi Kiran,
>>>>
>>>> As you be aware createDirectStream is depreciated and you ought to
>>>> use Spark Structured streaming, especially that you are moving to version
>>>> 3.0.1.
>>>>
>>>> If you still want to use dstream then that page seems to be correct
>>>>
>>>> Looking at my old code I have
>>>>
>>>> import org.apache.spark.streaming._
>>>> import org.apache.spark.streaming.kafka._
>>>> import org.apache.spark.streaming.kafka.KafkaUtils
>>>>
>>>> val kafkaParams = Map[String, String](
>>>> "bootstrap.servers" ->
>>>> bootstrapServers,
>>>> "schema.registry.url" ->
>>>> schemaRegistryURL,
>>>> "zookeeper.connect" ->
>>>> zookeeperConnect,
>>>> "group.id" -> sparkAppName,
>>>> "zookeeper.connection.timeout.ms"
>>>> -> zookeeperConnectionTimeoutMs,
>>>> "rebalance.backoff.ms" ->
>>>> rebalanceBackoffMS,
>>>> "zookeeper.session.timeout.ms"
>>>> -> zookeeperSessionTimeOutMs,
>>>> "auto.commit.interval.ms" ->
>>>> autoCommitIntervalMS
>>>> )
>>>> //val topicsSet = topics.split(",").toSet
>>>> val topicsValue = Set(topics)
>>>> val dstream = KafkaUtils.createDirectStream[String, String,
>>>> StringDecoder, StringDecoder](streamingContext, kafkaParams, topicsValue)
>>>> dstream.cache()
>>>>
>>>> HTH,
>>>>
>>>>
>>>> Mich
>>>>
>>>>
>>>> view my Linkedin profile
>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>
>>>>
>>>>
>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>>> any loss, damage or destruction of data or any other property which may
>>>> arise from relying on this email's technical content is explicitly
>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>> arising from such loss, damage or destruction.
>>>>
>>>>
>>>>
>>>>
>>>> On Mon, 7 Jun 2021 at 10:34, Kiran Biswal <bi...@gmail.com>
>>>> wrote:
>>>>
>>>>> Hi Mich, Thanks a lot for your response. I am basically trying to get
>>>>> some older code(streaming job to read from kafka) in 2.0.1 spark to work in
>>>>> 3.0,1. The specific area where I am having problem (KafkaCluster) has most
>>>>> likely to do with get/ set commit offsets in kafka
>>>>>
>>>>>
>>>>>
>>>>> // Create message Dstream for each (topic, schema class)
>>>>>
>>>>>
>>>>> val msgStreams = config.getTopicSchemaClassMap.map {
>>>>>
>>>>>
>>>>> case (kafkaTopic, schemaClass) => {
>>>>>
>>>>>
>>>>> val consumerOffsets = *getConsumerOffsets*(kafkaTopic)
>>>>>
>>>>>
>>>>> val msgDStream = (KafkaUtils.createDirectStream[Array[Byte],
>>>>> Array[Byte], DefaultDecoder, DefaultDecoder,
>>>>>
>>>>> Tuple2[Array[Byte],Array[Byte]]]
>>>>>
>>>>>
>>>>> (ssc, kafkaParams, consumerOffsets,
>>>>>
>>>>>
>>>>> (msg: MessageAndMetadata[Array[Byte], Array[Byte]]) =>
>>>>> (msg.key, msg.message)
>>>>>
>>>>> ))
>>>>>
>>>>>
>>>>> (kafkaTopic, schemaClass, msgDStream)
>>>>>
>>>>>
>>>>> }
>>>>>
>>>>>
>>>>> }
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> *The getConsumerOffsets *method internally used KafkaCluter which
>>>>> is probably deprecated.
>>>>>
>>>>>
>>>>>
>>>>> Do You think I need to mimic the code shown here to get/set offsets
>>>>> rather than use kafkaCluster?
>>>>>
>>>>>
>>>>>
>>>>> https://spark.apache.org/docs/3.0.0-preview/streaming-kafka-0-10-integration.html
>>>>>
>>>>>
>>>>> Thanks
>>>>>
>>>>> Kiran
>>>>>
>>>>> On Mon, Jun 7, 2021 at 1:04 AM Mich Talebzadeh <
>>>>> mich.talebzadeh@gmail.com> wrote:
>>>>>
>>>>>>
>>>>>> Hi,
>>>>>>
>>>>>> Are you trying to read topics from Kafka in spark 3.0.1?
>>>>>>
>>>>>> Have you checked Spark 3.0.1 documentation?
>>>>>>
>>>>>> Integrating Spark with Kafka is pretty straight forward. with 3.0.1
>>>>>> and higher
>>>>>>
>>>>>>
>>>>>> HTH
>>>>>>
>>>>>>
>>>>>> view my Linkedin profile
>>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>>>
>>>>>>
>>>>>>
>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility
>>>>>> for any loss, damage or destruction of data or any other property which may
>>>>>> arise from relying on this email's technical content is explicitly
>>>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>>>> arising from such loss, damage or destruction.
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Sun, 6 Jun 2021 at 21:18, Kiran Biswal <bi...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> *I am using spark 3.0.1 AND Kafka 0.10 AND Scala 2.12. Getting an
>>>>>>> error related to KafkaCluster (not found: type KafkaCluster). Is this class
>>>>>>> deprecated? How do I find a replacement?*
>>>>>>>
>>>>>>> *I am upgrading from spark 2.0.1 to spark 3.0.1*
>>>>>>>
>>>>>>> *In spark 2.0.1 KafkaCluster was supported*
>>>>>>>
>>>>>>> https://spark.apache.org/docs/2.0.1/api/java/org/apache/spark/streaming/kafka/KafkaCluster.html
>>>>>>>
>>>>>>> just looking for ideas how to achieve same functionality in spark
>>>>>>> 3.0.1. Any thoughts and examples will be highly appreciated.
>>>>>>>
>>>>>>> Thanks
>>>>>>> Kiran
>>>>>>>
>>>>>>
Re: class KafkaCluster related errors
Posted by Mich Talebzadeh <mi...@gmail.com>.
Hi Kiran,
I don't seem to have a reference to handling offsets in my old code.
However, in Spark structured streaming (SSS) I handle it using a reference
to checkpointLocation as below: (this is in Python)
checkpoint_path = "file:///ssd/hduser/avgtemperature/chkpt"
result = resultMF.withColumn("uuid",uuidUdf()) \
.selectExpr("CAST(uuid AS STRING) AS key",
"to_json(struct(startOfWindow, endOfWindow, AVGTemperature)) AS value") \
.writeStream \
.outputMode('complete') \
.format("kafka") \
.option("kafka.bootstrap.servers",
config['MDVariables']['bootstrapServers'],) \
.option("topic", "avgtemperature") \
* .option('checkpointLocation', checkpoint_path) \*
.queryName("avgtemperature") \
.start()
Now within that checkpoint_path directory you have five sub-directories
containing all you need including offsets
/ssd/hduser/avgtemperature/chkpt> ls
commits metadata offsets sources state
HTH
view my Linkedin profile
<https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.
On Tue, 8 Jun 2021 at 01:21, Kiran Biswal <bi...@gmail.com> wrote:
> Hello Mich
>
> Thanks a lot. Using code similar to yours I was able to compile.
>
> One outstanding question is in my older code the *getConsumerOffsets *older
> method was handling offsets(latestLeaderOffsets, earliestLeaderOffsets
> etc, was calling kafkaCluster).
>
> Will there be data loss if I don't handle offsets? In your example
> handling offsets was not required? If I were to handle offsets any examples
> you could share?
>
> Thanks a lot again and appreciate the great help.
> Regards
> Kiran
>
> On Mon, Jun 7, 2021 at 2:58 AM Mich Talebzadeh <mi...@gmail.com>
> wrote:
>
>> Hi Kiran,
>>
>> As you be aware createDirectStream is depreciated and you ought to use
>> Spark Structured streaming, especially that you are moving to version 3.0.1.
>>
>> If you still want to use dstream then that page seems to be correct
>>
>> Looking at my old code I have
>>
>> import org.apache.spark.streaming._
>> import org.apache.spark.streaming.kafka._
>> import org.apache.spark.streaming.kafka.KafkaUtils
>>
>> val kafkaParams = Map[String, String](
>> "bootstrap.servers" ->
>> bootstrapServers,
>> "schema.registry.url" ->
>> schemaRegistryURL,
>> "zookeeper.connect" ->
>> zookeeperConnect,
>> "group.id" -> sparkAppName,
>> "zookeeper.connection.timeout.ms"
>> -> zookeeperConnectionTimeoutMs,
>> "rebalance.backoff.ms" ->
>> rebalanceBackoffMS,
>> "zookeeper.session.timeout.ms" ->
>> zookeeperSessionTimeOutMs,
>> "auto.commit.interval.ms" ->
>> autoCommitIntervalMS
>> )
>> //val topicsSet = topics.split(",").toSet
>> val topicsValue = Set(topics)
>> val dstream = KafkaUtils.createDirectStream[String, String,
>> StringDecoder, StringDecoder](streamingContext, kafkaParams, topicsValue)
>> dstream.cache()
>>
>> HTH,
>>
>>
>> Mich
>>
>>
>> view my Linkedin profile
>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>>
>> On Mon, 7 Jun 2021 at 10:34, Kiran Biswal <bi...@gmail.com> wrote:
>>
>>> Hi Mich, Thanks a lot for your response. I am basically trying to get
>>> some older code(streaming job to read from kafka) in 2.0.1 spark to work in
>>> 3.0,1. The specific area where I am having problem (KafkaCluster) has most
>>> likely to do with get/ set commit offsets in kafka
>>>
>>>
>>>
>>> // Create message Dstream for each (topic, schema class)
>>>
>>>
>>> val msgStreams = config.getTopicSchemaClassMap.map {
>>>
>>>
>>> case (kafkaTopic, schemaClass) => {
>>>
>>>
>>> val consumerOffsets = *getConsumerOffsets*(kafkaTopic)
>>>
>>>
>>> val msgDStream = (KafkaUtils.createDirectStream[Array[Byte],
>>> Array[Byte], DefaultDecoder, DefaultDecoder,
>>>
>>> Tuple2[Array[Byte],Array[Byte]]]
>>>
>>>
>>> (ssc, kafkaParams, consumerOffsets,
>>>
>>>
>>> (msg: MessageAndMetadata[Array[Byte], Array[Byte]]) =>
>>> (msg.key, msg.message)
>>>
>>> ))
>>>
>>>
>>> (kafkaTopic, schemaClass, msgDStream)
>>>
>>>
>>> }
>>>
>>>
>>> }
>>>
>>>
>>>
>>>
>>> *The getConsumerOffsets *method internally used KafkaCluter which is
>>> probably deprecated.
>>>
>>>
>>>
>>> Do You think I need to mimic the code shown here to get/set offsets
>>> rather than use kafkaCluster?
>>>
>>>
>>>
>>> https://spark.apache.org/docs/3.0.0-preview/streaming-kafka-0-10-integration.html
>>>
>>>
>>> Thanks
>>>
>>> Kiran
>>>
>>> On Mon, Jun 7, 2021 at 1:04 AM Mich Talebzadeh <
>>> mich.talebzadeh@gmail.com> wrote:
>>>
>>>>
>>>> Hi,
>>>>
>>>> Are you trying to read topics from Kafka in spark 3.0.1?
>>>>
>>>> Have you checked Spark 3.0.1 documentation?
>>>>
>>>> Integrating Spark with Kafka is pretty straight forward. with 3.0.1 and
>>>> higher
>>>>
>>>>
>>>> HTH
>>>>
>>>>
>>>> view my Linkedin profile
>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>>>
>>>>
>>>>
>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>>> any loss, damage or destruction of data or any other property which may
>>>> arise from relying on this email's technical content is explicitly
>>>> disclaimed. The author will in no case be liable for any monetary damages
>>>> arising from such loss, damage or destruction.
>>>>
>>>>
>>>>
>>>>
>>>> On Sun, 6 Jun 2021 at 21:18, Kiran Biswal <bi...@gmail.com>
>>>> wrote:
>>>>
>>>>> *I am using spark 3.0.1 AND Kafka 0.10 AND Scala 2.12. Getting an
>>>>> error related to KafkaCluster (not found: type KafkaCluster). Is this class
>>>>> deprecated? How do I find a replacement?*
>>>>>
>>>>> *I am upgrading from spark 2.0.1 to spark 3.0.1*
>>>>>
>>>>> *In spark 2.0.1 KafkaCluster was supported*
>>>>>
>>>>> https://spark.apache.org/docs/2.0.1/api/java/org/apache/spark/streaming/kafka/KafkaCluster.html
>>>>>
>>>>> just looking for ideas how to achieve same functionality in spark
>>>>> 3.0.1. Any thoughts and examples will be highly appreciated.
>>>>>
>>>>> Thanks
>>>>> Kiran
>>>>>
>>>>
Re: class KafkaCluster related errors
Posted by Mich Talebzadeh <mi...@gmail.com>.
Hi Kiran,
As you be aware createDirectStream is depreciated and you ought to use
Spark Structured streaming, especially that you are moving to version 3.0.1.
If you still want to use dstream then that page seems to be correct
Looking at my old code I have
import org.apache.spark.streaming._
import org.apache.spark.streaming.kafka._
import org.apache.spark.streaming.kafka.KafkaUtils
val kafkaParams = Map[String, String](
"bootstrap.servers" ->
bootstrapServers,
"schema.registry.url" ->
schemaRegistryURL,
"zookeeper.connect" ->
zookeeperConnect,
"group.id" -> sparkAppName,
"zookeeper.connection.timeout.ms" ->
zookeeperConnectionTimeoutMs,
"rebalance.backoff.ms" ->
rebalanceBackoffMS,
"zookeeper.session.timeout.ms" ->
zookeeperSessionTimeOutMs,
"auto.commit.interval.ms" ->
autoCommitIntervalMS
)
//val topicsSet = topics.split(",").toSet
val topicsValue = Set(topics)
val dstream = KafkaUtils.createDirectStream[String, String,
StringDecoder, StringDecoder](streamingContext, kafkaParams, topicsValue)
dstream.cache()
HTH,
Mich
view my Linkedin profile
<https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.
On Mon, 7 Jun 2021 at 10:34, Kiran Biswal <bi...@gmail.com> wrote:
> Hi Mich, Thanks a lot for your response. I am basically trying to get some
> older code(streaming job to read from kafka) in 2.0.1 spark to work in
> 3.0,1. The specific area where I am having problem (KafkaCluster) has most
> likely to do with get/ set commit offsets in kafka
>
>
>
> // Create message Dstream for each (topic, schema class)
>
>
> val msgStreams = config.getTopicSchemaClassMap.map {
>
>
> case (kafkaTopic, schemaClass) => {
>
>
> val consumerOffsets = *getConsumerOffsets*(kafkaTopic)
>
>
> val msgDStream = (KafkaUtils.createDirectStream[Array[Byte],
> Array[Byte], DefaultDecoder, DefaultDecoder,
>
> Tuple2[Array[Byte],Array[Byte]]]
>
>
> (ssc, kafkaParams, consumerOffsets,
>
>
> (msg: MessageAndMetadata[Array[Byte], Array[Byte]]) =>
> (msg.key, msg.message)
>
> ))
>
>
> (kafkaTopic, schemaClass, msgDStream)
>
>
> }
>
>
> }
>
>
>
>
> *The getConsumerOffsets *method internally used KafkaCluter which is
> probably deprecated.
>
>
>
> Do You think I need to mimic the code shown here to get/set offsets rather
> than use kafkaCluster?
>
>
>
> https://spark.apache.org/docs/3.0.0-preview/streaming-kafka-0-10-integration.html
>
>
> Thanks
>
> Kiran
>
> On Mon, Jun 7, 2021 at 1:04 AM Mich Talebzadeh <mi...@gmail.com>
> wrote:
>
>>
>> Hi,
>>
>> Are you trying to read topics from Kafka in spark 3.0.1?
>>
>> Have you checked Spark 3.0.1 documentation?
>>
>> Integrating Spark with Kafka is pretty straight forward. with 3.0.1 and
>> higher
>>
>>
>> HTH
>>
>>
>> view my Linkedin profile
>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>>
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>>
>> On Sun, 6 Jun 2021 at 21:18, Kiran Biswal <bi...@gmail.com> wrote:
>>
>>> *I am using spark 3.0.1 AND Kafka 0.10 AND Scala 2.12. Getting an error
>>> related to KafkaCluster (not found: type KafkaCluster). Is this class
>>> deprecated? How do I find a replacement?*
>>>
>>> *I am upgrading from spark 2.0.1 to spark 3.0.1*
>>>
>>> *In spark 2.0.1 KafkaCluster was supported*
>>>
>>> https://spark.apache.org/docs/2.0.1/api/java/org/apache/spark/streaming/kafka/KafkaCluster.html
>>>
>>> just looking for ideas how to achieve same functionality in spark 3.0.1.
>>> Any thoughts and examples will be highly appreciated.
>>>
>>> Thanks
>>> Kiran
>>>
>>
Re: class KafkaCluster related errors
Posted by Kiran Biswal <bi...@gmail.com>.
Hi Mich, Thanks a lot for your response. I am basically trying to get some
older code(streaming job to read from kafka) in 2.0.1 spark to work in
3.0,1. The specific area where I am having problem (KafkaCluster) has most
likely to do with get/ set commit offsets in kafka
// Create message Dstream for each (topic, schema class)
val msgStreams = config.getTopicSchemaClassMap.map {
case (kafkaTopic, schemaClass) => {
val consumerOffsets = *getConsumerOffsets*(kafkaTopic)
val msgDStream = (KafkaUtils.createDirectStream[Array[Byte],
Array[Byte], DefaultDecoder, DefaultDecoder,
Tuple2[Array[Byte],Array[Byte]]]
(ssc, kafkaParams, consumerOffsets,
(msg: MessageAndMetadata[Array[Byte], Array[Byte]]) => (msg.key,
msg.message)
))
(kafkaTopic, schemaClass, msgDStream)
}
}
*The getConsumerOffsets *method internally used KafkaCluter which is
probably deprecated.
Do You think I need to mimic the code shown here to get/set offsets rather
than use kafkaCluster?
https://spark.apache.org/docs/3.0.0-preview/streaming-kafka-0-10-integration.html
Thanks
Kiran
On Mon, Jun 7, 2021 at 1:04 AM Mich Talebzadeh <mi...@gmail.com>
wrote:
>
> Hi,
>
> Are you trying to read topics from Kafka in spark 3.0.1?
>
> Have you checked Spark 3.0.1 documentation?
>
> Integrating Spark with Kafka is pretty straight forward. with 3.0.1 and
> higher
>
>
> HTH
>
>
> view my Linkedin profile
> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
>
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>
> On Sun, 6 Jun 2021 at 21:18, Kiran Biswal <bi...@gmail.com> wrote:
>
>> *I am using spark 3.0.1 AND Kafka 0.10 AND Scala 2.12. Getting an error
>> related to KafkaCluster (not found: type KafkaCluster). Is this class
>> deprecated? How do I find a replacement?*
>>
>> *I am upgrading from spark 2.0.1 to spark 3.0.1*
>>
>> *In spark 2.0.1 KafkaCluster was supported*
>>
>> https://spark.apache.org/docs/2.0.1/api/java/org/apache/spark/streaming/kafka/KafkaCluster.html
>>
>> just looking for ideas how to achieve same functionality in spark 3.0.1.
>> Any thoughts and examples will be highly appreciated.
>>
>> Thanks
>> Kiran
>>
>
Re: class KafkaCluster related errors
Posted by Mich Talebzadeh <mi...@gmail.com>.
Hi,
Are you trying to read topics from Kafka in spark 3.0.1?
Have you checked Spark 3.0.1 documentation?
Integrating Spark with Kafka is pretty straight forward. with 3.0.1 and
higher
HTH
view my Linkedin profile
<https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.
On Sun, 6 Jun 2021 at 21:18, Kiran Biswal <bi...@gmail.com> wrote:
> *I am using spark 3.0.1 AND Kafka 0.10 AND Scala 2.12. Getting an error
> related to KafkaCluster (not found: type KafkaCluster). Is this class
> deprecated? How do I find a replacement?*
>
> *I am upgrading from spark 2.0.1 to spark 3.0.1*
>
> *In spark 2.0.1 KafkaCluster was supported*
>
> https://spark.apache.org/docs/2.0.1/api/java/org/apache/spark/streaming/kafka/KafkaCluster.html
>
> just looking for ideas how to achieve same functionality in spark 3.0.1.
> Any thoughts and examples will be highly appreciated.
>
> Thanks
> Kiran
>