Ok. I will work on creating a reproducible app. Thanks.
On Wed, Jan 13, 2021 at 3:57 PM Gabor Somogyi <gabor.g.somo...@gmail.com>
wrote:
> Just reached this thread. +1 on to create a simple reproducer app and I
> suggest to create a jira attaching the full driver and executor logs.
> Ping me on the jira and I'll pick this up right away...
>
> Thanks!
>
> G
>
>
> On Wed, Jan 13, 2021 at 8:54 AM Jungtaek Lim <kabhwan.opensou...@gmail.com>
> wrote:
>
>> Would you mind if I ask for a simple reproducer? Would be nice if you
>> could create a repository in Github and push the code including the build
>> script.
>>
>> Thanks in advance!
>>
>> On Wed, Jan 13, 2021 at 3:46 PM Eric Beabes <mailinglist...@gmail.com>
>> wrote:
>>
>>> I tried both. First tried 3.0.0. That didn't work so I tried 3.1.0.
>>>
>>> On Wed, Jan 13, 2021 at 11:35 AM Jungtaek Lim <
>>> kabhwan.opensou...@gmail.com> wrote:
>>>
>>>> Which exact Spark version did you use? Did you make sure the version
>>>> for Spark and the version for spark-sql-kafka artifact are the same? (I
>>>> asked this because you've said you've used Spark 3.0 but spark-sql-kafka
>>>> dependency pointed to 3.1.0.)
>>>>
>>>> On Tue, Jan 12, 2021 at 11:04 PM Eric Beabes <mailinglist...@gmail.com>
>>>> wrote:
>>>>
>>>>> org.apache.spark.sql.streaming.StreamingQueryException: Data source v2
>>>>> streaming sinks does not support Update mode. === Streaming Query ===
>>>>> Identifier: [id = 1f342043-29de-4381-bc48-1c6eef99232e, runId =
>>>>> 62410f05-db59-4026-83fc-439a79b01c29] Current Committed Offsets: {}
>>>>> Current
>>>>> Available Offsets: {} Current State: INITIALIZING Thread State: RUNNABLE
>>>>> at
>>>>> org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:353)
>>>>> at
>>>>> org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:244)
>>>>> Caused by: java.lang.IllegalArgumentException: Data source v2 streaming
>>>>> sinks does not support Update mode. at
>>>>> org.apache.spark.sql.execution.streaming.StreamExecution.createStreamingWrite(StreamExecution.scala:635)
>>>>> at
>>>>> org.apache.spark.sql.execution.streaming.MicroBatchExecution.logicalPlan$lzycompute(MicroBatchExecution.scala:130)
>>>>> at
>>>>> org.apache.spark.sql.execution.streaming.MicroBatchExecution.logicalPlan(MicroBatchExecution.scala:61)
>>>>> at
>>>>> org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:320)
>>>>> ... 1 more
>>>>>
>>>>>
>>>>> *Please see the attached image for more information.*
>>>>>
>>>>>
>>>>> On Tue, Jan 12, 2021 at 6:01 PM Jacek Laskowski <ja...@japila.pl>
>>>>> wrote:
>>>>>
>>>>>> Hi,
>>>>>>
>>>>>> Can you post the whole message? I'm trying to find what might be
>>>>>> causing it. A small reproducible example would be of help too. Thank you.
>>>>>>
>>>>>> Pozdrawiam,
>>>>>> Jacek Laskowski
>>>>>> ----
>>>>>> https://about.me/JacekLaskowski
>>>>>> "The Internals Of" Online Books <https://books.japila.pl/>
>>>>>> Follow me on https://twitter.com/jaceklaskowski
>>>>>>
>>>>>> <https://twitter.com/jaceklaskowski>
>>>>>>
>>>>>>
>>>>>> On Tue, Jan 12, 2021 at 6:35 AM Eric Beabes <mailinglist...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Trying to port my Spark 2.4 based (Structured) streaming application
>>>>>>> to Spark 3.0. I compiled it using the dependency given below:
>>>>>>>
>>>>>>> <dependency>
>>>>>>> <groupId>org.apache.spark</groupId>
>>>>>>>
>>>>>>> <artifactId>spark-sql-kafka-0-10_${scala.binary.version}</artifactId>
>>>>>>> <version>3.1.0</version>
>>>>>>> </dependency>
>>>>>>>
>>>>>>>
>>>>>>> Every time I run it under Spark 3.0, I get this message: *Data
>>>>>>> source v2 streaming sinks does not support Update mode*
>>>>>>>
>>>>>>> I am using '*mapGroupsWithState*' so as per this link (
>>>>>>> https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#output-modes),
>>>>>>> the only supported Output mode is "*Update*".
>>>>>>>
>>>>>>> My Sink is a Kafka topic so I am using this:
>>>>>>>
>>>>>>> .writeStream
>>>>>>> .format("kafka")
>>>>>>>
>>>>>>>
>>>>>>> What am I missing?
>>>>>>>
>>>>>>>
>>>>>>>
>>>>> ---------------------------------------------------------------------
>>>>> To unsubscribe e-mail: user-unsubscr...@spark.apache.org
>>>>
>>>>
