Here it is
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>2.8.0</version>
</dependency>
On Tue, Feb 1, 2022 at 8:53 AM Alexey Romanenko <aromanenko....@gmail.com>
wrote:
> Hmm, this is strange. Which version of Kafka client do you use while
> running it with Beam?
>
> On 1 Feb 2022, at 16:56, Utkarsh Parekh <utkarsh.s.par...@gmail.com>
> wrote:
>
> Hi Alexey,
>
> First of all, thank you for the response! Yes I did have it in Consumer
> configuration and try to increase "session.timeout".
>
> From consumer side so far I've following settings:
>
> props.put("sasl.mechanism", SASL_MECHANISM);
> props.put("security.protocol", SECURITY_PROTOCOL);
> props.put("sasl.jaas.config", saslJaasConfig);
> props.put("request.timeout.ms", 60000);
> props.put("session.timeout.ms", 60000);
> props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, AUTO_OFFSET_RESET_CONFIG);
> props.put(ConsumerConfig.GROUP_ID_CONFIG, consumerGroup);
>
>
> It works fine using following code in Databricks Notebook. The problem has
> been occurring when I run it through Apache beam and KafkaIO (Just
> providing more context if that may help you to understand problem)
>
> val df = spark.readStream
> .format("kafka")
> .option("subscribe", TOPIC)
> .option("kafka.bootstrap.servers", BOOTSTRAP_SERVERS)
> .option("kafka.sasl.mechanism", "PLAIN")
> .option("kafka.security.protocol", "SASL_SSL")
> .option("kafka.sasl.jaas.config", EH_SASL)
> .option("kafka.request.timeout.ms", "60000")
> .option("kafka.session.timeout.ms", "60000")
> .option("failOnDataLoss", "false")
> //.option("kafka.group.id", "testsink")
> .option("startingOffsets", "latest")
> .load()
>
> Utkarsh
>
> On Tue, Feb 1, 2022 at 6:20 AM Alexey Romanenko <aromanenko....@gmail.com>
> wrote:
>
>> Hi Utkarsh,
>>
>> Can it be related to this configuration problem?
>>
>> https://docs.microsoft.com/en-us/azure/event-hubs/apache-kafka-troubleshooting-guide#no-records-received
>>
>> Did you check timeout settings?
>>
>> —
>> Alexey
>>
>>
>> On 1 Feb 2022, at 02:27, Utkarsh Parekh <utkarsh.s.par...@gmail.com>
>> wrote:
>>
>> Hello,
>>
>> I'm doing POC with KafkaIO and spark runner on Azure Databricks. I'm
>> trying to create a simple streaming app with Apache Beam, where it reads
>> data from an Azure event hub and produces messages into another Azure event
>> hub.
>>
>> I'm creating and running spark jobs on Azure Databricks.
>>
>> The problem is the consumer (uses SparkRunner) is not able to read data
>> from Event hub (queue). There is no activity and no errors on the Spark
>> cluster.
>>
>> I would appreciate it if anyone could help to fix this issue.
>>
>> Thank you
>>
>> Utkarsh
>>
>>
>>
>
