rionmonster opened a new pull request #13975:
URL: https://github.com/apache/beam/pull/13975


   At present, the `WriteRecords` transform for KafkaIO does not recognize the 
`partition` property defined on `ProducerRecord` instances consumed by the 
transform:
   
   ```
   producer.send(
           // The null property in the following constructor represents 
partition
           new ProducerRecord<>(
               topicName, null, timestampMillis, record.key(), record.value(), 
record.headers()),
           new SendCallback());
   ```
   
   Because of this limitation, in a scenario where a user may desire an 
explicitly defined partitioning strategy as opposed to round-robin, they would 
have to create their own custom `DoFn` that defines a KafkaProducer (preferably 
within a @StartBundle) similar to the following approach (in Kotlin):
   
   ```
   private class ExampleProducerDoFn(...): DoFn<...>() {
           private lateinit var producer: KafkaProducer<...>
   
           @StartBundle
           fun startBundle(context: StartBundleContext) {
               val options = 
context.pipelineOptions.`as`(YourPipelineOptions::class.java)
               producer = getKafkaProducer(options)
           }
   
           @ProcessElement
           fun processElement(context: ProcessContext){
               // Omitted for brevity
               
               // Produce the record to a specific topic at a specific partition
               producer.send(ProducerRecord(
                   "your_topic_here",
                   your_partition_here,
                   context.element().kv.key,
                   context.element().kv.value
               ))
           }
   ```
   
   The _initial_ pull request that I threw in here simply replaces the existing 
`null` with the `record.partition()` (i.e. the record that was explicitly 
defined initially, but it may require some other changes which I'd need someone 
more familiar with the KafkaIO source to chime in on.
   
   Additionally, I created [a corresponding JIRA 
ticket](https://issues.apache.org/jira/browse/BEAM-11806), which any feedback 
would be appreciated on as well.
   
   ------------------------
   
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