[
https://issues.apache.org/jira/browse/SPARK-22782?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
licun updated SPARK-22782:
--------------------------
Description:
We use spark structured streaming to consumer kafka, but we find the
consumer speed is too slow compare spark streaming . we set kafka
"maxOffsetsPerTrigger": 100000000.
By adding debug log in CachedKafkaConsumer.scala (kafka-0-10-sql), we found
the following situation:
The debug code:
{code:scala}
private def poll(pollTimeoutMs: Long): Unit = {
val startTime = System.currentTimeMillis()
val p = consumer.poll(pollTimeoutMs)
val r = p.records(topicPartition)
val endTime = System.currentTimeMillis()
val delta = endTime - startTime
logError(s"Polled $groupId ${p.partitions()}, Size:${r.size}, spend:
${delta} ms")
fetchedData = r.iterator
}
{code}
was:
We use spark structured streaming to consumer kafka, but we find the
consumer speed is too slow compare spark streaming . we set kafka
"maxOffsetsPerTrigger": 100000000.
By adding debug log in CachedKafkaConsumer.scala (kafka-0-10-sql), we found
the following situation:
The debug code:
{color:red}private def poll(pollTimeoutMs: Long): Unit = {
val startTime = System.currentTimeMillis()
val p = consumer.poll(pollTimeoutMs)
val r = p.records(topicPartition)
val endTime = System.currentTimeMillis()
val delta = endTime - startTime
logError(s"Polled $groupId ${p.partitions()}, Size:${r.size}, spend:
${delta} ms")
fetchedData = r.iterator
}{color}
> Boost speed, use kafka010 consumer kafka
> ----------------------------------------
>
> Key: SPARK-22782
> URL: https://issues.apache.org/jira/browse/SPARK-22782
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 2.1.0, 2.2.0
> Environment: kafka-version: 0.10
> spark-version: 2.2.0
> schedule spark on yarn
> Reporter: licun
> Priority: Critical
>
> We use spark structured streaming to consumer kafka, but we find the
> consumer speed is too slow compare spark streaming . we set kafka
> "maxOffsetsPerTrigger": 100000000.
> By adding debug log in CachedKafkaConsumer.scala (kafka-0-10-sql), we
> found the following situation:
>
> The debug code:
>
> {code:scala}
> private def poll(pollTimeoutMs: Long): Unit = {
> val startTime = System.currentTimeMillis()
> val p = consumer.poll(pollTimeoutMs)
> val r = p.records(topicPartition)
> val endTime = System.currentTimeMillis()
> val delta = endTime - startTime
> logError(s"Polled $groupId ${p.partitions()}, Size:${r.size}, spend:
> ${delta} ms")
> fetchedData = r.iterator
> }
> {code}
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