我正试图通过kafka连接器将467个主题的2797个分区推送到snowflake，而(2个任务(kafka的连接器则用轰炸
[2020-03-08 10:13:10,884] ERROR WorkerSinkTask{id=snowflake-1} Task threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerTask)
java.lang.OutOfMemoryError: unable to create native thread: possibly out of memory or process/resource limits reached
at java.base/java.lang.Thread.start0(Native Method)
at java.base/java.lang.Thread.start(Thread.java:803)
at java.base/java.util.concurrent.ThreadPoolExecutor.addWorker(ThreadPoolExecutor.java:937)
at java.base/java.util.concurrent.ThreadPoolExecutor.ensurePrestart(ThreadPoolExecutor.java:1583)
at java.base/java.util.concurrent.ScheduledThreadPoolExecutor.delayedExecute(ScheduledThreadPoolExecutor.java:346)
at java.base/java.util.concurrent.ScheduledThreadPoolExecutor.scheduleAtFixedRate(ScheduledThreadPoolExecutor.java:632)
at net.snowflake.ingest.connection.SecurityManager.<init>(SecurityManager.java:105)
at net.snowflake.ingest.connection.SecurityManager.<init>(SecurityManager.java:120)
at net.snowflake.ingest.connection.RequestBuilder.<init>(RequestBuilder.java:216)
at net.snowflake.ingest.SimpleIngestManager.<init>(SimpleIngestManager.java:353)
at com.snowflake.kafka.connector.internal.SnowflakeIngestionServiceV1.<init>(SnowflakeIngestionServiceV1.java:41)
at com.snowflake.kafka.connector.internal.SnowflakeIngestionServiceFactory$SnowflakeIngestionServiceBuilder.<init>(SnowflakeIngestionServiceFactory.java:35)
at com.snowflake.kafka.connector.internal.SnowflakeIngestionServiceFactory$SnowflakeIngestionServiceBuilder.<init>(SnowflakeIngestionServiceFactory.java:25)
at com.snowflake.kafka.connector.internal.SnowflakeIngestionServiceFactory.builder(SnowflakeIngestionServiceFactory.java:18)
at com.snowflake.kafka.connector.internal.SnowflakeConnectionServiceV1.buildIngestService(SnowflakeConnectionServiceV1.java:681)
at com.snowflake.kafka.connector.internal.SnowflakeSinkServiceV1$ServiceContext.<init>(SnowflakeSinkServiceV1.java:271)
at com.snowflake.kafka.connector.internal.SnowflakeSinkServiceV1$ServiceContext.<init>(SnowflakeSinkServiceV1.java:232)
at com.snowflake.kafka.connector.internal.SnowflakeSinkServiceV1.startTask(SnowflakeSinkServiceV1.java:70)
at com.snowflake.kafka.connector.SnowflakeSinkTask.lambda$open$2(SnowflakeSinkTask.java:168)
at java.base/java.lang.Iterable.forEach(Iterable.java:75)
at com.snowflake.kafka.connector.SnowflakeSinkTask.open(SnowflakeSinkTask.java:168)
at org.apache.kafka.connect.runtime.WorkerSinkTask.openPartitions(WorkerSinkTask.java:586)
at org.apache.kafka.connect.runtime.WorkerSinkTask.access$1100(WorkerSinkTask.java:67)
at org.apache.kafka.connect.runtime.WorkerSinkTask$HandleRebalance.onPartitionsAssigned(WorkerSinkTask.java:651)
at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.onJoinComplete(ConsumerCoordinator.java:285)
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.joinGroupIfNeeded(AbstractCoordinator.java:424)
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.ensureActiveGroup(AbstractCoordinator.java:358)
at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.poll(ConsumerCoordinator.java:353)
at org.apache.kafka.clients.consumer.KafkaConsumer.updateAssignmentMetadataIfNeeded(KafkaConsumer.java:1251)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1216)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1201)
at org.apache.kafka.connect.runtime.WorkerSinkTask.pollConsumer(WorkerSinkTask.java:443)
at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:316)
at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:224)
at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:192)
at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:177)
at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:227)
at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:834)
[2020-03-08 10:13:10,885] ERROR WorkerSinkTask{id=snowflake-1} Task is being killed and will not recover until manually restarted (org.apache.kafka.connect.runtime.WorkerTask)
我的虚拟机在资源方面似乎还可以，因此我怀疑内部的雪管限制在向我吐口水；还有其他想法吗？
Kafka connect默认为2G的堆空间。
如果你想在这么多的主题和分区中使用一个虚拟机，这似乎是个坏主意。
创建连接群集。分配工作负载