azure - Databricks 笔记本因内存作业而崩溃

Question

我运行了一些操作来在 azure databricks 上聚合大量数据(约 600GB)。我最近注意到笔记本崩溃并且数据 block 返回以下错误。相同的代码之前适用于较小的 6 节点集群。将其升级到 12 个节点后，我开始遇到此问题，我怀疑这是一个配置问题。

请帮忙，我使用默认的 Spark 配置，分区数=200，我的节点上有 88 个执行程序。

Thanks
Internal error, sorry. Attach your notebook to a different cluster or restart the current cluster.
java.lang.RuntimeException: abort: DriverClient destroyed
    at com.databricks.backend.daemon.driver.DriverClient.$anonfun$poll$3(DriverClient.scala:381)
    at scala.concurrent.Future.$anonfun$flatMap$1(Future.scala:307)
    at scala.concurrent.impl.Promise.$anonfun$transformWith$1(Promise.scala:41)
    at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
    at com.databricks.threading.NamedExecutor$$anon$2.$anonfun$run$1(NamedExecutor.scala:335)
    at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
    at com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:238)
    at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
    at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:233)
    at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:230)
    at com.databricks.threading.NamedExecutor.withAttributionContext(NamedExecutor.scala:265)
    at com.databricks.threading.NamedExecutor$$anon$2.run(NamedExecutor.scala:335)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)

Answer 1

我不确定成本影响，但如何在集群上启用自动缩放选项并增加最大工作线程数。您也可以尝试更改 Worker Type 以获得更好的资源