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Posted to issues@kudu.apache.org by "Grant Henke (Jira)" <ji...@apache.org> on 2020/10/26 13:23:00 UTC

[jira] [Assigned] (KUDU-3205) NPE in KuduScanTokenBuilder#build after a tablet server goes down

     [ https://issues.apache.org/jira/browse/KUDU-3205?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Grant Henke reassigned KUDU-3205:
---------------------------------

    Assignee: Grant Henke

> NPE in KuduScanTokenBuilder#build after a tablet server goes down
> -----------------------------------------------------------------
>
>                 Key: KUDU-3205
>                 URL: https://issues.apache.org/jira/browse/KUDU-3205
>             Project: Kudu
>          Issue Type: Bug
>          Components: spark
>    Affects Versions: 1.13.0
>            Reporter: Junegunn Choi
>            Assignee: Grant Henke
>            Priority: Major
>
> When a tablet server goes down while running a query on Spark, the connection becomes unusable due to the cached tablet locations that have become stale.
> h2. Steps to reproduce
> h3. Start spark-shell with kudu-spark2 1.13.0
> The problem is not reproducible with kudu-spark2 1.12.0 or below, because it was introduced in [KUDU-1802 |https://github.com/apache/kudu/commit/d23ee5d38ddc4317f431dd65df0c825c00cc968a].
> h3. Run a scan query
> {code:scala}
> import org.apache.kudu.spark.kudu._
> val dummy = spark.read.options(Map("kudu.master" -> kuduMasters, "kudu.table" -> "dummy")).kudu
> dummy.createOrReplaceTempView("dummy")
> spark.sql("select sum(id), min(val2), max(val2), count(*) from dummy").show
> {code}
> h3. Kill a tablet server
> Kill one of the tablet servers that are serving data for the query. The query should fail immediately.
> {noformat}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 0.0 failed 1 times, most recent failure: Lost task 2.0 in stage 0.0 (TID 2, localhost, executor driver): java.lang.RuntimeException: org.apache.kudu.client.NonRecoverableException: Scanner *** not found (it may have expired)
> {noformat}
> h3. Re-run the query
> {code:scala}
> spark.sql("select sum(id), min(val2), max(val2), count(*) from dummy").show
> {code}
> Doesn't work, fails with an NPE.
> {noformat}
> Caused by: java.lang.RuntimeException: java.lang.NullPointerException
>   at org.apache.kudu.client.KuduScanToken$KuduScanTokenBuilder.build(KuduScanToken.java:697)
>   at org.apache.kudu.spark.kudu.KuduRDD.getPartitions(KuduRDD.scala:95)
>   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
>   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
>   at scala.Option.getOrElse(Option.scala:121)
>   at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
>   at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
>   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
>   at scala.Option.getOrElse(Option.scala:121)
>   at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
>   at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
>   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
>   at scala.Option.getOrElse(Option.scala:121)
>   at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
>   at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
>   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
>   at scala.Option.getOrElse(Option.scala:121)
>   at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
>   at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
>   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
>   at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
>   at scala.Option.getOrElse(Option.scala:121)
>   at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
>   at org.apache.spark.ShuffleDependency.<init>(Dependency.scala:94)
>   at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$.prepareShuffleDependency(ShuffleExchangeExec.scala:323)
>   at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.prepareShuffleDependency(ShuffleExchangeExec.scala:91)
>   at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:128)
>   at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:119)
>   at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
>   ... 86 more
> Caused by: java.lang.NullPointerException
>   at org.apache.kudu.client.KuduScanToken$KuduScanTokenBuilder.build(KuduScanToken.java:674)
>   ... 117 more
> {noformat}
> Re-creating the DataFrame doesn't help:
> {code:scala}
> val dummy = spark.read.options(Map("kudu.master" -> kuduMasters, "kudu.table" -> "dummy")).kudu
> dummy.createOrReplaceTempView("dummy")
> // Still fails with an NPE
> spark.sql("select sum(id), min(val2), max(val2), count(*) from dummy").show
> {code}
> h2. Cause
> {code:java|title=KuduScanToken.java:666}
> // Build the list of replica metadata.
> List<Client.TabletMetadataPB.ReplicaMetadataPB> replicas = new ArrayList<>();
> for (LocatedTablet.Replica replica : remoteTablet.getReplicas()) {
>   Integer serverIndex = serverIndexMap.get(
>       new HostAndPort(replica.getRpcHost(), replica.getRpcPort()));
>   Client.TabletMetadataPB.ReplicaMetadataPB.Builder tabletMetadataBuilder =
>       Client.TabletMetadataPB.ReplicaMetadataPB.newBuilder()
>           .setRole(replica.getRoleAsEnum())
>           .setTsIdx(serverIndex);
>   if (replica.getDimensionLabel() != null) {
>     tabletMetadataBuilder.setDimensionLabel(replica.getDimensionLabel());
>   }
>   replicas.add(tabletMetadataBuilder.build());
> }
> {code}
> {{serverIndex}} can be null here, because we're using the cached tablet locations that are stale now ({{TableLocationsCache.Entry}}).
> h2. Workarounds
>  - Restart Spark shell
>  - Wait until the connection becomes idle and cleaned up
> {noformat}
> DEBUG Connection: [peer master-***] handling channelInactive
> DEBUG Connection: [peer master-***] cleaning up while in state READY due to: connection closed
> {noformat}
>  - Use kudu-spark2 1.12.0 or below



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