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Posted to issues@spark.apache.org by "Thomas Graves (Jira)" <ji...@apache.org> on 2020/09/08 15:23:00 UTC
[jira] [Created] (SPARK-32824) The error is confusing when resource
.amount not provided
Thomas Graves created SPARK-32824:
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Summary: The error is confusing when resource .amount not provided
Key: SPARK-32824
URL: https://issues.apache.org/jira/browse/SPARK-32824
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 3.0.0
Reporter: Thomas Graves
If the user forgets to specify the .amount when specifying a resource, the error that comes out is confusing, we should improve.
$ $SPARK_HOME/bin/spark-shell --master spark://host9:7077 --conf spark.executor.resource.gpu=1
{code:java}
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.propertiesSetting default log level to "WARN".To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).20/09/08 08:19:35 ERROR SparkContext: Error initializing SparkContext.java.lang.StringIndexOutOfBoundsException: String index out of range: -1 at java.lang.String.substring(String.java:1967) at org.apache.spark.resource.ResourceUtils$.$anonfun$listResourceIds$1(ResourceUtils.scala:151) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:238) at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36) at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33) at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198) at scala.collection.TraversableLike.map(TraversableLike.scala:238) at scala.collection.TraversableLike.map$(TraversableLike.scala:231) at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198) at org.apache.spark.resource.ResourceUtils$.listResourceIds(ResourceUtils.scala:150) at org.apache.spark.resource.ResourceUtils$.parseAllResourceRequests(ResourceUtils.scala:158) at org.apache.spark.SparkContext$.checkResourcesPerTask$1(SparkContext.scala:2773) at org.apache.spark.SparkContext$.org$apache$spark$SparkContext$$createTaskScheduler(SparkContext.scala:2884) at org.apache.spark.SparkContext.<init>(SparkContext.scala:528) at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2555) at org.apache.spark.sql.SparkSession$Builder.$anonfun$getOrCreate$1(SparkSession.scala:930) at scala.Option.getOrElse(Option.scala:189) at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:921) at org.apache.spark.repl.Main$.createSparkSession(Main.scala:106) at $line3.$read$$iw$$iw.<init>(<console>:15) at $line3.$read$$iw.<init>(<console>:42) at $line3.$read.<init>(<console>:44){code}
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