Ich versuche, Daten von Rotverschiebung mit Spark-Redshift zu lesen und lief in diesen Fehler. Ich habe die Buckets in S3 erstellt und kann mit ausreichenden Berechtigungen darauf zugreifen.S3-Bucket fehlt Rotverschiebung-Funke
java.sql.SQLException: Amazon Invalid operation: S3ServiceException:The specified bucket does not exist,Status 404,Error NoSuchBucket,Rid AA6E01BF9BCED7ED,ExtRid 7TQKPoWU5lMdJ9av3E0Ehzdgg+e0yRrNYaB5Q+WCef0JPm134XHeiSNk1mx4cdzp,CanRetry 1
Details:
error: S3ServiceException:The specified bucket does not exist,Status 404,Error NoSuchBucket,Rid AA6E01BF9BCED7ED,ExtRid 7TQKPoWU5lMdJ9av3E0Ehzdgg+e0yRrNYaB5Q+WCef0JPm134XHeiSNk1mx4cdzp,CanRetry 1
code: 8001
context: Listing bucket=redshift-spark.s3.amazonaws.com prefix=s3Redshift/3a312209-7d6d-4d6b-bbd4-c1a70b2e136b/
query: 0
location: s3_unloader.cpp:200
process: padbmaster [pid=4952]
-----------------------------------------------;
at com.amazon.redshift.client.messages.inbound.ErrorResponse.toErrorException(ErrorResponse.java:1830)
at com.amazon.redshift.client.PGMessagingContext.handleErrorResponse(PGMessagingContext.java:804)
at com.amazon.redshift.client.PGMessagingContext.handleMessage(PGMessagingContext.java:642)
at com.amazon.jdbc.communications.InboundMessagesPipeline.getNextMessageOfClass(InboundMessagesPipeline.java:312)
at com.amazon.redshift.client.PGMessagingContext.doMoveToNextClass(PGMessagingContext.java:1062)
at com.amazon.redshift.client.PGMessagingContext.getErrorResponse(PGMessagingContext.java:1030)
at com.amazon.redshift.client.PGClient.handleErrorsScenario2ForPrepareExecution(PGClient.java:2417)
at com.amazon.redshift.client.PGClient.handleErrorsPrepareExecute(PGClient.java:2358)
at com.amazon.redshift.client.PGClient.executePreparedStatement(PGClient.java:1358)
at com.amazon.redshift.dataengine.PGQueryExecutor.executePreparedStatement(PGQueryExecutor.java:370)
at com.amazon.redshift.dataengine.PGQueryExecutor.execute(PGQueryExecutor.java:245)
at com.amazon.jdbc.common.SPreparedStatement.executeWithParams(Unknown Source)
at com.amazon.jdbc.common.SPreparedStatement.execute(Unknown Source)
at com.databricks.spark.redshift.JDBCWrapper$$anonfun$executeInterruptibly$1.apply(RedshiftJDBCWrapper.scala:101)
at com.databricks.spark.redshift.JDBCWrapper$$anonfun$executeInterruptibly$1.apply(RedshiftJDBCWrapper.scala:101)
at com.databricks.spark.redshift.JDBCWrapper$$anonfun$2.apply(RedshiftJDBCWrapper.scala:119)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
Ich habe den Eimer in S3 erstellt
Schauen Sie sich an, was es im Kontext sagt: '; Es sieht so aus, als ob du den Bucket richtig gesetzt hast. Im Moment verwendet es Bucket 'redshift-spark.s3.amazonaws.com' – moertel