问题
I'm trying to read CSV files which are on s3 bucket which is located in Mumbai Region.I'm trying to read the files using datastax dse spark-submit.
I tried changing hadoop-aws version to various other versions. Currently, hadoop-aws version is 2.7.3
spark.sparkContext.hadoopConfiguration.set("com.amazonaws.services.s3.enableV4", "true")
spark.sparkContext.hadoopConfiguration.set("fs.s3a.endpoint", "s3.ap-south-1.amazonaws.com")
spark.sparkContext.hadoopConfiguration.set("fs.s3a.access.key", accessKeyId)
spark.sparkContext.hadoopConfiguration.set("fs.s3a.secret.key", secretAccessKey)
spark.sparkContext.hadoopConfiguration.set("fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem")
val df = spark.read.csv("s3a://bucket_path/csv_name.csv")
Upon Executing, Following is the error which I'm getting,
Exception in thread "main" com.amazonaws.services.s3.model.AmazonS3Exception: Status Code: 400, AWS Service: Amazon S3, AWS Request ID: 8C7D34A38E359FCE, AWS Error Code: null, AWS Error Message: Bad Request at com.amazonaws.http.AmazonHttpClient.handleErrorResponse(AmazonHttpClient.java:798) at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:421) at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:232) at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3528) at com.amazonaws.services.s3.AmazonS3Client.headBucket(AmazonS3Client.java:1031) at com.amazonaws.services.s3.AmazonS3Client.doesBucketExist(AmazonS3Client.java:994) at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:297) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2653) at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:92) at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2687) at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2669) at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:371) at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295) at org.apache.spark.sql.execution.datasources.DataSource$.org$apache$spark$sql$execution$datasources$DataSource$$checkAndGlobPathIfNecessary(DataSource.scala:616) at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:350) at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$14.apply(DataSource.scala:350) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241) at scala.collection.immutable.List.foreach(List.scala:392) at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241) at scala.collection.immutable.List.flatMap(List.scala:355) at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:349) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178) at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:533) at org.apache.spark.sql.DataFrameReader.csv(DataFrameReader.scala:412)
回答1:
Your signature V4 option is not applied. See This
Add the java option when you run the spark-submit or spark-shell.
spark.executor.extraJavaOptions=-Dcom.amazonaws.services.s3.enableV4=true
spark.driver.extraJavaOptions=-Dcom.amazonaws.services.s3.enableV4=true
Or, set the system property such as:
System.setProperty("com.amazonaws.services.s3.enableV4", "true");
回答2:
Thank you for all the help. I figured out from the answer of Lamanus that signature V4 option was not applied even after adding it in
spark.sparkContext.hadoopConfiguration.set("com.amazonaws.services.s3.enableV4", "true")
So I added the following line and now the code works perfectly fine.
import com.amazonaws.SDKGlobalConfiguration
System.setProperty(SDKGlobalConfiguration.ENABLE_S3_SIGV4_SYSTEM_PROPERTY, "true")
来源：https://stackoverflow.com/questions/57477385/read-files-from-s3-bucket-to-spark-dataframe-using-scala-in-datastax-spark-submi