【发布时间】:2021-01-12 22:41:13
【问题描述】:
我目前正在尝试使用 Spark 3.0.0(通过 Scala 2.12.10 实现)从我设置的 S3 存储桶中进行简单读取。但是,我在提交脚本时收到此错误:
No AWS Credentials provided by BasicAWSCredentialsProvider EnvironmentVariableCredentialsProvider InstanceProfileCredentialsProvider : com.amazonaws.SdkClientException: Unable to load credentials from service endpoint: No AWS Credentials provided by BasicAWSCredentialsProvider EnvironmentVariableCredentialsProvider InstanceProfileCredentialsProvider :
com.amazonaws.SdkClientException: Unable to load credentials from service endpoint
我正在实现当前的 spark 脚本:
package org.knd
import scala.util.Properties
import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.sql.{SparkSession, SQLContext}
import io.delta.tables._
import org.apache.spark.sql.functions._
object App {
def main(args: Array[String]) : Unit = {
val spark = SparkSession
.builder()
.appName("covid-delta-lake")
.master("local")
.config("spark.sql.extensions", "io.delta.sql.DeltaSparkSessionExtension")
.config("spark.sql.catalog.spark_catalog", "org.apache.spark.sql.delta.catalog.DeltaCatalog")
.getOrCreate()
val aws_access_key = scala.util.Properties.envOrElse("AWS_ACCESS_KEY", "notAvailable" )
val aws_secret = scala.util.Properties.envOrElse("AWS_SECRET_ACCESS_KEY_ID", "notAvailable" )
spark.sparkContext.hadoopConfiguration.set("fs.s3a.awsAccessKeyId", aws_access_key)
spark.sparkContext.hadoopConfiguration.set("fs.s3a.awsSecretAccessKey", aws_secret)
spark.sparkContext.hadoopConfiguration.set("fs.s3a.endpoint", "s3.amazonaws.com")
print("\n" + "====================HERE====================" + "\n")
val data = spark.read.parquet("s3a://[url-to-my-s3]/*.parquet")
data.show(10)
}
}
我已经仔细检查了我的 AWS 密钥和 s3 URL,所以我确定这些不是问题。我尝试从其他存储桶中读取并收到相同的错误。我在下面包含了我的 POM 文件:
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>org.knd</groupId>
<artifactId>delta-lake-scala</artifactId>
<version>1.0-SNAPSHOT</version>
<inceptionYear>2020</inceptionYear>
<properties>
<scala.version>2.12.10</scala.version>
</properties>
<repositories>
<repository>
<id>scala-tools.org</id>
<name>Scala-Tools Maven2 Repository</name>
<url>http://scala-tools.org/repo-releases</url>
</repository>
</repositories>
<pluginRepositories>
<pluginRepository>
<id>scala-tools.org</id>
<name>Scala-Tools Maven2 Repository</name>
<url>http://scala-tools.org/repo-releases</url>
</pluginRepository>
</pluginRepositories>
<dependencies>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.12</artifactId>
<version>3.0.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.12</artifactId>
<version>3.0.0</version>
</dependency>
<dependency>
<groupId>io.delta</groupId>
<artifactId>delta-core_2.12</artifactId>
<version>0.7.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>3.0.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>3.0.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-aws</artifactId>
<version>3.0.0</version>
</dependency>
</dependencies>
<build>
<sourceDirectory>src/main/scala</sourceDirectory>
<testSourceDirectory>src/test/scala</testSourceDirectory>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-eclipse-plugin</artifactId>
<configuration>
<downloadSources>true</downloadSources>
<buildcommands>
<buildcommand>ch.epfl.lamp.sdt.core.scalabuilder</buildcommand>
</buildcommands>
<additionalProjectnatures>
<projectnature>ch.epfl.lamp.sdt.core.scalanature</projectnature>
</additionalProjectnatures>
<classpathContainers>
<classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINER</classpathContainer>
<classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINER</classpathContainer>
</classpathContainers>
</configuration>
</plugin>
</plugins>
</build>
<reporting>
<plugins>
</plugins>
</reporting>
</project>
【问题讨论】:
-
您使用的环境变量和 scala 属性与此处推荐的略有不同:您是否尝试更改环境变量和/或 hadoop 配置以匹配:infoobjects.com/2016/02/27/…
标签: amazon-web-services scala apache-spark amazon-s3 apache-spark-sql