我正在构建一个库,用于从云存储中获取加密的秘密(在 Scala 中,使用 Java 客户端)。我正在使用以下谷歌库:
"com.google.apis" % "google-api-services-cloudkms" % "v1-rev26-1.23.0" exclude("com.google.guava", "guava-jdk5"),
"com.google.cloud" % "google-cloud-storage" % "1.14.0",
在本地一切正常,但是当我尝试在 Dataproc 中运行我的代码时,出现以下错误:
Exception in thread "main" java.lang.NoSuchMethodError: com.google.api.client.googleapis.services.json.AbstractGoogleJsonClient$Builder.setBatchPath(Ljava/lang/String;)Lcom/google/api/client/googleapis/services/AbstractGoogleClient$Builder;
at com.google.api.services.cloudkms.v1.CloudKMS$Builder.setBatchPath(CloudKMS.java:4250)
at com.google.api.services.cloudkms.v1.CloudKMS$Builder.<init>(CloudKMS.java:4229)
at gcp.encryption.EncryptedSecretsUser$class.clients(EncryptedSecretsUser.scala:111)
at gcp.encryption.EncryptedSecretsUser$class.getEncryptedSecrets(EncryptedSecretsUser.scala:62)
我的代码中的违规行是:
val kms: CloudKMS = new CloudKMS.Builder(credential.getTransport,
credential.getJsonFactory,
credential)
.setApplicationName("Encrypted Secrets User")
.build()
我在文档中看到 Dataproc 上提供了一些谷歌库(我使用的是带有映像版本 1.2.15 的 Spark 集群)。但据我所见,google-api-client 的传递依赖与我在本地使用的相同(1.23.0)。那怎么找不到方法呢?
为了在 Dataproc 上运行,我是否应该设置不同的依赖项?
编辑
最后设法在另一个项目中解决了这个问题。事实证明,除了着色所有 google 依赖项(包括 gcs-connector !!),您还必须向 JVM 注册您的着色类以处理 gs:// 文件系统。下面是适用于我的 maven 配置,可以使用 sbt 实现类似的功能:
父 POM:
<project xmlns="http://maven.apache.org/POM/4.0.0"...>
...
<properties>
<!-- Spark version -->
<spark.version>[2.2.1]</spark.version>
<!-- Jackson-libs version pulled in by spark -->
<jackson.version>[2.6.5]</jackson.version>
<!-- Avro version pulled in by jackson -->
<avro.version>[1.7.7]</avro.version>
<!-- Kryo-shaded version pulled in by spark -->
<kryo.version>[3.0.3]</kryo.version>
<!-- Apache commons-lang version pulled in by spark -->
<commons.lang.version>2.6</commons.lang.version>
<!-- TODO: need to shade google libs because of version-conflicts on Dataproc. Remove this when Dataproc 1.3/2.0 is released -->
<bigquery-conn.version>[0.10.6-hadoop2]</bigquery-conn.version>
<gcs-conn.version>[1.6.5-hadoop2]</gcs-conn.version>
<google-storage.version>[1.29.0]</google-storage.version>
<!-- The guava version we want to use -->
<guava.version>[23.2-jre]</guava.version>
<!-- The google api version used by the google-cloud-storage lib -->
<api-client.version>[1.23.0]</api-client.version>
<!-- The google-api-services-storage version used by the google-cloud-storage lib -->
<storage-api.version>[v1-rev114-1.23.0]</storage-api.version>
<!-- Picked up by compiler and resource plugins -->
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
...
<build>
<pluginManagement>
<plugins>
...
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>3.1.1</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<minimizeJar>true</minimizeJar>
<filters>
<filter>
<artifact>com.google.**:*</artifact>
<includes>
<include>**</include>
</includes>
</filter>
<filter>
<artifact>com.google.cloud.bigdataoss:gcs-connector</artifact>
<excludes>
<!-- Register a provider with the shaded name instead-->
<exclude>META-INF/services/org.apache.hadoop.fs.FileSystem</exclude>
</excludes>
</filter>
</filters>
<artifactSet>
<includes>
<include>com.google.*:*</include>
</includes>
<excludes>
<exclude>com.google.code.findbugs:jsr305</exclude>
</excludes>
</artifactSet>
<relocations>
<relocation>
<pattern>com.google</pattern>
<shadedPattern>com.shaded.google</shadedPattern>
</relocation>
</relocations>
</configuration>
</execution>
</executions>
</plugin>
...
</plugins>
</build>
<dependencyManagement>
<dependencies>
<dependency>
...
<groupId>com.google.cloud.bigdataoss</groupId>
<artifactId>gcs-connector</artifactId>
<version>${gcs-conn.version}</version>
<exclusions>
<!-- conflicts with Spark dependencies -->
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
</exclusion>
<!-- conflicts with Spark dependencies -->
<exclusion>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-mapreduce-client-core</artifactId>
</exclusion>
<exclusion>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<!-- Avoid conflict with the version pulled in by the GCS-connector on Dataproc -->
<groupId>com.google.apis</groupId>
<artifactId>google-api-services-storage</artifactId>
<version>${storage-api.version}</version>
</dependency>
<dependency>
<groupId>commons-lang</groupId>
<artifactId>commons-lang</artifactId>
<version>${commons.lang.version}</version>
</dependency>
<dependency>
<groupId>com.esotericsoftware</groupId>
<artifactId>kryo-shaded</artifactId>
<version>${kryo.version}</version>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
<version>${jackson.version}</version>
</dependency>
<dependency>
<groupId>com.google.api-client</groupId>
<artifactId>google-api-client</artifactId>
<version>${api-client.version}</version>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>${guava.version}</version>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-storage</artifactId>
<version>${google-storage.version}</version>
<exclusions>
<!-- conflicts with Spark dependencies -->
<exclusion>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
</dependency>
...
</dependencies>
...
</project>
子 POM:
<dependencies>
<!-- Libraries available on dataproc -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>com.google.cloud.bigdataoss</groupId>
<artifactId>gcs-connector</artifactId>
</dependency>
<dependency>
<groupId>com.esotericsoftware</groupId>
<artifactId>kryo-shaded</artifactId>
<scope>provided</scope><!-- Pulled in by spark -->
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
<scope>provided</scope><!-- Pulled in by spark -->
</dependency>
</dependencies>
并添加一个名为org.apache.hadoop.fs.FileSystem
under的文件path/to/your-project/src/main/resources/META-INF/services
,其中包含您的着色类的名称,例如:
# WORKAROUND FOR DEPENDENCY CONFLICTS ON DATAPROC
#
# Use the shaded class as a provider for the gs:// file system
#
com.shaded.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem
(注意这个文件是从gcs-connector
父 POM 的库中过滤出来的)