我正在使用Databricks Connect从IntelliJ IDEA(Scala)在本地Azure Databricks群集中运行代码。
一切正常。我可以在IDE中本地连接,调试和检查。
我创建了一个Databricks作业来运行我的自定义应用程序JAR,但由于以下异常而失败:
19/08/17 19:20:26 ERROR Uncaught throwable from user code: java.lang.NoClassDefFoundError: com/databricks/service/DBUtils$
at Main$.<init>(Main.scala:30)
at Main$.<clinit>(Main.scala)
我的Main.scala类的第30行是
val dbutils: DBUtils.type = com.databricks.service.DBUtils
就像this documentation page上的描述一样
该页面显示了一种访问在本地和群集中均可使用的DBUtil的方法。但是该示例仅显示了Python,而我正在使用Scala。
以既可以使用databricks-connect在本地工作又可以在运行JAR的Databricks Job中工作的方式访问它的正确方法是什么?
更新
似乎有两种使用DBUtils的方法。
1)DbUtils类描述了here。
引用文档,此库允许您构建和编译项目,但不能运行它。这不允许您在集群上运行本地代码。
2)Databricks Connect描述了here。这使您可以在Databricks群集中运行本地Spark代码。
问题在于这两种方法具有不同的设置和程序包名称。似乎没有一种在本地使用Databricks Connect的方法(在群集中不可用),但是随后通过sbt/maven添加了使用DbUtils类的jar应用程序,以便群集可以访问它。
最佳答案
我不知道the docs you mentioned为什么不起作用。也许您正在使用其他依赖项?
These docs有一个示例应用程序,您可以download。这是一个经过最少测试的项目,因此它不会创建作业或尝试在集群上运行它们-但这只是一个开始。另外,请注意,它使用了较旧的0.0.1
的dbutils-api
版本。
因此,要解决当前问题,请尝试从其他位置导入com.databricks.service.DBUtils
,而不要使用dbutils
:
import com.databricks.dbutils_v1.DBUtilsHolder.dbutils
或者,如果您愿意:
import com.databricks.dbutils_v1.{DBUtilsV1, DBUtilsHolder}
type DBUtils = DBUtilsV1
val dbutils: DBUtils = DBUtilsHolder.dbutils
另外,请确保您在SBT中具有以下依赖项(如果
0.0.3
不起作用,则可以尝试使用版本-最新的是0.0.4
):libraryDependencies += "com.databricks" % "dbutils-api_2.11" % "0.0.3"
This question and answer为我指明了正确的方向。答案包含指向使用
dbutils
:waimak的可用Github存储库的链接。我希望这个仓库可以帮助您解决有关Databricks配置和依赖项的更多问题。祝你好运!
更新
我知道了,所以我们有两个相似但不完全相同的API,也没有在本地版本和后端版本之间切换的好方法(尽管Databricks Connect promise 它应该可以正常工作)。请让我提出一个解决方法。
Scala可以方便地编写适配器,这是很好的。这是一个应该作为桥梁的代码片段-这里定义了
DBUtils
对象,它为API的两个版本提供了足够的API抽象:Databricks在com.databricks.service.DBUtils
上连接一个,以及后端com.databricks.dbutils_v1.DBUtilsHolder.dbutils
API。我们可以通过加载并随后通过反射使用com.databricks.service.DBUtils
来实现此目的-我们没有对其进行硬编码的导入。package com.example.my.proxy.adapter
import org.apache.hadoop.fs.FileSystem
import org.apache.spark.sql.catalyst.DefinedByConstructorParams
import scala.util.Try
import scala.language.implicitConversions
import scala.language.reflectiveCalls
trait DBUtilsApi {
type FSUtils
type FileInfo
type SecretUtils
type SecretMetadata
type SecretScope
val fs: FSUtils
val secrets: SecretUtils
}
trait DBUtils extends DBUtilsApi {
trait FSUtils {
def dbfs: org.apache.hadoop.fs.FileSystem
def ls(dir: String): Seq[FileInfo]
def rm(dir: String, recurse: Boolean = false): Boolean
def mkdirs(dir: String): Boolean
def cp(from: String, to: String, recurse: Boolean = false): Boolean
def mv(from: String, to: String, recurse: Boolean = false): Boolean
def head(file: String, maxBytes: Int = 65536): String
def put(file: String, contents: String, overwrite: Boolean = false): Boolean
}
case class FileInfo(path: String, name: String, size: Long)
trait SecretUtils {
def get(scope: String, key: String): String
def getBytes(scope: String, key: String): Array[Byte]
def list(scope: String): Seq[SecretMetadata]
def listScopes(): Seq[SecretScope]
}
case class SecretMetadata(key: String) extends DefinedByConstructorParams
case class SecretScope(name: String) extends DefinedByConstructorParams
}
object DBUtils extends DBUtils {
import Adapters._
override lazy val (fs, secrets): (FSUtils, SecretUtils) = Try[(FSUtils, SecretUtils)](
(ReflectiveDBUtils.fs, ReflectiveDBUtils.secrets) // try to use the Databricks Connect API
).getOrElse(
(BackendDBUtils.fs, BackendDBUtils.secrets) // if it's not available, use com.databricks.dbutils_v1.DBUtilsHolder
)
private object Adapters {
// The apparent code copying here is for performance -- the ones for `ReflectiveDBUtils` use reflection, while
// the `BackendDBUtils` call the functions directly.
implicit class FSUtilsFromBackend(underlying: BackendDBUtils.FSUtils) extends FSUtils {
override def dbfs: FileSystem = underlying.dbfs
override def ls(dir: String): Seq[FileInfo] = underlying.ls(dir).map(fi => FileInfo(fi.path, fi.name, fi.size))
override def rm(dir: String, recurse: Boolean = false): Boolean = underlying.rm(dir, recurse)
override def mkdirs(dir: String): Boolean = underlying.mkdirs(dir)
override def cp(from: String, to: String, recurse: Boolean = false): Boolean = underlying.cp(from, to, recurse)
override def mv(from: String, to: String, recurse: Boolean = false): Boolean = underlying.mv(from, to, recurse)
override def head(file: String, maxBytes: Int = 65536): String = underlying.head(file, maxBytes)
override def put(file: String, contents: String, overwrite: Boolean = false): Boolean = underlying.put(file, contents, overwrite)
}
implicit class FSUtilsFromReflective(underlying: ReflectiveDBUtils.FSUtils) extends FSUtils {
override def dbfs: FileSystem = underlying.dbfs
override def ls(dir: String): Seq[FileInfo] = underlying.ls(dir).map(fi => FileInfo(fi.path, fi.name, fi.size))
override def rm(dir: String, recurse: Boolean = false): Boolean = underlying.rm(dir, recurse)
override def mkdirs(dir: String): Boolean = underlying.mkdirs(dir)
override def cp(from: String, to: String, recurse: Boolean = false): Boolean = underlying.cp(from, to, recurse)
override def mv(from: String, to: String, recurse: Boolean = false): Boolean = underlying.mv(from, to, recurse)
override def head(file: String, maxBytes: Int = 65536): String = underlying.head(file, maxBytes)
override def put(file: String, contents: String, overwrite: Boolean = false): Boolean = underlying.put(file, contents, overwrite)
}
implicit class SecretUtilsFromBackend(underlying: BackendDBUtils.SecretUtils) extends SecretUtils {
override def get(scope: String, key: String): String = underlying.get(scope, key)
override def getBytes(scope: String, key: String): Array[Byte] = underlying.getBytes(scope, key)
override def list(scope: String): Seq[SecretMetadata] = underlying.list(scope).map(sm => SecretMetadata(sm.key))
override def listScopes(): Seq[SecretScope] = underlying.listScopes().map(ss => SecretScope(ss.name))
}
implicit class SecretUtilsFromReflective(underlying: ReflectiveDBUtils.SecretUtils) extends SecretUtils {
override def get(scope: String, key: String): String = underlying.get(scope, key)
override def getBytes(scope: String, key: String): Array[Byte] = underlying.getBytes(scope, key)
override def list(scope: String): Seq[SecretMetadata] = underlying.list(scope).map(sm => SecretMetadata(sm.key))
override def listScopes(): Seq[SecretScope] = underlying.listScopes().map(ss => SecretScope(ss.name))
}
}
}
object BackendDBUtils extends DBUtilsApi {
import com.databricks.dbutils_v1
private lazy val dbutils: DBUtils = dbutils_v1.DBUtilsHolder.dbutils
override lazy val fs: FSUtils = dbutils.fs
override lazy val secrets: SecretUtils = dbutils.secrets
type DBUtils = dbutils_v1.DBUtilsV1
type FSUtils = dbutils_v1.DbfsUtils
type FileInfo = com.databricks.backend.daemon.dbutils.FileInfo
type SecretUtils = dbutils_v1.SecretUtils
type SecretMetadata = dbutils_v1.SecretMetadata
type SecretScope = dbutils_v1.SecretScope
}
object ReflectiveDBUtils extends DBUtilsApi {
// This throws a ClassNotFoundException when the Databricks Connection API isn't available -- it's much better than
// the NoClassDefFoundError, which we would get if we had a hard-coded import of com.databricks.service.DBUtils .
// As we're just using reflection, we're able to recover if it's not found.
private lazy val dbutils: DBUtils =
Class.forName("com.databricks.service.DBUtils$").getField("MODULE$").get().asInstanceOf[DBUtils]
override lazy val fs: FSUtils = dbutils.fs
override lazy val secrets: SecretUtils = dbutils.secrets
type DBUtils = AnyRef {
val fs: FSUtils
val secrets: SecretUtils
}
type FSUtils = AnyRef {
def dbfs: org.apache.hadoop.fs.FileSystem
def ls(dir: String): Seq[FileInfo]
def rm(dir: String, recurse: Boolean): Boolean
def mkdirs(dir: String): Boolean
def cp(from: String, to: String, recurse: Boolean): Boolean
def mv(from: String, to: String, recurse: Boolean): Boolean
def head(file: String, maxBytes: Int): String
def put(file: String, contents: String, overwrite: Boolean): Boolean
}
type FileInfo = AnyRef {
val path: String
val name: String
val size: Long
}
type SecretUtils = AnyRef {
def get(scope: String, key: String): String
def getBytes(scope: String, key: String): Array[Byte]
def list(scope: String): Seq[SecretMetadata]
def listScopes(): Seq[SecretScope]
}
type SecretMetadata = DefinedByConstructorParams { val key: String }
type SecretScope = DefinedByConstructorParams { val name: String }
}
如果将
val dbutils: DBUtils.type = com.databricks.service.DBUtils
中提到的Main
替换为val dbutils: DBUtils.type = com.example.my.proxy.adapter.DBUtils
,则无论本地还是远程,所有内容都应作为即插即用的替代品。如果您有一些新的
NoClassDefFoundError
,请尝试将特定依赖项添加到JAR作业中,或者尝试重新排列它们,更改版本或将提供的依赖项标记为已提供。这个适配器不是很漂亮,它使用反射,但是我希望它可以很好地作为一种解决方法。祝你好运 :)