Databricks使用ActiveDirectoryPassword连接到Azure SQL DB时出错 [英] getting error while Databricks connection to Azure SQL DB with ActiveDirectoryPassword

查看:124
本文介绍了Databricks使用ActiveDirectoryPassword连接到Azure SQL DB时出错的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在尝试将Databricks的Azure sql db与AAD连接-密码身份验证.我导入了Azure SQL db& adal4j库.但仍然低于错误

I am trying to connect Azure sql db from Databricks with AAD - Password auth. I imported azure sql db& adal4j libs. but still getting below error

java.lang.NoClassDefFoundError: com/nimbusds/oauth2/sdk/AuthorizationGrant

堆栈跟踪:

    at com.microsoft.sqlserver.jdbc.SQLServerADAL4JUtils.getSqlFedAuthToken(SQLServerADAL4JUtils.java:24)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection.getFedAuthToken(SQLServerConnection.java:3609)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection.onFedAuthInfo(SQLServerConnection.java:3580)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection.processFedAuthInfo(SQLServerConnection.java:3548)
    at com.microsoft.sqlserver.jdbc.TDSTokenHandler.onFedAuthInfo(tdsparser.java:261)
    at com.microsoft.sqlserver.jdbc.TDSParser.parse(tdsparser.java:103)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection.sendLogon(SQLServerConnection.java:4290)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection.logon(SQLServerConnection.java:3157)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection.access$100(SQLServerConnection.java:82)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection$LogonCommand.doExecute(SQLServerConnection.java:3121)
    at com.microsoft.sqlserver.jdbc.TDSCommand.execute(IOBuffer.java:7151)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection.executeCommand(SQLServerConnection.java:2478)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection.connectHelper(SQLServerConnection.java:2026)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection.login(SQLServerConnection.java:1687)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection.connectInternal(SQLServerConnection.java:1528)
    at com.microsoft.sqlserver.jdbc.SQLServerConnection.connect(SQLServerConnection.java:866)
    at com.microsoft.sqlserver.jdbc.SQLServerDriver.connect(SQLServerDriver.java:569)
    at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:63)
    at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:54)
    at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:56)
    at org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation.<init>(JDBCRelation.scala:115)
    at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:5
at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:590)
    at com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:474)
    at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:548)
    at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:380)
    at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:327)
    at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:215)
    at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: com.nimbusds.oauth2.sdk.AuthorizationGrant
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:338)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)

将nimbusds lib导入了我的工作空间.

imported nimbusds lib into my workspace.

这是配置

import com.microsoft.azure.sqldb.spark.config.Config
import com.microsoft.azure.sqldb.spark.connect._
import org.apache.spark.sql.SparkSession

val spark: SparkSession = SparkSession.builder().getOrCreate()

    val config = Config(Map(

      "url"            -> "ServerName.database.windows.net",
      "databaseName"   -> "dbname",
      "dbTable"        -> "dbo.test",
      "user"           -> "alias@domain.com",
      "password"       -> "pwd",
      "authentication" -> "ActiveDirectoryPassword",
      "encrypt"        -> "true",
      "trustServerCertificate"->"false",
      "hostNameInCertificate"->"*.database.windows.net"
    ))

    val collection = spark.read.sqlDB(config)
    collection.show()

请帮助我解决这个问题.

please help me if any one resolved this issue.

推荐答案

已知的工作配置-Databricks Runtime 5.2(包括Apache Spark 2.4.0,Scala 2.11)

Known working configuration - Databricks Runtime 5.2 (includes Apache Spark 2.4.0, Scala 2.11)

  1. 导航到集群>库>安装新> Maven>搜索软件包
  2. 切换到 Maven Central
  3. 搜索 azure-sqldb-spark (com.microsoft.azure:azure-sqldb-spark)
  4. 点击选择
  5. 点击安装
  1. Navigate to Cluster > Library > Install New > Maven > Search Packages
  2. Switch to Maven Central
  3. Search for azure-sqldb-spark (com.microsoft.azure:azure-sqldb-spark)
  4. Click Select
  5. Click Install

已知的工作版本-com.microsoft.azure:azure-sqldb-spark:1.0.2

Known working version - com.microsoft.azure:azure-sqldb-spark:1.0.2

更新变量值(custerName,服务器,数据库,表,用户名,密码)

Update variable values (custerName, server, database, table, username, password)

这将执行以下操作:

  1. 在dbfs下创建一个名为 init 的文件夹:/databricks/init/
  2. 创建一个名为Databricks集群的子文件夹
  3. 为每个依赖项创建一个bash脚本
  1. Create a folder called init under dbfs:/databricks/init/
  2. Creta a sub-folder with the name of the Databricks cluster
  3. Create a bash script per dependency

Bash脚本命令: * wget:从Web服务器检索内容 * --quit:关闭wget的输出 * -O:输出

Bash Script Commands: * wget: Retrieve content from a web server * --quit: Turns off wget's output * -O: Output

依赖项:

http://central.maven.org/maven2/com/nimbusds/oauth2-oidc-sdk/5.24.1/oauth2-oidc-sdk-5.24.1.jar

这是执行初始化脚本所必需的.

This is needed to execute the init script.

这将测试通过Active Directory身份验证连接到Azure SQL数据库的能力.

This will test the ability to connect to an Azure SQL Database via Active Directory authentication.

初始化命令

// Initialisation
// This code block only needs to be run once to create the init script for the cluster (file remains on restart)

// Get the cluster name
var clusterName = dbutils.widgets.get("cluster")

// Create dbfs:/databricks/init/ if it doesn’t exist.
dbutils.fs.mkdirs("dbfs:/databricks/init/")

// Create a directory named (clusterName) using Databricks File System - DBFS.
dbutils.fs.mkdirs(s"dbfs:/databricks/init/$clusterName/")

// Create the adal4j script.
dbutils.fs.put(s"/databricks/init/$clusterName/adal4j-install.sh","""
#!/bin/bash
wget --quiet -O /mnt/driver-daemon/jars/adal4j-1.6.0.jar http://central.maven.org/maven2/com/microsoft/azure/adal4j/1.6.0/adal4j-1.6.0.jar
wget --quiet -O /mnt/jars/driver-daemon/adal4j-1.6.0.jar http://central.maven.org/maven2/com/microsoft/azure/adal4j/1.6.0/adal4j-1.6.0.jar""", true)

// Create the oauth2 script.
dbutils.fs.put(s"/databricks/init/$clusterName/oauth2-install.sh","""
#!/bin/bash
wget --quiet -O /mnt/driver-daemon/jars/oauth2-oidc-sdk-5.24.1.jar http://central.maven.org/maven2/com/nimbusds/oauth2-oidc-sdk/5.24.1/oauth2-oidc-sdk-5.24.1.jar
wget --quiet -O /mnt/jars/driver-daemon/oauth2-oidc-sdk-5.24.1.jar http://central.maven.org/maven2/com/nimbusds/oauth2-oidc-sdk/5.24.1/oauth2-oidc-sdk-5.24.1.jar""", true)

// Create the json script.
dbutils.fs.put(s"/databricks/init/$clusterName/json-smart-install.sh","""
#!/bin/bash
wget --quiet -O /mnt/driver-daemon/jars/json-smart-1.1.1.jar http://central.maven.org/maven2/net/minidev/json-smart/1.1.1/json-smart-1.1.1.jar
wget --quiet -O /mnt/jars/driver-daemon/json-smart-1.1.1.jar http://central.maven.org/maven2/net/minidev/json-smart/1.1.1/json-smart-1.1.1.jar""", true)

// Create the jwt script.
dbutils.fs.put(s"/databricks/init/$clusterName/jwt-install.sh","""
#!/bin/bash
wget --quiet -O /mnt/driver-daemon/jars/nimbus-jose-jwt-7.0.1.jar http://central.maven.org/maven2/com/nimbusds/nimbus-jose-jwt/7.0.1/nimbus-jose-jwt-7.0.1.jar
wget --quiet -O /mnt/jars/driver-daemon/nimbus-jose-jwt-7.0.1.jar http://central.maven.org/maven2/com/nimbusds/nimbus-jose-jwt/7.0.1/nimbus-jose-jwt-7.0.1.jar""", true)

// Check that the cluster-specific init script exists.
display(dbutils.fs.ls(s"dbfs:/databricks/init/$clusterName/"))

测试命令

// Connect to Azure SQL Database via Active Directory Password Authentication
import com.microsoft.azure.sqldb.spark.config.Config
import com.microsoft.azure.sqldb.spark.connect._

// Get Widget Values
var server = dbutils.widgets.get("server")
var database = dbutils.widgets.get("database")
var table = dbutils.widgets.get("table")
var username = dbutils.widgets.get("user")
var password = dbutils.widgets.get("password")

val config = Config(Map(
  "url"                    -> s"$server.database.windows.net",
  "databaseName"           -> s"$database",
  "dbTable"                -> s"$table",
  "user"                   -> s"$username",
  "password"               -> s"$password",
  "authentication"         -> "ActiveDirectoryPassword",
  "encrypt"                -> "true",
  "ServerCertificate"      -> "false",
  "hostNameInCertificate"  -> "*.database.windows.net"
))

val collection = sqlContext.read.sqlDB(config)
collection.show()

这篇关于Databricks使用ActiveDirectoryPassword连接到Azure SQL DB时出错的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆