Question

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

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。

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。

Answer 1

Click here下载可用的笔记本。

创建Databricks集群

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

为Microsoft Azure SQL数据库和SQL Server安装Spark连接器

导航到集群>库>安装新> Maven>搜索软件包
切换到 Maven Central
搜索 azure-sqldb-spark （com.microsoft.azure:azure-sqldb-spark）
点击选择
点击安装

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

更新变量

更新变量值（custerName，服务器，数据库，表，用户名，密码）

运行初始化命令（仅一次）

这将执行以下操作：

在dbfs下创建一个名为 init 的文件夹：/ databricks / init /
创建一个名为Databricks集群的子文件夹
为每个依赖项创建一个bash脚本

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

依赖项：

重新启动Databricks群集

这是执行初始化脚本所必需的。

运行此笔记本中的最后一个单元格

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

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()

Answer 2

作为2020年的更新：

我按照说明进行了群集初始化脚本，但是最后我的工作设置似乎并不需要这样做。

我最终使用了scala 2.11（注释2.11），并通过UI安装了这些库：com.microsoft.azure:azure-sqldb-spark:1.0.2和mssql_jdbc_8_2_2_jre8.jar（注释jre8）。我还必须在config中明确提到驱动程序类：

import com.microsoft.azure.sqldb.spark.config.Config
import com.microsoft.azure.sqldb.spark.connect._

val config = Config(Map(
   "url"            -> "....database.windows.net",
   "databaseName"   -> "...",
   "dbTable"        -> "...",
   "accessToken"           -> "...",
   "hostNameInCertificate" -> "*.database.windows.net",
   "encrypt"               -> "true",
   "ServerCertificate"      -> "false",
   "driver"                 -> "com.microsoft.sqlserver.jdbc.SQLServerDriver"
))

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

令牌获取是通过msal（python）完成的：

import msal

TenantId = "...guid..."
authority = "https://login.microsoftonline.com/" + TenantId
scope = "https://database.windows.net//.default"  #? yes, with double "//"
ServicePrincipalId = "...guid..."
ServicePrincipalPwd = "secret"

app = msal.ConfidentialClientApplication(client_id=ServicePrincipalId, authority=authority, client_credential=ServicePrincipalPwd, )

result = None
result = app.acquire_token_silent(scopes=[scope], account=None)

if not result:
    result = app.acquire_token_for_client(scope)

if "access_token" in result:
    sqlAzureAccessToken = result["access_token"]

Databricks使用ActiveDirectoryPassword连接到Azure SQL DB时出错

2 个答案: