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Я запускаю приложение Pyspark, которое подключается к SQL server с проверкой подлинности Windows. Вот код. Как jar, так и dll-файлы доступны по пути, по которому я вызвал оболочку Pyspark. Ниже приведена версия JAVA-

 $ java -version
java version "1.8.0_144"
Java(TM) SE Runtime Environment (build 1.8.0_144-b01)
Java HotSpot(TM) 64-Bit Server VM (build 25.144-b01, mixed mode)
 

 user@edgenode:~ $ pyspark2 --conf "spark.driver.extraClassPath=mssql-jdbc-9.2.1.jre8.jar:sqljdbc_auth.dll"
Python 2.7.5 (default, Jun 11 2019, 12:19:05)
[GCC 4.8.5 20150623 (Red Hat 4.8.5-36)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _ / _ / _ `/ __/  '_/
   /__ / .__/_,_/_/ /_/_   version 2.2.0.cloudera4
      /_/

Using Python version 2.7.5 (default, Jun 11 2019 12:19:05)
SparkSession available as 'spark'.
>>> from pyspark.sql import SparkSession
>>> spark = SparkSession.builder.appName('connectionTest').config('spark.driver.extraClassPath','mssql-jdbc-9.2.1.jre8.jar:sqljdbc_auth.dll').getOrCreate()
>>> spark.read.format("jdbc").option("url","jdbc:sqlserver://sqlserver101.prod.com:3341;databaseName=PHOENIX_DW;integratedSecurity=true").option("dbtable","DWDB1.AGENT").option("driver", "com.microsoft.sqlserver.jdbc.SQLServerDriver").load().show()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/data/2/parcels/SPARK2-2.2.0.cloudera4-1.cdh5.13.3.p0.603055/lib/spark2/python/pyspark/sql/readwriter.py", line 165, in load
    return self._df(self._jreader.load())
  File "/data/2/parcels/SPARK2-2.2.0.cloudera4-1.cdh5.13.3.p0.603055/lib/spark2/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
  File "/data/2/parcels/SPARK2-2.2.0.cloudera4-1.cdh5.13.3.p0.603055/lib/spark2/python/pyspark/sql/utils.py", line 63, in deco
    return f(*a, **kw)
  File "/data/2/parcels/SPARK2-2.2.0.cloudera4-1.cdh5.13.3.p0.603055/lib/spark2/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o83.load.
: com.microsoft.sqlserver.jdbc.SQLServerException: This driver is not configured for integrated authentication. ClientConnectionId:42a7d54f-0a25-4c65-9646-688c53e498db
        at com.microsoft.sqlserver.jdbc.SQLServerConnection.terminate(SQLServerConnection.java:3206)
        at com.microsoft.sqlserver.jdbc.AuthenticationJNI.<init>(AuthenticationJNI.java:72)
        at com.microsoft.sqlserver.jdbc.SQLServerConnection.logon(SQLServerConnection.java:4015)
        at com.microsoft.sqlserver.jdbc.SQLServerConnection.access$000(SQLServerConnection.java:85)
        at com.microsoft.sqlserver.jdbc.SQLServerConnection$LogonCommand.doExecute(SQLServerConnection.java:4004)
        at com.microsoft.sqlserver.jdbc.TDSCommand.execute(IOBuffer.java:7418)
        at com.microsoft.sqlserver.jdbc.SQLServerConnection.executeCommand(SQLServerConnection.java:3272)
        at com.microsoft.sqlserver.jdbc.SQLServerConnection.connectHelper(SQLServerConnection.java:2768)
        at com.microsoft.sqlserver.jdbc.SQLServerConnection.login(SQLServerConnection.java:2418)
        at com.microsoft.sqlserver.jdbc.SQLServerConnection.connectInternal(SQLServerConnection.java:2265)
        at com.microsoft.sqlserver.jdbc.SQLServerConnection.connect(SQLServerConnection.java:1291)
        at com.microsoft.sqlserver.jdbc.SQLServerDriver.connect(SQLServerDriver.java:881)
        at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:61)
        at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$anonfun$createConnectionFactory$1.apply(JdbcUtils.scala:52)
        at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:58)
        at org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation.<init>(JDBCRelation.scala:114)
        at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:52)
        at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:307)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:146)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
        at py4j.Gateway.invoke(Gateway.java:282)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:238)
        at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.UnsatisfiedLinkError: no mssql-jdbc_auth-9.2.1.x64 in java.library.path
        at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1867)
        at java.lang.Runtime.loadLibrary0(Runtime.java:870)
        at java.lang.System.loadLibrary(System.java:1122)
        at com.microsoft.sqlserver.jdbc.AuthenticationJNI.<clinit>(AuthenticationJNI.java:51)
        at com.microsoft.sqlserver.jdbc.SQLServerConnection.logon(SQLServerConnection.java:4014)
        ... 28 more
 

Пожалуйста, извините за мое очень ограниченное понимание Java. Означает ли эта ошибка, что подключение к SQL server было успешным и не удалось получить данные из таблицы, или это вызвано тем, что я использую неправильную версию dll-файла (x64 против x86), и даже подключение не было успешным? Как мне устранить эту проблему?