azuresnowflake1
Reputation: 187
How to resolve authorization error while writing to synapse dedicated pool table from Azure Databricks using Pyspark using databricks service principl
I am using a databricks service principal which has
Storage Blob Data Contributor access on ADLS db_datareader, db_datawriter, db_ddladmin permission on synapse dedicated sql pool
I am using below code snippet to write the data to synapse table:
I can see that the tempDir gets the data while trying to copy :
But the overall process fails with below message:
Py4JJavaError Traceback (most recent call last)
File <command-1252066294211483>:8
1 df.write \
2 .format("com.databricks.spark.sqldw") \
3 .option("url", "jdbc:sqlserver://"+azure_synapse_server_name+":1433;database="+azure_synapse_database_name) \
4 .option("enableServiceprincipalAuth","true") \
5 .option("tempDir","abfss://[email protected]/temp_area") \
6 .option("dbtable", "dbo."+EntityName) \
7 .mode("append") \
----> 8 .save()
File /databricks/spark/python/pyspark/instrumentation_utils.py:48, in _wrap_function.<locals>.wrapper(*args, **kwargs)
46 start = time.perf_counter()
47 try:
---> 48 res = func(*args, **kwargs)
49 logger.log_success(
50 module_name, class_name, function_name, time.perf_counter() - start, signature
51 )
52 return res
File /databricks/spark/python/pyspark/sql/readwriter.py:1396, in DataFrameWriter.save(self, path, format, mode, partitionBy, **options)
1394 self.format(format)
1395 if path is None:
-> 1396 self._jwrite.save()
1397 else:
1398 self._jwrite.save(path)
File /databricks/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py:1322, in JavaMember.__call__(self, *args)
1316 command = proto.CALL_COMMAND_NAME +\
1317 self.command_header +\
1318 args_command +\
1319 proto.END_COMMAND_PART
1321 answer = self.gateway_client.send_command(command)
-> 1322 return_value = get_return_value(
1323 answer, self.gateway_client, self.target_id, self.name)
1325 for temp_arg in temp_args:
1326 if hasattr(temp_arg, "_detach"):
File /databricks/spark/python/pyspark/errors/exceptions/captured.py:162, in capture_sql_exception.<locals>.deco(*a, **kw)
160 def deco(*a: Any, **kw: Any) -> Any:
161 try:
--> 162 return f(*a, **kw)
163 except Py4JJavaError as e:
164 converted = convert_exception(e.java_exception)
File /databricks/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/protocol.py:326, in get_return_value(answer, gateway_client, target_id, name)
324 value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
325 if answer[1] == REFERENCE_TYPE:
--> 326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
331 "An error occurred while calling {0}{1}{2}. Trace:\n{3}\n".
332 format(target_id, ".", name, value))
Py4JJavaError: An error occurred while calling o921.save.
: com.databricks.spark.sqldw.SqlDWSideException: Azure Synapse Analytics failed to execute the JDBC query produced by the connector.
Underlying SQLException(s):
- com.microsoft.sqlserver.jdbc.SQLServerException: Not able to validate external location because The remote server returned an error: (403) Forbidden. [ErrorCode = 105215] [SQLState = S0001]
at com.databricks.spark.sqldw.Utils$.wrapExceptions(Utils.scala:735)
at com.databricks.spark.sqldw.DefaultSource.createRelation(DefaultSource.scala:98)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:49)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.$anonfun$sideEffectResult$1(commands.scala:82)
at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:80)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:80)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:79)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:91)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.$anonfun$applyOrElse$3(QueryExecution.scala:238)
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:165)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.$anonfun$applyOrElse$2(QueryExecution.scala:238)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withCustomExecutionEnv$8(SQLExecution.scala:227)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:410)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withCustomExecutionEnv$1(SQLExecution.scala:172)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:1038)
at org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:122)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:360)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.$anonfun$applyOrElse$1(QueryExecution.scala:237)
at org.apache.spark.sql.execution.QueryExecution.org$apache$spark$sql$execution$QueryExecution$$withMVTagsIfNecessary(QueryExecution.scala:220)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.applyOrElse(QueryExecution.scala:233)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.applyOrElse(QueryExecution.scala:226)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:519)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:106)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:519)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:316)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:312)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:495)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$eagerlyExecuteCommands$1(QueryExecution.scala:226)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:372)
at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:226)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:180)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:171)
at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:287)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:964)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:429)
at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:396)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:258)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:397)
at py4j.Gateway.invoke(Gateway.java:306)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:195)
at py4j.ClientServerConnection.run(ClientServerConnection.java:115)
at java.lang.Thread.run(Thread.java:750)
Caused by: java.sql.SQLException: Exception thrown in awaitResult:
at com.databricks.spark.sqldw.JDBCWrapper.executeInterruptibly(SqlDWJDBCWrapper.scala:137)
at com.databricks.spark.sqldw.JDBCWrapper.$anonfun$executeInterruptibly$1(SqlDWJDBCWrapper.scala:115)
at com.databricks.spark.sqldw.JDBCWrapper.$anonfun$executeInterruptibly$1$adapted(SqlDWJDBCWrapper.scala:115)
at com.databricks.spark.sqldw.JDBCWrapper.withPreparedStatement(SqlDWJDBCWrapper.scala:362)
at com.databricks.spark.sqldw.JDBCWrapper.executeInterruptibly(SqlDWJDBCWrapper.scala:115)
at com.databricks.spark.sqldw.SqlDwWriter.$anonfun$saveToSqlDW$6(SqlDwWriter.scala:249)
at scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
at com.databricks.backend.daemon.driver.ProgressReporter$.withStatusCode(ProgressReporter.scala:377)
at com.databricks.backend.daemon.driver.ProgressReporter$.withStatusCode(ProgressReporter.scala:363)
at com.databricks.spark.util.SparkDatabricksProgressReporter$.withStatusCode(ProgressReporter.scala:34)
at com.databricks.spark.sqldw.SqlDwWriter.$anonfun$saveToSqlDW$1(SqlDwWriter.scala:206)
at com.databricks.spark.sqldw.SqlDwWriter.$anonfun$saveToSqlDW$1$adapted(SqlDwWriter.scala:73)
at com.databricks.spark.sqldw.JDBCWrapper.withConnection(SqlDWJDBCWrapper.scala:340)
at com.databricks.spark.sqldw.SqlDwWriter.saveToSqlDW(SqlDwWriter.scala:73)
at com.databricks.spark.sqldw.DefaultSource.$anonfun$createRelation$3(DefaultSource.scala:131)
at com.databricks.spark.sqldw.Utils$.wrapExceptions(Utils.scala:698)
... 51 more
Caused by: com.microsoft.sqlserver.jdbc.SQLServerException: Not able to validate external location because The remote server returned an error: (403) Forbidden.
at com.microsoft.sqlserver.jdbc.SQLServerException.makeFromDatabaseError(SQLServerException.java:265)
at com.microsoft.sqlserver.jdbc.SQLServerStatement.getNextResult(SQLServerStatement.java:1676)
at com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement.doExecutePreparedStatement(SQLServerPreparedStatement.java:620)
at com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement$PrepStmtExecCmd.doExecute(SQLServerPreparedStatement.java:540)
at com.microsoft.sqlserver.jdbc.TDSCommand.execute(IOBuffer.java:7627)
at com.microsoft.sqlserver.jdbc.SQLServerConnection.executeCommand(SQLServerConnection.java:3916)
at com.microsoft.sqlserver.jdbc.SQLServerStatement.executeCommand(SQLServerStatement.java:268)
at com.microsoft.sqlserver.jdbc.SQLServerStatement.executeStatement(SQLServerStatement.java:242)
at com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement.execute(SQLServerPreparedStatement.java:518)
at com.databricks.spark.sqldw.JDBCWrapper.$anonfun$executeInterruptibly$2(SqlDWJDBCWrapper.scala:115)
at com.databricks.spark.sqldw.JDBCWrapper.$anonfun$executeInterruptibly$2$adapted(SqlDWJDBCWrapper.scala:115)
at com.databricks.spark.sqldw.JDBCWrapper.$anonfun$executeInterruptibly$3(SqlDWJDBCWrapper.scala:129)
at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
at scala.util.Success.$anonfun$map$1(Try.scala:255)
at scala.util.Success.map(Try.scala:213)
at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
Could someone please suggest what is this 403 error for ?
Upvotes: 0
Views: 390
Answers (1)
azuresnowflake1
Reputation: 187
Update:
Hi,
I was able to resolve it by creating a database scoped credential inside synapse and then creating anexternal location for tempdir where I am landing the temp data.
Below is the code snippet that was used:
df.write \
.format("com.databricks.spark.sqldw") \
.option("url", "jdbc:sqlserver://"+azure_synapse_server_name+":1433;database="+azure_synapse_database_name) \
.option("enableServiceprincipalAuth","true") \
.option("useAzureMSI","true") \
.option("tempDir",temp_path) \
.option("dbtable", "dbo."+EntityName) \
.mode("append") \
.save()
Please note that I used service principal for reading from lake using databricks and Azure MSI cred ( database scoped cred) is being used for load to synapse
Thanks
Upvotes: 0
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