how to fix syntax error when saving a dataframe as a hive table. PySpark

RA Royer Andino 0 1234 1.38 index 12/26/2022

Code:

import findspark findspark.init()

from pyspark.sql import SparkSession from pyspark.sql.functions import * from pyspark.sql.functions import broadcast from pyspark.sql.types import *

spark = SparkSession.builder.getOrCreate()

emp = [(1, "AAA", "dept1", 1000),     (2, "BBB", "dept1", 1100),     (3, "CCC", "dept1", 3000),     (4, "DDD", "dept1", 1500),     (5, "EEE", "dept2", 8000),     (6, "FFF", "dept2", 7200),     (7, "GGG", "dept3", 7100),     (None, None, None, 7500),     (9, "III", None, 4500),     (10, None, "dept5", 2500)]

dept = [("dept1", "Department - 1"),         ("dept2", "Department - 2"),         ("dept3", "Department - 3"),         ("dept4", "Department - 4")        ]

df = spark.createDataFrame(emp, ["id", "name", "dept", "salary"]) deptdf = spark.createDataFrame(dept, ["id", "name"])

df.createOrReplaceTempView("empdf") deptdf.createOrReplaceTempView("deptdf")

df.write.saveAsTable("hive_empdf", mode = "overwrite") deptdf.write.saveAsTable("hive_deptdf", mode = "overwrite")

Error:

Py4JJavaError                             Traceback (most recent call last) ~\AppData\Local\Temp\ipykernel_13920\1501817596.py in <module>      24      25 # Save as HIVE tables. ---> 26 df.write.saveAsTable("hive_empdf", mode = "overwrite")      27 deptdf.write.saveAsTable("hive_deptdf", mode = "overwrite")

C:\spark\python\pyspark\sql\readwriter.py in saveAsTable(self, name, format, mode, partitionBy, **options)    1039         if format is not None:    1040             self.format(format) -> 1041         self._jwrite.saveAsTable(name)    1042    1043     def json(

C:\spark\python\lib\py4j-0.10.9.5-src.zip\py4j\java_gateway.py in _call_(self, *args)    1319    1320         answer = self.gateway_client.send_command(command) -> 1321         return_value = get_return_value(    1322             answer, self.gateway_client, self.target_id, self.name)    1323

C:\spark\python\pyspark\sql\utils.py in deco(*a, **kw)     188     def deco(*a: Any, **kw: Any) -> Any:     189         try: --> 190             return f(*a, **kw)     191         except Py4JJavaError as e:     192             converted = convert_exception(e.java_exception)

C:\spark\python\lib\py4j-0.10.9.5-src.zip\py4j\protocol.py 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)

Py4JJavaError: An error occurred while calling o57.saveAsTable. : java.lang.UnsatisfiedLinkError: org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Ljava/lang/String;I)Z     at org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(Native Method)     at org.apache.hadoop.io.nativeio.NativeIO$Windows.access(NativeIO.java:793)     at org.apache.hadoop.fs.FileUtil.canRead(FileUtil.java:1218)     at org.apache.hadoop.fs.FileUtil.list(FileUtil.java:1423)     at org.apache.hadoop.fs.RawLocalFileSystem.listStatus(RawLocalFileSystem.java:601)     at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1972)     at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:2014)     at org.apache.hadoop.fs.ChecksumFileSystem.listStatus(ChecksumFileSystem.java:761)     at org.apache.spark.sql.catalyst.catalog.SessionCatalog.validateTableLocation(SessionCatalog.scala:384)     at org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.run(createDataSourceTables.scala:175)     at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:113)     at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:111)     at org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:125)     at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:98)     at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:109)     at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:169)     at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95)     at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)     at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)     at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)     at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:94)     at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)     at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176)     at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:584)     at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30)     at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)     at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)     at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)     at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30)     at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:560)     at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:94)     at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:81)     at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:79)     at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:116)     at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:860)     at org.apache.spark.sql.DataFrameWriter.createTable(DataFrameWriter.scala:701)     at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:679)     at org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:573)     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.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)     at py4j.ClientServerConnection.run(ClientServerConnection.java:106)     at java.lang.Thread.run(Thread.java:750)


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