[SUPPORT]Caused by: java.lang.IllegalArgumentException: Partition path is not in the form partition_key=partition_value.

Hello,
When I delete mor hudi table .it doen't work well.

Spark Version: spark-3.2.3-bin-hadoop2.7 download from spark web.
Hive Version: 2.1.1-cdh6.3.2
Hudi Version: 0.11.1 modify pom.xml of spark3.version and run command:
mvn clean package -DskipTests -Drat.skip=true -Dcheckstyle.skip=true -Dspark3.2 -Dscala-2.12

```
[root@dataplatform-node-01 bin]$ ./spark-sql --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer' --conf 'spark.sql.extensions=org.apache.spark.sql.hudi.HoodieSparkSessionExtension' --conf 'spark.sql.catalog.spark_catalog=org.apache.spark.sql.hudi.catalog.HoodieCatalog'
spark-sql> create table hudi_mor_tbl (
> id int,
> name string,
> price double,
> ts bigint
> ) using hudi
> tblproperties (
> type = 'mor',
> primaryKey = 'id',
> preCombineField = 'ts'
> );
57964 [main] WARN org.apache.hudi.common.config.DFSPropertiesConfiguration - Cannot find HUDI_CONF_DIR, please set it as the dir of hudi-defaults.conf
57986 [main] WARN org.apache.hudi.common.config.DFSPropertiesConfiguration - Properties file file:/etc/hudi/conf/hudi-defaults.conf not found. Ignoring to load props file
63326 [main] WARN org.apache.hadoop.hive.ql.session.SessionState - METASTORE_FILTER_HOOK will be ignored, since hive.security.authorization.manager is set to instance of HiveAuthorizerFactory.
Time taken: 5.795 seconds
spark-sql> **insert into hudi_mor_tbl select 1, 'a1', 20, 1000;**
75872 [main] WARN org.apache.hudi.metadata.HoodieBackedTableMetadata - Metadata table was not found at path hdfs://nameservice1/user/hive/warehouse/hudi_demo.db/hudi_mor_tbl/.hoodie/metadata
94603 [Executor task launch worker for task 0.0 in stage 6.0 (TID 6)] WARN org.apache.hadoop.metrics2.impl.MetricsConfig - Cannot locate configuration: tried hadoop-metrics2-hbase.properties,hadoop-metrics2.properties
00:44 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://nameservice1/user/hive/warehouse/hudi_demo.db/hudi_mor_tbl. Falling back to direct markers.
00:46 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://nameservice1/user/hive/warehouse/hudi_demo.db/hudi_mor_tbl. Falling back to direct markers.
01:05 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://nameservice1/user/hive/warehouse/hudi_demo.db/hudi_mor_tbl. Falling back to direct markers.
149496 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.vectorized.use.checked.expressions does not exist
149496 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.strict.checks.no.partition.filter does not exist
149496 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.internal.ss.authz.settings.applied.marker does not exist
149496 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.stats.jdbc.timeout does not exist
149496 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.strict.checks.orderby.no.limit does not exist
149496 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.vectorized.input.format.excludes does not exist
149497 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.stats.retries.wait does not exist
Time taken: 77.571 seconds
spark-sql> **select * from hudi_mor_tbl;**
20230407155323663 20230407155323663_0_0 id:1 172d0648-4dea-4aaf-b5b5-94bd2ae50f84-0_0-27-1215_20230407155323663.parquet 1 a1 20.0 1000
Time taken: 0.573 seconds, Fetched 1 row(s)
spark-sql> **delete from hudi_mor_tbl where id=1;**
01:48 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://nameservice1/user/hive/warehouse/hudi_demo.db/hudi_mor_tbl. Falling back to direct markers.
01:54 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://nameservice1/user/hive/warehouse/hudi_demo.db/hudi_mor_tbl. Falling back to direct markers.
02:08 WARN: Timeline-server-based markers are not supported for HDFS: base path hdfs://nameservice1/user/hive/warehouse/hudi_demo.db/hudi_mor_tbl. Falling back to direct markers.
211041 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.vectorized.use.checked.expressions does not exist
211041 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.strict.checks.no.partition.filter does not exist
211041 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.internal.ss.authz.settings.applied.marker does not exist
211041 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.stats.jdbc.timeout does not exist
211041 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.strict.checks.orderby.no.limit does not exist
211041 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.vectorized.input.format.excludes does not exist
211042 [main] WARN org.apache.hadoop.hive.conf.HiveConf - HiveConf of name hive.stats.retries.wait does not exist
211897 [main] ERROR org.apache.spark.sql.hive.thriftserver.SparkSQLDriver - Failed in [delete from hudi_mor_tbl where id=1]
org.apache.hudi.exception.HoodieException: Could not sync using the meta sync class org.apache.hudi.hive.HiveSyncTool
at org.apache.hudi.sync.common.util.SyncUtilHelpers.runHoodieMetaSync(SyncUtilHelpers.java:61)
at org.apache.hudi.HoodieSparkSqlWriter$.$anonfun$metaSync$2(HoodieSparkSqlWriter.scala:623)
at org.apache.hudi.HoodieSparkSqlWriter$.$anonfun$metaSync$2$adapted(HoodieSparkSqlWriter.scala:622)
at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
at org.apache.hudi.HoodieSparkSqlWriter$.metaSync(HoodieSparkSqlWriter.scala:622)
at org.apache.hudi.HoodieSparkSqlWriter$.commitAndPerformPostOperations(HoodieSparkSqlWriter.scala:681)
at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:315)
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:171)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:47)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$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:457)
at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:115)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:848)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:382)
at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:355)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:247)
at org.apache.spark.sql.hudi.command.DeleteHoodieTableCommand.run(DeleteHoodieTableCommand.scala:48)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$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:457)
at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
at org.apache.spark.sql.Dataset.(Dataset.scala:219)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:651)
at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:67)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:384)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:504)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:498)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:498)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:287)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:955)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1043)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1052)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.hudi.exception.HoodieException: Got runtime exception when hive syncing hudi_mor_tbl
at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:143)
at org.apache.hudi.sync.common.util.SyncUtilHelpers.runHoodieMetaSync(SyncUtilHelpers.java:59)
... 93 more
Caused by: org.apache.hudi.hive.HoodieHiveSyncException: Failed to sync partitions for table hudi_mor_tbl_ro
at org.apache.hudi.hive.HiveSyncTool.syncPartitions(HiveSyncTool.java:414)
at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:232)
at org.apache.hudi.hive.HiveSyncTool.doSync(HiveSyncTool.java:156)
at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:140)
... 94 more
Caused by: java.lang.IllegalArgumentException: **Partition path is not in the form partition_key=partition_value.**
at org.apache.hudi.hive.HiveStylePartitionValueExtractor.extractPartitionValuesInPath(HiveStylePartitionValueExtractor.java:37)
at org.apache.hudi.hive.AbstractHiveSyncHoodieClient.getPartitionEvents(AbstractHiveSyncHoodieClient.java:81)
at org.apache.hudi.hive.HiveSyncTool.syncPartitions(HiveSyncTool.java:392)
... 97 more
org.apache.hudi.exception.HoodieException: Could not sync using the meta sync class org.apache.hudi.hive.HiveSyncTool
at org.apache.hudi.sync.common.util.SyncUtilHelpers.runHoodieMetaSync(SyncUtilHelpers.java:61)
at org.apache.hudi.HoodieSparkSqlWriter$.$anonfun$metaSync$2(HoodieSparkSqlWriter.scala:623)
at org.apache.hudi.HoodieSparkSqlWriter$.$anonfun$metaSync$2$adapted(HoodieSparkSqlWriter.scala:622)
at scala.collection.mutable.HashSet.foreach(HashSet.scala:79)
at org.apache.hudi.HoodieSparkSqlWriter$.metaSync(HoodieSparkSqlWriter.scala:622)
at org.apache.hudi.HoodieSparkSqlWriter$.commitAndPerformPostOperations(HoodieSparkSqlWriter.scala:681)
at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:315)
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:171)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:47)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$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:457)
at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:115)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:848)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:382)
at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:355)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:247)
at org.apache.spark.sql.hudi.command.DeleteHoodieTableCommand.run(DeleteHoodieTableCommand.scala:48)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:97)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:97)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:93)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$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:457)
at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:93)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:80)
at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
at org.apache.spark.sql.Dataset.(Dataset.scala:219)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:618)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:613)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:651)
at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:67)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:384)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:504)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:498)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:498)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:287)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:955)
at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1043)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1052)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.hudi.exception.HoodieException: Got runtime exception when hive syncing hudi_mor_tbl
at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:143)
at org.apache.hudi.sync.common.util.SyncUtilHelpers.runHoodieMetaSync(SyncUtilHelpers.java:59)
... 93 more
Caused by: org.apache.hudi.hive.HoodieHiveSyncException: Failed to sync partitions for table hudi_mor_tbl_ro
at org.apache.hudi.hive.HiveSyncTool.syncPartitions(HiveSyncTool.java:414)
at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:232)
at org.apache.hudi.hive.HiveSyncTool.doSync(HiveSyncTool.java:156)
at org.apache.hudi.hive.HiveSyncTool.syncHoodieTable(HiveSyncTool.java:140)
... 94 more
Caused by: java.lang.IllegalArgumentException: Partition path is not in the form partition_key=partition_value.
at org.apache.hudi.hive.HiveStylePartitionValueExtractor.extractPartitionValuesInPath(HiveStylePartitionValueExtractor.java:37)
at org.apache.hudi.hive.AbstractHiveSyncHoodieClient.getPartitionEvents(AbstractHiveSyncHoodieClient.java:81)
at org.apache.hudi.hive.HiveSyncTool.syncPartitions(HiveSyncTool.java:392)
... 97 more

spark-sql>
```

Start with DeleteHoodieTableCommand.scala and follow the call into HoodieSparkSqlWriter.scala, then inspect the HiveSyncTool failure shown in the stack trace. Reproduce the Spark SQL create, insert, and delete sequence with the listed Spark, Hive, and Hudi versions. Done means deleting the MOR table succeeds without the partition-path exception or failing metadata sync.

Written by the indexing model from the issue text.