hudi-bot opened a new issue, #15429:
URL: https://github.com/apache/hudi/issues/15429

   I create one table using varchar type error,
   
   create table hudi_cow_tpcds_base_spark.customer_address
   (
       ca_address_sk             int                  ,
       ca_address_id             VARCHAR(16)              ,
       ca_street_number          VARCHAR(10)                      ,
       ca_street_name            VARCHAR(60)                   ,
       ca_street_type            VARCHAR(15)                      ,
       ca_suite_number           VARCHAR(10)                      ,
       ca_city                   VARCHAR(60)                   ,
       ca_county                 VARCHAR(30)                   ,
       ca_state                  VARCHAR(2)                       ,
       ca_zip                    VARCHAR(10)                      ,
       ca_country                VARCHAR(20)                   ,
       ca_gmt_offset             decimal(5,2)                  ,
       ca_location_type          VARCHAR(20)                     
   )using hudi
   tblproperties (
     type = 'cow',
     primaryKey = 'ca_address_sk',
     preCombineField = 'ca_address_id'
    );
   
    
   
   the error stack:
   
   org.apache.hudi.org.apache.spark.sql.avro.IncompatibleSchemaException: 
Unexpected type VarcharType(16).
       at 
org.apache.hudi.org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:211)
       at 
org.apache.hudi.org.apache.spark.sql.avro.SchemaConverters$.$anonfun$toAvroType$2(SchemaConverters.scala:204)
       at scala.collection.Iterator.foreach(Iterator.scala:943)
       at scala.collection.Iterator.foreach$(Iterator.scala:943)
       at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
       at scala.collection.IterableLike.foreach(IterableLike.scala:74)
       at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
       at org.apache.spark.sql.types.StructType.foreach(StructType.scala:102)
       at 
org.apache.hudi.org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:202)
       at 
org.apache.spark.sql.catalyst.catalog.HoodieCatalogTable.initHoodieTable(HoodieCatalogTable.scala:192)
       at 
org.apache.spark.sql.hudi.command.CreateHoodieTableCommand.run(CreateHoodieTableCommand.scala:71)
       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$lzycompute(QueryExecution.scala:80)
       at 
org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
       at org.apache.spark.sql.Dataset.<init>(Dataset.scala:219)
       at org.apache.spark.sql.Dataset$.$anonfun$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)
   org.apache.hudi.org.apache.spark.sql.avro.IncompatibleSchemaException: 
Unexpected type VarcharType(16).
       at 
org.apache.hudi.org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:211)
       at 
org.apache.hudi.org.apache.spark.sql.avro.SchemaConverters$.$anonfun$toAvroType$2(SchemaConverters.scala:204)
       at scala.collection.Iterator.foreach(Iterator.scala:943)
       at scala.collection.Iterator.foreach$(Iterator.scala:943)
       at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
       at scala.collection.IterableLike.foreach(IterableLike.scala:74)
       at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
       at org.apache.spark.sql.types.StructType.foreach(StructType.scala:102)
       at 
org.apache.hudi.org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:202)
       at 
org.apache.spark.sql.catalyst.catalog.HoodieCatalogTable.initHoodieTable(HoodieCatalogTable.scala:192)
       at 
org.apache.spark.sql.hudi.command.CreateHoodieTableCommand.run(CreateHoodieTableCommand.scala:71)
       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$lzycompute(QueryExecution.scala:80)
       at 
org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:78)
       at org.apache.spark.sql.Dataset.<init>(Dataset.scala:219)
       at org.apache.spark.sql.Dataset$.$anonfun$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)
   
   ## JIRA info
   
   - Link: https://issues.apache.org/jira/browse/HUDI-6705
   - Type: Bug
   - Fix version(s):
     - 0.12.2


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]

Reply via email to