jovezhong opened a new issue, #6648:
URL: https://github.com/apache/gravitino/issues/6648
### Version
main branch
### Describe what's wrong
With JDBC backend, now I can create database but failed to create table. A
vague "Cannot parse missing field" message but I cannot see the detailed log
for which field is missing
```
spark-sql (dml)> CREATE TABLE dml.test (id bigint COMMENT 'unique id') using
iceberg;
CREATE TABLE dml.test (id bigint COMMENT 'unique id') using iceberg
25/03/09 19:42:52 WARN ErrorHandlers: Unable to parse error response
java.lang.IllegalArgumentException: Cannot parse missing field: error
```
### Error message and/or stacktrace
```
spark-sql (dml)> CREATE TABLE dml.test (id bigint COMMENT 'unique id') using
iceberg;
CREATE TABLE dml.test (id bigint COMMENT 'unique id') using iceberg
25/03/09 19:42:52 WARN ErrorHandlers: Unable to parse error response
java.lang.IllegalArgumentException: Cannot parse missing field: error
at
org.apache.iceberg.relocated.com.google.common.base.Preconditions.checkArgument(Preconditions.java:143)
at
org.apache.iceberg.rest.responses.ErrorResponseParser.fromJson(ErrorResponseParser.java:79)
at org.apache.iceberg.util.JsonUtil.parse(JsonUtil.java:104)
at
org.apache.iceberg.rest.responses.ErrorResponseParser.fromJson(ErrorResponseParser.java:71)
at
org.apache.iceberg.rest.ErrorHandlers$DefaultErrorHandler.parseResponse(ErrorHandlers.java:194)
at org.apache.iceberg.rest.HTTPClient.throwFailure(HTTPClient.java:194)
at org.apache.iceberg.rest.HTTPClient.execute(HTTPClient.java:308)
at org.apache.iceberg.rest.BaseHTTPClient.post(BaseHTTPClient.java:88)
at org.apache.iceberg.rest.RESTClient.post(RESTClient.java:113)
at
org.apache.iceberg.rest.RESTSessionCatalog$Builder.create(RESTSessionCatalog.java:848)
at
org.apache.iceberg.CachingCatalog$CachingTableBuilder.lambda$create$0(CachingCatalog.java:264)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.lambda$doComputeIfAbsent$14(BoundedLocalCache.java:2406)
at
java.base/java.util.concurrent.ConcurrentHashMap.compute(ConcurrentHashMap.java:1916)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.doComputeIfAbsent(BoundedLocalCache.java:2404)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.computeIfAbsent(BoundedLocalCache.java:2387)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalCache.computeIfAbsent(LocalCache.java:108)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalManualCache.get(LocalManualCache.java:62)
at
org.apache.iceberg.CachingCatalog$CachingTableBuilder.create(CachingCatalog.java:260)
at
org.apache.iceberg.spark.SparkCatalog.createTable(SparkCatalog.java:246)
at
org.apache.spark.sql.connector.catalog.TableCatalog.createTable(TableCatalog.java:223)
at
org.apache.spark.sql.execution.datasources.v2.CreateTableExec.run(CreateTableExec.scala:44)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result$lzycompute(V2CommandExec.scala:43)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result(V2CommandExec.scala:43)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.executeCollect(V2CommandExec.scala:49)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:107)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:107)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:461)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:461)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala: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:437)
at
org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:98)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:85)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:83)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:220)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$4(SparkSession.scala:691)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:682)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:713)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:744)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:651)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:68)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:501)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:619)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:613)
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:613)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:310)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:569)
at
org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at
org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:1029)
at
org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:194)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:217)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:91)
at
org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1120)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1129)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
25/03/09 19:42:52 ERROR SparkSQLDriver: Failed in [CREATE TABLE dml.test (id
bigint COMMENT 'unique id') using iceberg]
org.apache.iceberg.exceptions.ServiceFailureException: Server error: null: {
"servlet":"org.glassfish.jersey.servlet.ServletContainer-3e5499cc",
"message":"Request failed.",
"url":"/iceberg/v1/namespaces/dml/tables",
"status":"500"
}
at
org.apache.iceberg.rest.ErrorHandlers$DefaultErrorHandler.accept(ErrorHandlers.java:217)
at
org.apache.iceberg.rest.ErrorHandlers$TableErrorHandler.accept(ErrorHandlers.java:118)
at
org.apache.iceberg.rest.ErrorHandlers$TableErrorHandler.accept(ErrorHandlers.java:102)
at org.apache.iceberg.rest.HTTPClient.throwFailure(HTTPClient.java:224)
at org.apache.iceberg.rest.HTTPClient.execute(HTTPClient.java:308)
at org.apache.iceberg.rest.BaseHTTPClient.post(BaseHTTPClient.java:88)
at org.apache.iceberg.rest.RESTClient.post(RESTClient.java:113)
at
org.apache.iceberg.rest.RESTSessionCatalog$Builder.create(RESTSessionCatalog.java:848)
at
org.apache.iceberg.CachingCatalog$CachingTableBuilder.lambda$create$0(CachingCatalog.java:264)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.lambda$doComputeIfAbsent$14(BoundedLocalCache.java:2406)
at
java.base/java.util.concurrent.ConcurrentHashMap.compute(ConcurrentHashMap.java:1916)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.doComputeIfAbsent(BoundedLocalCache.java:2404)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.computeIfAbsent(BoundedLocalCache.java:2387)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalCache.computeIfAbsent(LocalCache.java:108)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalManualCache.get(LocalManualCache.java:62)
at
org.apache.iceberg.CachingCatalog$CachingTableBuilder.create(CachingCatalog.java:260)
at
org.apache.iceberg.spark.SparkCatalog.createTable(SparkCatalog.java:246)
at
org.apache.spark.sql.connector.catalog.TableCatalog.createTable(TableCatalog.java:223)
at
org.apache.spark.sql.execution.datasources.v2.CreateTableExec.run(CreateTableExec.scala:44)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result$lzycompute(V2CommandExec.scala:43)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result(V2CommandExec.scala:43)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.executeCollect(V2CommandExec.scala:49)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:107)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:107)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:461)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:461)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala: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:437)
at
org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:98)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:85)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:83)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:220)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$4(SparkSession.scala:691)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:682)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:713)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:744)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:651)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:68)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:501)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:619)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:613)
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:613)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:310)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:569)
at
org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at
org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:1029)
at
org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:194)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:217)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:91)
at
org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1120)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1129)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Server error: null: {
"servlet":"org.glassfish.jersey.servlet.ServletContainer-3e5499cc",
"message":"Request failed.",
"url":"/iceberg/v1/namespaces/dml/tables",
"status":"500"
}
org.apache.iceberg.exceptions.ServiceFailureException: Server error: null: {
"servlet":"org.glassfish.jersey.servlet.ServletContainer-3e5499cc",
"message":"Request failed.",
"url":"/iceberg/v1/namespaces/dml/tables",
"status":"500"
}
at
org.apache.iceberg.rest.ErrorHandlers$DefaultErrorHandler.accept(ErrorHandlers.java:217)
at
org.apache.iceberg.rest.ErrorHandlers$TableErrorHandler.accept(ErrorHandlers.java:118)
at
org.apache.iceberg.rest.ErrorHandlers$TableErrorHandler.accept(ErrorHandlers.java:102)
at org.apache.iceberg.rest.HTTPClient.throwFailure(HTTPClient.java:224)
at org.apache.iceberg.rest.HTTPClient.execute(HTTPClient.java:308)
at org.apache.iceberg.rest.BaseHTTPClient.post(BaseHTTPClient.java:88)
at org.apache.iceberg.rest.RESTClient.post(RESTClient.java:113)
at
org.apache.iceberg.rest.RESTSessionCatalog$Builder.create(RESTSessionCatalog.java:848)
at
org.apache.iceberg.CachingCatalog$CachingTableBuilder.lambda$create$0(CachingCatalog.java:264)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.lambda$doComputeIfAbsent$14(BoundedLocalCache.java:2406)
at
java.base/java.util.concurrent.ConcurrentHashMap.compute(ConcurrentHashMap.java:1916)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.doComputeIfAbsent(BoundedLocalCache.java:2404)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.computeIfAbsent(BoundedLocalCache.java:2387)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalCache.computeIfAbsent(LocalCache.java:108)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalManualCache.get(LocalManualCache.java:62)
at
org.apache.iceberg.CachingCatalog$CachingTableBuilder.create(CachingCatalog.java:260)
at
org.apache.iceberg.spark.SparkCatalog.createTable(SparkCatalog.java:246)
at
org.apache.spark.sql.connector.catalog.TableCatalog.createTable(TableCatalog.java:223)
at
org.apache.spark.sql.execution.datasources.v2.CreateTableExec.run(CreateTableExec.scala:44)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result$lzycompute(V2CommandExec.scala:43)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result(V2CommandExec.scala:43)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.executeCollect(V2CommandExec.scala:49)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:107)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:107)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:461)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:461)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala: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:437)
at
org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:98)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:85)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:83)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:220)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$4(SparkSession.scala:691)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:682)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:713)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:744)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:651)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:68)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:501)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:619)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1$adapted(SparkSQLCLIDriver.scala:613)
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:613)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:310)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:569)
at
org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at
org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:1029)
at
org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:194)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:217)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:91)
at
org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1120)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1129)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
```
### How to reproduce
The conf
```
gravitino.iceberg-rest.catalog-backend = jdbc
gravitino.iceberg-rest.catalog-backend-name = public
gravitino.iceberg-rest.jdbc-driver = org.postgresql.Driver
gravitino.iceberg-rest.uri =
jdbc:postgresql://demo-timeplus.aivencloud.com:28851/defaultdb?ssl=require
gravitino.iceberg-rest.jdbc-user = avnadmin
gravitino.iceberg-rest.jdbc-password = masked
gravitino.iceberg-rest.jdbc-initialize = true
gravitino.iceberg-rest.warehouse = s3://tp-internal2/jove/gravitino1
gravitino.iceberg-rest.io-impl= org.apache.iceberg.aws.s3.S3FileIO
gravitino.iceberg-rest.s3-endpoint =
https://tp-internal2.s3.us-west-2.amazonaws.com
gravitino.iceberg-rest.s3-region = us-west-2
gravitino.iceberg-rest.credential-providers = s3-secret-key
gravitino.iceberg-rest.s3-access-key-id = masked
gravitino.iceberg-rest.s3-secret-access-key = masked
```
SparkSQL CLI
```
spark-sql -v --packages
org.apache.iceberg:iceberg-spark-runtime-3.5_2.12:1.8.1,org.apache.iceberg:iceberg-aws-bundle:1.8.1,software.amazon.awssdk:bundle:2.30.2,software.amazon.awssdk:url-connection-client:2.30.2
\
--conf spark.sql.defaultCatalog=spark_catalog \
--conf spark.sql.defaultSchema=spark_catalog \
--conf
spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions
\
--conf spark.sql.catalog.spark_catalog=org.apache.iceberg.spark.SparkCatalog
\
--conf spark.sql.catalog.spark_catalog.type=rest \
--conf spark.sql.catalog.spark_catalog.uri=http://127.0.0.1:9001/iceberg/ \
--conf
spark.sql.catalog.spark_catalog.warehouse=s3://tp-internal2/jove/gravitino1 \
--conf
spark.sql.catalog.spark_catalog.io-impl=org.apache.iceberg.aws.s3.S3FileIO \
--conf spark.sql.catalog.spark_catalog.rest-metrics-reporting-enabled=false \
--conf
spark.sql.catalog.spark_catalog.header.X-Iceberg-Access-Delegation=vended-credentials
```
### Additional context
_No response_
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