bkahloon edited a comment on issue #2202:
URL: https://github.com/apache/iceberg/issues/2202#issuecomment-786301938
*** Maybe I should create a new issue
I see in the docs that currently Iceberg only supports Hive 2.x. So I tried
querying the table from Spark. Here is the stack trace I got. Which is similar
to the trace I got for Hive (attached in thread above).
I can however, query the table just fine from Flink SQL.
I'd also like to point out that all of this testing was done from a
different EMR cluster than the one that wrote out the original data (Flink
streaming job). Indicating I'm able to connect to Glue to get the relevant
metadata, but for some reason Spark and Hive can't (Hive I understand that I
should be testing with version 2.x)
```
Flink SQL> select * from iceberg.iceberg_warehouse.iceberg_dummy_table;
[INFO] Result retrieval cancelled.
```
Spark-sql shell error:
```
spark-sql> select * from iceberg_dummy_table;
Error in query: org.apache.hadoop.hive.ql.metadata.HiveException: Unable to
fetch table iceberg_dummy_table. StorageDescriptor cannot be null for table:
iceberg_dummy_table (Service: null; Status Code: 0; Error Code: null; Request
ID: null; Proxy: null);
org.apache.spark.sql.AnalysisException:
org.apache.hadoop.hive.ql.metadata.HiveException: Unable to fetch table
iceberg_dummy_table. StorageDescriptor cannot be null for table:
iceberg_dummy_table (Service: null; Status Code: 0; Error Code: null; Request
ID: null; Proxy: null);
at
org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:113)
at
org.apache.spark.sql.hive.HiveExternalCatalog.tableExists(HiveExternalCatalog.scala:855)
at
org.apache.spark.sql.catalyst.catalog.ExternalCatalogWithListener.tableExists(ExternalCatalogWithListener.scala:146)
at
org.apache.spark.sql.catalyst.catalog.SessionCatalog.tableExists(SessionCatalog.scala:432)
at
org.apache.spark.sql.catalyst.catalog.SessionCatalog.requireTableExists(SessionCatalog.scala:185)
at
org.apache.spark.sql.catalyst.catalog.SessionCatalog.getTableMetadata(SessionCatalog.scala:445)
at
org.apache.spark.sql.execution.datasources.v2.V2SessionCatalog.loadTable(V2SessionCatalog.scala:66)
at
org.apache.spark.sql.connector.catalog.CatalogV2Util$.loadTable(CatalogV2Util.scala:283)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.loaded$lzycompute$1(Analyzer.scala:1010)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.loaded$1(Analyzer.scala:1010)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.$anonfun$lookupRelation$3(Analyzer.scala:1022)
at scala.Option.orElse(Option.scala:447)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveRelations$$lookupRelation(Analyzer.scala:1021)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$9.applyOrElse(Analyzer.scala:977)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$9.applyOrElse(Analyzer.scala:962)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUp$3(AnalysisHelper.scala:90)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:72)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUp$1(AnalysisHelper.scala:90)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp(AnalysisHelper.scala:86)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp$(AnalysisHelper.scala:84)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsUp(LogicalPlan.scala:29)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUp$2(AnalysisHelper.scala:87)
at
org.apache.spark.sql.catalyst.trees.TreeNode.applyFunctionIfChanged$1(TreeNode.scala:380)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:416)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:248)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:414)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:362)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUp$1(AnalysisHelper.scala:87)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp(AnalysisHelper.scala:86)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp$(AnalysisHelper.scala:84)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsUp(LogicalPlan.scala:29)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:962)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:934)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:149)
at
scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126)
at
scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122)
at scala.collection.immutable.List.foldLeft(List.scala:89)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:146)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:138)
at scala.collection.immutable.List.foreach(List.scala:392)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:138)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:176)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:170)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:130)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:116)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:104)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:116)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:154)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:201)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:153)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:68)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:149)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:153)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at
org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:153)
at
org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:68)
at
org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:66)
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:58)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:98)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:607)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:602)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:63)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:377)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.$anonfun$processLine$1(SparkSQLCLIDriver.scala:496)
at scala.collection.Iterator.foreach(Iterator.scala:941)
at scala.collection.Iterator.foreach$(Iterator.scala:941)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processLine(SparkSQLCLIDriver.scala:490)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:282)
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$$runMain(SparkSubmit.scala:936)
at
org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at
org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1015)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1024)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Unable to fetch
table iceberg_dummy_table. StorageDescriptor cannot be null for table:
iceberg_dummy_table (Service: null; Status Code: 0; Error Code: null; Request
ID: null; Proxy: null)
at org.apache.hadoop.hive.ql.metadata.Hive.getTable(Hive.java:1296)
at
org.apache.spark.sql.hive.client.HiveClientImpl.getRawTableOption(HiveClientImpl.scala:397)
at
org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$tableExists$1(HiveClientImpl.scala:411)
at
scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
at
org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$withHiveState$1(HiveClientImpl.scala:294)
at
org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:227)
at
org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:226)
at
org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:276)
at
org.apache.spark.sql.hive.client.HiveClientImpl.tableExists(HiveClientImpl.scala:411)
at
org.apache.spark.sql.hive.HiveExternalCatalog.$anonfun$tableExists$1(HiveExternalCatalog.scala:855)
at
scala.runtime.java8.JFunction0$mcZ$sp.apply(JFunction0$mcZ$sp.java:23)
at
org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:103)
... 90 more
Caused by: InvalidObjectException(message:StorageDescriptor cannot be null
for table: iceberg_dummy_table (Service: null; Status Code: 0; Error Code:
null; Request ID: null; Proxy: null))
at
com.amazonaws.glue.catalog.converters.BaseCatalogToHiveConverter$5.get(BaseCatalogToHiveConverter.java:51)
at
com.amazonaws.glue.catalog.converters.BaseCatalogToHiveConverter.getHiveException(BaseCatalogToHiveConverter.java:90)
at
com.amazonaws.glue.catalog.converters.BaseCatalogToHiveConverter.wrapInHiveException(BaseCatalogToHiveConverter.java:81)
at
com.amazonaws.glue.catalog.metastore.GlueMetastoreClientDelegate.getTable(GlueMetastoreClientDelegate.java:430)
at
com.amazonaws.glue.catalog.metastore.AWSCatalogMetastoreClient.getTable(AWSCatalogMetastoreClient.java:1008)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.hadoop.hive.metastore.HiveMetaStoreClient$SynchronizedHandler.invoke(HiveMetaStoreClient.java:2364)
at com.sun.proxy.$Proxy37.getTable(Unknown Source)
at org.apache.hadoop.hive.ql.metadata.Hive.getTable(Hive.java:1288)
... 101 more
```
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