AwasthiSomesh commented on issue #11297:
URL: https://github.com/apache/iceberg/issues/11297#issuecomment-2405237112
@nastra
val spark = SparkSession
.builder()
.master("local[*]")
.appName("Test")
//.config("spark.sql.defaultCatalog", "spark_catalog")
.config("fs.azure.account.auth.type.someshadlsgen2.dfs.core.windows.net",
"OAuth")
.config("fs.azure.account.oauth.provider.type.someshadlsgen2.dfs.core.windows.net",
"org.apache.hadoop.fs.azurebfs.oauth2.ClientCredsTokenProvider")
.config("fs.azure.account.oauth2.client.id.someshadlsgen2.dfs.core.windows.net",
"XXXXXXX")
.config("fs.azure.account.oauth2.client.secret.someshadlsgen2.dfs.core.windows.net",
"XXXXXX")
.config("fs.azure.account.oauth2.client.endpoint.someshadlsgen2.dfs.core.windows.net",
"https://login.microsoftonline.com/XXXXXXXXXXXXXXXXx/oauth2/token";)
.config("spark.sql.catalog.spark_catalog",
"org.apache.iceberg.spark.SparkCatalog")
.config("spark.sql.catalog.spark_catalog.uri",
"thrift://hostname:9083")
.config("spark.sql.catalog.spark_catalog.warehouse.dir",
"/opt/hive/data/warehouse/")
.config("spark.sql.extensions",
"org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions")
.config("spark.sql.catalog.spark_catalog",
"org.apache.iceberg.spark.SparkSessionCatalog")
.config("spark.sql.spark_catalog.io-impl",
"org.apache.iceberg.azure.adlsv2.ADLSFileIO")
.config("spark.sql.hive.hiveserver2.jdbc.url","jdbc:hive2://hostname:10000/default")
.config("spark.sql.spark_catalog.include-credentials", "true")
.config("spark.sql.catalog.spark_catalog.type", "hive")
.config("iceberg.engine.hive.enabled",true).enableHiveSupport()
.getOrCreate();
Error:
24/10/02 23:29:11 INFO HiveMetaStoreClient: HMS client filtering is enabled.
24/10/02 23:29:11 INFO HiveMetaStoreClient: Resolved metastore uris:
[thrift://invsh005vm0101.informatica.com:9083]
24/10/02 23:29:11 INFO HiveMetaStoreClient: Trying to connect to metastore
with URI (thrift://invsh005vm0101.informatica.com:9083) in binary transport mode
24/10/02 23:29:11 INFO HiveMetaStoreClient: Opened a connection to
metastore, URI (thrift://invsh005vm0101.informatica.com:9083) current
connections: 1
24/10/02 23:29:11 INFO RetryingMetaStoreClient: RetryingMetaStoreClient
proxy=class org.apache.hadoop.hive.metastore.HiveMetaStoreClient ugi=soawasth
(auth:SIMPLE) retries=1 delay=1 lifetime=0
Exception in thread "main" org.apache.spark.sql.AnalysisException:
[TABLE_OR_VIEW_NOT_FOUND] The table or view `iceberg1table2` cannot be found.
Verify the spelling and correctness of the schema and catalog.
If you did not qualify the name with a schema, verify the current_schema()
output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF
EXISTS.; line 1 pos 14;
'Project [*]
+- 'UnresolvedRelation [iceberg1table2], [], false
at
org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.tableNotFound(package.scala:87)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$2(CheckAnalysis.scala:202)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$2$adapted(CheckAnalysis.scala:182)
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:244)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreachUp$1(TreeNode.scala:243)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreachUp$1$adapted(TreeNode.scala:243)
at scala.collection.Iterator.foreach(Iterator.scala:929)
at scala.collection.Iterator.foreach$(Iterator.scala:929)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1417)
at scala.collection.IterableLike.foreach(IterableLike.scala:71)
at scala.collection.IterableLike.foreach$(IterableLike.scala:70)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:243)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis0(CheckAnalysis.scala:182)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis0$(CheckAnalysis.scala:164)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis0(Analyzer.scala:188)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis(CheckAnalysis.scala:160)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis$(CheckAnalysis.scala:150)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:188)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:211)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:330)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:208)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:77)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:138)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:219)
at
org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:546)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:219)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at
org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:218)
at
org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:77)
at
org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:74)
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:66)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$4(SparkSession.scala:691)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:682)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:713)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:744)
at
Hive4StandAloneAzureAdlsgen2$.main(Hive4StandAloneAzureAdlsgen2.scala:36)
at Hive4StandAloneAzureAdlsgen2.main(Hive4StandAloneAzureAdlsgen2.scala)
24/10/02 23:29:12 INFO SparkContext: Invoking stop() from shutdown hook
24/10/02 23:29:12 INFO SparkContext: SparkContext is stopping with exitCode
0.
24/10/02 23:29:12 INFO SparkUI: Stopped Spark web UI at
http://invw16con46.informatica.com:4040/
24/10/02 23:29:12 INFO MapOutputTrackerMasterEndpoint:
MapOutputTrackerMasterEndpoint stopped!
24/10/02 23:29:12 INFO MemoryStore: MemoryStore cleared
24/10/02 23:29:12 INFO BlockManager: BlockManager stopped
24/10/02 23:29:12 INFO BlockManagerMaster: BlockManagerMaster stopped
24/10/02 23:29:12 INFO
OutputCommitCoordinator$OutputCommitCoordinatorEndpoint:
OutputCommitCoordinator stopped!
24/10/02 23:29:12 INFO SparkContext: Successfully stopped SparkContext
24/10/02 23:29:12 INFO ShutdownHookManager: Shutdown hook called
24/10/02 23:29:12 INFO ShutdownHookManager: Deleting directory
C:\Users\soawasth\AppData\Local\Temp\spark-274
Please let me know what we are missing
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