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Posted to issues@iceberg.apache.org by "nagashreeUp (via GitHub)" <gi...@apache.org> on 2026/01/30 09:19:04 UTC
[I] BigLake Iceberg Table: Creating name NameSpace throws org.apache.iceberg.exceptions.RESTException: Unable to process: RPC error [iceberg]
nagashreeUp opened a new issue, #15185:
URL: https://github.com/apache/iceberg/issues/15185
### Apache Iceberg version
1.10.1 (latest release)
### Query engine
Spark
### Please describe the bug 🐞
Hi,
I am trying to create a namespace in biglake catalog by following google document https://docs.cloud.google.com/biglake/docs/blms-rest-catalog#configure-catalog
Catalog was created before executing below code.
Code snippet:
import pyspark
from pyspark.context import SparkContext
from pyspark.sql import SparkSession
catalog_name = "biglake_restcatalog"
WAREHOUSE_PATH = "gs://xx/warehouse"
PROJECT_ID="xx"
spark = SparkSession.builder.appName("restCatalog") \
.config(f'spark.sql.catalog.{catalog_name}', 'org.apache.iceberg.spark.SparkCatalog') \
.config(f'spark.sql.catalog.{catalog_name}.type', 'rest') \
.config(f'spark.sql.catalog.{catalog_name}.uri', 'https://biglake.googleapis.com/iceberg/v1/restcatalog') \
.config(f'spark.sql.catalog.{catalog_name}.warehouse', WAREHOUSE_PATH) \
.config(f'spark.sql.catalog.{catalog_name}.header.x-goog-user-project', PROJECT_ID) \
.config(f'spark.sql.catalog.{catalog_name}.rest.auth.type', 'org.apache.iceberg.gcp.auth.GoogleAuthManager') \
.config(f'spark.sql.catalog.{catalog_name}.io-impl', 'org.apache.iceberg.gcp.gcs.GCSFileIO') \
.config(f'spark.sql.catalog.{catalog_name}.rest-metrics-reporting-enabled', 'false') \
.config('spark.sql.extensions', 'org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions') \
.config('spark.sql.defaultCatalog', catalog_name) \
.getOrCreate()
print("Spark session created.")
spark.sql("SHOW NAMESPACES IN biglake_restcatalog")
#spark.sql("CREATE NAMESPACE IF NOT EXISTS biglake_restcatalog_namespace;")
#spark.sql("USE biglake_restcatalog_namespace;")
#spark.sql("CREATE TABLE biglake_restcatalog_namespace.demo (id int, data string) USING ICEBERG;")
#spark.sql("DESCRIBE biglake_restcatalog_namespace.demo").show()
spark-submit --conf spark.sql.catalogImplementation=in-memory biglake2.py
Execution throws below error -
AuthManagers: Loading AuthManager implementation: org.apache.iceberg.gcp.auth.GoogleAuthManager
26/01/30 04:09:48 INFO GoogleAuthManager: Using Application Default Credentials with scopes: https://www.googleapis.com/auth/cloud-platform
Traceback (most recent call last):
File "/root/biglake2.py", line 25, in <module>
spark.sql("SHOW NAMESPACES IN biglake_restcatalog")
File "/root/spark_hadoop/spark-3.5.1-bin-hadoop3/python/lib/pyspark.zip/pyspark/sql/session.py", line 1631, in sql
File "/root/spark_hadoop/spark-3.5.1-bin-hadoop3/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1323, in __call__
File "/root/spark_hadoop/spark-3.5.1-bin-hadoop3/python/lib/pyspark.zip/pyspark/errors/exceptions/captured.py", line 179, in deco
File "/root/spark_hadoop/spark-3.5.1-bin-hadoop3/python/lib/py4j-0.10.9.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o44.sql.
: org.apache.iceberg.exceptions.RESTException: Unable to process: RPC error
at org.apache.iceberg.rest.ErrorHandlers$DefaultErrorHandler.accept(ErrorHandlers.java:250)
at org.apache.iceberg.rest.ErrorHandlers$DefaultErrorHandler.accept(ErrorHandlers.java:214)
at org.apache.iceberg.rest.HTTPClient.throwFailure(HTTPClient.java:240)
at org.apache.iceberg.rest.HTTPClient.execute(HTTPClient.java:336)
at org.apache.iceberg.rest.HTTPClient.execute(HTTPClient.java:297)
at org.apache.iceberg.rest.BaseHTTPClient.get(BaseHTTPClient.java:77)
at org.apache.iceberg.rest.RESTSessionCatalog.fetchConfig(RESTSessionCatalog.java:1023)
at org.apache.iceberg.rest.RESTSessionCatalog.initialize(RESTSessionCatalog.java:205)
at org.apache.iceberg.rest.RESTCatalog.initialize(RESTCatalog.java:82)
at org.apache.iceberg.CatalogUtil.loadCatalog(CatalogUtil.java:280)
at org.apache.iceberg.CatalogUtil.buildIcebergCatalog(CatalogUtil.java:337)
at org.apache.iceberg.spark.SparkCatalog.buildIcebergCatalog(SparkCatalog.java:154)
at org.apache.iceberg.spark.SparkCatalog.initialize(SparkCatalog.java:754)
at org.apache.spark.sql.connector.catalog.Catalogs$.load(Catalogs.scala:65)
at org.apache.spark.sql.connector.catalog.CatalogManager.$anonfun$catalog$1(CatalogManager.scala:53)
at scala.collection.mutable.HashMap.getOrElseUpdate(HashMap.scala:86)
at org.apache.spark.sql.connector.catalog.CatalogManager.catalog(CatalogManager.scala:53)
at org.apache.spark.sql.connector.catalog.LookupCatalog$CatalogAndNamespace$.unapply(LookupCatalog.scala:86)
at org.apache.spark.sql.catalyst.analysis.ResolveCatalogs$$anonfun$apply$1.applyOrElse(ResolveCatalogs.scala:51)
at org.apache.spark.sql.catalyst.analysis.ResolveCatalogs$$anonfun$apply$1.applyOrElse(ResolveCatalogs.scala:30)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$2(AnalysisHelper.scala:170)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$1(AnalysisHelper.scala:170)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:323)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning(AnalysisHelper.scala:168)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning$(AnalysisHelper.scala:164)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDownWithPruning(LogicalPlan.scala:32)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$4(AnalysisHelper.scala:175)
at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren(TreeNode.scala:1215)
at org.apache.spark.sql.catalyst.trees.UnaryLike.mapChildren$(TreeNode.scala:1214)
at org.apache.spark.sql.catalyst.plans.logical.ShowNamespaces.mapChildren(v2Commands.scala:615)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$1(AnalysisHelper.scala:175)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:323)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning(AnalysisHelper.scala:168)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning$(AnalysisHelper.scala:164)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDownWithPruning(LogicalPlan.scala:32)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsWithPruning(AnalysisHelper.scala:99)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsWithPruning$(AnalysisHelper.scala:96)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsWithPruning(LogicalPlan.scala:32)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperators(AnalysisHelper.scala:76)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperators$(AnalysisHelper.scala:75)
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:32)
at org.apache.spark.sql.catalyst.analysis.ResolveCatalogs.apply(ResolveCatalogs.scala:30)
at org.apache.spark.sql.catalyst.analysis.ResolveCatalogs.apply(ResolveCatalogs.scala:27)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:222)
at scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126)
at scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122)
at scala.collection.immutable.List.foldLeft(List.scala:91)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:219)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:211)
at scala.collection.immutable.List.foreach(List.scala:431)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:211)
at org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:226)
at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$execute$1(Analyzer.scala:222)
at org.apache.spark.sql.catalyst.analysis.AnalysisContext$.withNewAnalysisContext(Analyzer.scala:173)
at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:222)
at org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:188)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:182)
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:89)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:182)
at org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:209)
at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.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$1(SparkSession.scala:638)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:629)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:659)
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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:840)
Any pointers to solve this error would be very helpful.
### Willingness to contribute
- [ ] I can contribute a fix for this bug independently
- [x] I would be willing to contribute a fix for this bug with guidance from the Iceberg community
- [ ] I cannot contribute a fix for this bug at this time
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Re: [I] BigLake Iceberg Table: Creating NAMESPACE/TABLE sql throws org.apache.iceberg.exceptions.RESTException: Unable to process: RPC error [iceberg]
Posted by "ebyhr (via GitHub)" <gi...@apache.org>.
ebyhr commented on issue #15185:
URL: https://github.com/apache/iceberg/issues/15185#issuecomment-3832401875
What if you explicitly provide `gcp.auth.credentials-path` property?
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Re: [I] BigLake Iceberg Table: Creating NAMESPACE/TABLE sql throws org.apache.iceberg.exceptions.RESTException: Unable to process: RPC error [iceberg]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on issue #15185:
URL: https://github.com/apache/iceberg/issues/15185#issuecomment-5154209606
This issue has been automatically marked as stale because it has been open for 180 days with no activity. It will be closed in next 14 days if no further activity occurs. To permanently prevent this issue from being considered stale, add the label 'not-stale', but commenting on the issue is preferred when possible.
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Re: [I] BigLake Iceberg Table: Creating NAMESPACE/TABLE sql throws org.apache.iceberg.exceptions.RESTException: Unable to process: RPC error [iceberg]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on issue #15185:
URL: https://github.com/apache/iceberg/issues/15185#issuecomment-5310406452
This issue has been closed because it has not received any activity in the last 14 days since being marked as 'stale'
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Re: [I] BigLake Iceberg Table: Creating NAMESPACE/TABLE sql throws org.apache.iceberg.exceptions.RESTException: Unable to process: RPC error [iceberg]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] closed issue #15185: BigLake Iceberg Table: Creating NAMESPACE/TABLE sql throws org.apache.iceberg.exceptions.RESTException: Unable to process: RPC error
URL: https://github.com/apache/iceberg/issues/15185
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