ExplorData24 opened a new issue, #9244:
URL: https://github.com/apache/iceberg/issues/9244
### Apache Iceberg version
1.0.0
### Query engine
Spark
### Please describe the bug 🐞
Hello everyone.
I am using Hive Catalog to create Iceberg tables with Spark as the execution
engine:
conf = (
pyspark.SparkConf()
.setAppName('app_name')
#packages
.set('spark.jars.packages',
'org.apache.iceberg:iceberg-spark-runtime-3.3_2.12:1.0.0,software.amazon.awssdk:bundle:2.17.178,software.amazon.awssdk:url-connection-client:2.17.178')
#SQL Extensions
.set('spark.sql.extensions',
'org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions')
#Configuring Catalog
.set('spark.sql.catalog.catalog_hive',
'org.apache.iceberg.spark.SparkCatalog')
.set('spark.sql.catalog.catalog_hive.type', 'hive')
.set('spark.sql.catalog.catalog_hive.uri', HIVE_URI)
.set('spark.sql.catalog.catalog_hive.warehouse', WAREHOUSE)
.set('spark.sql.catalog.catalog_hive.endpoint', AWS_S3_ENDPOINT)
.set('spark.sql.catalog.catalog_hive.io-impl',
'org.apache.iceberg.aws.s3.S3FileIO')
.set('spark.hadoop.fs.s3a.access.key', AWS_ACCESS_KEY)
.set('spark.hadoop.fs.s3a.secret.key', AWS_SECRET_KEY)
)
## Start Spark Session
spark = SparkSession.builder.config(conf=conf).getOrCreate()
print("Spark Running")
## Create a Table
spark.sql("CREATE TABLE catalog_hive.default.table (name STRING) USING
iceberg;").show()
When I try to run createTable command it gives me an exception:
Spark Running
23/12/07 16:47:16 WARN metastore: Failed to connect to the MetaStore
Server...
23/12/07 16:47:17 WARN metastore: Failed to connect to the MetaStore
Server...
23/12/07 16:47:18 WARN metastore: Failed to connect to the MetaStore
Server...
---------------------------------------------------------------------------
Py4JJavaError Traceback (most recent call last)
Cell In[2], line 36
34 print("Spark Running")
35 ## Create a Table
---> 36 spark.sql("CREATE TABLE catalog_hive.default.table (name STRING)
USING iceberg;").show()
37 ## Insert Some Data
38 spark.sql("INSERT INTO catalog_hive.default.table VALUES ('Alex
Merced'), ('Dipankar Mazumdar'), ('Jason Hughes')").show()
File ~/.local/lib/python3.10/site-packages/pyspark/sql/session.py:1034, in
SparkSession.sql(self, sqlQuery, **kwargs)
1032 sqlQuery = formatter.format(sqlQuery, **kwargs)
1033 try:
-> 1034 return DataFrame(self._jsparkSession.sql(sqlQuery), self)
1035 finally:
1036 if len(kwargs) > 0:
File ~/.local/lib/python3.10/site-packages/py4j/java_gateway.py:1321, in
JavaMember.__call__(self, *args)
1315 command = proto.CALL_COMMAND_NAME +\
1316 self.command_header +\
1317 args_command +\
1318 proto.END_COMMAND_PART
1320 answer = self.gateway_client.send_command(command)
-> 1321 return_value = get_return_value(
1322 answer, self.gateway_client, self.target_id, self.name)
1324 for temp_arg in temp_args:
1325 temp_arg._detach()
File ~/.local/lib/python3.10/site-packages/pyspark/sql/utils.py:190, in
capture_sql_exception.<locals>.deco(*a, **kw)
188 def deco(*a: Any, **kw: Any) -> Any:
189 try:
--> 190 return f(*a, **kw)
191 except Py4JJavaError as e:
192 converted = convert_exception(e.java_exception)
File ~/.local/lib/python3.10/site-packages/py4j/protocol.py:326, in
get_return_value(answer, gateway_client, target_id, name)
324 value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
325 if answer[1] == REFERENCE_TYPE:
--> 326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
331 "An error occurred while calling {0}{1}{2}. Trace:\n{3}\n".
332 format(target_id, ".", name, value))
Py4JJavaError: An error occurred while calling o47.sql.
: org.apache.iceberg.hive.RuntimeMetaException: Failed to connect to Hive
Metastore
at
org.apache.iceberg.hive.HiveClientPool.newClient(HiveClientPool.java:84)
at
org.apache.iceberg.hive.HiveClientPool.newClient(HiveClientPool.java:34)
at org.apache.iceberg.ClientPoolImpl.get(ClientPoolImpl.java:125)
at org.apache.iceberg.ClientPoolImpl.run(ClientPoolImpl.java:56)
at org.apache.iceberg.ClientPoolImpl.run(ClientPoolImpl.java:51)
at
org.apache.iceberg.hive.CachedClientPool.run(CachedClientPool.java:82)
at
org.apache.iceberg.hive.HiveTableOperations.doRefresh(HiveTableOperations.java:205)
at
org.apache.iceberg.BaseMetastoreTableOperations.refresh(BaseMetastoreTableOperations.java:95)
at
org.apache.iceberg.BaseMetastoreTableOperations.current(BaseMetastoreTableOperations.java:78)
at
org.apache.iceberg.BaseMetastoreCatalog.loadTable(BaseMetastoreCatalog.java:43)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.lambda$doComputeIfAbsent$14(BoundedLocalCache.java:2406)
at
java.base/java.util.concurrent.ConcurrentHashMap.compute(ConcurrentHashMap.java:1908)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.doComputeIfAbsent(BoundedLocalCache.java:2404)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.computeIfAbsent(BoundedLocalCache.java:2387)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalCache.computeIfAbsent(LocalCache.java:108)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalManualCache.get(LocalManualCache.java:62)
at org.apache.iceberg.CachingCatalog.loadTable(CachingCatalog.java:166)
at org.apache.iceberg.spark.SparkCatalog.load(SparkCatalog.java:587)
at
org.apache.iceberg.spark.SparkCatalog.loadTable(SparkCatalog.java:142)
at org.apache.iceberg.spark.SparkCatalog.loadTable(SparkCatalog.java:99)
at
org.apache.spark.sql.connector.catalog.TableCatalog.tableExists(TableCatalog.java:156)
at
org.apache.spark.sql.execution.datasources.v2.CreateTableExec.run(CreateTableExec.scala:43)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result$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$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:98)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:109)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:169)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:94)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:584)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$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:560)
at
org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:94)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:81)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:79)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:220)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:622)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:617)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
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:829)
Caused by: java.lang.RuntimeException: Unable to instantiate
org.apache.hadoop.hive.metastore.HiveMetaStoreClient
at
org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1742)
at
org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:83)
at
org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:133)
at
org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:104)
at
org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:97)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at
org.apache.iceberg.common.DynMethods$UnboundMethod.invokeChecked(DynMethods.java:60)
at
org.apache.iceberg.common.DynMethods$UnboundMethod.invoke(DynMethods.java:72)
at
org.apache.iceberg.common.DynMethods$StaticMethod.invoke(DynMethods.java:185)
at
org.apache.iceberg.hive.HiveClientPool.newClient(HiveClientPool.java:63)
... 63 more
Caused by: java.lang.reflect.InvocationTargetException
at
java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native
Method)
at
java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at
java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at
java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:490)
at
org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1740)
... 75 more
Caused by: MetaException(message:Could not connect to meta store using any
of the URIs provided. Most recent failure:
org.apache.thrift.transport.TTransportException: java.net.UnknownHostException:
nessie
at org.apache.thrift.transport.TSocket.open(TSocket.java:226)
at
org.apache.hadoop.hive.metastore.HiveMetaStoreClient.open(HiveMetaStoreClient.java:478)
at
org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:245)
at
java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native
Method)
at
java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at
java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at
java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:490)
at
org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1740)
at
org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:83)
at
org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:133)
at
org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:104)
at
org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:97)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at
org.apache.iceberg.common.DynMethods$UnboundMethod.invokeChecked(DynMethods.java:60)
at
org.apache.iceberg.common.DynMethods$UnboundMethod.invoke(DynMethods.java:72)
at
org.apache.iceberg.common.DynMethods$StaticMethod.invoke(DynMethods.java:185)
at
org.apache.iceberg.hive.HiveClientPool.newClient(HiveClientPool.java:63)
at
org.apache.iceberg.hive.HiveClientPool.newClient(HiveClientPool.java:34)
at org.apache.iceberg.ClientPoolImpl.get(ClientPoolImpl.java:125)
at org.apache.iceberg.ClientPoolImpl.run(ClientPoolImpl.java:56)
at org.apache.iceberg.ClientPoolImpl.run(ClientPoolImpl.java:51)
at
org.apache.iceberg.hive.CachedClientPool.run(CachedClientPool.java:82)
at
org.apache.iceberg.hive.HiveTableOperations.doRefresh(HiveTableOperations.java:205)
at
org.apache.iceberg.BaseMetastoreTableOperations.refresh(BaseMetastoreTableOperations.java:95)
at
org.apache.iceberg.BaseMetastoreTableOperations.current(BaseMetastoreTableOperations.java:78)
at
org.apache.iceberg.BaseMetastoreCatalog.loadTable(BaseMetastoreCatalog.java:43)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.lambda$doComputeIfAbsent$14(BoundedLocalCache.java:2406)
at
java.base/java.util.concurrent.ConcurrentHashMap.compute(ConcurrentHashMap.java:1908)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.doComputeIfAbsent(BoundedLocalCache.java:2404)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.computeIfAbsent(BoundedLocalCache.java:2387)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalCache.computeIfAbsent(LocalCache.java:108)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalManualCache.get(LocalManualCache.java:62)
at org.apache.iceberg.CachingCatalog.loadTable(CachingCatalog.java:166)
at org.apache.iceberg.spark.SparkCatalog.load(SparkCatalog.java:587)
at
org.apache.iceberg.spark.SparkCatalog.loadTable(SparkCatalog.java:142)
at org.apache.iceberg.spark.SparkCatalog.loadTable(SparkCatalog.java:99)
at
org.apache.spark.sql.connector.catalog.TableCatalog.tableExists(TableCatalog.java:156)
at
org.apache.spark.sql.execution.datasources.v2.CreateTableExec.run(CreateTableExec.scala:43)
at
org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result$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$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:98)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:109)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:169)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:94)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:584)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$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:560)
at
org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:94)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:81)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:79)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:220)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:622)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:617)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
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:829)
Caused by: java.net.UnknownHostException: nessie
at
java.base/java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:229)
at java.base/java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.base/java.net.Socket.connect(Socket.java:609)
at org.apache.thrift.transport.TSocket.open(TSocket.java:221)
... 82 more
)
at
org.apache.hadoop.hive.metastore.HiveMetaStoreClient.open(HiveMetaStoreClient.java:527)
at
org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:245)
... 80 more
Please let me know what I might be doing wrong.
thanks in advance.
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