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Posted to issues@iceberg.apache.org by "zhangjiuyang1993 (via GitHub)" <gi...@apache.org> on 2023/01/31 05:54:01 UTC
[GitHub] [iceberg] zhangjiuyang1993 opened a new issue, #6708: Quick start docker-compose demo doesn't work
zhangjiuyang1993 opened a new issue, #6708:
URL: https://github.com/apache/iceberg/issues/6708
### Apache Iceberg version
0.14.1
### Query engine
Spark
### Please describe the bug 🐞
@nastra
version: "3"
services:
spark-iceberg:
image: tabulario/spark-iceberg
container_name: spark-iceberg
build: spark/
depends_on:
- rest
- minio
volumes:
- ./warehouse:/home/iceberg/warehouse
- ./notebooks:/home/iceberg/notebooks/notebooks
environment:
- AWS_ACCESS_KEY_ID=admin
- AWS_SECRET_ACCESS_KEY=password
- AWS_REGION=us-east-1
ports:
- 8888:8888
- 8080:8080
links:
- rest:rest
- minio:minio
rest:
image: tabulario/iceberg-rest:0.1.0
ports:
- 8181:8181
environment:
- AWS_ACCESS_KEY_ID=admin
- AWS_SECRET_ACCESS_KEY=password
- AWS_REGION=us-east-1
- CATALOG_WAREHOUSE=s3a://warehouse/wh/
- CATALOG_IO__IMPL=org.apache.iceberg.aws.s3.S3FileIO
- CATALOG_S3_ENDPOINT=http://minio:9000/
minio:
image: minio/minio
container_name: minio
environment:
- MINIO_ROOT_USER=admin
- MINIO_ROOT_PASSWORD=password
ports:
- 9001:9001
- 9000:9000
command: ["server", "/data", "--console-address", ":9001"]
mc:
depends_on:
- minio
image: minio/mc
container_name: mc
environment:
- AWS_ACCESS_KEY_ID=admin
- AWS_SECRET_ACCESS_KEY=password
- AWS_REGION=us-east-1
entrypoint: >
/bin/sh -c "
until (/usr/bin/mc config host add minio http://minio:9000/ admin password) do echo '...waiting...' && sleep 1; done;
/usr/bin/mc rm -r --force minio/warehouse;
/usr/bin/mc mb minio/warehouse;
/usr/bin/mc policy set public minio/warehouse;
exit 0;
"
While According to the configuration above, I got the following error：
23/01/31 01:43:58 WARN RESTSessionCatalog: Failed to report metrics to REST endpoint for table nyc.taxis
org.apache.iceberg.exceptions.BadRequestException: Malformed request: No route for request: POST v1/namespaces/nyc/tables/taxis/metrics
at org.apache.iceberg.rest.ErrorHandlers$DefaultErrorHandler.accept(ErrorHandlers.java:152)
at org.apache.iceberg.rest.ErrorHandlers$DefaultErrorHandler.accept(ErrorHandlers.java:135)
at org.apache.iceberg.rest.HTTPClient.throwFailure(HTTPClient.java:150)
at org.apache.iceberg.rest.HTTPClient.execute(HTTPClient.java:224)
at org.apache.iceberg.rest.HTTPClient.post(HTTPClient.java:269)
at org.apache.iceberg.rest.RESTClient.post(RESTClient.java:112)
at org.apache.iceberg.rest.RESTSessionCatalog.reportMetrics(RESTSessionCatalog.java:321)
at org.apache.iceberg.rest.RESTSessionCatalog.lambda$loadTable$2(RESTSessionCatalog.java:307)
at org.apache.iceberg.BaseTableScan.lambda$planFiles$0(BaseTableScan.java:168)
at org.apache.iceberg.io.CloseableIterable$3.close(CloseableIterable.java:95)
at org.apache.iceberg.spark.source.SparkBatchQueryScan.files(SparkBatchQueryScan.java:125)
at org.apache.iceberg.spark.source.SparkBatchQueryScan.tasks(SparkBatchQueryScan.java:138)
at org.apache.iceberg.spark.source.SparkScan.toBatch(SparkScan.java:111)
at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.batch$lzycompute(BatchScanExec.scala:42)
at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.batch(BatchScanExec.scala:42)
at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.inputPartitions$lzycompute(BatchScanExec.scala:54)
at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.inputPartitions(BatchScanExec.scala:54)
at org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanExecBase.supportsColumnar(DataSourceV2ScanExecBase.scala:142)
at org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanExecBase.supportsColumnar$(DataSourceV2ScanExecBase.scala:141)
at org.apache.spark.sql.execution.datasources.v2.BatchScanExec.supportsColumnar(BatchScanExec.scala:36)
at org.apache.spark.sql.execution.datasources.v2.DataSourceV2Strategy.apply(DataSourceV2Strategy.scala:143)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$1(QueryPlanner.scala:63)
at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:491)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
at org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:69)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$3(QueryPlanner.scala:78)
at scala.collection.TraversableOnce$folder$1.apply(TraversableOnce.scala:196)
at scala.collection.TraversableOnce$folder$1.apply(TraversableOnce.scala:194)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.TraversableOnce.foldLeft(TraversableOnce.scala:199)
at scala.collection.TraversableOnce.foldLeft$(TraversableOnce.scala:192)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1431)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$2(QueryPlanner.scala:75)
at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
at org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:69)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$3(QueryPlanner.scala:78)
at scala.collection.TraversableOnce$folder$1.apply(TraversableOnce.scala:196)
at scala.collection.TraversableOnce$folder$1.apply(TraversableOnce.scala:194)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.TraversableOnce.foldLeft(TraversableOnce.scala:199)
at scala.collection.TraversableOnce.foldLeft$(TraversableOnce.scala:192)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1431)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$2(QueryPlanner.scala:75)
at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
at org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:69)
at org.apache.spark.sql.execution.QueryExecution$.createSparkPlan(QueryExecution.scala:459)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$sparkPlan$1(QueryExecution.scala:145)
at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:185)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:510)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:185)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:184)
at org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:145)
at org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:138)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executedPlan$1(QueryExecution.scala:158)
at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:185)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:510)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:185)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:184)
at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:158)
at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:151)
at org.apache.spark.sql.execution.QueryExecution.simpleString(QueryExecution.scala:204)
at org.apache.spark.sql.execution.QueryExecution.org$apache$spark$sql$execution$QueryExecution$$explainString(QueryExecution.scala:249)
at org.apache.spark.sql.execution.QueryExecution.explainString(QueryExecution.scala:218)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.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.Dataset.withAction(Dataset.scala:3856)
at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:3685)
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)
Sorry if wrongly reported as bug.
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[GitHub] [iceberg] nastra commented on issue #6708: Quick start docker-compose demo doesn't work
Posted by "nastra (via GitHub)" <gi...@apache.org>.
nastra commented on issue #6708:
URL: https://github.com/apache/iceberg/issues/6708#issuecomment-1430868859
@zhangjiuyang1993 glad it works for you now. I'm going to close this then.
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[GitHub] [iceberg] zhangjiuyang1993 commented on issue #6708: Quick start docker-compose demo doesn't work
Posted by "zhangjiuyang1993 (via GitHub)" <gi...@apache.org>.
zhangjiuyang1993 commented on issue #6708:
URL: https://github.com/apache/iceberg/issues/6708#issuecomment-1411402841
Sometimes i run some sql scripts, the server occurs connection refused，for example:
%%sql
SELECT COUNT(*) as cnt
FROM nyc.taxis
---------------------------------------------------------------------------
ConnectionRefusedError Traceback (most recent call last)
Cell In[15], line 1
----> 1 get_ipython().run_cell_magic('sql', '', '\nSELECT COUNT(*) as cnt\nFROM nyc.taxis\n')
File /usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py:2422, in InteractiveShell.run_cell_magic(self, magic_name, line, cell)
2420 with self.builtin_trap:
2421 args = (magic_arg_s, cell)
-> 2422 result = fn(*args, **kwargs)
2423 return result
File ~/.ipython/profile_default/startup/00-prettytables.py:61, in sql(line, cell)
59 return _to_table(df, num_rows=args.limit)
60 else:
---> 61 return _to_table(spark.sql(cell))
File /opt/spark/python/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 /opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/java_gateway.py:1320, in JavaMember.__call__(self, *args)
1313 args_command, temp_args = self._build_args(*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:
File /opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/java_gateway.py:1036, in GatewayClient.send_command(self, command, retry, binary)
1015 def send_command(self, command, retry=True, binary=False):
1016 """Sends a command to the JVM. This method is not intended to be
1017 called directly by Py4J users. It is usually called by
1018 :class:`JavaMember` instances.
(...)
1034 if `binary` is `True`.
1035 """
-> 1036 connection = self._get_connection()
1037 try:
1038 response = connection.send_command(command)
File /opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py:284, in JavaClient._get_connection(self)
281 pass
283 if connection is None or connection.socket is None:
--> 284 connection = self._create_new_connection()
285 return connection
File /opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py:291, in JavaClient._create_new_connection(self)
287 def _create_new_connection(self):
288 connection = ClientServerConnection(
289 self.java_parameters, self.python_parameters,
290 self.gateway_property, self)
--> 291 connection.connect_to_java_server()
292 self.set_thread_connection(connection)
293 return connection
File /opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py:438, in ClientServerConnection.connect_to_java_server(self)
435 if self.ssl_context:
436 self.socket = self.ssl_context.wrap_socket(
437 self.socket, server_hostname=self.java_address)
--> 438 self.socket.connect((self.java_address, self.java_port))
439 self.stream = self.socket.makefile("rb")
440 self.is_connected = True
ConnectionRefusedError: [Errno 111] Connection refused
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[GitHub] [iceberg] nastra commented on issue #6708: Quick start docker-compose demo doesn't work
Posted by "nastra (via GitHub)" <gi...@apache.org>.
nastra commented on issue #6708:
URL: https://github.com/apache/iceberg/issues/6708#issuecomment-1410481495
You need to upgrade `tabulario/iceberg-rest:0.1.0` (uses Iceberg 1.0.0) to `tabulario/iceberg-rest:0.2.0` (uses Iceberg 1.1.0). That should fix it.
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[GitHub] [iceberg] nastra closed issue #6708: Quick start docker-compose demo doesn't work
Posted by "nastra (via GitHub)" <gi...@apache.org>.
nastra closed issue #6708: Quick start docker-compose demo doesn't work
URL: https://github.com/apache/iceberg/issues/6708
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[GitHub] [iceberg] Fokko commented on issue #6708: Quick start docker-compose demo doesn't work
Posted by "Fokko (via GitHub)" <gi...@apache.org>.
Fokko commented on issue #6708:
URL: https://github.com/apache/iceberg/issues/6708#issuecomment-1419814726
Can you run a `docker-compose pull` to make sure that you're running the latest version? We recently did some updates to the stack.
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[GitHub] [iceberg] zhangjiuyang1993 commented on issue #6708: Quick start docker-compose demo doesn't work
Posted by "zhangjiuyang1993 (via GitHub)" <gi...@apache.org>.
zhangjiuyang1993 commented on issue #6708:
URL: https://github.com/apache/iceberg/issues/6708#issuecomment-1411367934
While I run this command:
df = spark.read.parquet("/home/iceberg/data/yellow_tripdata_2021-04.parquet")
df.write.saveAsTable("nyc.taxis")
It occurs errors:
ERROR:root:Exception while sending command. (0 + 4) / 4]
Traceback (most recent call last):
File "/opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py", line 516, in send_command
raise Py4JNetworkError("Answer from Java side is empty")
py4j.protocol.Py4JNetworkError: Answer from Java side is empty
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/java_gateway.py", line 1038, in send_command
response = connection.send_command(command)
File "/opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py", line 539, in send_command
raise Py4JNetworkError(
py4j.protocol.Py4JNetworkError: Error while sending or receiving
ERROR:root:Exception while sending command.
Traceback (most recent call last):
File "/opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py", line 516, in send_command
raise Py4JNetworkError("Answer from Java side is empty")
py4j.protocol.Py4JNetworkError: Answer from Java side is empty
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/java_gateway.py", line 1038, in send_command
response = connection.send_command(command)
File "/opt/spark/python/lib/py4j-0.10.9.5-src.zip/py4j/clientserver.py", line 539, in send_command
raise Py4JNetworkError(
py4j.protocol.Py4JNetworkError: Error while sending or receiving
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[GitHub] [iceberg] zhangjiuyang1993 commented on issue #6708: Quick start docker-compose demo doesn't work
Posted by "zhangjiuyang1993 (via GitHub)" <gi...@apache.org>.
zhangjiuyang1993 commented on issue #6708:
URL: https://github.com/apache/iceberg/issues/6708#issuecomment-1430636016
It works. Thanks a lot.
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[GitHub] [iceberg] zhangjiuyang1993 commented on issue #6708: Quick start docker-compose demo doesn't work
Posted by "zhangjiuyang1993 (via GitHub)" <gi...@apache.org>.
zhangjiuyang1993 commented on issue #6708:
URL: https://github.com/apache/iceberg/issues/6708#issuecomment-1411368041
@nastra
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[GitHub] [iceberg] zhangjiuyang1993 commented on issue #6708: Quick start docker-compose demo doesn't work
Posted by "zhangjiuyang1993 (via GitHub)" <gi...@apache.org>.
zhangjiuyang1993 commented on issue #6708:
URL: https://github.com/apache/iceberg/issues/6708#issuecomment-1411351099
It works. Thanks a lot.
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[GitHub] [iceberg] nastra commented on issue #6708: Quick start docker-compose demo doesn't work
Posted by "nastra (via GitHub)" <gi...@apache.org>.
nastra commented on issue #6708:
URL: https://github.com/apache/iceberg/issues/6708#issuecomment-1412280147
This seems like a network issue. Is any of the components from the quickstart demo not reachable maybe?
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[GitHub] [iceberg] Fokko commented on issue #6708: Quick start docker-compose demo doesn't work
Posted by "Fokko (via GitHub)" <gi...@apache.org>.
Fokko commented on issue #6708:
URL: https://github.com/apache/iceberg/issues/6708#issuecomment-1419813815
> py4j.protocol.Py4JNetworkError: Answer from Java side is empty
Means that the Spark process has died. Do you see anything in the logs?
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[GitHub] [iceberg] zhangjiuyang1993 commented on issue #6708: Quick start docker-compose demo doesn't work
Posted by "zhangjiuyang1993 (via GitHub)" <gi...@apache.org>.
zhangjiuyang1993 commented on issue #6708:
URL: https://github.com/apache/iceberg/issues/6708#issuecomment-1413050964
No, the quickstart demo sometimes is not reachable.
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