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Posted to issues@iceberg.apache.org by GitBox <gi...@apache.org> on 2022/11/24 09:39:43 UTC
[GitHub] [iceberg] HannesDS opened a new issue, #6266: java.lang.ClassNotFoundException: org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions - using spark structured streaming
HannesDS opened a new issue, #6266:
URL: https://github.com/apache/iceberg/issues/6266
### Apache Iceberg version
1.0.0 (latest release)
### Query engine
Spark
### Please describe the bug 🐞
**Application**:
We are trying to use spark structured streaming in combination with iceberg. The application is containerised and behind the scenes running on EKS. Spark structured streaming worked well until we tried to add the iceberg extension. We have used iceberg successfully before in a local spark session before (not structured streaming).
**Environment**
We have tried with the following versions:
Iceberg version: 1.0.0 ; 0.14.1 ; 0.13.1
Spark version: 3.2.0 ; 3.0.3
AWS SDK version: 2.17.257 ; 2.18.22
Scala version: 2.12
Extra configuration included into the spark session:
`
REMOTE_CATALOG_NAME: str = "remote_glue_catalog"
config.setAll(
[
(
"spark.jars.packages",
"org.apache.iceberg:iceberg-spark-runtime-3.0_2.12:0.14.1",
),
("spark.jars.packages", "software.amazon.awssdk:bundle:2.17.257"),
(
"spark.jars.packages",
"software.amazon.awssdk:url-connection-client:2.17.257",
),
(
f"spark.sql.catalog.{REMOTE_CATALOG_NAME}",
"org.apache.iceberg.spark.SparkCatalog",
),
(
f"spark.sql.catalog.{REMOTE_CATALOG_NAME}.warehouse",
f"{aws.datalake_root_path()}/{table_name}/",
),
(
f"spark.sql.catalog.{REMOTE_CATALOG_NAME}.catalog-impl",
"org.apache.iceberg.aws.glue.GlueCatalog",
),
(
f"spark.sql.catalog.{REMOTE_CATALOG_NAME}.io-impl",
"org.apache.iceberg.aws.s3.S3FileIO",
),
(
"spark.sql.extensions",
"org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions",
),
(f"spark.sql.defaultCatalog", REMOTE_CATALOG_NAME),
]
)`
**Stacktrace**
`22/11/24 09:18:36 WARN SparkSession: Cannot use org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions to configure session extensions.
java.lang.ClassNotFoundException: org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions
at java.base/java.net.URLClassLoader.findClass(Unknown Source)
at java.base/java.lang.ClassLoader.loadClass(Unknown Source)
at java.base/java.lang.ClassLoader.loadClass(Unknown Source)
at java.base/java.lang.Class.forName0(Native Method)
at java.base/java.lang.Class.forName(Unknown Source)
at org.apache.spark.util.Utils$.classForName(Utils.scala:206)
at org.apache.spark.sql.SparkSession$.$anonfun$applyExtensions$1(SparkSession.scala:1160)
at org.apache.spark.sql.SparkSession$.$anonfun$applyExtensions$1$adapted(SparkSession.scala:1158)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.sql.SparkSession$.org$apache$spark$sql$SparkSession$$applyExtensions(SparkSession.scala:1158)
at org.apache.spark.sql.SparkSession.<init>(SparkSession.scala:101)
at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(Unknown Source)
at java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(Unknown Source)
at java.base/java.lang.reflect.Constructor.newInstance(Unknown Source)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:238)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.base/java.lang.Thread.run(Unknown Source)
....
22/11/24 09:18:45
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:350)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:69)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runBatch(MicroBatchExecution.scala:564)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:223)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:352)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:350)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:69)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:191)
at org.apache.spark.sql.execution.streaming.OneTimeExecutor.execute(TriggerExecutor.scala:39)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:185)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:334)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:245)
22/11/24 09:18:45 ERROR MicroBatchExecution: Query [id = , runId = ] terminated with error
org.apache.spark.SparkException: Cannot find catalog plugin class for catalog 'remote_glue_catalog': org.apache.iceberg.spark.SparkCatalog
at org.apache.spark.sql.connector.catalog.Catalogs$.load(Catalogs.scala:66)
at org.apache.spark.sql.connector.catalog.CatalogManager.$anonfun$catalog$1(CatalogManager.scala:52)
at scala.collection.mutable.HashMap.getOrElseUpdate(HashMap.scala:86)
at org.apache.spark.sql.connector.catalog.CatalogManager.catalog(CatalogManager.scala:52)
at org.apache.spark.sql.connector.catalog.CatalogManager.currentCatalog(CatalogManager.scala:122)
at org.apache.spark.sql.connector.catalog.CatalogManager.$anonfun$currentNamespace$1(CatalogManager.scala:100)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.connector.catalog.CatalogManager.currentNamespace(CatalogManager.scala:100)
at org.apache.spark.sql.catalyst.optimizer.GetCurrentDatabase.apply(finishAnalysis.scala:98)
at org.apache.spark.sql.catalyst.optimizer.GetCurrentDatabase.apply(finishAnalysis.scala:95)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:149)
at scala.collection.IndexedSeqOptimized.foldLeft(IndexedSeqOptimized.scala:60)
at scala.collection.IndexedSeqOptimized.foldLeft$(IndexedSeqOptimized.scala:68)
at scala.collection.mutable.WrappedArray.foldLeft(WrappedArray.scala:38)
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.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:116)
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:88)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:116)
at org.apache.spark.sql.execution.streaming.IncrementalExecution.$anonfun$optimizedPlan$1(IncrementalExecution.scala:81)
at org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:138)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:767)
at org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:138)
at org.apache.spark.sql.execution.streaming.IncrementalExecution.optimizedPlan$lzycompute(IncrementalExecution.scala:81)
at org.apache.spark.sql.execution.streaming.IncrementalExecution.optimizedPlan(IncrementalExecution.scala:79)
at org.apache.spark.sql.execution.QueryExecution.assertOptimized(QueryExecution.scala:90)
at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:108)
at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:105)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$14(MicroBatchExecution.scala:574)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:352)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:350)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:69)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runBatch(MicroBatchExecution.scala:564)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:223)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:352)
at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:350)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:69)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:191)
at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:57)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:185)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:334)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:245)
ERROR:root:<traceback object at 0x7f50f454a640>
Traceback (most recent call last):
File "/opt/spark/work-dir/src/app/streaming/main.py", line 11, in <module>
streaming_main(registry=streaming_registry, )
File "/opt/spark/work-dir/src/app/app.py", line 20, in main
start_job(session, job=job, environment=args.env, kwargs=args.kwargs)
File "/opt/spark/work-dir/src/app/app.py", line 44, in start_job
job.run(session, kwargs=kwargs)
File "/opt/spark/work-dir/src/elia_streaming/jobs/current_system_imbalance/producer.py", line 31, in run
iceberg.awaitTermination()
File "/opt/spark/python/lib/pyspark.zip/pyspark/sql/streaming.py", line 103, in awaitTermination
File "/opt/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", line 1304, in __call__
File "/opt/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 134, in deco
File "<string>", line 3, in raise_from
pyspark.sql.utils.StreamingQueryException: Cannot find catalog plugin class for catalog 'remote_glue_catalog': org.apache.iceberg.spark.SparkCatalog`
**Debug checks**:
- [x] We have checked the docker container if the jars are included.
- [x] We checked the spark config at runtime (logged) to make sure all options were included which they were
- [x] Checked several version of spark + iceberg
**Question**
So anybody know what is going on?
My guess is that with spark structured streaming the jars aren't really added to the classpath for the different executors but not sure.
Thanks in advance!
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[GitHub] [iceberg] HannesDS commented on issue #6266: java.lang.ClassNotFoundException: org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions - using spark structured streaming
Posted by GitBox <gi...@apache.org>.
HannesDS commented on issue #6266:
URL: https://github.com/apache/iceberg/issues/6266#issuecomment-1329434903
Can you elaborate on the wrong runtime jar, because I am staring but for the love of god I can't see any discrepancy between the jars
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[GitHub] [iceberg] HannesDS commented on issue #6266: java.lang.ClassNotFoundException: org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions - using spark structured streaming
Posted by GitBox <gi...@apache.org>.
HannesDS commented on issue #6266:
URL: https://github.com/apache/iceberg/issues/6266#issuecomment-1331740356
@RussellSpitzer I did, and I saw they were there, only once, and thus no different versions. I did use the same docker and envirnment for a batch job, and it is not working either. So I must be doing something wrong or different. When I find something I will update.
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[GitHub] [iceberg] RussellSpitzer commented on issue #6266: java.lang.ClassNotFoundException: org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions - using spark structured streaming
Posted by GitBox <gi...@apache.org>.
RussellSpitzer commented on issue #6266:
URL: https://github.com/apache/iceberg/issues/6266#issuecomment-1331269677
You should just check on the Spark UI, and see if the jars are actually listed in the Environment tab
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[GitHub] [iceberg] HannesDS commented on issue #6266: java.lang.ClassNotFoundException: org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions - using spark structured streaming
Posted by GitBox <gi...@apache.org>.
HannesDS commented on issue #6266:
URL: https://github.com/apache/iceberg/issues/6266#issuecomment-1329407033
Yes, they are for sure there. If I use the following code to print the extra jars included:
`self.logger.info(f"Spark Jars: {spark.sparkContext._jsc.sc().listJars()}")`
It logs the following:
```
22/11/28 16:29:50 INFO SparkContext: Added JAR /opt/spark/jars/iceberg-spark-runtime-3.2_2.12-1.0.0.jar at spark://streaming-c7066896-a115-4017-b47d-5-7d9dff84bf12a7e0-driver-svc.dev.svc:7078/jars/iceberg-spark-runtime-3.2_2.12-1.0.0.jar with timestamp 1669652989004
22/11/28 16:29:50 INFO SparkContext: Added JAR /opt/spark/jars/bundle-2.17.257.jar at spark://streaming-c7066896-a115-4017-b47d-5-7d9dff84bf12a7e0-driver-svc.dev.svc:7078/jars/bundle-2.17.257.jar with timestamp 1669652989004
22/11/28 16:29:50 INFO SparkContext: Added JAR /opt/spark/jars/url-connection-client-2.17.257.jar at spark://streaming-c7066896-a115-4017-b47d-5-7d9dff84bf12a7e0-driver-svc.dev.svc:7078/jars/url-connection-client-2.17.257.jar with timestamp 1669652989004
22/11/28 16:30:09 INFO CurrentSystemImbalanceProducer: Spark Jars : Vector(spark://streaming-c7066896-a115-4017-b47d-5-7d9dff84bf12a7e0-driver-svc.dev.svc:7078/jars/iceberg-spark-runtime-3.2_2.12-1.0.0.jar, spark://streaming-c7066896-a115-4017-b47d-5-7d9dff84bf12a7e0-driver-svc.dev.svc:7078/jars/url-connection-client-2.17.257.jar, spark://streaming-c7066896-a115-4017-b47d-5-7d9dff84bf12a7e0-driver-svc.dev.svc:7078/jars/bundle-2.17.257.jar)
22/11/28 16:30:11
```
Now I added this config:
```
"spark.jars.packages": "org.apache.iceberg:iceberg-spark-runtime-3.2_2.12:1.0.0,"
"org.apache.iceberg:iceberg-spark-extensions-3.2_2.12:1.0.0,"
"software.amazon.awssdk:bundle:2.17.257,"
"software.amazon.awssdk:url-connection-client:2.17.257,",
"spark.jars": "/opt/spark/jars/iceberg-spark-runtime-3.2_2.12-1.0.0.jar,"
"/opt/spark/jars/bundle-2.17.257.jar,"
"/opt/spark/jars/url-connection-client-2.17.257.jar,",
f"spark.sql.catalog.{REMOTE_CATALOG_NAME}": "org.apache.iceberg.spark.SparkCatalog",
f"spark.sql.catalog.{REMOTE_CATALOG_NAME}.warehouse": f"{bucket_root_path}/{purpose_name}/",
f"spark.sql.catalog.{REMOTE_CATALOG_NAME}.catalog-impl": "org.apache.iceberg.aws.glue.GlueCatalog",
f"spark.sql.catalog.{REMOTE_CATALOG_NAME}.io-impl": "org.apache.iceberg.aws.s3.S3FileIO",
"spark.sql.extensions": "org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions",
"spark.sql.defaultCatalog": REMOTE_CATALOG_NAME,
```
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[GitHub] [iceberg] RussellSpitzer commented on issue #6266: java.lang.ClassNotFoundException: org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions - using spark structured streaming
Posted by GitBox <gi...@apache.org>.
RussellSpitzer commented on issue #6266:
URL: https://github.com/apache/iceberg/issues/6266#issuecomment-1329422397
In your config above it has the wrong runtime jar version, did you update this? That said the jar is most likely not on the classpath or possibly the jar with the correct name was not properly copied. Also do not include iceberg-spark-extensions, it should be already included and shaded in the runtime jar.
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[GitHub] [iceberg] HannesDS commented on issue #6266: java.lang.ClassNotFoundException: org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions - using spark structured streaming
Posted by GitBox <gi...@apache.org>.
HannesDS commented on issue #6266:
URL: https://github.com/apache/iceberg/issues/6266#issuecomment-1331856329
Update: I fixed it, I had a mistake in my docker container where I used `wget ... -o ...` This did write a jar but it was empty, I fixed it by using curl. Stupid mistake on my end, thanks for the help anyway.
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[GitHub] [iceberg] nastra commented on issue #6266: java.lang.ClassNotFoundException: org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions - using spark structured streaming
Posted by GitBox <gi...@apache.org>.
nastra commented on issue #6266:
URL: https://github.com/apache/iceberg/issues/6266#issuecomment-1327131965
Have you tried adding those jars (aws jars + iceberg-spark-runtime jar) directly to the respective spark nodes (under their `jars` folder)?
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[GitHub] [iceberg] HannesDS closed issue #6266: java.lang.ClassNotFoundException: org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions - using spark structured streaming
Posted by GitBox <gi...@apache.org>.
HannesDS closed issue #6266: java.lang.ClassNotFoundException: org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions - using spark structured streaming
URL: https://github.com/apache/iceberg/issues/6266
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