HyukjinKwon opened a new pull request, #42718: URL: https://github.com/apache/spark/pull/42718
### What changes were proposed in this pull request? This PR is a followup of https://github.com/apache/spark/pull/42694 that only allows to pass runtime configurations. ### Why are the changes needed? Excluding static SQL configurations cannot exclude core configurations. For example, if you pass `spark.jars` with `local-cluster` mode, it shows unneccesary warnings as below: ```bash ./bin/pyspark --remote "local-cluster[1,2,1024]" ``` it shows warnings as below: ``` 23/08/29 16:58:08 ERROR ErrorUtils: Spark Connect RPC error during: config. UserId: hyukjin.kwon. SessionId: 5c331d52-bf65-4f1c-9416-899e00d4a7d9. org.apache.spark.sql.AnalysisException: [CANNOT_MODIFY_CONFIG] Cannot modify the value of the Spark config: "spark.jars". See also 'https://spark.apache.org/docs/latest/sql-migration-guide.html#ddl-statements'. at org.apache.spark.sql.errors.QueryCompilationErrors$.cannotModifyValueOfSparkConfigError(QueryCompilationErrors.scala:3233) at org.apache.spark.sql.RuntimeConfig.requireNonStaticConf(RuntimeConfig.scala:166) at org.apache.spark.sql.RuntimeConfig.set(RuntimeConfig.scala:42) at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleSet$1(SparkConnectConfigHandler.scala:67) at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleSet$1$adapted(SparkConnectConfigHandler.scala:65) at scala.collection.Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943) at scala.collection.AbstractIterator.foreach(Iterator.scala:1431) at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handleSet(SparkConnectConfigHandler.scala:65) at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handle(SparkConnectConfigHandler.scala:40) at org.apache.spark.sql.connect.service.SparkConnectService.config(SparkConnectService.scala:120) at org.apache.spark.connect.proto.SparkConnectServiceGrpc$MethodHandlers.invoke(SparkConnectServiceGrpc.java:751) at org.sparkproject.connect.grpc.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182) at org.sparkproject.connect.grpc.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:346) at org.sparkproject.connect.grpc.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:860) at org.sparkproject.connect.grpc.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37) at org.sparkproject.connect.grpc.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) /Users/hyukjin.kwon/workspace/forked/spark/python/pyspark/sql/connect/session.py:186: UserWarning: [CANNOT_MODIFY_CONFIG] Cannot modify the value of the Spark config: "spark.jars". See also 'https://spark.apache.org/docs/latest/sql-migration-guide.html#ddl-statements'. warnings.warn(str(e)) 23/08/29 16:58:08 ERROR ErrorUtils: Spark Connect RPC error during: config. UserId: hyukjin.kwon. SessionId: 5c331d52-bf65-4f1c-9416-899e00d4a7d9. org.apache.spark.sql.AnalysisException: [CANNOT_MODIFY_CONFIG] Cannot modify the value of the Spark config: "spark.jars". See also 'https://spark.apache.org/docs/latest/sql-migration-guide.html#ddl-statements'. at org.apache.spark.sql.errors.QueryCompilationErrors$.cannotModifyValueOfSparkConfigError(QueryCompilationErrors.scala:3233) at org.apache.spark.sql.RuntimeConfig.requireNonStaticConf(RuntimeConfig.scala:166) at org.apache.spark.sql.RuntimeConfig.set(RuntimeConfig.scala:42) at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleSet$1(SparkConnectConfigHandler.scala:67) at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.$anonfun$handleSet$1$adapted(SparkConnectConfigHandler.scala:65) at scala.collection.Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943) at scala.collection.AbstractIterator.foreach(Iterator.scala:1431) at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handleSet(SparkConnectConfigHandler.scala:65) at org.apache.spark.sql.connect.service.SparkConnectConfigHandler.handle(SparkConnectConfigHandler.scala:40) at org.apache.spark.sql.connect.service.SparkConnectService.config(SparkConnectService.scala:120) at org.apache.spark.connect.proto.SparkConnectServiceGrpc$MethodHandlers.invoke(SparkConnectServiceGrpc.java:751) at org.sparkproject.connect.grpc.io.grpc.stub.ServerCalls$UnaryServerCallHandler$UnaryServerCallListener.onHalfClose(ServerCalls.java:182) at org.sparkproject.connect.grpc.io.grpc.internal.ServerCallImpl$ServerStreamListenerImpl.halfClosed(ServerCallImpl.java:346) at org.sparkproject.connect.grpc.io.grpc.internal.ServerImpl$JumpToApplicationThreadServerStreamListener$1HalfClosed.runInContext(ServerImpl.java:860) at org.sparkproject.connect.grpc.io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37) at org.sparkproject.connect.grpc.io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) ``` ### Does this PR introduce _any_ user-facing change? No, the original change has not been released out yet. ### How was this patch tested? Manually tested as described above. ### Was this patch authored or co-authored using generative AI tooling? No -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
