sryza opened a new pull request, #52470:
URL: https://github.com/apache/spark/pull/52470
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### What changes were proposed in this pull request?
Before:
```
2025-09-26 15:29:54: Failed to resolve flow:
'spark_catalog.default.rental_bike_trips'.
Error: [TABLE_OR_VIEW_NOT_FOUND] The table or view
`spark_catalog`.`default`.`rental_bike_trips_raws` cannot be found. Verify the
spelling and correctness of the schema and catalog.
If you did not qualify the name with a schema, verify the current_schema()
output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF
EXISTS. SQLSTATE: 42P01;
'UnresolvedRelation [spark_catalog, default, rental_bike_trips_raws], [],
true
Traceback (most recent call last):
File "/Users/sandy.ryza/oss/python/pyspark/pipelines/cli.py", line 358, in
<module>
run(
File "/Users/sandy.ryza/oss/python/pyspark/pipelines/cli.py", line 285, in
run
handle_pipeline_events(result_iter)
File
"/Users/sandy.ryza/oss/python/pyspark/pipelines/spark_connect_pipeline.py",
line 53, in handle_pipeline_events
for result in iter:
File "/Users/sandy.ryza/oss/python/pyspark/sql/connect/client/core.py",
line 1169, in execute_command_as_iterator
for response in self._execute_and_fetch_as_iterator(req, observations or
{}):
File "/Users/sandy.ryza/oss/python/pyspark/sql/connect/client/core.py",
line 1559, in _execute_and_fetch_as_iterator
self._handle_error(error)
File "/Users/sandy.ryza/oss/python/pyspark/sql/connect/client/core.py",
line 1833, in _handle_error
self._handle_rpc_error(error)
File "/Users/sandy.ryza/oss/python/pyspark/sql/connect/client/core.py",
line 1904, in _handle_rpc_error
raise convert_exception(
pyspark.errors.exceptions.connect.AnalysisException:
Failed to resolve flows in the pipeline.
A flow can fail to resolve because the flow itself contains errors or
because it reads
from an upstream flow which failed to resolve.
Flows with errors: spark_catalog.default.rental_bike_trips
Flows that failed due to upstream errors:
To view the exceptions that were raised while resolving these flows, look
for flow
failures that precede this log.
JVM stacktrace:
org.apache.spark.sql.pipelines.graph.UnresolvedPipelineException
at
org.apache.spark.sql.pipelines.graph.GraphValidations.validateSuccessfulFlowAnalysis(GraphValidations.scala:284)
at
org.apache.spark.sql.pipelines.graph.GraphValidations.validateSuccessfulFlowAnalysis$(GraphValidations.scala:247)
at
org.apache.spark.sql.pipelines.graph.DataflowGraph.validateSuccessfulFlowAnalysis(DataflowGraph.scala:33)
at
org.apache.spark.sql.pipelines.graph.DataflowGraph.$anonfun$validationFailure$1(DataflowGraph.scala:186)
at scala.util.Try$.apply(Try.scala:217)
at
org.apache.spark.sql.pipelines.graph.DataflowGraph.validationFailure$lzycompute(DataflowGraph.scala:185)
at
org.apache.spark.sql.pipelines.graph.DataflowGraph.validationFailure(DataflowGraph.scala:185)
at
org.apache.spark.sql.pipelines.graph.DataflowGraph.validate(DataflowGraph.scala:173)
at
org.apache.spark.sql.pipelines.graph.PipelineExecution.resolveGraph(PipelineExecution.scala:109)
at
org.apache.spark.sql.pipelines.graph.PipelineExecution.startPipeline(PipelineExecution.scala:48)
at
org.apache.spark.sql.pipelines.graph.PipelineExecution.runPipeline(PipelineExecution.scala:63)
at
org.apache.spark.sql.connect.pipelines.PipelinesHandler$.startRun(PipelinesHandler.scala:294)
at
org.apache.spark.sql.connect.pipelines.PipelinesHandler$.handlePipelinesCommand(PipelinesHandler.scala:93)
at
org.apache.spark.sql.connect.planner.SparkConnectPlanner.handlePipelineCommand(SparkConnectPlanner.scala:2727)
at
org.apache.spark.sql.connect.planner.SparkConnectPlanner.process(SparkConnectPlanner.scala:2697)
at
org.apache.spark.sql.connect.execution.ExecuteThreadRunner.handleCommand(ExecuteThreadRunner.scala:322)
at
org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1(ExecuteThreadRunner.scala:224)
at
org.apache.spark.sql.connect.execution.ExecuteThreadRunner.$anonfun$executeInternal$1$adapted(ExecuteThreadRunner.scala:196)
at
org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$2(SessionHolder.scala:349)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:804)
at
org.apache.spark.sql.connect.service.SessionHolder.$anonfun$withSession$1(SessionHolder.scala:349)
at
org.apache.spark.JobArtifactSet$.withActiveJobArtifactState(JobArtifactSet.scala:94)
at
org.apache.spark.sql.artifact.ArtifactManager.$anonfun$withResources$1(ArtifactManager.scala:112)
at org.apache.spark.util.Utils$.withContextClassLoader(Utils.scala:187)
at
org.apache.spark.sql.artifact.ArtifactManager.withClassLoaderIfNeeded(ArtifactManager.scala:102)
at
org.apache.spark.sql.artifact.ArtifactManager.withResources(ArtifactManager.scala:111)
at
org.apache.spark.sql.connect.service.SessionHolder.withSession(SessionHolder.scala:348)
at
org.apache.spark.sql.connect.execution.ExecuteThreadRunner.executeInternal(ExecuteThreadRunner.scala:196)
at
org.apache.spark.sql.connect.execution.ExecuteThreadRunner.org$apache$spark$sql$connect$execution$ExecuteThreadRunner$$execute(ExecuteThreadRunner.scala:125)
at
org.apache.spark.sql.connect.execution.ExecuteThreadRunner$ExecutionThread.run(ExecuteThreadRunner.scala:347)
25/09/26 08:29:54 INFO ShutdownHookManager: Shutdown hook called
```
After:
```
2025-09-26 15:27:33: Failed to resolve flow:
'spark_catalog.default.rental_bike_trips'.
Error: [TABLE_OR_VIEW_NOT_FOUND] The table or view
`spark_catalog`.`default`.`rental_bike_trips_raws` cannot be found. Verify the
spelling and correctness of the schema and catalog.
If you did not qualify the name with a schema, verify the current_schema()
output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF
EXISTS. SQLSTATE: 42P01;
'UnresolvedRelation [spark_catalog, default, rental_bike_trips_raws], [],
true
Traceback (most recent call last):
File "/Users/sandy.ryza/oss/python/pyspark/pipelines/cli.py", line 360, in
<module>
run(
File "/Users/sandy.ryza/oss/python/pyspark/pipelines/cli.py", line 287, in
run
handle_pipeline_events(result_iter)
File
"/Users/sandy.ryza/oss/python/pyspark/pipelines/spark_connect_pipeline.py",
line 53, in handle_pipeline_events
for result in iter:
File "/Users/sandy.ryza/oss/python/pyspark/sql/connect/client/core.py",
line 1169, in execute_command_as_iterator
for response in self._execute_and_fetch_as_iterator(req, observations or
{}):
File "/Users/sandy.ryza/oss/python/pyspark/sql/connect/client/core.py",
line 1559, in _execute_and_fetch_as_iterator
self._handle_error(error)
File "/Users/sandy.ryza/oss/python/pyspark/sql/connect/client/core.py",
line 1833, in _handle_error
self._handle_rpc_error(error)
File "/Users/sandy.ryza/oss/python/pyspark/sql/connect/client/core.py",
line 1904, in _handle_rpc_error
raise convert_exception(
pyspark.errors.exceptions.connect.AnalysisException:
Failed to resolve flows in the pipeline.
A flow can fail to resolve because the flow itself contains errors or
because it reads
from an upstream flow which failed to resolve.
Flows with errors: spark_catalog.default.rental_bike_trips
Flows that failed due to upstream errors:
To view the exceptions that were raised while resolving these flows, look
for flow
failures that precede this log.
25/09/26 08:27:34 INFO ShutdownHookManager: Shutdown hook called
25/09/26 08:27:34 INFO ShutdownHookManager: Deleting directory
/private/var/folders/1v/dqhbgmt10vl6v3tdlwvvx90r0000gp/T/localPyFiles-039afc43-9f5c-4a6f-ac7b-2437496ac7de
25/09/26 08:27:34 INFO ShutdownHookManager: Deleting directory
/private/var/folders/1v/dqhbgmt10vl6v3tdlwvvx90r0000gp/T/spark-c67d94d5-4110-4268-af67-430b3ae82133
```
### Why are the changes needed?
<!--
Please clarify why the changes are needed. For instance,
1. If you propose a new API, clarify the use case for a new API.
2. If you fix a bug, you can clarify why it is a bug.
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### Does this PR introduce _any_ user-facing change?
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Note that it means *any* user-facing change including all aspects such as
new features, bug fixes, or other behavior changes. Documentation-only updates
are not considered user-facing changes.
If yes, please clarify the previous behavior and the change this PR proposes
- provide the console output, description and/or an example to show the
behavior difference if possible.
If possible, please also clarify if this is a user-facing change compared to
the released Spark versions or within the unreleased branches such as master.
If no, write 'No'.
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### How was this patch tested?
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test cases that check the changes thoroughly including negative and positive
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how you tested step by step, ideally copy and paste-able, so that other
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### Was this patch authored or co-authored using generative AI tooling?
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