4paradigm / 4paradigm/OpenMLDB

openmldb batch tests fails to bootstrap on mac

Abierto
#3,407 1 comentario 0 reacciones 1 asignado Reclamado por @aceforeverd Ver en GitHub
batch-engine bug build
Lenguaje dominante
C++
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Merge medio
12 d 12 h
PR fusionados (30 d)
1

Descripción

https://github.com/aceforeverd/fedb/actions/runs/5693624689/job/15433110146

```
[INFO] --- scalatest-maven-plugin:1.0:test (test) @ openmldb-batch ---
OpenJDK 64-Bit Server VM warning: ignoring option MaxPermSize=2048m; support was removed in 8.0
Discovery starting.
Discovery completed in 968 milliseconds.
Run starting. Expected test count is: 97
TestDate:
org.apache.spark.util.Utils.logWarning(Logging.scala:69) - WARN: Your hostname, Mac-1690546465826.local resolves to a loopback address: 127.0.0.1; using 10.79.15.250 instead (on interface en0)
org.apache.spark.util.Utils.logWarning(Logging.scala:69) - WARN: Set SPARK_LOCAL_IP if you need to bind to another address
org.apache.hadoop.util.NativeCodeLoader.(NativeCodeLoader.java:60) - WARN: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
ERROR: something wrong with flag 'logtostderr' in file 'src/logging.cc'. One possibility: file 'src/logging.cc' is being linked both statically and dynamically into this executable.
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary for openmldb 0.7.0-SNAPSHOT:
[INFO]
[INFO] openmldb ........................................... SUCCESS [ 0.558 s]
[INFO] hybridse-proto ..................................... SUCCESS [ 1.169 s]
[INFO] hybridse-native .................................... SUCCESS [ 0.199 s]
[INFO] hybridse-sdk ....................................... SUCCESS [ 11.834 s]
[INFO] openmldb-native .................................... SUCCESS [ 0.124 s]
[INFO] openmldb-jdbc ...................................... SUCCESS [ 27.822 s]
[INFO] openmldb-common .................................... SUCCESS [ 4.800 s]
[INFO] openmldb-synctool .................................. SUCCESS [ 0.644 s]
[INFO] openmldb-spark-connector ........................... SUCCESS [ 39.203 s]
[INFO] openmldb-batch ..................................... FAILURE [02:25 min]
[INFO] openmldb-batchjob .................................. SKIPPED
[INFO] openmldb-taskmanager ............................... SKIPPED
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 03:53 min
[INFO] Finished at: 2023-07-28T12:52:30Z
[INFO] ------------------------------------------------------------------------
Error: Failed to execute goal org.scalatest:scalatest-maven-plugin:1.0:test (test) on project openmldb-batch: There are test failures -> [Help 1]
Error:
Error: To see the full stack trace of the errors, re-run Maven with the -e switch.
Error: Re-run Maven using the -X switch to enable full debug logging.
Error:
Error: For more information about the errors and possible solutions, please read the following articles:
Error: [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoFailureException
Error:
Error: After correcting the problems, you can resume the build with the command
Error: mvn -rf :openmldb-batch
Error: Process completed with exit code 1.
```

shared library has runtime issue with gflags

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Línea de trabajo

The issue is about a macOS bootstrap failure in the openmldb-batch module's tests, with an error related to gflags and a shared library. Look at the GitHub Actions log linked in the issue to see the full error. The failing module is openmldb-batch, and the test uses scalatest-maven-plugin. Investigate the gflags library linking in the native components (likely in openmldb-native or hybridse-native). Check the build configuration for macOS, especially around the 'logtostderr' flag and shared library dependencies. Running the tests locally on macOS with debug flags may help reproduce the issue.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
hadoop, java, scala, spark
Área
build-system, databases, machine-learning, testing
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
45/100

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