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From GitBox <...@apache.org>
Subject [GitHub] [incubator-hudi] haospotai edited a comment on issue #1284: [SUPPORT]
Date Mon, 27 Jan 2020 22:26:10 GMT
haospotai edited a comment on issue #1284: [SUPPORT]
URL: https://github.com/apache/incubator-hudi/issues/1284#issuecomment-578983670
 
 
   > @haospotai It looks like an issue with shading of jars -> The hadoop metastore
jars are shaded in the bundle that you might be using but somehow a class hierarchy is expecting
a non-shaded one ?
   > 
   > How are you starting the python client ? Could you paste the libs you are passing
? Also, please raise a JIRA for further discussions
   
   ```
       def __init__(self, app_name):
           load_dotenv('../.env')
   
          # hudi-spark-bundle-0.5.0-incubating.jar
           spark_bundle = ROOT_DIR + "/resources/" + os.environ['HUDI_SPARK_BUNDLE']
           self.host = os.environ['HDFS_HOST']
           self.hive_base_path = os.environ['HIVE_BASH_PATH']
           self.spark = SparkSession.builder \
               .master(os.environ['SPARK_MASTER']) \
               .appName(app_name) \
               .config("spark.jars", spark_bundle) \
               .config("spark.driver.extraClassPath", spark_bundle) \
               .getOrCreate()
   ```
   The exception will be thrown by enabled ```"hoodie.datasource.hive_sync.enable", "true"```
   Cuz the app syncs data to hive at the end

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