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  1. Spark
  2. SPARK-35321

Spark 3.x can't talk to HMS 1.2.x and lower due to get_all_functions Thrift API missing

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Details

    • Bug
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 3.0.2, 3.1.1, 3.2.0
    • 3.2.0
    • SQL
    • None

    Description

      https://issues.apache.org/jira/browse/HIVE-10319 introduced a new API get_all_functions which is only supported in Hive 1.3.0/2.0.0 and up. This is called when creating a new Hive object:

        private Hive(HiveConf c, boolean doRegisterAllFns) throws HiveException {
          conf = c;
          if (doRegisterAllFns) {
            registerAllFunctionsOnce();
          }
        }
      

      registerAllFunctionsOnce will reload all the permanent functions by calling the get_all_functions API from the megastore. In Spark, we always pass doRegisterAllFns as true, and this will cause failure:

      Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: org.apache.thrift.TApplicationException: Invalid method name: 'get_all_functions'
      	at org.apache.hadoop.hive.ql.metadata.Hive.getAllFunctions(Hive.java:3897)
      	at org.apache.hadoop.hive.ql.metadata.Hive.reloadFunctions(Hive.java:248)
      	at org.apache.hadoop.hive.ql.metadata.Hive.registerAllFunctionsOnce(Hive.java:231)
      	... 96 more
      Caused by: org.apache.thrift.TApplicationException: Invalid method name: 'get_all_functions'
      	at org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:79)
      	at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.recv_get_all_functions(ThriftHiveMetastore.java:3845)
      	at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.get_all_functions(ThriftHiveMetastore.java:3833)
      

      It looks like Spark doesn't really need to call registerAllFunctionsOnce since it loads the Hive permanent function directly from HMS API. The Hive FunctionRegistry is only used for loading Hive built-in functions.

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              csun Chao Sun
              csun Chao Sun
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                Updated:
                Resolved: