The 'oracle' dialect with current database version settings does not support empty inserts









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Does anyone know what this error means? Below is class method that returns error sqlalchemy.exc.CompileError: The 'oracle' dialect with current database version settings does not support empty inserts.



Im using same classmethod in sqlserver and it works. how to bypass this in oracle using sqlalchemy orm?



def insertr(self, tablename, data, schema=None):
def convert_nan(v):
if pd.isnull(v) or pd.isna(v):
v = None
return v

class DbTable(object):
pass

engine = self.engine
metadata = MetaData(bind=engine)
table = Table(tablename, metadata, autoload=True, quote=True, schema=schema)
mapper(DbTable, table)
DbTable.__getattribute__(DbTable, self.primary_key)

insert_rows = [k: convert_nan(v) for k, v in check_ir.items() for check_ir in data]
session = sessionmaker(bind=engine)()
session.bulk_insert_mappings(DbTable, insert_rows)

session.commit()
session.flush()


and data that im trying to insert looks like :



['coll': 10, 'col2': 'value', 'col1': 20, 'col2': 'value']









share|improve this question



























    up vote
    0
    down vote

    favorite












    Does anyone know what this error means? Below is class method that returns error sqlalchemy.exc.CompileError: The 'oracle' dialect with current database version settings does not support empty inserts.



    Im using same classmethod in sqlserver and it works. how to bypass this in oracle using sqlalchemy orm?



    def insertr(self, tablename, data, schema=None):
    def convert_nan(v):
    if pd.isnull(v) or pd.isna(v):
    v = None
    return v

    class DbTable(object):
    pass

    engine = self.engine
    metadata = MetaData(bind=engine)
    table = Table(tablename, metadata, autoload=True, quote=True, schema=schema)
    mapper(DbTable, table)
    DbTable.__getattribute__(DbTable, self.primary_key)

    insert_rows = [k: convert_nan(v) for k, v in check_ir.items() for check_ir in data]
    session = sessionmaker(bind=engine)()
    session.bulk_insert_mappings(DbTable, insert_rows)

    session.commit()
    session.flush()


    and data that im trying to insert looks like :



    ['coll': 10, 'col2': 'value', 'col1': 20, 'col2': 'value']









    share|improve this question

























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Does anyone know what this error means? Below is class method that returns error sqlalchemy.exc.CompileError: The 'oracle' dialect with current database version settings does not support empty inserts.



      Im using same classmethod in sqlserver and it works. how to bypass this in oracle using sqlalchemy orm?



      def insertr(self, tablename, data, schema=None):
      def convert_nan(v):
      if pd.isnull(v) or pd.isna(v):
      v = None
      return v

      class DbTable(object):
      pass

      engine = self.engine
      metadata = MetaData(bind=engine)
      table = Table(tablename, metadata, autoload=True, quote=True, schema=schema)
      mapper(DbTable, table)
      DbTable.__getattribute__(DbTable, self.primary_key)

      insert_rows = [k: convert_nan(v) for k, v in check_ir.items() for check_ir in data]
      session = sessionmaker(bind=engine)()
      session.bulk_insert_mappings(DbTable, insert_rows)

      session.commit()
      session.flush()


      and data that im trying to insert looks like :



      ['coll': 10, 'col2': 'value', 'col1': 20, 'col2': 'value']









      share|improve this question















      Does anyone know what this error means? Below is class method that returns error sqlalchemy.exc.CompileError: The 'oracle' dialect with current database version settings does not support empty inserts.



      Im using same classmethod in sqlserver and it works. how to bypass this in oracle using sqlalchemy orm?



      def insertr(self, tablename, data, schema=None):
      def convert_nan(v):
      if pd.isnull(v) or pd.isna(v):
      v = None
      return v

      class DbTable(object):
      pass

      engine = self.engine
      metadata = MetaData(bind=engine)
      table = Table(tablename, metadata, autoload=True, quote=True, schema=schema)
      mapper(DbTable, table)
      DbTable.__getattribute__(DbTable, self.primary_key)

      insert_rows = [k: convert_nan(v) for k, v in check_ir.items() for check_ir in data]
      session = sessionmaker(bind=engine)()
      session.bulk_insert_mappings(DbTable, insert_rows)

      session.commit()
      session.flush()


      and data that im trying to insert looks like :



      ['coll': 10, 'col2': 'value', 'col1': 20, 'col2': 'value']






      python-3.x oracle sqlalchemy






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      edited Nov 10 at 16:10

























      asked Nov 10 at 16:01









      PythonMan

      1479




      1479






















          1 Answer
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          up vote
          1
          down vote













          I found workaround for this problem so if anyone stumbleupon same issue here is the code:



          def insertr(self, tablename, data, schema=None):
          def convert_nan(v):
          if pd.isnull(v) or pd.isna(v):
          v = None
          return v

          engine = self.engine
          metadata = MetaData(bind=engine)
          table = Table(tablename, metadata, autoload=True, quote=True, schema=schema)
          insert_rows = [k.lower(): convert_nan(v) for k, v in check_ir.items() for check_ir in data]
          with engine.begin() as connection:
          for insert_row in insert_rows:
          connection.execute(table.insert().values(**insert_row))





          share|improve this answer




















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            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            1
            down vote













            I found workaround for this problem so if anyone stumbleupon same issue here is the code:



            def insertr(self, tablename, data, schema=None):
            def convert_nan(v):
            if pd.isnull(v) or pd.isna(v):
            v = None
            return v

            engine = self.engine
            metadata = MetaData(bind=engine)
            table = Table(tablename, metadata, autoload=True, quote=True, schema=schema)
            insert_rows = [k.lower(): convert_nan(v) for k, v in check_ir.items() for check_ir in data]
            with engine.begin() as connection:
            for insert_row in insert_rows:
            connection.execute(table.insert().values(**insert_row))





            share|improve this answer
























              up vote
              1
              down vote













              I found workaround for this problem so if anyone stumbleupon same issue here is the code:



              def insertr(self, tablename, data, schema=None):
              def convert_nan(v):
              if pd.isnull(v) or pd.isna(v):
              v = None
              return v

              engine = self.engine
              metadata = MetaData(bind=engine)
              table = Table(tablename, metadata, autoload=True, quote=True, schema=schema)
              insert_rows = [k.lower(): convert_nan(v) for k, v in check_ir.items() for check_ir in data]
              with engine.begin() as connection:
              for insert_row in insert_rows:
              connection.execute(table.insert().values(**insert_row))





              share|improve this answer






















                up vote
                1
                down vote










                up vote
                1
                down vote









                I found workaround for this problem so if anyone stumbleupon same issue here is the code:



                def insertr(self, tablename, data, schema=None):
                def convert_nan(v):
                if pd.isnull(v) or pd.isna(v):
                v = None
                return v

                engine = self.engine
                metadata = MetaData(bind=engine)
                table = Table(tablename, metadata, autoload=True, quote=True, schema=schema)
                insert_rows = [k.lower(): convert_nan(v) for k, v in check_ir.items() for check_ir in data]
                with engine.begin() as connection:
                for insert_row in insert_rows:
                connection.execute(table.insert().values(**insert_row))





                share|improve this answer












                I found workaround for this problem so if anyone stumbleupon same issue here is the code:



                def insertr(self, tablename, data, schema=None):
                def convert_nan(v):
                if pd.isnull(v) or pd.isna(v):
                v = None
                return v

                engine = self.engine
                metadata = MetaData(bind=engine)
                table = Table(tablename, metadata, autoload=True, quote=True, schema=schema)
                insert_rows = [k.lower(): convert_nan(v) for k, v in check_ir.items() for check_ir in data]
                with engine.begin() as connection:
                for insert_row in insert_rows:
                connection.execute(table.insert().values(**insert_row))






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 12 at 7:09









                PythonMan

                1479




                1479



























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