您可以使用某种转换步骤来实现这一点，比如bucketing步骤，它将在目标目录中生成orc文件，并在bucketing之后挂载具有相同模式的配置单元表。就像下面一样。

CREATE EXTERNAL TABLE my_fact_orc
(
  mycol STRING,
  mystring INT
)
PARTITIONED BY (dt string)
CLUSTERED BY (some_id) INTO 64 BUCKETS
STORED AS ORC
LOCATION 's3://dev/my_fact_orc'
TBLPROPERTIES ('orc.compress'='SNAPPY');

ALTER TABLE my_fact_orc ADD IF NOT EXISTS PARTITION (dt='2017-09-07') LOCATION 's3://dev/my_fact_orc/dt=2017-09-07';

ALTER TABLE my_fact_orc PARTITION (dt='2017-09-07') SET FILEFORMAT ORC;

SELECT * FROM my_fact_orc WHERE dt='2017-09-07' LIMIT 5;

显然不是

insert overwrite local directory '/home/cloudera/local/mytable' 
stored as orc 
select '{"mycol":123,"mystring","Hello"}'
;

create external table verify_data (rec string) 
stored as orc 
location 'file:////home/cloudera/local/mytable'
;

select * from verify_data
;

记录
{“mycol”：123，“mystring”，“hello”}

create external table mytable (myint int,mystring string)
row format serde 'org.apache.hive.hcatalog.data.JsonSerDe' 
stored as orc
location 'file:///home/cloudera/local/mytable'
;

myint mystring
失败，出现异常java.io.ioexception:java.lang.classcastexception:
org.apache.hadoop.hive.ql.io.orc.orcstruct不能强制转换为org.apache.hadoop.io.text
jsonserde.java文件：

...
import org.apache.hadoop.io.Text;
...

  @Override
  public Object deserialize(Writable blob) throws SerDeException {

    Text t = (Text) blob;
  ...