在 Hive 表的一列中，我想存储键值对。Hive 的复杂数据类型映射支持该构造。
（这只是我想要做的一个玩具示例，我还有更多列要像这样压缩）
所以我创建了一个这样的表：
hive>DESCRIBE transaction_detailed;
OK
id STRING
time STRING
Time taken: 0.181 seconds
hive>DROP TABLE IF EXISTS transactions;
hive>CREATE EXTERNAL TABLE transactions(
id STRING,
time_map MAP<STRING, INT>
)
partitioned by (dt string)
row format delimited fields terminated by '\t' collection items terminated by ',' map keys terminated by ':' lines terminated by '\n'
location 's3://my_loaction/transactions/';
然后我尝试使用代码中描述的reducer加载地图列：time_map的结构看起来像：{“min”：time，“max”：time，“average”：time，“total”：时间}
hive>FROM( FROM transaction_detailed
MAP transaction_detailed.id, transaction_detailed.time
USING "python unity mapper -- splits the same thing out as it takes it"
AS id, time
cluster by id) transaction_time_map
insert overwrite table transactions partition(dt="2013-27-03")
REDUCE transaction_time_map.id, transaction_time_map.time
USING "python reducer which takes time_stamp sequence for a single id and summarizes them using min, max, average and total and supposed to insert into map"
as id, time_map;
但我收到这样的错误：
FAILED: Error in semantic analysis: Line 6:23 Cannot insert into target table because column number/types are different "two_day": Cannot convert column 8 from string to map<string,int>.
如何使用我的 python reducer 加载到地图列？