更新画像冷启动的热搜词存储格式，从set变为hmset

eda/smart_rank/dist_update_user_portrait_service.py

@@ -190,21 +190,14 @@ if __name__ == '__main__':
 
         hot_search_words_portrait_portrait_key2 = "user:service_coldstart_tags2"
         hot_search_words_portrait_dict = {i["id"]: 0.2 for i in hot_search_words}
-        hot_search_words_portrait_json2 = json.dumps(hot_search_words_portrait_dict)
-        gm_kv_cli.set(hot_search_words_portrait_portrait_key2, hot_search_words_portrait_json2)
-        gm_kv_cli.expire(hot_search_words_portrait_portrait_key2, time=30 * 24 * 60 * 60)
-
-        redis_client.set(hot_search_words_portrait_portrait_key2, hot_search_words_portrait_json2)
-        redis_client.expire(hot_search_words_portrait_portrait_key2, time=30 * 24 * 60 * 60)
+        gm_kv_cli.hmset(hot_search_words_portrait_portrait_key2, hot_search_words_portrait_dict)
+        redis_client.hmset(hot_search_words_portrait_portrait_key2, hot_search_words_portrait_dict)
 
         # 搜索词tag
         search_words_synonym_tags_key = "search:words:synonym:tags"
         search_words_synonym_tags_json = json.dumps(all_word_tags)
         gm_kv_cli.set(search_words_synonym_tags_key, search_words_synonym_tags_json)
-        gm_kv_cli.expire(search_words_synonym_tags_key, time=30 * 24 * 60 * 60)
-
         redis_client.set(search_words_synonym_tags_key, search_words_synonym_tags_json)
-        redis_client.expire(search_words_synonym_tags_key, time=30 * 24 * 60 * 60)
 
         # rdd
         sparkConf = SparkConf().set("spark.hive.mapred.supports.subdirectories", "true") \