我目前正在从事一项任务,并且要求通过从JSON读取值来更新大约2000至4000条记录。我优化了JSON部分,但目前,我正在逐一更新每个记录。有人可以建议最好的方法来仅通过一次查询而不是将其运行2000至4000次来更新所有2000至4000条记录吗?这是我的示例代码
APEX_JSON.PARSE(V_OUTPUT_DATA);
plan_count := apex_json.get_count('plan');
IF plan_count > 0 THEN
FOR I in 1..plan_count LOOP
activities_count := APEX_JSON.get_count(p_path => 'plan['||i||'].activities');
IF activities_count > 0 THEN
FOR j in 2..(activities_count-1) LOOP
V_TASK_ID := APEX_JSON.get_varchar2(p_path => 'plan['||i||'].activities['||j||'].task_id');
V_SEQ := APEX_JSON.get_number(p_path => 'plan['||i||'].activities['||j||'].sequence');
UPDATE TABLE_NAME
SET ROUTE_SEQUENCE = V_SEQ, UPDATED_BY = 'SYSTEM',UPDATED_ON = SYSTIMESTAMP
WHERE TASK_ID = V_TASK_ID;
END LOOP;
COMMIT;
END IF;
END LOOP;
END IF;
我应该使用2D数组并将其用于批量更新,还是可以遵循某些其他方法?
添加了示例JSON
{
"plan": [{
"vehicle_id": "vehicle_1",
"activities": [{
"sequence": 0,
"timestamp": "2017-11-10T09:48:19Z",
"location_id": "depot"
},
{
"sequence": 1,
"timestamp": "2017-11-10T09:50:07Z",
"task_id": "465427",
"location_id": "465427",
"travel_distance": 1099,
"travel_duration": "00:01:48"
},
{
"sequence": 2,
"timestamp": "2017-11-10T09:50:10Z",
"task_id": "443951",
"location_id": "443951",
"travel_distance": 26,
"travel_duration": "00:00:03"
},
{
"sequence": 3,
"timestamp": "2017-11-10T09:50:25Z",
"task_id": "165760",
"location_id": "165760",
"travel_distance": 152,
"travel_duration": "00:00:15"
},
{
"sequence": 4,
"timestamp": "2017-11-10T09:51:34Z",
"task_id": "459187",
"location_id": "459187",
"travel_distance": 705,
"travel_duration": "00:01:09"
}]
}]
}
答案 0 :(得分:5)
假设您的桌子是这样的:
create table table_name
(
id number(12) primary key,
route_sequence number(12),
updated_by varchar2(30),
updated_on timestamp(9)
)
并且json对象就是这样的:
{
"activities":
[
{"task_id": 1, "sequence" : 10},
{"task_id": 2, "sequence" : 20},
{"task_id": 3, "sequence" : 30},
{"task_id": 4, "sequence" : 40},
{"task_id": 5, "sequence" : 50},
]
}
您可以使用“ JSON_TABLE” sql运算符(oracle 12的新功能,请参见https://docs.oracle.com/database/121/SQLRF/functions092.htm#SQLRF56973)在SQL中直接查询json数据,然后可以在数据库中使用此类查询来利用它“合并”语句:
这条SQL语句可以满足您的需求:
merge into table_name t
using
(
select *
from JSON_TABLE(
'{
"activities":
[
{"task_id": 1, "sequence" : 10},
{"task_id": 2, "sequence" : 20},
{"task_id": 3, "sequence" : 30},
{"task_id": 4, "sequence" : 40},
{"task_id": 5, "sequence" : 50},
]
}',
'$."activities"[*]'
COLUMNS(
V_TASK_ID NUMBER PATH '$.task_id',
V_SEQ NUMBER PATH '$.sequence'
)
)
) json_data
on (json_data.v_task_id = t.id)
when matched then
update set
ROUTE_SEQUENCE = V_SEQ,
UPDATED_BY = 'SYSTEM',
UPDATED_ON = SYSTIMESTAMP
编辑:现在您已经发布了实际的json示例:
要使我的示例处理您的数据,您只需替换
'$."activities"[*]'
与此行:
'$."plan"[0]."activities"[*]'
如果“计划”数组项包含多个元素,事情可能会变得更加复杂,但是仍然可以做到。
编辑2:如何处理嵌套对象(即:“计划”包含多个对象时该怎么做
让我们说要处理的json字符串就是这个
'{
"plan":
[
{
"vehicle_id": "vehicle_1",
"activities":
[
{
"sequence": 1,
"task_id": "465427"
},
{
"sequence": 2,
"task_id": "443951"
}
]
}
,
{
"vehicle_id": "vehicle_2",
"activities":
[
{
"sequence": 3,
"task_id": "165760"
},
{
"sequence": 4,
"task_id": "459187"
}
]
}
]
}'
(我在示例中不会重复:我只会在代码中写
如果您对读取vehicle_id字段不感兴趣,并且希望获得所有活动详细信息的平面视图(无论哪个“计划”对象包含它们,您都可以从此更改根对象选择器字符串
'$."plan"[0]."activities"[*]'
对此:
'$."plan"[*]."activities"[*]'
因此,此查询:
select *
from JSON_TABLE
(
<json_string_here>,
'$."plan"[*]."activities"[*]'
COLUMNS(
V_TASK_ID NUMBER PATH '$.task_id',
V_SEQ NUMBER PATH '$.sequence'
)
)
将遍历所有计划对象的所有“活动”对象,但仅返回“ task_id”和“ sequence”列。
如果您还想在所有行上重复对应的车辆ID列,则必须使用此表达式逐步提高根选择器的水平
'$."plan"[*]'
在“ columnns”子句中,您可以使用“嵌套路径”语法来表示您希望同时扩展子对象的列:
select *
from JSON_TABLE
(
<json_string_here>,
'$."plan"[*]'
COLUMNS
(
VEHICLE varchar2(20) PATH '$."vehicle_id"',
NESTED PATH '$."activities"[*]'
COLUMNS
(
V_TASK_ID NUMBER PATH '$.task_id',
V_SEQ NUMBER PATH '$.sequence'
)
)
)