我目前正在执行一项任务,需要通过读取 JSON 中的值来更新大约 2000 到 4000 条记录。我优化了 JSON 部分,但目前,我正在逐条更新每条记录。有人可以建议仅使用单个查询更新所有 2000 到 4000 条记录而不是运行 2000 到 4000 次的最佳方法吗?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;
我应该使用二维数组并使用它来批量更新还是可以采用其他方法?
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"
}]
}]
}
最佳答案
假设你的 table 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)
)
json 对象就像这样:
{
"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运算符直接在SQL中查询json数据(oracle 12的新功能 - 请参阅https://docs.oracle.com/database/121/SQLRF/functions092.htm#SQLRF56973)...然后您可以利用它,在“合并”中使用这样的查询”声明:
这个 SQL 语句可以满足您的需要:
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 '$.sequence'
)
)
) json_data
on (json_data.v_task_id = t.id)
when matched then
update set
ROUTE_SEQUENCE = V_SEQ,
UPDATED_BY = 'SYSTEM',
UPDATED_ON = SYSTIMESTAMP
编辑:既然您已经发布了实际的 json 示例:
要使我的示例适用于您的数据,您只需替换
'$."activities"[*]'
与此一致:
'$."plan"[0]."activities"[*]'
如果“plan”数组项包含多个元素,事情可能会变得更加复杂,但仍然可以完成。
编辑2:如何处理嵌套对象(即:当“plan”包含多个对象时该怎么办
假设要处理的json字符串是这个
'{
"plan":
[
{
"vehicle_id": "vehicle_1",
"activities":
[
{
"sequence": 1,
"task_id": "465427"
},
{
"sequence": 2,
"task_id": "443951"
}
]
}
,
{
"vehicle_id": "vehicle_2",
"activities":
[
{
"sequence": 3,
"task_id": "165760"
},
{
"sequence": 4,
"task_id": "459187"
}
]
}
]
}'
(我不会在示例中重复它:我只会在代码中编写
如果您对读取vehicle_id字段不感兴趣,并且想要所有事件详细信息的平面 View (无论哪个“计划”对象包含它们,您只需从此更改根对象选择器字符串
'$."plan"[0]."activities"[*]'
对此:
'$."plan"[*]."activities"[*]'
所以,这个查询:
select *
from JSON_TABLE
(
<json_string_here>,
'$."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“事件”对象,但它只会返回“task_id”和“sequence”列。
如果您希望相应的车辆 ID 列在所有行上重复,则必须使用此表达式与根选择器处于同一级别
'$."plan"[*]'
在“columnns”子句中,您可以使用“嵌套路径”语法来表示您还想内联扩展子对象的列:
select *
from JSON_TABLE
(
<json_string_here>,
'$."plan"[*]'
COLUMNS
(
VEHICLE varchar2(20) PATH '$."vehicle_id"',
NESTED PATH '$."activities"[*]'
COLUMNS
(
V_TASK_ID NUMBER PATH '$.task_id',
V_SEQ NUMBER PATH '$.sequence'
)
)
)
关于oracle - Oracle 12.1.0.2 中的批量更新?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/52868194/