以下是我尝试读取的JSON和供您细读的CODE:
当它没有任何值时,我在阅读“ fieldorders”部分时遇到问题。如果它没有任何结构,我仍然需要向他们显示空白值。我能够读取多个具有多个部分的其他对象,而没有任何问题。当我们有一个没有任何值的对象时,我遇到了问题,我只需要放置空值,以防万一我在该对象中找不到任何值。
Getting the below Error:
**Failed to coerce output value false to type ARRAY**
我用来读取数据的示例JSON文件:
{
"projectnumber": "X.6001877",
"operationnumber": "O.6001877.01",
"opactivitynumber": "B.6001877.01.01",
"jobtypes": null,
"jobtypesinfo": [
{
"jobtype": "CC-SERV",
"jobgroup": "CPS-CC",
"staticattributes": [
{
"name": "OAJTOPT",
"description": "OA Job Type OPT",
"type": "Double",
"value": 0.0,
"uom": null
}
]
}
],
"actualactivitystartdate": "2018-01-17T05:00:00",
"actualactivityenddate": "2018-01-29T05:00:00",
"serverdatetime": null,
"ServerDateTime": "2019-01-20T16:36:48.106",
"projectSettings": null,
"customerContacts": null,
"actualequipments": null,
"welldetails": [
{
"Number": "1-1IH",
"Name": "XXXX 58-4X",
"State": "PL",
"Country": "Col",
"Field": "LABCD",
"Uwi": null,
"Environment": "Land",
"WellId": "0065",
"Latitude": 3.8,
"Longitude": -72.2,
"Type": null,
"WaterDepth": null,
"WellPlaceholderId": null,
"IsNonMasteredWell": false
}
],
"lastopeventid": null,
"personnelassignmentinfo": null,
"status": null,
"accountingunit": null,
"erpsystem": "ITT",
"CreatedDate": "2020-01-20T16:36:48.106",
"CreatedBy": "ABCD11",
"LastModifiedDate": "2020-01-20T16:36:48.106",
"LastModifiedBy": "ABCD11",
"Id": "A.6001877.01.01",
"country": {
"Code": "CO",
"Name": "CoOOOOOO"
},
"attributes": {
"Attributes": [
{
"AttributeName": "OAOPDXAS",
"AttributeDescription": "Activity OPD",
"DataType": "Integer",
"UOMType": "Dimensionless",
"BaseUnit": "",
"IsCalculated": true,
"Values": null
},
{
"AttributeName": "OpActOPTime",
"AttributeDescription": "OA Operating Time - OPT (HRS)",
"DataType": "Float",
"UOMType": "Dimensionless",
"BaseUnit": "",
"IsCalculated": true,
"Values": null
}
],
"DailyAttributes": null,
"MultiAttributes": null,
"Id": "A.6001877.01.01"
},
"operationalevent": [
{
"operatingevent": {
"projectnumber": "C.6001877",
"operationnumber": "O.6001877.01",
"operationactivitynumber": "X.6001877.01.01",
"operationaleventdetails": {
"status": null,
"description": "Non-Operational Event",
"plannedeventid": null,
"jobgroup": null,
"jobtype": null,
"startdatetime": "2020-01-18T05:00:00",
"enddatetime": "2020-01-15T05:00:00",
"comments": "Non-Operational Event",
"eventtype": "Project",
"isdeleted": false,
"category": "NonOperational",
"islocked": false,
"lockedon": "0001-01-01T05:00:00",
"lockedby": null,
"audittrailinfo": {
"CreatedDate": "2020-01-20T15:36:17.816",
"CreatedBy": "ABCD11",
"LastModifiedDate": "2020-01-20T15:36:17.816",
"LastModifiedBy": "ABCD1111",
"Id": null
},
"personnel": {
"assignment": [
]
},
"serverdatetime": "2018-01-20T16:36:56.185",
"equipmentdata": {
"equipmentassignments": [
]
},
"eventtypeattributes": null,
"id": "E97A5DBC",
"oesummary": null,
"journal": null,
"well": null,
"isactive": true,
"externaltransactionhistoryinfo": [
{
"status": "Pending",
"message": null,
"type": "MPT",
"riteservicereporturl": null,
"CreatedDate": "0001-01-01T00:00:00",
"CreatedBy": null,
"LastModifiedDate": "0001-01-01T00:00:00",
"LastModifiedBy": null,
"Id": null
}
],
"pnmconsumptiondata": {
"pnmconsumptions": [
]
}
},
"CreatedDate": "2018-01-20T16:36:56.185",
"CreatedBy": "ABCD11",
"LastModifiedDate": "2020-01-20T16:36:56.185",
"LastModifiedBy": "ABCD11",
"Id": "A.6001877.01.01_OperationalEvent_E97A5DBC"
},
"attributes": null
}
],
"attendance": [
],
**"fieldorders": [
]**
}
BigQuery SQL代码:
CREATE TEMPORARY FUNCTION CUSTOM_JSON_EXTRACT(json STRING, json_path STRING)
RETURNS ARRAY<STRING>
LANGUAGE js AS """
return jsonPath(JSON.parse(json), json_path);
"""
OPTIONS (
library="gs://json_temp/jsonpath-0.8.0.js"
);
SELECT job_id,oe_descr,
attr_name,
well_name,
job_type,
--field_id
from lz.json_actuals,
UNNEST(CUSTOM_JSON_EXTRACT(conv_column, '$.operationalevent[*].operatingevent.operationaleventdetails.description')) oe_descr with offset oedescr,
UNNEST(CUSTOM_JSON_EXTRACT(conv_column, '$.attributes.Attributes[*].AttributeName')) attr_name with offset attrb,
UNNEST(CUSTOM_JSON_EXTRACT(conv_column, '$.welldetails[*].Name')) Well_name with offset wll,
UNNEST(CUSTOM_JSON_EXTRACT(conv_column, '$.jobtypesinfo[*].jobtype')) job_type with offset jt,
--UNNEST(CUSTOM_JSON_EXTRACT(conv_column, '$.fieldorders[*].id')) field_id WITH OFFSET fld
;
以下是BigQuery标准SQL,应该解决空对象问题
#standardSQL
CREATE TEMPORARY FUNCTION CUSTOM_JSON_EXTRACT(json STRING, json_path STRING)
RETURNS ARRAY<string>
LANGUAGE js AS """
var result = jsonPath(JSON.parse(json), json_path);
if(result){return result;}
else {return [];}
"""
OPTIONS (
library="gs://json_temp/jsonpath-0.8.0.js"
);
SELECT --job_id,
oe_descr,
attr_name,
well_name,
job_type,
field_id
from `lz.json_actuals`,
UNNEST(CUSTOM_JSON_EXTRACT(conv_column, '$.operationalevent[*].operatingevent.operationaleventdetails.description')) oe_descr with offset oedescr,
UNNEST(CUSTOM_JSON_EXTRACT(conv_column, '$.attributes.Attributes[*].AttributeName')) attr_name with offset attrb,
UNNEST(CUSTOM_JSON_EXTRACT(conv_column, '$.welldetails[*].Name')) Well_name with offset wll,
UNNEST(CUSTOM_JSON_EXTRACT(conv_column, '$.jobtypesinfo[*].jobtype')) job_type with offset jt
LEFT JOIN UNNEST(CUSTOM_JSON_EXTRACT(conv_column, '$.fieldorders[*].id')) field_id WITH OFFSET fld
如果要应用于问题中的样本数据-结果是
Row oe_descr attr_name well_name job_type field_id
1 Non-Operational Event OAOPDXAS XXXX 58-4X CC-SERV null
2 Non-Operational Event OpActOPTime XXXX 58-4X CC-SERV null
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我来说两句