Code:
isc.RestDataSource.create({
ID: "restDS",
dataFormat: "xml",
fetchDataURL: "http://192.168.1.21:8282/uom/username=vikash%7C214057357158656/password=gbadmin/ModifiedOn=0",
fields: [
{name:"UOMId"},
{name:"UOMCode"},
{name:"UOMName"}
,
{name:"UOMType"},
{name:"UOMNoOfDecimals"},
{name:"UOMStatus"}
]
});
isc.ListGrid.create({
ID: "restList",
width:800, height:224, alternateRecordStyles:true,
dataSource: restDS,
fields:[
{name:"UOMId"},
{name:"UOMCode"},
{name:"UOMName"}
,
{name:"UOMType"},
{name:"UOMNoOfDecimals"},
{name:"UOMStatus"}
],
autoFetchData:true,
autoDraw: true
});
This Error I'm getting in browser
XML Parsing Error: no element found Location: moz-nullprincipal:{bc0868f9-b8df-4acd-b155-e58c50373d1b} Line Number 1, Column 1:
WebService Content
<ResponseJSON><Body><Datalist><UOMId>-1499999999</UOMId><UOMCode>MPM</UOMCode><UOMName>Meters Per Minute</UOMName><UOMType>2</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999997</UOMId><UOMCode>MM</UOMCode><UOMName>Milli Metres</UOMName><UOMType>0</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999996</UOMId><UOMCode>GSM</UOMCode><UOMName>Grammes per Square Metre</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999994</UOMId><UOMCode>LPM</UOMCode><UOMName>Litres Per Minute</UOMName><UOMType>2</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999993</UOMId><UOMCode>GRADE</UOMCode><UOMName>Grade</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999992</UOMId><UOMCode>GRAM</UOMCode><UOMName>Gram</UOMName><UOMType>1</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999991</UOMId><UOMCode>Degree</UOMCode><UOMName>Degree</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999990</UOMId><UOMCode>SET</UOMCode><UOMName>Set</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999989</UOMId><UOMCode>VOLT</UOMCode><UOMName>Volts</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999988</UOMId><UOMCode>AMPERE</UOMCode><UOMName>Ampere</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999987</UOMId><UOMCode>CELSIUS</UOMCode><UOMName>Celsius</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999986</UOMId><UOMCode>HZ</UOMCode><UOMName>Hertz</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999985</UOMId><UOMCode>HRS</UOMCode><UOMName>Hours</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999984</UOMId><UOMCode>LITERS</UOMCode><UOMName>Liters</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999983</UOMId><UOMCode>KWh</UOMCode><UOMName>KiloWatt Per Hour</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999982</UOMId><UOMCode>GRAVITY</UOMCode><UOMName>Gravity</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999981</UOMId><UOMCode>PRSR</UOMCode><UOMName>Pressure</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999980</UOMId><UOMCode>KVARh</UOMCode><UOMName>KVARh</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999979</UOMId><UOMCode>KVAh</UOMCode><UOMName>KVAh</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999978</UOMId><UOMCode>kVA</UOMCode><UOMName>kVA</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999977</UOMId><UOMCode>KW</UOMCode><UOMName>Kilo Watt</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999976</UOMId><UOMCode>VL</UOMCode><UOMName>V Line</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999975</UOMId><UOMCode>IL</UOMCode><UOMName>I Line</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999974</UOMId><UOMCode>TR</UOMCode><UOMName>TR</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999973</UOMId><UOMCode>PSIG</UOMCode><UOMName>PSIG</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999972</UOMId><UOMCode>FH</UOMCode><UOMName>Fahrenheit</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999971</UOMId><UOMCode>Y/N</UOMCode><UOMName>Y/N</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999970</UOMId><UOMCode>KL</UOMCode><UOMName>KL</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999969</UOMId><UOMCode>INR</UOMCode><UOMName>INR</UOMName><UOMType>1</UOMType><UOMNoOfDecimals>2</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999968</UOMId><UOMCode>RKVAH</UOMCode><UOMName>RKVAH</UOMName><UOMType>1</UOMType><UOMNoOfDecimals>2</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999967</UOMId><UOMCode>UNITS</UOMCode><UOMName>UNITS</UOMName><UOMType>1</UOMType><UOMNoOfDecimals>2</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999966</UOMId><UOMCode>SQFT</UOMCode><UOMName>SQFT</UOMName><UOMType>1</UOMType><UOMNoOfDecimals>2</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999965</UOMId><UOMCode>MTS</UOMCode><UOMName>Minutes</UOMName><UOMType>1</UOMType><UOMNoOfDecimals>2</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>269758049027601</UOMId><UOMCode>rt</UOMCode><UOMName>rt12</UOMName><UOMType>2</UOMType><UOMNoOfDecimals>1</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1500000000</UOMId><UOMCode>NOS</UOMCode><UOMName>Numbers</UOMName><UOMType>6</UOMType><UOMNoOfDecimals>3</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999998</UOMId><UOMCode>PPM</UOMCode><UOMName>Parts Per Million</UOMName><UOMType>3</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>-1499999995</UOMId><UOMCode>%</UOMCode><UOMName>Percentage</UOMName><UOMType>3</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>301246830151381</UOMId><UOMCode>cccc</UOMCode><UOMName>cccc</UOMName><UOMType>0</UOMType><UOMNoOfDecimals>1</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>306495824922361</UOMId><UOMCode>sd</UOMCode><UOMName>sd</UOMName><UOMType>1</UOMType><UOMNoOfDecimals>4</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>301243241629396</UOMId><UOMCode>asdf</UOMCode><UOMName>aaaa</UOMName><UOMType>0</UOMType><UOMNoOfDecimals>2</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist><Datalist><UOMId>545196525553078</UOMId><UOMCode>YTY</UOMCode><UOMName>QYRDY</UOMName><UOMType>1</UOMType><UOMNoOfDecimals>3</UOMNoOfDecimals><UOMStatus>1</UOMStatus></Datalist></Body><Status>200</Status><Total>41.0</Total></ResponseJSON>
plz help
Thank You
Your webservice returns incorrect response for RestDataSource. Example of expected response you can see in documentation here: RestDataSource
Another option that you have is to override response parsing. In your case it will be something like this:
isc.RestDataSource.create({
ID: "restDS",
dataFormat: "xml",
fetchDataURL: "http://192.168.1.21:8282/uom/username=vikash%7C214057357158656/password=gbadmin/ModifiedOn=0",
xmlRecordXPath:"/ResponseJSON/Body/*",
fields: [
{name:"UOMId"},
{name:"UOMCode"},
{name:"UOMName"},
{name:"UOMType"},
{name:"UOMNoOfDecimals"},
{name:"UOMStatus"}
] ,
transformResponse : function (dsResponse, dsRequest, data) {
var totalRows = data.selectNumber("//Total");
if (totalRows != null) dsResponse.totalRows = totalRows;
var startRow = data.selectNumber("//startRow");
if (startRow != null) dsResponse.startRow = startRow;
var endRow = data.selectNumber("//endRow");
if (endRow != null) dsResponse.endRow = endRow;
return dsResponse;
}
});
Note that I overwritten xmlRecordPath property and transformResponse method.
Related
I am looping over the list "res_1" and when the Id is "400" then need to multiply "Total_Weight" with variable "cost_400"; else if the id is "400W", then need to multiply "Total_Weight"
with variable "cost_400W". In the end, "result" array should contain "Vendor" and correspoding number ("Total_Weight" * "cost_400").
In the code below, I loop over "res_1", but for some reason, the if condition is not getting detected and it does not go inside the corresponding if or else if condition.
Any suggestions would be appreciated.
Expected result:
result = [['ABC',42341820 ],['DEF',91734000]]
Input:
res_1:
[ { Id: '400 ', Vendor: 'ABC', Total_Weight: 32322 },
{ Id: '400W ', Vendor: 'DEF', Total_Weight: 61156 } ]
var cost_400 = 1310
var cost_400W = 1500
res_1.forEach((r2,i2)=>{
if (r2['Id'] == "400" ) {
Logger.log(r2['Total_Weight']*cost_400)
}
else if (r2['Id'] == "400W" ) {
Logger.log(r2['Total_Weight']*cost_400W)
}
});
Issue:
Extra space on the res_1. if (r2['Id'] == "400" ) and if (r2['Id'] == "400W" ) will always get false because '400 ' is not equal to '400' and '400W ' is not equal to '400W'.
Solution:
If you cannot manipulate the output of res, you can use String.match() and reverse the if else statement. The reason for reversal is that String.match(400) can catch both 400 and 400W and if we start with String.match('400W') we can prevent the method from catching 400.
Your code should look like this:
function myFunction() {
var res_1=
[ { Id: '400 ', Vendor: 'ABC', Total_Weight: 32322 },
{ Id: '400W ', Vendor: 'DEF', Total_Weight: 61156 } ]
var cost_400 = 1310
var cost_400W = 1500
res_1.forEach((r2,i2)=>{
if (r2['Id'].match("400W")) {
Logger.log(r2['Total_Weight']*cost_400W)
}
else if (r2['Id'].match("400")) {
Logger.log(r2['Total_Weight']*cost_400)
}
});
}
Output:
Reference:
String.match()
I'm playing with the New Data API for Amazon Aurora Serverless
Is it possible to get the table column names in the response?
If for example I run the following query in a user table with the columns id, first_name, last_name, email, phone:
const sqlStatement = `
SELECT *
FROM user
WHERE id = :id
`;
const params = {
secretArn: <mySecretArn>,
resourceArn: <myResourceArn>,
database: <myDatabase>,
sql: sqlStatement,
parameters: [
{
name: "id",
value: {
"stringValue": 1
}
}
]
};
let res = await this.RDS.executeStatement(params)
console.log(res);
I'm getting a response like this one, So I need to guess which column corresponds with each value:
{
"numberOfRecordsUpdated": 0,
"records": [
[
{
"longValue": 1
},
{
"stringValue": "Nicolas"
},
{
"stringValue": "Perez"
},
{
"stringValue": "example#example.com"
},
{
"isNull": true
}
]
]
}
I would like to have a response like this one:
{
id: 1,
first_name: "Nicolas",
last_name: "Perez",
email: "example#example.com",
phone: null
}
update1
I have found an npm module that wrap Aurora Serverless Data API and simplify the development
We decided to take the current approach because we were trying to cut down on the response size and including column information with each record was redundant.
You can explicitly choose to include column metadata in the result. See the parameter: "includeResultMetadata".
https://docs.aws.amazon.com/rdsdataservice/latest/APIReference/API_ExecuteStatement.html#API_ExecuteStatement_RequestSyntax
Agree with the consensus here that there should be an out of the box way to do this from the data service API. Because there is not, here's a JavaScript function that will parse the response.
const parseDataServiceResponse = res => {
let columns = res.columnMetadata.map(c => c.name);
let data = res.records.map(r => {
let obj = {};
r.map((v, i) => {
obj[columns[i]] = Object.values(v)[0]
});
return obj
})
return data
}
I understand the pain but it looks like this is reasonable based on the fact that select statement can join multiple tables and duplicated column names may exist.
Similar to the answer above from #C.Slack but I used a combination of map and reduce to parse response from Aurora Postgres.
// declarative column names in array
const columns = ['a.id', 'u.id', 'u.username', 'g.id', 'g.name'];
// execute sql statement
const params = {
database: AWS_PROVIDER_STAGE,
resourceArn: AWS_DATABASE_CLUSTER,
secretArn: AWS_SECRET_STORE_ARN,
// includeResultMetadata: true,
sql: `
SELECT ${columns.join()} FROM accounts a
FULL OUTER JOIN users u ON u.id = a.user_id
FULL OUTER JOIN groups g ON g.id = a.group_id
WHERE u.username=:username;
`,
parameters: [
{
name: 'username',
value: {
stringValue: 'rick.cha',
},
},
],
};
const rds = new AWS.RDSDataService();
const response = await rds.executeStatement(params).promise();
// parse response into json array
const data = response.records.map((record) => {
return record.reduce((prev, val, index) => {
return { ...prev, [columns[index]]: Object.values(val)[0] };
}, {});
});
Hope this code snippet helps someone.
And here is the response
[
{
'a.id': '8bfc547c-3c42-4203-aa2a-d0ee35996e60',
'u.id': '01129aaf-736a-4e86-93a9-0ab3e08b3d11',
'u.username': 'rick.cha',
'g.id': 'ff6ebd78-a1cf-452c-91e0-ed5d0aaaa624',
'g.name': 'valentree',
},
{
'a.id': '983f2919-1b52-4544-9f58-c3de61925647',
'u.id': '01129aaf-736a-4e86-93a9-0ab3e08b3d11',
'u.username': 'rick.cha',
'g.id': '2f1858b4-1468-447f-ba94-330de76de5d1',
'g.name': 'ensightful',
},
]
Similar to the other answers, but if you are using Python/Boto3:
def parse_data_service_response(res):
columns = [column['name'] for column in res['columnMetadata']]
parsed_records = []
for record in res['records']:
parsed_record = {}
for i, cell in enumerate(record):
key = columns[i]
value = list(cell.values())[0]
parsed_record[key] = value
parsed_records.append(parsed_record)
return parsed_records
I've added to the great answer already provided by C. Slack to deal with AWS handling empty nullable character fields by giving the response { "isNull": true } in the JSON.
Here's my function to handle this by returning an empty string value - this is what I would expect anyway.
const parseRDSdata = (input) => {
let columns = input.columnMetadata.map(c => { return { name: c.name, typeName: c.typeName}; });
let parsedData = input.records.map(row => {
let response = {};
row.map((v, i) => {
//test the typeName in the column metadata, and also the keyName in the values - we need to cater for a return value of { "isNull": true } - pflangan
if ((columns[i].typeName == 'VARCHAR' || columns[i].typeName == 'CHAR') && Object.keys(v)[0] == 'isNull' && Object.values(v)[0] == true)
response[columns[i].name] = '';
else
response[columns[i].name] = Object.values(v)[0];
}
);
return response;
}
);
return parsedData;
}
I want to store multiple dictionary into an array so that the final results looks like so
(
{
id: 12,
task : completed
},
{
id: 15,
task : error
},
{
id: 17,
task : pending
},
)
I tried with code below but it does not give me what I want Please can someone help me out. Thanks
var FinalTaskData = [[String:AnyObject]]()
for i in 0..<taskObj.count{
let dict = ["id":taskObj[i].id!,"task":taskObj[i].task!] as [String : AnyObject]
FinalTaskData.append(dict)
}
And this gives me the output of
(
{
id = 190;
},
{
task = "Task To Be Edited";
},
{
id = 191;
},
{
task = "Also To Be Edited";
}
)
Which is not what I want. Thanks
I am running into an issue with calling the customer record from a passed value on my mapped section of my mapreduce script. It is sending me a debug error of "TypeError: Cannot find function load in object 262059". Where 262059 is the internal ID of the customer passed from the getInputData function.
NetSuite debug image...
Here is the coding of the function that is throwing this error.
function removeLine(r,recordId){
try{
log.audit({title:"removeLine"});
var customerRecord = r.Load({
"type": r.Type.CUSTOMER,
"id": recordId,
"isDynamic": true
});
log.debug({details:"recordId = " + recordId});
var index = rec.getLineCount('item');
log.debug({detaisl:"index = " + index});
for (var cnt = 0; cnt < lineCount; cnt++)
{
log.audit({details:"Round " + cnt})
rec.selectLine({
sublistId: "item",
line: cnt
});
rec.removeLine({
sublistId: "item",
line: cnt
});
}
log.debug(recordId + " Item Pricing has been removed.");
record.save();
}catch(exception){
log.debug("removeLine Error Message:",exception);
}
}
What am I missing or not understanding? I appreciate your guidance.
Brad
I believe the problem lies where you load the record:
var customerRecord = r.Load({
"type": r.Type.CUSTOMER,
"id": recordId,
"isDynamic": true
});
It should be r.load, not r.Load as JavaScript is case-sensitive.
I am working on an application that uses DynamoDB.
Is there a way where I can create a GSI with multiple attributes. My aim is to query the table with a query of following kind:
(attrA.val1 === someVal1 AND attrB.val2 === someVal2 AND attrC.val3 === someVal3)
OR (attrA.val4 === someVal4 AND attrB.val5 === someVal5 AND attrC.val6 === someVal6)
I am aware we can use Query when we have the Key Attribute and when Key Attribute is unknown we can use Scan operations. I am also aware of GSI if we need to query with non-key attributes. But I need some help in this scenario. Is there a way to model GSI to suit the above query.
I have the below item (i.e. data) on my Movies tables. The below query params works fine for me.
You can add the third attribute as present in the OP. It should work fine.
DynamoDB does support the complex condition on FilterExpression.
Query table based on some condition:-
var table = "Movies";
var year_val = 1991;
var title = "Movie with map attribute";
var params = {
TableName : table,
KeyConditionExpression : 'yearkey = :hkey and title = :rkey',
FilterExpression : '(records.K1 = :k1Val AND records.K2 = :k2Val) OR (records.K3 = :k3Val AND records.K4 = :k4Val)',
ExpressionAttributeValues : {
':hkey' : year_val,
':rkey' : title,
':k3Val' : 'V3',
':k4Val' : 'V4',
':k1Val' : 'V1',
':k2Val' : 'V2'
}
};
docClient.query(params, function(err, data) {
if (err) {
console.error("Unable to read item. Error JSON:", JSON.stringify(err,
null, 2));
} else {
console.log("GetItem succeeded:", JSON.stringify(data, null, 2));
}
});
My Data:-
Result:-
GetItem succeeded: {
"Items": [
{
"title": "Movie with map attribute",
"yearkey": 1991,
"records": {
"K3": "V3",
"K4": "V4",
"K1": "V1",
"K2": "V2"
}
}
],
"Count": 1,
"ScannedCount": 1
}