I am Getting response data from node.js api in below json format where i am joining two tables with inner join. table 1 is having columns: id, name, description, layername and table 2 is having columns attrName, datatype. one to many relationship between two tables.
[
{
"id": 788,
"name": "ABC",
"description": "abc",
"layername": "abclayer",
"file_type": "Parquet",
"attrname": "Id",
"datatype": "integer",
"length": 20
},
{
"id": 788,
"name": "ABC",
"description": "abc",
"layername": "abclayer",
"file_type": "Parquet",
"attrname": "Name",
"datatype": "varchar",
"length": 40
}
]
But I need response data in below format. What is the correct way to get data by writing query for both tables.
{
"name": "ABC",
"description": "abc",
"fieldDetails": [
{
"attributeName": "Id",
"datatype": "integer",
"length": 20
}, {
"attributeName": "Name",
"datatype": "varchar",
"length": 40
},
],
"layername": "abclayer",
"file_type": "Parquet"
}
node.js api code.
getDataById = (dP, id) => {
return new Promise((resolve, reject) => {
const userDBName = dP.DatabaseName + ".\"" + dP.SchamaName + "\"";
const dimTable = dP.DimensionListTable;
const dimConfigTable = dP.DimensionConfigTable;
let query = "Select dim.id, dim.name, dim.description, dim.layername, dim.file_type, dimConfig.attributename, " +
"dimConfig.datatype, dimConfig.length, dimConfig.primarykey, dimConfig.partitionby, dimConfig.start_index " +
"From " + userDBName + "." + dimTable + " dim INNER JOIN " + userDBName + "." + dimConfigTable + " dimConfig " +
"ON dim.id = dimConfig.dim_id and dim.Id = '" + id + "'";
console.log("newwwwQueryyy " + query)
mysql.executeQuery(query).then(result => {
console.log("schemaData" + JSON.stringify(result) + "count" + result.length);
resolve({ "schemaData": result, "count": result.length });
}).catch(err => {
console.log(resolve({ "schemaData": [], "count": 0 }));
})
});
}
You can use reduce .
const data = [
{
"id": 788,
"name": "ABC",
"description": "abc",
"layername": "abclayer",
"file_type": "Parquet",
"attrname": "Id",
"datatype": "integer",
"length": 20
},
{
"id": 788,
"name": "ABC",
"description": "abc",
"layername": "abclayer",
"file_type": "Parquet",
"attrname": "Name",
"datatype": "varchar",
"length": 40
}
]
const obj = data.reduce((acc, curr) => {
return {
...acc,
fieldDetails: [...acc.fieldDetails, {
attributeName: curr.attrname,
datatype: curr.datatype,
length: curr.length
}]
}
}, {
name: data[0].name,
description: data[0].description,
layername: data[0].layername,
file_type: data[0].file_type,
fieldDetails: []
});
console.log(obj);
const data = [ { "id": 788, "name": "ABC", "description": "abc", "layername": "abclayer", "file_type": "Parquet", "attrname": "Id", "datatype": "integer", "length": 20 }, { "id": 788, "name": "ABC", "description": "abc", "layername": "abclayer", "file_type": "Parquet", "attrname": "Name", "datatype": "varchar", "length": 40 } ] let fieldDetails = []; data.forEach(element => { fieldDetails.push({ "attributeName": element['attrname'], "datatype": element['datatype'], "length": element['length'] }) }); const newdata = data.map(x => { return { "name": x.name, "description": x.description, "fieldDetails": fieldDetails, "layername": x.layername, "file_type": x.file_type } }) console.log(newdata[0])
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