Mongoose how to write a query with if condition?

Question

Suppose I have the following query:

post.getSpecificDateRangeJobs = function(queryData, callback) {
var matchCriteria = queryData.matchCriteria;
var currentD         


        

Answer 1

As I understood, I can suggest you following general query. Modify this according to your need.

db.getCollection('vacancy')
.aggregate([{$match: { $and: [ 
{publishDate:{ $gte: new Date(2017, 4, 13) }} , 
{publishDate:{ $lte: new Date(2017, 4, 14) }}
]} }])

Summary:

• Used match to filter out result.
• We are using aggregation Pipeline so you can add more aggregate operators n the pipeline
• Using $and perform a logical AND because we want to fetch some documents between a give range say 1 day, 2 days or 1 month (change date parameters according to your requirement)

Answer 2

You can use javascript to dynamically create json document based on your query parameters.

Your updated function will look something like

post.getSpecificDateRangeJobs = function(queryData, callback) {

  var matchCriteria = queryData.matchCriteria;
  var currentDate = new Date();

  // match document
  var match = {
    "expireDate": {
      "$gte": currentDate 
    }
  };

  if (matchCriteria !== "") {
    match["$text"]: {
      "$search": matchCriteria
    }
  };

  // group document
  var group = {
    _id: null
  };

  // Logic to calculate hours difference between current date and publish date is less than 30 hours.

  if (queryData.dateGroups.thirtyHourAgo) {
    group["thirtyHourAgo"] = {
      "$sum": {
        "$cond": [{
            "$lte": [{
              "$divide": [{
                "$subtract": [currentDate, "$publishDate"]
              }, 1000 * 60 * 60]
            }, 30]
          },
          1,
          0
        ]
      }
    };
  }

  // Similarly add more grouping condition based on query params.

  var postsCollection = post.getDataSource().connector.collection(
    post.modelName
  );

  // Use aggregate builder to create aggregation pipeline.

  postsCollection.aggregate()
    .match(match)
    .group(group)
    .exec(function(err, groupByRecords) {
      if (err) {
        return callback("err");
      }
      return callback(null, groupByRecords);
    });

};