![]() ![]() ![]() Here, we match the values and return only those documents where the gender value is Male and also apply the sort() method for displaying the documents in descending order as per the name field. The projection parameter takes the documents in the following form: ) The matching array elements are returned in the order they appear in the input array. It is used to return all fields in the matching documents. Use to return documents that match the query filter. Use this parameter to return all the documents of a collection. ![]() Syntax: db.Collection_name.find(query, projection) Parameter Here, we also cover an example that will help you to understand how to find out the documents with multiple values. This then allows us to appropriately filter the documents of our interest, but also to perform further analysis on the data distribution of only the selected subset. In this topic, we discuss the query that is used to find multiple values or documents from the documents. As soon as the area is drawn, MongoDB Compass reports the filtering condition in the FILTER field at the top. When we have large data set and we only want to find the documents of a particular value in that situation we use aggregation operations. To find the multiple values, we can use the aggregation operations that are provided by MongoDB itself. The find() method returns a cursor of the result set and prints all the documents. MongoDB provides the find() that is used to find multiple values or documents from the collection. MongoDB find multiple values greater than.MongoDB find multiple values same field.MongoDB find multiple values in the array.Where ttt.date = date_trunc('day', t.date) and t.temp = ttt. Add the stage as per your project requirements we add the lookup aggregation stage. Open your collections that will look as follows. We use the same database and collections we created using a Mongo shell. Create a brand new database and two collections if you want. Select date_trunc('day', t.date) as date, max(t.temp) as temp Open MongoDBCompass and connect to the server. …a possible solution could be to use a WITH clause (or Common Table Expression ) to extract the maximum temperature per day and then join back to the original data for getting all the timestamps, like so: test=> with ttt as If you have an equivalent data-set in a traditional SQL database like PostgreSQL… test=> select * from temperatures order by date $tempMax refers to the maximum temperature field determined in the previous grouping stageįrom the filtered docs in variable maxOccur, only the date field is mapped to the resulting array using $$maxOccur.date as the mapping expression.Suppose you have a user collection and you. $$i.temp refers to the temperature field of all elements in the items array which has variable name i here Filter by multiple fields in MongoDB In this article, I will share with you how to filter by multiple fields on a collection in MongoDB. In Compass, use the left navigation panel to select the database and the collection you want to import the data to.Note that $ is used to reference root document fields whereas $$ is used to reference variables. This part of the query constructs a new field called tempMaxDates in the projection stage.įor that, the items field from the grouping stage is first filtered to get only the documents of the group where the temperature equals the maximum. It can be installed on Linux, Mac, or Windows. Use Compass to visually explore your data, run ad hoc queries, perform CRUD operations, and view and optimize your query performance. Selecting only the max temperature per day can be easily achieved with a trivial $group aggregation pipeline stage, like this: db.temperatures.aggregate( MongoDB Compass is a GUI based tools (unline MongoDB Shell) to interact with local or remote MongoDB server and databases. ![]() After applying the conditions click on FIND button See the ouput below the applied condition block. The task now is to query for the maximal temperature for every day and the time(s), this temperature happened the day. MongoDB compass find multiple conditions Here, we have applied the conditions as display those fields where the born year is greater than 1945 and display two fields devname and born and sort the result according to devname ascending order. Let’s assume you have the following documents with hourly measured temperatures in a collection called temperatures in your MongoDB… [ However, these methods fall short when it comes to filtering against fields containing rich textual data. Query task: initial data situation & first trivial approach MongoDB queries that filter data by searching for exact matches, using greater-than or less-than comparisons, or by using regular expressions will work well enough in many situations.
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