Mongodb compass filter example install#
Mongodb compass filter example software#
Mongodb compass filter example code#
Mongodb compass filter example download#

For the latter, you must provide an Account Domain and Account Password. MongoDB SetupWizard Step 2įor this tutorial, MongoDB will be installed under the Network Service user, but alternatively, you can specify a local or domain user if required. See the images below with arrow prompts to install.įigure 3.Locate and open the downloaded installation file.

Mongodb compass filter example install#

To install MongoDB onto your computer/server follow the steps below.

Select Windows 64-bit 圆4 from the OS dropdown.

Choose the current release from the version dropdown.

Mongodb compass filter example download#

To download the latest version of MongoDB, follow the steps below. MongoDB Setup & Connecting To DB Downloading MongoDB

Mongodb compass filter example software#

In addition to installing and utilizing MongoDB, another piece of software will be used in Tandem with it too. In this following document, key factors of getting started with NoSQL with a database container of MongoDB will be explored. NoSQL is an emerging database technology that provides a non-relational structure of data. Advanced MongoDB CLI Setup (Windows OS Only).Creating a collection adding documents (data).Creating a Database & Initial Collection.

Compass for MongoDB Setup & Connecting To DB.

The sort function can be used to return the documents in descending order after which the limit clause can be used to limit the number of documents being returned.

Use a combination of sort and the limit function to return the last n documents in the collection.

The delimiters // can also be used for pattern matching.

The ‘i’ along with the $regex operator can be used to specify case insensitivity so that strings can be searched whether they are in lower case or upper case.

The ^ and $ symbol can be used for exact text searches with ^ being used to make sure that the string starts with a certain character and $ used to ensure that the string ends with a certain character.

This operator can be used to find for certain strings in the collection.

Pattern matching can be achieved by the $regex operator.

Note: If the search is performed on a string which is greater than say 38,000 characters, it will not display the right results. Hence we have clearly shown that to fetch the last ‘n’ documents in the collection, we can first sort the documents in descending order and then use the limit clause to return the ‘n’ number of documents which are required. The output clearly shows that the last two documents in the collection are displayed. If the command is executed successfully, the following Output will be shown: Here we have set the limit clause (2), so it will fetch the last two documents. The -1 basically indicates to sort the documents in reverse order or descending order so that the last document becomes the first document to be displayed.Ģ) Then use the limit clause to just display the number of records you want.

Mongodb compass filter example code#

Here in the below code we have used regex operator to specify the search criteria.ĭb.Employee.find().limit(2).forEach(printjson)ġ) When querying for the documents, use the sort function to sort the records in reverse order based on the _id field value in the collection. Let’ also assume that we have the following documents in our collection. Let’s assume that we have our same Employee collection which has the Field names of “Employeeid” and “EmployeeName”. The following example shows how this can be done.

The regex operator in MongoDB is used to search for specific strings in the collection. Using $regex operator for Pattern matching Fetching last ‘n’ documents from a collection.Pattern matching without the regex operator.Using $regex operator for Pattern matching.Hence, one can use regular expressions to assist in retrieving data based on pattern matching search values. Sometimes when retrieving documents in a collection, you may not know exactly what the exact Field value to search for. Regular expressions are used for pattern matching, which is basically for findings strings within documents.