By Amol Nayak, Cyrus Dasadia
MongoDB is a high-performance and feature-rich NoSQL database that kinds the spine of the structures that strength many alternative corporations – it's effortless to determine why it's the preferred NoSQL database out there. jam-packed with many beneficial properties that experience turn into crucial for lots of varieties of software program execs and exceptionally effortless to take advantage of, this cookbook comprises many strategies to the standard demanding situations of MongoDB, in addition to information on potent strategies to increase your abilities and capabilities.
This publication begins with the best way to initialize the server in 3 various modes with numerous configurations. you'll then be brought to programming language drivers in either Java and Python. a brand new function in MongoDB three is for you to connect with a unmarried node utilizing Python, set to make MongoDB much more well liked by somebody operating with Python. you are going to then research more than a few extra issues together with complicated question operations, tracking and backup utilizing MMS, in addition to a few very worthwhile management recipes together with SCRAM-SHA-1 Authentication. past that, additionally, you will locate recipes on cloud deployment, together with suggestions on the right way to paintings with Docker boxes along MongoDB, integrating the database with Hadoop, and information for bettering developer productivity.
Created as either an available educational and a simple to exploit source, available everytime you have to resolve an issue, MongoDB Cookbook can assist you deal with every thing from management to automation with MongoDB extra successfully than ever ahead of.
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Additional info for MongoDB Cookbook (2nd Edition)
Note that this database might not exist, yet getDB will not throw any exception. Instead, the database will get created whenever we add a new document to the collection in this database. DBCollection type representing the collection in the database. This too might not exist in the database and will get created on inserting the first document automatically. getCollection("person"); Before we insert a document, we will drop the collection so that even upon multiple executions of the program, we will have just one document in the person collection.
Xml file that we have here is pretty simple. We defined a dependency on mongo's Java driver. org, to resolve the artifacts. xml. html. MongoClient class is the backbone. We first instantiate it using one of its overloaded constructors giving the server's host and port. In this case, the hostname and port were not really needed as the values provided are the default values anyway, and the no-argument constructor would have worked well too. info Installing and Starting the Server The next step is to get the database, in this case, test using the getDB method.
For this recipe, we are intentionally dropping the collection so that recurring runs will always yield one record in the collection. Next, we instantiate a dictionary called employee with a few values such as name and age. We will now add this entry to our person collection using the insert_one() method. As we now know that there is an entry in the person collection, we will fetch one document using the find_one() method. This method returns the first document in the collection, depending on the order of documents stored on the disk.