MongoDB 3.3.9 is released

MongoDB
July 6, 2016 | Updated: July 7, 2016
#Releases#Company

MongoDB 3.3.9 has been released. As a reminder, 3.3.9 is a development release and is not intended for production use.

This version of MongoDB includes a preview of some of the new features coming in MongoDB 3.4 as announced by Eliot Horowitz at the MongoDB World 2016 Keynote:

  • Faceted search, via the $facet aggregation stage
  • Recursive lookup, via the $graphLookup aggregation operator

Other features and bug fixes in this release include:

  • SERVER-5905 Add data collection and command to get histogram of query response times
  • SERVER-9566 Add support for position independent executables
  • SERVER-18966 Allow exclusion in $project stage of aggregation pipeline
  • SERVER-23265 Consistent diagnostics for aggregate command
  • SERVER-23816 Add $sortByCount aggregation stage
  • SERVER-23836 add $count stage to aggregation
  • SERVER-24582 MongoDB secondary node crashes randomly when primary node is killed/dies
  • TOOLS-349 mongoimport may report incorrect number of imported documents
  • WT-2664 Change eviction so any eviction thread can find candidates
  • WT-2702 Under high thread load, WiredTiger exceeds cache size

All Issues | Download

As always, please let us know of any issues.

-- The MongoDB Team

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Getting Started With MongoDB Atlas for Cloud Manager Users

Jay Gordon is a Technical Account Manager with MongoDB and is available via our chat to discuss MongoDB Cloud Products at https://cloud.mongodb.com . MongoDB recently released our new Database as a Service (DBaaS) platform known as Atlas. MongoDB Atlas makes it easy to set up, operate, and scale your MongoDB deployments in the cloud. From high availability to scalability, security to disaster recovery – we’ve got you covered. As a Cloud Manager user, you may want to reduce your operational overhead and move to Atlas. No longer will you need to manage server hardware or your cloud instances. You only need to select your requirements from the Atlas configuration and begin working. Authentication configuration, SSL encryption as well as monitoring and backups are all managed by MongoDB. The very first step in this process for existing Cloud Manager users is signing up for a new group. Navigate your browser to https://cloud.mongodb.com and log in with your normal credentials, once you’ve done this you should return to your deployment page: Next step, we’ll click “Settings” and then “My Groups” on the left side of the page, we’ll find our existing Cloud Manager groups: As you see on the right side, there’s a green “Add Group” button. Go ahead and select this, you’ll be given options now to begin creating your MongoDB Atlas Group or another Cloud Manager Group. Today we’re going to work with Atlas. Click the “MongoDB Atlas" option: Our buddy the Automation Robot will begin the process of setting up your new Atlas group in a few seconds! Once the Automation Robot is done you’ve now entered Atlas! Welcome to your new Clusters Page: To start building your Atlas clusters, click the green button that says “Build a New Cluster.” If you have a promotional or coupon code, you can apply it by entering it in the bottom of the payment details form under “Coupon or Activation Code”. Click save at the bottom of the screen and you’re ready to start building something GIANT using MongoDB Atlas!

July 1, 2016
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COSMOS SQL Migration to MongoDB Atlas

Azure Cosmos DB is Microsoft's proprietary globally distributed, multi-model database service. Cosmos DB supports SQL interface as one of the models in addition to the Cosmos MongoDB API. Even customers with the SQL interface use COSMOS for the document model and the convenience of working with a SQL interface. We have seen customers struggle with scalability issues and costs with Cosmos DB and want to move to MongoDB Atlas. Migrating an application from Cosmos DB SQL to MongoDB Atlas involves both application refactoring and data migration from Cosmos to MongoDB. The current tool set for migrating data from Cosmos SQL to MongoDB Atlas is fairly limited. While the Azure datamigration tool can be used for a 1 time export, customers frequently need zero downtime for migrations which the datamigration tool cannot satisfy. All writes into the source COSMOS SQL should be discontinued before the data migration can be performed. This puts a lot of pressure on the customer in terms of downtime requirements and planning out the migration. PeerIslands has built a COSMOS SQL migrator tool that addresses these concerns. The tool provides a way to perform COSMOS SQL migration with near zero downtime. The architecture of the tool is explained below Initial Snapshot The tool uses the native datamigrationtool to export data as JSON files from Azure Cosmos DB SQL API. The Data Migration tool is an open-source solution that imports/exports data to/from Azure Cosmos DB. The exported data in JSON format is then imported into MongoDB Atlas using the mongoimport. Figure 1: Initial Snapshot processing stages. Change data capture Using the combination of the above tools we complete the initial snapshot. But what happens to documents that are updated or newly inserted during migration? Just prior to the initial snapshot process being started, the migration tool starts the change capture process. The migration tool listens to the ongoing changes in CosmosDB using the Kafka Source Connector provided by Azure and pushes the changes to a Kafka topic. Optionally KSQL can be used to perform any transformation required. Once the changes are in Kafka, the migration tool uses the Atlas Sink Connector to push the ongoing message to the Atlas Cluster. Below is the diagram depicting the flow of change stream messages from Cosmos SQL to MongoDB. Figure 2: The flow of change stream messages from Cosmos SQL to MongoDB The COSMOS SQL migration tool provides a GUI based point & click interface that brings together the above capabilities for handling the entire migration process. Since the tool is capable of change data capture, the tool provides a lot of flexibility for migrating your data without any downtime. Figure 3: Cosmos SQL migration tool dashboard In addition to data migration, PeerIslands can help with complete application refactoring required for migrating out of COSMOS SQL interface. Reach out to partners@mongodb.com if you need to migrate from COSMOS SQL to MongoDB Atlas.

January 31, 2023