As a Schema Free document database, MongoDB is widely welcomed by developers and widely used because of its flexible data model, which supports rapid iterative research and development of business. In the process of enterprises using MongoDB to carry applications, there will be MongoDB due to business scenarios such as cloud migration/cross-cloud/off-cloud/cross-computer room migration/cross-region migration, or database version upgrades, database integration, database splitting, and disaster recovery. Business requirements for migration or synchronization.
In the process of MongoDB migration, the migration time, the accuracy of migration data, and the downtime requirements of the business during the migration process are undoubtedly the key factors affecting the success of the migration. Therefore, how to choose an appropriate migration tool to provide efficient, safe, and accurate migration capabilities is crucial.
01Traditional Data Migration Solution
Traditional MongoDB migration is generally based on import and export tools such as mongodump and mongorestore for data migration. Using this migration tool generally has the following problems:
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The downtime is long. Since mongodump/mongorestore does not support the collection and replication of incremental data, during the MongoDB migration period, business downtime is required. The downtime is usually as long as several hours/days, which is a great challenge to the business. Especially when the migration is difficult, the migration is usually repeated many times, and the service shutdown time is even more uncontrollable.
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The reliability is not high, and the observation, diagnosis and repair capabilities of the migration process are not provided. Mistakes in the migration process generally require re-migration, and the migration is difficult.
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Data accuracy is difficult to guarantee. Since such tools do not provide corresponding quality detection capabilities, it is generally difficult to guarantee the quality of migrated data.
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The migration of large data volumes is a challenge. Because of its insufficient disaster recovery capability, it cannot well support the migration of large data volumes and large tables.
02 NineData Data Migration Solution
In order to solve the MongoDB migration problem faced by users, NineData, a cloud-native intelligent data management platform under Nine Zhang Arithmetic, launched the MongoDB business non-stop data migration capability. NineData realizes fully automated full data migration and incremental data collection and replication capabilities. Among them, the incremental data migration capability can monitor and collect the oplog generated by source MongoDB data changes in real time during structure migration and full data migration, and copy the changed data to the target MongoDB in real time after the full migration is completed, realizing source/target MongoDB dynamic replication. Based on the changed data migration capability, during the MongoDB data migration process, the business can provide services normally without stopping the service. Finally, the business can choose the corresponding time point to switch to the target MongoDB according to the needs. The specific process is shown in the figure below.
In addition to providing non-stop service migration capabilities, MongoDB provided by NineData also has the following capabilities:
▶︎The ability to migrate large amounts of data or large tables
Based on various technical capabilities such as intelligent sharding, dynamic batch accumulation, concurrent migration, and table-level breakpoint resume transfer, it provides strong migration capabilities.
▶︎Data consistency comparison
NineData provides the data comparison capability of MongoDB, which can perform efficient consistency comparison, quickly identify difference data, and provide corresponding correction scripts to quickly correct and repair difference content, effectively ensuring the quality of migrated data.
▶︎Observable and intervening capabilities
NineData provides detailed migration status, progress and detailed information. When migration exceptions occur, it will provide a variety of diagnostic and repair capabilities to help you ensure task stability. At the same time, it provides migration flow limiting capability, and you can customize the migration speed according to your business needs to ensure the stability of MongoDB.
03Start fully automated migration in one minute
Although it provides a relatively powerful MongoDB migration capability, NineData is very easy to use. It only takes 1 minute to complete the task configuration, and can fully automate the data migration and synchronization process. Let's take a look at the configuration process of the entire task:
3.1 Configure replication tasks
MongoDB Migration and Synchronization Solution: NineData Configuration Replication Task
Based on the above operations, after completing the selection of the replication data source, replication object, and replication type, you can quickly start the fully automated migration of MongoDB. When the task is started, NineData will automatically perform full data migration and incremental data replication.
After the data migration is completed, you can also configure the corresponding data comparison to verify the data consistency, quickly discover, locate and repair the difference data. The data consistency check will be performed on the mongodb data just migrated.
3.2 Comparison of full data
MongoDB Migration and Synchronization Solution: NineData Full Data Comparison
As shown in the video, for the MongoDB data just migrated, you can configure and run the data comparison task to perform accurate and complete data comparison. During the data comparison process, NineData will accurately compare the content of each Document, quickly find out the difference, and provide targeted revised scripts.
At this point, when the data migration is completed, the data verification and business verification are passed, the business can choose a low-peak period to shut down MongoDB and switch to a new database, thus completing the entire migration process.
04 write at the end
Of course, in addition to MongoDB migration, NineData supports long-term replication between MongoDB instances, which can be applied to business scenarios such as data disaster recovery, read-write separation, and test data construction. At the same time, NineData has also supported the migration and replication of dozens of common databases. NineData provides out-of-the-box SAAS mode and enterprise-specific cluster mode to meet the highest data security compliance requirements of enterprises. At present, NineData has completed large-scale application practice in many industries such as operators, finance, manufacturing, real estate, and e-commerce.
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