As a Schema Free document database, MongoDB is widely welcomed by developers and widely used because of its flexible data model, which supports rapid business iteration and research and development. In the process of enterprises using MongoDB to host applications, there will be MongoDB problems due to business scenarios such as business migration to the cloud/cross-cloud/off-cloud/cross-machine room/cross-region migration, or database version upgrade, database integration, database splitting, disaster recovery, etc. Business requirements for migration or synchronization.
During the MongoDB migration process, the migration time, the accuracy of the migrated data, and the business downtime requirements during the migration process are undoubtedly the key factors that affect the success of the migration. Therefore, it is crucial to choose the appropriate migration tool to provide efficient, safe, and accurate migration capabilities.
01Traditional data migration solution
Traditional MongoDB migration is generally based on import and export tools such as mongodump and mongorestore for data migration. Using such migration tools generally has the following problems:
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Long downtime. Since mongodump/mongorestore does not support the collection and replication of incremental data, business downtime is required during MongoDB migration. The downtime is usually up to several hours/days, which poses a great challenge to the business. Especially when the migration is difficult, migrations are usually repeated multiple times, and the business outage time is even more uncontrollable.
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The reliability is not high and it does not provide the ability to observe, diagnose and repair the migration process. If errors occur during the migration process, it generally requires re-migration, which makes migration more difficult.
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Data accuracy is difficult to guarantee. Such tools do not provide corresponding quality detection capabilities, so the quality of the migrated data is generally difficult to guarantee.
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The challenge of large data migration is that due to insufficient disaster recovery capabilities, 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 problems faced by users, NineData, a cloud-native intelligent data management platform owned by Jiuzhang Arithmetic, has launched MongoDB business non-stop data migration capabilities. NineData has achieved fully automated full data migration, as well as the ability to collect and copy incremental data. Among them, the incremental data migration capability can monitor and collect the oplog generated by the source MongoDB data changes in real time during the structure migration and full data migration, and after the full migration is completed, the changed data will be copied to the target MongoDB in real time, achieving 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 as needed. The specific process is as follows.
In addition to providing non-stop business migration capabilities, the MongoDB provided by NineData also has the following capabilities:
▶︎Ability to migrate large amounts of data or large tables
Based on multiple technical capabilities such as intelligent sharding, dynamic batch saving, concurrent migration, and table-level breakpoint resume, it provides strong migration capabilities.
▶︎Data consistency comparison
NineData provides MongoDB's data comparison capabilities, which can perform efficient consistency comparisons, quickly identify differential data, and provide corresponding correction scripts to quickly correct and repair differences, effectively ensuring the quality of migrated data.
▶︎Observable and intervenable 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 current limiting capability. You can customize the migration speed according to business needs to ensure the stability of MongoDB.
03Start fully automated migration in one minute
Although it provides relatively powerful MongoDB migration capabilities, NineData is very simple to use. It only takes 1 minute to complete the task configuration, and the data migration and synchronization process can be completely automated. 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 replication data sources, replication objects, and replication types, you can quickly start fully automated migration of MongoDB. When the task is completed and 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 data consistency to quickly discover, locate and repair differential data. Next, we will perform data consistency verification on the mongodb data just migrated.
3.2 Comparison of full data
MongoDB migration and synchronization plan: NineData full data comparison
As shown in the video, the MongoDB data just migrated can be configured to run a data comparison task for accurate and complete data comparison. During the data comparison process, NineData will accurately compare the content of each Document, quickly discover differences, and provide targeted correction scripts.
At this point, when the data migration is completed, data verification and business verification are passed, the business can choose a low-peak period to stop MongoDB and switch to the new database, thus completing the entire migration process.
04Write 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. Currently, NineData has completed large-scale application practice in many industries such as operators, finance, manufacturing, real estate, and e-commerce.
Data Migration-Migration Tool-Data Transfer-NineData-Jiu Zhang Arithmetic