Microsoft Technology Licensing, LLC (Redmond, WA)

The schema of a database is processed and the table tree structure is constructed to define the data relationships that are identified within the schema. The structure of the table tree not only accommodates relationships between main tables of the data but also permits side tables and circular references between tables, if encountered while processing the schema. The table tree structure that is generated is then absorbed by a migration mechanism which iteratively moves data according to the rules. Each layer of the table tree structure are moved in a sequence, with referenced layers being moved before referencing layers. Temporary null values are used to accommodate circular links, while side tables are included during the migration of tables that reference the primary table. This method provides completeness and fault tolerance/failure recovery.

The relational database is a widespread device that can store and retrieve data. A relational database permits an entry to reference or “relate” to another entry through points or keys. Forexample, individual data entries may contain information regarding individual clients, like the customers’ first and last names, mailing addresses, birth dates and similar information. The storage of this information in a relational database canbe visualized by using an array of tables that includes table columns that correspond to individual categories of information like first names, last names and so on, as well as table rows that correspond to the individual entries in the data. In the above example one data entry, containing information about a single customer, could be identified with an identifier, such as a customer identifier, which could also be visualized in the form of the column of data within the table. Data entries that are not related to the above-referenced customer entries using the customer identifier. A data entry that corresponds to a particular order can be used to identify the customer who placed the order simply by providing the customer’s ID. The relational database permits the establishment of relationships between customers, orders and other information. This makes it possible to perform various data analysis functions such as determining what orders have been placed by specific customers.

The individual fields of data, the relationships between data fields as well as the data structures in which the data is kept and similar elements of relational databases are generally specified in one or several schemas that define the way that a relational database stores data and connects the data it stores to each other. Sometimes it is necessary to move certain data from one database to another. For example, a source relational database may need totransfer certain data to a destination relational database to ease a workload in storage or computing with the source relational database. Another example is that a particular customer of an organization that provides relational databases may seek tomove some or all of their information to an alternative relational database.

Methods of migrating a clearly defined collection of data from a relational source database to a target relational database are usually dependent on the schemas used by the relational databases. The migration processes can be complicated and difficult to check and fix.

To address the problems of complexity and schema-specific relational database migration mechanisms, a schema agnostic mechanism to migrate delineated data from relational databases is presented. The schema of the database is parsed and a table tree structure created to delineate the connections between the data within the schema. In addition to accommodating relationships between primary tables of data, the table tree structure is also able to accommodate possible side tables of data and possible circular references between tables in the event that such references are discovered while parsing the schema. The structure of the table tree is then used by a migration mechanism, which iteratively moves data according to the structure. The layers that are referenced are moved before individual layers. Circular links are accommodated through temporary null values, and side tables are accommodated during migrationof the main table that is referencing. This process is complete and fault tolerance/failure recuperation.

This Summary is intended to present a variety of concepts in a simplified form that are further described in the detailed description. The Summary is not intended to identify the key features or essential characteristics of the subject matter claimed. It also is not intended to limit claims.

Additional advantages and features are highlighted in the following detailed description that follows with reference to the accompanying drawings.

Click here to view the patent on USPTO website.

 

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5. This collection of patent publication is the best to examine for similarity to your invention. Be sure to read the specification and claims. You may find additional patents by referring to the patent examiner and the applicant.

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7. Find other US patent publications by keyword searches in PatFT and AppFT databases, classification search of non-U.S. patents using the below, and searching for non-patent patent disclosures in the literature of inventions using web search engines. Here are some examples:

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