Ebay, Incorporated

Senthilnathan Subramanian

Scott Sharp

Vijay Kumar Sivakumar

Mansi Narula

Anand Sekar Rengasamy Rajasekar

Vijayshree Singh

Srilatha Koneru

Abhishek Andhavarapu

In various example embodiments, a system and method for consistent schema-less and scalable database storage are described herein. A data object is generated. The data object corresponds to a column of a table from a database. The data object includes information regarding an order that is placed over a network publication system. The data object is stored in the column of the table in the database. A request to access the data object is received from a device of a first user. The data object is transmitted to the device of the first user. The data is kept coherent during concurrent updates by using optimistic locks. The data is kept backward and forward compatible utilizing intermediate data structures common to both versions of the software. The data is kept searchable by using lookup indexes. The storage system is kept scalable by sharing data across many databases.

Consistent schema-less scalable storage system for orders

In various example embodiments, a system and method for consistent schema-less and scalable database storage are described herein. A data object is generated. The data object corresponds to a column of a table from a database. The data object includes information regarding an order that is placed over a network publication system. The data object is stored in the column of the table in the database. A request to access the data object is received from a device of a first user. The data object is transmitted to the device of the first user. The data is kept coherent during concurrent updates by using optimistic locks. The data is kept backward and forward compatible utilizing intermediate data structures common to both versions of the software. The data is kept searchable by using lookup indexes. The storage system is kept scalable by sharding data across many databases.

A distributed search system can be partitioned into buckets based on entities and time periods. Addresses for the partitions can be formed from entity parameters and time period parameters. An indexing scheme for the partitions can be maintained at one or more search clusters, which may be geographically separate from one another. Consistency can be maintained across the search clusters though routing queries between clusters based at least in part on the status of partitions.

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San Jose, CA, United States of America

Senthilnathan Subramanian