Microsoft Technology Licensing, LLC

Yuva Priya Arunkumar

Serguei Martchenko

Aigerim Shintemirova

Ariane Belle Tsai

Varadarajan Thiruvillamalai

Yingtao Dong

Deiva Shankar UthayaSankaralingam

Annalilia Horstmann Cavazos

Nicole Isis Cranon

Anthony Lin

Suyang Jiang

Andrew Kovalenko

Kidus Yohanes Sendeke

Techniques of data flow control are disclosed herein. One example technique includes upon receiving a notification indicating a change to a content item in a source shard, parsing the content item to extract data representing attributes of the content item and identifying a partition of the system-wide index based on the extracted data representing the attributes of the content item. The example technique can also include transmitting, to a token issuer, a request for a token that represents a permission to write to the identified partition of the system-wide index and upon receiving a token issued by the token issuer in response to the transmitted request, transmitting the extracted data representing the attributes of the content item along with the received token to write the extracted data in the partition of the system-wide index.

Data flow control in distributed computing systems

Datacenters or other large-scale distributed computing systems can provide computing resources such as processing power and data storage as computing services accessible to tenants via a computer network. A tenant, such as a corporation, school, or organization, can have multiple users or groups of users with corresponding websites. To facilitate ready access, data relevant to a user, group, or website of a tenant can be stored in a dedicated network location sometimes referred to as a shard. A shard can be a physical and/or logical storage location that contains emails, chats, instant messages, documents, photos, videos, or other types of content items with which the user, group, or website can interact.

Techniques of transaction support for a database are disclosed herein. One example technique includes generating a new version value for key-value pairs in the database and creating, in the database, a new key-value pair corresponding to a parameter to be updated with a new value using both the generated new version value and a name of the parameter as a key and the new value as the corresponding value for the created new key-value pair. The example technique can then include determining whether creating the new key-value pair is completed successfully in the database, and in response to determining that creating the new key-value pair corresponding to the parameter is not completed successfully, the existing value of the parameter is returned as a current value of the parameter instead of the new value in response to a query for the current value of the parameter.

Transactional support for non-relational database

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Redmond, WA, United States of America

Yuva Priya Arunkumar