International Business Machines Corporation

Amazon Technologies, Inc.

Pallavi Priyadarshini

Parameswara R Tatini

Maryela Evelin Weihrauch

Kollol K Misra

Vinayak Joshi

James Willis Pickel

Mamta Sharma

Mark Tan

Jeffrey Ross Panaguiton Damian

Arpit Gaur

A streamlined buyback solution may pre-calculate user data and pre-assess a user inventory, and then may present a buyback offer to a user based on user activity. A user trust assessment may determine the trust score for the user. The buyback assessment may identify items in the user inventory and determine assessed values and opportunity criteria for the items based on data from cost analysis and/or data from user behavior analysis. The opportunity criteria may be based on a model that is trained to analyze user patterns using a learning model. Based on the trust score, assessed values, and opportunity criteria, the user may be presented with a streamlined buyback offer allowing the user to apply the buyback offer value to discount a primary purchase order in a seamless transaction.

Buyback offers using precalculated cached user data

A tool for standardized layout transformations of BIDI data exchanged between legacy and modern systems is provided. Responsive to a determination that data requested in a client request is BIDI data, the tool initiates a layout transformation of the data requested at a single point within a database server. The tool determines a plurality of data from a connection string of the client request, wherein the plurality of data indicates a type of bi-directional data transformation. Responsive to the plurality of data from the connection string indicating data being returned to the client application from a database, the tool converts visual data to logical data at the single point within the database server. The tool returns transformed BIDI data to a client application. The tool inserts the transformed BIDI data into a database.

Efficient handling of bi-directional data

A method for updating drivers. The method may include transmitting a connection request from a first computer to a second computer. The method may include creating a connection handshake in the first computer in response to the transmitted connection request, whereby the connection handshake includes client credentials and driver information. The method may include transmitting the created connection handshake from the first computer to a second computer. The method may include determining the first computer is authorized to connect to the second computer based on the client credentials. The method may include determining a first version level of a first plurality of drivers associated with the first computer is a lower version level than a second version level of a second plurality of drivers associated with the second computer based on the driver information. The method may include transmitting a driver update. The method may include installing the driver update.

Updating database drivers for client applications through a database server push

Exposing existing database server attributes that are used for load balancing, accounting, log filtering, problem determination, and end user identification as tenant identifiers. An example of such attribute is the values in existing client information fields that are available to applications for passing additional information to the database server via connections. These values are then used by the database server for enhanced operational functions of load balancing, accounting, log filtering, problem determination, and end user identification.

Supporting multi-tenant applications on a shared database using pre-defined attributes

A first compute node of a plurality of compute nodes of a database cluster may receive a request for a database transaction from a client application. The client application may be located within the first compute node. A first connection may be established, without regard to whether another compute node has a lighter workload than the first compute node, between the client application and a first database of the database cluster. The first connection may be a local connection, wherein the first database is located within the first compute node. The first compute node may detect that a failure associated with the first database has occurred. The first compute node may execute a failover operation to continue servicing the request for the data. The executing of a failover operation may include establishing a second connection between the client application and a second database of the database cluster.

Automated local database connection affinity and failover

A tool for standardized layout transformations of BIDI data exchanged between legacy and modern systems is provided. The tool retrieves client connection information from a client request for data. The tool determines, based, at least in part, on the client connection information, a client application's operating system. The tool determines whether the data requested in the client request is BIDI data. Responsive to a determination that the data requested is BIDI data, the tool initiates a layout transformation of the data requested at a single point within the database server. The tool returns transformed BIDI data to the client application.

Disclosed aspects relate to structured data and unstructured data integration management to provide a valid Java Database Connectivity (JDBC) results-set. A query is received by a database driver. In response to receiving the query, a single data frame having both a set of structured data and a set of unstructured data is constructed in a dynamic fashion by the database driver. Based on the single data frame, a valid JDBC results-set for the query is compiled by the database driver. Accordingly, a query response having the valid JDBC results-set is provided by the database driver.

Integration management for structured and unstructured data

As disclosed herein a method, executed by a computer, for enabling multi-tiered software stack diagnostic collection includes initiating, on a first tier of a multi-tiered software stack, a targeted diagnostics collection corresponding to a symptom of a failure, determining a symptom to a reason code mapping corresponding to the symptom in a product of a subsequent tier, and issuing a command to the product of the subsequent tier to initiate targeted diagnostics collection corresponding to the reason code. Problems or failures in a multi-tiered software stack environment may require analyses of programs or products corresponding to each tier of a multi-tiered software stack. The method described herein enables simultaneous collection of diagnostics for programs or products corresponding to each tier of a multi-tiered software stack. A computer system, and a computer program product corresponding to the method are also disclosed herein.

Growing community of inventors

Bengaluru, India

Pallavi Priyadarshini