Ariba, Inc.

Sap Se

Harshad Chavan

Dinesh Shahane

Kiran Gangadharappa

Raj Vuppala

Dennis Tunglin Lee

Prashant Bhagat

Ketan Bengali

Sushant Prasad

Dennis Lee

In an example embodiment, identifications of user actions are received from a first user device, the user actions being actions related to identifying data from a multi-tenant database to view. A portion of a first search query is received from a first user device corresponding to a first tenant in a multi-tenant architecture. A list of permissions for the first user device is then obtained. A plurality of fields is retrieved from a multi-tenant database based on the portion of the first search query, the fields obtained from data stored by multiple different tenants in the multi-tenant database, the plurality of fields retrieved being limited to fields for which the first user device has permission to view. Then a plurality of autocomplete suggestions are identified from the plurality of retrieved fields, the identifying based on the user actions.

Autocomplete of searches for data stored in multi-tenant architecture

In an example embodiment, a listing of factors to evaluate during calculating of an index score for documents in a database is received, as well as a ranking of each factor in the listing of factors. A relevance multiplication factor is also obtained. Then a document to index in the database is received and the document is indexed. An index score is calculated for the document based on the listing of factors and the ranking of each factor. Then a search query on the database is received. A search score for the document is calculated based on the search query. Then an overall relevance score is calculated for the document for the search query by combining the index score and the search score using the relevance multiplication factor.

Customizable ranking of search engine results in multi-tenant architecture

In an example embodiment, primary data is received from a first tenant in a computer network, the primary data formatted based on a first version of a schema. Then a schema definition for the first version of the schema is obtained. The primary data is then parsed, the parsing including storing a schema version number for the first version of the schema. The primary data is indexed, by obtaining, using the schema version number for the first version of the schema, a schema definition for a most recent version of the schema; applying schema evolution to the primary data by applying one or more transforms to the primary data, the one or more transforms created using the schema definition for the first and most recent versions of the schema, causing the primary data to be converted to the most recent version of the schema; and indexing the converted primary data.

Schema evolution in multi-tenant environment

In an example embodiment, a disaster is detected at a primary data center and, in response to the detection, a system switches over from the primary data center to a secondary data center such that searches from one or more client applications are routed to the secondary data center. Then, for each document stored in a search core of the secondary data center: a count is requested for the document from a first client application, it is determined whether the count for the document from the first client application matches a count for the document from the search core of the secondary data center, and, in response to a determination that the count for the document from the first client application does not match a count for the document from the search core of the secondary data center, a full publish for the document is requested from the first client application.

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Cupertino, CA, United States of America

Harshad Chavan