Abstract: Herein are fine grained updates to pieces of JavaScript object notation (JSON) documents by database statements that can update, delete, and insert parts of JSON documents. In an embodiment, a computer receives a request that specifies a modification of a JSON document that is stored in a compressed format in persistent storage. The modification adds additional content to the JSON document, and/or replaces an old value in the JSON document with a new value that is not a same size as the old value. The modification is recorded in a change log. The change log is eventually applied to the compressed format of the JSON document in the persistent storage without entirely rewriting the compressed format of the JSON document in the persistent storage.

Abstract: Herein are fine grained updates to pieces of JavaScript object notation (JSON) documents by database statements that can update, delete, and insert parts of JSON documents. In an embodiment, a computer receives a request that specifies a modification of a JSON document that is stored in a compressed format in persistent storage. The modification adds additional content to the JSON document, and/or replaces an old value in the JSON document with a new value that is not a same size as the old value. The modification is recorded in a change log. The change log is eventually applied to the compressed format of the JSON document in the persistent storage without entirely rewriting the compressed format of the JSON document in the persistent storage.

Abstract: The present invention relates to autonomous tuning of a data grid of documents in a database. Herein are techniques for storage cells to autonomously maintain local indices and other optimization metadata and algorithms to accelerate selective access into a distributed collection of documents. In an embodiment, each storage cell persists a respective subset of documents. Each storage cell stores, in memory, respective index(s) that map each item to location(s), in one or more documents of the respective subset of documents, where the item occurs. One or more computers execute, based on at least a subset of the indices of the storage cells, a data access request from a database management system. In an embodiment, a cloud of JSON document services provides an easy-to-use, fully autonomous JSON document database that horizontally and elastically scales to deliver fast execution of document transactions and queries without needing tuning by a database administrator.

Abstract: Herein are fine grained updates to pieces of JavaScript object notation (JSON) documents by database statements that can update, delete, and insert parts of JSON documents. In an embodiment, a computer receives a request that specifies a modification of a JSON document that is stored in a compressed format in persistent storage. The modification adds additional content to the JSON document, and/or replaces an old value in the JSON document with a new value that is not a same size as the old value. The modification is recorded in a change log. The change log is eventually applied to the compressed format of the JSON document in the persistent storage without entirely rewriting the compressed format of the JSON document in the persistent storage.

Abstract: The present invention relates to autonomous tuning of a data grid of documents in a database. Herein are techniques for storage cells to autonomously maintain local indices and other optimization metadata and algorithms to accelerate selective access into a distributed collection of documents. In an embodiment, each storage cell persists a respective subset of documents. Each storage cell stores, in memory, respective index(s) that map each item to location(s), in one or more documents of the respective subset of documents, where the item occurs. One or more computers execute, based on at least a subset of the indices of the storage cells, a data access request from a database management system. In an embodiment, a cloud of JSON document services provides an easy-to-use, fully autonomous JSON document database that horizontally and elastically scales to deliver fast execution of document transactions and queries without needing tuning by a database administrator.

Abstract: Techniques for dynamically generating database views and class objects for allowing access to domain data stored in a repository are provided. A computer-implemented method, a system, and/or a machine-readable medium storing instructions executable by one or more processors may include generating a database view and a class object using metadata included in a domain model, and retrieving domain data from a repository using the database view and the class object. For example, a method may include obtaining a domain model from a repository, the domain model including metadata corresponding to a set of domain data stored in the repository, generating a database view of a subset of the set of domain data using the metadata, generating a class object for the subset using the metadata, generating mapping information, and retrieving the subset of domain data from the repository using the database view, the class object, and the mapping information.

Abstract: Techniques for dynamically generating database views and class objects for allowing access to domain data stored in a repository are provided. A computer-implemented method, a system, and/or a machine-readable medium storing instructions executable by one or more processors may include generating a database view and a class object using metadata included in a domain model, and retrieving domain data from a repository using the database view and the class object. For example, a method may include obtaining a domain model from a repository, the domain model including metadata corresponding to a set of domain data stored in the repository, generating a database view of a subset of the set of domain data using the metadata, generating a class object for the subset using the metadata, generating mapping information, and retrieving the subset of domain data from the repository using the database view, the class object, and the mapping information.

Abstract: Techniques for dynamically generating database views and class objects for allowing access to domain data stored in a repository are provided. A computer-implemented method, a system, and/or a machine-readable medium storing instructions executable by one or more processors may include generating a database view and a class object using metadata included in a domain model, and retrieving domain data from a repository using the database view and the class object. For example, a method may include obtaining a domain model from a repository, the domain model including metadata corresponding to a set of domain data stored in the repository, generating a database view of a subset of the set of domain data using the metadata, generating a class object for the subset using the metadata, generating mapping information, and retrieving the subset of domain data from the repository using the database view, the class object, and the mapping information.

Abstract: Techniques for dynamically generating database views and class objects for allowing access to domain data stored in a repository are provided. A computer-implemented method, a system, and/or a machine-readable medium storing instructions executable by one or more processors may include generating a database view and a class object using metadata included in a domain model, and retrieving domain data from a repository using the database view and the class object. For example, a method may include obtaining a domain model from a repository, the domain model including metadata corresponding to a set of domain data stored in the repository, generating a database view of a subset of the set of domain data using the metadata, generating a class object for the subset using the metadata, generating mapping information, and retrieving the subset of domain data from the repository using the database view, the class object, and the mapping information.