#JSON QUERY SQL SERVER UPDATE#

The authors reveal that the descriptive nature of the JSON schema can be utilized to create a relational schema for the storage of the JSON document. In this article, we empower JSON to use relational databases for analysis and complex queries. It is essential to integrate JSON into databases that use standard SQL features, support ACID transactional models, and has the capability of managing and organizing data efficiently. More importantly, complex searches, partial updates, composite queries, and analyses are cumbersome and time consuming in SQL/JSON compared to standard SQL operations. However, these functions are not standardized yet and vary across vendors along with different limitations and complexities. The relational database management systems (RDBMS) support JSON in binary format with SQL functions (also known as SQL/JSON). This is very challenging and a burden on the developer. However, NoSQL still lacks standard query language and supports eventually consistent BASE transaction model rather than the ACID transaction model. NoSQL document stores evolve with the popularity of JSON, which can support JSON schema-less storage, reduce cost, and facilitate quick development. JSON is a simple, compact and light weighted data exchange format to communicate between web services and client applications. Additionally, the STDM algorithm significantly outperforms Adjacency List concerning time. Our results show that using the STDM algorithm the size of resulting relational table is approximately 70% of the size of the corresponding table generated with Adjacency List. The former is a general technique, which can be applied to any data presented in hierarchical form, while the latter is a representative of the family of XML-to-Relational storage algorithms, which can be used for JSON, too. The reason to choose and compare these two techniques is due to their origin: both are representatives of two different non-native storing techniques. In this paper we compare two different mapping techniques: Adjacency List and the Single-Table Data Mapping (STDM) algorithm, which can be used, among other techniques, to store JSON documents in relational tables. In such a case, the features of relational DBMSs such as transaction processing, can be used. The natural way, how JSON documents can be queried and modified is to store them first in relational environment. Direct access of external JSON data should be supported, too.

#JSON QUERY SQL SERVER UPDATE#

The support of modification of parts of a JSON document using the SQL UPDATE statement is necessary. Handling JSON documents as first-class objects in SQL would provide the potential for greater capability for users and for better performance. From our point of view, the following should be specified in one of the future proposals of SQL/JSON: JSON documents should be first-class objects in SQL (native storage). In this paper we discuss the JSON features specified in the proposal and show to what extent different relational database systems have integrated them.Īt the end of the paper we describe the main drawbacks of the proposal and the ways to solve them. For this reason, the SQL standardization committee published a proposal called SQL/JSON. Therefore, the support of storage and query access for JSON documents in the context of relational DBMSs is necessary. This access can be supported using JSON (Java Script Object Notation). Recently, a new era of application development is emerging, which is based upon the ease of access to modern compute resources, such as mobile devices.

Json query sql server