Tag: JSON
Data Structures & Queries with Couchbase N1QL (SQL for JSON)
In the Data Structures for NoSQL Applications post, we used simplified JSON data access through native collections, maps, and more. This post demonstrates querying that data using higher-level N1QL queries, the SQL-based language for JSON. Developers can focus on managing...
A JSON Data Modeling Guide
When starting to learn about document databases, it’s nice to have a grip on JSON data modeling best practices. This will help you navigate the space and topics easier having an expanded vocabulary on the subject. Experience with a traditional...
NoSQL Is Dead, Long Live NoSQL
Dynamo accelerated the NoSQL revolution that’s driving the database industry. Recently, Amazon announced PartiQL – A SQL-Compatible Query Language for their flagship NoSQL database Amazon DynamoDB. This has brought the NoSQL “re:evolution” full circle. It’s wonderful to see the collaborative research from UCSD and...
Cost Based Optimization with Couchbase JSON database
Couchbase Query Cost Based Optimization (CBO) was released as a Developer Preview in Couchbase 6.5, and it is now ready for GA with Couchbase v7.0. While CBO is a ubiquitous feature with traditional RDBMS, and that users have come to...
Halloween Problem: Solution in N1QL.
Learning SQL is easy; Implementing SQL, not so much. Halloween has come and gone. But, the tricks of the Halloween problem is here to stay! This has to be solved by databases every day. SQL made the relational database easy,...
Text Analysis within a Full-Text Search Engine
Full-Text Search refers to techniques for searching text content within a document or a collection of documents that hold textual content. A Full-Text search engine examines all the textual content within documents as it tries to match a single search...
Arrays in JSON: Modeling, Querying and Indexing Performance
Array is THE difference between the relational model and the JSON model. — Gerald Sangudi Abstract JSON array gives you flexibility in the type of elements, number of elements, size of the elements, and the depth of the elements. This...
Comparing MongoDB MQL with N1QL features in Couchbase 6.5
This is a short note reviewing the MongoDB MQL language features highlighted in the release blog: MongoDB 4.4: User-Driven Engineering. Ready for You. MongoDB 4.4 release has added a number of features for the MQL language. Couchbase released 6.5 earlier...
FIRST CLASS SQL for FULL-TEXT SEARCH
Over time, the database industry has realized full-text search and SQL are two sides of the same coin. Text search needs further query processing, query processing needs text search to efficiently filter for text patterns. The SQL databases have added...
Analyze This: MongoDB & Couchbase Analytics.
The purpose of computing is insight, not numbers. — Richard Hamming The spiral of running the business, analyzing what to change & what to change to, and then changing the business is an eternal one. Do the right analysis, your...