I recently started working at Dgraph Labs in Bengaluru as a Software Engineer. One of the first issues that I worked on was related to the Dgraph's datetime datatype. This article covers how I discovered and resolved the issue. The article assumes a basic understanding of Dgraph, but you can learn everything you need in docs.dgraph.io. Bug Discovery While working on Flock, I observed that timestamp comparisons were not working correctly in Dgraph when the data or query had timezone information in it.

One of the cornerstones of Dgraph is that it allows a flexible schema, which can be modified in a live system, without any downtime. This involves changing data types and adding or removing indices with a single ALTER command to match the needs of an application developer. Dgraph supports indexing natively, which means common use cases around full-text search, regular expressions, date matching, geolocation queries, etc. can all be executed within Dgraph, while maintaining transactional guarantees.