WebScalable database design with PostgreSQL. Knowledge of indexes, full text search, json/jsonb, trigrams, function optimization, triggers, MVCC/isolation, and partitioning. Extensive query... WebCaching: Redis, also made use of cache header and ETag for api performance improvement Search Engine: ElasticSearch (used in Logging, Querying), Queuing: RabbitMQ (used in serving queues of push notifications and token invalidation) Containerization: Docker, Docker Compose VCS: GIT, GitFlow workflow
Anas Sayeed - Senior Database Engineer/DBA - Proton - LinkedIn
Web10. mar 2024 · In order to do a vector search, our input text needs to be converted to an embedding as well. The second parameter to this function “k” is the number of objects we want to return that is closest to our input. We want to find the closest vectors to our input vector so we chain the .with_near_vector () function. WebFT.SEARCH complexity is O(n) for single word queries. n is the number of the results in the result set. Finding all the documents that have a specific term is O(1), however, a scan on … hmtk itenas
Query Caching with Redis Redis
WebResponsible for the troubleshooting, maintenance and installation of software in instruments CRIRES, NACO and MACAO. • Programming in C, C++ and Tcl/Tk. • Designing, deploying and debugging programs on a highly distributed system running in Linux, HP-UX and vxWorks. • Adding new functions: graphical interface, configuration parameters ... WebFull text search engines use algorithms to index the content of documents or data sources, and allow users to query the index using natural language queries or Boolean operators to … WebBuilt robust Extract, Transform, Load (ETL) process in Java Spring boot Microservices and Django with Kafka, Redis and Elastic search and did the monitoring with ELK stack. hmt janata millennium