In a left-deep query plan, a join takes two inputs: one from a single base relation (i.e. table) providing immediate input (referred to as the "inner relation"); and another one potentially derived as an intermediate result from a different set of relations (the "outer relation").
Big customers of ITA Software like Rearden Commerce, an electronic commerce software company that helps book services and buy goods for both consumers and corporations, said the deal would allow for broader and deeper search queries, which would help its 7,000 corporate clients.
That context awareness also means you can dive deeper into queries, chaining questions without repeating information you've previously shared, so you can ask about Oscar-winning movies from a previous year, and then follow up with questions like "who starred in that one".
IBM's supercomputer Deep Blue ended the human dominance of chess when it beat Grandmaster Gary Kasparov back in 1997, and the company's Watson, with its deep dive queries and improved understanding of language and idioms, defeated the top Jeopardy! players too.
An insightful parallel to what is now happening to the knowledge worker is what has already happened to "knowledge games". IBM's supercomputer Deep Blue ended the human dominance of chess when it beat Grandmaster Gary Kasparov back in 1997, and the company's Watson, with its deep dive queries and improved understanding of language and idioms, defeated the top Jeopardy! players too.
The discussion circled back repeatedly to a central question about Kline's project: "What is the medium?" This is both a deep philosophical query and, for an archivist registering works or a lawyer defining them in contracts, an urgently practical one.
Finally, if single substitution matches are not found, 'galign' queries deeper elements of the pointer arrays and repeats the process for other genomic sites containing the A or B fragments.
But today's rollout brings additional recipes which let you query deeper into Twitter's stream, instead of only focusing on your own actions.
In our newly updated paper "Learning to Optimize Join Queries With Deep Reinforcement Learning", we show that the classical Selinger-style join enumeration has profound connections with Markovian sequential decision processes.
Using only a moderate amount of training data (less than 100 training queries), our deep RL-based optimizer can achieve plan costs within 2x of the optimal solution on all cost models that we considered, and it improves on the next best heuristic by up to 3x — all at a planning latency that is up to 10x faster than dynamic programs and 10,000x faster than exhaustive enumeration.
