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What is search space in database?
A search space is the set or domain through which an algorithm searches. In computer science, the space may be a well-defined and finite data structure. Or, as in decision theory, it may be a vast and possibly infinite set whose elements need to be individually generated during the search.
What do you mean by query optimization?
Query optimization is the overall process of choosing the most efficient means of executing a SQL statement. SQL is a nonprocedural language, so the optimizer is free to merge, reorganize, and process in any order. The database optimizes each SQL statement based on statistics collected about the accessed data.
What are the two techniques of implementing query optimization?
There are two methods of query optimization.
- Cost based Optimization (Physical) This is based on the cost of the query. The query can use different paths based on indexes, constraints, sorting methods etc.
- Heuristic Optimization (Logical) This method is also known as rule based optimization.
What is search space of a problem?
The space of all feasible solutions (the set of solutions among which the desired solution resides) is called search space (also state space). Each point in the search space represents one possible solution. Each possible solution can be “marked” by its value (or fitness) for the problem.
What is cost based query optimization?
Cost-based query optimization compares different strategies based on relative costs (amount of time that the query needs to run) and selects and executes one that minimizes the cost. The cost of a strategy is just an estimate based on how many estimated CPU and I/O resources that the query will use.
How to improve the relevance of search queries?
The challenge is effectively to provide the best relevance ranking for a set of selected queries from the MS MARCO dataset. The challenge is open to the public and any researcher or practitioner can participate by submitting their own attempts to come up with the best possible relevance ranking for a set of queries.
Can we use data from user clicks to improve search relevance?
Can we use data from user clicks or explicit feedback (e.g., a thumbs up or down on a result) to drive tuning query parameters to improve search relevance? We can, so let’s dive in!
Which is the best query type for full text search?
For full-text search there’s a relatively long list of possible query types to use, ranging from the simplest match query up to the powerful intervals query . Independent of the query type you choose, you’ll also be faced with understanding and tweaking a list of parameters.