Probabilistic Data Structures for Reducing Database Node Requests
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Solution Overview
Problem
Database systems experience inefficiencies due to excessive requests between database nodes for records that are often not present in other nodes' in-memory caches, leading to resource consumption and slowed operations.
Innovation Solution
Implementing probabilistic data structures that store information about the existence of database records in in-memory caches, allowing nodes to determine whether to request records from other nodes based on these structures, reducing unnecessary requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If database nodes send requests to other nodes for records, then the system can access records stored in other nodes' in-memory caches, but the number of unnecessary requests increases and system efficiency decreases
Solution Approach 1:
The patent applies preliminary action by having database nodes proactively send notifications to other nodes when records are written to their in-memory caches. This allows receiving nodes to update their local probabilistic data structures in advance, so they can later determine whether to send requests without actually needing to request the record. This resolves the contradiction by maintaining record accessibility while eliminating unnecessary requests that reduce system efficiency.
Solution Approach 2:
The patent introduces probabilistic data structures as an intermediary mechanism between database nodes. Instead of directly requesting records from other nodes, nodes first query their local probabilistic data structures to determine if a record might exist elsewhere. This intermediary layer filters out unnecessary requests before they reach the network, maintaining reliability of record access while significantly improving system efficiency by reducing redundant communication.
2Loss of information
If database nodes request records from other nodes, then complete data can be retrieved, but resource consumption increases due to excessive requests
Solution Approach 1:
The patent applies partial action by implementing a probabilistic filtering mechanism that partially prevents requests before they are sent. Nodes query their local probabilistic data structures to get a probability estimate of record existence, and only send requests when the probability indicates the record is likely present. This ensures data completeness is maintained when needed while reducing resource consumption by avoiding unnecessary requests for records that don't exist in other nodes.
3Productivity
If probabilistic data structures are implemented, then unnecessary requests are reduced, but the complexity of the database system increases
Solution Approach 1:
The patent applies copying by creating simplified probabilistic data structures (copies of metadata) at each database node. Instead of implementing complex distributed query mechanisms, each node maintains a lightweight local copy containing probability information about record existence in other nodes. This copying approach achieves request reduction benefits while keeping individual node complexity low, as the probabilistic structures are simple to implement and query compared to full distributed coordination systems.
Data Source
AI summary
Techniques are disclosed relating to providing and using probabilistic data structures to at least reduce requests between database nodes. In various embodiments, a first database node processes a database transaction that involves writing a set of database records to an in-memory cache of the first database node. As part of processing the database transaction, the first database node may insert, in a set of probabilistic data structures, a set of database keys that correspond to the set of database records. The first database node may send, to a second database node, the set of probabilistic data structures to enable the second database node to determine whether to request, from the first database node, a database record associated with a database key.