Multi-Tenant Time-Series Database Partitioning
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Solution Overview
Problem
Existing time-series database systems face inefficiencies in provisioning storage resources on a per-table basis, leading to delays in data processing, underutilization of storage resources, and increased metadata overhead, particularly when handling multiple clients and large datasets.
Innovation Solution
Implementing multi-tenant partitioning in time-series databases, where storage resources are provisioned before table creation and multiple clients can share partitions, using a single partitioning scheme that routes data based on table identifiers and dimensions, allowing for efficient clustering of tables and reduced metadata requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If storage resources are provisioned on a per-table basis, then each table can have dedicated storage resources, but this leads to delays in data processing and underutilization of storage resources
Solution Approach 1:
The patent merges multiple tables into a single partition, allowing storage resources to be shared across multiple tables. This eliminates the delays associated with per-table provisioning and improves data processing speed by utilizing pooled storage resources immediately, while still maintaining data isolation through logical partitioning schemes.
2Reliability
If storage resources are provisioned on a per-table basis, then each table has dedicated resources, but this causes underutilization of storage resources
Solution Approach 1:
The patent creates storage partitions that can serve multiple tables simultaneously, making the storage resources universal rather than dedicated to a single table. This multi-functionality allows the same storage infrastructure to handle workloads from multiple tables, improving overall utilization while maintaining data isolation through partition keys.
3Reliability
If per-table storage provisioning is used, then storage can be dedicated to each table, but this increases metadata overhead
Solution Approach 1:
The patent merges multiple tables into single partitions, which consolidates the metadata management. Instead of maintaining separate metadata for each table's storage resources, the system manages metadata at the partition level, significantly reducing metadata overhead while still enabling dedicated storage access through partition keys and data locality optimization.
4Quantity of substance
If multiple clients share a database system, then resource consolidation is achieved, but this makes resource provisioning and management increasingly complicated
Solution Approach 1:
The patent segments the database into multiple partitions that can be independently managed and assigned to different clients or workloads. This segmentation allows resource consolidation at the partition level while maintaining manageable complexity through standardized partitioning schemes, enabling multi-tenant isolation and independent resource provisioning without complicating overall system management.
Data Source
AI summary
Methods, systems, and computer-readable media for multi-tenant partitioning in a time-series database are disclosed. A partitioning scheme is determined that maps a plurality of data points to a plurality of partitions based at least in part on table identifiers associated with the data points. The partitions are stored using a plurality of storage resources. After the storage resources are provisioned, an additional table identifier is generated. Based at least in part on the partitioning scheme, one or more additional data points comprising the additional table identifier are mapped to a particular partition of the plurality of partitions. The one or more additional data points are stored in the particular partition using the storage resources.