Hotspot
A hotspot is a location, resource, or partition experiencing disproportionately concentrated activity, workload, or change relative to comparable elements.
Latency
A hot partition is a partition that receives disproportionately large data volume or workload compared with other partitions.
- How it is used
- Identifies data-volume imbalance when assessing partitioning strategies and application latency.
- How deep it goes
- Explains causes through key distributions and unequal value sizes, then discusses scheme changes and live-system rebalancing without an implementation procedure.
- Examples
- Uses zip-code ranges in a users table and differently sized images in an object store.
- What you can do after
- Diagnose/debug with it by checking key distribution and value sizes, measuring latency, and considering partition-key or scheme changes.
Microsoft Azure in Action
A hot partition is a logical database partition that receives a disproportionate amount of data or requests and can become a performance bottleneck.
- How it is used
- Frames hotspots as a Cosmos DB partition-key design risk that can turn uneven data or requests into a performance bottleneck.
- How deep it goes
- Defines the condition and develops partition-key remedies, but does not provide a hotspot-monitoring procedure.
- Examples
- Uses product type, region, region–category, and region–date keys, plus an Azure CLI shard configuration.
- What you can do after
- Apply it via Azure CLI by choosing a shard key while checking cardinality, workload balance, and common queries.
Architecture Modernization: Socio-technical alignment of software, strategy, and structure
A hotspot is an area of a software system that is both highly complex and changed frequently.
- How it is used
- Prioritizes modernization discovery by locating complex areas that change frequently.
- How deep it goes
- Defines hotspot detection through complexity and change frequency, but stops short of endorsing tool-only modernization decisions.
- Examples
- Shows CodeScene visualizations, dependency details, defects, complexity trends, and function-level analysis.
- What you can do after
- Diagnose modernization candidates with tool analysis, then validate them through engineer feedback and collaborative assessment.
MongoDB 8.0 in Action, Third Edition
A hotspot is a concentration of sharded data or database activity on a subset of shards that creates uneven load and can reduce performance.
- How it is used
- Diagnoses uneven shard load and guides shard-key selection for better distribution and query performance.
- How deep it goes
- Explains causes, monotonicity risk, analysis, and presplitting, but does not detail hotspot remediation commands.
- Examples
- Uses the routes collection, a compound shard key, analyzeShardKey metrics, monotonicity, and presplitting scenarios.
- What you can do after
- Diagnose hotspot risk by evaluating shard-key distribution, query isolation, monotonicity, and ingestion patterns.
Read how MongoDB 8.0 in Action, Third Edition explains hotspot →
Related concepts
- nodetool toppartitionsaddressed by · nodetool toppartitions is a Cassandra-compatible administration command that samples traffic to identify the most frequently queried partitions.
- dataset splitaddressed by · A dataset split is the division of a dataset into distinct subsets assigned different purposes, such as training, validation, or testing.
- CodeSceneproduced by · CodeScene is a software intelligence tool that analyzes source code and development activity to identify code-health problems, technical debt, and related patterns.
- partitionkind of · A partition is a distinct subdivision of a larger data, storage, or work unit that can be stored, managed, or processed separately.
- performance optimizationaddressed by · Performance optimization is the systematic modification of software or its operating conditions to improve measured execution speed, responsiveness, throughput, or resource efficiency while preserving required behavior.
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