How many milliseconds does it take for redis to read data?

The time-consuming standard for Redis reading data depends on the specific application scenario. The general reference range is within 1 millisecond (extremely sensitive scenarios), within 10 milliseconds (interactive applications), and within 100 milliseconds (non-interactive). application). Influencing factors include data structure, data volume, network latency, and server load. Optimization strategies include: appropriate caching strategy, using efficient data structures, reducing data range, using batch operations, optimizing network configuration and upgrading Redis version.

Redis’s time-consuming reading of data meets the standard

Whether the time-consuming of Redis’s reading of data meets the standard depends on the specific conditions Application scenarios and business needs. Generally speaking, the following time-consuming can be used as a reference range to meet the standard:

Within 1 millisecond

• Suitable for scenarios that are extremely sensitive to delays, such as real-time Transactions, advertising, etc.

Within 10 milliseconds

• Suitable for most interactive applications, such as web services, mobile applications, etc.

Within 100 milliseconds

• Suitable for non-interactive applications, such as data analysis, batch processing, etc.

Influencing factors

Factors that affect Redis’s time-consuming reading of data include:

• Data structure:Different data structures (such as strings, lists, hashes) have different access speeds.
• Data size: The larger the amount of data, the longer it takes to read.
• Network delay: The network delay between the client and the Redis server will affect the reading speed.
• Server load: High server load will cause increased read time.

Optimization strategy

In order to optimize the time it takes for Redis to read data, the following strategies can be adopted:

• Use Appropriate caching strategy: Avoid frequent database queries and cache data in Redis as much as possible.
• Choose an efficient data structure: Select the Redis data structure with the fastest reading speed based on the access mode.
• Narrow the data range: Query data using specific keys or ranges instead of querying all data.
• Use batch operations: Use Redis batch commands (such as mget, pipeline) to read multiple data items at one time.
• Optimize network configuration: Reduce the network delay between the client and the Redis server.
• Upgrade Redis version: Update to the latest version of Redis, which may include performance optimizations.

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