What the data for this category looks like
This use case covers financial industry communication equipment yield rate and market daily report broadcasting. Relevant data comes from wireless access network northbound collection interfaces, edge computing node local logs, and operation and maintenance management systems. Real-time performance data updates once every 10 seconds. Daily report data generates a summary document for the previous day before 0:00 each day. Single raw data entries include device_sn (device serial number, string type), collect_time (ISO 8601 format timestamp), port_id (port number, integer), link_load (link load level, float), signal_gain (signal gain value, unit dB), energy_usage (energy consumption per unit time, unit kWh). Daily report documents include summary fields such as daily average device load, peak load, and cumulative energy consumption.
What constraints these characteristics impose on the database and operations link
High-frequency real-time data writing requires the database to have stable high throughput capabilities, avoiding IO overhead from single-record writes. Batch summarization and scheduled generation of daily report data require support for aggregation queries by device dimension and scheduled task scheduling. The combination of device_sn and collect_time is a high-frequency query condition. A composite index must be created to speed up query efficiency. Communication device collection links may experience data packet loss. Support for abnormal data filtering and completion logic is required. As the number of connected communication devices grows, data volume will rise rapidly. Support for data sharding storage by time or device dimension is required to avoid excessive storage pressure on a single node.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
WRITE_BATCH_SIZE | 200-500 records/batch | The real-time data update frequency is once every 10 seconds. This batch size balances write throughput and memory usage, avoiding IO overhead from single-record writes |
AGGREGATE_SCHEDULE_CRON | 0 0 0 * * * | Daily report data needs to generate the previous day's summary before 0:00 each day. This Cron expression triggers the aggregation task at midnight daily |
INDEX_COMPOSITE_FIELDS | ["device_sn", "collect_time"] | High-frequency queries filter by device serial number and time range. A composite index can significantly improve query response speed |
DATA_CLEANUP_RETENTION_DAYS | 90 days | For operation and maintenance scenarios, 90 days of original collection data must be retained for troubleshooting. Data beyond this period can be archived to cold storage |
MAX_CONCURRENT_WRITERS | 8-12 | The number of communication device collection nodes is usually large. This concurrency level avoids exhausting database connections while maximizing write efficiency |
RETRY_TIMES_ON_WRITE_FAILURE | 3 times | Collection links may experience temporary network fluctuations. 3 retries can cover most temporary exceptions and reduce the risk of data loss |
The parameter values provided on this page are all common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- The symptom is continuous surge in database disk usage, with a large number of scattered read/write requests generated in a short time. The cause is that the
WRITE_BATCH_SIZEparameter is not configured, and single-record write mode is used, resulting in disk IO overload. - The symptom is a configuration conflict error when deploying a vector database, prompting an invalid database type parameter. The cause is mixing configuration templates from different databases, mixing parameters for pgvector and OceanBase into the Milvus deployment file.
- The symptom is that after a MongoDB replica set primary node fails over, the data collection task disconnects and cannot automatically recover. The cause is that the replica set automatic reconnection parameter is not configured, and the reconnection logic after primary node switchover is not enabled.
How to confirm the configuration is correct
- View the database monitoring panel to confirm that the write request batch size matches the configured value of
WRITE_BATCH_SIZE, with no abnormal single-record write requests. - Check the scheduled task logs to confirm that the daily report generation task triggered at a fixed time each day completes normally, with no execution failure records.
- Execute a combined query by device serial number and time range to confirm that the query response time meets the expected requirements for operation and maintenance scenarios.
- Simulate a database primary node switchover or connection disconnection to confirm that the collection task can automatically trigger reconnection and resume data writing.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.