VictoriaMetrics Data ingestion errors

Ingestion errors can occur due to incorrect data formats, network issues, or misconfigured ingestion settings.

Understanding VictoriaMetrics

VictoriaMetrics is a high-performance, cost-effective, and scalable time-series database. It is designed to handle large-scale data ingestion and querying, making it ideal for monitoring systems and storing metrics from various sources. Its purpose is to provide a robust platform for time-series data storage and analysis.

Identifying Data Ingestion Errors

Data ingestion errors in VictoriaMetrics can manifest as failed data writes, missing data points, or error messages in logs. These symptoms indicate that data is not being correctly ingested into the database, which can impact the accuracy and reliability of your monitoring setup.

Common Error Messages

Some common error messages you might encounter include:

invalid data format
network timeout
authentication failed

Exploring the Root Causes

Data ingestion errors can arise from several issues:

Incorrect Data Formats: Data not conforming to the expected format can lead to ingestion failures.
Network Issues: Unstable network connections can cause timeouts or data loss during transmission.
Misconfigured Ingestion Settings: Incorrect settings in VictoriaMetrics can prevent successful data ingestion.

Impact of These Issues

These issues can lead to incomplete data, inaccurate metrics, and potential gaps in monitoring, which can affect decision-making and system reliability.

Steps to Resolve Data Ingestion Errors

To address data ingestion errors, follow these steps:

1. Verify Data Formats

Ensure that the data being sent to VictoriaMetrics adheres to the expected format. Refer to the VictoriaMetrics documentation for the correct data format specifications.

2. Check Network Stability

Ensure that the network connection between your data source and VictoriaMetrics is stable. Use tools like ping or traceroute to diagnose network issues. Consider setting up a more reliable network infrastructure if persistent issues are found.

3. Review Ingestion Settings

Examine the ingestion settings in VictoriaMetrics. Check for any misconfigurations in your vmagent or vminsert configurations. Refer to the vmagent documentation for guidance on configuring ingestion settings.

Conclusion

By understanding the potential causes of data ingestion errors and following the outlined steps, you can effectively troubleshoot and resolve these issues in VictoriaMetrics. Ensuring proper data formats, stable network connections, and correct configuration settings will help maintain the integrity and reliability of your time-series data.

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MORE ISSUES

VictoriaMetrics Data ingestion stopped

Ingestion may stop due to network issues, resource exhaustion, or misconfigured ingestion settings.

VictoriaMetrics Query timeout

Queries may timeout due to complexity, large datasets, or insufficient resources.

VictoriaMetrics Service not reachable

Service may not be reachable due to network issues, firewall settings, or service crashes.

VictoriaMetrics Data ingestion timeout

Ingestion timeouts can occur due to network issues, high data volume, or insufficient resources.

VictoriaMetrics Node not responding

Nodes may not respond due to network issues, resource exhaustion, or software crashes.

VictoriaMetrics High read latency

High read latency can result from complex queries, large datasets, or insufficient resources.

VictoriaMetrics Data not retained

Data may not be retained due to incorrect retention settings or misconfigured policies.

VictoriaMetrics Service crash

Service crashes can occur due to resource exhaustion, configuration errors, or software bugs.

VictoriaMetrics Data ingestion backlog

Backlogs can occur due to high data volume, network issues, or insufficient ingestion resources.

VictoriaMetrics Node not joining cluster

Nodes may not join the cluster due to network issues or misconfigured cluster settings.

VictoriaMetrics High write latency

High write latency can result from network issues, insufficient resources, or high data volume.

VictoriaMetrics Data retention misconfigured

Retention settings may be misconfigured, leading to incorrect data retention periods.

VictoriaMetrics Cluster node failure

Node failures can occur due to hardware issues, resource exhaustion, or software crashes.

VictoriaMetrics Data ingestion rejected

Ingestion rejections can occur due to incorrect data formats, network issues, or exceeded rate limits.

VictoriaMetrics Query execution error

Query execution errors can occur due to syntax errors, data corruption, or misconfigured settings.

VictoriaMetrics High network usage

High network usage can result from large data transfers, inefficient queries, or insufficient bandwidth.

VictoriaMetrics Data ingestion latency

Ingestion latency can occur due to high data volume, network issues, or insufficient resources.

VictoriaMetrics Service not starting

Service startup issues can occur due to configuration errors, missing dependencies, or insufficient resources.

VictoriaMetrics Query results inconsistent

Inconsistent query results can occur due to data corruption, query syntax errors, or misconfigured settings.

VictoriaMetrics Metric cardinality explosion

Cardinality explosion can occur due to high label variability or excessive unique metrics.

VictoriaMetrics High swap usage

High swap usage can result from insufficient memory allocation or memory leaks.

VictoriaMetrics Node out of sync

Nodes can become out of sync due to network issues or misconfigured cluster settings.

VictoriaMetrics Data retention not enforced

Retention policies may not be enforced due to misconfiguration or incorrect settings.

VictoriaMetrics Query cache not working

Query cache issues can occur due to misconfiguration or insufficient cache resources.

VictoriaMetrics Data ingestion throttling

Throttling can occur due to high ingestion rates exceeding configured limits.

VictoriaMetrics Configuration file not found

The configuration file may be missing or incorrectly specified in the startup command.

VictoriaMetrics TLS handshake failure

TLS handshake failures can occur due to incorrect certificate configurations or expired certificates.

VictoriaMetrics High latency

High latency can result from network issues, insufficient resources, or complex queries.

VictoriaMetrics Service unavailability

Service unavailability can result from resource exhaustion, network issues, or software crashes.

VictoriaMetrics Data ingestion errors

Ingestion errors can occur due to incorrect data formats, network issues, or misconfigured ingestion settings.

VictoriaMetrics Cluster node communication failure

Communication failures between cluster nodes can occur due to network issues or misconfiguration.

VictoriaMetrics Incorrect query results

Incorrect query results can occur due to query syntax errors, data corruption, or misconfigured settings.

VictoriaMetrics Metrics not updating

Metrics may not update due to ingestion issues, network problems, or misconfigured data sources.

VictoriaMetrics Data loss

Data loss can occur due to improper shutdowns, disk failures, or configuration errors.

VictoriaMetrics High disk I/O

High disk I/O can result from large data volumes, inefficient queries, or insufficient disk resources.

VictoriaMetrics Data retention issues

Data retention issues can arise from incorrect retention settings or misconfigured policies.

VictoriaMetrics Authentication failures

Authentication failures can occur due to incorrect credentials or misconfigured authentication settings.

VictoriaMetrics Ingestion rate limits exceeded

Ingestion rate limits can be exceeded due to high data volume or misconfigured limits.

VictoriaMetrics Retention policy not applied

Retention policies may not be applied due to misconfiguration or incorrect settings.

VictoriaMetrics Configuration errors

Incorrect configuration settings can lead to various operational issues.

VictoriaMetrics Data corruption

Data corruption can occur due to disk failures, improper shutdowns, or software bugs.

VictoriaMetrics Data duplication in VictoriaMetrics

Misconfigured ingestion sources or duplicate data streams.

VictoriaMetrics Network timeouts

Network timeouts can occur due to network instability, high latency, or insufficient bandwidth.

VictoriaMetrics High CPU usage

High CPU usage can result from complex queries, high ingestion rates, or insufficient CPU allocation.

VictoriaMetrics Data not visible in queries

Data may not appear due to incorrect query syntax, retention settings, or ingestion delays.

VictoriaMetrics Node crash or restart

Crashes can occur due to resource exhaustion, configuration errors, or hardware failures.

VictoriaMetrics Data ingestion lag

Ingestion lag can occur due to high data volume, network issues, or insufficient system resources.

VictoriaMetrics Disk space exhaustion

VictoriaMetrics may run out of disk space due to high data retention or insufficient disk allocation.

VictoriaMetrics Slow query performance

Queries may be slow due to complex query patterns, insufficient resources, or large dataset sizes.

VictoriaMetrics High memory usage

VictoriaMetrics may consume high memory due to large time series data ingestion or suboptimal configuration.

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