Troubleshoot queries
Troubleshoot SQL and InfluxQL queries that return unexpected results.
- Why doesn’t my query return data?
- Optimize slow or expensive queries
- Analyze your queries
- Request help to troubleshoot queries
Why doesn’t my query return data?
If a query doesn’t return any data, it might be due to the following:
-
Your data falls outside the time range (or other conditions) in the query–for example, the InfluxQL
SHOW TAG VALUES
command uses a default time range of 1 day. -
The query (InfluxDB server) timed out.
-
The query client timed out.
-
The query return type is not supported by the client library. For example, array or list types may not be supported. In this case, use
array_to_string()
to convert the array value to a string–for example:SELECT array_to_string(array_agg([1, 2, 3]), ', ')
If a query times out or returns an error, it might be due to the following:
- a bad request
- a server or network problem
- it queries too much data
Understand Arrow Flight responses and error messages for queries.
Optimize slow or expensive queries
If a query is slow or uses too many compute resources, limit the amount of data that it queries.
See how to optimize queries.
Analyze your queries
Use the following tools to retrieve system query information, analyze query execution, and find performance bottlenecks:
Request help to troubleshoot queries
Some bottlenecks may result from suboptimal query execution plans and are outside your control–for example:
- Sorting (
ORDER BY
) data that is already sorted - Retrieving numerous small Parquet files from the object store, instead of fewer, larger files
- Querying many overlapped Parquet files
- Performing a high number of table scans
If you have followed steps to optimize and troubleshoot a query, and it isn’t meeting your performance requirements, see how to report query performance issues.
Query trace logging
Currently, customers cannot enable trace logging for InfluxDB clusters. InfluxData engineers can use query plans and trace logging to help pinpoint performance bottlenecks in a query.
See how to report query performance issues.
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Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for InfluxDB and this documentation. To find support, use the following resources:
Customers with an annual or support contract can contact InfluxData Support.