Good afternoon,
I’m using ABP Framework with .NET 6, and I’m encountering an issue with logs like the following: 2025-08-06 08:40:27.924 +02:00 [ERR] [f00fc8b2-8ba2-e45e-c0d1-3a0c74b35a03] [cturmo] Failed executing DbCommand (1ms) [Parameters=[@__providerName_0='?'], CommandType='"Text"', CommandTimeout='30'] SELECT a."Id", a."Name", a."ProviderKey", a."ProviderName", a."Value" FROM "AbpFeatureValues" AS a WHERE (a."ProviderName" = @__providerName_0) AND ((a."ProviderKey" IS NULL))
This error occurred 196 times just today, and I’d like to resolve it.
I don’t want to increase the command timeout since that would be considered bad practice. What can I do to ensure this query executes properly and avoids timeout errors?
Thank you in advance.
11 Answer(s)
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- The error you are encountering indicates that the query to the "AbpFeatureValues" table is timing out, which usually means the query is taking too long to execute. This is not typically caused by ABP itself, but rather by database performance issues or missing indexes.
To resolve this issue without increasing the command timeout, follow these steps:
- Check for Missing Indexes
- Ensure that the "AbpFeatureValues" table has indexes on the columns used in the WHERE clause, specifically "ProviderName" and "ProviderKey". For PostgreSQL, you can add a composite index as follows:
CREATE INDEX IF NOT EXISTS idx_abpfeaturevalues_providername_providerkey ON "AbpFeatureValues" ("ProviderName", "ProviderKey");- This index will significantly speed up queries filtering by these columns.
Analyze Table Size
- If the table contains a large number of rows, consider archiving or cleaning up old/unnecessary feature values.
Database Maintenance
- Run
VACUUMandANALYZEon the table to optimize query planning and reclaim storage in PostgreSQL:
- Run
VACUUM ANALYZE "AbpFeatureValues";Check for Long-Running Transactions
- Ensure there are no open transactions locking the table, which can cause queries to wait and eventually timeout.
Review Application Usage
- If your application is making excessive or redundant feature value queries, consider caching feature values at the application level to reduce database load.
By ensuring proper indexing and maintaining your database, you can resolve the timeout issue without increasing the command timeout.
Sources:
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Hello, good morning Maliming, I would prefer if you could be the one to respond. If it's necessary to create any indexes in the database to improve performance, we would implement the migration in our project ourselves. Please let me know all the possible solutions to improve performance.
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hi
Can you share full logs.txt? liming.ma@volosoft.com
Thanks.
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Hi Maliming,
I've just sent you the email with the logs.
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hi
Do these errors cause any functional problems?
This doesn't seem to be a coding problem, but rather a database problem. Have you tried testing with a different database?
Can increasing the timeout solve the problem?
Thanks.
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Good morning, let me answer your questions:
Do these errors cause any functional problems?** Yes, they do. They cause a decrease in performance.
This doesn't seem to be a coding problem, but rather a database problem. Have you tried testing with a different database? I haven't tested with a different database, but we've been using this one for almost two years, and we don't want to switch. We'd rather configure it or do whatever is necessary to improve its performance.
Can increasing the timeout solve the problem? It could help, but it wouldn't really solve the issue. We want to avoid increasing the timeout as much as possible.
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hi
What is the size of your PostgreSQL database pool? Can you try increasing it a bit?
Host=...;Max Pool Size=200;https://www.npgsql.org/doc/connection-string-parameters.html#pooling
You can also check the database logs.
Thanks
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Hi,
I checked my connection string and I don't have any Max Pool Size set, so it must be using the default value. I’m going to increase it to 200 and test it next week. I’ll let you know how it goes and if it works or if we need to try something else.
Thanks!
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Thanks. You can also check the database error logs.
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Good morning, I’ve reviewed the database logs and don’t see anything unusual. About increasing the pool to raise the number of requests, do you think that’s the best approach? Wouldn’t there be a better way to optimize some part of my code? Maybe there’s something that can be improved, because if we increase the pool and don’t actually solve the real problem, we might end up lowering performance by having more requests available. Let me know if you think this is a good decision or not.
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hi
The default
postgres max pool sizeis100You can increase it for your actual case. This is no problem.
Thanks.
