I’m encountering timeout errors while executing queries in my OpenSearch environment, and I could use some guidance on troubleshooting and resolving this issue.
I’m utilizing the built-in alerting functionality in OpenSearch to monitor specific conditions, such as message in data Level=“error”
query is below
{
“timeout”: “60m”,
“query”: {
“bool”: {
“must”: [
{
“range”: {
“fields.Context.TimeStamp”: {
“from”: “now-60m”,
“to”: “now”,
“include_lower”: true,
“include_upper”: true
}
}
},
{
“term”: {
“level.keyword”: “Error”
}
}
]
}
}
}
Specific Questions:
What could be causing these timeout errors in my OpenSearch queries?
Are there any optimizations I can apply to my queries or cluster configuration to improve performance and prevent timeouts?
How can I effectively monitor and diagnose performance issues in my OpenSearch cluster?
Are there any best practices for handling frequent data inserts and querying in OpenSearch?
I’ve already checked the cluster’s resource utilization and confirmed that there are no significant spikes in CPU or memory usage during query execution.
I’ve reviewed the OpenSearch documentation and forums but haven’t found a solution that addresses my specific issue.
Any insights or suggestions would be greatly appreciated. Thank you in advance for your assistance!
I am using Opensearch dashboard inside Docker.
i created a index for the above data. i need to set up alert that everytime error data is inserted, alert is given. i posted that alert code earlier.
but what is happening is i am inserting data at random, so only once alert shows up, but after that no alert is shown.
wanted to figure out what went wrong? is there some setting in opensearch dashboard to give me alerts at every data entry if level is error
also it seems like if i insert 20 values automatically alert is not show but if i do atleast 100 then only alert shows up