This error may be wrapped in another error, and should normally be tested using
`errors.Is(err, net.ErrClosed)`.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
The "broken pipe" error is emitted when the connection has been interrupted abruptly.
It could happen due to unexpected network glitch or because connection was
interrupted by remote client. In both cases, remote client will notice
connection breach and handle it on its own. No need in logging this error
on both: server and client side.
This change should reduce the amount of log noise on vmstorage side. In the same time,
it is not expected to lose any information, since important logs should be still
emitted by the vmselect.
To conduct an experiment for testing this change see the following instructions:
1. Setup vmcluster with at least 2 storage nodes, 1 vminsert and 1 vmselect
2. Run vmselect with complexity limit checked on the client side: `-search.maxSamplesPerQuery=1`
3. Ingest some data and query it back: `count({__name__!=""})`
4. Observe the logs on vmselect and vmstorage side
Before the change, vmselect will log message about complexity limits exceeded. When this happens,
vmselect closes network connections to vmstorage nodes signalizing that it doesn't expect any data back.
Both vmstorage processes will try to push data to the connection and will fail with "broken pipe" error,
means that vmselect closed the connection.
After the change, vmstorages should remain silent. And vmselect will continue emittin the error message
about complexity limits exceeded.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
vmselect passes query timeout to vmstorage in seconds.
The commit 20e9598254 treated it as timeout in nanoseconds.
Fix this in order to prevent from the following errors under vmstorage load:
cannot process vmselect request: cannot execute "search_v7": couldn't start executing the request in 0.000 seconds,
since -search.maxConcurrentRequests=... concurrent requests are already executed.
Previously the -maxConcurrentInserts was limiting the number of established client connections,
which write data to VictoriaMetrics. Some of these connections could be idle.
Such connections do not consume big amounts of CPU and RAM, so there is a little sense in limiting
the number of such connections. So now the -maxConcurrentInserts command-line option
limits the number of concurrently executed insert requests, not including idle connections.
It is recommended removing -maxConcurrentInserts command-line option, since the default value
for this option should work good for most cases.
This should prevent from out of memory errors when big number of vmselect
nodes send many concurrent requests to vmstorage
The limit can be controlled at vmstorage via the following command-line flags:
- search.maxConcurrentRequests
- search.maxQueueDuration
See https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#resource-usage-limits
* {app/vmstorage,app/vmselect}: add API to get list of existing tenants
* {app/vmstorage,app/vmselect}: add API to get list of existing tenants
* app/vmselect: fix error message
* {app/vmstorage,app/vmselect}: fix error messages
* app/vmselect: change log level for error handling
* wip
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
Previously SearchMetricNames was returning unmarshaled metric names.
This wasn't great for vmstorage, which should spend additional CPU time
for marshaling the metric names before sending them to vmselect.
While at it, remove possible duplicate metric names, which could occur when
multiple samples for new time series are ingested via concurrent requests.
Also sort the metric names before returning them to the client.
This simplifies debugging of the returned metric names across repeated requests to /api/v1/series
This opens doors for implementing vmselect api server at vmselect level,
so top-level vmselect could query lower-level vmselect nodes in the same way
as it queries vmstorage nodes.
This will create the ability to create highly available querying architecture
when multiple independent VictoriaMetrics clusters with the same data
are located in distinct availability zones. In this case we can use top-level
vmselect instead of Promxy for simultaneous querying of all the clusters
in all the AZs.