* app/vmagent: allow to disabled on-disk queue
Previously, it wasn't possible to build data processing pipeline with a
chain of vmagents. In case when remoteWrite for the last vmagent in the
chain wasn't accessible, it persisted data only when it has enough disk
capacity. If disk queue is full, it started to silently drop ingested
metrics.
New flags allows to disable on-disk persistent and immediatly return an
error if remoteWrite is not accessible anymore. It blocks any writes and
notify client, that data ingestion isn't possible.
Main use case for this feature - use external queue such as kafka for
data persistence.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2110
* adds test, updates readme
* apply review suggestions
* update docs for vmagent
* makes linter happy
---------
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
Tests showed that importing a single line with 70MB size takes 5.3GiB
RSS memory for VictoriaMetrics single-node.
In the scenario when user exports and imports data from one VM to another,
it could possibly lead to OOM exception for destination VM.
Importing a single line with 16MB size taks 1.3GiB RSS memory.
Hence, the limit for `import.maxLineLen` was decreased from 100MB to 10MB
to improve reliability of VictoriaMetrics during imports.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
This case is possible after the following steps:
1. vmagent successfully performed handshake with the -remoteWrite.url and the remote storage supports zstd-compressed data.
2. remote storage became unavailable or slow to ingest data, vmagent compressed the collected data into blocks with zstd and puts these blocks to persistent queue on disk.
3. vmagent restarts and the remote storage is unavailable during the handshake, then vmagent falls back to Snappy compression.
4. vmagent starts sending zstd-compressed data from persistent queue to the remote storage, while falsely advertizing it sends Snappy-compressed data.
5. The remote storage receives zstd-compressed data and fails unpacking it with Snappy.
The solution is the same as 12cd32fd75, just fall back to zstd decompression if Snappy decompression fails.
The buffered connection could have exceeded the underlying connection
deadline during reading or writing to an internal buffer.
With this change, buffered connection struct additionally checks
for a deadline in Read/Write methods.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
evalRollupFuncNoCache() may return time series with identical labels (aka duplicate series)
when performing queries satisfying all the following conditions:
- It must select time series with multiple metric names. For example, {__name__=~"foo|bar"}
- The series selector must be wrapped into rollup function, which drops metric names. For example, rate({__name__=~"foo|bar"})
- The rollup function must be wrapped into aggregate function, which has no streaming optimization.
For example, quantile(0.9, rate({__name__=~"foo|bar"})
In this case VictoriaMetrics shouldn't return `cannot merge series: duplicate series found` error.
Instead, it should fall back to query execution with disabled cache.
Also properly store the merged results. Previously they were incorrectly stored because of a typo
introduced in the commit 41a0fdaf39
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5332
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/5337
`version` label won't show the difference if various flavors of the same
version were deployed. But `short_version` will.
For example, on the sandbox env we test VM builds before new version release.
Without this change, the version update won't be visible on dashboard.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* lib/querytracer: makes package concurrent safe to use
it must fix various issues with concurrent code usage.
Especially, when it's not reasonable to wait for all goroutines to be finished
* wip
---------
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
* app/vmstorage: close vminsert connections gradually before stopping storage
Implements graceful shutdown approach suggested here - https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4922#issuecomment-1768146878
Test results for this can be found here - https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4922#issuecomment-1790640274
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
* app/vmstorage: update graceful shutdown logic
- close connections from vminsert in determenistic order
- update flag description
- lower default timeout to 25 seconds. 25 seconds value was chosen because the lowest default value used in default configuration deployments is 30s(default value in Kubernetes and ansible-playbooks).
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
* docs/cluster: add information about re-routing enhancement during restart
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
* docs/changelog: add entry for new command-line flag
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
* {app/vmstorage,lib/ingestserver}: address review feedback
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
* docs/cluster: add note to update workload scheduler timeout
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
* wip
---------
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
This case is possible after the following steps:
1. vmagent tries to perform handshake with the -remoteWrite.url in order to determine whether
the remote storage supports zstd-compressed data.
2. The remote storage is unavailable during the handshake. In this case vmagent falls back to Snappy compression
for the data sent to the remote storage.
3. vmagent compresses the collected data into blocks with Snappy and puts these blocks to persistent queue on disk.
4. The remote storage becomes available.
5. vmagent restarts, performs the handshake with the remote storage and detects that it supports zstd-compressed data.
6. vmagent starts sending Snappy-compressed data from persistent queue to the remote storage,
while falsely advertizing it sends zstd-compressed data.
7. The remote storage receives Snappy-compressed data and fails unpacking it with zstd.
The solution is to just fall back to Snappy decompression if zstd decompression fails.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5301
Previously the `Host` header was remained unchanged when passing it in requests to backends.
This may improperly work if the backend uses host-based routing.
While at it, allows http/2.0 requests to backends. While VictoriaMetrics components
do not accept http/2.0 requests, other backends can require such requests.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5240
- Re-use identically configured http.Transport across multiple users.
This fixes handling of the limit on the number of connection, which can be established per each backend
via -maxIdleConnsPerBackend command-line flag. This limit stopped working after 323f3720ed
- Add docs about backend TLS setup at https://docs.victoriametrics.com/vmauth.html#backend-tls-setup
- Add ability to disable backend TLS verification for all the users via -backend.tlsInsecureSkipVerify command-line flag.
This flag may be useful when -auth.config contains big number of users, and every user must disable backend TLS verification.
- Add ability to specify TLS Root CA via tls_ca_file option at per-user basis and via -backend.tlsCAFile command-line flag
across all the users.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5240
Previously entries which were accessed only 1 time weren't cached.
It has been appeared that some rarely executed heavy queries may read indexdb block twice
in a row instead of once. There is no need in caching such a block then.
This change should eliminate cache size spikes for indexdb/dataBlocks when such heavy queries are executed.
Expose -blockcache.missesBeforeCaching command-line flag, which can be used for fine-tuning
the number of cache misses needed before storing the block in the caching.
* app/vmalert: update remote-write process
* automatically retry remote-write requests on closed connections. The change should reduce the amount of logs produced in environments with short-living connections or environments without support of keep-alive on network balancers.
* increment `vmalert_remotewrite_errors_total` metric if all retries to send remote-write request failed. Before, this metric was incremented only if remote-write client's buffer is overloaded.
* increment `vmalert_remotewrite_dropped_rows_total` amd `vmalert_remotewrite_dropped_bytes_total` metrics if remote-write client's buffer is overloaded. Before, these metrics were incremented only after unsuccessful HTTP calls.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* Update docs/CHANGELOG.md
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: Hui Wang <haley@victoriametrics.com>
Add `tls_insecure_skip_verify` option on per-user basis which allows to disable TLS verification for all requests to backend on behalf of this user.
See: https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5240
Signed-off-by: Zakhar Bessarab <z.bessarab@victoriametrics.com>
reduce the number of queries for restoring alerts state on start-up.
The change should speed up the restore process and reduce pressure on `remoteRead.url`.
* vmauth: add browser authorization request for http requests without credentials to a route that is not in the `unauthorized_user` section (when `unauthorized_user` is specified).
* add link to issue in CHANGELOG
* Extend vmauth docs
* wip
---------
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
Repeated instant queries with long lookbehind windows, which contain one of the following rollup functions,
are optimized via partial result caching:
- sum_over_time()
- count_over_time()
- avg_over_time()
- increase()
- rate()
The basic idea of optimization is to calculate
rf(m[d] @ t)
as
rf(m[offset] @ t) + rf(m[d] @ (t-offset)) - rf(m[offset] @ (t-d))
where rf(m[d] @ (t-offset)) is cached query result, which was calculated previously
The offset may be in the range of up to 1 hour.
