* add hook to allow head compaction to create multiple output blocks
Signed-off-by: Ben Ye <benye@amazon.com>
* change Compact interface; remove BlockPopulator changes
Signed-off-by: Ben Ye <benye@amazon.com>
* rebase main
Signed-off-by: Ben Ye <benye@amazon.com>
* fix lint
Signed-off-by: Ben Ye <benye@amazon.com>
* fix unit test
Signed-off-by: Ben Ye <benye@amazon.com>
* address feedbacks; add unit test
Signed-off-by: Ben Ye <benye@amazon.com>
* Apply suggestions from code review
Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com>
* Update tsdb/compact_test.go
Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com>
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Signed-off-by: Ben Ye <benye@amazon.com>
Signed-off-by: Ganesh Vernekar <ganeshvern@gmail.com>
Co-authored-by: Ganesh Vernekar <ganeshvern@gmail.com>
This is about native histograms (not yet supported) and staleness
markers (for which OpenMetrics support isn't even planned).
Signed-off-by: beorn7 <beorn@grafana.com>
Currently, running promtool tsdb analyze with the --extended flag
will cause an 'index out of range' error if running it
against a block that does not have any native histogram chunks.
This change ensures that promtool won't try to display data that doesn't exist.
Signed-off-by: Will Hegedus <whegedus@linode.com>
use it in loadDataAsQueryable to make sure the RO Head doesn't truncate or cut new chunks in data/chunks_head/.
add a -sandbox-dir-root flag to "promtool tsdb dump/dump-openmetrics" to control the root of that sandbox dirrectory.
Signed-off-by: machine424 <ayoubmrini424@gmail.com>
Using testify outside of unit tests results in panics rather than a
useful error for the user.
Fixes#13703
Signed-off-by: David Leadbeater <dgl@dgl.cx>
This closes the loop, as the output can be fed into "tsdb create-blocks-from openmetrics"
Native histograms are not supported.
Signed-off-by: machine424 <ayoubmrini424@gmail.com>
Optimize histogram iterators
Histogram iterators allocate new objects in the AtHistogram and
AtFloatHistogram methods, which makes calculating rates over long
ranges expensive.
In #13215 we allowed an existing object to be reused
when converting an integer histogram to a float histogram. This commit follows
the same idea and allows injecting an existing object in the AtHistogram and
AtFloatHistogram methods. When the injected value is nil, iterators allocate
new histograms, otherwise they populate and return the injected object.
The commit also adds a CopyTo method to Histogram and FloatHistogram which
is used in the BufferedIterator to overwrite items in the ring instead of making
new copies.
Note that a specialized HPoint pool is needed for all of this to work
(`matrixSelectorHPool`).
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Signed-off-by: Filip Petkovski <filip.petkovsky@gmail.com>
Co-authored-by: George Krajcsovits <krajorama@users.noreply.github.com>
SD Managers take over responsibility for SD metrics registration
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Signed-off-by: Paulin Todev <paulin.todev@gmail.com>
Signed-off-by: Björn Rabenstein <github@rabenste.in>
Co-authored-by: Björn Rabenstein <github@rabenste.in>
Conditions are ANDed inside the same matcher but matchers are ORed
Including unit tests for "promtool tsdb dump".
Refactor some matchers scraping utils.
Signed-off-by: machine424 <ayoubmrini424@gmail.com>
Add `query analyze` command to promtool
This command analyzes the buckets of classic and native histograms,
based on data queried from the Prometheus query API, i.e. it
doesn't require direct access to the TSDB files.
Signed-off-by: Jeanette Tan <jeanette.tan@grafana.com>
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Signed-off-by: Jeanette Tan <jeanette.tan@grafana.com>
The ChunkReader interface's Chunk() has been changed to ChunkOrIterable().
This is a precursor to OOO native histogram support - with OOO native histograms, the chunks.Meta passed to Chunk() can result in multiple chunks being returned rather than just a single chunk (e.g. if oooMergedChunk has a counter reset in the middle).
To support this, ChunkOrIterable() requires either a single chunk or an iterable to be returned. If an iterable is returned, the caller has the responsibility of converting the samples from the iterable into possibly multiple chunks. The OOOHeadChunkReader now returns an iterable rather than a chunk to prepare for the native histograms case. Also as a beneficial side effect, oooMergedChunk and boundedChunk has been simplified as they only need to implement the Iterable interface now, not the full Chunk interface.
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Signed-off-by: Fiona Liao <fiona.y.liao@gmail.com>
Co-authored-by: George Krajcsovits <krajorama@users.noreply.github.com>
On a 32 bit architecture the size of int is 32 bits. Thus converting from
int64, uint64 can overflow it and flip the sign.
Try for yourself in playground:
package main
import "fmt"
func main() {
x := int64(0x1F0000001)
y := int64(1)
z := int32(x - y) // numerically this is 0x1F0000000
fmt.Printf("%v\n", z)
}
Prints -268435456 as if x was smaller.
Followup to #12650
Signed-off-by: György Krajcsovits <gyorgy.krajcsovits@grafana.com>
Improve promtool tsdb analyze
- Make it more suitable for variable size float chunks.
- Add support for histogram chunks.
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Signed-off-by: Ziqi Zhao <zhaoziqi9146@gmail.com>
* support specifying series matchers to analyze tsdb
Signed-off-by: Ben Ye <benye@amazon.com>
* fix cli docs
Signed-off-by: Ben Ye <benye@amazon.com>
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Signed-off-by: Ben Ye <benye@amazon.com>
Header name is `Retry-Attempt`, only set when >0.
Signed-off-by: Marc Tuduri <marctc@protonmail.com>
Signed-off-by: Paschalis Tsilias <paschalis.tsilias@grafana.com>
Return annotations (warnings and infos) from PromQL queries
This generalizes the warnings we have already used before (but only for problems with remote read) as "annotations".
Annotations can be warnings or infos (the latter could be false positives). We do not treat them different in the API for now and return them all as "warnings". It would be easy to distinguish them and return infos separately, should that appear useful in the future.
The new annotations are then used to create a lot of warnings or infos during PromQL evaluations. Partially these are things we have wanted for a long time (e.g. inform the user that they have applied `rate` to a metric that doesn't look like a counter), but the new native histograms have created even more needs for those annotations (e.g. if a query tries to aggregate float numbers with histograms).
The annotations added here are not yet complete. A prominent example would be a warning about a range too short for a rate calculation. But such a warnings is more tricky to create with good fidelity and we will tackle it later.
Another TODO is to take annotations into account when evaluating recording rules.
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Signed-off-by: Jeanette Tan <jeanette.tan@grafana.com>