[processor/servicegraph]speculate virtual node before edge get expired.#7
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…pen-telemetry#16258) Signed-off-by: Bogdan Drutu <bogdandrutu@gmail.com> Signed-off-by: Bogdan Drutu <bogdandrutu@gmail.com>
…level (open-telemetry#14922) feat: add fielddata memory size metrics on index level
Signed-off-by: Bogdan Drutu <bogdandrutu@gmail.com> Signed-off-by: Bogdan Drutu <bogdandrutu@gmail.com>
* Rename ottllogs to ottllog * add changelog entry * fix lint
…ion caused panic during shutdown. (open-telemetry#16213)
Moving dependency to version in main to move open-telemetry/opentelemetry-collector#6511 in core forward.
…n-telemetry#16286) * check hostname and port before converting polled logs
…ry#16253) Adding @jamesmoessis as code owner of Docker Stats Receiver
This test fails periodially with a non-zero exit code returned from the setup script. The likely cause is that the wait strategy was not robust enough, in that the rabbitmqadmin command was not ready before associated commands were run. This fix incorporates the setup script into a custom wait strategy, which allows the script to be rerun until it succeeds.
…ry#16300) dependabot updates Tue Nov 15 00:17:54 UTC 2022 Bump github.com/aerospike/aerospike-client-go/v6 from 6.4.0 to 6.6.0 in /receiver/aerospikereceiver Bump github.com/aws/aws-sdk-go-v2/config from 1.17.10 to 1.18.0 in /extension/sigv4authextension Bump go.mongodb.org/atlas from 0.18.0 to 0.19.0 in /receiver/mongodbatlasreceiver Bump google.golang.org/api from 0.102.0 to 0.103.0 in /receiver/googlecloudspannerreceiver Bump k8s.io/api from 0.25.3 to 0.25.4 in /processor/k8sattributesprocessor Bump k8s.io/apimachinery from 0.25.3 to 0.25.4 in /internal/k8sconfig Bump k8s.io/apimachinery from 0.25.3 to 0.25.4 in /processor/resourcedetectionprocessor Bump k8s.io/client-go from 0.25.3 to 0.25.4 in /processor/k8sattributesprocessor Co-authored-by: codeboten <codeboten@users.noreply.github.com>
The container requests where using same fixed, exposed port, instead of using the random one. In this commit we are calculating the exposed port in the getContainer method, returning the endpoint for the container in order to be used by each test
…en-telemetry#16172) feat: add segments memory metric on node level
…telemetry#16280) * fix: fix port feature gate's description * remove changelog
open-telemetry#16309) Example corrected :- body changed to attributes
…#16264) * chore: use testcontainers-go in zookeper receiver * chore: use testcontainers-go in memcached receiver * chore: use testcontainers-go in docker stats receiver * chore: use testcontainers-go in aerospike receiver * chore: use testcontainers-go in kafka metrics receiver * chore: use testcontainers-go in docker observer extension
…lemetry#16251) * Allow specifying functions per context
…s for Redis versions >= 6.0 (open-telemetry#14943) Update Redis Receiver to Support CPU Metrics After 6.0 Add more state values to redis.cpu.time metrics to support sys_main_thread and user_main_thread cpu usage time.
…lemetry#16301) The methods were deprecated since there is no establish convention on how to decode empty trace or span IDs at this point. The current method behavior is preserved in functions added in internal/coreinternal/traceutil. This commit updates all the usages of HexString where the result is used as identifier to the new internal methods.
…pen-telemetry#16302) Avoid unnecessary string encoding and decoding of trace ID. Create UUID from bytes directly
…n-telemetry#16298) * Commonize logic for handling slice and non-slice args * Add PR number for issue reference Co-authored-by: Evan Bradley <evan-bradley@users.noreply.github.com>
1. In adoption to deprecation of [Span|Trace]ID.HexString method, this change includes migration to [Span|Trace]ID implementing fmt.Stringer interface for display purposes. 2. Adopt to service.State enum values renames
It's not used anymore, in favor of testcontainers-go
…ding (open-telemetry#16322) Make flaky test less demanding, and add more checks to make sure the test actually tests a behavior of the exporter
…trics (open-telemetry#16324) [exporter/splunkhecexporter] Do not log a warning on mapping empty metrics.
* fix demo could not stat up Signed-off-by: Jared Tan <jian.tan@daocloud.io> * remove unnecessary GOOS=linux Signed-off-by: Jared Tan <jian.tan@daocloud.io> Signed-off-by: Jared Tan <jian.tan@daocloud.io>
* add a new method BuildWithSplitFunc, this method can directly pass in a user-defined splitFunc
…rd types (open-telemetry#14875) * feat: add cluster health metrics for two more shard types
…#16362) Signed-off-by: Bogdan Drutu <bogdandrutu@gmail.com>
These tests needed a little love to make it easier to contribute to the component Co-authored-by: Alex Boten <alex@boten.ca>
…16364) by increasing the expected time to start and stop
Add new approvers to remaining lists Co-authored-by: Evan Bradley <evan-bradley@users.noreply.github.com>
Update autoassign.yaml
…ry#16351) Use proper context name in readme
…t pool (open-telemetry#16250) Adding new feature to allow the user to add their own CA to the ingest and api client cert pool. This is needed when the exporter is pointing to a TLS enabled signalfx receiver or/and TLS enabled http_forwarder and the CA is not in the system cert pool (ex: agent <--> GW setup) Signed-off-by: Dani Louca <dlouca@splunk.com> Co-authored-by: Dmitrii Anoshin <anoshindx@gmail.com>
…and operation time metrics (open-telemetry#16170) * feat: add missing operation count datapoints with total aggregation * feat: add missing operation count datapoints with primary shards aggregation * feat: add missing operation time datapoints with total shard aggregation * feat: add missing operation time datapoints with primary shards aggregations
* Update the jmx-metrics version to * Update add-jmx-metrics-gatherer-1.20.0-alpha.yaml Co-authored-by: Alex Boten <alex@boten.ca>
…etry#16354) * [exporter/azuremonitor] Support span and exception events Exception events flow to the AppInsights Exception table Span events flow to the Traces table, when enabled. * Add changelog entry * Exporting span events is off by default
…c name (open-telemetry#16071) Trim type's and unit's suffixes from metric name as per otel specs. There was a lot of changes required to pass down a featuregate.Registry in order to be testable. The important bit in the receiver code path is the metricFamily.appendMetric which trims the suffixes when creating an OTLP metric. Units suffixes will only take effect when using the OpenMetrics format, since the prometheus parser doesn't support units. This is being guarded by the gate: --feature-gates=pkg.translator.prometheus.NormalizeName
Adds support for setting maps in Values. The primary impact is the ability for contexts to set maps as attribute values.
We used only one constant for error message from "github.com/jaegertracing/jaeger/cmd/collector/app/handler"
…open-telemetry#16372) Return full error instead of format string "Unable to process request body: %v"
Signed-off-by: Alex Boten <aboten@lightstep.com> Signed-off-by: Alex Boten <aboten@lightstep.com>
…emetry#16376) Signed-off-by: Bogdan Drutu <bogdandrutu@gmail.com> Signed-off-by: Bogdan Drutu <bogdandrutu@gmail.com>
Signed-off-by: Jared Tan <jian.tan@daocloud.io>
Signed-off-by: Jared Tan <jian.tan@daocloud.io>
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Signed-off-by: Jared Tan <jian.tan@daocloud.io>
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… Histo --> Histogram (open-telemetry#33824) ## Description This PR adds a custom metric function to the transformprocessor to convert exponential histograms to explicit histograms. Link to tracking issue: Resolves open-telemetry#33827 **Function Name** ``` convert_exponential_histogram_to_explicit_histogram ``` **Arguments:** - `distribution` (_upper, midpoint, uniform, random_) - `ExplicitBoundaries: []float64` **Usage example:** ```yaml processors: transform: error_mode: propagate metric_statements: - context: metric statements: - convert_exponential_histogram_to_explicit_histogram("random", [10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0]) ``` **Converts:** ``` Resource SchemaURL: ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: response_time -> Description: -> Unit: -> DataType: ExponentialHistogram -> AggregationTemporality: Delta ExponentialHistogramDataPoints #0 Data point attributes: -> metric_type: Str(timing) StartTimestamp: 1970-01-01 00:00:00 +0000 UTC Timestamp: 2024-07-31 09:35:25.212037 +0000 UTC Count: 44 Sum: 999.000000 Min: 40.000000 Max: 245.000000 Bucket (32.000000, 64.000000], Count: 10 Bucket (64.000000, 128.000000], Count: 22 Bucket (128.000000, 256.000000], Count: 12 {"kind": "exporter", "data_type": "metrics", "name": "debug"} ``` **To:** ``` Resource SchemaURL: ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: response_time -> Description: -> Unit: -> DataType: Histogram -> AggregationTemporality: Delta HistogramDataPoints #0 Data point attributes: -> metric_type: Str(timing) StartTimestamp: 1970-01-01 00:00:00 +0000 UTC Timestamp: 2024-07-30 21:37:07.830902 +0000 UTC Count: 44 Sum: 999.000000 Min: 40.000000 Max: 245.000000 ExplicitBounds #0: 10.000000 ExplicitBounds #1: 20.000000 ExplicitBounds #2: 30.000000 ExplicitBounds #3: 40.000000 ExplicitBounds #4: 50.000000 ExplicitBounds #5: 60.000000 ExplicitBounds #6: 70.000000 ExplicitBounds #7: 80.000000 ExplicitBounds #8: 90.000000 ExplicitBounds #9: 100.000000 Buckets #0, Count: 0 Buckets #1, Count: 0 Buckets #2, Count: 0 Buckets #3, Count: 2 Buckets #4, Count: 5 Buckets #5, Count: 0 Buckets #6, Count: 3 Buckets #7, Count: 7 Buckets #8, Count: 2 Buckets #9, Count: 4 Buckets #10, Count: 21 {"kind": "exporter", "data_type": "metrics", "name": "debug"} ``` ### Testing - Several unit tests have been created. We have also tested by ingesting and converting exponential histograms from the `statsdreceiver` as well as directly via the `otlpreceiver` over grpc over several hours with a large amount of data. - We have clients that have been running this solution in production for a number of weeks. ### Readme description: ### convert_exponential_hist_to_explicit_hist `convert_exponential_hist_to_explicit_hist([ExplicitBounds])` the `convert_exponential_hist_to_explicit_hist` function converts an ExponentialHistogram to an Explicit (_normal_) Histogram. `ExplicitBounds` is represents the list of bucket boundaries for the new histogram. This argument is __required__ and __cannot be empty__. __WARNING:__ The process of converting an ExponentialHistogram to an Explicit Histogram is not perfect and may result in a loss of precision. It is important to define an appropriate set of bucket boundaries to minimize this loss. For example, selecting Boundaries that are too high or too low may result histogram buckets that are too wide or too narrow, respectively. --------- Co-authored-by: Kent Quirk <kentquirk@gmail.com> Co-authored-by: Tyler Helmuth <12352919+TylerHelmuth@users.noreply.github.com>
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…ry#38146) <!--Ex. Fixing a bug - Describe the bug and how this fixes the issue. Ex. Adding a feature - Explain what this achieves.--> #### Description This PR adds support for configuring metric temporality (delta or cumulative) in the telemetrygen tool. This allows users to generate metrics with different temporality types, which is particularly useful for testing different metric collection scenarios. ##### Changes - Added `temporalityType` flag for metrics pipeline that accepts values: `delta` or `cumulative` <!-- Issue number (e.g. open-telemetry#1234) or full URL to issue, if applicable. --> #### Link to tracking issue Fixes open-telemetry#38073 <!--Describe what testing was performed and which tests were added.--> #### Testing Testing was performed by setting up as simple collector with `otlp `receiver and `debug` exporter ##### Sum Datapoint ``` Resource SchemaURL: https://opentelemetry.io/schemas/1.13.0 Resource attributes: -> service.name: Str(telemetrygen) ScopeMetrics #0 ScopeMetrics SchemaURL: InstrumentationScope Metric #0 Descriptor: -> Name: gen -> Description: -> Unit: -> DataType: Histogram -> AggregationTemporality: Delta ``` ##### Histogram Datapoint ``` Count: 0 Sum: 3940.000000 ExplicitBounds #0: 0.000000 ExplicitBounds #1: 5.000000 ExplicitBounds #2: 10.000000 ExplicitBounds #3: 25.000000 ExplicitBounds #4: 50.000000 ExplicitBounds #5: 75.000000 ExplicitBounds #6: 100.000000 ExplicitBounds #7: 250.000000 ExplicitBounds #8: 500.000000 ExplicitBounds #9: 750.000000 ExplicitBounds #10: 1000.000000 ExplicitBounds #11: 2500.000000 ExplicitBounds #12: 5000.000000 ExplicitBounds #13: 7500.000000 ExplicitBounds #14: 10000.000000 Buckets #0, Count: 0 Buckets #1, Count: 0 Buckets #2, Count: 1 Buckets #3, Count: 0 Buckets #4, Count: 0 Buckets #5, Count: 0 Buckets #6, Count: 3 Buckets #7, Count: 4 Buckets #8, Count: 1 Buckets #9, Count: 1 Buckets #10, Count: 0 Buckets #11, Count: 0 Buckets #12, Count: 0 Buckets #13, Count: 0 Buckets #14, Count: 0 ``` - [x] Need to add tests for the config --------- Signed-off-by: Nikos Angelopoulos <nikolaos.angelopoulos@grafana.com>
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