Make individual packages on the repo #10
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Typically users will be interested in specific packages of the repo. This change sets the model for individual packages on the repo and establishes the make to be used via a common makefile.
pjanotti
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bogdandrutu,
flands,
songy23 and
tigrannajaryan
as code owners
ljmsc
referenced
this pull request
in ljmsc/opentelemetry-collector-contrib
Feb 21, 2022
bogdandrutu
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that referenced
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May 12, 2022
… its first release. (#10) * Remove standalone agent functionality and complex output operators. Simplify module structure and prepare for initial release.
hex1848
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that referenced
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Jun 2, 2022
Closes open-telemetry#9 Signed-off-by: Juraci Paixão Kröhling <juraci@kroehling.de>
hex1848
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Jun 2, 2022
* Initial commit * Add CODEOWNERS file (open-telemetry#2) * Add CODEOWNERS file * Update CODEOWNERS * Moved from github.com/observatorium/opentelemetry-collector-builder (open-telemetry#3) Signed-off-by: Juraci Paixão Kröhling <juraci@kroehling.de> * fixed panics (open-telemetry#6) Signed-off-by: Joe Elliott <number101010@gmail.com> * Replace master with main in CI and mergify files (open-telemetry#8) Signed-off-by: Juraci Paixão Kröhling <juraci@kroehling.de> * Bump to OpenTelemetry Collector 0.20.0 (open-telemetry#10) Closes open-telemetry#9 Signed-off-by: Juraci Paixão Kröhling <juraci@kroehling.de> * Explicitly enable Go modules in quickstart instructions (open-telemetry#13) * Update to collector v0.21.0 (open-telemetry#17) Fixes open-telemetry#16 Signed-off-by: Juraci Paixão Kröhling <juraci@kroehling.de> * Update to collector v0.22.0 (open-telemetry#19) * Download go modules before building (open-telemetry#20) Fixes open-telemetry#14 * Add version command (open-telemetry#25) Signed-off-by: Ashmita Bohara <ashmita.bohara152@gmail.com> * Pass errors from cobra Execute back to main for correct exit code (open-telemetry#28) * pass errors from cobra execute back to main * print the error * Update to collector v0.23.0 (open-telemetry#27) * Generate a warning if the builder and collector base version mismatch (open-telemetry#30) * Generate a warning if the builder and collector base version mismatch * Show current default version in the warning message * Update to OpenTelemetry Collector 0.24.0 * Don't use %w formatting with log.Fatal (open-telemetry#35) * Update to OpenTelemetry Collector 0.25.0 (open-telemetry#36) Signed-off-by: Serge Catudal <serge.catudal@gmail.com> * Update to 0.26.0 and update BuildInfo (open-telemetry#39) * Sync build and CI Go versions at latest 1.16 (open-telemetry#34) * Sync build and CI Go versions at latest 1.16 * Run go mod tidy * Set go binary to use in the compilation phase in tests Signed-off-by: Juraci Paixão Kröhling <juraci@kroehling.de> Co-authored-by: Juraci Paixão Kröhling <juraci@kroehling.de> * Add option to generate go code only (no compile) (open-telemetry#40) * Issue#24 Add option to generate go code only (no compile) * Update cmd/root.go logging Suggested by @jpkkrohling Co-authored-by: Juraci Paixão Kröhling <juraci.github@kroehling.de> * remove verbose help .. created by corba * suggestion by jpkrohling to keep generateandcompile * lint error: remove unused var * reword cmd option and add back help message for default Co-authored-by: Juraci Paixão Kröhling <juraci.github@kroehling.de> * Don't reuse exec.Cmd (open-telemetry#42) * Update to OpenTelemetry Collector 0.27.0 (open-telemetry#43) * Add CI Badge (open-telemetry#47) * Update to Collector v0.28.0 (open-telemetry#49) * Update to Collector v0.28.0 Closes open-telemetry#48 Addresses the breaking API change in open-telemetry/opentelemetry-collector#3163, besides the usual version number changes. Signed-off-by: Fangyi Zhou <me@fangyi.io> * Use `go mod tidy` instead of `go mod download` It appears that this magically resolves the go.mod file issue. https://stackoverflow.com/questions/67203641/missing-go-sum-entry-for-module-providing-package-package-name Signed-off-by: Fangyi Zhou <me@fangyi.io> * Account for go mod download in go1.17 not updating go.sum (open-telemetry#50) * Update to collector v0.29.0 (open-telemetry#54) * Update replaces.builder.yaml * Update nocore.builder.yaml * Update config.go * Update README.md * Update main.go * Update to collector v0.30.0 (open-telemetry#57) * cmd: fix module flag default value to github.com/open-telemetry (open-telemetry#58) Signed-off-by: Koichi Shiraishi <zchee.io@gmail.com> * Update to collector v0.31.0 (open-telemetry#60) * Update to v0.33.0 (open-telemetry#62) Signed-off-by: Anthony J Mirabella <a9@aneurysm9.com> * Add excludes support to generated go.mod (open-telemetry#63) Signed-off-by: Anthony J Mirabella <a9@aneurysm9.com> Co-authored-by: Juraci Paixão Kröhling <juraci@kroehling.de> * Small cleanup for the builder files (open-telemetry#64) Signed-off-by: Bogdan Drutu <bogdandrutu@gmail.com> * Support building with Go 1.17 (open-telemetry#66) * Support building with Go 1.17 Fixes open-telemetry#65 Signed-off-by: Juraci Paixão Kröhling <juraci@kroehling.de> * Update workflows to use Go 1.17 Signed-off-by: Juraci Paixão Kröhling <juraci@kroehling.de> * Add gosec exceptions for exec.Command Signed-off-by: Juraci Paixão Kröhling <juraci@kroehling.de> * Update to OpenTelemetry core 0.34.0 (open-telemetry#68) Fixes open-telemetry#67 Signed-off-by: Juraci Paixão Kröhling <juraci@kroehling.de> * Upgrade to OpenTelemetry Collector 0.35.0 (open-telemetry#70) Signed-off-by: Fangyi Zhou <me@fangyi.io> * Upgrade to OpenTelemetry Collector 0.36.0 (open-telemetry#76) * Generate custom service code for Windows (open-telemetry#75) * update main to include windows service code * use main version from tag 0.35.0 * update main function * align with upstream v0.36.0 tag * dummy change to trigger build * Revert "dummy change to trigger build" This reverts commit 629d499461da2d2c240bf1e495b5fe0558e3547f. * Remove Core from Module type (open-telemetry#77) Fixes open-telemetry#15 Signed-off-by: yugo-horie <u5.horie@gmail.com> * release 0.37.0 (open-telemetry#78) * release 0.37.0 * update use of NewCommand * Move builder to subdirectory Signed-off-by: Juraci Paixão Kröhling <juraci@kroehling.de> Co-authored-by: Bogdan Drutu <lazy@splunk.com> Co-authored-by: Bogdan Drutu <bogdandrutu@gmail.com> Co-authored-by: Joe Elliott <joe.elliott@grafana.com> Co-authored-by: Eric Yang <jiwen624@gmail.com> Co-authored-by: Brian Gibbins <eroteme@supernought.co.uk> Co-authored-by: Ashmita <ashmita.bohara152@gmail.com> Co-authored-by: Fangyi Zhou <me@fangyi.io> Co-authored-by: Shaun Creary <65406540+crearys@users.noreply.github.com> Co-authored-by: Patryk Małek <69143962+pmalek-sumo@users.noreply.github.com> Co-authored-by: Serge Catudal <serge.catudal@gmail.com> Co-authored-by: Aaron Stone <aaron@serendipity.cx> Co-authored-by: Patryk Małek <pmalek@sumologic.com> Co-authored-by: Aaron Stone <aaron.stone@udacity.com> Co-authored-by: Kelvin Lo <kello@live.ca> Co-authored-by: Himanshu <addyjeridiq@gmail.com> Co-authored-by: Y.Horie <u5.horie@gmail.com> Co-authored-by: Koichi Shiraishi <zchee.io@gmail.com> Co-authored-by: Anthony Mirabella <a9@aneurysm9.com> Co-authored-by: Cal Loomis <68860480+loomis-relativity@users.noreply.github.com> Co-authored-by: alrex <aboten@lightstep.com>
sky333999
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May 23, 2023
TylerHelmuth
added a commit
that referenced
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Sep 21, 2024
… Histo --> Histogram (#33824) ## Description This PR adds a custom metric function to the transformprocessor to convert exponential histograms to explicit histograms. Link to tracking issue: Resolves #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>
jriguera
referenced
this pull request
in springernature/opentelemetry-collector-contrib
Oct 4, 2024
… 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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Typically users will be interested in specific packages of the repo. This change sets the model for individual packages on the repo and establishes the make to be used via a common makefile. Building from the root of the repo it will build all packages on the repo, while one can build only the package that they are working on.
The Makefile.Common checks are the same currently used on the OTelSvc repo. We still have to add CI pass (likely travis to follow same as OTelSvc) and some form of code coverage.