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Add Stackdriver Exporter and configs. #7

Merged
merged 5 commits into from
Jul 17, 2019
Merged

Add Stackdriver Exporter and configs. #7

merged 5 commits into from
Jul 17, 2019

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songy23
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@songy23 songy23 commented Jul 17, 2019

Fixes #6.

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songy23 commented Jul 17, 2019

/cc @dinooliva @rghetia

pjanotti
pjanotti reviewed Jul 17, 2019
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Hi @songy23 not sure if you want to bring it as it is and latter improve it or change it before merging. In any case here are some small issues.

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songy23
songy23 commented Jul 17, 2019
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Thanks @pjanotti for the review. This is mostly a copy-and-paste of https://github.com/census-instrumentation/opencensus-service/tree/master/exporter/stackdriverexporter with conforming to the new config and factory in otel-svc. You're right that there're certain things that are stale with the new configs.

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tigrannajaryan
tigrannajaryan reviewed Jul 17, 2019
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@pjanotti pjanotti merged commit 68b55bb into open-telemetry:master Jul 17, 2019
@songy23 songy23 deleted the stackdriver branch July 17, 2019 18:38
bogdandrutu pushed a commit that referenced this pull request May 12, 2022
@djaglowski
Add basic CI for unit testing (#7)
e7099ee 
* Add basic CI for unit testing
@daoweili daoweili mentioned this pull request Apr 26, 2023
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@sairamsadanala sairamsadanala mentioned this pull request Sep 14, 2023
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TylerHelmuth added a commit that referenced this pull request Sep 21, 2024
@daidokoro @kentquirk @TylerHelmuth
[processor/transform] Add Conversion Function to OTTL for Exponential…
74b1048 
… 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>
edma2 pushed a commit to edma2/opentelemetry-collector-contrib that referenced this pull request Oct 3, 2024
@edma2
don't prepend component path to tag (open-telemetry#7)
bbc8042
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@tigrannajaryan tigrannajaryan tigrannajaryan left review comments

@pjanotti pjanotti pjanotti approved these changes

@bogdandrutu bogdandrutu Awaiting requested review from bogdandrutu

@flands flands Awaiting requested review from flands

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exporter/stackdriver: move code and configs here.
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@songy23 @tigrannajaryan @pjanotti