Lifecycle test #1

lkwronski · 2024-02-26T18:31:29Z

Description:

Link to tracking Issue:

Testing:

Documentation:

**Description:** <Describe what has changed.>  This PR implements the new container logs parser as it was proposed at open-telemetry#31959. **Link to tracking Issue:** <Issue number if applicable> open-telemetry#31959 **Testing:** <Describe what testing was performed and which tests were added.> Added unit tests. Providing manual testing steps as well: ### How to test this manually 1. Using the following config file: ```yaml receivers: filelog: start_at: end include_file_name: false include_file_path: true include: - /var/log/pods/*/*/*.log operators: - id: container-parser type: container output: m1 - type: move id: m1 from: attributes.k8s.pod.name to: attributes.val - id: some type: add field: attributes.key2.key_in value: val2 exporters: debug: verbosity: detailed service: pipelines: logs: receivers: [filelog] exporters: [debug] processors: [] ``` 2. Start the collector: `./bin/otelcontribcol_linux_amd64 --config ~/otelcol/container_parser/config.yaml` 3. Use the following bash script to create some logs: ```bash #! /bin/bash echo '2024-04-13T07:59:37.505201169-05:00 stdout P This is a very very long crio line th' >> /var/log/pods/kube-scheduler-kind-control-plane_49cc7c1fd3702c40b2686ea7486091d3/kube-scheduler43/1.log echo '{"log":"INFO: log line here","stream":"stdout","time":"2029-03-30T08:31:20.545192187Z"}' >> /var/log/pods/kube-controller-kind-control-plane_49cc7c1fd3702c40b2686ea7486091d6/kube-controller/1.log echo '2024-04-13T07:59:37.505201169-05:00 stdout F at is awesome! crio is awesome!' >> /var/log/pods/kube-scheduler-kind-control-plane_49cc7c1fd3702c40b2686ea7486091d3/kube-scheduler43/1.log echo '2021-06-22T10:27:25.813799277Z stdout P some containerd log th' >> /var/log/pods/kube-scheduler-kind-control-plane_49cc7c1fd3702c40b2686ea7486091d3/kube-scheduler44/1.log echo '{"log":"INFO: another log line here","stream":"stdout","time":"2029-03-30T08:31:20.545192187Z"}' >> /var/log/pods/kube-controller-kind-control-plane_49cc7c1fd3702c40b2686ea7486091d6/kube-controller/1.log echo '2021-06-22T10:27:25.813799277Z stdout F at is super awesome! Containerd is awesome' >> /var/log/pods/kube-scheduler-kind-control-plane_49cc7c1fd3702c40b2686ea7486091d3/kube-scheduler44/1.log echo '2024-04-13T07:59:37.505201169-05:00 stdout F standalone crio line which is awesome!' >> /var/log/pods/kube-scheduler-kind-control-plane_49cc7c1fd3702c40b2686ea7486091d3/kube-scheduler43/1.log echo '2021-06-22T10:27:25.813799277Z stdout F standalone containerd line that is super awesome!' >> /var/log/pods/kube-scheduler-kind-control-plane_49cc7c1fd3702c40b2686ea7486091d3/kube-scheduler44/1.log ``` 4. Run the above as a bash script to verify any parallel processing. Verify that the output is correct. ### Test manually on k8s 1. `make docker-otelcontribcol && docker tag otelcontribcol otelcontribcol-dev:0.0.1 && kind load docker-image otelcontribcol-dev:0.0.1` 2. Install using the following helm values file: ```yaml mode: daemonset presets: logsCollection: enabled: true image: repository: otelcontribcol-dev tag: "0.0.1" pullPolicy: IfNotPresent command: name: otelcontribcol config: exporters: debug: verbosity: detailed receivers: filelog: start_at: end include_file_name: false include_file_path: true exclude: - /var/log/pods/default_daemonset-opentelemetry-collector*_*/opentelemetry-collector/*.log include: - /var/log/pods/*/*/*.log operators: - id: container-parser type: container output: some - id: some type: add field: attributes.key2.key_in value: val2 service: pipelines: logs: receivers: [filelog] processors: [batch] exporters: [debug] ``` 3. Check collector's output to verify the logs are parsed properly: ```console 2024-05-10T07:52:02.307Z info LogsExporter {"kind": "exporter", "data_type": "logs", "name": "debug", "resource logs": 1, "log records": 2} 2024-05-10T07:52:02.307Z info ResourceLog #0 Resource SchemaURL: ScopeLogs #0 ScopeLogs SchemaURL: InstrumentationScope LogRecord #0 ObservedTimestamp: 2024-05-10 07:52:02.046236071 +0000 UTC Timestamp: 2024-05-10 07:52:01.92533954 +0000 UTC SeverityText: SeverityNumber: Unspecified(0) Body: Str(otel logs at 07:52:01) Attributes: -> log: Map({"iostream":"stdout"}) -> time: Str(2024-05-10T07:52:01.92533954Z) -> k8s: Map({"container":{"name":"busybox","restart_count":"0"},"namespace":{"name":"default"},"pod":{"name":"daemonset-logs-6f6mn","uid":"1069e46b-03b2-4532-a71f-aaec06c0197b"}}) -> logtag: Str(F) -> key2: Map({"key_in":"val2"}) -> log.file.path: Str(/var/log/pods/default_daemonset-logs-6f6mn_1069e46b-03b2-4532-a71f-aaec06c0197b/busybox/0.log) Trace ID: Span ID: Flags: 0 LogRecord #1 ObservedTimestamp: 2024-05-10 07:52:02.046411602 +0000 UTC Timestamp: 2024-05-10 07:52:02.027386192 +0000 UTC SeverityText: SeverityNumber: Unspecified(0) Body: Str(otel logs at 07:52:02) Attributes: -> log.file.path: Str(/var/log/pods/default_daemonset-logs-6f6mn_1069e46b-03b2-4532-a71f-aaec06c0197b/busybox/0.log) -> time: Str(2024-05-10T07:52:02.027386192Z) -> log: Map({"iostream":"stdout"}) -> logtag: Str(F) -> k8s: Map({"container":{"name":"busybox","restart_count":"0"},"namespace":{"name":"default"},"pod":{"name":"daemonset-logs-6f6mn","uid":"1069e46b-03b2-4532-a71f-aaec06c0197b"}}) -> key2: Map({"key_in":"val2"}) Trace ID: Span ID: Flags: 0 ... ``` **Documentation:** <Describe the documentation added.> Added Signed-off-by: ChrsMark <[email protected]>

…try#33225) **Description:** <Describe what has changed.> Using the DB span example below, X-Ray exporter failed to generate the expected DB call subsegment names because it could not parse JDBC connection strings that start with the `jdbc:` prefix. ``` Span #1 Trace ID : 663a0b68a5e3849c09c07f914b3df738 Parent ID : 1052e2a4a2516884 ID : 374de78b552e23c2 Name : orders@no-appsignals-mysql-1.cnkqok6c8mo1.eu-west-1.rds.amazonaws.com Kind : Client Start time : 2024-05-07 11:07:20.62 +0000 UTC End time : 2024-05-07 11:07:20.624 +0000 UTC Status code : Unset Status message : Attributes: -> db.connection_string: Str(jdbc:mysql://no-appsignals-mysql-1.cnkqok6c8mo1.eu-west-1.rds.amazonaws.com:3306) -> db.name: Str(orders) -> db.system: Str(MySQL) -> db.user: Str([email protected]) ``` **Link to tracking Issue:** <Issue number if applicable> **Testing:** <Describe what testing was performed and which tests were added.> local tests

…pen-telemetry#33353) **Description:** <Describe what has changed.>  Container parser should add k8s metadata as resource attributes and not as log record attributes. **Link to tracking Issue:** <Issue number if applicable> Fixes open-telemetry#33341 **Testing:** <Describe what testing was performed and which tests were added.> Manual testing on local k8s cluster: ```console 2024-06-04T06:40:08.219Z info ResourceLog #0 Resource SchemaURL: Resource attributes: -> k8s.pod.uid: Str(d5ecc924-e255-4525-b5be-6437939b1e4d) -> k8s.container.name: Str(busybox) -> k8s.namespace.name: Str(default) -> k8s.pod.name: Str(daemonset-logs-dhzcq) -> k8s.container.restart_count: Str(0) ScopeLogs #0 ScopeLogs SchemaURL: InstrumentationScope LogRecord #0 ObservedTimestamp: 2024-06-04 06:40:08.007370503 +0000 UTC Timestamp: 2024-06-04 06:40:07.855932421 +0000 UTC SeverityText: SeverityNumber: Unspecified(0) Body: Str(otel logs at 06:40:07) Attributes: -> logtag: Str(F) -> key2: Map({"key_in":"val2"}) -> log.file.path: Str(/var/log/pods/default_daemonset-logs-dhzcq_d5ecc924-e255-4525-b5be-6437939b1e4d/busybox/0.log) -> time: Str(2024-06-04T06:40:07.855932421Z) -> log.iostream: Str(stdout) Trace ID: Span ID: Flags: 0 LogRecord #1 ObservedTimestamp: 2024-06-04 06:40:08.007451031 +0000 UTC Timestamp: 2024-06-04 06:40:07.957875321 +0000 UTC SeverityText: SeverityNumber: Unspecified(0) Body: Str(otel logs at 06:40:07) Attributes: -> log.file.path: Str(/var/log/pods/default_daemonset-logs-dhzcq_d5ecc924-e255-4525-b5be-6437939b1e4d/busybox/0.log) -> log.iostream: Str(stdout) -> time: Str(2024-06-04T06:40:07.957875321Z) -> key2: Map({"key_in":"val2"}) -> logtag: Str(F) Trace ID: Span ID: Flags: 0 ``` **Documentation:** <Describe the documentation added.> ~ --------- Signed-off-by: ChrsMark <[email protected]>

@timestamp

…try.log_response_body` config (open-telemetry#33854) **Description:** <Describe what has changed.>  - Add `telemetry.log_request_body` and `telemetry.log_response_body` config for debugging. Debug log will contain field `request_body` and/or `response_body` in the same log line instead of separate lines to avoid interleaved log lines. - Change "Request failed" log level to debug. Output: ``` 2024-07-02T14:09:24.983+0100 debug elasticsearchexporter/elasticsearch_bulk.go:67 Request roundtrip completed. {"kind": "exporter", "data_type": "logs", "name": "elasticsearch", "response_body": "{\"version\":{\"number\":\"1.2.3\"}}\n", "path": "/", "method": "GET", "duration": 0.000865486, "status": "200 OK"} 2024-07-02T14:09:24.984+0100 debug elasticsearchexporter/elasticsearch_bulk.go:67 Request roundtrip completed. {"kind": "exporter", "data_type": "logs", "name": "elasticsearch", "request_body": "{\"create\":{\"_index\":\"logs-test-idx\"}}\n{\"@timestamp\":\"2024-07-02T13:09:24.970187592Z\",\"Attributes\":{\"a\":\"test\",\"b\":5,\"batch_index\":\"batch_1\",\"c\":3,\"d\":true,\"item_index\":\"item_1\"},\"Body\":\"Load Generator Counter #0\",\"Scope\":{\"name\":\"\",\"version\":\"\"},\"SeverityNumber\":11,\"SeverityText\":\"INFO3\",\"TraceFlags\":1}\n{\"create\":{\"_index\":\"logs-test-idx\"}}\n{\"@timestamp\":\"2024-07-02T13:09:24.970187592Z\",\"Attributes\":{\"a\":\"test\",\"b\":5,\"batch_index\":\"batch_1\",\"c\":3,\"d\":true,\"item_index\":\"item_2\"},\"Body\":\"Load Generator Counter #1\",\"Scope\":{\"name\":\"\",\"version\":\"\"},\"SeverityNumber\":11,\"SeverityText\":\"INFO3\",\"TraceFlags\":1}\n", "response_body": "{\"took\":0,\"errors\":false,\"items\":[{\"create\":{\"_index\":\"logs-test-idx\",\"_id\":\"\",\"_version\":0,\"result\":\"\",\"status\":201,\"_seq_no\":0,\"_primary_term\":0,\"_shards\":{\"total\":0,\"successful\":0,\"failed\":0},\"error\":{\"type\":\"\",\"reason\":\"\",\"caused_by\":{\"type\":\"\",\"reason\":\"\"}}}},{\"create\":{\"_index\":\"logs-test-idx\",\"_id\":\"\",\"_version\":0,\"result\":\"\",\"status\":201,\"_seq_no\":0,\"_primary_term\":0,\"_shards\":{\"total\":0,\"successful\":0,\"failed\":0},\"error\":{\"type\":\"\",\"reason\":\"\",\"caused_by\":{\"type\":\"\",\"reason\":\"\"}}}}]}\n", "path": "/_bulk", "method": "POST", "duration": 0.000539979, "status": "200 OK"} ``` Required config to log ``` exporters: elasticsearch: telemetry: log_request_body: true log_response_body: true service: telemetry: logs: level: debug ``` For easier analysis, limit the size of request body size. Use `num_workers`=1 and lower `flush.bytes` and/or `flush.interval`. **Link to tracking Issue:** <Issue number if applicable> **Testing:** <Describe what testing was performed and which tests were added.> Manually verified with a modified integration test. **Documentation:** <Describe the documentation added.>

… 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 open-telemetry#2: 30.000000 ExplicitBounds open-telemetry#3: 40.000000 ExplicitBounds open-telemetry#4: 50.000000 ExplicitBounds open-telemetry#5: 60.000000 ExplicitBounds open-telemetry#6: 70.000000 ExplicitBounds open-telemetry#7: 80.000000 ExplicitBounds open-telemetry#8: 90.000000 ExplicitBounds open-telemetry#9: 100.000000 Buckets #0, Count: 0 Buckets #1, Count: 0 Buckets open-telemetry#2, Count: 0 Buckets open-telemetry#3, Count: 2 Buckets open-telemetry#4, Count: 5 Buckets open-telemetry#5, Count: 0 Buckets open-telemetry#6, Count: 3 Buckets open-telemetry#7, Count: 7 Buckets open-telemetry#8, Count: 2 Buckets open-telemetry#9, Count: 4 Buckets open-telemetry#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 <[email protected]> Co-authored-by: Tyler Helmuth <[email protected]>

Lifecycle test

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Lifecycle test #1

Lifecycle test #1

lkwronski commented Feb 26, 2024

Lifecycle test #1

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Lifecycle test #1

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lkwronski commented Feb 26, 2024