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fix(sources): fix unexpected timestamp field

Open rwakulszowa opened this issue 1 year ago • 2 comments

When log namespacing is enabled, exec and http_server sources include a redundant timestamp field when decoding is enabled. When decoding is not enabled, they put the content under a "message" key, instead of directly in the root object.

In the case of exec, the issue was caused by passing a hardcoded LogNamespace value to the decoder. Fixed by passing the parsed value.

In the case of http_server, the decoder ignored the global LogNamespace. Fixed by passing the correctly parsed value to the decoder.

Fixes #20404.

rwakulszowa avatar Oct 19 '24 21:10 rwakulszowa

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bits-bot avatar Oct 19 '24 21:10 bits-bot

Tested manually with the following config (copied verbatim from #20404):

schema:
  log_namespace: true

sources:
  source_exec:
    type: exec
    command: ['echo', '{"log": "123"}']
    mode: scheduled
  source_http_server:
    type: http_server
    address: 0.0.0.0:80
  source_socket:
    type: socket
    address: 0.0.0.0:9000
    mode: tcp

sinks:
  sink_console:
    inputs:
      - source_*
    type: console
    encoding:
      codec: json

Please double check, though. I'm not a ddog / vector expert, so it won't hurt to be extra careful here.

rwakulszowa avatar Oct 19 '24 21:10 rwakulszowa

Regression Detector Results

Run ID: ddbeb5e5-87b6-4762-9a2f-a02b0815e129 Metrics dashboard

Baseline: 96e55620701a9f1150e31319707ce09ea5ee69fb Comparison: 158d5fb1a8741d51f8cb2e7a26ecd85f91902508

Performance changes are noted in the perf column of each table:

  • ✅ = significantly better comparison variant performance
  • ❌ = significantly worse comparison variant performance
  • ➖ = no significant change in performance

Significant changes in experiment optimization goals

Confidence level: 90.00% Effect size tolerance: |Δ mean %| ≥ 5.00%

perf experiment goal Δ mean % Δ mean % CI links
syslog_regex_logs2metric_ddmetrics ingress throughput -7.41 [-7.59, -7.23]

Experiments ignored for regressions

Regressions in experiments with settings containing erratic: true are ignored.

perf experiment goal Δ mean % Δ mean % CI links
file_to_blackhole egress throughput -0.78 [-4.92, +3.36]

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI links
datadog_agent_remap_datadog_logs ingress throughput +1.73 [+1.53, +1.93]
datadog_agent_remap_datadog_logs_acks ingress throughput +1.21 [+1.02, +1.40]
http_to_s3 ingress throughput +0.71 [+0.56, +0.87]
syslog_splunk_hec_logs ingress throughput +0.37 [+0.25, +0.50]
splunk_hec_to_splunk_hec_logs_noack ingress throughput +0.01 [-0.02, +0.03]
splunk_hec_to_splunk_hec_logs_acks ingress throughput +0.00 [-0.03, +0.03]
splunk_hec_indexer_ack_blackhole ingress throughput +0.00 [-0.02, +0.02]
http_to_http_noack ingress throughput +0.00 [-0.06, +0.06]
http_to_http_json ingress throughput -0.01 [-0.06, +0.04]
http_to_http_acks ingress throughput -0.03 [-0.52, +0.46]
syslog_log2metric_tag_cardinality_limit_blackhole ingress throughput -0.10 [-0.20, -0.00]
fluent_elasticsearch ingress throughput -0.37 [-0.92, +0.17]
syslog_log2metric_humio_metrics ingress throughput -0.47 [-0.63, -0.30]
syslog_log2metric_splunk_hec_metrics ingress throughput -0.48 [-0.60, -0.36]
http_text_to_http_json ingress throughput -0.73 [-0.89, -0.58]
file_to_blackhole egress throughput -0.78 [-4.92, +3.36]
syslog_loki ingress throughput -0.98 [-1.07, -0.89]
socket_to_socket_blackhole ingress throughput -1.85 [-1.92, -1.79]
http_elasticsearch ingress throughput -2.45 [-2.65, -2.25]
datadog_agent_remap_blackhole_acks ingress throughput -2.68 [-2.78, -2.59]
otlp_http_to_blackhole ingress throughput -2.80 [-2.91, -2.68]
otlp_grpc_to_blackhole ingress throughput -2.91 [-3.10, -2.71]
splunk_hec_route_s3 ingress throughput -2.97 [-3.26, -2.68]
datadog_agent_remap_blackhole ingress throughput -2.99 [-3.14, -2.84]
syslog_humio_logs ingress throughput -3.51 [-3.61, -3.41]
syslog_regex_logs2metric_ddmetrics ingress throughput -7.41 [-7.59, -7.23]

Explanation

A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".

For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:

  1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

  2. Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.

  3. Its configuration does not mark it "erratic".

github-actions[bot] avatar Oct 21 '24 16:10 github-actions[bot]

Regression Detector Results

Run ID: 6a91f78b-0cd3-4acc-b10a-19b67c8d83dd Metrics dashboard

Baseline: dc441a28bb8dda527e79bbc3e8145bcb5ee0cadf Comparison: f1bdfc09b1c8badff91c3e57438f0c17bc504a84

Performance changes are noted in the perf column of each table:

  • ✅ = significantly better comparison variant performance
  • ❌ = significantly worse comparison variant performance
  • ➖ = no significant change in performance

No significant changes in experiment optimization goals

Confidence level: 90.00% Effect size tolerance: |Δ mean %| ≥ 5.00%

There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.

Experiments ignored for regressions

Regressions in experiments with settings containing erratic: true are ignored.

perf experiment goal Δ mean % Δ mean % CI links
file_to_blackhole egress throughput -2.21 [-6.34, +1.92]

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI links
syslog_log2metric_tag_cardinality_limit_blackhole ingress throughput +3.13 [+2.99, +3.26]
syslog_log2metric_humio_metrics ingress throughput +2.89 [+2.75, +3.04]
otlp_grpc_to_blackhole ingress throughput +2.33 [+2.13, +2.53]
datadog_agent_remap_blackhole_acks ingress throughput +2.30 [+2.18, +2.42]
datadog_agent_remap_datadog_logs ingress throughput +1.61 [+1.40, +1.81]
http_to_s3 ingress throughput +1.45 [+1.26, +1.64]
syslog_log2metric_splunk_hec_metrics ingress throughput +1.38 [+1.24, +1.52]
http_text_to_http_json ingress throughput +1.36 [+1.25, +1.47]
http_elasticsearch ingress throughput +1.04 [+0.87, +1.21]
syslog_humio_logs ingress throughput +0.84 [+0.66, +1.02]
syslog_loki ingress throughput +0.65 [+0.50, +0.79]
syslog_splunk_hec_logs ingress throughput +0.60 [+0.48, +0.71]
datadog_agent_remap_blackhole ingress throughput +0.37 [+0.26, +0.48]
splunk_hec_to_splunk_hec_logs_acks ingress throughput +0.17 [+0.13, +0.22]
fluent_elasticsearch ingress throughput +0.13 [-0.40, +0.67]
http_to_http_noack ingress throughput +0.01 [-0.04, +0.07]
http_to_http_json ingress throughput +0.00 [-0.04, +0.05]
splunk_hec_to_splunk_hec_logs_noack ingress throughput +0.00 [-0.02, +0.02]
splunk_hec_indexer_ack_blackhole ingress throughput -0.00 [-0.02, +0.02]
http_to_http_acks ingress throughput -0.02 [-0.50, +0.47]
otlp_http_to_blackhole ingress throughput -0.37 [-0.48, -0.25]
splunk_hec_route_s3 ingress throughput -0.63 [-0.93, -0.32]
syslog_regex_logs2metric_ddmetrics ingress throughput -0.73 [-0.88, -0.58]
datadog_agent_remap_datadog_logs_acks ingress throughput -1.25 [-1.45, -1.05]
socket_to_socket_blackhole ingress throughput -1.65 [-1.73, -1.57]
file_to_blackhole egress throughput -2.21 [-6.34, +1.92]

Explanation

A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".

For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:

  1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

  2. Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.

  3. Its configuration does not mark it "erratic".

github-actions[bot] avatar Oct 21 '24 16:10 github-actions[bot]

Regression Detector Results

Run ID: 263aa050-84d6-45ee-8bcd-808b6babb819 Metrics dashboard

Baseline: 22a51cddde5f2de950a67bc89956070b3b6cd89d Comparison: a2b152df8a27b74521df2bc437e64fcbf7978307

Performance changes are noted in the perf column of each table:

  • ✅ = significantly better comparison variant performance
  • ❌ = significantly worse comparison variant performance
  • ➖ = no significant change in performance

No significant changes in experiment optimization goals

Confidence level: 90.00% Effect size tolerance: |Δ mean %| ≥ 5.00%

There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.

Experiments ignored for regressions

Regressions in experiments with settings containing erratic: true are ignored.

perf experiment goal Δ mean % Δ mean % CI links
file_to_blackhole egress throughput -2.76 [-6.89, +1.36]

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI links
syslog_log2metric_humio_metrics ingress throughput +1.73 [+1.60, +1.85]
syslog_log2metric_tag_cardinality_limit_blackhole ingress throughput +1.35 [+1.26, +1.44]
datadog_agent_remap_datadog_logs ingress throughput +1.24 [+1.03, +1.45]
datadog_agent_remap_blackhole_acks ingress throughput +0.98 [+0.82, +1.14]
syslog_splunk_hec_logs ingress throughput +0.78 [+0.70, +0.87]
splunk_hec_route_s3 ingress throughput +0.78 [+0.48, +1.08]
datadog_agent_remap_datadog_logs_acks ingress throughput +0.63 [+0.42, +0.85]
http_elasticsearch ingress throughput +0.52 [+0.38, +0.67]
syslog_loki ingress throughput +0.32 [+0.22, +0.41]
splunk_hec_to_splunk_hec_logs_noack ingress throughput +0.02 [-0.01, +0.04]
http_to_http_acks ingress throughput +0.00 [-0.48, +0.49]
http_to_http_noack ingress throughput +0.00 [-0.05, +0.05]
http_to_http_json ingress throughput -0.00 [-0.05, +0.05]
splunk_hec_indexer_ack_blackhole ingress throughput -0.00 [-0.02, +0.02]
datadog_agent_remap_blackhole ingress throughput -0.09 [-0.18, +0.01]
splunk_hec_to_splunk_hec_logs_acks ingress throughput -0.12 [-0.16, -0.08]
http_text_to_http_json ingress throughput -0.30 [-0.42, -0.19]
otlp_grpc_to_blackhole ingress throughput -0.62 [-0.80, -0.44]
syslog_log2metric_splunk_hec_metrics ingress throughput -0.68 [-0.79, -0.57]
http_to_s3 ingress throughput -0.80 [-0.97, -0.63]
fluent_elasticsearch ingress throughput -2.04 [-2.57, -1.52]
socket_to_socket_blackhole ingress throughput -2.26 [-2.31, -2.20]
syslog_humio_logs ingress throughput -2.36 [-2.50, -2.21]
file_to_blackhole egress throughput -2.76 [-6.89, +1.36]
syslog_regex_logs2metric_ddmetrics ingress throughput -3.54 [-3.73, -3.35]
otlp_http_to_blackhole ingress throughput -4.62 [-4.73, -4.52]

Explanation

A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".

For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:

  1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

  2. Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.

  3. Its configuration does not mark it "erratic".

github-actions[bot] avatar Oct 21 '24 19:10 github-actions[bot]