mirror of
https://github.com/GreptimeTeam/greptimedb.git
synced 2026-07-04 04:50:37 +00:00
feat: table semantic layer per-table enrichment (Phase 2) (#8218)
* feat: table semantic layer per-table enrichment (Phase 2)
Phase 2 of the table semantic layer, plus a vocabulary trim so the layer only
records what a machine consumer cannot cheaply recover on its own.
Per-table metric enrichment (OTLP), via an internal per-table channel:
- A `SemanticIndex` accumulator records, per emitted table, the declared metric
keys: type / unit / temporality / metadata_quality=declared / original_name.
Conflicting single-valued keys collapse to `mixed`/`unknown`.
- Recording happens at the `encode_metrics` level where the base name, metric
type, and proto fields are all in scope, so histogram/summary fan-out gets the
correct per-subtable type (`_bucket`=histogram, `_sum`/`_count`=counter)
without threading state through every encoder.
- The index is serialized onto the `greptime.internal.semantic.per_table_index`
context extension; `apply_per_table_semantic_options` folds each table's keys
into its options at auto-create time.
- `trace.conventions` is refined from the request's resource/scope `schema_url`s
(concrete when uniform, else `mixed`/`unknown`).
Vocabulary trimmed to only meaningful keys. Kept: signal_type, source, pipeline,
trace.conventions, metric.{type,unit,temporality,metadata_quality,original_name}.
Dropped: metric.monotonic (a function of type), trace.has_events/has_links
(constant + derivable from columns), log.severity_scheme/body_format (constant /
derivable, and body_format cost an O(rows) scan), resource/scope lineage
(restates columns / collector-config concern), source_version (no cheap
non-constant value today). Prometheus carries type/unit in the metric name by
convention, so it gets identity only — no inferred enrichment.
Identity (signal_type + source) extended to the remaining ingest protocols so
the discovery view is complete: InfluxDB and OpenTSDB (metric), Loki and
Elasticsearch (log). These protocols carry no type/unit metadata, so identity is
all that applies.
Tests: unit coverage for the accumulator, per-metric-type fan-out, and trace
conventions; integration goldens updated for the OTLP metric/trace SHOW CREATE
output and the new Loki identity.
Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
* chore: validate the option value
Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
---------
Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
This commit is contained in:
dennis zhuang
GitHub
@@ -48,35 +48,42 @@ The audience is broader than LLM agents. Alert generators need to choose between
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## Vocabulary
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All keys are flat strings under the `greptime.semantic.` prefix; values are strings; unknown keys are tolerated so the vocabulary can grow without coordinated rollouts.
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All keys are flat strings under the `greptime.semantic.` prefix; values are strings.
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The vocabulary is deliberately small. A key earns its place only when it records
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something a consumer cannot cheaply and reliably recover on its own — from the
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schema, the column set, or the metric-naming conventions it already understands.
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Keys whose value is already in the metric name by convention (Prometheus
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`_total`/`_bucket` suffixes), is a constant for the only producer that sets it,
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or merely restates an existing column are intentionally omitted rather than
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stamped for completeness. This is why, for example, Prometheus remote write
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tables carry only the common identity (their type/unit live in the name), and
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why resource-attribute lineage is not stamped (it is an ingest/collector-config
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concern, not query-time semantics).
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**Common (all signals)**
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| Key | Example |
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| --- | --- |
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| `greptime.semantic.signal_type` | `trace` / `log` / `metric` / `event` |
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| `greptime.semantic.source` | `opentelemetry` / `prometheus` / `elasticsearch` / `loki` / `custom` |
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| `greptime.semantic.source_version` | protocol or SDK version, e.g. `v2` (Prom remote write), `1.30.0` (optional) |
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| `greptime.semantic.pipeline` | `greptime_trace_v1` (subsumes the existing `table_data_model` value) |
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| `greptime.semantic.source` | `opentelemetry` / `prometheus` / `influxdb` / `opentsdb` / `elasticsearch` / `loki` / `custom` |
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| `greptime.semantic.pipeline` | `greptime_trace_v1` (the signal-agnostic successor to `table_data_model`) |
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**Trace**: `greptime.semantic.trace.conventions` (e.g. `otel-semconv-1.27`, lifted from `schema_url`, which is the version of the OpenTelemetry semantic conventions used in this table), `greptime.semantic.trace.has_events`, `greptime.semantic.trace.has_links`.
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**Trace**: `greptime.semantic.trace.conventions` (the OTel `schema_url` the rows conform to, or `mixed` / `unknown` when not single-valued).
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**Metric** — v1 assumes one metric type per table, which is how both Prom RW and the post-v0.16 OTel ingestion path land data today; mixed-type tables are a follow-up.
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**Metric** — v1 assumes one metric type per table, which is how both Prom RW and the post-v0.16 OTel ingestion path land data today; mixed-type tables are a follow-up. These are stamped for OTLP (which declares them on the wire and then discards them); Prometheus carries its type/unit in the name and gets identity only.
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| Key | Example |
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| --- | --- |
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| `greptime.semantic.metric.type` | `counter` / `gauge` / `histogram` / `summary` / `updown_counter` / `gauge_histogram` / `info` / `stateset` |
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| `greptime.semantic.metric.unit` | UCUM, e.g. `s`, `By`, `{request}` |
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| `greptime.semantic.metric.temporality` | `cumulative` / `delta` (OTel only) |
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| `greptime.semantic.metric.monotonic` | `true` / `false` |
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| `greptime.semantic.metric.metadata_quality` | `declared` (OTLP / Prom RW v2 / exposition) or `inferred` (Prom RW v1, name-suffix guess) |
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| `greptime.semantic.metric.original_name` | Pre-translation OTel name when the table name was Prometheus-ised |
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| `greptime.semantic.metric.unit` | UCUM, e.g. `s`, `By`, `{request}` (discarded by the row encoders, so unrecoverable once ingested) |
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| `greptime.semantic.metric.temporality` | `cumulative` / `delta` (OTel only; invisible in the name) |
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| `greptime.semantic.metric.metadata_quality` | `declared` (OTLP / exposition) or `inferred` (Prom RW v1, name-suffix guess) |
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| `greptime.semantic.metric.original_name` | Pre-translation OTel name when the table name was Prometheus-ised; the key a consumer uses to look the metric up in the OTel semantic conventions |
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`metadata_quality = inferred` is the load-bearing field for confidence-aware tooling: an inferred counter should be re-checked before betting on `rate()`-style semantics.
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**Log**: `greptime.semantic.log.severity_scheme` (`otlp` / `syslog` / `custom`), `greptime.semantic.log.body_format` (`string` / `json` / `mixed`).
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**Resource / scope preservation**: `greptime.semantic.resource.attributes_preserved` (JSON array string of attrs promoted to columns), `greptime.semantic.resource.attributes_dropped` (boolean), `greptime.semantic.scope.preserved` (boolean). These answer the most common downstream question: "is this data missing because it was dropped, or because it lives on a different column than I think?" List-shaped values use JSON array strings rather than comma-separated text to avoid escaping and ordering ambiguity.
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**Deliberately omitted (and why)**: `metric.monotonic` (a function of `type`); `trace.has_events`/`has_links` (constant for the v1 model and derivable from the `span_events`/`span_links` columns); `log.severity_scheme`/`log.body_format` (constant / derivable by sampling, and the latter cost an O(rows) scan); `resource.attributes_preserved`/`attributes_dropped`/`scope.preserved` (the preserved set restates columns, the dropped flag is a contentless boolean, and lineage is a collector-config concern); `source_version` (no cheap non-constant value today — Prom RW is v1-only, OTel SDK identity is deferred). Some are reserved for follow-ups (see Future Work).
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## Conflict and update semantics
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@@ -30,6 +30,7 @@ use servers::query_handler::InfluxdbLineProtocolHandler;
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use session::context::QueryContextRef;
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use snafu::{OptionExt, ResultExt};
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use store_api::mito_engine_options::MERGE_MODE_KEY;
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use table::requests::{SEMANTIC_SIGNAL_TYPE, SEMANTIC_SOURCE, SIGNAL_TYPE_METRIC, SOURCE_INFLUXDB};
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use crate::instance::Instance;
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use crate::service_config::influxdb::InfluxdbMergeMode;
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@@ -77,6 +78,12 @@ impl InfluxdbLineProtocolHandler for Instance {
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.await?;
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let ctx = ctx_with_default_merge_mode(ctx, self.influxdb_default_merge_mode);
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let ctx = {
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let mut c = (*ctx).clone();
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c.set_extension(SEMANTIC_SIGNAL_TYPE, SIGNAL_TYPE_METRIC);
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c.set_extension(SEMANTIC_SOURCE, SOURCE_INFLUXDB);
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Arc::new(c)
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};
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self.handle_influx_row_inserts(requests, ctx)
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.await
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@@ -12,6 +12,8 @@
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// See the License for the specific language governing permissions and
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// limitations under the License.
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use std::sync::Arc;
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use async_trait::async_trait;
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use auth::{PermissionChecker, PermissionCheckerRef, PermissionReq};
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use common_error::ext::BoxedError;
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@@ -22,6 +24,7 @@ use servers::opentsdb::data_point_to_grpc_row_insert_requests;
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use servers::query_handler::OpentsdbProtocolHandler;
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use session::context::QueryContextRef;
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use snafu::prelude::*;
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use table::requests::{SEMANTIC_SIGNAL_TYPE, SEMANTIC_SOURCE, SIGNAL_TYPE_METRIC, SOURCE_OPENTSDB};
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use crate::instance::Instance;
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@@ -41,6 +44,13 @@ impl OpentsdbProtocolHandler for Instance {
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let (requests, _) = data_point_to_grpc_row_insert_requests(data_points)?;
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let ctx = {
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let mut c = (*ctx).clone();
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c.set_extension(SEMANTIC_SIGNAL_TYPE, SIGNAL_TYPE_METRIC);
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c.set_extension(SEMANTIC_SOURCE, SOURCE_OPENTSDB);
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Arc::new(c)
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};
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// OpenTSDB is single value.
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let output = self
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.handle_row_inserts(requests, ctx, true, true)
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@@ -44,9 +44,9 @@ use servers::query_handler::{
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use session::context::QueryContextRef;
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use snafu::{IntoError, ResultExt};
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use table::requests::{
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OTLP_METRIC_COMPAT_KEY, OTLP_METRIC_COMPAT_PROM, SEMANTIC_PIPELINE, SEMANTIC_SIGNAL_TYPE,
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SEMANTIC_SOURCE, SEMANTIC_TRACE_CONVENTIONS, SEMANTIC_TRACE_HAS_EVENTS,
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SEMANTIC_TRACE_HAS_LINKS, SEMANTIC_VALUE_UNKNOWN, SIGNAL_TYPE_LOG, SIGNAL_TYPE_METRIC,
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OTLP_METRIC_COMPAT_KEY, OTLP_METRIC_COMPAT_PROM, SEMANTIC_PER_TABLE_INDEX_KEY,
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SEMANTIC_PIPELINE, SEMANTIC_SIGNAL_TYPE, SEMANTIC_SOURCE, SEMANTIC_TRACE_CONVENTIONS,
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SEMANTIC_VALUE_MIXED, SEMANTIC_VALUE_UNKNOWN, SIGNAL_TYPE_LOG, SIGNAL_TYPE_METRIC,
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SIGNAL_TYPE_TRACE, SOURCE_OPENTELEMETRY, TABLE_DATA_MODEL_TRACE_V1,
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};
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@@ -133,13 +133,19 @@ impl OpenTelemetryProtocolHandler for Instance {
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.unwrap_or_default();
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metric_ctx.is_legacy = is_legacy;
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let (requests, rows) = otlp::metrics::to_grpc_insert_requests(request, &mut metric_ctx)?;
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let (requests, rows, semantic_index) =
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otlp::metrics::to_grpc_insert_requests(request, &mut metric_ctx)?;
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OTLP_METRICS_ROWS.inc_by(rows as u64);
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let ctx = {
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let mut c = (*ctx).clone();
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c.set_extension(SEMANTIC_SIGNAL_TYPE, SIGNAL_TYPE_METRIC);
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c.set_extension(SEMANTIC_SOURCE, SOURCE_OPENTELEMETRY);
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// Per-table metric specifics + resource/scope lineage ride this
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// internal channel; the auto-create path folds them per table name.
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if let Some(index) = semantic_index.encode() {
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c.set_extension(SEMANTIC_PER_TABLE_INDEX_KEY, index);
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}
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if !is_legacy {
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c.set_extension(OTLP_METRIC_COMPAT_KEY, OTLP_METRIC_COMPAT_PROM.to_string());
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}
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@@ -185,6 +191,8 @@ impl OpenTelemetryProtocolHandler for Instance {
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.get::<OpenTelemetryProtocolInterceptorRef<servers::error::Error>>();
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interceptor_ref.pre_execute(ctx.clone())?;
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// `schema_url` is consumed by `parse`, so derive conventions first.
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let conventions = trace_conventions(&request);
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let spans = otlp::trace::span::parse(request);
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self.ingest_trace_spans(
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pipeline_handler,
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@@ -192,6 +200,7 @@ impl OpenTelemetryProtocolHandler for Instance {
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&pipeline_params,
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table_name,
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spans,
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&conventions,
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ctx,
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)
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.await
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@@ -262,6 +271,7 @@ impl OpenTelemetryProtocolHandler for Instance {
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impl Instance {
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/// Ingest OTLP trace spans with chunk-level writes and span-level fallback on
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/// deterministic chunk failures.
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#[allow(clippy::too_many_arguments)]
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async fn ingest_trace_spans(
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&self,
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pipeline_handler: PipelineHandlerRef,
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@@ -269,6 +279,7 @@ impl Instance {
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pipeline_params: &GreptimePipelineParams,
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table_name: String,
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groups: Vec<TraceSpanGroup>,
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conventions: &str,
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ctx: QueryContextRef,
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) -> ServerResult<TraceIngestOutcome> {
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let is_trace_v1_model = matches!(pipeline, PipelineWay::OtlpTraceDirectV1);
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@@ -281,10 +292,7 @@ impl Instance {
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c.set_extension(SEMANTIC_SOURCE, SOURCE_OPENTELEMETRY);
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if is_trace_v1_model {
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c.set_extension(SEMANTIC_PIPELINE, TABLE_DATA_MODEL_TRACE_V1);
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c.set_extension(SEMANTIC_TRACE_HAS_EVENTS, "true");
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c.set_extension(SEMANTIC_TRACE_HAS_LINKS, "true");
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// schema_url is row-level, so conventions is unknown at table level.
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c.set_extension(SEMANTIC_TRACE_CONVENTIONS, SEMANTIC_VALUE_UNKNOWN);
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c.set_extension(SEMANTIC_TRACE_CONVENTIONS, conventions);
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}
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Arc::new(c)
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};
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@@ -838,6 +846,47 @@ where
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error::ExecuteGrpcQuerySnafu.into_error(BoxedError::new(err))
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}
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/// Derives `trace.conventions` from the request's resource/scope `schema_url`s.
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/// A single distinct non-empty value is concrete; multiple distinct values are
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/// `mixed`; none is `unknown`. `schema_url` is row-level in OTLP, so the
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/// table-level value is best-effort per the RFC conflict rule.
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fn trace_conventions(request: &ExportTraceServiceRequest) -> String {
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let mut seen: Option<&str> = None;
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let mut mixed = false;
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for resource_spans in &request.resource_spans {
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let urls = std::iter::once(resource_spans.schema_url.as_str()).chain(
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resource_spans
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.scope_spans
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.iter()
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.map(|s| s.schema_url.as_str()),
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);
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for url in urls {
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if url.is_empty() {
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continue;
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}
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match seen {
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None => seen = Some(url),
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Some(prev) if prev == url => {}
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Some(_) => {
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mixed = true;
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break;
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}
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}
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}
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if mixed {
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break;
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}
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}
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if mixed {
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SEMANTIC_VALUE_MIXED.to_string()
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} else {
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seen.map(str::to_string)
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.unwrap_or_else(|| SEMANTIC_VALUE_UNKNOWN.to_string())
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}
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}
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#[cfg(test)]
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mod tests {
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use common_error::ext::ErrorExt;
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@@ -1011,4 +1060,47 @@ mod tests {
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assert_eq!(err.status_code(), StatusCode::TableNotFound);
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}
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use opentelemetry_proto::tonic::trace::v1::{ResourceSpans, ScopeSpans};
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use super::{ExportTraceServiceRequest, trace_conventions};
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fn resource_spans(resource_url: &str, scope_urls: &[&str]) -> ResourceSpans {
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ResourceSpans {
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schema_url: resource_url.to_string(),
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scope_spans: scope_urls
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.iter()
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.map(|u| ScopeSpans {
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schema_url: u.to_string(),
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..Default::default()
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})
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.collect(),
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..Default::default()
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}
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}
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#[test]
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fn test_trace_conventions() {
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let unknown = ExportTraceServiceRequest::default();
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assert_eq!(trace_conventions(&unknown), "unknown");
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let url = "https://opentelemetry.io/schemas/1.27.0";
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let single = ExportTraceServiceRequest {
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resource_spans: vec![resource_spans("", &[url, url])],
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};
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assert_eq!(trace_conventions(&single), url);
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let resource_level = ExportTraceServiceRequest {
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resource_spans: vec![resource_spans(url, &[""])],
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};
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assert_eq!(trace_conventions(&resource_level), url);
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let conflicting = ExportTraceServiceRequest {
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resource_spans: vec![resource_spans(
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"",
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&[url, "https://opentelemetry.io/schemas/1.30.0"],
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)],
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};
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assert_eq!(trace_conventions(&conflicting), "mixed");
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}
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}
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@@ -61,9 +61,9 @@ use store_api::storage::{RegionId, TableId};
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use table::TableRef;
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use table::metadata::TableInfo;
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use table::requests::{
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AUTO_CREATE_TABLE_KEY, InsertRequest as TableInsertRequest, TABLE_DATA_MODEL,
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TABLE_DATA_MODEL_TRACE_V1, TRACE_TABLE_PARTITIONS_HINT_KEY, VALID_TABLE_OPTION_KEYS,
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is_semantic_option_key,
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AUTO_CREATE_TABLE_KEY, InsertRequest as TableInsertRequest, SEMANTIC_PER_TABLE_INDEX_KEY,
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TABLE_DATA_MODEL, TABLE_DATA_MODEL_TRACE_V1, TRACE_TABLE_PARTITIONS_HINT_KEY,
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VALID_TABLE_OPTION_KEYS, is_semantic_option_key, validate_semantic_option,
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};
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use table::table_reference::TableReference;
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@@ -861,6 +861,7 @@ impl Inserter {
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) -> Result<CreateTableExpr> {
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let mut table_options = std::collections::HashMap::with_capacity(4);
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fill_table_options_for_create(&mut table_options, create_type, ctx);
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apply_per_table_semantic_options(&mut table_options, ctx, &req.table_name);
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let engine_name = if let AutoCreateTableType::Logical(_) = create_type {
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// engine should be metric engine when creating logical tables.
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@@ -1090,9 +1091,9 @@ pub fn fill_table_options_for_create(
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}
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}
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// Semantic keys are prefix-matched, not in the fixed allowlist above.
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// Semantic keys use their own vocabulary instead of the fixed option list.
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for (key, value) in ctx.extensions() {
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if is_semantic_option_key(&key) {
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if is_semantic_option_key(&key) && validate_semantic_option(&key, &value) {
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table_options.insert(key, value);
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}
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}
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@@ -1144,6 +1145,41 @@ pub fn fill_table_options_for_create(
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}
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}
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/// Folds the semantic keys for `table_name` carried on the internal per-table
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/// index extension into `table_options`.
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///
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/// The index is a `{table_name -> {semantic_key: value}}` JSON blob produced by
|
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/// the OTLP metrics encode path (where one metric can fan out into several
|
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/// tables with distinct keys). Common keys shared by every table in a request
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/// travel as plain semantic extensions and are handled by
|
||||
/// [`fill_table_options_for_create`]; this carries only the per-table tail.
|
||||
/// Keys are re-checked against the vocabulary defensively. Ingestion paths
|
||||
/// without a per-table index (logs, traces, Prom RW) carry no extension, so this
|
||||
/// is a no-op for them.
|
||||
fn apply_per_table_semantic_options(
|
||||
table_options: &mut std::collections::HashMap<String, String>,
|
||||
ctx: &QueryContextRef,
|
||||
table_name: &str,
|
||||
) {
|
||||
let Some(raw) = ctx.extension(SEMANTIC_PER_TABLE_INDEX_KEY) else {
|
||||
return;
|
||||
};
|
||||
let Ok(index) = serde_json::from_str::<
|
||||
std::collections::BTreeMap<String, std::collections::BTreeMap<String, String>>,
|
||||
>(raw) else {
|
||||
warn!("failed to parse semantic per-table index, skipping per-table options");
|
||||
return;
|
||||
};
|
||||
let Some(entry) = index.get(table_name) else {
|
||||
return;
|
||||
};
|
||||
for (key, value) in entry {
|
||||
if is_semantic_option_key(key) && validate_semantic_option(key, value) {
|
||||
table_options.insert(key.clone(), value.clone());
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
pub fn build_create_table_expr(
|
||||
table: &TableReference,
|
||||
request_schema: &[ColumnSchema],
|
||||
@@ -1402,13 +1438,14 @@ mod tests {
|
||||
#[test]
|
||||
fn test_fill_table_options_copies_semantic_extensions() {
|
||||
use table::requests::{
|
||||
SEMANTIC_PER_TABLE_INDEX_KEY, SEMANTIC_SIGNAL_TYPE, SEMANTIC_SOURCE,
|
||||
SIGNAL_TYPE_METRIC, SOURCE_OPENTELEMETRY,
|
||||
SEMANTIC_METRIC_TYPE, SEMANTIC_PER_TABLE_INDEX_KEY, SEMANTIC_SIGNAL_TYPE,
|
||||
SEMANTIC_SOURCE, SIGNAL_TYPE_METRIC, SOURCE_OPENTELEMETRY,
|
||||
};
|
||||
|
||||
let mut ctx = QueryContext::with(DEFAULT_CATALOG_NAME, DEFAULT_SCHEMA_NAME);
|
||||
ctx.set_extension(SEMANTIC_SIGNAL_TYPE, SIGNAL_TYPE_METRIC);
|
||||
ctx.set_extension(SEMANTIC_SOURCE, SOURCE_OPENTELEMETRY);
|
||||
ctx.set_extension(SEMANTIC_METRIC_TYPE, "bogus");
|
||||
// The internal transport key must NOT be copied into table options.
|
||||
ctx.set_extension(SEMANTIC_PER_TABLE_INDEX_KEY, "{}");
|
||||
let ctx = Arc::new(ctx);
|
||||
@@ -1424,9 +1461,59 @@ mod tests {
|
||||
Some(SOURCE_OPENTELEMETRY),
|
||||
table_options.get(SEMANTIC_SOURCE).map(String::as_str)
|
||||
);
|
||||
assert!(!table_options.contains_key(SEMANTIC_METRIC_TYPE));
|
||||
assert!(!table_options.contains_key(SEMANTIC_PER_TABLE_INDEX_KEY));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_apply_per_table_semantic_options() {
|
||||
use table::requests::{
|
||||
SEMANTIC_METRIC_TYPE, SEMANTIC_METRIC_UNIT, SEMANTIC_PER_TABLE_INDEX_KEY,
|
||||
};
|
||||
|
||||
let index = r#"{
|
||||
"http_requests_total": {
|
||||
"greptime.semantic.metric.type": "counter",
|
||||
"greptime.semantic.metric.unit": "By",
|
||||
"greptime.semantic.metric.type_BOGUS": "x"
|
||||
},
|
||||
"other_table": {
|
||||
"greptime.semantic.metric.type": "gauge"
|
||||
}
|
||||
}"#;
|
||||
let mut ctx = QueryContext::with(DEFAULT_CATALOG_NAME, DEFAULT_SCHEMA_NAME);
|
||||
ctx.set_extension(SEMANTIC_PER_TABLE_INDEX_KEY, index);
|
||||
let ctx = Arc::new(ctx);
|
||||
|
||||
let mut table_options = std::collections::HashMap::new();
|
||||
apply_per_table_semantic_options(&mut table_options, &ctx, "http_requests_total");
|
||||
assert_eq!(
|
||||
table_options.get(SEMANTIC_METRIC_TYPE).map(String::as_str),
|
||||
Some("counter")
|
||||
);
|
||||
assert_eq!(
|
||||
table_options.get(SEMANTIC_METRIC_UNIT).map(String::as_str),
|
||||
Some("By")
|
||||
);
|
||||
// The unknown key is rejected by the vocabulary check; other tables' keys
|
||||
// never appear.
|
||||
assert!(!table_options.contains_key("greptime.semantic.metric.type_BOGUS"));
|
||||
assert_eq!(table_options.len(), 2);
|
||||
|
||||
let mut empty = std::collections::HashMap::new();
|
||||
apply_per_table_semantic_options(&mut empty, &ctx, "not_in_index");
|
||||
assert!(empty.is_empty());
|
||||
|
||||
// No extension at all is a no-op (e.g. logs / Prom RW).
|
||||
let bare = Arc::new(QueryContext::with(
|
||||
DEFAULT_CATALOG_NAME,
|
||||
DEFAULT_SCHEMA_NAME,
|
||||
));
|
||||
let mut opts = std::collections::HashMap::new();
|
||||
apply_per_table_semantic_options(&mut opts, &bare, "http_requests_total");
|
||||
assert!(opts.is_empty());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_last_non_null_create_options_preserve_default_with_append_mode_false() {
|
||||
let mut ctx = QueryContext::with(DEFAULT_CATALOG_NAME, DEFAULT_SCHEMA_NAME);
|
||||
|
||||
@@ -31,6 +31,9 @@ use pipeline::{
|
||||
use serde_json::{Deserializer, Value, json};
|
||||
use session::context::{Channel, QueryContext};
|
||||
use snafu::{ResultExt, ensure};
|
||||
use table::requests::{
|
||||
SEMANTIC_SIGNAL_TYPE, SEMANTIC_SOURCE, SIGNAL_TYPE_LOG, SOURCE_ELASTICSEARCH,
|
||||
};
|
||||
use vrl::value::Value as VrlValue;
|
||||
|
||||
use crate::error::{
|
||||
@@ -134,6 +137,8 @@ async fn do_handle_bulk_api(
|
||||
|
||||
// The `schema` is already set in the query_ctx in auth process.
|
||||
query_ctx.set_channel(Channel::Elasticsearch);
|
||||
query_ctx.set_extension(SEMANTIC_SIGNAL_TYPE, SIGNAL_TYPE_LOG);
|
||||
query_ctx.set_extension(SEMANTIC_SOURCE, SOURCE_ELASTICSEARCH);
|
||||
|
||||
let db = query_ctx.current_schema();
|
||||
|
||||
|
||||
@@ -40,6 +40,7 @@ use prost::Message;
|
||||
use quoted_string::test_utils::TestSpec;
|
||||
use session::context::{Channel, QueryContext};
|
||||
use snafu::{OptionExt, ResultExt, ensure};
|
||||
use table::requests::{SEMANTIC_SIGNAL_TYPE, SEMANTIC_SOURCE, SIGNAL_TYPE_LOG, SOURCE_LOKI};
|
||||
use vrl::value::{KeyString, Value as VrlValue};
|
||||
|
||||
use crate::error::{
|
||||
@@ -110,6 +111,8 @@ pub async fn loki_ingest(
|
||||
bytes: Bytes,
|
||||
) -> Result<HttpResponse> {
|
||||
ctx.set_channel(Channel::Loki);
|
||||
ctx.set_extension(SEMANTIC_SIGNAL_TYPE, SIGNAL_TYPE_LOG);
|
||||
ctx.set_extension(SEMANTIC_SOURCE, SOURCE_LOKI);
|
||||
let ctx = Arc::new(ctx);
|
||||
let table_name = table_name.unwrap_or_else(|| LOKI_TABLE_NAME.to_string());
|
||||
let db = ctx.get_db_string();
|
||||
|
||||
@@ -21,13 +21,19 @@ use otel_arrow_rust::proto::opentelemetry::collector::metrics::v1::ExportMetrics
|
||||
use otel_arrow_rust::proto::opentelemetry::common::v1::{AnyValue, KeyValue, any_value};
|
||||
use otel_arrow_rust::proto::opentelemetry::metrics::v1::{metric, number_data_point, *};
|
||||
use session::protocol_ctx::{MetricType, OtlpMetricCtx};
|
||||
use table::requests::{
|
||||
METADATA_QUALITY_DECLARED, SEMANTIC_METRIC_METADATA_QUALITY, SEMANTIC_METRIC_ORIGINAL_NAME,
|
||||
SEMANTIC_METRIC_TEMPORALITY, SEMANTIC_METRIC_TYPE, SEMANTIC_METRIC_UNIT,
|
||||
};
|
||||
|
||||
use crate::error::Result;
|
||||
use crate::otlp::trace::{KEY_SERVICE_INSTANCE_ID, KEY_SERVICE_NAME};
|
||||
use crate::row_writer::{self, MultiTableData, TableData};
|
||||
|
||||
mod semantic;
|
||||
mod translator;
|
||||
|
||||
pub use semantic::SemanticIndex;
|
||||
pub use translator::legacy_normalize_otlp_name;
|
||||
use translator::{translate_label_name, translate_metric_name};
|
||||
|
||||
@@ -36,6 +42,16 @@ const APPROXIMATE_COLUMN_COUNT: usize = 8;
|
||||
|
||||
const COUNT_TABLE_SUFFIX: &str = "_count";
|
||||
const SUM_TABLE_SUFFIX: &str = "_sum";
|
||||
const BUCKET_TABLE_SUFFIX: &str = "_bucket";
|
||||
|
||||
// `greptime.semantic.metric.type` values stamped per emitted table. Must stay
|
||||
// within the domain accepted by `validate_semantic_option`; the drift-guard test
|
||||
// asserts this.
|
||||
const METRIC_TYPE_COUNTER: &str = "counter";
|
||||
const METRIC_TYPE_UPDOWN_COUNTER: &str = "updown_counter";
|
||||
const METRIC_TYPE_GAUGE: &str = "gauge";
|
||||
const METRIC_TYPE_HISTOGRAM: &str = "histogram";
|
||||
const METRIC_TYPE_SUMMARY: &str = "summary";
|
||||
|
||||
const JOB_KEY: &str = "job";
|
||||
const INSTANCE_KEY: &str = "instance";
|
||||
@@ -78,12 +94,14 @@ const OTEL_SCOPE_SCHEMA_URL: &str = "schema_url";
|
||||
/// <https://github.com/open-telemetry/opentelemetry-proto/blob/main/opentelemetry/proto/metrics/v1/metrics.proto>
|
||||
/// for data structure of OTLP metrics.
|
||||
///
|
||||
/// Returns `InsertRequests` and total number of rows to ingest
|
||||
/// Returns `InsertRequests`, total number of rows to ingest, and the per-table
|
||||
/// semantic index for the auto-create path to stamp as table options.
|
||||
pub fn to_grpc_insert_requests(
|
||||
request: ExportMetricsServiceRequest,
|
||||
metric_ctx: &mut OtlpMetricCtx,
|
||||
) -> Result<(RowInsertRequests, usize)> {
|
||||
) -> Result<(RowInsertRequests, usize, SemanticIndex)> {
|
||||
let mut table_writer = MultiTableData::default();
|
||||
let mut semantic_index = SemanticIndex::default();
|
||||
|
||||
for resource in &request.resource_metrics {
|
||||
let resource_attrs = resource.resource.as_ref().map(|r| {
|
||||
@@ -109,12 +127,98 @@ pub fn to_grpc_insert_requests(
|
||||
resource_attrs.as_ref(),
|
||||
scope_attrs.as_ref(),
|
||||
metric_ctx,
|
||||
&mut semantic_index,
|
||||
)?;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Ok(table_writer.into_row_insert_requests())
|
||||
let (requests, rows) = table_writer.into_row_insert_requests();
|
||||
Ok((requests, rows, semantic_index))
|
||||
}
|
||||
|
||||
/// The tables a metric emits and their per-table `metric.type`. Histogram fans
|
||||
/// out into `_bucket` (the histogram) plus `_sum`/`_count` counters; summary
|
||||
/// fans out into the quantile table plus `_count`/`_sum` counters (legacy
|
||||
/// summary stays a single table).
|
||||
fn emitted_semantic_tables(
|
||||
metric_type: &MetricType,
|
||||
is_legacy: bool,
|
||||
base: &str,
|
||||
) -> Vec<(String, &'static str)> {
|
||||
match metric_type {
|
||||
MetricType::Gauge => vec![(base.to_string(), METRIC_TYPE_GAUGE)],
|
||||
MetricType::MonotonicSum => vec![(base.to_string(), METRIC_TYPE_COUNTER)],
|
||||
MetricType::NonMonotonicSum => vec![(base.to_string(), METRIC_TYPE_UPDOWN_COUNTER)],
|
||||
MetricType::Histogram => vec![
|
||||
(
|
||||
format!("{base}{BUCKET_TABLE_SUFFIX}"),
|
||||
METRIC_TYPE_HISTOGRAM,
|
||||
),
|
||||
(format!("{base}{SUM_TABLE_SUFFIX}"), METRIC_TYPE_COUNTER),
|
||||
(format!("{base}{COUNT_TABLE_SUFFIX}"), METRIC_TYPE_COUNTER),
|
||||
],
|
||||
MetricType::Summary if is_legacy => vec![(base.to_string(), METRIC_TYPE_SUMMARY)],
|
||||
MetricType::Summary => vec![
|
||||
(base.to_string(), METRIC_TYPE_SUMMARY),
|
||||
(format!("{base}{COUNT_TABLE_SUFFIX}"), METRIC_TYPE_COUNTER),
|
||||
(format!("{base}{SUM_TABLE_SUFFIX}"), METRIC_TYPE_COUNTER),
|
||||
],
|
||||
// ExponentialHistogram is a no-op today; Init never reaches encoding.
|
||||
MetricType::ExponentialHistogram | MetricType::Init => vec![],
|
||||
}
|
||||
}
|
||||
|
||||
/// Maps OTLP `aggregation_temporality` to the semantic value, or `None` when the
|
||||
/// instrument has no temporality (gauge/summary) or it is unspecified.
|
||||
fn temporality_value(data: &metric::Data) -> Option<&'static str> {
|
||||
let raw = match data {
|
||||
metric::Data::Sum(sum) => sum.aggregation_temporality,
|
||||
metric::Data::Histogram(hist) => hist.aggregation_temporality,
|
||||
_ => return None,
|
||||
};
|
||||
match AggregationTemporality::try_from(raw) {
|
||||
Ok(AggregationTemporality::Delta) => Some("delta"),
|
||||
Ok(AggregationTemporality::Cumulative) => Some("cumulative"),
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
|
||||
/// Records the declared metric-level semantic keys for every table this metric
|
||||
/// emits.
|
||||
fn record_metric_semantics(
|
||||
index: &mut SemanticIndex,
|
||||
metric: &Metric,
|
||||
name: &str,
|
||||
metric_ctx: &OtlpMetricCtx,
|
||||
) {
|
||||
let emitted = emitted_semantic_tables(&metric_ctx.metric_type, metric_ctx.is_legacy, name);
|
||||
if emitted.is_empty() {
|
||||
return;
|
||||
}
|
||||
|
||||
let temporality = metric.data.as_ref().and_then(temporality_value);
|
||||
let unit = metric.unit.trim();
|
||||
// `original_name` is meaningful only when translation renamed the metric.
|
||||
let original_name = (name != metric.name.as_str()).then_some(metric.name.as_str());
|
||||
|
||||
for (table, metric_type) in &emitted {
|
||||
index.record_scalar(table, SEMANTIC_METRIC_TYPE, metric_type);
|
||||
index.record_scalar(
|
||||
table,
|
||||
SEMANTIC_METRIC_METADATA_QUALITY,
|
||||
METADATA_QUALITY_DECLARED,
|
||||
);
|
||||
if let Some(temporality) = temporality {
|
||||
index.record_scalar(table, SEMANTIC_METRIC_TEMPORALITY, temporality);
|
||||
}
|
||||
if !unit.is_empty() {
|
||||
index.record_scalar(table, SEMANTIC_METRIC_UNIT, unit);
|
||||
}
|
||||
if let Some(original_name) = original_name {
|
||||
index.record_scalar(table, SEMANTIC_METRIC_ORIGINAL_NAME, original_name);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fn from_metric_type(data: &metric::Data) -> MetricType {
|
||||
@@ -211,6 +315,7 @@ fn encode_metrics(
|
||||
resource_attrs: Option<&Vec<KeyValue>>,
|
||||
scope_attrs: Option<&Vec<KeyValue>>,
|
||||
metric_ctx: &OtlpMetricCtx,
|
||||
semantic_index: &mut SemanticIndex,
|
||||
) -> Result<()> {
|
||||
let name = if metric_ctx.is_legacy {
|
||||
legacy_normalize_otlp_name(&metric.name)
|
||||
@@ -222,8 +327,11 @@ fn encode_metrics(
|
||||
)
|
||||
};
|
||||
|
||||
// note that we don't store description or unit, we might want to deal with
|
||||
// these fields in the future.
|
||||
// Stamp semantic metadata against the same table name(s) the data is written
|
||||
// to below. `unit` is captured here (it is otherwise discarded by the row
|
||||
// encoders) along with the declared type/temporality.
|
||||
record_metric_semantics(semantic_index, metric, &name, metric_ctx);
|
||||
|
||||
if let Some(data) = &metric.data {
|
||||
match data {
|
||||
metric::Data::Gauge(gauge) => {
|
||||
@@ -511,9 +619,9 @@ fn encode_histogram(
|
||||
) -> Result<()> {
|
||||
let normalized_name = name;
|
||||
|
||||
let bucket_table_name = format!("{}_bucket", normalized_name);
|
||||
let sum_table_name = format!("{}_sum", normalized_name);
|
||||
let count_table_name = format!("{}_count", normalized_name);
|
||||
let bucket_table_name = format!("{}{}", normalized_name, BUCKET_TABLE_SUFFIX);
|
||||
let sum_table_name = format!("{}{}", normalized_name, SUM_TABLE_SUFFIX);
|
||||
let count_table_name = format!("{}{}", normalized_name, COUNT_TABLE_SUFFIX);
|
||||
|
||||
let data_points_len = hist.data_points.len();
|
||||
// Note that the row and columns number here is approximate
|
||||
@@ -1032,4 +1140,191 @@ mod tests {
|
||||
]
|
||||
);
|
||||
}
|
||||
|
||||
use std::collections::BTreeMap;
|
||||
|
||||
use table::requests::validate_semantic_option;
|
||||
|
||||
fn decode(index: &SemanticIndex) -> BTreeMap<String, BTreeMap<String, String>> {
|
||||
serde_json::from_str(&index.encode().expect("non-empty index")).unwrap()
|
||||
}
|
||||
|
||||
fn record(metric: &Metric, metric_type: MetricType, name: &str) -> SemanticIndex {
|
||||
let ctx = OtlpMetricCtx {
|
||||
metric_type,
|
||||
..Default::default()
|
||||
};
|
||||
let mut index = SemanticIndex::default();
|
||||
record_metric_semantics(&mut index, metric, name, &ctx);
|
||||
index
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_metric_type_constants_validate() {
|
||||
for value in [
|
||||
METRIC_TYPE_COUNTER,
|
||||
METRIC_TYPE_UPDOWN_COUNTER,
|
||||
METRIC_TYPE_GAUGE,
|
||||
METRIC_TYPE_HISTOGRAM,
|
||||
METRIC_TYPE_SUMMARY,
|
||||
] {
|
||||
assert!(
|
||||
validate_semantic_option(SEMANTIC_METRIC_TYPE, value),
|
||||
"metric.type value `{value}` must be in the vocabulary domain"
|
||||
);
|
||||
}
|
||||
for value in ["delta", "cumulative"] {
|
||||
assert!(validate_semantic_option(SEMANTIC_METRIC_TEMPORALITY, value));
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_record_monotonic_sum() {
|
||||
let metric = Metric {
|
||||
name: "claude_code.cost.usage".to_string(),
|
||||
unit: "USD".to_string(),
|
||||
data: Some(metric::Data::Sum(Sum {
|
||||
aggregation_temporality: AggregationTemporality::Delta as i32,
|
||||
is_monotonic: true,
|
||||
..Default::default()
|
||||
})),
|
||||
..Default::default()
|
||||
};
|
||||
let index = record(
|
||||
&metric,
|
||||
MetricType::MonotonicSum,
|
||||
"claude_code_cost_usage_USD_total",
|
||||
);
|
||||
let decoded = decode(&index);
|
||||
let t = &decoded["claude_code_cost_usage_USD_total"];
|
||||
|
||||
assert_eq!(
|
||||
t.get(SEMANTIC_METRIC_TYPE).map(String::as_str),
|
||||
Some("counter")
|
||||
);
|
||||
assert_eq!(
|
||||
t.get(SEMANTIC_METRIC_TEMPORALITY).map(String::as_str),
|
||||
Some("delta")
|
||||
);
|
||||
assert_eq!(t.get(SEMANTIC_METRIC_UNIT).map(String::as_str), Some("USD"));
|
||||
assert_eq!(
|
||||
t.get(SEMANTIC_METRIC_ORIGINAL_NAME).map(String::as_str),
|
||||
Some("claude_code.cost.usage")
|
||||
);
|
||||
assert_eq!(
|
||||
t.get(SEMANTIC_METRIC_METADATA_QUALITY).map(String::as_str),
|
||||
Some("declared")
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_record_non_monotonic_sum() {
|
||||
let metric = Metric {
|
||||
name: "queue_size".to_string(),
|
||||
data: Some(metric::Data::Sum(Sum {
|
||||
aggregation_temporality: AggregationTemporality::Cumulative as i32,
|
||||
is_monotonic: false,
|
||||
..Default::default()
|
||||
})),
|
||||
..Default::default()
|
||||
};
|
||||
let index = record(&metric, MetricType::NonMonotonicSum, "queue_size");
|
||||
let decoded = decode(&index);
|
||||
let t = &decoded["queue_size"];
|
||||
assert_eq!(
|
||||
t.get(SEMANTIC_METRIC_TYPE).map(String::as_str),
|
||||
Some("updown_counter")
|
||||
);
|
||||
assert_eq!(
|
||||
t.get(SEMANTIC_METRIC_TEMPORALITY).map(String::as_str),
|
||||
Some("cumulative")
|
||||
);
|
||||
// Name unchanged by translation -> no original_name.
|
||||
assert_eq!(t.get(SEMANTIC_METRIC_ORIGINAL_NAME), None);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_record_gauge_has_no_temporality() {
|
||||
let metric = Metric {
|
||||
name: "temperature".to_string(),
|
||||
data: Some(metric::Data::Gauge(Gauge::default())),
|
||||
..Default::default()
|
||||
};
|
||||
let index = record(&metric, MetricType::Gauge, "temperature");
|
||||
let decoded = decode(&index);
|
||||
let t = &decoded["temperature"];
|
||||
assert_eq!(
|
||||
t.get(SEMANTIC_METRIC_TYPE).map(String::as_str),
|
||||
Some("gauge")
|
||||
);
|
||||
assert_eq!(t.get(SEMANTIC_METRIC_TEMPORALITY), None);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_record_histogram_fans_out_with_distinct_types() {
|
||||
let metric = Metric {
|
||||
name: "request.duration".to_string(),
|
||||
unit: "s".to_string(),
|
||||
data: Some(metric::Data::Histogram(Histogram {
|
||||
aggregation_temporality: AggregationTemporality::Cumulative as i32,
|
||||
..Default::default()
|
||||
})),
|
||||
..Default::default()
|
||||
};
|
||||
let index = record(&metric, MetricType::Histogram, "request_duration");
|
||||
let decoded = decode(&index);
|
||||
|
||||
let bucket = &decoded["request_duration_bucket"];
|
||||
assert_eq!(
|
||||
bucket.get(SEMANTIC_METRIC_TYPE).map(String::as_str),
|
||||
Some("histogram")
|
||||
);
|
||||
assert_eq!(
|
||||
bucket.get(SEMANTIC_METRIC_UNIT).map(String::as_str),
|
||||
Some("s")
|
||||
);
|
||||
|
||||
for companion in ["request_duration_sum", "request_duration_count"] {
|
||||
let t = &decoded[companion];
|
||||
assert_eq!(
|
||||
t.get(SEMANTIC_METRIC_TYPE).map(String::as_str),
|
||||
Some("counter")
|
||||
);
|
||||
assert_eq!(
|
||||
t.get(SEMANTIC_METRIC_TEMPORALITY).map(String::as_str),
|
||||
Some("cumulative")
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_record_summary_fans_out() {
|
||||
let metric = Metric {
|
||||
name: "rpc.latency".to_string(),
|
||||
data: Some(metric::Data::Summary(Summary::default())),
|
||||
..Default::default()
|
||||
};
|
||||
let index = record(&metric, MetricType::Summary, "rpc_latency");
|
||||
let decoded = decode(&index);
|
||||
|
||||
assert_eq!(
|
||||
decoded["rpc_latency"]
|
||||
.get(SEMANTIC_METRIC_TYPE)
|
||||
.map(String::as_str),
|
||||
Some("summary")
|
||||
);
|
||||
// Summary has no temporality.
|
||||
assert_eq!(
|
||||
decoded["rpc_latency"].get(SEMANTIC_METRIC_TEMPORALITY),
|
||||
None
|
||||
);
|
||||
for companion in ["rpc_latency_count", "rpc_latency_sum"] {
|
||||
assert_eq!(
|
||||
decoded[companion]
|
||||
.get(SEMANTIC_METRIC_TYPE)
|
||||
.map(String::as_str),
|
||||
Some("counter")
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
177
src/servers/src/otlp/metrics/semantic.rs
Normal file
177
src/servers/src/otlp/metrics/semantic.rs
Normal file
@@ -0,0 +1,177 @@
|
||||
// Copyright 2023 Greptime Team
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
//! Per-table semantic metadata accumulated during one OTLP metrics encode pass.
|
||||
//!
|
||||
//! A metric emits one or more tables (histogram and summary fan out into
|
||||
//! `_bucket`/`_sum`/`_count` companions). Each emitted table collects the
|
||||
//! metric's scalar semantic keys. The resulting index is serialized onto the
|
||||
//! `greptime.internal.semantic.per_table_index` context extension and folded
|
||||
//! into each table's options at auto-create time.
|
||||
//!
|
||||
//! Conflict handling follows the RFC: when two sources disagree on a
|
||||
//! single-valued key the value collapses to `mixed` (or `unknown` for keys whose
|
||||
//! domain has no `mixed`).
|
||||
|
||||
use std::collections::{BTreeMap, HashMap};
|
||||
|
||||
use table::requests::{SEMANTIC_VALUE_MIXED, SEMANTIC_VALUE_UNKNOWN, validate_semantic_option};
|
||||
|
||||
/// Index of `{table_name -> {semantic_key -> value}}` built while encoding.
|
||||
#[derive(Debug, Default)]
|
||||
pub struct SemanticIndex {
|
||||
/// Per-table scalar keys; conflicting values collapse to `mixed`/`unknown`.
|
||||
tables: HashMap<String, BTreeMap<&'static str, String>>,
|
||||
}
|
||||
|
||||
impl SemanticIndex {
|
||||
pub fn is_empty(&self) -> bool {
|
||||
self.tables.is_empty()
|
||||
}
|
||||
|
||||
/// Records a scalar semantic key for `table`. A value conflicting with one
|
||||
/// already recorded collapses the key to `mixed`/`unknown`; once collapsed
|
||||
/// it stays collapsed.
|
||||
pub fn record_scalar(&mut self, table: &str, key: &'static str, value: &str) {
|
||||
// Avoid allocating the table name (and an empty map) on the common path
|
||||
// where the table is already present.
|
||||
if let Some(scalars) = self.tables.get_mut(table) {
|
||||
match scalars.get(key).map(String::as_str) {
|
||||
Some(existing) if existing == value => {}
|
||||
Some(SEMANTIC_VALUE_MIXED) | Some(SEMANTIC_VALUE_UNKNOWN) => {}
|
||||
Some(_) => {
|
||||
scalars.insert(key, collapse_value(key));
|
||||
}
|
||||
None => {
|
||||
scalars.insert(key, value.to_string());
|
||||
}
|
||||
}
|
||||
} else {
|
||||
self.tables.insert(
|
||||
table.to_string(),
|
||||
BTreeMap::from([(key, value.to_string())]),
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
/// Serializes to the JSON `{table -> {key -> value}}` carried on the context
|
||||
/// extension, or `None` when nothing was recorded.
|
||||
pub fn encode(&self) -> Option<String> {
|
||||
if self.tables.is_empty() {
|
||||
return None;
|
||||
}
|
||||
serde_json::to_string(&self.tables).ok()
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
fn options_of(&self, table: &str) -> Option<&BTreeMap<&'static str, String>> {
|
||||
self.tables.get(table)
|
||||
}
|
||||
}
|
||||
|
||||
/// The collapsed value for a conflicting scalar key: `mixed` when the key's
|
||||
/// domain accepts it, else `unknown`. Uses the vocabulary validator as the
|
||||
/// single source of truth for which keys allow `mixed`.
|
||||
fn collapse_value(key: &str) -> String {
|
||||
if validate_semantic_option(key, SEMANTIC_VALUE_MIXED) {
|
||||
SEMANTIC_VALUE_MIXED.to_string()
|
||||
} else {
|
||||
SEMANTIC_VALUE_UNKNOWN.to_string()
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use table::requests::{
|
||||
SEMANTIC_METRIC_METADATA_QUALITY, SEMANTIC_METRIC_TYPE, SEMANTIC_METRIC_UNIT,
|
||||
};
|
||||
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_scalar_recording_keeps_first_then_collapses_on_conflict() {
|
||||
let mut index = SemanticIndex::default();
|
||||
index.record_scalar("t", SEMANTIC_METRIC_TYPE, "counter");
|
||||
index.record_scalar("t", SEMANTIC_METRIC_TYPE, "counter");
|
||||
assert_eq!(
|
||||
index
|
||||
.options_of("t")
|
||||
.unwrap()
|
||||
.get(SEMANTIC_METRIC_TYPE)
|
||||
.map(String::as_str),
|
||||
Some("counter")
|
||||
);
|
||||
|
||||
// Conflict on a key whose domain has `mixed` collapses to `mixed`.
|
||||
index.record_scalar("t", SEMANTIC_METRIC_TYPE, "gauge");
|
||||
assert_eq!(
|
||||
index
|
||||
.options_of("t")
|
||||
.unwrap()
|
||||
.get(SEMANTIC_METRIC_TYPE)
|
||||
.map(String::as_str),
|
||||
Some("mixed")
|
||||
);
|
||||
// Further writes stay collapsed.
|
||||
index.record_scalar("t", SEMANTIC_METRIC_TYPE, "histogram");
|
||||
assert_eq!(
|
||||
index
|
||||
.options_of("t")
|
||||
.unwrap()
|
||||
.get(SEMANTIC_METRIC_TYPE)
|
||||
.map(String::as_str),
|
||||
Some("mixed")
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_scalar_conflict_without_mixed_domain_collapses_to_unknown() {
|
||||
let mut index = SemanticIndex::default();
|
||||
index.record_scalar("t", SEMANTIC_METRIC_METADATA_QUALITY, "declared");
|
||||
index.record_scalar("t", SEMANTIC_METRIC_METADATA_QUALITY, "inferred");
|
||||
// metadata_quality accepts only declared/inferred/unknown, so a conflict
|
||||
// is `unknown`.
|
||||
assert_eq!(
|
||||
index
|
||||
.options_of("t")
|
||||
.unwrap()
|
||||
.get(SEMANTIC_METRIC_METADATA_QUALITY)
|
||||
.map(String::as_str),
|
||||
Some("unknown")
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_encode_is_none_when_empty_and_round_trips() {
|
||||
let index = SemanticIndex::default();
|
||||
assert!(index.is_empty());
|
||||
assert_eq!(index.encode(), None);
|
||||
|
||||
let mut index = SemanticIndex::default();
|
||||
index.record_scalar("metric_a", SEMANTIC_METRIC_TYPE, "counter");
|
||||
index.record_scalar("metric_a", SEMANTIC_METRIC_UNIT, "By");
|
||||
let json = index.encode().unwrap();
|
||||
let parsed: BTreeMap<String, BTreeMap<String, String>> =
|
||||
serde_json::from_str(&json).unwrap();
|
||||
let table = parsed.get("metric_a").unwrap();
|
||||
assert_eq!(
|
||||
table.get(SEMANTIC_METRIC_TYPE).map(String::as_str),
|
||||
Some("counter")
|
||||
);
|
||||
assert_eq!(
|
||||
table.get(SEMANTIC_METRIC_UNIT).map(String::as_str),
|
||||
Some("By")
|
||||
);
|
||||
}
|
||||
}
|
||||
@@ -19,8 +19,14 @@
|
||||
//! align a table with the observability concept it stands for without guessing
|
||||
//! from column names. See `docs/rfcs/2026-05-28-table-semantic-layer.md`.
|
||||
//!
|
||||
//! All public table-option keys share the [`SEMANTIC_PREFIX`] namespace and are
|
||||
//! string-valued. [`is_semantic_option_key`] gates them through
|
||||
//! The vocabulary is intentionally small: a key earns its place only when it
|
||||
//! records something a consumer cannot cheaply and reliably recover from the
|
||||
//! schema/data itself. Keys whose value is already in the metric name by
|
||||
//! convention, is a constant, or duplicates an existing column are deliberately
|
||||
//! omitted rather than stamped for completeness.
|
||||
//!
|
||||
//! All public keys share the [`SEMANTIC_PREFIX`] namespace and are string-valued.
|
||||
//! [`is_semantic_option_key`] gates them through
|
||||
//! [`crate::requests::validate_table_option`], so they are accepted both on the
|
||||
//! ingestion auto-create path and on explicit `CREATE TABLE ... WITH (...)` DDL.
|
||||
|
||||
@@ -40,56 +46,34 @@ pub const SEMANTIC_PER_TABLE_INDEX_KEY: &str = "greptime.internal.semantic.per_t
|
||||
pub const SEMANTIC_SIGNAL_TYPE: &str = "greptime.semantic.signal_type";
|
||||
/// Ingestion ecosystem, e.g. [`SOURCE_OPENTELEMETRY`] / [`SOURCE_PROMETHEUS`].
|
||||
pub const SEMANTIC_SOURCE: &str = "greptime.semantic.source";
|
||||
/// Optional protocol or SDK version string, e.g. `v2` (Prom remote write), `1.30.0`.
|
||||
pub const SEMANTIC_SOURCE_VERSION: &str = "greptime.semantic.source_version";
|
||||
/// Internal ingestion pipeline / data model, e.g. `greptime_trace_v1`.
|
||||
/// Internal ingestion pipeline / data model, e.g. `greptime_trace_v1`. The
|
||||
/// signal-agnostic successor to the engine-specific `table_data_model` option.
|
||||
pub const SEMANTIC_PIPELINE: &str = "greptime.semantic.pipeline";
|
||||
|
||||
// ---- Trace keys ----
|
||||
|
||||
/// Semantic-conventions version the rows conform to (e.g. `otel-semconv-1.27`),
|
||||
/// Semantic-conventions version the rows conform to (e.g. the OTel schema URL),
|
||||
/// or [`SEMANTIC_VALUE_UNKNOWN`] / [`SEMANTIC_VALUE_MIXED`] when not single-valued.
|
||||
pub const SEMANTIC_TRACE_CONVENTIONS: &str = "greptime.semantic.trace.conventions";
|
||||
/// Whether `span_events` are preserved on the table.
|
||||
pub const SEMANTIC_TRACE_HAS_EVENTS: &str = "greptime.semantic.trace.has_events";
|
||||
/// Whether `span_links` are preserved on the table.
|
||||
pub const SEMANTIC_TRACE_HAS_LINKS: &str = "greptime.semantic.trace.has_links";
|
||||
|
||||
// ---- Metric keys (populated in Phase 2) ----
|
||||
// ---- Metric keys ----
|
||||
|
||||
/// Instrument kind: `counter` / `gauge` / `histogram` / `summary` /
|
||||
/// `updown_counter` / `gauge_histogram` / `info` / `stateset`.
|
||||
pub const SEMANTIC_METRIC_TYPE: &str = "greptime.semantic.metric.type";
|
||||
/// UCUM unit, e.g. `s`, `By`, `{request}`.
|
||||
/// UCUM unit, e.g. `s`, `By`, `{request}`. Discarded by the row encoders, so it
|
||||
/// is unrecoverable once ingested.
|
||||
pub const SEMANTIC_METRIC_UNIT: &str = "greptime.semantic.metric.unit";
|
||||
/// `cumulative` / `delta` (OTel only).
|
||||
/// `cumulative` / `delta` (OTel only). Invisible in the metric name, so it is
|
||||
/// unrecoverable from the table alone.
|
||||
pub const SEMANTIC_METRIC_TEMPORALITY: &str = "greptime.semantic.metric.temporality";
|
||||
/// `true` / `false` for sum / counter typed data.
|
||||
pub const SEMANTIC_METRIC_MONOTONIC: &str = "greptime.semantic.metric.monotonic";
|
||||
/// [`METADATA_QUALITY_DECLARED`] when the protocol stated the type, or
|
||||
/// [`METADATA_QUALITY_INFERRED`] when guessed from a name suffix.
|
||||
pub const SEMANTIC_METRIC_METADATA_QUALITY: &str = "greptime.semantic.metric.metadata_quality";
|
||||
/// Pre-translation OTel metric name when the table name was Prometheus-ised.
|
||||
/// Pre-translation OTel name when the table name was Prometheus-ised; the key a
|
||||
/// consumer uses to look the metric up in the OTel semantic conventions.
|
||||
pub const SEMANTIC_METRIC_ORIGINAL_NAME: &str = "greptime.semantic.metric.original_name";
|
||||
|
||||
// ---- Log keys (populated in Phase 3) ----
|
||||
|
||||
/// `otlp` / `syslog` / `custom` — which mapping to use for `severity_number`.
|
||||
pub const SEMANTIC_LOG_SEVERITY_SCHEME: &str = "greptime.semantic.log.severity_scheme";
|
||||
/// `string` / `json` / `mixed` — how to parse `body`.
|
||||
pub const SEMANTIC_LOG_BODY_FORMAT: &str = "greptime.semantic.log.body_format";
|
||||
|
||||
// ---- Resource / scope preservation keys (populated in Phase 3) ----
|
||||
|
||||
/// JSON array string of resource attributes promoted to first-class columns.
|
||||
pub const SEMANTIC_RESOURCE_ATTRIBUTES_PRESERVED: &str =
|
||||
"greptime.semantic.resource.attributes_preserved";
|
||||
/// `true` / `false` — whether any resource attribute was dropped at ingest.
|
||||
pub const SEMANTIC_RESOURCE_ATTRIBUTES_DROPPED: &str =
|
||||
"greptime.semantic.resource.attributes_dropped";
|
||||
/// `true` / `false` — whether `scope.name` / `scope.version` survive on the row.
|
||||
pub const SEMANTIC_SCOPE_PRESERVED: &str = "greptime.semantic.scope.preserved";
|
||||
|
||||
// ---- Value constants ----
|
||||
|
||||
pub const SIGNAL_TYPE_TRACE: &str = "trace";
|
||||
@@ -99,6 +83,10 @@ pub const SIGNAL_TYPE_EVENT: &str = "event";
|
||||
|
||||
pub const SOURCE_OPENTELEMETRY: &str = "opentelemetry";
|
||||
pub const SOURCE_PROMETHEUS: &str = "prometheus";
|
||||
pub const SOURCE_INFLUXDB: &str = "influxdb";
|
||||
pub const SOURCE_OPENTSDB: &str = "opentsdb";
|
||||
pub const SOURCE_LOKI: &str = "loki";
|
||||
pub const SOURCE_ELASTICSEARCH: &str = "elasticsearch";
|
||||
|
||||
pub const METADATA_QUALITY_DECLARED: &str = "declared";
|
||||
pub const METADATA_QUALITY_INFERRED: &str = "inferred";
|
||||
@@ -115,22 +103,13 @@ pub const SEMANTIC_VALUE_MIXED: &str = "mixed";
|
||||
pub const SEMANTIC_OPTION_KEYS: &[&str] = &[
|
||||
SEMANTIC_SIGNAL_TYPE,
|
||||
SEMANTIC_SOURCE,
|
||||
SEMANTIC_SOURCE_VERSION,
|
||||
SEMANTIC_PIPELINE,
|
||||
SEMANTIC_TRACE_CONVENTIONS,
|
||||
SEMANTIC_TRACE_HAS_EVENTS,
|
||||
SEMANTIC_TRACE_HAS_LINKS,
|
||||
SEMANTIC_METRIC_TYPE,
|
||||
SEMANTIC_METRIC_UNIT,
|
||||
SEMANTIC_METRIC_TEMPORALITY,
|
||||
SEMANTIC_METRIC_MONOTONIC,
|
||||
SEMANTIC_METRIC_METADATA_QUALITY,
|
||||
SEMANTIC_METRIC_ORIGINAL_NAME,
|
||||
SEMANTIC_LOG_SEVERITY_SCHEME,
|
||||
SEMANTIC_LOG_BODY_FORMAT,
|
||||
SEMANTIC_RESOURCE_ATTRIBUTES_PRESERVED,
|
||||
SEMANTIC_RESOURCE_ATTRIBUTES_DROPPED,
|
||||
SEMANTIC_SCOPE_PRESERVED,
|
||||
];
|
||||
|
||||
/// Returns true if `key` is a recognised semantic table-option key (whitelist).
|
||||
@@ -144,25 +123,25 @@ pub fn is_semantic_option_key(key: &str) -> bool {
|
||||
|
||||
/// Validates a `greptime.semantic.*` option's `value` against its allowed domain.
|
||||
///
|
||||
/// Open-value keys (unit, original_name, version, pipeline, conventions, the
|
||||
/// preserved-attributes list) accept any non-empty string. Closed-domain keys
|
||||
/// accept a fixed set, plus the `unknown` sentinel, plus `mixed` for the keys
|
||||
/// where one long-lived table can legitimately see multiple values. Keys not in
|
||||
/// [`SEMANTIC_OPTION_KEYS`] are rejected.
|
||||
/// Open-value keys (unit, original_name, pipeline, conventions) accept any
|
||||
/// non-empty string. Closed-domain keys accept a fixed set, plus the `unknown`
|
||||
/// sentinel, plus `mixed` for the keys where one long-lived table can
|
||||
/// legitimately see multiple values. Keys not in [`SEMANTIC_OPTION_KEYS`] are
|
||||
/// rejected.
|
||||
pub fn validate_semantic_option(key: &str, value: &str) -> bool {
|
||||
match key {
|
||||
SEMANTIC_SOURCE_VERSION
|
||||
| SEMANTIC_PIPELINE
|
||||
SEMANTIC_PIPELINE
|
||||
| SEMANTIC_METRIC_UNIT
|
||||
| SEMANTIC_METRIC_ORIGINAL_NAME
|
||||
| SEMANTIC_TRACE_CONVENTIONS
|
||||
| SEMANTIC_RESOURCE_ATTRIBUTES_PRESERVED => !value.is_empty(),
|
||||
| SEMANTIC_TRACE_CONVENTIONS => !value.is_empty(),
|
||||
|
||||
SEMANTIC_SIGNAL_TYPE => matches!(value, "trace" | "log" | "metric" | "event" | "unknown"),
|
||||
SEMANTIC_SOURCE => matches!(
|
||||
value,
|
||||
"opentelemetry"
|
||||
| "prometheus"
|
||||
| "influxdb"
|
||||
| "opentsdb"
|
||||
| "elasticsearch"
|
||||
| "loki"
|
||||
| "custom"
|
||||
@@ -185,14 +164,7 @@ pub fn validate_semantic_option(key: &str, value: &str) -> bool {
|
||||
SEMANTIC_METRIC_TEMPORALITY => {
|
||||
matches!(value, "cumulative" | "delta" | "mixed" | "unknown")
|
||||
}
|
||||
SEMANTIC_METRIC_MONOTONIC
|
||||
| SEMANTIC_TRACE_HAS_EVENTS
|
||||
| SEMANTIC_TRACE_HAS_LINKS
|
||||
| SEMANTIC_RESOURCE_ATTRIBUTES_DROPPED
|
||||
| SEMANTIC_SCOPE_PRESERVED => matches!(value, "true" | "false" | "unknown"),
|
||||
SEMANTIC_METRIC_METADATA_QUALITY => matches!(value, "declared" | "inferred" | "unknown"),
|
||||
SEMANTIC_LOG_SEVERITY_SCHEME => matches!(value, "otlp" | "syslog" | "custom" | "unknown"),
|
||||
SEMANTIC_LOG_BODY_FORMAT => matches!(value, "string" | "json" | "mixed" | "unknown"),
|
||||
|
||||
_ => false,
|
||||
}
|
||||
@@ -206,10 +178,18 @@ mod tests {
|
||||
fn test_is_semantic_option_key() {
|
||||
assert!(is_semantic_option_key(SEMANTIC_SIGNAL_TYPE));
|
||||
assert!(is_semantic_option_key(SEMANTIC_METRIC_TYPE));
|
||||
assert!(is_semantic_option_key(SEMANTIC_PIPELINE));
|
||||
|
||||
// Unknown keys under the prefix are not whitelisted.
|
||||
assert!(!is_semantic_option_key("greptime.semantic.future.key"));
|
||||
assert!(!is_semantic_option_key("greptime.semantic.unknown_key"));
|
||||
// Keys cut from the vocabulary are no longer accepted.
|
||||
assert!(!is_semantic_option_key(
|
||||
"greptime.semantic.metric.monotonic"
|
||||
));
|
||||
assert!(!is_semantic_option_key(
|
||||
"greptime.semantic.resource.attributes_dropped"
|
||||
));
|
||||
// Near-misses must not match.
|
||||
assert!(!is_semantic_option_key("greptime.semanticx"));
|
||||
assert!(!is_semantic_option_key("semantic.signal_type"));
|
||||
@@ -227,16 +207,23 @@ mod tests {
|
||||
assert!(validate_semantic_option(SEMANTIC_METRIC_TYPE, "mixed"));
|
||||
assert!(!validate_semantic_option(SEMANTIC_METRIC_TYPE, "bogus"));
|
||||
|
||||
// Booleans, sentinels, open values.
|
||||
assert!(validate_semantic_option(SEMANTIC_TRACE_HAS_EVENTS, "true"));
|
||||
assert!(!validate_semantic_option(SEMANTIC_TRACE_HAS_EVENTS, "yes"));
|
||||
// Sentinels and open values.
|
||||
assert!(validate_semantic_option(
|
||||
SEMANTIC_METRIC_TEMPORALITY,
|
||||
"unknown"
|
||||
));
|
||||
assert!(validate_semantic_option(SEMANTIC_METRIC_UNIT, "By"));
|
||||
assert!(!validate_semantic_option(SEMANTIC_METRIC_UNIT, ""));
|
||||
assert!(validate_semantic_option(
|
||||
SEMANTIC_PIPELINE,
|
||||
"greptime_trace_v1"
|
||||
));
|
||||
|
||||
// A cut key validates to false regardless of value.
|
||||
assert!(!validate_semantic_option(
|
||||
"greptime.semantic.metric.monotonic",
|
||||
"true"
|
||||
));
|
||||
// Unknown key is rejected regardless of value.
|
||||
assert!(!validate_semantic_option(
|
||||
"greptime.semantic.future.key",
|
||||
@@ -265,6 +252,10 @@ mod tests {
|
||||
SEMANTIC_METRIC_METADATA_QUALITY,
|
||||
METADATA_QUALITY_INFERRED
|
||||
));
|
||||
assert!(validate_semantic_option(
|
||||
SEMANTIC_METRIC_METADATA_QUALITY,
|
||||
METADATA_QUALITY_DECLARED
|
||||
));
|
||||
assert!(validate_semantic_option(
|
||||
SEMANTIC_TRACE_CONVENTIONS,
|
||||
SEMANTIC_VALUE_UNKNOWN
|
||||
|
||||
@@ -5094,14 +5094,13 @@ pub async fn test_otlp_metrics_new(store_type: StorageType) {
|
||||
"[[1]]",
|
||||
)
|
||||
.await;
|
||||
// OTLP metric type is declared, so Phase 1 must not stamp `metadata_quality`
|
||||
// here (Phase 2 adds it as `declared`).
|
||||
// OTLP metric type is declared, so Phase 2 stamps `metadata_quality=declared`.
|
||||
validate_data(
|
||||
"otlp_metrics_no_metadata_quality",
|
||||
"otlp_metrics_metadata_quality_declared",
|
||||
&client,
|
||||
"select count(*) from information_schema.tables where table_name = 'claude_code_cost_usage_USD_total' \
|
||||
and create_options like '%metadata_quality%';",
|
||||
"[[0]]",
|
||||
and create_options like '%greptime.semantic.metric.metadata_quality=declared%';",
|
||||
"[[1]]",
|
||||
)
|
||||
.await;
|
||||
|
||||
@@ -5129,7 +5128,7 @@ pub async fn test_otlp_metrics_new(store_type: StorageType) {
|
||||
// on_physical_table = 'greptime_physical_table',
|
||||
// otlp_metric_compat = 'prom'
|
||||
// )
|
||||
let expected = "[[\"claude_code_cost_usage_USD_total\",\"CREATE TABLE IF NOT EXISTS \\\"claude_code_cost_usage_USD_total\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(3) NOT NULL,\\n \\\"greptime_value\\\" DOUBLE NULL,\\n \\\"host_arch\\\" STRING NULL,\\n \\\"job\\\" STRING NULL,\\n \\\"model\\\" STRING NULL,\\n \\\"os_version\\\" STRING NULL,\\n \\\"otel_scope_name\\\" STRING NULL,\\n \\\"otel_scope_schema_url\\\" STRING NULL,\\n \\\"otel_scope_version\\\" STRING NULL,\\n \\\"service_name\\\" STRING NULL,\\n \\\"service_version\\\" STRING NULL,\\n \\\"session_id\\\" STRING NULL,\\n \\\"terminal_type\\\" STRING NULL,\\n \\\"user_id\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\"),\\n PRIMARY KEY (\\\"host_arch\\\", \\\"job\\\", \\\"model\\\", \\\"os_version\\\", \\\"otel_scope_name\\\", \\\"otel_scope_schema_url\\\", \\\"otel_scope_version\\\", \\\"service_name\\\", \\\"service_version\\\", \\\"session_id\\\", \\\"terminal_type\\\", \\\"user_id\\\")\\n)\\n\\nENGINE=metric\\nWITH(\\n \'comment\' = 'Created on insertion',\\n 'greptime.semantic.signal_type' = 'metric',\\n 'greptime.semantic.source' = 'opentelemetry',\\n on_physical_table = 'greptime_physical_table',\\n otlp_metric_compat = 'prom'\\n)\"]]";
|
||||
let expected = "[[\"claude_code_cost_usage_USD_total\",\"CREATE TABLE IF NOT EXISTS \\\"claude_code_cost_usage_USD_total\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(3) NOT NULL,\\n \\\"greptime_value\\\" DOUBLE NULL,\\n \\\"host_arch\\\" STRING NULL,\\n \\\"job\\\" STRING NULL,\\n \\\"model\\\" STRING NULL,\\n \\\"os_version\\\" STRING NULL,\\n \\\"otel_scope_name\\\" STRING NULL,\\n \\\"otel_scope_schema_url\\\" STRING NULL,\\n \\\"otel_scope_version\\\" STRING NULL,\\n \\\"service_name\\\" STRING NULL,\\n \\\"service_version\\\" STRING NULL,\\n \\\"session_id\\\" STRING NULL,\\n \\\"terminal_type\\\" STRING NULL,\\n \\\"user_id\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\"),\\n PRIMARY KEY (\\\"host_arch\\\", \\\"job\\\", \\\"model\\\", \\\"os_version\\\", \\\"otel_scope_name\\\", \\\"otel_scope_schema_url\\\", \\\"otel_scope_version\\\", \\\"service_name\\\", \\\"service_version\\\", \\\"session_id\\\", \\\"terminal_type\\\", \\\"user_id\\\")\\n)\\n\\nENGINE=metric\\nWITH(\\n 'comment' = 'Created on insertion',\\n 'greptime.semantic.metric.metadata_quality' = 'declared',\\n 'greptime.semantic.metric.original_name' = 'claude_code.cost.usage',\\n 'greptime.semantic.metric.temporality' = 'delta',\\n 'greptime.semantic.metric.type' = 'counter',\\n 'greptime.semantic.metric.unit' = 'USD',\\n 'greptime.semantic.signal_type' = 'metric',\\n 'greptime.semantic.source' = 'opentelemetry',\\n on_physical_table = 'greptime_physical_table',\\n otlp_metric_compat = 'prom'\\n)\"]]";
|
||||
validate_data(
|
||||
"otlp_metrics_all_show_create_table",
|
||||
&client,
|
||||
@@ -5202,7 +5201,7 @@ pub async fn test_otlp_metrics_new(store_type: StorageType) {
|
||||
// on_physical_table = 'greptime_physical_table',
|
||||
// otlp_metric_compat = 'prom'
|
||||
// )
|
||||
let expected = "[[\"claude_code_cost_usage_USD_total\",\"CREATE TABLE IF NOT EXISTS \\\"claude_code_cost_usage_USD_total\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(3) NOT NULL,\\n \\\"greptime_value\\\" DOUBLE NULL,\\n \\\"job\\\" STRING NULL,\\n \\\"model\\\" STRING NULL,\\n \\\"os_type\\\" STRING NULL,\\n \\\"os_version\\\" STRING NULL,\\n \\\"service_name\\\" STRING NULL,\\n \\\"service_version\\\" STRING NULL,\\n \\\"session_id\\\" STRING NULL,\\n \\\"terminal_type\\\" STRING NULL,\\n \\\"user_id\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\"),\\n PRIMARY KEY (\\\"job\\\", \\\"model\\\", \\\"os_type\\\", \\\"os_version\\\", \\\"service_name\\\", \\\"service_version\\\", \\\"session_id\\\", \\\"terminal_type\\\", \\\"user_id\\\")\\n)\\n\\nENGINE=metric\\nWITH(\\n 'comment' = 'Created on insertion',\\n 'greptime.semantic.signal_type' = 'metric',\\n 'greptime.semantic.source' = 'opentelemetry',\\n on_physical_table = 'greptime_physical_table',\\n otlp_metric_compat = 'prom'\\n)\"]]";
|
||||
let expected = "[[\"claude_code_cost_usage_USD_total\",\"CREATE TABLE IF NOT EXISTS \\\"claude_code_cost_usage_USD_total\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(3) NOT NULL,\\n \\\"greptime_value\\\" DOUBLE NULL,\\n \\\"job\\\" STRING NULL,\\n \\\"model\\\" STRING NULL,\\n \\\"os_type\\\" STRING NULL,\\n \\\"os_version\\\" STRING NULL,\\n \\\"service_name\\\" STRING NULL,\\n \\\"service_version\\\" STRING NULL,\\n \\\"session_id\\\" STRING NULL,\\n \\\"terminal_type\\\" STRING NULL,\\n \\\"user_id\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\"),\\n PRIMARY KEY (\\\"job\\\", \\\"model\\\", \\\"os_type\\\", \\\"os_version\\\", \\\"service_name\\\", \\\"service_version\\\", \\\"session_id\\\", \\\"terminal_type\\\", \\\"user_id\\\")\\n)\\n\\nENGINE=metric\\nWITH(\\n 'comment' = 'Created on insertion',\\n 'greptime.semantic.metric.metadata_quality' = 'declared',\\n 'greptime.semantic.metric.original_name' = 'claude_code.cost.usage',\\n 'greptime.semantic.metric.temporality' = 'delta',\\n 'greptime.semantic.metric.type' = 'counter',\\n 'greptime.semantic.metric.unit' = 'USD',\\n 'greptime.semantic.signal_type' = 'metric',\\n 'greptime.semantic.source' = 'opentelemetry',\\n on_physical_table = 'greptime_physical_table',\\n otlp_metric_compat = 'prom'\\n)\"]]";
|
||||
validate_data(
|
||||
"otlp_metrics_show_create_table",
|
||||
&client,
|
||||
@@ -5266,7 +5265,7 @@ pub async fn test_otlp_metrics_new(store_type: StorageType) {
|
||||
// on_physical_table = 'greptime_physical_table',
|
||||
// otlp_metric_compat = 'prom'
|
||||
// )
|
||||
let expected = "[[\"claude_code_cost_usage_USD_total\",\"CREATE TABLE IF NOT EXISTS \\\"claude_code_cost_usage_USD_total\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(3) NOT NULL,\\n \\\"greptime_value\\\" DOUBLE NULL,\\n \\\"job\\\" STRING NULL,\\n \\\"model\\\" STRING NULL,\\n \\\"service_name\\\" STRING NULL,\\n \\\"service_version\\\" STRING NULL,\\n \\\"session_id\\\" STRING NULL,\\n \\\"terminal_type\\\" STRING NULL,\\n \\\"user_id\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\"),\\n PRIMARY KEY (\\\"job\\\", \\\"model\\\", \\\"service_name\\\", \\\"service_version\\\", \\\"session_id\\\", \\\"terminal_type\\\", \\\"user_id\\\")\\n)\\n\\nENGINE=metric\\nWITH(\\n 'comment' = 'Created on insertion',\\n 'greptime.semantic.signal_type' = 'metric',\\n 'greptime.semantic.source' = 'opentelemetry',\\n on_physical_table = 'greptime_physical_table',\\n otlp_metric_compat = 'prom'\\n)\"]]";
|
||||
let expected = "[[\"claude_code_cost_usage_USD_total\",\"CREATE TABLE IF NOT EXISTS \\\"claude_code_cost_usage_USD_total\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(3) NOT NULL,\\n \\\"greptime_value\\\" DOUBLE NULL,\\n \\\"job\\\" STRING NULL,\\n \\\"model\\\" STRING NULL,\\n \\\"service_name\\\" STRING NULL,\\n \\\"service_version\\\" STRING NULL,\\n \\\"session_id\\\" STRING NULL,\\n \\\"terminal_type\\\" STRING NULL,\\n \\\"user_id\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\"),\\n PRIMARY KEY (\\\"job\\\", \\\"model\\\", \\\"service_name\\\", \\\"service_version\\\", \\\"session_id\\\", \\\"terminal_type\\\", \\\"user_id\\\")\\n)\\n\\nENGINE=metric\\nWITH(\\n 'comment' = 'Created on insertion',\\n 'greptime.semantic.metric.metadata_quality' = 'declared',\\n 'greptime.semantic.metric.original_name' = 'claude_code.cost.usage',\\n 'greptime.semantic.metric.temporality' = 'delta',\\n 'greptime.semantic.metric.type' = 'counter',\\n 'greptime.semantic.metric.unit' = 'USD',\\n 'greptime.semantic.signal_type' = 'metric',\\n 'greptime.semantic.source' = 'opentelemetry',\\n on_physical_table = 'greptime_physical_table',\\n otlp_metric_compat = 'prom'\\n)\"]]";
|
||||
validate_data(
|
||||
"otlp_metrics_show_create_table_none",
|
||||
&client,
|
||||
@@ -5581,14 +5580,12 @@ pub async fn test_otlp_traces_v1(store_type: StorageType) {
|
||||
"select count(*) from information_schema.tables where table_name = 'mytable' \
|
||||
and create_options like '%greptime.semantic.signal_type=trace%' \
|
||||
and create_options like '%greptime.semantic.source=opentelemetry%' \
|
||||
and create_options like '%greptime.semantic.pipeline=greptime_trace_v1%' \
|
||||
and create_options like '%greptime.semantic.trace.has_events=true%' \
|
||||
and create_options like '%greptime.semantic.trace.has_links=true%';",
|
||||
and create_options like '%greptime.semantic.pipeline=greptime_trace_v1%';",
|
||||
"[[1]]",
|
||||
)
|
||||
.await;
|
||||
|
||||
let expected_ddl = r#"[["mytable","CREATE TABLE IF NOT EXISTS \"mytable\" (\n \"timestamp\" TIMESTAMP(9) NOT NULL,\n \"timestamp_end\" TIMESTAMP(9) NULL,\n \"duration_nano\" BIGINT UNSIGNED NULL,\n \"parent_span_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"trace_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_id\" STRING NULL,\n \"span_kind\" STRING NULL,\n \"span_name\" STRING NULL,\n \"span_status_code\" STRING NULL,\n \"span_status_message\" STRING NULL,\n \"trace_state\" STRING NULL,\n \"scope_name\" STRING NULL,\n \"scope_version\" STRING NULL,\n \"service_name\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_attributes.net.peer.ip\" STRING NULL,\n \"span_attributes.peer.service\" STRING NULL,\n \"span_events\" JSON NULL,\n \"span_links\" JSON NULL,\n TIME INDEX (\"timestamp\"),\n PRIMARY KEY (\"service_name\")\n)\nPARTITION ON COLUMNS (\"trace_id\") (\n trace_id < '1',\n trace_id >= '1' AND trace_id < '2',\n trace_id >= '2' AND trace_id < '3',\n trace_id >= '3' AND trace_id < '4',\n trace_id >= '4' AND trace_id < '5',\n trace_id >= '5' AND trace_id < '6',\n trace_id >= '6' AND trace_id < '7',\n trace_id >= '7' AND trace_id < '8',\n trace_id >= '8' AND trace_id < '9',\n trace_id >= '9' AND trace_id < 'a',\n trace_id >= 'a' AND trace_id < 'b',\n trace_id >= 'b' AND trace_id < 'c',\n trace_id >= 'c' AND trace_id < 'd',\n trace_id >= 'd' AND trace_id < 'e',\n trace_id >= 'e' AND trace_id < 'f',\n trace_id >= 'f'\n)\nENGINE=mito\nWITH(\n 'comment' = 'Created on insertion',\n append_mode = 'true',\n 'greptime.semantic.pipeline' = 'greptime_trace_v1',\n 'greptime.semantic.signal_type' = 'trace',\n 'greptime.semantic.source' = 'opentelemetry',\n 'greptime.semantic.trace.conventions' = 'unknown',\n 'greptime.semantic.trace.has_events' = 'true',\n 'greptime.semantic.trace.has_links' = 'true',\n table_data_model = 'greptime_trace_v1'\n)"]]"#;
|
||||
let expected_ddl = r#"[["mytable","CREATE TABLE IF NOT EXISTS \"mytable\" (\n \"timestamp\" TIMESTAMP(9) NOT NULL,\n \"timestamp_end\" TIMESTAMP(9) NULL,\n \"duration_nano\" BIGINT UNSIGNED NULL,\n \"parent_span_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"trace_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_id\" STRING NULL,\n \"span_kind\" STRING NULL,\n \"span_name\" STRING NULL,\n \"span_status_code\" STRING NULL,\n \"span_status_message\" STRING NULL,\n \"trace_state\" STRING NULL,\n \"scope_name\" STRING NULL,\n \"scope_version\" STRING NULL,\n \"service_name\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_attributes.net.peer.ip\" STRING NULL,\n \"span_attributes.peer.service\" STRING NULL,\n \"span_events\" JSON NULL,\n \"span_links\" JSON NULL,\n TIME INDEX (\"timestamp\"),\n PRIMARY KEY (\"service_name\")\n)\nPARTITION ON COLUMNS (\"trace_id\") (\n trace_id < '1',\n trace_id >= '1' AND trace_id < '2',\n trace_id >= '2' AND trace_id < '3',\n trace_id >= '3' AND trace_id < '4',\n trace_id >= '4' AND trace_id < '5',\n trace_id >= '5' AND trace_id < '6',\n trace_id >= '6' AND trace_id < '7',\n trace_id >= '7' AND trace_id < '8',\n trace_id >= '8' AND trace_id < '9',\n trace_id >= '9' AND trace_id < 'a',\n trace_id >= 'a' AND trace_id < 'b',\n trace_id >= 'b' AND trace_id < 'c',\n trace_id >= 'c' AND trace_id < 'd',\n trace_id >= 'd' AND trace_id < 'e',\n trace_id >= 'e' AND trace_id < 'f',\n trace_id >= 'f'\n)\nENGINE=mito\nWITH(\n 'comment' = 'Created on insertion',\n append_mode = 'true',\n 'greptime.semantic.pipeline' = 'greptime_trace_v1',\n 'greptime.semantic.signal_type' = 'trace',\n 'greptime.semantic.source' = 'opentelemetry',\n 'greptime.semantic.trace.conventions' = 'https://opentelemetry.io/schemas/1.4.0',\n table_data_model = 'greptime_trace_v1'\n)"]]"#;
|
||||
validate_data(
|
||||
"otlp_traces",
|
||||
&client,
|
||||
@@ -5641,7 +5638,7 @@ pub async fn test_otlp_traces_v1(store_type: StorageType) {
|
||||
)
|
||||
.await;
|
||||
assert_eq!(StatusCode::OK, res.status());
|
||||
let expected_ddl = r#"[["trace_table_part1","CREATE TABLE IF NOT EXISTS \"trace_table_part1\" (\n \"timestamp\" TIMESTAMP(9) NOT NULL,\n \"timestamp_end\" TIMESTAMP(9) NULL,\n \"duration_nano\" BIGINT UNSIGNED NULL,\n \"parent_span_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"trace_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_id\" STRING NULL,\n \"span_kind\" STRING NULL,\n \"span_name\" STRING NULL,\n \"span_status_code\" STRING NULL,\n \"span_status_message\" STRING NULL,\n \"trace_state\" STRING NULL,\n \"scope_name\" STRING NULL,\n \"scope_version\" STRING NULL,\n \"service_name\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_attributes.net.peer.ip\" STRING NULL,\n \"span_attributes.peer.service\" STRING NULL,\n \"span_events\" JSON NULL,\n \"span_links\" JSON NULL,\n TIME INDEX (\"timestamp\"),\n PRIMARY KEY (\"service_name\")\n)\n\nENGINE=mito\nWITH(\n 'comment' = 'Created on insertion',\n append_mode = 'true',\n 'greptime.semantic.pipeline' = 'greptime_trace_v1',\n 'greptime.semantic.signal_type' = 'trace',\n 'greptime.semantic.source' = 'opentelemetry',\n 'greptime.semantic.trace.conventions' = 'unknown',\n 'greptime.semantic.trace.has_events' = 'true',\n 'greptime.semantic.trace.has_links' = 'true',\n table_data_model = 'greptime_trace_v1'\n)"]]"#;
|
||||
let expected_ddl = r#"[["trace_table_part1","CREATE TABLE IF NOT EXISTS \"trace_table_part1\" (\n \"timestamp\" TIMESTAMP(9) NOT NULL,\n \"timestamp_end\" TIMESTAMP(9) NULL,\n \"duration_nano\" BIGINT UNSIGNED NULL,\n \"parent_span_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"trace_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_id\" STRING NULL,\n \"span_kind\" STRING NULL,\n \"span_name\" STRING NULL,\n \"span_status_code\" STRING NULL,\n \"span_status_message\" STRING NULL,\n \"trace_state\" STRING NULL,\n \"scope_name\" STRING NULL,\n \"scope_version\" STRING NULL,\n \"service_name\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_attributes.net.peer.ip\" STRING NULL,\n \"span_attributes.peer.service\" STRING NULL,\n \"span_events\" JSON NULL,\n \"span_links\" JSON NULL,\n TIME INDEX (\"timestamp\"),\n PRIMARY KEY (\"service_name\")\n)\n\nENGINE=mito\nWITH(\n 'comment' = 'Created on insertion',\n append_mode = 'true',\n 'greptime.semantic.pipeline' = 'greptime_trace_v1',\n 'greptime.semantic.signal_type' = 'trace',\n 'greptime.semantic.source' = 'opentelemetry',\n 'greptime.semantic.trace.conventions' = 'https://opentelemetry.io/schemas/1.4.0',\n table_data_model = 'greptime_trace_v1'\n)"]]"#;
|
||||
validate_data(
|
||||
"otlp_traces",
|
||||
&client,
|
||||
@@ -5678,7 +5675,7 @@ pub async fn test_otlp_traces_v1(store_type: StorageType) {
|
||||
)
|
||||
.await;
|
||||
assert_eq!(StatusCode::OK, res.status());
|
||||
let expected_ddl = r#"[["trace_table_part4","CREATE TABLE IF NOT EXISTS \"trace_table_part4\" (\n \"timestamp\" TIMESTAMP(9) NOT NULL,\n \"timestamp_end\" TIMESTAMP(9) NULL,\n \"duration_nano\" BIGINT UNSIGNED NULL,\n \"parent_span_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"trace_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_id\" STRING NULL,\n \"span_kind\" STRING NULL,\n \"span_name\" STRING NULL,\n \"span_status_code\" STRING NULL,\n \"span_status_message\" STRING NULL,\n \"trace_state\" STRING NULL,\n \"scope_name\" STRING NULL,\n \"scope_version\" STRING NULL,\n \"service_name\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_attributes.net.peer.ip\" STRING NULL,\n \"span_attributes.peer.service\" STRING NULL,\n \"span_events\" JSON NULL,\n \"span_links\" JSON NULL,\n TIME INDEX (\"timestamp\"),\n PRIMARY KEY (\"service_name\")\n)\nPARTITION ON COLUMNS (\"trace_id\") (\n trace_id < '4',\n trace_id >= '4' AND trace_id < '8',\n trace_id >= '8' AND trace_id < 'c',\n trace_id >= 'c'\n)\nENGINE=mito\nWITH(\n 'comment' = 'Created on insertion',\n append_mode = 'true',\n 'greptime.semantic.pipeline' = 'greptime_trace_v1',\n 'greptime.semantic.signal_type' = 'trace',\n 'greptime.semantic.source' = 'opentelemetry',\n 'greptime.semantic.trace.conventions' = 'unknown',\n 'greptime.semantic.trace.has_events' = 'true',\n 'greptime.semantic.trace.has_links' = 'true',\n table_data_model = 'greptime_trace_v1'\n)"]]"#;
|
||||
let expected_ddl = r#"[["trace_table_part4","CREATE TABLE IF NOT EXISTS \"trace_table_part4\" (\n \"timestamp\" TIMESTAMP(9) NOT NULL,\n \"timestamp_end\" TIMESTAMP(9) NULL,\n \"duration_nano\" BIGINT UNSIGNED NULL,\n \"parent_span_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"trace_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_id\" STRING NULL,\n \"span_kind\" STRING NULL,\n \"span_name\" STRING NULL,\n \"span_status_code\" STRING NULL,\n \"span_status_message\" STRING NULL,\n \"trace_state\" STRING NULL,\n \"scope_name\" STRING NULL,\n \"scope_version\" STRING NULL,\n \"service_name\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_attributes.net.peer.ip\" STRING NULL,\n \"span_attributes.peer.service\" STRING NULL,\n \"span_events\" JSON NULL,\n \"span_links\" JSON NULL,\n TIME INDEX (\"timestamp\"),\n PRIMARY KEY (\"service_name\")\n)\nPARTITION ON COLUMNS (\"trace_id\") (\n trace_id < '4',\n trace_id >= '4' AND trace_id < '8',\n trace_id >= '8' AND trace_id < 'c',\n trace_id >= 'c'\n)\nENGINE=mito\nWITH(\n 'comment' = 'Created on insertion',\n append_mode = 'true',\n 'greptime.semantic.pipeline' = 'greptime_trace_v1',\n 'greptime.semantic.signal_type' = 'trace',\n 'greptime.semantic.source' = 'opentelemetry',\n 'greptime.semantic.trace.conventions' = 'https://opentelemetry.io/schemas/1.4.0',\n table_data_model = 'greptime_trace_v1'\n)"]]"#;
|
||||
validate_data(
|
||||
"otlp_traces",
|
||||
&client,
|
||||
@@ -5715,7 +5712,7 @@ pub async fn test_otlp_traces_v1(store_type: StorageType) {
|
||||
)
|
||||
.await;
|
||||
assert_eq!(StatusCode::OK, res.status());
|
||||
let expected_ddl = r#"[["trace_table_part32","CREATE TABLE IF NOT EXISTS \"trace_table_part32\" (\n \"timestamp\" TIMESTAMP(9) NOT NULL,\n \"timestamp_end\" TIMESTAMP(9) NULL,\n \"duration_nano\" BIGINT UNSIGNED NULL,\n \"parent_span_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"trace_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_id\" STRING NULL,\n \"span_kind\" STRING NULL,\n \"span_name\" STRING NULL,\n \"span_status_code\" STRING NULL,\n \"span_status_message\" STRING NULL,\n \"trace_state\" STRING NULL,\n \"scope_name\" STRING NULL,\n \"scope_version\" STRING NULL,\n \"service_name\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_attributes.net.peer.ip\" STRING NULL,\n \"span_attributes.peer.service\" STRING NULL,\n \"span_events\" JSON NULL,\n \"span_links\" JSON NULL,\n TIME INDEX (\"timestamp\"),\n PRIMARY KEY (\"service_name\")\n)\nPARTITION ON COLUMNS (\"trace_id\") (\n trace_id < '08',\n trace_id >= '08' AND trace_id < '10',\n trace_id >= '10' AND trace_id < '18',\n trace_id >= '18' AND trace_id < '20',\n trace_id >= '20' AND trace_id < '28',\n trace_id >= '28' AND trace_id < '30',\n trace_id >= '30' AND trace_id < '38',\n trace_id >= '38' AND trace_id < '40',\n trace_id >= '40' AND trace_id < '48',\n trace_id >= '48' AND trace_id < '50',\n trace_id >= '50' AND trace_id < '58',\n trace_id >= '58' AND trace_id < '60',\n trace_id >= '60' AND trace_id < '68',\n trace_id >= '68' AND trace_id < '70',\n trace_id >= '70' AND trace_id < '78',\n trace_id >= '78' AND trace_id < '80',\n trace_id >= '80' AND trace_id < '88',\n trace_id >= '88' AND trace_id < '90',\n trace_id >= '90' AND trace_id < '98',\n trace_id >= '98' AND trace_id < 'a0',\n trace_id >= 'a0' AND trace_id < 'a8',\n trace_id >= 'a8' AND trace_id < 'b0',\n trace_id >= 'b0' AND trace_id < 'b8',\n trace_id >= 'b8' AND trace_id < 'c0',\n trace_id >= 'c0' AND trace_id < 'c8',\n trace_id >= 'c8' AND trace_id < 'd0',\n trace_id >= 'd0' AND trace_id < 'd8',\n trace_id >= 'd8' AND trace_id < 'e0',\n trace_id >= 'e0' AND trace_id < 'e8',\n trace_id >= 'e8' AND trace_id < 'f0',\n trace_id >= 'f0' AND trace_id < 'f8',\n trace_id >= 'f8'\n)\nENGINE=mito\nWITH(\n 'comment' = 'Created on insertion',\n append_mode = 'true',\n 'greptime.semantic.pipeline' = 'greptime_trace_v1',\n 'greptime.semantic.signal_type' = 'trace',\n 'greptime.semantic.source' = 'opentelemetry',\n 'greptime.semantic.trace.conventions' = 'unknown',\n 'greptime.semantic.trace.has_events' = 'true',\n 'greptime.semantic.trace.has_links' = 'true',\n table_data_model = 'greptime_trace_v1'\n)"]]"#;
|
||||
let expected_ddl = r#"[["trace_table_part32","CREATE TABLE IF NOT EXISTS \"trace_table_part32\" (\n \"timestamp\" TIMESTAMP(9) NOT NULL,\n \"timestamp_end\" TIMESTAMP(9) NULL,\n \"duration_nano\" BIGINT UNSIGNED NULL,\n \"parent_span_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"trace_id\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_id\" STRING NULL,\n \"span_kind\" STRING NULL,\n \"span_name\" STRING NULL,\n \"span_status_code\" STRING NULL,\n \"span_status_message\" STRING NULL,\n \"trace_state\" STRING NULL,\n \"scope_name\" STRING NULL,\n \"scope_version\" STRING NULL,\n \"service_name\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\n \"span_attributes.net.peer.ip\" STRING NULL,\n \"span_attributes.peer.service\" STRING NULL,\n \"span_events\" JSON NULL,\n \"span_links\" JSON NULL,\n TIME INDEX (\"timestamp\"),\n PRIMARY KEY (\"service_name\")\n)\nPARTITION ON COLUMNS (\"trace_id\") (\n trace_id < '08',\n trace_id >= '08' AND trace_id < '10',\n trace_id >= '10' AND trace_id < '18',\n trace_id >= '18' AND trace_id < '20',\n trace_id >= '20' AND trace_id < '28',\n trace_id >= '28' AND trace_id < '30',\n trace_id >= '30' AND trace_id < '38',\n trace_id >= '38' AND trace_id < '40',\n trace_id >= '40' AND trace_id < '48',\n trace_id >= '48' AND trace_id < '50',\n trace_id >= '50' AND trace_id < '58',\n trace_id >= '58' AND trace_id < '60',\n trace_id >= '60' AND trace_id < '68',\n trace_id >= '68' AND trace_id < '70',\n trace_id >= '70' AND trace_id < '78',\n trace_id >= '78' AND trace_id < '80',\n trace_id >= '80' AND trace_id < '88',\n trace_id >= '88' AND trace_id < '90',\n trace_id >= '90' AND trace_id < '98',\n trace_id >= '98' AND trace_id < 'a0',\n trace_id >= 'a0' AND trace_id < 'a8',\n trace_id >= 'a8' AND trace_id < 'b0',\n trace_id >= 'b0' AND trace_id < 'b8',\n trace_id >= 'b8' AND trace_id < 'c0',\n trace_id >= 'c0' AND trace_id < 'c8',\n trace_id >= 'c8' AND trace_id < 'd0',\n trace_id >= 'd0' AND trace_id < 'd8',\n trace_id >= 'd8' AND trace_id < 'e0',\n trace_id >= 'e0' AND trace_id < 'e8',\n trace_id >= 'e8' AND trace_id < 'f0',\n trace_id >= 'f0' AND trace_id < 'f8',\n trace_id >= 'f8'\n)\nENGINE=mito\nWITH(\n 'comment' = 'Created on insertion',\n append_mode = 'true',\n 'greptime.semantic.pipeline' = 'greptime_trace_v1',\n 'greptime.semantic.signal_type' = 'trace',\n 'greptime.semantic.source' = 'opentelemetry',\n 'greptime.semantic.trace.conventions' = 'https://opentelemetry.io/schemas/1.4.0',\n table_data_model = 'greptime_trace_v1'\n)"]]"#;
|
||||
validate_data(
|
||||
"otlp_traces",
|
||||
&client,
|
||||
@@ -6546,7 +6543,7 @@ pub async fn test_loki_pb_logs(store_type: StorageType) {
|
||||
assert_eq!(StatusCode::OK, res.status());
|
||||
|
||||
// test schema
|
||||
let expected = "[[\"loki_table_name\",\"CREATE TABLE IF NOT EXISTS \\\"loki_table_name\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(9) NOT NULL,\\n \\\"line\\\" STRING NULL,\\n \\\"structured_metadata\\\" JSON NULL,\\n \\\"service\\\" STRING NULL,\\n \\\"source\\\" STRING NULL,\\n \\\"wadaxi\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\"),\\n PRIMARY KEY (\\\"service\\\", \\\"source\\\", \\\"wadaxi\\\")\\n)\\n\\nENGINE=mito\\nWITH(\\n \'comment\' = 'Created on insertion',\\n append_mode = 'true'\\n)\"]]";
|
||||
let expected = "[[\"loki_table_name\",\"CREATE TABLE IF NOT EXISTS \\\"loki_table_name\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(9) NOT NULL,\\n \\\"line\\\" STRING NULL,\\n \\\"structured_metadata\\\" JSON NULL,\\n \\\"service\\\" STRING NULL,\\n \\\"source\\\" STRING NULL,\\n \\\"wadaxi\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\"),\\n PRIMARY KEY (\\\"service\\\", \\\"source\\\", \\\"wadaxi\\\")\\n)\\n\\nENGINE=mito\\nWITH(\\n 'comment' = 'Created on insertion',\\n append_mode = 'true',\\n 'greptime.semantic.signal_type' = 'log',\\n 'greptime.semantic.source' = 'loki'\\n)\"]]";
|
||||
validate_data(
|
||||
"loki_pb_schema",
|
||||
&client,
|
||||
@@ -6681,7 +6678,7 @@ processors:
|
||||
// 'comment' = 'Created on insertion',
|
||||
// append_mode = 'true'
|
||||
// )
|
||||
let expected = "[[\"loki_table_name\",\"CREATE TABLE IF NOT EXISTS \\\"loki_table_name\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(3) NOT NULL,\\n \\\"loki_label_service\\\" STRING NULL,\\n \\\"loki_label_source\\\" STRING NULL,\\n \\\"loki_label_wadaxi\\\" STRING NULL,\\n \\\"loki_line\\\" STRING NULL,\\n \\\"loki_metadata_key1\\\" STRING NULL,\\n \\\"loki_metadata_key2\\\" STRING NULL,\\n \\\"loki_metadata_key3\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\")\\n)\\n\\nENGINE=mito\\nWITH(\\n 'comment' = 'Created on insertion',\\n append_mode = 'true'\\n)\"]]";
|
||||
let expected = "[[\"loki_table_name\",\"CREATE TABLE IF NOT EXISTS \\\"loki_table_name\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(3) NOT NULL,\\n \\\"loki_label_service\\\" STRING NULL,\\n \\\"loki_label_source\\\" STRING NULL,\\n \\\"loki_label_wadaxi\\\" STRING NULL,\\n \\\"loki_line\\\" STRING NULL,\\n \\\"loki_metadata_key1\\\" STRING NULL,\\n \\\"loki_metadata_key2\\\" STRING NULL,\\n \\\"loki_metadata_key3\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\")\\n)\\n\\nENGINE=mito\\nWITH(\\n 'comment' = 'Created on insertion',\\n append_mode = 'true',\\n 'greptime.semantic.signal_type' = 'log',\\n 'greptime.semantic.source' = 'loki'\\n)\"]]";
|
||||
validate_data(
|
||||
"loki_pb_schema",
|
||||
&client,
|
||||
@@ -6751,7 +6748,7 @@ pub async fn test_loki_json_logs(store_type: StorageType) {
|
||||
assert_eq!(StatusCode::OK, res.status());
|
||||
|
||||
// test schema
|
||||
let expected = "[[\"loki_table_name\",\"CREATE TABLE IF NOT EXISTS \\\"loki_table_name\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(9) NOT NULL,\\n \\\"line\\\" STRING NULL,\\n \\\"structured_metadata\\\" JSON NULL,\\n \\\"sender\\\" STRING NULL,\\n \\\"source\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\"),\\n PRIMARY KEY (\\\"sender\\\", \\\"source\\\")\\n)\\n\\nENGINE=mito\\nWITH(\\n \'comment\' = 'Created on insertion',\\n append_mode = 'true'\\n)\"]]";
|
||||
let expected = "[[\"loki_table_name\",\"CREATE TABLE IF NOT EXISTS \\\"loki_table_name\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(9) NOT NULL,\\n \\\"line\\\" STRING NULL,\\n \\\"structured_metadata\\\" JSON NULL,\\n \\\"sender\\\" STRING NULL,\\n \\\"source\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\"),\\n PRIMARY KEY (\\\"sender\\\", \\\"source\\\")\\n)\\n\\nENGINE=mito\\nWITH(\\n 'comment' = 'Created on insertion',\\n append_mode = 'true',\\n 'greptime.semantic.signal_type' = 'log',\\n 'greptime.semantic.source' = 'loki'\\n)\"]]";
|
||||
validate_data(
|
||||
"loki_json_schema",
|
||||
&client,
|
||||
@@ -6855,7 +6852,7 @@ processors:
|
||||
// 'comment' = 'Created on insertion',
|
||||
// append_mode = 'true'
|
||||
// )
|
||||
let expected = "[[\"loki_table_name\",\"CREATE TABLE IF NOT EXISTS \\\"loki_table_name\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(3) NOT NULL,\\n \\\"loki_label_sender\\\" STRING NULL,\\n \\\"loki_label_source\\\" STRING NULL,\\n \\\"loki_line\\\" STRING NULL,\\n \\\"loki_metadata_key1\\\" STRING NULL,\\n \\\"loki_metadata_key2\\\" STRING NULL,\\n \\\"loki_metadata_key3\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\")\\n)\\n\\nENGINE=mito\\nWITH(\\n 'comment' = 'Created on insertion',\\n append_mode = 'true'\\n)\"]]";
|
||||
let expected = "[[\"loki_table_name\",\"CREATE TABLE IF NOT EXISTS \\\"loki_table_name\\\" (\\n \\\"greptime_timestamp\\\" TIMESTAMP(3) NOT NULL,\\n \\\"loki_label_sender\\\" STRING NULL,\\n \\\"loki_label_source\\\" STRING NULL,\\n \\\"loki_line\\\" STRING NULL,\\n \\\"loki_metadata_key1\\\" STRING NULL,\\n \\\"loki_metadata_key2\\\" STRING NULL,\\n \\\"loki_metadata_key3\\\" STRING NULL,\\n TIME INDEX (\\\"greptime_timestamp\\\")\\n)\\n\\nENGINE=mito\\nWITH(\\n 'comment' = 'Created on insertion',\\n append_mode = 'true',\\n 'greptime.semantic.signal_type' = 'log',\\n 'greptime.semantic.source' = 'loki'\\n)\"]]";
|
||||
validate_data(
|
||||
"loki_json_schema",
|
||||
&client,
|
||||
@@ -7824,7 +7821,7 @@ pub async fn test_jaeger_query_api_for_trace_v1(store_type: StorageType) {
|
||||
.await;
|
||||
assert_eq!(StatusCode::OK, res.status());
|
||||
|
||||
let trace_table_sql = "[[\"mytable\",\"CREATE TABLE IF NOT EXISTS \\\"mytable\\\" (\\n \\\"timestamp\\\" TIMESTAMP(9) NOT NULL,\\n \\\"timestamp_end\\\" TIMESTAMP(9) NULL,\\n \\\"duration_nano\\\" BIGINT UNSIGNED NULL,\\n \\\"parent_span_id\\\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\\n \\\"trace_id\\\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\\n \\\"span_id\\\" STRING NULL,\\n \\\"span_kind\\\" STRING NULL,\\n \\\"span_name\\\" STRING NULL,\\n \\\"span_status_code\\\" STRING NULL,\\n \\\"span_status_message\\\" STRING NULL,\\n \\\"trace_state\\\" STRING NULL,\\n \\\"scope_name\\\" STRING NULL,\\n \\\"scope_version\\\" STRING NULL,\\n \\\"service_name\\\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\\n \\\"span_attributes.operation.type\\\" STRING NULL,\\n \\\"span_attributes.net.peer.ip\\\" STRING NULL,\\n \\\"span_attributes.peer.service\\\" STRING NULL,\\n \\\"span_events\\\" JSON NULL,\\n \\\"span_links\\\" JSON NULL,\\n TIME INDEX (\\\"timestamp\\\"),\\n PRIMARY KEY (\\\"service_name\\\")\\n)\\nPARTITION ON COLUMNS (\\\"trace_id\\\") (\\n trace_id < '1',\\n trace_id >= '1' AND trace_id < '2',\\n trace_id >= '2' AND trace_id < '3',\\n trace_id >= '3' AND trace_id < '4',\\n trace_id >= '4' AND trace_id < '5',\\n trace_id >= '5' AND trace_id < '6',\\n trace_id >= '6' AND trace_id < '7',\\n trace_id >= '7' AND trace_id < '8',\\n trace_id >= '8' AND trace_id < '9',\\n trace_id >= '9' AND trace_id < 'a',\\n trace_id >= 'a' AND trace_id < 'b',\\n trace_id >= 'b' AND trace_id < 'c',\\n trace_id >= 'c' AND trace_id < 'd',\\n trace_id >= 'd' AND trace_id < 'e',\\n trace_id >= 'e' AND trace_id < 'f',\\n trace_id >= 'f'\\n)\\nENGINE=mito\\nWITH(\\n 'comment' = 'Created on insertion',\\n append_mode = 'true',\\n 'greptime.semantic.pipeline' = 'greptime_trace_v1',\\n 'greptime.semantic.signal_type' = 'trace',\\n 'greptime.semantic.source' = 'opentelemetry',\\n 'greptime.semantic.trace.conventions' = 'unknown',\\n 'greptime.semantic.trace.has_events' = 'true',\\n 'greptime.semantic.trace.has_links' = 'true',\\n table_data_model = 'greptime_trace_v1',\\n ttl = '7days'\\n)\"]]";
|
||||
let trace_table_sql = "[[\"mytable\",\"CREATE TABLE IF NOT EXISTS \\\"mytable\\\" (\\n \\\"timestamp\\\" TIMESTAMP(9) NOT NULL,\\n \\\"timestamp_end\\\" TIMESTAMP(9) NULL,\\n \\\"duration_nano\\\" BIGINT UNSIGNED NULL,\\n \\\"parent_span_id\\\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\\n \\\"trace_id\\\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\\n \\\"span_id\\\" STRING NULL,\\n \\\"span_kind\\\" STRING NULL,\\n \\\"span_name\\\" STRING NULL,\\n \\\"span_status_code\\\" STRING NULL,\\n \\\"span_status_message\\\" STRING NULL,\\n \\\"trace_state\\\" STRING NULL,\\n \\\"scope_name\\\" STRING NULL,\\n \\\"scope_version\\\" STRING NULL,\\n \\\"service_name\\\" STRING NULL SKIPPING INDEX WITH(false_positive_rate = '0.01', granularity = '10240', type = 'BLOOM'),\\n \\\"span_attributes.operation.type\\\" STRING NULL,\\n \\\"span_attributes.net.peer.ip\\\" STRING NULL,\\n \\\"span_attributes.peer.service\\\" STRING NULL,\\n \\\"span_events\\\" JSON NULL,\\n \\\"span_links\\\" JSON NULL,\\n TIME INDEX (\\\"timestamp\\\"),\\n PRIMARY KEY (\\\"service_name\\\")\\n)\\nPARTITION ON COLUMNS (\\\"trace_id\\\") (\\n trace_id < '1',\\n trace_id >= '1' AND trace_id < '2',\\n trace_id >= '2' AND trace_id < '3',\\n trace_id >= '3' AND trace_id < '4',\\n trace_id >= '4' AND trace_id < '5',\\n trace_id >= '5' AND trace_id < '6',\\n trace_id >= '6' AND trace_id < '7',\\n trace_id >= '7' AND trace_id < '8',\\n trace_id >= '8' AND trace_id < '9',\\n trace_id >= '9' AND trace_id < 'a',\\n trace_id >= 'a' AND trace_id < 'b',\\n trace_id >= 'b' AND trace_id < 'c',\\n trace_id >= 'c' AND trace_id < 'd',\\n trace_id >= 'd' AND trace_id < 'e',\\n trace_id >= 'e' AND trace_id < 'f',\\n trace_id >= 'f'\\n)\\nENGINE=mito\\nWITH(\\n 'comment' = 'Created on insertion',\\n append_mode = 'true',\\n 'greptime.semantic.pipeline' = 'greptime_trace_v1',\\n 'greptime.semantic.signal_type' = 'trace',\\n 'greptime.semantic.source' = 'opentelemetry',\\n 'greptime.semantic.trace.conventions' = 'https://opentelemetry.io/schemas/1.4.0',\\n table_data_model = 'greptime_trace_v1',\\n ttl = '7days'\\n)\"]]";
|
||||
validate_data(
|
||||
"trace_v1_create_table",
|
||||
&client,
|
||||
|
||||
Reference in New Issue
Block a user