dennis zhuang
e778a72829
* feat(operator): pair calls edges across trace tables and derive virtual-node edges Union the normalized client and server spans of all trace tables before the join, so a client span pairs with a server span stored in a different table. A client span with no matching server span becomes an edge to a virtual node named by span attributes (peer.service / db.name / server.address), with confidence < 1.0 and attributes.connection_type; a window's real pairs win over virtual candidates for the same edge key. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * feat(operator): derive same-row co-declared edges from the built-in vocabulary A table declaring both entity types of a vocabulary pair witnesses the edge on every row carrying both identities: runs_on / contains / part_of for any declaring table (provenance 'attribute'), agent uses model / agent invoked tool only for trace sources (span-structure observations, provenance 'trace'). Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * feat(operator): derive parent_agent-calls-agent edges from span structure Trace tables declaring an agent entity pair each span with its child span across tables (no span-kind filter), keep pairs whose agent identities differ, and aggregate RED metrics per window, anchored on the parent span like the service derivation is anchored on the client. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * feat(frontend): feed co-declared and agent sources into the relationships scan scan_relationships now passes every declaring table (with its trace-ness) to the co-declared branch and the trace tables' agent declarations to the agent-calls derivation. enumerate validates the fixed trace-v1 columns and derives around a malformed trace table instead of failing the whole scan. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * test: cover cross-table pairing, virtual nodes, co-declared and agent edges sqlness exercises the new derivations end to end (including a malformed trace-model table being skipped); the integration authorization test now also pins that a pair split across tables derives no edge when the caller cannot read one side. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * chore: update the relationships module doc for the new branches Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * chore: import shared derivation helpers via crate paths The fmt CI gate rejects module-level 'use super::' imports. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * fix: fold co-declared duplicates, decouple agent calls, verify the trace time index Review findings: the co-declared branch lacked a cross-source DISTINCT, so two tables witnessing the same edge in one window emitted duplicate rows; the agent-calls derivation was gated on a usable service declaration; the trace schema guard accepted a table whose time index is not the column the derivations bucket by. The empty-trace-table test asserted a union invariant with no information and is dropped. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * fix: rename the agent-tool edge to invokes and track current OTel peer attributes The vocabulary's other relation names are present tense; semconv 1.39/1.26 replaced peer.service and db.name with service.peer.name and db.namespace, so the virtual-node candidates now check the current names first and keep the deprecated ones for existing telemetry. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * fix: trust the trace-v1 table option instead of matching the fixed schema The option is only ever stamped by the ingest path, which guarantees the fixed span columns; matching column types here couples the graph to every trace schema evolution (e.g. #8816) for a case that cannot occur. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> --------- Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
Sqlness Test
Sqlness manual
Case file
Sqlness has two types of file:
.sql: test input, SQL only.result: expected test output, SQL and its results
.result is the output (execution result) file. If you see .result files is changed,
it means this test gets a different result and indicates it fails. You should
check change logs to solve the problem.
You only need to write test SQL in .sql file, and run the test.
Case organization
The root dir of input cases is tests/cases. It contains several subdirectories stand for different test
modes. E.g., standalone/ contains all the tests to run under greptimedb standalone start mode.
Under the first level of subdirectory (e.g. the cases/standalone), you can organize your cases as you like.
Sqlness walks through every file recursively and runs them.
Kafka WAL
Sqlness supports Kafka WAL. You can either provide a Kafka cluster or let sqlness to start one for you.
To run test with kafka, you need to pass the option -w kafka. If no other options are provided, sqlness will use conf/kafka-cluster.yml to start a Kafka cluster. This requires docker and docker-compose commands in your environment.
Otherwise, you can additionally pass the your existing kafka environment to sqlness with -k option. E.g.:
cargo sqlness bare -w kafka -k localhost:9092
In this case, sqlness will not start its own kafka cluster and the one you provided instead.
Run the test
Unlike other tests, this harness is in a binary target form. You can run it with:
cargo sqlness bare
It automatically finishes the following procedures: compile GreptimeDB, start it, grab tests and feed it to
the server, then collect and compare the results. You only need to check if the .result files are changed.
If not, congratulations, the test is passed 🥳!