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dennis zhuang
007836ba7a
* fix(prometheus): honor label matchers in __name__ values query
`/api/v1/label/__name__/values?match[]={pod="abc"}` dropped every matcher
other than `__name__` and returned all metrics in the schema. No error,
just the wrong list. Grafana's metrics browser sends this request, so
picking a label value there did nothing.
Selectors that only constrain `__name__` keep answering from table
metadata. A selector constraining an ordinary label now goes to the data:
scan each metric engine physical table for distinct `__table_id` in the
time range, map the ids back to metric names, then apply the selector's
own `__name__` matchers.
Only metric engine tables are covered; other engines share no column space
to scan.
Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
* refactor(prometheus): batch-resolve metric names by table id
Building a full table-id-to-name map meant walking every table in the
schema and holding all of them in memory, just to name the handful the
scan returned. Use `tables_by_ids` instead — one batch KV read over the
ids the scan actually produced.
The catalog walk stays, but only to find the physical tables to scan.
Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
* fix(promql): read an absent label as the empty string
A matcher on a label the series does not carry only worked when the table
had no column for it at all. Where the column exists but is NULL on that
row -- the norm for logical metrics sharing a metric engine physical
table, which holds the union of their label columns -- three-valued logic
dropped the row, so `host!="host1"` and `host=""` missed every metric
without a host label.
Coalesce nullable string label columns to "" for matchers that accept the
empty string, rather than only for the OTLP temporality marker. Equality
matchers are untouched; they cannot match NULL either way.
This is the Prometheus compatibility fix #8970 deliberately kept out of
its own scope. The cost is visible in the regex sqlness plan: the
predicate becomes a CASE, so the scan loses its LastRow selector and
grows a FilterExec. Only negative and empty-accepting matchers pay it.
Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
* fix(promql): don't panic on pre-epoch label value bounds
`rewrite_label_values_query` unwrapped `duration_since(UNIX_EPOCH)`, which
returns an error for an instant before the epoch. `start=1969-12-31T23:59:59Z`
parses as valid RFC3339, so the request panicked instead of answering.
Recover the sign from the error branch, and report a value beyond i64
milliseconds as an error rather than wrapping the cast.
Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
* refactor(prometheus): drop applicable_matchers, share the distinct scan
With the planner reading an absent label as empty, the frontend no longer
needs to pre-filter matchers per physical table. Removing that exposed a
second problem: a physical table that never took a column from a logical
table exposes no `__table_id`, and projecting it failed the whole request.
Skip those tables; the only thing that can miss is a metric with no labels.
Also pulls out the plan-build-execute-collect sequence the two label value
scans had in common.
Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
---------
Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
Setup tests for multiple storage backend
To run the integration test, please copy .env.example to .env in the project root folder and change the values on need.
Take s3 for example. You need to set your S3 bucket, access key id and secret key:
# Settings for s3 test
GT_S3_BUCKET=S3 bucket
GT_S3_REGION=S3 region
GT_S3_ACCESS_KEY_ID=S3 access key id
GT_S3_ACCESS_KEY=S3 secret access key
Run
Execute the following command in the project root folder:
cargo test integration
Test s3 storage:
cargo test s3
Test oss storage:
cargo test oss
Test azblob storage:
cargo test azblob
Setup tests with Kafka wal
To run the integration test, please copy .env.example to .env in the project root folder and change the values on need.
GT_KAFKA_ENDPOINTS = localhost:9092
Setup kafka standalone
cd tests-integration/fixtures
docker compose -f docker-compose.yml up kafka
Setup tests with etcd TLS
This guide explains how to set up and test TLS-enabled etcd connections in GreptimeDB integration tests.
Quick Start
TLS certificates are already at tests-integration/fixtures/etcd-tls-certs/.
-
Start TLS-enabled etcd:
cd tests-integration/fixtures docker compose up etcd-tls -d -
Start all services (including etcd-tls):
cd tests-integration/fixtures docker compose up -d --wait
Certificate Details
The checked-in certificates include:
ca.crt- Certificate Authority certificateserver.crt/server-key.pem- Server certificate for etcd-tls serviceclient.crt/client-key.pem- Client certificate for connecting to etcd-tls
The server certificate includes SANs for localhost, etcd-tls, 127.0.0.1, and ::1.
Regenerating Certificates (Optional)
If you need to regenerate the etcd certificates:
# Regenerate certificates (overwrites existing ones)
./scripts/generate-etcd-tls-certs.sh
# Or generate in custom location
./scripts/generate-etcd-tls-certs.sh /path/to/cert/directory
If you need to regenerate the mysql and postgres certificates:
# Regenerate certificates (overwrites existing ones)
./scripts/generate_certs.sh
# Or generate in custom location
./scripts/generate_certs.sh /path/to/cert/directory
Note: The checked-in certificates are for testing purposes only and should never be used in production.