* feat(native-histogram): store counts and span lengths as signed integers Native histograms are unreleased, so the on-disk integer payload columns are switched from unsigned to signed types without backward-compat: - count_u64 / zero_count_u64: uint64 -> int64 - positive_span_lengths / negative_span_lengths: list(uint32) -> list(int32) - Span.length (query-time model): u32 -> i32 The Prometheus remote-write v2 source carries these as uint64/uint32, so the unsigned->signed conversion at the ingestion boundary is overflow checked: an integer count >= 2^63 or a span length >= 2^31 is rejected with an explicit error rather than silently wrapping to a negative value. read_spans additionally rejects negative stored lengths to keep the non-negative invariant sound for downstream `as usize` casts. The UDAF accumulator's own observation counter (transient aggregation state, not part of the persisted histogram value) is intentionally left as uint64. Signed-off-by: Ning Sun <sunning@greptime.com> * refactor(native-histogram): rename count/zero_count fields to _i64 Now that the integer payload columns are stored as int64, rename the field constants and persisted names to match: COUNT_U64_FIELD ("count_u64") -> COUNT_I64_FIELD ("count_i64") ZERO_COUNT_U64_FIELD ("zero_count_u64") -> ZERO_COUNT_I64_FIELD ("zero_count_i64") The local builder variables and the docs/JSON snapshot are updated to match. No backward-compat (unreleased feature). Signed-off-by: Ning Sun <sunning@greptime.com> * test(native-histogram): refresh planner plan snapshot for signed types The mixed native-histogram range test embeds the full histogram Struct type in its expected plan string, which still carried the pre-rename unsigned fields. Update the snapshot to match the signed schema: positive/negative_span_lengths: List(UInt32) -> List(Int32) count_u64/zero_count_u64: UInt64 -> count_i64/zero_count_i64: Int64 Signed-off-by: Ning Sun <sunning@greptime.com> --------- Signed-off-by: Ning Sun <sunning@greptime.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.