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* feat: implement jaeger query api * test: add some unit tests * test: add integration tests for jaeger query APIs * refactor: parse tags from url parameters * refactor: support to query traces by tags * refactor: add limit parameter * refactor: add jaeger query api metrics * chore: add some comment docs and default limit value * test: add more unit tests * docs: add jaeger options in config docs * refactor: code review * wip * refactor: use datafusion's dataframe APIs to query traces * refactor: code review * chore: format test cases * refactor: add check_schema() * chore: fix clippy errors and rename function name * refactor: throw error when covert start_time and duration error * chore: modify incorrect request type name * chore: remove unecessary serde rename * refactor: add some important comments * refactor: add SPAN_KIND_PREFIX * refactor: code review
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-standalone.yml up kafka