Pinot is a real-time distributed OLAP datastore, built to deliver scalable real-time analytics with low latency. It can ingest from batch data sources (such as Hadoop HDFS, Amazon S3, Azure ADLS, Google Cloud Storage) as well as stream data sources (such as Apache Kafka).
This repo publishes the docker image and helm chart for Apache Pinot.
Hypertrace uses Pinot as underlying OLAP engine for realtime streaming ingestion of the traces, index them and serve the time-series and analytics queries from the hypertrace UI/dashboard.
Hypertrace Architecture |
To build Pinot image locally, run:
./gradlew dockerBuildImages
Note:
- docker-compose uses
pinot-servicemanager
image so you have to build it from that folder in case you are working on that one. - To read more about installing and configuring helm chart refer BUILD.md.
You can test the image you built after modification by running docker-compose or helm setup.
Change the tag for pinot-servicemanager
from :main
to :test
in docker-compose file like this.
pinot:
image: hypertrace/pinot-servicemanager:test
container_name: pinot
...
and then run docker-compose up
to test the setup.
Add image repository and tag in values.yaml file here like below and then run ./hypertrace.sh install
again and you can test your image!
pinot:
image:
repository: "hypertrace/pinot"
tagOverride: "test"