GameAnalytics/panoramix
GameAnalytics/panoramix has 44 GitHub stars and 5 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-10 04:23 UTC. Last push 2026-09-14.
Apache Druid client for Elixir
Measured star growth
- in 24h
- 0
- in 7 days
- Update delayed
- in 15 days
- Update delayed
- in 1 month
- Update delayed
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
OriginalPanoramix
An open-source client library for sending requests to Apache Druid from applications written in Elixir. The project uses HTTPoison as an HTTP client for sending queries.
Getting Started
Add Panoramix as a dependency to your project.
defp deps do
[
{:panoramix, ">= 0.12.0 and < 1.0.0"}
]
end
Configuration
Panoramix requires a Druid Broker profile to be defined in the configuration of your application.
config :panoramix,
request_timeout: 120_000,
query_priority: 0,
broker_profiles: [
default: [
base_url: "https://druid-broker-host:9088",
cacertfile: "path/to/druid-certificate.crt",
http_username: "username",
http_password: "password"
]
],
httpoison_module: HTTPoison
request_timeout: Query timeout in millis to be used inContextof all Druid queries.query_priority: Priority to be used inContextof all Druid queries.httpoison_module: Module to call when making HTTP requests. Defaults toHTTPoisonif not specified, but you can provide a custom wrapper module if you wish. See HTTPoison.Base for examples.
The cacertfile option in the broker profile names a file that contains the CA certificate for the Druid broker. Alternatively you can specify the certificate as a string in PEM format (starting with -----BEGIN CERTIFICATE-----) in the cacert option.
Usage
Build a query like this:
use Panoramix
q = from "my_datasource",
query_type: "timeseries",
intervals: ["2019-03-01T00:00:00+00:00/2019-03-04T00:00:00+00:00"],
granularity: :day,
filter: dimensions.foo == "bar",
aggregations: [event_count: count(),
unique_id_count: hyperUnique(:user_unique)]
And then send it:
Panoramix.post_query(q, :default)
Where :default is a configuration profile pointing to your Druid server.
The default value for the profile argument is :default, so if you
only need a single configuration you can omit it:
Panoramix.post_query(q)
Response example:
{:ok,
[
%{
"result" => %{
"event_count" => 7544,
"unique_id_count" => 43.18210933535
},
"timestamp" => "2019-03-01T00:00:00.000Z"
},
%{
"result" => %{
"event_count" => 1051,
"unique_id_count" => 104.02052398847
},
"timestamp" => "2019-03-02T00:00:00.000Z"
},
%{
"result" => %{
"event_count" => 4591,
"unique_id_count" => 79.19885795313
},
"timestamp" => "2019-03-03T00:00:00.000Z"
}
]}
To make a nested query, pass a map of the form %{type: :query, query: inner_query}
as data source. For example:
use Panoramix
inner_query = from "my_datasource",
query_type: "topN",
intervals: ["2019-03-01T00:00:00+00:00/2019-03-04T00:00:00+00:00"],
granularity: :day,
aggregations: [event_count: count()],
dimension: "foo",
metric: "event_count",
threshold: 100
q = from %{type: :query, query: inner_query},
query_type: "timeseries",
intervals: ["2019-03-01T00:00:00+00:00/2019-03-04T00:00:00+00:00"],
granularity: :day,
aggregations: [foo_count: count(),
event_count_sum: longSum(:event_count)],
post_aggregations: [mean_events_per_foo: aggregations.event_count_sum / aggregations.foo_count]
To make a join query, pass a map of the form %{type: :join, left: left, right: right, joinType: :INNER | :LEFT, rightPrefix: "prefix_", condition: "condition"}. Both the left
and the right side can be a nested query as above, %{type: :query, query: inner_query},
which will be expanded. Other join sources will be passed to Druid unchanged. For example:
use Panoramix
from %{type: :join,
left: "sales",
right: %{type: :lookup, lookup: "store_to_country"},
rightPrefix: "r.",
condition: "store == \"r.k\"",
joinType: :INNER},
query_type: "groupBy",
intervals: ["0000/3000"],
granularity: "all",
dimensions: [%{type: "default", outputName: "country", dimension: "r.v"}],
aggregations: [country_revenue: longSum(:revenue)]
You can also build a JSON query yourself by passing it as a map to
post_query:
Panoramix.post_query(%{queryType: "timeBoundary", dataSource: "my_datasource"})
Troubleshooting
You can check correctness of your configuration by requesting status from Druid Broker. A successfull response will look like this.
iex(1)> Panoramix.status(:default)
{:ok,
%{
"memory" => %{...},
"modules" => [...],
"version" => "0.13.0"
}}
Contributions
We'd love to accept your contributions in a form of patches, bug reports and new features!
Before opening a pull request please make sure your changes pass all the tests.
License
Except as otherwise noted this software is licensed under the Apache License, Version 2.0
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
The code was Copyright 2018-2019 Game Analytics Limited and/or its affiliates.
Explore related projects
Asabeneh/30-Days-Of-Python
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,486 starsgrafana/grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
77,790 starsredis/redis
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
77,332 starsapache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
75,455 stars