Micromegas
Python analytics client for https://github.com/madesroches/micromegas/
📖 Complete Python API Documentation - Comprehensive guide with all methods, examples, and advanced patterns
For a remote or authenticated deployment, use micromegas.connect_with_profile("prod") instead
of micromegas.connect() — it reads a named profile from ~/.micromegas/config.json and picks
the auth mechanism it names (a static API key, OIDC, or none).
Example usage
Query the 2 most recent log entries from the flightsql service
import datetime
import micromegas
# Connect to local server
client = micromegas.connect()
sql = """
SELECT time, process_id, level, target, msg
FROM log_entries
WHERE level <= 4
AND exe LIKE '%flight%'
ORDER BY time DESC
LIMIT 2
"""
now = datetime.datetime.now(datetime.timezone.utc)
begin = now - datetime.timedelta(minutes=2)
end = now
df = client.query(sql, begin, end)
print(df)
| time | process_id | level | target | msg | |
|---|---|---|---|---|---|
| 0 | 2024-10-03 18:17:56.087543714+00:00 | 1db06afc-1c88-47d1-81b3-f398c5f93616 | 4 | acme_telemetry::trace_middleware | response status=200 OK uri=/analytics/query |
| 1 | 2024-10-03 18:17:53.924037729+00:00 | 1db06afc-1c88-47d1-81b3-f398c5f93616 | 4 | micromegas_analytics::lakehouse::query | query sql= |
| SELECT time, process_id, level, target, msg | |||||
| FROM log_entries | |||||
| WHERE level <= 4 | |||||
| AND exe LIKE '%analytics%' | |||||
| ORDER BY time DESC | |||||
| LIMIT 2 |
Query the 10 slowest top level spans in a trace within a specified time window
import datetime
import micromegas
client = micromegas.connect()
# First find a stream ID
end = datetime.datetime.now(datetime.timezone.utc)
begin = end - datetime.timedelta(hours=1)
streams = client.query_streams(begin, end, limit=1)
if not streams.empty:
stream_id = streams['stream_id'].iloc[0]
sql = """
SELECT begin, end, duration, name
FROM view_instance('thread_spans', '{}')
WHERE depth=1
ORDER BY duration DESC
LIMIT 10
""".format(stream_id)
spans = client.query(sql, begin, end)
print(spans)
| begin | end | duration | name | |
|---|---|---|---|---|
| 0 | 2024-10-03 18:00:59.308952900+00:00 | 2024-10-03 18:00:59.371890+00:00 | 62937100 | FEngineLoop::Tick |
| 1 | 2024-10-03 18:00:58.752476800+00:00 | 2024-10-03 18:00:58.784389+00:00 | 31912200 | FEngineLoop::Tick |
| 2 | 2024-10-03 18:00:58.701507300+00:00 | 2024-10-03 18:00:58.731479500+00:00 | 29972200 | FEngineLoop::Tick |
| 3 | 2024-10-03 18:00:59.766343100+00:00 | 2024-10-03 18:00:59.792513700+00:00 | 26170600 | FEngineLoop::Tick |
| 4 | 2024-10-03 18:00:59.282902100+00:00 | 2024-10-03 18:00:59.308952500+00:00 | 26050400 | FEngineLoop::Tick |
| 5 | 2024-10-03 18:00:59.816034500+00:00 | 2024-10-03 18:00:59.841376900+00:00 | 25342400 | FEngineLoop::Tick |
| 6 | 2024-10-03 18:00:58.897813100+00:00 | 2024-10-03 18:00:58.922769700+00:00 | 24956600 | FEngineLoop::Tick |
| 7 | 2024-10-03 18:00:59.860637+00:00 | 2024-10-03 18:00:59.885523700+00:00 | 24886700 | FEngineLoop::Tick |
| 8 | 2024-10-03 18:00:58.630051300+00:00 | 2024-10-03 18:00:58.654871500+00:00 | 24820200 | FEngineLoop::Tick |
| 9 | 2024-10-03 18:00:57.952279800+00:00 | 2024-10-03 18:00:57.977024+00:00 | 24744200 | FEngineLoop::Tick |
Quick Start
For a complete getting started guide, see the Python API Documentation.
Schema Reference
For complete schema information including all available tables, columns, and data types, see the Schema Reference.
SQL Reference
The Micromegas analytics service is built on Apache DataFusion. For SQL syntax and functions, see the Apache DataFusion SQL Reference.
1 maintainer
Metadata
1 maintainer
Release files for micromegas 0.31.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| micromegas-0.31.0.tar.gz | 67.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| micromegas-0.31.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 144.9 kB
Release files / micromegas-0.31.0.tar.gz
| Download URL | micromegas-0.31.0.tar.gz |
|---|---|
| Size | 67.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.3.2 CPython/3.12.3 Linux/6.18.33.2-microsoft-standard-WSL2
|
Release files / micromegas-0.31.0-py3-none-any.whl
| Download URL | micromegas-0.31.0-py3-none-any.whl |
|---|---|
| Size | 77.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1e1cb28c693e9e9af22f60a70c8484b1372331ad0547c120d823b4a4a689a84b
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.3.2 CPython/3.12.3 Linux/6.18.33.2-microsoft-standard-WSL2
|
