Dqlmagic
An IPython magic function allowing to use DQL in your notebooks.
Dynatrace Query Language (DQL) is a powerful tool to explore your data and discover patterns, identify anomalies and outliers, create statistical modeling, and more based on data stored in Dynatrace Grail storage.
Dqlmagic makes DQL queries available to be used in jupyter notebooks.
Available magic functions
%%dql or %dql
Executes a DQL query and returns the queried records as json array.
Example 1
Query in code-cell..
%%dql
fetch logs
| limit 10
.. and use result in another code cell:
import pandas as pd
#put result into a dataframe
df = pd.DataFrame(_dql_result)
df.head()
Note:
By default %%dql writes into _dql_result. You can optionally customize the target objects name to configure an alternative name like this:
%%dql my_result
fetch logs | limit 10
Example 2 - Inline Query
import pandas as pd
res = %dql fetch logs | limit 10
df = pd.DataFrame(res)
df.head()
%dql_raw and %%dql_raw
Same as %dql or %%dql, but returns instead of the result records the full API response json
%auth_grail <config_prefix>
Inline function connecting to the grail cluster.
Reads connection parameters from .env file:
dt_oauth_url="https://sso.dynatrace.com/sso/oauth2/token"
dt_oauth_clientid="<YOUR-CLIENT-ID>"
dt_oauth_clientsecret="<YOUR-CLIENT-SECRET>"
dt_oauth_scope="<YOUR-ACCESS-SCOPE>"
dt_tenant="<YOUR-TENANT-ID>"
grail_apiurl="https://<YOUR-TENANT-ID>.live.dynatrace.com/api/v2/dql/query"
The <config_prefix> is optional to be used if you have multiple configs stored in your .env file like e.g.
dt_config_prefix="DEV"
DEV_dt_oauth_url="https://sso.dynatrace.com/sso/oauth2/token"
DEV_dt_oauth_clientid="<YOUR-DEV-CLIENT-ID>"
DEV_dt_oauth_clientsecret="<YOUR-DEV-CLIENT-SECRET>"
DEV_dt_oauth_scope="<YOUR-DEV-ACCESS-SCOPE>"
DEV_dt_tenant="<YOUR-DEV-TENANT-ID>"
DEV_grail_apiurl="https://<YOUR-DEV-TENANT-ID>.apps.dynatracelabs.com/platform/storage/query/v1/"
PROD_dt_oauth_url="https://sso.dynatrace.com/sso/oauth2/token"
PROD_dt_oauth_clientid="<YOUR-PROD-CLIENT-ID>"
PROD_dt_oauth_clientsecret="<YOUR-PROD-CLIENT-SECRET>"
PROD_dt_oauth_scope="<YOUR-PROD-ACCESS-SCOPE>"
PROD_dt_tenant="<YOUR-PROD-TENANT-ID>"
PROD_grail_apiurl="https://<YOUR-PROD-TENANT-ID>.apps.dynatracelabs.com/platform/storage/query/v1/"
With the parameter dt_config_prefix, you set the default config prefix used, if %auth_grail parameter <config_prefix> is not provided.
For more details on how to setup API oauth clients in Dynatrace see Configure and manage account API OAuth clients
For more details on .env file see How to NOT embedded credential in Jupyter notebook or python-dotenv
Release files for dqlmagic 1.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dqlmagic-1.3.2.tar.gz | 5.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dqlmagic-1.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.3 kB
Release files / dqlmagic-1.3.2.tar.gz
| Download URL | dqlmagic-1.3.2.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
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Release files / dqlmagic-1.3.2-py3-none-any.whl
| Download URL | dqlmagic-1.3.2-py3-none-any.whl |
|---|---|
| Size | 5.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.12.4
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