Metadata-Version: 2.1
Name: pykusto
Version: 0.2.0
Summary: Advanced python SDK for Azure Data Explorer
Home-page: https://github.com/Azure/pykusto
Author: Microsoft Corporation
Author-email: yomost@microsoft.com
License: MIT License
Keywords: kusto azure-data-explorer client library query
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown
Requires-Dist: redo (==2.0.4)
Requires-Dist: azure-kusto-data (==3.1.0)
Requires-Dist: pandas (<=1.2.4,>=0.25.0)
Provides-Extra: test
Requires-Dist: pytest ; extra == 'test'
Requires-Dist: pytest-cov ; extra == 'test'
Requires-Dist: flake8 ; extra == 'test'
Requires-Dist: typeguard ; extra == 'test'

# Introduction 
_pykusto_ is an advanced Python SDK for Azure Data Explorer (a.k.a. Kusto).  
Started as a project in the 2019 Microsoft Hackathon.

[![PyPI version](https://badge.fury.io/py/pykusto.svg)](https://badge.fury.io/py/pykusto)
[![Downloads](https://pepy.tech/badge/pykusto)](https://pepy.tech/project/pykusto)

# Getting Started
### Installation
Default installation:
```bash
pip install pykusto
```
With dependencies required for running the tests:
```bash
pip install pykusto[test]
```
Without dependencies which are not needed in PySpark:
```bash
pip install pykusto --global-option pyspark
```


### Basic usage

```python
from datetime import timedelta
from pykusto import PyKustoClient, Query

# Connect to cluster with AAD device authentication
# Databases, tables, and columns are auto-retrieved
client = PyKustoClient('https://help.kusto.windows.net')

# Show databases
print(tuple(client.get_databases_names()))

# Show tables in 'Samples' database
print(tuple(client.Samples.get_table_names()))

# Connect to 'StormEvents' table
t = client.Samples.StormEvents

# Build query
(
    Query(t)
        # Access columns using table variable 
        .project(t.StartTime, t.EndTime, t.EventType, t.Source)
        # Specify new column name using Python keyword argument   
        .extend(Duration=t.EndTime - t.StartTime)
        # Python types are implicitly converted to Kusto types
        .where(t.Duration > timedelta(hours=1))
        .take(5)
        # Output to pandas dataframe
        .to_dataframe()
) 
```

### Retrying failed queries
```python
# Turn on retrying for all queries
from pykusto import PyKustoClient, RetryConfig, Query

client = PyKustoClient(
    "https://help.kusto.windows.net",
    retry_config=RetryConfig()  # Use default retry config 
)

# Override retry config for specific query 
Query(client.Samples.StormEvents).take(5).to_dataframe(
    retry_config=RetryConfig(attempts=3, sleep_time=1, max_sleep_time=600, sleep_scale=2, jitter=1)
)
```

# Contributing

This project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.


