Azure Data Explorer (Kusto) dialect for SQLAlchemy

sqlalchemy-kusto implements a DBAPI (PEP-249) and SQLAlchemy dialect that enables SQL query execution via SQLAlchemy.

Current project includes support for two dialects: SQL dialect and KQL dialect.

SQL dialect

Current implementation has full support for SQL queries. But pay your attention that Kusto implementation of T-SQL has not full coverage; check the list of known issues.

KQL dialect

KQL dialect still in progress. Please, use it on your own risk for now.

Notice that implemented Kusto dialects don't support DDL statements and inserts, deletes, updates.

Installation

pip install sqlalchemy-kusto

Library usage

Using DBAPI

from sqlalchemy_kusto import connect

connection = connect(
        cluster=kusto_url,
        database=database_name,
        msi=False,
        user_msi=None,
        azure_ad_client_id=kusto_client_id,
        azure_ad_client_secret=kusto_client_secret,
        azure_ad_tenant_id=kusto_tenant_id,
)

result = connection.execute(f"select 1").fetchall()

Using SQLAlchemy raw sql

from sqlalchemy.engine import create_engine

engine = create_engine(
    f"kustosql+{kusto_url}/{database_name}?"
    f"msi=False&azure_ad_client_id={kusto_client_id}&"
    f"azure_ad_client_secret={kusto_client_secret}&"
    f"azure_ad_tenant_id={kusto_tenant_id}"
)
engine.connect()
cursor = engine.execute(f"select top 1")
data_rows = cursor.fetchall()

Using SQLAlchemy

from sqlalchemy import create_engine, MetaData, Table, Column, String, Integer

engine = create_engine(
    f"kustosql+{kusto_url}/{database_name}?"
    f"msi=False&azure_ad_client_id={kusto_client_id}&"
    f"azure_ad_client_secret={kusto_client_secret}&"
    f"azure_ad_tenant_id={kusto_tenant_id}"
)

my_table = Table(
        "MyTable",
        MetaData(),
        Column("Id", Integer),
        Column("Text", String),
)

query = my_table.select().limit(5)

engine.connect()
cursor = engine.execute(query)
print([row for row in cursor])

Using SQLAlchemy with azure cli login

For testing purpose use the azure-cli with a user having permission to access the kusto database

$ az login

from sqlalchemy import create_engine, MetaData, Table, Column, String, Integer

engine = create_engine(
    f"kustosql+{kusto_url}/{database_name}?"
    f"az_cli=True"
)

my_table = Table(
        "MyTable",
        MetaData(),
        Column("Id", Integer),
        Column("Text", String),
)

query = my_table.select().limit(5)

engine.connect()
cursor = engine.execute(query)
print([row for row in cursor])

Contributing

Please see the CONTRIBUTING.md for development setup and contributing process guidelines.

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Issue in Apache Superset repository that inspired current solution.