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|
%global _empty_manifest_terminate_build 0
Name: python-databricks-sql-connector
Version: 2.4.1
Release: 1
Summary: Databricks SQL Connector for Python
License: Apache-2.0
URL: https://github.com/databricks/databricks-sql-python
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/34/e1/129e6b2a316c6d2cf3d8702de405be86b6741f2bc43dafd90dba2b05894d/databricks_sql_connector-2.4.1.tar.gz
BuildArch: noarch
Requires: python3-thrift
Requires: python3-pandas
Requires: python3-pyarrow
Requires: python3-pyarrow
Requires: python3-lz4
Requires: python3-requests
Requires: python3-oauthlib
Requires: python3-numpy
Requires: python3-numpy
Requires: python3-sqlalchemy
Requires: python3-openpyxl
Requires: python3-alembic
%description
# Databricks SQL Connector for Python
[](https://pypi.org/project/databricks-sql-connector/)
[](https://pepy.tech/project/databricks-sql-connector)
The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or JDBC. It conforms to the [Python DB API 2.0 specification](https://www.python.org/dev/peps/pep-0249/) and exposes a [SQLAlchemy](https://www.sqlalchemy.org/) dialect for use with tools like `pandas` and `alembic` which use SQLAlchemy to execute DDL.
This connector uses Arrow as the data-exchange format, and supports APIs to directly fetch Arrow tables. Arrow tables are wrapped in the `ArrowQueue` class to provide a natural API to get several rows at a time.
You are welcome to file an issue here for general use cases. You can also contact Databricks Support [here](help.databricks.com).
## Requirements
Python 3.7 or above is required.
## Documentation
For the latest documentation, see
- [Databricks](https://docs.databricks.com/dev-tools/python-sql-connector.html)
- [Azure Databricks](https://docs.microsoft.com/en-us/azure/databricks/dev-tools/python-sql-connector)
## Quickstart
Install the library with `pip install databricks-sql-connector`
Note: Don't hard-code authentication secrets into your Python. Use environment variables
```bash
export DATABRICKS_HOST=********.databricks.com
export DATABRICKS_HTTP_PATH=/sql/1.0/endpoints/****************
export DATABRICKS_TOKEN=dapi********************************
```
Example usage:
```python
import os
from databricks import sql
host = os.getenv("DATABRICKS_HOST")
http_path = os.getenv("DATABRICKS_HTTP_PATH")
access_token = os.getenv("DATABRICKS_ACCESS_TOKEN")
connection = sql.connect(
server_hostname=host,
http_path=http_path,
access_token=access_token)
cursor = connection.cursor()
cursor.execute('SELECT * FROM RANGE(10)')
result = cursor.fetchall()
for row in result:
print(row)
cursor.close()
connection.close()
```
In the above example:
- `server-hostname` is the Databricks instance host name.
- `http-path` is the HTTP Path either to a Databricks SQL endpoint (e.g. /sql/1.0/endpoints/1234567890abcdef),
or to a Databricks Runtime interactive cluster (e.g. /sql/protocolv1/o/1234567890123456/1234-123456-slid123)
- `personal-access-token` is the Databricks Personal Access Token for the account that will execute commands and queries
## Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md)
## License
[Apache License 2.0](LICENSE)
%package -n python3-databricks-sql-connector
Summary: Databricks SQL Connector for Python
Provides: python-databricks-sql-connector
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-databricks-sql-connector
# Databricks SQL Connector for Python
[](https://pypi.org/project/databricks-sql-connector/)
[](https://pepy.tech/project/databricks-sql-connector)
The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or JDBC. It conforms to the [Python DB API 2.0 specification](https://www.python.org/dev/peps/pep-0249/) and exposes a [SQLAlchemy](https://www.sqlalchemy.org/) dialect for use with tools like `pandas` and `alembic` which use SQLAlchemy to execute DDL.
This connector uses Arrow as the data-exchange format, and supports APIs to directly fetch Arrow tables. Arrow tables are wrapped in the `ArrowQueue` class to provide a natural API to get several rows at a time.
You are welcome to file an issue here for general use cases. You can also contact Databricks Support [here](help.databricks.com).
## Requirements
Python 3.7 or above is required.
## Documentation
For the latest documentation, see
- [Databricks](https://docs.databricks.com/dev-tools/python-sql-connector.html)
- [Azure Databricks](https://docs.microsoft.com/en-us/azure/databricks/dev-tools/python-sql-connector)
## Quickstart
Install the library with `pip install databricks-sql-connector`
Note: Don't hard-code authentication secrets into your Python. Use environment variables
```bash
export DATABRICKS_HOST=********.databricks.com
export DATABRICKS_HTTP_PATH=/sql/1.0/endpoints/****************
export DATABRICKS_TOKEN=dapi********************************
```
Example usage:
```python
import os
from databricks import sql
host = os.getenv("DATABRICKS_HOST")
http_path = os.getenv("DATABRICKS_HTTP_PATH")
access_token = os.getenv("DATABRICKS_ACCESS_TOKEN")
connection = sql.connect(
server_hostname=host,
http_path=http_path,
access_token=access_token)
cursor = connection.cursor()
cursor.execute('SELECT * FROM RANGE(10)')
result = cursor.fetchall()
for row in result:
print(row)
cursor.close()
connection.close()
```
In the above example:
- `server-hostname` is the Databricks instance host name.
- `http-path` is the HTTP Path either to a Databricks SQL endpoint (e.g. /sql/1.0/endpoints/1234567890abcdef),
or to a Databricks Runtime interactive cluster (e.g. /sql/protocolv1/o/1234567890123456/1234-123456-slid123)
- `personal-access-token` is the Databricks Personal Access Token for the account that will execute commands and queries
## Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md)
## License
[Apache License 2.0](LICENSE)
%package help
Summary: Development documents and examples for databricks-sql-connector
Provides: python3-databricks-sql-connector-doc
%description help
# Databricks SQL Connector for Python
[](https://pypi.org/project/databricks-sql-connector/)
[](https://pepy.tech/project/databricks-sql-connector)
The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or JDBC. It conforms to the [Python DB API 2.0 specification](https://www.python.org/dev/peps/pep-0249/) and exposes a [SQLAlchemy](https://www.sqlalchemy.org/) dialect for use with tools like `pandas` and `alembic` which use SQLAlchemy to execute DDL.
This connector uses Arrow as the data-exchange format, and supports APIs to directly fetch Arrow tables. Arrow tables are wrapped in the `ArrowQueue` class to provide a natural API to get several rows at a time.
You are welcome to file an issue here for general use cases. You can also contact Databricks Support [here](help.databricks.com).
## Requirements
Python 3.7 or above is required.
## Documentation
For the latest documentation, see
- [Databricks](https://docs.databricks.com/dev-tools/python-sql-connector.html)
- [Azure Databricks](https://docs.microsoft.com/en-us/azure/databricks/dev-tools/python-sql-connector)
## Quickstart
Install the library with `pip install databricks-sql-connector`
Note: Don't hard-code authentication secrets into your Python. Use environment variables
```bash
export DATABRICKS_HOST=********.databricks.com
export DATABRICKS_HTTP_PATH=/sql/1.0/endpoints/****************
export DATABRICKS_TOKEN=dapi********************************
```
Example usage:
```python
import os
from databricks import sql
host = os.getenv("DATABRICKS_HOST")
http_path = os.getenv("DATABRICKS_HTTP_PATH")
access_token = os.getenv("DATABRICKS_ACCESS_TOKEN")
connection = sql.connect(
server_hostname=host,
http_path=http_path,
access_token=access_token)
cursor = connection.cursor()
cursor.execute('SELECT * FROM RANGE(10)')
result = cursor.fetchall()
for row in result:
print(row)
cursor.close()
connection.close()
```
In the above example:
- `server-hostname` is the Databricks instance host name.
- `http-path` is the HTTP Path either to a Databricks SQL endpoint (e.g. /sql/1.0/endpoints/1234567890abcdef),
or to a Databricks Runtime interactive cluster (e.g. /sql/protocolv1/o/1234567890123456/1234-123456-slid123)
- `personal-access-token` is the Databricks Personal Access Token for the account that will execute commands and queries
## Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md)
## License
[Apache License 2.0](LICENSE)
%prep
%autosetup -n databricks-sql-connector-2.4.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-databricks-sql-connector -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.4.1-1
- Package Spec generated
|
