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# PyHive

[PyHive](https://github.com/dropbox/PyHive) is a collection of Python DB-API and SQLAlchemy interfaces for Hive. PyHive can connect with the Kyuubi server serving in thrift protocol as HiveServer2.

## Requirements

PyHive works with Python 2.7 / Python 3. Install PyHive via pip for the Hive interface.

```
pip install 'pyhive[hive]'
```

## Usage

Use the Kyuubi server's host and thrift protocol port to connect.

For further information about usages and features, e.g. DB-API async fetching, using in SQLAlchemy, please refer to [project homepage](https://github.com/dropbox/PyHive).

### DB-API

```python
from pyhive import hive
cursor = hive.connect(host=kyuubi_host,port=10009).cursor()
cursor.execute('SELECT * FROM my_awesome_data LIMIT 10')
print(cursor.fetchone())
print(cursor.fetchall())
```

### Use PyHive with Pandas

PyHive provides a handy way to establish a SQLAlchemy compatible connection and works with Pandas dataframe for executing SQL and reading data via [`pandas.read_sql`](https://pandas.pydata.org/docs/reference/api/pandas.read_sql.html).

```python
from pyhive import hive
import pandas as pd

# open connection
conn = hive.Connection(host=kyuubi_host,port=10009)

# query the table to a new dataframe
dataframe = pd.read_sql("SELECT id, name FROM test.example_table", conn)
```

### Authentication

If password is provided for connection, make sure the `auth` param set to either `CUSTOM` or `LDAP`.

```python
# open connection
conn = hive.Connection(host=kyuubi_host,port=10009, 
user='user', password='password', auth='CUSTOM')
```