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HiveQL Kernel

Project description

# HiveQL Kernel

If you are going to connect using kerberos:

` sudo apt-get install python3-dev libsasl2-dev libsasl2-2 libsasl2-modules-gssapi-mit `

To install the kernel:

` pip install --upgrade hiveqlKernel jupyter hiveql install --user `

Run tests:

` python -m pytest `

How to use in Notebooks:

First create your connection, inside a Notebook cell configure the connection:

` $$ url=hive://<kerberos-username>@<hive-host>:<hive-port>/<db-name> $$ connect_args={"auth": "KERBEROS","kerberos_service_name": "hive"} $$ pool_size=5 $$ max_overflow=10 `

These args are passed to sqlalchemy, who registered pyHive as the ‘hive’ SQL back-end. See [github.com/dropbox/PyHive](https://github.com/dropbox/PyHive/#sqlalchemy).

You can also change the default display limit (=20) like this :

` $$ default_limit=50 `

You can now type HiveQL inside the next Notebook cells:

` SHOW TABLES `

Have fun!

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