kylinpython 2.8.4
Apache Kylin Python Client Library with minor fixes
License: MIT License
Keywords: apache kylin,kylin,kap,kyligence,kyligence enterprise,cli,sqlalchemy dialect

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Apache Kylin Python Client Library
==================================
Apache Kylin Python Client Library is a python-based Apache Kylin client.

Any application that uses SQLAlchemy can now query Apache Kylin with this Apache Kylin dialect installed.


Installation
------------

The easiest way to install Apache Kylin Python Client Library is to use pip::

    pip install kylinpy

alternative, install by offline tarball package::

    # download from https://pypi.org/project/kylinpy/#files
    pip install kylinpy-<version>.tar.gz


Apache Kylin dialect for SQLAlchemy
-----------------------------------
Any application that uses SQLAlchemy can now query Apache Kylin with this Apache Kylin dialect installed.

You may use below template to build DSN to connect Apache Kylin::

    kylin://<username>:<password>@<hostname>:<port>/<project>?<param1>=<value1>&<param2>=<value2>


============================= ================= =======================
DSN Fields                         Default           Allow omitted
============================= ================= =======================
username                           null                 false
----------------------------- ----------------- -----------------------
password                           null                 false
----------------------------- ----------------- -----------------------
hostname                           null                 false
----------------------------- ----------------- -----------------------
port                               7070                 true
----------------------------- ----------------- -----------------------
project                            null                 false
============================= ================= =======================


DSN query string config is as follows


=========== ================== ================= ==================
   Fields     Default Value    Optional value       Description
=========== ================== ================= ==================
is_ssl          0                 0|1             Is the Kylin cluster enabled for https
----------- ------------------ ----------------- ------------------
prefix        /kylin/api         string           Kylin cluster API prefix
----------- ------------------ ----------------- ------------------
timeout          30            integer > 0        HTTP timeout with Kylin cluster
----------- ------------------ ----------------- ------------------
version          v1             v1|v2|v4          v1 == using Apache Kylin API

                                                  v2 == using Kyligence Enterprise 3 API

                                                  v4 == using Kyligence Enterprise 4 API
----------- ------------------ ----------------- ------------------
is_pushdown      0                 0|1             If enabled, viewing a project table will use the hive source table
----------- ------------------ ----------------- ------------------
is_debug        0                 0|1             Whether to enable debug mode
=========== ================== ================= ==================



From SQLAlchemy access Apache Kylin
--------------------------------------
::

    $ python
    >>> import sqlalchemy as sa
    >>> kylin_engine = sa.create_engine('kylin://ADMIN:KYLIN@sandbox/learn_kylin?timeout=60&is_debug=1')
    >>> results = kylin_engine.execute('SELECT count(*) FROM KYLIN_SALES')
    >>> [e for e in results]
    [(4953,)]
    >>> kylin_engine.table_names()
    [u'KYLIN_ACCOUNT',
     u'KYLIN_CAL_DT',
     u'KYLIN_CATEGORY_GROUPINGS',
     u'KYLIN_COUNTRY',
     u'KYLIN_SALES',
     u'KYLIN_STREAMING_TABLE']

From Pandas access Apache Kylin
------------------------------------
::

   $ python
    >>> import sqlalchemy as sa
    >>> import pandas as pd
    >>> kylin_engine = sa.create_engine('kylin://ADMIN:KYLIN@sandbox/learn_kylin?timeout=60&is_debug=1')
    >>> sql = 'select * from kylin_sales limit 10'
    >>> pd.read_sql(sql, kylin_engine)


From Superset access Apache Kylin
-------------------------------------

Now you can configure the DSN in your application to establish the connection with Apache Kylin.

For example, you may install Apache Kylin Python Client Library in your Superset environment and configure connection to Apache Kylin in Superset

.. image:: https://raw.githubusercontent.com/Kyligence/kylinpy/master/docs/picture/superset1.png

then you may be able to query Apache Kylin one table at a time from Superset

.. image:: https://raw.githubusercontent.com/Kyligence/kylinpy/master/docs/picture/superset2.png

you may also be able to query detail data

.. image:: https://raw.githubusercontent.com/Kyligence/kylinpy/master/docs/picture/superset3.png

Alternatively, you may also be able to query multiple tables from Apache Kylin by using SQL Lab in Superset.

.. image:: https://raw.githubusercontent.com/Kyligence/kylinpy/master/docs/picture/superset4.png