Can Python directly read in a Hive table? - python

Is there a module or a connector that allows Python directly access Hive tables? Any help would be greatly appreciated.

Python has a Pyhive library that you can use to connect to hive database and run query against them.
it allows you to connect through JDBC and Kerberos Authentication. However, it's bit buggy and JDBC over SSL seems not supported.
This is how you connect
connection = hive.connect(host='HIVE_HOST',
port=10000,
database='temp',
username='HIVE_USERNAME',
password='HIVE_PASSWORD',
auth='CUSTOM')
You can find more details here.
http://allabouthadoop.net/how-to-access-hive-with-python-script/
And these are the two issues I am talking about
https://github.com/dropbox/PyHive/issues/258
https://github.com/dropbox/PyHive/issues/257

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I need to connect ElasticSearch to Superset for visualization. When I checked in Superset in Sources> Databases, it mentioned to use SQLAlchemy URI and Database for testing the connection.
In our case, ElasticSearch is connected with Python library and not using SQLAlchemy.
Is there any way to connect Elastic Search with Superset using Python library and if so could you please help by mentioning the way to connect?
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Read/Write Mysql DB using Python API

Is there any Python API that will allow me to interact with a remote MySQL db (running on RDS) in a transactional manner (read, write)? I believe this can be done using Boto for DynamoDB but I couldn't find anything similar for MySQL.
Any suggestions?
Thanks,
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There is no such thing in Boto,
The easiest and simplest library to interact with MySQL using python in my opinion is MySQLdb.

MySQL connector

I am trying to build a tool that one step of it is connecting to MySQL database.
Just I am so confused about ODBC. If I want to build a cross platform connector by python, should I use python connector or ODBC connector?
I know JDBC, but ODBC stands for Open Database Connectivity. It looks like more compatible.
Could anyone help me clarify that? Thank you very much.
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Note that there are DB API v2.0 implementations (like pyodbc) that provide ODBC connectivity, so conceptually you could connect to MySQL via ODBC, but this would have inferior performance than the above mentioned "native" drivers because of the extra abstraction layers.

Best way to access Firebird DB from a remote desktop.

I have a Firebird DB set up on my computer and I want to be able to retrieve data from a different computer. What is the best way to go about this?
I am running windows and using python.
Install firebird client to the client pc
To connect firebird programmaticaly from python you should install a python Firebird driver.
For Python 2.x, you can use kinterbasdb. This is the legacy driver and I think it is not actively developed but only maintained.
To connect windows based server database from kinterbasdb you can use
Import kinterbasdb as k
k.init(type_conv = 300) #
con = k.connect(dsn='127.0.0.1:c:\\db\\test.fdb', user='sysdba', password='masterkey', charset='YOUR_CHARSET', dialect=3)
Of course you should adjust connection parameters according to your system. Kinterbasdb documentation is here
If you want use an ORM, you can use SqlAlchemy which uses kinterbasdb for Firebird Support
For Python 3k you can use pyfirebirdsql which also supports Python 2.5+ and under active development, but not supported by SqlAlchemy yet.
Run Firebird server on the computer with database file and connect to it from remote computer. You will need in Firebird client library installed on remote computer.
I think we need a bit more info.
Do you want database access - as in "I want to be able to edit table layout and define new tables, views, procedures and so on" ?
Or do you only need to get data from the database using python ?
The latter could be achieved by installing a Firebird client (in essence its a dll (fbclient.dll)) and then use a connect string from python to connect to your database.

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