Skip to main content

Easy access to the DES DB. Enhanced command line SQL interpreter client for DES

Project description

# easyaccess <a href="https://github.com/mgckind/easyaccess/releases/tag/1.4.0"> <img src="https://img.shields.io/badge/release-v1.4.0-blue.svg" alt="latest release" /></a> <a href="https://github.com/mgckind/easyaccess/blob/master/LICENSE.txt"><img src="https://img.shields.io/badge/license-NCSA%20License-blue.svg" alt="License" /> </a> <a href="https://pypi.python.org/pypi/easyaccess/1.3.1"><img src="https://img.shields.io/badge/pypi-v1.3.1-orange.svg" alt="pypi version"/></a>
![help_screen](data/help_screenshot.png)

Enhanced command line SQL interpreter client for astronomical databases.

Python Command Line Interpreter to access Oracle DES DB
using cx_Oracle

For a short tutorial (To be completed) check [here](http://deslogin.cosmology.illinois.edu/~mcarras2/data/DESDM.html)
(Using des credentials)


**Current version = 1.4.0-rc1**

## Requirements

- Oracle Client > 11g.2 (External library, no python)
Check [here](https://opensource.ncsa.illinois.edu/confluence/display/DESDM/Instructions+for+installing+Oracle+client+and+easyaccess+without+EUPS) for instructions on how to install these libraries
- [cx_Oracle](https://bitbucket.org/anthony_tuininga/cx_oracle)
Note that cx_Oracle needs libaio on some Linux systems (e.g., #98)
- [fitsio](https://github.com/esheldon/fitsio) >= 0.9.6
- [pandas](http://pandas.pydata.org/) >= 0.14
- [termcolor](https://pypi.python.org/pypi/termcolor)
- [PyTables](http://pytables.github.io/) (optional, for hdf5 output)
- [future](http://python-future.org/) (for python 2/3 compatibility)
- [requests](http://docs.python-requests.org/en/master/)
- [gnureadline](https://github.com/ludwigschwardt/python-gnureadline) (optional, for better console behavior in OS X)
- **Note that you need to install python-future for python2/3 compatibility**

## Some *nice* features
- Nice output format (using pandas)
- Very flexible configuration
- Smart tab completion for commands, table names, column names and file paths accordingly
- write output results to csv, tab, fits files or HDF5 files
- load tables from csv, fits or hdf5 directly into DB (memory friendly by using number of rows or memory limit)
- intrinsic db commands to describe tables, own schema, quota and more
- It can be imported as module from python, extense python API
- Can run command directly from command line
- Load sql query from file and/or from editor
- Show the execution plan of a query if required
- Can run python functions inline query
- Many more

## Conda installation
Now easyaccess can be installed using [conda](http://conda.pydata.org/docs/install/quick.html) out of the box!

conda install easyaccess -c mgckind

## Interactive interpreter

Assuming that ```easyaccess``` is in your path, you can enter the interactive interpreter by calling ```easyaccess``` without any command line arguments:

easyaccess

### Running SQL commands
Once inside the interpreter run SQL queries by adding a ";" at the end::

DESDB ~> select ... from ... where ... ;

To save the results into a table add ">" after the end of the query (after ";") and namefile at the end of line

DESDB ~> select ... from ... where ... ; > test.fits

The file types supported so far are: .csv, .tab, .fits, and .h5. Any other extension is ignored.

### Load tables
To load a table it needs to be in a csv format with columns names in the first row
the name of the table is taken from filename or with optional argument --tablename

DESDB ~> load_table <filename> --tablename <mytable> --chunksize <number of rows to read/upload> --memsize <memory in MB to read at a time>

The --chunsize and --memsize are optional arguments to facilitate uploading big files.

### Load SQL queries
To load SQL queries just run:

DESDB ~> loadsql <filename.sql>
or

DESDB ~> @filename.sql

The query format is the same as the interpreter, SQL statement must end with ";" and to write output files the query must be followed by " > <output file>"

### Configuration

The configuration file is located at ```$HOME/.easyaccess/config.ini``` but everything can be configured from inside easyaccess type:

DESDB ~> help config

to see the meanings of all the options, and:

DESDB ~> config all show

to see the current values, to modify one value, e.g., the prefetch value

DESDB ~> config prefetch set 50000

and to see any particular option (e.g., timeout):

DESDB ~> config timeout show

## Command-line usage

Much of the functionality provided through the interpreter is also available directly from the command line. To see a list of command-line options, use the ```--help``` option

easyaccess --help

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

easyaccess-1.4.0rc4.tar.gz (169.6 kB view details)

Uploaded Source

Built Distribution

easyaccess-1.4.0rc4-py2.py3-none-any.whl (54.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file easyaccess-1.4.0rc4.tar.gz.

File metadata

File hashes

Hashes for easyaccess-1.4.0rc4.tar.gz
Algorithm Hash digest
SHA256 e636c7f545d5db9d75ea3f5b8092f085fdc7e6bc2c085c8b4f40eecd5efd5b94
MD5 2111563aed7dc749dc10e83bb1e83418
BLAKE2b-256 3957d44a6d311999633cf6e7e76879ab6a43a40968a50956c79392df57feb2fd

See more details on using hashes here.

File details

Details for the file easyaccess-1.4.0rc4-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for easyaccess-1.4.0rc4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4e1b7b0078c83f8b07c285e6bcf9de73431aaee6c36cb453e069d054224c59da
MD5 3886df20076b7b24b014bca2c33a49ba
BLAKE2b-256 9b7ea1d9e112d22f2cb4e2987acf15bceb8d8e486e14af426cfac866978ed16a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page