A Simple Python Example Program for the MySQL Document Store

Last time we looked at a simple example program using the X Devapi and Node.JS. This time lets look at the Python version. Well, not actually the same. This time instead of looking for the Canadian record, the program limits the query to the first two records found.

Besides Python 2.7, you will need to install the Google Protobuf code plus the development release of the Python Connector and a recent version of MySQL 5.7.

The Code

import mysqlx

session = mysqlx.get_session({          # Authenticate to server
  'host':       'localhost',
  'port':       33060,
  'user':       'dstokes',
  'password':   'S3cR3t%'})

# Connect to Schema 'world_x'
schema = session.get_schema('world_x');

# Set collection to 'countryinfo'
collection = schema.get_collection('countryinfo')

# Ask for two records
result = collection.find().limit(2).execute()

docs = result.fetch_all()

# Print requested records
for i, data in enumerate(docs):
   print "{iteration}: {data}".format(iteration = i, data=data)

# Clean up
session.close()

A Note About the 'Collection' versus 'Table'

Take a quick peek at the table used for the example from the world_x database (see last entry for location and details for installation). There are actually two '_id's in the data. There is one that is the generated column you see below and the other is in the JSON column named doc. The collection itself is the JSON data. How to prove? Change the line starting with result in the above example and replace it with result = collection.find('GNP > 100000').limit(2).execute() or something similar with a key from the data.

mysql> desc countryinfo;
+-------+-------------+------+-----+---------+------------------+
| Field | Type        | Null | Key | Default | Extra            |
+-------+-------------+------+-----+---------+------------------+
| doc   | json        | YES  |     | NULL    |                  |
| _id   | varchar(32) | NO   | PRI | NULL    | STORED GENERATED |
+-------+-------------+------+-----+---------+------------------+
2 rows in set (0.00 sec)

Results

$python test.py
0: {"GNP": 828, "Name": "Aruba", "government": {"GovernmentForm": "Nonmetropolitan Territory of The Netherlands", "HeadOfState": "Beatrix"}, "demographics": {"LifeExpectancy": 78.4000015258789, "Population": 103000}, "_id": "ABW", "IndepYear": null, "geography": {"SurfaceArea": 193, "Region": "Caribbean", "Continent": "North America"}}
1: {"GNP": 5976, "Name": "Afghanistan", "government": {"GovernmentForm": "Islamic Emirate", "HeadOfState": "Mohammad Omar"}, "demographics": {"LifeExpectancy": 45.900001525878906, "Population": 22720000}, "_id": "AFG", "IndepYear": 1919, "geography": {"SurfaceArea": 652090, "Region": "Southern and Central Asia", "Continent": "Asia"}}

Next Time

Next time we will build on these two simple example programs.