Skip to main content

UnQLite Binding for Python

Project description

unqlitepy
=============

UnQLite for Python Binding

## Install

```sh
> sudo pip install unqlitepy
...
Successfully installed UnQLitePy
Cleaning up...
```
or

```sh
> virtualenv sample
> cd sample
> bin/pip install git+https://github.com/nobonobo/unqlitepy.git
...
Successfully installed UnQLitePy
Cleaning up...
```

## Usage

```python
from unqlitepy import UnQLite

with UnQLite(':mem:') as db:
db.store('test', 'hello!')
print db.fetch('test') # -> hello!
db.append('test', ' world!')
print db.fetch('test') # -> hello! world!

db.delete('test')
for i in range(25):
db.store('test{0}'.format(i), 'hello!')
db.store('etst{0}'.format(i), 'hello!')
if i%5==0:
db.delete('etst{0}'.format(i))

@UnQLite.FetchCallback
def f(output, outlen, udata):
output = (c_char*outlen).from_address(output).raw
print locals()
return UNQLITE_OK

db.fetch_cb('test0', f)

sample = (
"print 'hello!\n';"
"db_create('users'); /* Create the collection users */"
"db_create('hoges');"
" /* Store something */ "
"db_store('users',{ 'name' : 'dean' , 'age' : 32 });"
"db_store('hoges',{ 'name' : 'dean' , 'age' : 32 });"
"db_store('users',{ 'name' : 'chems' , 'age' : 27 });"
"db_store('hoges',{ 'name' : 'chems' , 'age' : 27 });"
"print db_fetch_all('users')..'\n';"
"/*print db_reset_record_cursor('users')..'\n';*/"
"while( ($rec = db_fetch('users')) != NULL ){"
" print $rec; print '\n';"
"}"
)

with db.compile(sample) as vm:
vm.execute()
with vm.new_scalar() as sv, vm.new_array() as av:
print sv, sv.is_scalar()
print av, av.is_json_array()

db.fetch_cb('users', f)

with db.cursor() as cursor:
cursor.first()
cursor.seek('test20')
while cursor.valid():
print repr(cursor.key()), repr(cursor.value())
cursor.next()
```

Project details


Download files

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

Files for unqlitepy, version 0.3.0
Filename, size File type Python version Upload date Hashes
Filename, size unqlitepy-0.3.0.tar.gz (417.7 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page