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.

Source Distribution

unqlitepy-0.3.0.tar.gz (417.7 kB view details)

Uploaded Source

File details

Details for the file unqlitepy-0.3.0.tar.gz.

File metadata

  • Download URL: unqlitepy-0.3.0.tar.gz
  • Upload date:
  • Size: 417.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for unqlitepy-0.3.0.tar.gz
Algorithm Hash digest
SHA256 64fc61edb9cec6d0c3513a5b3629647bb08a1b5ade887992dfec5ea29180628c
MD5 8cfed4b8c5ef98788b97ab9a9cc7ac3d
BLAKE2b-256 61d685d11dde754edde502f6cf723095cddb0f2157a8bbc1f004afe3e625ea1c

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