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Index a leveldb with tuples

Project Description

Jigfyp is a query-builder for leveldb. It lets you specify leveldb ranges as tuples of strings.

Initializing

Initalize a Jigfyp with a LevelDB object.

import leveldb, Jigfyp

db = leveldb.LevelDB()
j = jigfyp.Jigfyp(db)

Working with individual keys

The key in these examples is b'one!two!three'.

j.put_one((b'one', b'two', b'three'), b'Hi')
j.get_one((b'one', b'two', b'three'))
j.delete_one((b'one', b'two', b'three'))

Working with ranges of keys

Here’s one way of adding a few records.

j.put_one((b'one', b'two', b'three'), b'Hi')
j.put_one((b'one', b'two', b'four'), b'Hi')
j.put_one((b'one', b'two', b'seven), b'Hi')
j.put_one((b'over', b'nine', b'thousand'), b'Hi')

If you’re writing several records, you can use the put_many method to save the same data but with a leveldb.WriteBatch, which is usually faster.

records = [
    ((b'one', b'two', b'three'), b'Hi'),
    ((b'one', b'two', b'four'), b'Hi'),
    ((b'one', b'two', b'seven), b'Hi'),
    ((b'over', b'nine', b'thousand'), b'Hi'),
]
j.put_many(records)

The cool part is the get_many and delete_many methods. With these, you specify a partial key, and everything that starts with that key is emitted. Consider a database containing the four above records. If we pass no arguments to get_many, we’ll read all the data.

j.get_many()

If we pass (b'one', b'two'),

j.get_many(b'one', b'two')

we’ll get three records with these keys

* ``(b'one', b'two', b'three')``
* ``(b'one', b'two', b'four')``

and not the record with these keys

  • (b'one', b'two', b'seven)
  • (b'over', b'nine', b'thousand')

Similarly, if we run the following command,

j.delete_many(b'one')

we delete all the records whose keys begin with b'one', leaving us with a single record in the database, with the key (b'over', b'nine', b'thousand').

Release History

Release History

This version
History Node

0.0.1

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
jigfyp-0.0.1.tar.gz (2.2 kB) Copy SHA256 Checksum SHA256 Source Aug 13, 2015

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