SearchDb 1.0.1

Python dictionary backed by SQLite, includes fast text search and more advanced data structures

SearchDB

A SQLite powered dictionary

Features

• Indexed keys and values
  • Can store dicts, lists, tuples as values (they are not indexed in that case)
• Multi column indexes
  • Use SearchDB as a regular database, store several columns instead of just key-value
  • If column is called "JSON" then datatypes can get stored there (they get converted to JSON)
• Fast Text Search
  • Use Search functions to query large amounts of text.
  • Uses FastTextSearch5 functions in SQLite
• Persists to file
  • Makes sharing dicts easy
  • .merge function merges two different databases with the same structure.

Usage

Basic usage

In [1]: import SearchDb
In [2]: db = SearchDb.SearchDb(":memory:")   # Create an in memory database
In [3]: db["a"] = "alfa"
In [4]: db["a"]
Out[4]: 'alfa'
In [5]: del(db["a"])
In [6]: db["b"] = "beta"
In [7]: db.delete("b")

Store and search text data

• Use search_add("unindexed_key", "lots of text") to add large datasets
• Examples:
  • Index a book, page is key, value is all text in page

Use custom indexes

To set a custom name for your regular key,value index use:
.table_in_use("newname")
To set a custom name for your text search index (one per book for example) use:
.search_table_in_use("python_for_noobs")

Create new table

To create a new table (database) use the .create_tables() function.
First set the name of the new table or tables you wish to create, for instance:

.table_in_use = "new_key_value"  
.multi_table_in_use = "new_multi_column"

.create_tables() # Will now create all the new tables 


.search_table_in_use = "new_indexed_texts" 
.sdb.create_search_index()