duckdb-utils 0.1.0a4

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duckdb-utils: CLI tool and Python library for manipulating DuckDB databases

CLI tool and Python library for manipulating DuckDB databases

Inspired by and based on sqlite-utils.

Standard DuckDB ships with more powerful batteries than SQLite does, which may make some of the sqlite-utils CLI offerings unnecessary. The Python API, however that sqlite-utils exposes it's really well-designed and pythonic.

What's worthy of porting and what's not, will be decieded on a per-case basis.

NOTE: Initially, I tried (very hard) to avoid a complete lift-and-shift of the sqlite-utils code and use inheritance and monkey-patching instead, but it's proved trickier than I had hoped. Hence, I had to lift-and-shift some core abstractions (see https://github.com/Florents-Tselai/duckdb-utils/pull/14).

API

from duckdb_utils import Database

db = Database(memory=True)
db.execute(
  """
  CREATE TABLE bar (c1 TEXT, c2 INTEGER);
  INSERT INTO bar (c1, c2) values ('c0', 0);
  INSERT INTO bar (c1, c2) values ('c1', 1);
  INSERT INTO bar (c1, c2) values ('c2', 2);
  """
)

 bar = db.table('bar')

assert bar.exists()
assert not existing_db.table('gsdfgf').exists()

assert bar.count_where() == bar.count == 3

assert (list(bar.rows_where()) ==
        list(bar.rows) ==
        [{'c1': 'c0', 'c2': 0},
         {'c1': 'c1', 'c2': 1},
         {'c1': 'c2', 'c2': 2}])

assert bar.columns == [Column(cid=0, name='c1', type='VARCHAR', notnull=False, default_value=None, is_pk=False),
                       Column(cid=1, name='c2', type='INTEGER', notnull=False, default_value=None, is_pk=False)]

assert bar.columns_dict == {'c1': str, 'c2': int}

assert bar.schema == 'CREATE TABLE bar(c1 VARCHAR, c2 INTEGER);'

assert list(bar.pks_and_rows_where()) == [(0, {'c1': 'c0', 'c2': 0, 'rowid': 0}),
                                          (1, {'c1': 'c1', 'c2': 1, 'rowid': 1}),
                                          (2, {'c1': 'c2', 'c2': 2, 'rowid': 2})]

assert list(db.query("select * from bar")) == [{'c1': 'c0', 'c2': 0}, {'c1': 'c1', 'c2': 1}, {'c1': 'c2', 'c2': 2}]


assert list(db.execute("select * from bar").fetchall()) == [('c0', 0), ('c1', 1), ('c2', 2)]

CLI

Usage: duckdb-utils [OPTIONS] COMMAND [ARGS]...

  Commands for interacting with a DuckDB database

Options:
  --version   Show the version and exit.
  -h, --help  Show this message and exit.

Commands:
  query*
  create-table  Add a table with the specified columns.
  insert        Insert records from FILE into a table, creating the table...
  tables        List the tables in the database
  views         List the views in the database