sqlite-utils/docs/cli.rst

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.. _python_api:
================================
sqlite-utils command-line tool
================================
The ``sqlite-utils`` command-line tool can be used to manipulate SQLite databases in a number of different ways.
Listing tables
==============
You can list the names of tables in a database using the ``tables`` subcommand::
$ sqlite-utils tables mydb.db
dogs
cats
chickens
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If you just want to see the FTS4 tables, you can use ``--fts4`` (or ``--fts5`` for FTS5 tables)::
$ sqlite-utils tables --fts4 docs.db
docs_fts
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.. _cli_inserting_data:
Inserting data
==============
If you have data as JSON, you can use ``sqlite-utils insert tablename`` to insert it into a database. The table will be created with the correct (automatically detected) columns if it does not already exist.
You can pass in a single JSON object or a list of JSON objects, either as a filename or piped directly to standard-in (by using ``-`` as the filename).
Here's the simplest possible example::
$ echo '{"name": "Cleo", "age": 4}' | sqlite-utils insert dogs.db dogs -
To specify a column as the primary key, use ``--pk=column_name``.
If you feed it a JSON list it will insert multiple records. For example, if ``dogs.json`` looks like this::
[
{
"id": 1,
"name": "Cleo",
"age": 4
},
{
"id": 2,
"name": "Pancakes",
"age": 2
},
{
"id": 3,
"name": "Toby",
"age": 6
}
]
You can import all three records into an automatically created ``dogs`` table and set the ``id`` column as the primary key like so::
$ sqlite-utils insert dogs.db dogs dogs.json --pk=id
Upserting data
==============
Upserting works exactly like inserting, with the exception that if your data has a primary key that matches an already exsting record that record will be replaced with the new data.
After running the above ``dogs.json`` example, try running this::
$ echo '{"id": 2, "name": "Pancakes", "age": 3}' | \
sqlite-utils upsert dogs.db dogs - --pk=id
This will replace the record for id=2 (Pancakes) with a new record with an updated age.
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Vacuum
======
You can run VACUUM to optimize your database like so::
$ sqlite-utils vacuum mydb.db
Optimize
========
The optimize command can dramatically reduce the size of your database if you are using SQLite full-text search. It runs OPTIMIZE against all of our FTS4 and FTS5 tables, then runs VACUUM.
If you just want to run OPTIMIZE without the VACUUM, use the ``--no-vacuum`` flag.
::
# Optimize all FTS tables and then VACUUM
$ sqlite-utils optimize mydb.db
# Optimize but skip the VACUUM
$ sqlite-utils optimize --no-vacuum mydb.db