Convert CSV files into a SQLite database
Project description
csvs-to-sqlite
Convert CSV files into a SQLite database. Browse and publish that SQLite database with Datasette.
Basic usage:
csvs-to-sqlite myfile.csv mydatabase.db
This will create a new SQLite database called mydatabase.db
containing a
single table, myfile
, containing the CSV content.
You can provide multiple CSV files:
csvs-to-sqlite one.csv two.csv bundle.db
The bundle.db
database will contain two tables, one
and two
.
This means you can use wildcards:
csvs-to-sqlite ~/Downloads/*.csv my-downloads.db
If you pass a path to one or more directories, the script will recursively search those directories for CSV files and create tables for each one.
csvs-to-sqlite ~/path/to/directory all-my-csvs.db
Handling TSV (tab-separated values)
You can use the -s
option to specify a different delimiter. If you want
to use a tab character you'll need to apply shell escaping like so:
csvs-to-sqlite my-file.tsv my-file.db -s $'\t'
Refactoring columns into separate lookup tables
Let's say you have a CSV file that looks like this:
county,precinct,office,district,party,candidate,votes
Clark,1,President,,REP,John R. Kasich,5
Clark,2,President,,REP,John R. Kasich,0
Clark,3,President,,REP,John R. Kasich,7
(Real example taken from the Open Elections project)
You can now convert selected columns into separate lookup tables using the new
--extract-
column option (shortname: -c
) - for example:
csvs-to-sqlite openelections-data-*/*.csv \
-c county:County:name \
-c precinct:Precinct:name \
-c office -c district -c party -c candidate \
openelections.db
The format is as follows:
column_name:optional_table_name:optional_table_value_column_name
If you just specify the column name e.g. -c office
, the following table will
be created:
CREATE TABLE "office" (
"id" INTEGER PRIMARY KEY,
"value" TEXT
);
If you specify all three options, e.g. -c precinct:Precinct:name
the table
will look like this:
CREATE TABLE "Precinct" (
"id" INTEGER PRIMARY KEY,
"name" TEXT
);
The original tables will be created like this:
CREATE TABLE "ca__primary__san_francisco__precinct" (
"county" INTEGER,
"precinct" INTEGER,
"office" INTEGER,
"district" INTEGER,
"party" INTEGER,
"candidate" INTEGER,
"votes" INTEGER,
FOREIGN KEY (county) REFERENCES County(id),
FOREIGN KEY (party) REFERENCES party(id),
FOREIGN KEY (precinct) REFERENCES Precinct(id),
FOREIGN KEY (office) REFERENCES office(id),
FOREIGN KEY (candidate) REFERENCES candidate(id)
);
They will be populated with IDs that reference the new derived tables.
Installation
pip install csvs-to-sqlite
csvs-to-sqlite --help
Usage: csvs-to-sqlite [OPTIONS] PATHS... DBNAME
PATHS: paths to individual .csv files or to directories containing .csvs
DBNAME: name of the SQLite database file to create
Options:
-s, --separator TEXT Field separator in input .csv
-q, --quoting INTEGER Control field quoting behavior per csv.QUOTE_*
constants. Use one of QUOTE_MINIMAL (0),
QUOTE_ALL (1), QUOTE_NONNUMERIC (2) or QUOTE_NONE
(3).
--skip-errors Skip lines with too many fields instead of
stopping the import
--replace-tables Replace tables if they already exist
-t, --table TEXT Table to use (instead of using CSV filename)
-c, --extract-column TEXT One or more columns to 'extract' into a separate
lookup table. If you pass a simple column name
that column will be replaced with integer foreign
key references to a new table of that name. You
can customize the name of the table like so:
--extract-column state:States:state_name
This will pull unique values from the 'state'
column and use them to populate a new 'States'
table, with an id column primary key and a
state_name column containing the strings from the
original column.
-f, --fts TEXT One or more columns to use to populate a full-
text index
-i, --index TEXT Add index on this column (or a compound index
with -i col1,col2)
--shape TEXT Custom shape for the DB table - format is
csvcol:dbcol(TYPE),...
--filename-column TEXT Add a column with this name and populate with CSV
file name
--no-index-fks Skip adding index to foreign key columns created
using --extract-column (default is to add them)
--version Show the version and exit.
--help Show this message and exit.
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