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https://github.com/simonw/csvs-to-sqlite

Convert CSV files into a SQLite database
https://github.com/simonw/csvs-to-sqlite

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Convert CSV files into a SQLite database

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# csvs-to-sqlite



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Convert CSV files into a SQLite database. Browse and publish that SQLite database with [Datasette](https://github.com/simonw/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](https://github.com/openelections/openelections-data-sd/blob/master/2016/20160607__sd__primary__clark__precinct.csv))



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` now requires Python 3. If you are running Python 2 you can install the last version to support Python 2:



    $ pip install csvs-to-sqlite==0.9.2



## 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:     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.



  -d, --date TEXT                 One or more columns to parse into ISO

                                  formatted dates



  -dt, --datetime TEXT            One or more columns to parse into ISO

                                  formatted datetimes



  -df, --datetime-format TEXT     One or more custom date format strings to try

                                  when parsing dates/datetimes



  -pk, --primary-key TEXT         One or more columns to use as the primary key

  -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



  --fixed-column ...   Populate column with a fixed string

  --fixed-column-int ...

                                  Populate column with a fixed integer

  --fixed-column-float ...

                                  Populate column with a fixed float

  --no-index-fks                  Skip adding index to foreign key columns

                                  created using --extract-column (default is to

                                  add them)



  --no-fulltext-fks               Skip adding full-text index on values

                                  extracted using --extract-column (default is

                                  to add them)



  --just-strings                  Import all columns as text strings by default

                                  (and, if specified, still obey --shape,

                                  --date/datetime, and --datetime-format)



  --version                       Show the version and exit.

  --help                          Show this message and exit.



```