How to import csv file to sqlite with correct data

When I import a csv file to sqlite database, it imports number as string to integer column, how can I fix this? A line from my csv file like this:

 31,c,BB ROSE - 031,c31,,9,7,0,"142,000",0

回答1:

CSV files do no have data types; everything is a string.

To convert all values in a column into a number, use something like this:

UPDATE MyTable SET MyColumn = CAST(MyColumn AS INTEGER)

回答2:

In SQLite, you cannot change the type affinities of columns. Therefore you should create your table and then .import your CSV file into the table. If your CSV file has a header, that will be treated as data upon import. You can either delete the header before importing (in the CSV file), or delete the header after import (in the table). Since the typeof all the header fields will be TEXT, you can easily find this header in a table where some columns have numeric type affinities.

回答3:

When importing csv files, SQLite assumes all fields are text fields. So you need to perform some extra steps in order to set the correct data types.

However, it is my understanding that you cannot use the ALTER TABLE statement to modify a column in SQLite. Instead, you will need to rename the table, create a new table, and copy the data into the new table.

https://www.techonthenet.com/sqlite/tables/alter_table.php

So suppose I have an employees.csv file I want to import into SQLite database with the correct data types.

employee_id,last_name,first_name,hire_date
1001,adams,john,2010-12-12
1234,griffin,meg,2000-01-01
2233,simpson,bart,1990-02-23

First, create a SQLite database called mydb.sqlite and import employees.csv into a SQLite table called employees.

# create sqlite database called mydb.sqlite
# import data from 'employees.csv' into a SQLite table called 'employees'
# unfortunately, sqlite assumes all fields are text fields

$ sqlite3 mydb.sqlite
sqlite> .mode csv
sqlite> .import employees.csv employees
sqlite> .quit

At this point, the data is imported as text. Let's first get the employees schema from the database and save it to employees.sql.We can use this to create a new script that would rename the table, create a new table, and copy the data into the new table.

$ sqlite3 mydb.sqlite
sqlite> .once employees.sql
sqlite> .schema employees
sqlite> .quit

You should now have employees.sql with the following schema:

CREATE TABLE employees(
  "employee_id" TEXT,
  "last_name" TEXT,
  "first_name" TEXT,
  "hire_date" TEXT
);

Let's now create a SQL filed called alterTable.sql that would rename the table, create a new table, and copy the data into the new table.

alterTable.sql

PRAGMA foreign_keys=off;

BEGIN TRANSACTION;

ALTER TABLE employees RENAME TO _employees_old;


CREATE TABLE employees
( "employee_id" INTEGER,
  "last_name" TEXT,
  "first_name" TEXT,
  "hire_date" NUMERIC
);

INSERT INTO employees ("employee_id", "last_name", "first_name", "hire_date")
  SELECT "employee_id", "last_name", "first_name", "hire_date"
  FROM _employees_old;

COMMIT;

PRAGMA foreign_keys=on;

Finally, we can execute SQL in alterTable.sql and drop the old renamed table

$ sqlite3 mydb.sqlite
sqlite> .read alterTable.sql
sqlite> drop table _employees_old;

At this point, the imported employee data should have the correct data types instead of the default text field.

If you do it this way, you don't have to worry about headers in csv file being imported as data. Other methods might require you delete the header either before or after importing the csv file.