Loading from Local File

Uploading your local data files to a stage or bucket before loading them into Databend can be unnecessary. Instead, you can use BendSQL, the Databend native CLI tool, to directly import the data. This simplifies the workflow and can save you storage fees.

Please note that the files must be in a format supported by Databend, otherwise the data cannot be imported. For more information on the file formats supported by Databend, see Input & Output File Formats.

Tutorial 1 - Load from a Local File

This tutorial uses a CSV file as an example to demonstrate how to import data into Databend using BendSQL from a local source.

Before You Begin

Download and save the sample file books.csv to a local folder. The file contains two records:

books.csv

Transaction Processing,Jim Gray,1992
Readings in Database Systems,Michael Stonebraker,2004

Step 1. Create Database and Table

❯ bendsql
root@localhost:8000/default> CREATE DATABASE book_db;

root@localhost:8000/default> USE book_db;

root@localhost:8000/book_db> CREATE TABLE books
(
    title VARCHAR,
    author VARCHAR,
    date VARCHAR
);

CREATE TABLE books (
  title VARCHAR,
  author VARCHAR,
  date VARCHAR
)

Step 2. Load Data into Table

Send loading data request with the following command:

❯ bendsql --query='INSERT INTO book_db.books VALUES;' --format=csv --data=@books.csv

note

Be sure that you are able to connect to the backend object storage for Databend from local BendSQL directly. If not, then you need to specify the --set presigned_url_disabled=1 option to disable the presigned url feature.

Step 3. Verify Loaded Data

root@localhost:8000/book_db> SELECT * FROM books;

┌───────────────────────────────────────────────────────────────────────┐
│             title            │        author       │       date       │
│       Nullable(String)       │   Nullable(String)  │ Nullable(String) │
├──────────────────────────────┼─────────────────────┼──────────────────┤
│ Transaction Processing       │ Jim Gray            │ 1992             │
│ Readings in Database Systems │ Michael Stonebraker │ 2004             │
└───────────────────────────────────────────────────────────────────────┘

Tutorial 2 - Load into Specified Columns

In Tutorial 1, you created a table containing three columns that exactly match the data in the sample file. You can also load data into specified columns of a table, so the table does not need to have the same columns as the data to be loaded as long as the specified columns can match. This tutorial shows how to do that.

Before You Begin

Before you start this tutorial, make sure you have completed Tutorial 1.

Step 1. Create Table

Create a table including an extra column named "comments" compared to the table "books":

root@localhost:8000/book_db> CREATE TABLE bookcomments
(
    title VARCHAR,
    author VARCHAR,
    comments VARCHAR,
    date VARCHAR
);

CREATE TABLE bookcomments (
  title VARCHAR,
  author VARCHAR,
  comments VARCHAR,
  date VARCHAR
)

Step 2. Load Data into Table

Send loading data request with the following command:

❯ bendsql --query='INSERT INTO book_db.bookcomments(title,author,date) VALUES;' --format=csv --data=@books.csv

Notice that the query part above specifies the columns (title, author, and date) to match the loaded data.

Step 3. Verify Loaded Data

root@localhost:8000/book_db> SELECT * FROM bookcomments;

┌──────────────────────────────────────────────────────────────────────────────────────────┐
│             title            │        author       │     comments     │       date       │
│       Nullable(String)       │   Nullable(String)  │ Nullable(String) │ Nullable(String) │
├──────────────────────────────┼─────────────────────┼──────────────────┼──────────────────┤
│ Transaction Processing       │ Jim Gray            │ NULL             │ 1992             │
│ Readings in Database Systems │ Michael Stonebraker │ NULL             │ 2004             │
└──────────────────────────────────────────────────────────────────────────────────────────┘